# ECON 410: Introductory Econometrics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ECON_410) ## 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 dbfb3a69fe5d04dd81372b7fb3789caf233e6d38c9e5e6619737733d6f5ba9b2 ### course id ECON 410 ### course uid course\_45144ea1ab61fccd3dc0a3f6 ### catalog version id 7259c5a8f6798f4359c6698d323de8c33644bbcfbc7830d44e0e21479ebee9c3 ### course number 410 ### subjects * ECON ### title INTRODUCTORY ECONOMETRICS ### description Statistical methods used in applied economic research. Topics include: survey methods and data sources; multiple regression and analysis of variance; econometric estimation; forecasting and policy applications. ### requirements text ECON 310and (MATH 217 or221). Not open to students with credit forECON 400 ### credits min 4 ### credits max 4 ### credit offering ids * 1272:296:005602 ### llm job id enrich-ecd149b6a6e0877fce2f3d1c ### llm output id 0e1e09aaa47e036a63a1acec908303213b819a0673af22ce9b854bba7049cb63 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introductory Econometrics covers statistical methods for applied economic research, including regression, ANOVA, and forecasting. ### llm topics * Survey methods and data sources * Multiple regression and analysis of variance * Econometric estimation * Forecasting and policy applications ### llm skills * Statistical methods for economic research * Survey methods and data sourcing * Multiple regression and ANOVA * Econometric estimation * Forecasting and policy applications ### llm assumed background * Foundational statistics and data analysis for economics * Calculus background ### llm search phrases * econometrics applied research * multiple regression analysis * econometric estimation * forecasting policy applications * survey methods data sources ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 8ddef2275ed7efd0e68eb56d30a843ec5b7ecc76ec7cc0cb2d773582a81947c4 #### course id ECON 410 #### current instructors ```json [ { "instructor_uid": "instructor_1d09f32e822b8fd4b42a52b1", "message": null, "name": "Kohei Yata", "review_status": "supported", "rmp_instructor_id": "rmp:2834113", "summary": [ { "citations": [ { "instructor_name": "Kohei Yata", "review_date": "2022-10-24 21:18:03 +0000 UTC", "review_id": "ab86014ba6b557aff61644ab", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2834113", "source_review_id": "UmF0aW5nLTM2NzMxNDY0", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "type": "review" }, { "instructor_name": "Kohei Yata", "review_date": "2025-02-13 16:09:02 +0000 UTC", "review_id": "2c3c909c6a6b51c822194c4d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2834113", "source_review_id": "UmF0aW5nLTQwNjY5MDM3", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "type": "review" }, { "instructor_name": "Kohei Yata", "review_date": "2025-12-21 16:41:12 +0000 UTC", "review_id": "5225c6836066e83ea5859d1d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2834113", "source_review_id": "UmF0aW5nLTQyMzY3NzUx", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "type": "review" }, { "instructor_name": "Kohei Yata", "review_date": "2026-03-18 01:04:53 +0000 UTC", "review_id": "e9806b372cae527834e43e22", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2834113", "source_review_id": "UmF0aW5nLTQyNzA5Mzkw", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "type": "review" } ], "text": "Kohei Yata is criticized for confusing, slide-reading lectures and a strong accent that hinders engagement. Reviewers report that his teaching style makes concepts difficult to understand, with one student claiming he lacked material knowledge." }, { "citations": [ { "instructor_name": "Kohei Yata", "review_date": "2022-12-30 01:51:07 +0000 UTC", "review_id": "614f42584a61364aaaabec4c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2834113", "source_review_id": "UmF0aW5nLTM3MjYyMDM2", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "type": "review" }, { "instructor_name": "Kohei Yata", "review_date": "2023-01-28 00:28:35 +0000 UTC", "review_id": "f6736fd4cf6bbe505fb84ab7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2834113", "source_review_id": "UmF0aW5nLTM3Mzg2Nzk5", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "type": "review" }, { "instructor_name": "Kohei Yata", "review_date": "2024-12-23 12:45:00 +0000 UTC", "review_id": "0a6c2893fa24ab77ee8f1e04", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2834113", "source_review_id": "UmF0aW5nLTQwNDIyNDQ0", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "type": "review" } ], "text": "Kohei Yata provides helpful slides and practice exams