# ECON/REALEST/URBRPL 420: Urban and Regional Economics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ECON_REALEST_URBRPL_420) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 43edd69b2c9b78915674ccbb5612b27800eac62a3b4b513061344d6f80b77310 ### course id ECON/REALEST/URBRPL 420 ### course uid course\_50007f8455de756ef2745b4c ### catalog version id 841d7978c9c7ba0b123f6b872bdaaa09f1a03fbe0534f6942e39e7f589e271dc ### course number 420 ### subjects * ECON * REALEST * URBRPL ### title URBAN AND REGIONAL ECONOMICS ### description Focuses on the study of the allocation of scarce resources across space. Uses economic methods to analyze urban real estate. Topics covered include the determinants of real estate values, the location decisions of households and firms, land use, urban growth and agglomeration, real estate pricing, cycles, development, housing market and policies, and sustainable development. ### requirements text (ECON 101or111) or declared in undergraduate Business Exchange program ### credits min 3 ### credits max 3 ### credit offering ids * 1272:239:003248 * 1272:296:003248 * 1272:944:003248 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 3dc603ee713a98dd5c720c837179719ac7b3ddd073db1cd086b56b3ac1a857d3 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Urban and Regional Economics applies economic methods to analyze urban real estate, land use, and housing markets. ### llm topics * Real estate value determinants * Location decisions * Land use and urban growth * Real estate pricing and cycles * Housing market and policies * Sustainable development ### llm skills * Economic analysis of urban real estate * Spatial resource allocation ### llm assumed background * Principles of microeconomics * Principles of economics (accelerated) ### llm search phrases * urban economics * real estate economics * land use policy * housing markets * agglomeration ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 3d2b58f58f79412f9fd03757e8727ac9d91be7325ec20d9b8ca8c636d6eaf264 #### course id ECON/REALEST/URBRPL 420 #### current instructors ```json [ { "instructor_uid": "instructor_1aee6fcd3797fac5871e7b3e", "message": "No course-specific reviews available", "name": "Joe Walsh", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:1675821", "summary": [] }, { "instructor_uid": "instructor_8dca6762c9c2b25dbd40533a", "message": "No course-specific reviews available", "name": "Tao Guan", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload Historical reviews of Yongheng Deng: Homework can be difficult, though in-class guidance on assignments helps clarify the material. ```json { "citations": [ { "instructor_name": "Yongheng Deng", "review_date": "2020-09-13 21:41:24 +0000 UTC", "review_id": "20a2bc026373002dff1f7cff", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2621123", "source_review_id": "UmF0aW5nLTMzNjQyODkw", "source_url": "https://www.ratemyprofessors.com/professor/2621123", "type": "review" } ] } ``` #### errors None recorded. #### historical context No reviews exist for current instructors Joe Walsh or Tao Guan. Historical reviews for Stephen Malpezzi and Yongheng Deng provide the only available context for this course. ```json { "citations": [ { "instructor_name": "Stephen Malpezzi", "review_date": "2013-06-07 13:58:40 +0000 UTC", "review_id": "a6a10b5d644e58493ad8a7eb", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:806520", "source_review_id": "UmF0aW5nLTIxODcyNzE1", "source_url": "https://www.ratemyprofessors.com/professor/806520", "type": "review" }, { "instructor_name": "Yongheng Deng", "review_date": "2020-09-13 21:41:24 +0000 UTC", "review_id": "20a2bc026373002dff1f7cff", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2621123", "source_review_id": "UmF0aW5nLTMzNjQyODkw", "source_url": "https://www.ratemyprofessors.com/professor/2621123", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews describe the course as either very easy or moderately difficult, with instructors ranging from charismatic to passionate but hard to understand. ```json { "citations": [ { "instructor_name": "Stephen Malpezzi", "review_date": "2013-06-07 13:58:40 +0000 UTC", "review_id": "a6a10b5d644e58493ad8a7eb", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:806520", "source_review_id": "UmF0aW5nLTIxODcyNzE1", "source_url": "https://www.ratemyprofessors.com/professor/806520", "type": "review" }, { "instructor_name": "Yongheng Deng", "review_date": "2020-09-13 21:41:24 +0000 UTC", "review_id": "20a2bc026373002dff1f7cff", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2621123", "source_review_id": "UmF0aW5nLTMzNjQyODkw", "source_url": "https://www.ratemyprofessors.com/professor/2621123", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.56 GPA, 78.2% A/AB (n=142 letter grades); Fall 2025: 3.52 GPA, 76.9% A/AB (n=160 letter grades); Spring 2026: 3.53 GPA, 74.3% A/AB (n=152 letter grades). ```json { "citations": [ { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Stephen Malpezzi, Yongheng Deng: Instructor personality and clarity significantly impact the experience, with some finding the class interesting and others struggling with strong accents or unclear test questions. ```json { "citations": [ { "instructor_name": "Stephen Malpezzi", "review_date": "2013-06-07 13:58:40 +0000 UTC", "review_id": "a6a10b5d644e58493ad8a7eb", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:806520", "source_review_id": "UmF0aW5nLTIxODcyNzE1", "source_url": "https://www.ratemyprofessors.com/professor/806520", "type": "review" }, { "instructor_name": "Yongheng Deng", "review_date": "2020-09-13 21:41:24 +0000 UTC", "review_id": "20a2bc026373002dff1f7cff", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2621123", "source_review_id": "UmF0aW5nLTMzNjQyODkw", "source_url": "https://www.ratemyprofessors.com/professor/2621123", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history STEPHEN MALPEZZI is recorded teaching in Spring 2010, Fall 2010, Fall 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1124", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" } ] } ``` YONGHENG DENG is recorded teaching in Spring 2019, Spring 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ECON/REALEST/URBRPL 420", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "source_record": { "entity_id": "85d76a6d-14ae-39a4-bca1-bde90c3fae1b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "(ECON 101or111) or declared in undergraduate Business Exchange program", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "ECON 101or111", "id": "n1", "kind": "any" }, { "children": [], "condition": "declared in undergraduate Business Exchange program", "course": null, "evidence": "declared in undergraduate Business Exchange program", "id": "n2", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 101, "minimum_grade": null, "subjects": [ "ECON" ], "timing": "prior" }, "evidence": "ECON 101or111", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 111, "minimum_grade": null, "subjects": [ "ECON" ], "timing": "prior" }, "evidence": "ECON 101or111", "id": "n4", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_1aee6fcd3797fac5871e7b3e", "source": "enrollment", "source_instructor_id": "jgwalsh", "identity_basis": "netid", "identity_status": "source_identified", "name": "Joe Walsh", "email": "JOEWALSH@BUS.WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 15, "quality": 3.73, "difficulty": 2.8, "quality_count": 15, "difficulty_count": 15, "profile_id": "rmp:1675821", "source_url": "https://www.ratemyprofessors.com/professor/1675821", "match_basis": "exact_name", "observed_at": "2026-09-07 16:28:24.517430+00:00", "courses": {}, "bayesian_quality": 3.6898204477409116, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/JOE_WALSH" }, { "instructor_uid": "instructor_8dca6762c9c2b25dbd40533a", "source": "enrollment", "source_instructor_id": "tguan34", "identity_basis": "netid", "identity_status": "source_identified", "name": "Tao