that closely mirror tests, making the material predictable. Students appreciate his inclusion of modern research and accessibility, though some find lectures dry." }, { "citations": [ { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.25 GPA, 52.0% A/AB (n=75 letter grades); Fall 2024: 3.33 GPA, 57.8% A/AB (n=83 letter grades); Fall 2025: 3.34 GPA, 54.9% A/AB (n=91 letter grades)." } ] } ] ``` #### difficulty workload Some students find Yata's lectures confusing and recommend skipping them to study independently using textbooks and past papers. ```json { "citations": [ { "instructor_name": "Kohei Yata", "review_date": "2025-02-13 16:09:02 +0000 UTC", "review_id": "2c3c909c6a6b51c822194c4d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2834113", "source_review_id": "UmF0aW5nLTQwNjY5MDM3", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "type": "review" }, { "instructor_name": "Kohei Yata", "review_date": "2025-12-21 16:41:12 +0000 UTC", "review_id": "5225c6836066e83ea5859d1d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2834113", "source_review_id": "UmF0aW5nLTQyMzY3NzUx", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "type": "review" }, { "instructor_name": "Kohei Yata", "review_date": "2026-03-18 01:04:53 +0000 UTC", "review_id": "e9806b372cae527834e43e22", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2834113", "source_review_id": "UmF0aW5nLTQyNzA5Mzkw", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Jean-Francois Houde and Christopher Taber show mixed results, with some finding lectures vague or unhelpful while others appreciated clear explanations. Christopher McKelvey and Mikkel Soelvsten are frequently cited as engaging and helpful, though their fast-paced lectures require students to review slides and textbooks in advance to keep up with the difficult material. ```json { "citations": [ { "instructor_name": "Jean-Francois Houde", "review_date": "2008-12-03 18:09:57 +0000 UTC", "review_id": "9e1d9cb953353bedcee3bb9f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1184265", "source_review_id": "UmF0aW5nLTE1MDk3MDc3", "source_url": "https://www.ratemyprofessors.com/professor/1184265", "type": "review" }, { "instructor_name": "Jean-Francois Houde", "review_date": "2008-12-18 23:43:51 +0000 UTC", "review_id": "8ea84fa67eaebe8886705483", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1184265", "source_review_id": "UmF0aW5nLTE1MjM5MjU0", "source_url": "https://www.ratemyprofessors.com/professor/1184265", "type": "review" }, { "instructor_name": "Christopher Taber", "review_date": "2010-08-11 17:35:40 +0000 UTC", "review_id": "25e219a2db1b8f35acedb2b0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1441741", "source_review_id": "UmF0aW5nLTE3NTAyMzI4", "source_url": "https://www.ratemyprofessors.com/professor/1441741", "type": "review" }, { "instructor_name": "Christopher Taber", "review_date": "2011-05-08 14:22:44 +0000 UTC", "review_id": "239f1af49bbcd8e0965cc554", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1441741", "source_review_id": "UmF0aW5nLTE4NTUyOTgz", "source_url": "https://www.ratemyprofessors.com/professor/1441741", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2011-12-21 16:40:00 +0000 UTC", "review_id": "a2e892fe50c8a2dca5dd9e99", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTE5NTk1NjIx", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Xiaoxia Shi", "review_date": "2016-12-13 00:03:02 +0000 UTC", "review_id": "6dd4133edb600c2be530f331", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2210435", "source_review_id": "UmF0aW5nLTI3NDU5NjE0", "source_url": "https://www.ratemyprofessors.com/professor/2210435", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2017-12-31 09:47:35 +0000 UTC", "review_id": "4c2016f01ce9722fced3b939", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTI5MzYzNzIw", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Mikkel Soelvsten", "review_date": "2018-11-13 23:43:44 +0000 UTC", "review_id": "04531965316f73152e7053ad", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2406161", "source_review_id": "UmF0aW5nLTMwNzE5NzE5", "source_url": "https://www.ratemyprofessors.com/professor/2406161", "type": "review" }, { "instructor_name": "Gregory Pac", "review_date": "2020-12-18 20:18:41 +0000 UTC", "review_id": "5754a791d9bc5c349170ea70", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2583756", "source_review_id": "UmF0aW5nLTM0MTM5NjM3", "source_url": "https://www.ratemyprofessors.com/professor/2583756", "type": "review" }, { "instructor_name": "Mikkel Soelvsten", "review_date": "2021-12-19 18:45:01 +0000 