Guan", "email": "TGUAN34@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/TAO_GUAN" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:239:003248", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1272", "source_course_id": "003248", "source_subject_id": "239", "title": "Urban and Regional Economics", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:296:003248", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1272", "source_course_id": "003248", "source_subject_id": "296", "title": "Urban and Regional Economics", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:944:003248", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1272", "source_course_id": "003248", "source_subject_id": "944", "title": "Urban and Regional Economics", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10933", "term_id": "1272", "source_section_id": "10933", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 39, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:11047", "term_id": "1272", "source_section_id": "11047", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 47, "waitlisted": 2, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:20305", "term_id": "1272", "source_section_id": "20305", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 25, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:30235", "term_id": "1272", "source_section_id": "30235", "identity_basis": "class_number", "section_number": "004", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 47, "waitlisted": 1, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:12947", "term_id": "1272", "source_section_id": "12947", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 47, "enrolled": 10, "waitlisted": 2, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:16034", "term_id": "1272", "source_section_id": "16034", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 47, "enrolled": 3, "waitlisted": 2, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:20317", "term_id": "1272", "source_section_id": "20317", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 45, "enrolled": 16, "waitlisted": 1, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:30240", "term_id": "1272", "source_section_id": "30240", "identity_basis": "class_number", "section_number": "004", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 43, "enrolled": 2, "waitlisted": 3, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:13712", "term_id": "1272", "source_section_id": "13712", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 60, "enrolled": 0, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:16035", "term_id": "1272", "source_section_id": "16035", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 60, "enrolled": 0, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:20318", "term_id": "1272", "source_section_id": "20318", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 60, "enrolled": 2, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:30241", "term_id": "1272", "source_section_id": "30241", "identity_basis": "class_number", "section_number": "004", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 43, "enrolled": 0, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_20f498b1ccd58df88ce36b74", "source": "madgrades", "source_instructor_id": "202405", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MORRIS A. DAVIS", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.425, "graded": 536, "counts": [ 211, 124, 138, 40, 22, 0, 1 ], "sections": 15 }, "instructor_url": "/instructors/MORRIS_A_DAVIS--instructor_20f498b1ccd58df88ce36b74" }, { "instructor_uid": "instructor_c17da8d3f0884aea3e12929a", "source": "madgrades", "source_instructor_id": "778762", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOSEPH WALSH", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.514, "graded": 2635, "counts": [ 1219, 594, 598, 146, 69, 7, 2 ], "sections": 103 }, "instructor_url": "/instructors/JOSEPH_WALSH--instructor_c17da8d3f0884aea3e12929a" }, { "instructor_uid": "instructor_7afc2cf9874287c263dda9d5", "source": "madgrades", "source_instructor_id": "4601634", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ABDULLAH YAVAS", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.168, "graded": 741, "counts": [ 207, 169, 172, 90, 88, 11, 4 ], "sections": 30 }, "instructor_url": "/instructors/ABDULLAH_YAVAS--instructor_7afc2cf9874287c263dda9d5" }, { "instructor_uid": "instructor_272564807a7fed79b4cf50ec", "source": "madgrades", "source_instructor_id": "2600554", "identity_basis": "source_id", "identity_status": "source_identified", "name": "STEPHEN MALPEZZI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 7, "quality": 3.71, "difficulty": 2, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:806520", "source_url": "https://www.ratemyprofessors.com/professor/806520", "match_basis": "exact_name", "observed_at": "2026-09-07 16:04:46.551888+00:00", "courses": { "course_50007f8455de756ef2745b4c": { "review_count": 1, "quality": 4, "difficulty": 1, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.672730210034515, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.452, "graded": 952, "counts": [ 350, 310, 196, 62, 26, 6, 2 ], "sections": 34 }, "instructor_url": "/instructors/STEPHEN_MALPEZZI" }, { "instructor_uid": "instructor_e15e1a245191e94e0325d0f0", "source": "madgrades", "source_instructor_id": "321374", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JUN ZHU", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.543, "graded": 483, "counts": [ 178, 184, 110, 7, 4, 0, 0 ], "sections": 61 }, "instructor_url": "/instructors/JUN_ZHU--instructor_e15e1a245191e94e0325d0f0" }, { "instructor_uid": "instructor_63cff9bd22402edb8bab2d88", "source": "madgrades", "source_instructor_id": "5110727", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JAIME LUQUE", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.531, "graded": 604, "counts": [ 228, 235, 115, 18, 4, 0, 4 ], "sections": 18 }, "instructor_url": "/instructors/JAIME_LUQUE--instructor_63cff9bd22402edb8bab2d88" }, { "instructor_uid": "instructor_3a32bac5647d48dd38e2d0c3", "source": "madgrades", "source_instructor_id": "3345705", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NURIDDIN IKROMOV", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 2.992, "graded": 244, "counts": [ 61, 48, 48, 36, 37, 10, 4 ], "sections": 6 }, "instructor_url": "/instructors/NURIDDIN_IKROMOV" }, { "instructor_uid": "instructor_0459b3c367f20cc16868ed8d", "source": "madgrades", "source_instructor_id": "6175503", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALINA AREFEVA", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 9, "quality": 3.11, "difficulty": 2.56, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2516319", "source_url": "https://www.ratemyprofessors.com/professor/2516319", "match_basis": "exact_name", "observed_at": "2026-09-07 16:56:38.095110+00:00", "courses": {}, "bayesian_quality": 3.489093643825238, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.428, "graded": 877, "counts": [ 290, 300, 187, 83, 13, 2, 2 ], "sections": 31 }, "instructor_url": "/instructors/ALINA_AREFEVA" }, { "instructor_uid": "instructor_3126184a252046f6ec11ed6f", "source": "madgrades", "source_instructor_id": "6101764", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YONGHENG DENG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 5, "quality": 2.8, "difficulty": 2.4, "quality_count": 5, "difficulty_count": 5, "profile_id": "rmp:2621123", "source_url": "https://www.ratemyprofessors.com/professor/2621123", "match_basis": "exact_name", "observed_at": "2026-09-07 15:57:36.349349+00:00", "courses": { "course_50007f8455de756ef2745b4c": { "review_count": 1, "quality": 4, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.487748626837276, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.509, "graded": 535, "counts": [ 223, 173, 98, 26, 8, 5, 2 ], "sections": 23 }, "instructor_url": "/instructors/YONGHENG_DENG--instructor_3126184a252046f6ec11ed6f" }, { "instructor_uid": "instructor_2255a98d377dcbf609581251", "source": "madgrades", "source_instructor_id": "572375", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARK EPPLI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 2, "quality": 4, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2475077", "source_url": "https://www.ratemyprofessors.com/professor/2475077", "match_basis": "exact_name", "observed_at": "2026-09-07 16:20:38.433750+00:00", "courses": {}, "bayesian_quality": 3.690623439587814, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.402, "graded": 690, "counts": [ 260, 209, 128, 52, 27, 8, 6 ], "sections": 22 }, "instructor_url": "/instructors/MARK_EPPLI--instructor_2255a98d377dcbf609581251" }, { "instructor_uid": "instructor_c42f61383ccc29c68d73bbad", "source": "madgrades", "source_instructor_id": "5904473", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHENGWEI GUO", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.451, "graded": 391, "counts": [ 135, 129, 95, 24, 6, 1, 1 ], "sections": 10 }, "instructor_url": "/instructors/SHENGWEI_GUO--instructor_c42f61383ccc29c68d73bbad" }, { "instructor_uid": "instructor_050c3e202589e9001649742a", "source": "madgrades", "source_instructor_id": "6315771", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LU HAN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 10, "quality": 4.2, "difficulty": 3.8, "quality_count": 10, "difficulty_count": 10, "profile_id": "rmp:2654368", "source_url": "https://www.ratemyprofessors.com/professor/2654368", "match_basis": "exact_name", "observed_at": "2026-09-07 16:22:42.153575+00:00", "courses": {}, "bayesian_quality": 3.839790522364397, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.458, "graded": 464, "counts": [ 157, 154, 120, 31, 0, 0, 2 ], "sections": 18 }, "instructor_url": "/instructors/LU_HAN--instructor_050c3e202589e9001649742a" }, { "instructor_uid": "instructor_733d59ed19a0dcc025cabef3", "source": "madgrades", "source_instructor_id": "6219707", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DA LI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.514, "graded": 179, "counts": [ 67, 69, 30, 9, 3, 1, 0 ], "sections": 11 }, "instructor_url": "/instructors/DA_LI--instructor_733d59ed19a0dcc025cabef3" }, { "instructor_uid": "instructor_919b9d4993c8b8b975988232", "source": "madgrades", "source_instructor_id": "5333465", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ASAD KHAN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 2, "quality": 1, "difficulty": 4, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2633103", "source_url": "https://www.ratemyprofessors.com/professor/2633103", "match_basis": "exact_name", "observed_at": "2026-09-07 16:54:07.506239+00:00", "courses": {}, "bayesian_quality": 3.417896166860541, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.287, "graded": 54, "counts": [ 15, 17, 11, 8, 2, 1, 0 ], "sections": 1 }, "instructor_url": "/instructors/ASAD_KHAN" }, { "instructor_uid": "instructor_fe9fb3d97daeb4c097669837", "source": "madgrades", "source_instructor_id": "6218329", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CONGYAN HAN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.428, "graded": 346, "counts": [ 121, 104, 86, 26, 7, 1, 1 ], "sections": 9 }, "instructor_url": "/instructors/CONGYAN_HAN--instructor_fe9fb3d97daeb4c097669837" }, { "instructor_uid": "instructor_60bfccd722d114171230760d", "source": "madgrades", "source_instructor_id": "6236777", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YUWEN JI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.485, "graded": 240, "counts": [ 92, 73, 55, 16, 4, 0, 0 ], "sections": 8 }, "instructor_url": "/instructors/YUWEN_JI--instructor_60bfccd722d114171230760d" }, { "instructor_uid": "instructor_15553022ce73ac718f744e79", "source": "madgrades", "source_instructor_id": "4365495", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DENA LOMONOSOV", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.615, "graded": 208, "counts": [ 111, 57, 26, 9, 4, 0, 1 ], "sections": 10 }, "instructor_url": "/instructors/DENA_LOMONOSOV--instructor_15553022ce73ac718f744e79" }, { "instructor_uid": "instructor_6dfbbc347c8f8466b556cd88", "source": "madgrades", "source_instructor_id": "6295630", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HEEJIN YOON", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.399, "graded": 326, "counts": [ 120, 97, 57, 33, 16, 3, 0 ], "sections": 13 }, "instructor_url": "/instructors/HEEJIN_YOON" }, { "instructor_uid": "instructor_1a933e319d90429ef965bf31", "source": "madgrades", "source_instructor_id": "6552219", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZACH BABAT", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.496, "graded": 244, "counts": [ 91, 88, 48, 12, 3, 1, 1 ], "sections": 6 }, "instructor_url": "/instructors/ZACH_BABAT--instructor_1a933e319d90429ef965bf31" }, { "instructor_uid": "instructor_0ada67a65f66cde538870a35", "source": "madgrades", "source_instructor_id": "6765116", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARY HANCOCK", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.562, "graded": 72, "counts": [ 34, 20, 13, 3, 2, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/MARY_HANCOCK" }, { "instructor_uid": "instructor_2ec9579d7217b439536a6c91", "source": "madgrades", "source_instructor_id": "6643787", "identity_basis": "source_id", "identity_status": "source_identified", "name": "AILEY FANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.523, "graded": 109, "counts": [ 46, 36, 19, 4, 3, 1, 0 ], "sections": 3 }, "instructor_url": "/instructors/AILEY_FANG" }, { "instructor_uid": "instructor_1aee6fcd3797fac5871e7b3e", "source": "enrollment", "source_instructor_id": "jgwalsh", "identity_basis": "netid", "identity_status": "source_identified", "name": "Joe Walsh", "email": "JOEWALSH@BUS.WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 15, "quality": 3.73, "difficulty": 2.8, "quality_count": 15, "difficulty_count": 15, "profile_id": "rmp:1675821", "source_url": "https://www.ratemyprofessors.com/professor/1675821", "match_basis": "exact_name", "observed_at": "2026-09-07 16:28:24.517430+00:00", "courses": {}, "bayesian_quality": 3.6898204477409116, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/JOE_WALSH" }, { "instructor_uid": "instructor_8dca6762c9c2b25dbd40533a", "source": "enrollment", "source_instructor_id": "tguan34", "identity_basis": "netid", "identity_status": "source_identified", "name": "Tao Guan", "email": "TGUAN34@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/TAO_GUAN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "MORRIS A. DAVIS" ], "a": 20, "ab": 20, "b": 22, "bc": 8, "c": 4, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 74, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "MORRIS A. DAVIS" ], "a": 13, "ab": 9, "b": 11, "bc": 1, "c": 3, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 1, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 39, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "MORRIS A. DAVIS" ], "a": 20, "ab": 16, "b": 29, "bc": 0, "c": 3, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 68, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "MORRIS A. DAVIS" ], "a": 12, "ab": 10, "b": 12, "bc": 5, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 40, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "MORRIS A. DAVIS" ], "a": 15, "ab": 12, "b": 26, "bc": 14, "c": 10, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 77, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "JOSEPH WALSH" ], "a": 12, "ab": 12, "b": 10, "bc": 0, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 1, "total": 37, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "Abdullah Yavas" ], "a": 16, "ab": 13, "b": 25, "bc": 8, "c": 9, "d": 2, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 74, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "STEPHEN MALPEZZI" ], "a": 