UTC", "review_id": "61bbec5be91eb1ef69a0d60b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2406161", "source_review_id": "UmF0aW5nLTM1NTk3ODY1", "source_url": "https://www.ratemyprofessors.com/professor/2406161", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Kohei Yata provides helpful slides and predictable exams that prepare students well, though some find his lectures boring. ```json { "citations": [ { "instructor_name": "Kohei Yata", "review_date": "2022-12-30 01:51:07 +0000 UTC", "review_id": "614f42584a61364aaaabec4c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2834113", "source_review_id": "UmF0aW5nLTM3MjYyMDM2", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "type": "review" }, { "instructor_name": "Kohei Yata", "review_date": "2023-01-28 00:28:35 +0000 UTC", "review_id": "f6736fd4cf6bbe505fb84ab7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2834113", "source_review_id": "UmF0aW5nLTM3Mzg2Nzk5", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "type": "review" }, { "instructor_name": "Kohei Yata", "review_date": "2024-12-23 12:45:00 +0000 UTC", "review_id": "0a6c2893fa24ab77ee8f1e04", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2834113", "source_review_id": "UmF0aW5nLTQwNDIyNDQ0", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.05 GPA, 45.7% A/AB (n=94 letter grades); Fall 2025: 3.34 GPA, 54.9% A/AB (n=91 letter grades); Spring 2026: 3.05 GPA, 45.5% A/AB (n=88 letter grades). ```json { "citations": [ { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Reviewers note Yata is accessible during office hours and knowledgeable, answering questions beyond the course scope. ```json { "citations": [ { "instructor_name": "Kohei Yata", "review_date": "2023-01-28 00:28:35 +0000 UTC", "review_id": "f6736fd4cf6bbe505fb84ab7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2834113", "source_review_id": "UmF0aW5nLTM3Mzg2Nzk5", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "type": "review" }, { "instructor_name": "Kohei Yata", "review_date": "2024-12-23 12:45:00 +0000 UTC", "review_id": "0a6c2893fa24ab77ee8f1e04", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2834113", "source_review_id": "UmF0aW5nLTQwNDIyNDQ0", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history CHRISTOPHER MCKELVEY is recorded teaching in Fall 2011, Spring 2012, Spring 2013, Fall 2013, Spring 2015, Fall 2015, Spring 2016, Fall 2017, Fall 2019, Spring 2020, Fall 2020, Spring 2022, Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1124", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` CHRISTOPHER R TABER is recorded teaching in Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2014. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1084", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1094", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1114", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" } ] } ``` JEAN-FRANCOIS HOUDE is recorded teaching in Fall 2007, Fall 2008, Fall 2009. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1082", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" } ] } ``` KOHEI YATA is recorded teaching in 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 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` MIKKEL SOELVSTEN is recorded teaching in Fall 2018, Fall 2021. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" } ] } ``` XIAOXIA SHI is recorded teaching in Fall 2010, Spring 2012, Fall 2012, Fall 2013, Fall 2016. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1124", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "ECON 410", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "source_record": { "entity_id": "4af9b370-7f8a-37bc-a969-a17a598cf21f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "ECON 310and (MATH 217 or221). Not open to students with credit forECON 400", "id": "n0", "kind": "all" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "ECON 310and (MATH 217 or221)", "id": "n1", "kind": "all" }, { "children": [ "n7" ], "condition": null, "course": null, "evidence": "Not open to students with credit forECON 400", "id": "n2", "kind": "not" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "ECON" ], "timing": "prior" }, "evidence": "ECON 310", "id": "n3", "kind": "course" }, { "children": [ "n5", "n6" ], "condition": null, "course": null, "evidence": "MATH 217 or221", "id": "n4", "kind": "any" }, { "children": [], "condition": "MATH 217", "course": null, "evidence": "MATH 217", "id": "n5", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 221, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "or221", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 400, "minimum_grade": null, "subjects": [ "ECON" ], "timing": "prior" }, "evidence": "credit forECON 400", "id": "n7", "kind": "course" } ] ``` #### notes * MATH 217 is mentioned in requirements\_text but not in linked\_courses; treated as verbatim condition leaf requiring review. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_e872baeabf9c44538dd38736", "source": "enrollment", "source_instructor_id": "fukuda4", "identity_basis": "netid", "identity_status": "source_identified", "name": "Kenta Fukuda", "email": "FUKUDA4@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/KENTA_FUKUDA" }, { "instructor_uid": "instructor_1d09f32e822b8fd4b42a52b1", "source": "enrollment", "source_instructor_id": "yata", "identity_basis": "netid", "identity_status": "source_identified", "name": "Kohei Yata", "email": "YATA@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": 7, "quality": 2.43, "difficulty": 2.71, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:2834113", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "match_basis": "exact_name", "observed_at": "2026-09-07 16:25:39.804872+00:00", "courses": { "course_45144ea1ab61fccd3dc0a3f6": { "review_count": 7, "quality": 2.43, "difficulty": 2.71, "quality_count": 7, "difficulty_count": 7 } }, "bayesian_quality": 3.3408783581826635, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/KOHEI_YATA" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:296:005602", "course_id": "ECON 410", "course_uid": "course_45144ea1ab61fccd3dc0a3f6", "term_id": "1272", "source_course_id": "005602", "source_subject_id": "296", "title": "Introductory Econometrics", "credits_min": 4, "credits_max": 4, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:12946", "term_id": "1272", "source_section_id": "12946", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 96, "enrolled": 92, "waitlisted": 11, "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:1272:17391", "term_id": "1272", "source_section_id": "17391", "identity_basis": "class_number", "section_number": "302", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 22, "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:1272:18849", "term_id": "1272", "source_section_id": "18849", "identity_basis": "class_number", "section_number": "303", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 24, "waitlisted": 7, "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:1272:19635", "term_id": "1272", "source_section_id": "19635", "identity_basis": "class_number", "section_number": "301", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 23, "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:1272:19636", "term_id": "1272", "source_section_id": "19636", "identity_basis": "class_number", "section_number": "304", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 23, "waitlisted": 2, "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_d4def4389d701bcd0254798a", "source": "madgrades", "source_instructor_id": "3495997", "identity_basis": "source_id", "identity_status": "source_identified", "name": "FRANCESCA RONDINA", "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": 2.965, "graded": 43, "counts": [ 10, 8, 9, 9, 4, 2, 1 ], "sections": 1 }, "instructor_url": "/instructors/FRANCESCA_RONDINA--instructor_d4def4389d701bcd0254798a" }, { "instructor_uid": "instructor_eb955630f83768cd1e516946", "source": "madgrades", "source_instructor_id": "972790", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JACK PORTER", "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": 15, "quality": 3.4, "difficulty": 3.53, "quality_count": 15, "difficulty_count": 15, "profile_id": "rmp:1630460", "source_url": "https://www.ratemyprofessors.com/professor/1630460", "match_basis": "exact_name", "observed_at": "2026-09-07 16:35:20.657291+00:00", "courses": { "course_78b5772073262a6a36ea493d": { "review_count": 3, "quality": 5, "difficulty": 2.33, "quality_count": 3, "difficulty_count": 3 }, "course_e104fb600738e5af6d58c4dd": { "review_count": 5, "quality": 3.4, "difficulty": 3.8, "quality_count": 5, "difficulty_count": 5 } }, "bayesian_quality": 3.54839187631234, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.439, "graded": 3002, "counts": [ 1044, 893, 856, 137, 51, 11, 10 ], "sections": 68 }, "instructor_url": "/instructors/JACK_PORTER--instructor_eb955630f83768cd1e516946" }, { "instructor_uid": "instructor_03c6bea7bd478e450c235e45", "source": "madgrades", "source_instructor_id": "4189627", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JEAN-FRANCOIS HOUDE", "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": 6, "quality": 