14, "ab": 13, "b": 8, "bc": 2, "c": 2, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 40, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "Jun Zhu", "STEPHEN MALPEZZI" ], "a": 7, "ab": 17, "b": 17, "bc": 5, "c": 4, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 50, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "MORRIS A. DAVIS" ], "a": 7, "ab": 5, "b": 13, "bc": 7, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 32, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "STEPHEN MALPEZZI" ], "a": 7, "ab": 16, "b": 10, "bc": 10, "c": 1, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "STEPHEN MALPEZZI" ], "a": 13, "ab": 9, "b": 7, "bc": 4, "c": 2, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "JAIME LUQUE" ], "a": 16, "ab": 8, "b": 15, "bc": 7, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "STEPHEN MALPEZZI" ], "a": 10, "ab": 14, "b": 12, "bc": 4, "c": 1, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "JAIME LUQUE" ], "a": 21, "ab": 26, "b": 15, "bc": 2, "c": 1, "d": 0, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 67, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "STEPHEN MALPEZZI" ], "a": 14, "ab": 20, "b": 6, "bc": 4, "c": 3, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "JAIME LUQUE" ], "a": 18, "ab": 25, "b": 20, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 65, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "STEPHEN MALPEZZI" ], "a": 29, "ab": 12, "b": 1, "bc": 0, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "JAIME LUQUE" ], "a": 31, "ab": 31, "b": 16, "bc": 4, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 83, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "STEPHEN MALPEZZI" ], "a": 57, "ab": 23, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 84, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "JAIME LUQUE" ], "a": 31, "ab": 41, "b": 19, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 95, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "NURIDDIN IKROMOV" ], "a": 32, "ab": 25, "b": 27, "bc": 16, "c": 19, "d": 5, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 127, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "JAIME LUQUE" ], "a": 31, "ab": 57, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 92, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "NURIDDIN IKROMOV" ], "a": 29, "ab": 23, "b": 21, "bc": 20, "c": 18, "d": 5, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 117, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "ALINA AREFEVA" ], "a": 30, "ab": 29, "b": 31, "bc": 20, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 112, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Yongheng Deng" ], "a": 44, "ab": 23, "b": 27, "bc": 1, "c": 3, "d": 4, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 103, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "ALINA AREFEVA" ], "a": 42, "ab": 71, "b": 35, "bc": 6, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 156, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Mark Eppli", "SHENGWEI GUO", "Yongheng Deng" ], "a": 40, "ab": 40, "b": 13, "bc": 2, "c": 0, "d": 1, "f": 0, "satisfactory": 18, "unsatisfactory": 3, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 117, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "ASAD KHAN", "CONGYAN HAN", "Dan Li", "Lu Han", "SHENGWEI GUO" ], "a": 45, "ab": 48, "b": 38, "bc": 17, "c": 2, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 152, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "CONGYAN HAN", "Lu Han", "YUWEN JI", "Yongheng Deng" ], "a": 54, "ab": 57, "b": 48, "bc": 11, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 171, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "ALINA AREFEVA", "SHENGWEI GUO" ], "a": 38, "ab": 34, "b": 33, "bc": 5, "c": 1, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 113, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "DENA LOMONOSOV", "HEEJIN YOON", "JOSEPH WALSH", "Yongheng Deng" ], "a": 57, "ab": 58, "b": 36, "bc": 12, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 166, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "ALINA AREFEVA", "DENA LOMONOSOV" ], "a": 52, "ab": 46, "b": 18, "bc": 38, "c": 2, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 157, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "HEEJIN YOON", "Lu Han", "YUWEN JI", "Yongheng Deng" ], "a": 58, "ab": 55, "b": 39, "bc": 9, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 162, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "ALINA AREFEVA", "CONGYAN HAN", "SHENGWEI GUO" ], "a": 52, "ab": 52, "b": 37, "bc": 13, "c": 7, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 161, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "CONGYAN HAN", "HEEJIN YOON", "Lu Han", "Yongheng Deng", "Zach Babat" ], "a": 71, "ab": 59, "b": 36, "bc": 19, "c": 1, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 187, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "ALINA AREFEVA", "DENA LOMONOSOV" ], "a": 57, "ab": 54, "b": 25, "bc": 4, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 143, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "HEEJIN YOON", "JOSEPH WALSH", "Lu Han", "Yongheng Deng", "Zach Babat" ], "a": 62, "ab": 61, "b": 26, "bc": 8, "c": 2, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 160, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON/REALEST/URBRPL 420", "course_uid": "course_50007f8455de756ef2745b4c", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "AILEY FANG", "ALINA AREFEVA", "DENA LOMONOSOV", "MARY HANCOCK", "Zach Babat" ], "a": 68, "ab": 45, "b": 26, "bc": 7, "c": 5, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 152, "source_aliases": [ "ECON/REALEST/URBRPL 420" ] } ] ``` ### statistics #### gpa 3.399 #### graded 3706 #### counts * 1245 * 1189 * 818 * 297 * 116 * 25 * 16 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_50007f8455de756ef2745b4c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_50007f8455de756ef2745b4c-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_50007f8455de756ef2745b4c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_50007f8455de756ef2745b4c-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_50007f8455de756ef2745b4c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_50007f8455de756ef2745b4c-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_50007f8455de756ef2745b4c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_50007f8455de756ef2745b4c-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_50007f8455de756ef2745b4c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_50007f8455de756ef2745b4c-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.398542903399892 #### count 3706 #### university ##### size 5784 ##### gpa Percentile 17 ##### count Percentile 96 ##### median Count 240.5 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 12 | false | | 2.8–3.2 | 363 | false | | 3.2–3.6 | 1576 | true | | 3.6–4.0 | 3833 | false | #### departments ```json [ { "subject": "ECON", "comparison": { "size": 124, "gpaPercentile": 41, "countPercentile": 92, "medianCount": 357.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 21, "current": false }, { "range": "3.2–3.6", "count": 49, "current": true }, { "range": "3.6–4.0", "count": 54, "current": false } ] } }, { "subject": "REALEST", "comparison": { "size": 32, "gpaPercentile": 10, "countPercentile": 97, "medianCount": 386, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 21, "current": false } ] } }, { "subject": "URBRPL", "comparison": { "size": 47, "gpaPercentile": 9, "countPercentile": 98, "medianCount": 196, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 38, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.2972972972972974 ##### count 74 ##### university ###### size 723 ###### gpa Percentile 44 ###### count Percentile 54 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 62 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 306 | true | | 3.6–4.0 | 180 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 22, "gpaPercentile": 81, "countPercentile": 43, "medianCount": 81.