2.33, "difficulty": 3.67, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:1184265", "source_url": "https://www.ratemyprofessors.com/professor/1184265", "match_basis": "exact_name", "observed_at": "2026-09-07 16:33:53.412913+00:00", "courses": { "course_12749130806ccc7c8b7979e8": { "review_count": 1, "quality": 1, "difficulty": 1, "quality_count": 1, "difficulty_count": 1 }, "course_70d17d1d3875548d1489cae7": { "review_count": 2, "quality": 2, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 }, "course_45144ea1ab61fccd3dc0a3f6": { "review_count": 3, "quality": 3, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.352835218112766, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.505, "graded": 1027, "counts": [ 589, 167, 127, 70, 43, 17, 14 ], "sections": 47 }, "instructor_url": "/instructors/JEAN-FRANCOIS_HOUDE--instructor_03c6bea7bd478e450c235e45" }, { "instructor_uid": "instructor_343128aad2a65368eb487903", "source": "madgrades", "source_instructor_id": "3634827", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SEUNG GYU SIM", "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": 2.978, "graded": 134, "counts": [ 27, 26, 35, 24, 15, 5, 2 ], "sections": 2 }, "instructor_url": "/instructors/SEUNG_GYU_SIM" }, { "instructor_uid": "instructor_8277f67cd0e39569d7c99c83", "source": "madgrades", "source_instructor_id": "4395486", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHRISTOPHER R TABER", "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": 3.492, "graded": 1855, "counts": [ 911, 465, 237, 125, 78, 27, 12 ], "sections": 59 }, "instructor_url": "/instructors/CHRISTOPHER_R_TABER--instructor_8277f67cd0e39569d7c99c83" }, { "instructor_uid": "instructor_99ae0cffe810678dcb712206", "source": "madgrades", "source_instructor_id": "3979885", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XIAOXIA SHI", "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": 3, "quality": 3.33, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2210435", "source_url": "https://www.ratemyprofessors.com/professor/2210435", "match_basis": "exact_name", "observed_at": "2026-09-07 15:58:33.638348+00:00", "courses": { "course_9fae615fe1db13e19e61a961": { "review_count": 2, "quality": 4.5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2 }, "course_45144ea1ab61fccd3dc0a3f6": { "review_count": 1, "quality": 1, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.6166832900405175, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.436, "graded": 1614, "counts": [ 609, 410, 493, 52, 26, 13, 11 ], "sections": 45 }, "instructor_url": "/instructors/XIAOXIA_SHI--instructor_99ae0cffe810678dcb712206" }, { "instructor_uid": "instructor_b3bf5868b2d966580562efb8", "source": "madgrades", "source_instructor_id": "4916562", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHRISTOPHER MCKELVEY", "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": 92, "quality": 4.66, "difficulty": 3.33, "quality_count": 92, "difficulty_count": 92, "profile_id": "rmp:1632497", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "match_basis": "exact_name", "observed_at": "2026-09-07 16:48:15.480044+00:00", "courses": { "course_67164e31bc510b3170f584a8": { "review_count": 12, "quality": 5, "difficulty": 3.58, "quality_count": 12, "difficulty_count": 12 }, "course_45144ea1ab61fccd3dc0a3f6": { "review_count": 22, "quality": 4.68, "difficulty": 3.64, "quality_count": 22, "difficulty_count": 22 }, "course_e104fb600738e5af6d58c4dd": { "review_count": 36, "quality": 4.81, "difficulty": 3.28, "quality_count": 36, "difficulty_count": 36 }, "course_c1d62f93b6bc2a4cab189b27": { "review_count": 10, "quality": 4.8, "difficulty": 2.1, "quality_count": 10, "difficulty_count": 10 } }, "bayesian_quality": 4.481372461347607, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.009, "graded": 5940, "counts": [ 1341, 1207, 1193, 1143, 856, 138, 62 ], "sections": 59 }, "instructor_url": "/instructors/CHRISTOPHER_MCKELVEY--instructor_b3bf5868b2d966580562efb8" }, { "instructor_uid": "instructor_65a11f92dfaed13a443e77cc", "source": "madgrades", "source_instructor_id": "5286061", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HANS FREYBERGER", "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": 3.253, "graded": 827, "counts": [ 260, 194, 197, 110, 47, 11, 8 ], "sections": 16 }, "instructor_url": "/instructors/HANS_FREYBERGER--instructor_65a11f92dfaed13a443e77cc" }, { "instructor_uid": "instructor_b0ac6839b2e804ee7fc451be", "source": "madgrades", "source_instructor_id": "6034077", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MIKKEL SOELVSTEN", "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": 