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1074 ##### term 1074 ##### gpa 3.289473684210526 ##### count 38 ##### university ###### size 695 ###### gpa Percentile 44 ###### count Percentile 15 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | true | | 3.6–4.0 | 199 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 24, "gpaPercentile": 83, "countPercentile": 22, "medianCount": 59.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1082 ##### term 1082 ##### gpa 3.3676470588235294 ##### count 68 ##### university ###### size 723 ###### gpa Percentile 52 ###### count Percentile 49 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 51 | false | | 2.8–3.2 | 202 | false | | 3.2–3.6 | 265 | true | | 3.6–4.0 | 204 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 23, "gpaPercentile": 91, "countPercentile": 45, "medianCount": 86, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1084 ##### term 1084 ##### gpa 3.3375 ##### count 40 ##### university ###### size 720 ###### gpa Percentile 47 ###### count Percentile 20 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 248 | true | | 3.6–4.0 | 217 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 25, "gpaPercentile": 83, "countPercentile": 21, "medianCount": 50, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1092 ##### term 1092 ##### gpa 3.051948051948052 ##### count 77 ##### university ###### size 732 ###### gpa Percentile 21 ###### count Percentile 53 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 41 | false | | 2.8–3.2 | 208 | true | | 3.2–3.6 | 271 | false | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 24, "gpaPercentile": 57, "countPercentile": 48, "medianCount": 78, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1094 ##### term 1094 ##### gpa 3.4444444444444446 ##### count 36 ##### university ###### size 758 ###### gpa Percentile 54 ###### count Percentile 12 ###### median Count 71 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 35 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | true | | 3.6–4.0 | 236 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 24, "gpaPercentile": 83, "countPercentile": 4, "medianCount": 97, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1102 ##### term 1102 ##### gpa 3.0337837837837838 ##### count 74 ##### university ###### size 774 ###### gpa Percentile 20 ###### count Percentile 55 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | true | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 27, "gpaPercentile": 42, "countPercentile": 54, "medianCount": 65, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 12, "current": true }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1104 ##### term 1104 ##### gpa 3.3875 ##### count 40 ##### university ###### size 793 ###### gpa Percentile 49 ###### count Percentile 22 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | false | | 3.2–3.6 | 294 | true | | 3.6–4.0 | 241 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 26, "gpaPercentile": 88, "countPercentile": 20, "medianCount": 93, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1112 ##### term 1112 ##### gpa 3.18 ##### count 50 ##### university ###### size 805 ###### gpa Percentile 31 ###### count Percentile 34 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 218 | true | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 26, "gpaPercentile": 68, "countPercentile": 28, "medianCount": 60, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 16, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1114 ##### term 1114 ##### gpa 3.1875 ##### count 32 ##### university ###### size 804 ###### gpa Percentile 33 ###### count Percentile 6 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 231 | true | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 30, "gpaPercentile": 66, "countPercentile": 10, "medianCount": 77.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 20, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1122 ##### term 1122 ##### gpa 3.0638297872340425 ##### count 47 ##### university ###### size 804 ###### gpa Percentile 23 ###### count Percentile 30 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | true | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 32, "gpaPercentile": 52, "countPercentile": 39, "medianCount": 75, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 19, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1124 ##### term 1124 ##### gpa 3.2916666666666665 ##### count 36 ##### university ###### size 821 ###### gpa Percentile 39 ###### count Percentile 14 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 39 | false | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | true | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 24, "gpaPercentile": 74, "countPercentile": 22, "medianCount": 116, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1132 ##### term 1132 ##### gpa 3.358695652173913 ##### count 46 ##### university ###### size 851 ###### gpa Percentile 48 ###### count Percentile 31 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | true | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 27, "gpaPercentile": 88, "countPercentile": 31, "medianCount": 103, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1134 ##### term 1134 ##### gpa 3.2093023255813953 ##### count 43 ##### university ###### size 852 ###### gpa Percentile 32 ###### count Percentile 25 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | true | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 25, "gpaPercentile": 71, "countPercentile": 25, "medianCount": 109, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 16, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1142 ##### term 1142 ##### gpa 3.388059701492537 ##### count 67 ##### university ###### size 853 ###### gpa Percentile 50 ###### count Percentile 50 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | true | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 27, "gpaPercentile": 85, "countPercentile": 31, "medianCount": 111, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 17, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1144 ##### term 1144 ##### gpa 3.404255319148936 ##### count 47 ##### university ###### size 878 ###### gpa Percentile 50 ###### count Percentile 30 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | true | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 28, "gpaPercentile": 74, "countPercentile": 22, "medianCount": 80.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1152 ##### term 1152 ##### gpa 3.453846153846154 ##### count 65 ##### university ###### size 918 ###### gpa Percentile 55 ###### count Percentile 49 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 33, "gpaPercentile": 84, "countPercentile": 38, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1154 ##### term 1154 ##### gpa 3.75 ##### count 44 ##### university ###### size 935 ###### gpa Percentile 76 ###### count Percentile 28 ###### median Count 63 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 30, "gpaPercentile": 97, "countPercentile": 24, "medianCount": 77, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 14, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1162 ##### term 1162 ##### gpa 3.5240963855421685 ##### count 83 ##### university ###### size 954 ###### gpa Percentile 56 ###### count Percentile 62 ###### median Count 64.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 350 | true | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 32, "gpaPercentile": 77, "countPercentile": 42, "medianCount": 87, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 14, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1164 ##### term 1164 ##### gpa 3.8154761904761907 ##### count 84 ##### university ###### size 965 ###### gpa Percentile 79 ###### count Percentile 62 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 32, "gpaPercentile": 100, "countPercentile": 55, "medianCount": 83, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 14, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1172 ##### term 1172 ##### gpa 3.543010752688172 ##### count 93 ##### university ###### size 991 ###### gpa Percentile 56 ###### count Percentile 67 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 34, "gpaPercentile": 76, "countPercentile": 52, "medianCount": 91.