3, "quality": 4.33, "difficulty": 4, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2406161", "source_url": "https://www.ratemyprofessors.com/professor/2406161", "match_basis": "exact_name", "observed_at": "2026-09-07 16:17:01.054949+00:00", "courses": { "course_45144ea1ab61fccd3dc0a3f6": { "review_count": 3, "quality": 4.33, "difficulty": 4, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.7471180726492133, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.37, "graded": 386, "counts": [ 143, 101, 87, 31, 14, 9, 1 ], "sections": 12 }, "instructor_url": "/instructors/MIKKEL_SOELVSTEN" }, { "instructor_uid": "instructor_20a7f2a16d282afa8f5ec3b5", "source": "madgrades", "source_instructor_id": "6489241", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KOHEI YATA", "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": 2.43, "difficulty": 2.71, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:2834113", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "match_basis": "exact_name", "observed_at": "2026-09-07 16:25:39.804872+00:00", "courses": { "course_45144ea1ab61fccd3dc0a3f6": { "review_count": 7, "quality": 2.43, "difficulty": 2.71, "quality_count": 7, "difficulty_count": 7 } }, "bayesian_quality": 3.3408783581826635, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.418, "graded": 678, "counts": [ 251, 187, 163, 56, 14, 2, 5 ], "sections": 13 }, "instructor_url": "/instructors/KOHEI_YATA--instructor_20a7f2a16d282afa8f5ec3b5" }, { "instructor_uid": "instructor_1d09f32e822b8fd4b42a52b1", "source": "enrollment", "source_instructor_id": "yata", "identity_basis": "netid", "identity_status": "source_identified", "name": "Kohei Yata", "email": "YATA@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": 7, "quality": 2.43, "difficulty": 2.71, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:2834113", "source_url": "https://www.ratemyprofessors.com/professor/2834113", "match_basis": "exact_name", "observed_at": "2026-09-07 16:25:39.804872+00:00", "courses": { "course_45144ea1ab61fccd3dc0a3f6": { "review_count": 7, "quality": 2.43, "difficulty": 2.71, "quality_count": 7, "difficulty_count": 7 } }, "bayesian_quality": 3.3408783581826635, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/KOHEI_YATA" }, { "instructor_uid": "instructor_e872baeabf9c44538dd38736", "source": "enrollment", "source_instructor_id": "fukuda4", "identity_basis": "netid", "identity_status": "source_identified", "name": "Kenta Fukuda", "email": "FUKUDA4@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/KENTA_FUKUDA" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 410", "course_uid": "course_45144ea1ab61fccd3dc0a3f6", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "FRANCESCA RONDINA" ], "a": 10, "ab": 8, "b": 9, "bc": 9, "c": 4, "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": 43, "source_aliases": [ "ECON 410" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 410", "course_uid": "course_45144ea1ab61fccd3dc0a3f6", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "Jack Porter" ], "a": 6, "ab": 10, "b": 9, "bc": 9, "c": 3, "d": 3, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 42, "source_aliases": [ "ECON 410" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 410", "course_uid": "course_45144ea1ab61fccd3dc0a3f6", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "Jean-Francois Houde" ], "a": 6, "ab": 5, "b": 13, "bc": 10, "c": 4, "d": 6, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, 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0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 94, "source_aliases": [ "ECON 410" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 410", "course_uid": "course_45144ea1ab61fccd3dc0a3f6", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Kohei Yata" ], "a": 32, "ab": 18, "b": 23, "bc": 15, "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": 91, "source_aliases": [ "ECON 410" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 410", "course_uid": "course_45144ea1ab61fccd3dc0a3f6", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Christopher Mckelvey" ], "a": 23, "ab": 17, "b": 17, "bc": 19, "c": 7, "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": 88, "source_aliases": [ "ECON 410" ] } ] ``` ### statistics #### gpa 3.049 #### graded 3769 #### counts * 888 * 821 * 843 * 674 * 373 * 107 * 63 