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 16, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1174 ##### term 1174 ##### gpa 2.9881889763779528 ##### count 127 ##### university ###### size 955 ###### gpa Percentile 9 ###### count Percentile 78 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | true | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 31, "gpaPercentile": 10, "countPercentile": 67, "medianCount": 97, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1182 ##### term 1182 ##### gpa 3.6467391304347827 ##### count 92 ##### university ###### size 1025 ###### gpa Percentile 65 ###### count Percentile 65 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 38, "gpaPercentile": 86, "countPercentile": 62, "medianCount": 84, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 17, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1184 ##### term 1184 ##### gpa 2.9957264957264957 ##### count 117 ##### university ###### size 1010 ###### gpa Percentile 10 ###### count Percentile 75 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | true | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 33, "gpaPercentile": 13, "countPercentile": 66, "medianCount": 87, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 12, "current": true }, { "range": "3.2–3.6", "count": 15, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1192 ##### term 1192 ##### gpa 3.3018018018018016 ##### count 111 ##### university ###### size 1077 ###### gpa Percentile 30 ###### count Percentile 72 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | true | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 38, "gpaPercentile": 57, "countPercentile": 68, "medianCount": 85, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 16, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1194 ##### term 1194 ##### gpa 3.3980582524271843 ##### count 103 ##### university ###### size 1040 ###### gpa Percentile 39 ###### count Percentile 71 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | true | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 33, "gpaPercentile": 72, "countPercentile": 63, "medianCount": 91, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 14, "current": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1202 ##### term 1202 ##### gpa 3.4612903225806453 ##### count 155 ##### university ###### size 1102 ###### gpa Percentile 42 ###### count Percentile 82 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 38, "gpaPercentile": 73, "countPercentile": 76, "medianCount": 87.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 16, "current": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1204 ##### term 1204 ##### gpa 3.59375 ##### count 96 ##### university ###### size 1012 ###### gpa Percentile 31 ###### count Percentile 69 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | true | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 33, "gpaPercentile": 56, "countPercentile": 69, "medianCount": 79, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 18, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1212 ##### term 1212 ##### gpa 3.3741721854304636 ##### count 151 ##### university ###### size 1111 ###### gpa Percentile 25 ###### count Percentile 81 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 43, "gpaPercentile": 40, "countPercentile": 81, "medianCount": 62, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 21, "current": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1222 ##### term 1222 ##### gpa 3.4444444444444446 ##### count 171 ##### university ###### size 1157 ###### gpa Percentile 33 ###### count Percentile 83 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 37, "gpaPercentile": 56, "countPercentile": 78, "medianCount": 79, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1224 ##### term 1224 ##### gpa 3.411504424778761 ##### count 113 ##### university ###### size 1171 ###### gpa Percentile 30 ###### count Percentile 74 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 37, "gpaPercentile": 58, "countPercentile": 75, "medianCount": 71, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 15, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1232 ##### term 1232 ##### gpa 3.4727272727272727 ##### count 165 ##### university ###### size 1216 ###### gpa Percentile 34 ###### count Percentile 83 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 38, "gpaPercentile": 70, "countPercentile": 78, "medianCount": 68.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1234 ##### term 1234 ##### gpa 3.3248407643312103 ##### count 157 ##### university ###### size 1188 ###### gpa Percentile 23 ###### count Percentile 83 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 36, "gpaPercentile": 49, "countPercentile": 80, "medianCount": 70.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 15, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "REALEST", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1242 ##### term 1242 ##### gpa 3.493827160493827 ##### count 162 ##### university ###### size 1295 ###### gpa Percentile 33 ###### count Percentile 82 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | true | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 44, "gpaPercentile": 58, "countPercentile": 81, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 19, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } }, { "subject": "REALEST", "comparison": { "size": 13, "gpaPercentile": 58, "countPercentile": 83, "medianCount": 85, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1244 ##### term 1244 ##### gpa 3.400621118012422 ##### count 161 ##### university ###### size 1241 ###### gpa Percentile 25 ###### count Percentile 84 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 36, "gpaPercentile": 54, "countPercentile": 77, "medianCount": 85.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "REALEST", "comparison": { "size": 15, "gpaPercentile": 21, "countPercentile": 93, "medianCount": 50, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1252 ##### term 1252 ##### gpa 3.46524064171123 ##### count 187 ##### university ###### size 1333 ###### gpa Percentile 29 ###### count Percentile 85 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 46, "gpaPercentile": 62, "countPercentile": 82, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 26, "current": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } }, { "subject": "REALEST", "comparison": { "size": 13, "gpaPercentile": 17, "countPercentile": 83, "medianCount": 120, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1254 ##### term 1254 ##### gpa 3.563380281690141 ##### count 142 ##### university ###### size 1289 ###### gpa Percentile 37 ###### count Percentile 81 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 39, "gpaPercentile": 71, "countPercentile": 76, "medianCount": 73, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } }, { "subject": "REALEST", "comparison": { "size": 14, "gpaPercentile": 31, "countPercentile": 92, "medianCount": 72.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1262 ##### term 1262 ##### gpa 3.521875 ##### count 160 ##### university ###### size 1320 ###### gpa Percentile 32 ###### count Percentile 82 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 40, "gpaPercentile": 64, "countPercentile": 79, "medianCount": 65.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 21, "current": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } }, { "subject": "REALEST", "comparison": { "size": 11, "gpaPercentile": 70, "countPercentile": 80, "medianCount": 129, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1264 ##### term 1264 ##### gpa 3.526315789473684 ##### count 152 ##### university ###### size 1283 ###### gpa Percentile 32 ###### count Percentile 82 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 37, "gpaPercentile": 64, "countPercentile": 72, "medianCount": 53, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } }, { "subject": "REALEST", "comparison": { "size": 10, "gpaPercentile": 22, "countPercentile": 78, "medianCount": 84.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "URBRPL", "comparison": null } ] ``` ### benchmarks #### all ##### school ###### size 5784 ###### gpa 3.6736255573368366 ###### top Share 82.68719706118685 ###### count 240.5 ##### ECON ###### size 124 ###### gpa 3.530048734305683 ###### top Share 72.75872115990424 ###### count 357.5 ##### REALEST ###### size 32 ###### gpa 3.669287955739089 ###### top Share 82.5189189822885 ###### count 386 ##### URBRPL ###### size 47 ###### gpa 3.7494611946612655 ###### top Share 88.0700529051742 ###### count 196 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### ECON ###### size 22 ###### gpa 3.0214354917219977 ###### top Share 40.565682901047786 ###### count 81.5 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### ECON ###### size 24 ###### gpa 3.0960407551872513 ###### top Share 46.2650427535755 ###### count 59.5 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### ECON ###### size 23 ###### gpa 3.0919296833361263 ###### top Share 43.929521475736 ###### count 86 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### ECON ###### size 25 ###### gpa 3.073087699389916 ###### top Share 43.15959970605676 ###### count 50 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### ECON ###### size 24 ###### gpa 3.105837139183562 ###### top Share 44.708122686953516 ###### count 78 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### ECON ###### size 24 ###### gpa 3.099801320049821 ###### top Share 46.01712162458005 ###### count 97 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### ECON ###### size 27 ###### gpa 3.1047684954005166 ###### top Share 46.644448387645376 ###### count 65 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### ECON ###### size 26 ###### gpa 3.0962545846673475 ###### top Share 43.96318163657184 ###### count 93 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### ECON ###### size 26 ###### gpa 3.0801797521029894 ###### top Share 44.59121845139345 ###### count 60 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### ECON ###### size 30 ###### gpa 3.1045723943198005 ###### top Share 45.996271584616245 ###### count 77.5 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### ECON ###### size 32 ###### gpa 3.148060317171765 ###### top Share 48.69785590964286 ###### count 75 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### ECON ###### size 24 ###### gpa 3.138562080604336 ###### top Share 49.97311224248656 ###### count 116 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### ECON ###### size 27 ###### gpa 3.084125462905226 ###### top Share 44.16217101765231 ###### count 103 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### ECON ###### size 25 ###### gpa 3.114628747436501 ###### top Share 45.45283598859919 ###### count 109 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### ECON ###### size 27 ###### gpa 3.1348729683774796 ###### top Share 48.51648028641956 ###### count 111 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### ECON ###### size 28 ###### gpa 3.1980885064740128 ###### top Share 51.73890040686708 ###### count 80.5 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### ECON ###### size 33 ###### gpa 3.2344670418039208 ###### top Share 52.7649642628622 ###### count 69 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### ECON ###### size 30 ###### gpa 3.212244027927608 ###### top Share 51.42727757714087 ###### count 77 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### ECON ###### size 32 ###### gpa 3.257120549725447 ###### top Share 55.77705566035788 ###### count 87 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### ECON ###### size 32 ###### gpa 3.2386078353906425 ###### top Share 54.482642655777084 ###### count 83 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### ECON ###### size 34 ###### gpa 3.283515605218873 ###### top Share 56.18377536261731 ###### count 91.5 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### ECON ###### size 31 ###### gpa 3.262762293275924 ###### top Share 56.37213628921166 ###### count 97 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### ECON ###### size 38 ###### gpa 3.2679970257738016 ###### top Share 56.1000441582342 ###### count 84 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### ECON ###### size 33 ###### gpa 3.323005038886213 ###### top Share 59.81252867468931 ###### count 87 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### ECON ###### size 38 ###### gpa 3.2727133601045373 ###### top Share 56.19863891625153 ###### count 85 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### ECON ###### size 33 ###### gpa 3.2532291931353967 ###### top Share 55.37138838007602 ###### count 91 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### ECON ###### size 38 ###### gpa 3.3091483887175275 ###### top Share 57.52333435644998 ###### count 87.5 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### ECON ###### size 33 ###### gpa 3.5818404132725767 ###### top Share 77.38790104739134 ###### count 79 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### ECON ###### size 43 ###### gpa 3.4217856837040865 ###### top Share 67.0762430121588 ###### count 62 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### ECON ###### size 37 ###### gpa 3.4063875168428908 ###### top Share 64.51912969847739 ###### count 79 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### ECON ###### size 37 ###### gpa 3.358824647431352 ###### top Share 62.02356029673636 ###### count 71 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### ECON ###### size 38 ###### gpa 3.3360474441634977 ###### top Share 61.683172425833845 ###### count 68.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### ECON ###### size 36 ###### gpa 3.338494521920077 ###### top Share 61.825472132927935 ###### count 70.5 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### ECON ###### size 44 ###### gpa 3.382488776849895 ###### top Share 64.71357517027587 ###### count 70 ###### REALEST ###### size 13 ###### gpa 3.488539015225787 ###### top Share 70.72937356976098 ###### count 85 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### ECON ###### size 36 ###### gpa 3.386885708485864 ###### top Share 63.919049551615416 ###### count 85.5 ###### REALEST ###### size 15 ###### gpa 3.5774675799670566 ###### top Share 75.64175493354377 ###### count 50 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### ECON ###### size 46 ###### gpa 3.4251846784024935 ###### top Share 66.33912567216377 ###### count 74 ###### REALEST ###### size 13 ###### gpa 3.5824642519384393 ###### top Share 79.13903612379207 ###### count 120 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### ECON ###### size 39 ###### gpa 3.4082741335226703 ###### top Share 66.64551412266185 ###### count 73 ###### REALEST ###### size 14 ###### gpa 3.666900217521707 ###### top Share 82.50522639518604 ###### count 72.5 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### ECON ###### size 40 ###### gpa 3.446407481735755 ###### top Share 68.17148103554868 ###### count 65.5 ###### REALEST ###### size 11 ###### gpa 3.472414253981282 ###### top Share 71.10634299203417 ###### count 129 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### ECON ###### size 37 ###### gpa 3.41582518818968 ###### top Share 66.18686699083136 ###### count 53 ###### REALEST ###### size 10 ###### gpa 3.6564505757519656 ###### top Share 83.19777602692389 ###### count 84.5 ## instructor Trends ```json [ { "uid": "instructor_0459b3c367f20cc16868ed8d", "name": "ALINA AREFEVA", "count": 852, "terms": [ { "term": "1192", "count": 111, "sections": 2, "gpa": 3.3018018018018016 }, { "term": "1202", "count": 155, "sections": 3, "gpa": 3.4612903225806453 }, { "term": "1224", "count": 113, "sections": 3, "gpa": 3.411504424778761 }, { "term": "1234", "count": 145, "sections": 3, "gpa": 3.3275862068965516 }, { "term": "1244", "count": 123, "sections": 3, "gpa": 3.4227642276422765 }, { "term": "1254", "count": 96, "sections": 2, "gpa": 3.5364583333333335 }, { "term": "1264", "count": 109, "sections": 3, "gpa": 3.522935779816514 } ] }, { "uid": "instructor_050c3e202589e9001649742a", "name": "LU HAN", "count": 464, "terms": [ { "term": "1212", "count": 97, "sections": 2, "gpa": 3.422680412371134 }, { "term": "1222", "count": 83, "sections": 2, "gpa": 3.4578313253012047 }, { "term": "1242", "count": 105, "sections": 2, "gpa": 3.4857142857142858 }, { "term": "1252", "count": 98, "sections": 2, "gpa": 3.443877551020408 }, { "term": "1262", "count": 81, "sections": 2, "gpa": 3.4814814814814814 } ] }, { "uid": "instructor_3126184a252046f6ec11ed6f", "name": "YONGHENG DENG", "count": 453, "terms": [ { "term": "1194", "count": 103, "sections": 3, "gpa": 3.3980582524271843 }, { "term": "1204", "count": 58, "sections": 2, "gpa": 3.6379310344827585 }, { "term": "1222", "count": 88, "sections": 2, "gpa": 3.4318181818181817 }, { "term": "1232", "count": 55, "sections": 1, "gpa": 3.5545454545454547 }, { "term": "1242", "count": 57, "sections": 1, "gpa": 3.508771929824561 }, { "term": "1252", "count": 52, "sections": 1, "gpa": 3.5096153846153846 }, { "term": "1262", "count": 40, "sections": 1, "gpa": 3.5875 } ] }, { "uid": "instructor_63cff9bd22402edb8bab2d88", "name": "JAIME LUQUE", "count": 446, "terms": [ { "term": "1132", "count": 46, "sections": 1, "gpa": 3.358695652173913 }, { "term": "1142", "count": 67, "sections": 2, "gpa": 3.388059701492537 }, { "term": "1152", "count": 65, "sections": 2, "gpa": 3.453846153846154 }, { "term": "1162", "count": 83, "sections": 2, "gpa": 3.5240963855421685 }, { "term": "1172", "count": 93, "sections": 2, "gpa": 3.543010752688172 }, { "term": "1182", "count": 92, "sections": 2, "gpa": 3.6467391304347827 } ] }, { "uid": "instructor_272564807a7fed79b4cf50ec", "name": "STEPHEN MALPEZZI", "count": 391, "terms": [ { "term": "1104", "count": 40, "sections": 1, "gpa": 3.3875 }, { "term": "1112", "count": 50, "sections": 1, "gpa": 3.18 }, { "term": "1122", "count": 47, "sections": 1, "gpa": 3.0638297872340425 }, { "term": "1124", "count": 36, "sections": 1, "gpa": 3.2916666666666665 }, { "term": "1134", "count": 43, "sections": 1, "gpa": 3.2093023255813953 }, { "term": "1144", "count": 47, "sections": 1, "gpa": 3.404255319148936 }, { "term": "1154", "count": 44, "sections": 1, "gpa": 3.75 }, { "term": "1164", "count": 84, "sections": 2, "gpa": 3.8154761904761907 } ] }, { "uid": "instructor_c42f61383ccc29c68d73bbad", "name": "SHENGWEI GUO", "count": 391, "terms": [ { "term": "1204", "count": 58, "sections": 2, "gpa": 3.6379310344827585 }, { "term": "1212", "count": 97, "sections": 2, "gpa": 3.422680412371134 }, { "term": "1224", "count": 113, "sections": 3, "gpa": 3.411504424778761 }, { "term": "1244", "count": 123, "sections": 3, "gpa": 3.4227642276422765 } ] }, { "uid": "instructor_20f498b1ccd58df88ce36b74", "name": "MORRIS A. DAVIS", "count": 329, "terms": [ { "term": "1072", "count": 74, "sections": 1, "gpa": 3.2972972972972974 }, { "term": "1074", "count": 38, "sections": 1, "gpa": 3.289473684210526 }, { "term": "1082", "count": 68, "sections": 1, "gpa": 3.3676470588235294 }, { "term": "1084", "count": 40, "sections": 1, "gpa": 3.3375 }, { "term": "1092", "count": 77, "sections": 1, "gpa": 3.051948051948052 }, { "term": "1114", "count": 32, "sections": 1, "gpa": 3.1875 } ] }, { "uid": "instructor_fe9fb3d97daeb4c097669837", "name": "CONGYAN HAN", "count": 270, "terms": [ { "term": "1212", "count": 97, "sections": 2, "gpa": 3.422680412371134 }, { "term": "1222", "count": 83, "sections": 2, "gpa": 3.4578313253012047 }, { "term": "1244", "count": 38, "sections": 1, "gpa": 3.3289473684210527 }, { "term": "1252", "count": 52, "sections": 1, "gpa": 3.5096153846153846 } ] }, { "uid": "instructor_1a933e319d90429ef965bf31", "name": "ZACH BABAT", "count": 244, "terms": [ { "term": "1252", "count": 54, "sections": 1, "gpa": 3.462962962962963 }, { "term": "1262", "count": 81, "sections": 2, "gpa": 3.4814814814814814 }, { "term": "1264", "count": 109, "sections": 3, "gpa": 3.522935779816514 } ] }, { "uid": "instructor_3a32bac5647d48dd38e2d0c3", "name": "NURIDDIN IKROMOV", "count": 244, "terms": [ { "term": "1174", "count": 127, "sections": 3, "gpa": 2.9881889763779528 }, { "term": "1184", "count": 117, "sections": 3, "gpa": 2.9957264957264957 } ] }, { "uid": "instructor_60bfccd722d114171230760d", "name": "YUWEN JI", "count": 193, "terms": [ { "term": "1222", "count": 88, "sections": 2, "gpa": 3.4318181818181817 }, { "term": "1242", "count": 105, "sections": 2, "gpa": 3.4857142857142858 } ] }, { "uid": "instructor_6dfbbc347c8f8466b556cd88", "name": "HEEJIN YOON", "count": 189, "terms": [ { "term": "1232", "count": 55, "sections": 1, "gpa": 3.5545454545454547 }, { "term": "1242", "count": 57, "sections": 1, "gpa": 3.508771929824561 }, { "term": "1252", "count": 37, "sections": 1, "gpa": 3.4594594594594597 }, { "term": "1262", "count": 40, "sections": 1, "gpa": 3.5875 } ] }, { "uid": "instructor_15553022ce73ac718f744e79", "name": "DENA LOMONOSOV", "count": 154, "terms": [ { "term": "1232", "count": 53, "sections": 1, "gpa": 3.490566037735849 }, { "term": "1234", "count": 12, "sections": 1, "gpa": 3.2916666666666665 }, { "term": "1254", "count": 46, "sections": 1, "gpa": 3.619565217391304 }, { "term": "1264", "count": 43, "sections": 1, "gpa": 3.5348837209302326 } ] }, { "uid": "instructor_c17da8d3f0884aea3e12929a", "name": "JOSEPH WALSH", "count": 132, "terms": [ { "term": "1094", "count": 36, "sections": 1, "gpa": 3.4444444444444446 }, { "term": "1232", "count": 57, "sections": 1, "gpa": 3.3771929824561404 }, { "term": "1262", "count": 39, "sections": 1, "gpa": 3.5384615384615383 } ] }, { "uid": "instructor_2ec9579d7217b439536a6c91", "name": "AILEY FANG", "count": 109, "terms": [ { "term": "1264", "count": 109, "sections": 3, "gpa": 3.522935779816514 } ] }, { "uid": "instructor_7afc2cf9874287c263dda9d5", "name": "ABDULLAH YAVAS", "count": 74, "terms": [ { "term": "1102", "count": 74, "sections": 1, "gpa": 3.0337837837837838 } ] }, { "uid": "instructor_733d59ed19a0dcc025cabef3", "name": "DA LI", "count": 54, "terms": [ { "term": "1212", "count": 54, "sections": 1, "gpa": 3.287037037037037 } ] }, { "uid": "instructor_919b9d4993c8b8b975988232", "name": "ASAD KHAN", "count": 54, "terms": [ { "term": "1212", "count": 54, "sections": 1, "gpa": 3.287037037037037 } ] }, { "uid": "instructor_e15e1a245191e94e0325d0f0", "name": "JUN ZHU", "count": 50, "terms": [ { "term": "1112", "count": 50, "sections": 1, "gpa": 3.18 } ] }, { "uid": "instructor_0ada67a65f66cde538870a35", "name": "MARY HANCOCK", "count": 43, "terms": [ { "term": "1264", "count": 43, "sections": 1, "gpa": 3.5348837209302326 } ] }, { "uid": "instructor_2255a98d377dcbf609581251", "name": "MARK EPPLI", "count": 38, "terms": [ { "term": "1204", "count": 38, "sections": 1, "gpa": 3.526315789473684 } ] } ] ``` ## following | code | title | | ----------- | --------------- | | REALEST 425 | REAL ESTATE LAW | ## projection ### target 1272 ### interval #### lower 3.25 #### upper 3.73 #### coverage 80 #### terms 8 ### gpa 3.4861368705871736 ### grades | grade | percentage | | ----- | ------------------ | | A | 36.48855347664615 | | AB | 34.728981991869176 | | B | 20.742185232235304 | | BC | 6.8545894711895565 | | C | 0.8725034029553868 | | D | 0 | | F | 0.3131864251044193 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 845 ### same Season true ### historical Range * 3.444444444444444 * 3.521875 ### backtest #### terms 8 #### gpa Error 0.06768059412084038 #### mix Error 10.575447256970847