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_45144ea1ab61fccd3dc0a3f6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_45144ea1ab61fccd3dc0a3f6-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_45144ea1ab61fccd3dc0a3f6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_45144ea1ab61fccd3dc0a3f6-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_45144ea1ab61fccd3dc0a3f6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_45144ea1ab61fccd3dc0a3f6-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_45144ea1ab61fccd3dc0a3f6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_45144ea1ab61fccd3dc0a3f6-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_45144ea1ab61fccd3dc0a3f6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_45144ea1ab61fccd3dc0a3f6-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.049217299018307 #### count 3769 #### university ##### size 5784 ##### gpa Percentile 3 ##### 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 | true | | 3.2–3.6 | 1576 | false | | 3.6–4.0 | 3833 | false | #### departments ```json [ { "subject": "ECON", "comparison": { "size": 124, "gpaPercentile": 10, "countPercentile": 93, "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": true }, { "range": "3.2–3.6", "count": 49, "current": false }, { "range": "3.6–4.0", "count": 54, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 2.9651162790697674 ##### count 43 ##### university ###### size 723 ###### gpa Percentile 16 ###### count Percentile 27 ###### 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 | true | | 3.2–3.6 | 306 | false | | 3.6–4.0 | 180 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 22, "gpaPercentile": 43, "countPercentile": 19, "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": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1074 ##### term 1074 ##### gpa 2.7976190476190474 ##### count 42 ##### university ###### size 695 ###### gpa Percentile 8 ###### count Percentile 22 ###### 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 | true | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | false | | 3.6–4.0 | 199 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 24, "gpaPercentile": 9, "countPercentile": 30, "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": true }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1082 ##### term 1082 ##### gpa 2.6555555555555554 ##### count 45 ##### university ###### size 723 ###### gpa Percentile 2 ###### count Percentile 26 ###### 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 | true | | 2.8–3.2 | 202 | false | | 3.2–3.6 | 265 | false | | 3.6–4.0 | 204 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 23, "gpaPercentile": 0, "countPercentile": 27, "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": true }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 2.840909090909091 ##### count 44 ##### university ###### size 720 ###### gpa Percentile 8 ###### count Percentile 26 ###### 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 | true | | 3.2–3.6 | 248 | false | | 3.6–4.0 | 217 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 25, "gpaPercentile": 17, "countPercentile": 33, "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": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1092 ##### term 1092 ##### gpa 2.990566037735849 ##### count 53 ##### university ###### size 732 ###### gpa Percentile 15 ###### count Percentile 34 ###### 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": 35, "countPercentile": 30, "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 } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 2.9080459770114944 ##### count 87 ##### university ###### size 758 ###### gpa Percentile 10 ###### count Percentile 62 ###### 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 | true | | 3.2–3.6 | 259 | false | | 3.6–4.0 | 236 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 24, "gpaPercentile": 30, "countPercentile": 48, "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": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 2.980769230769231 ##### count 52 ##### university ###### size 774 ###### gpa Percentile 17 ###### count Percentile 38 ###### 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": 35, "countPercentile": 38, "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 } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 2.9344262295081966 ##### count 61 ##### university ###### size 793 ###### gpa Percentile 13 ###### count Percentile 47 ###### 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 | true | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 26, "gpaPercentile": 32, "countPercentile": 44, "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": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 3.0185185185185186 ##### count 54 ##### university ###### size 805 ###### gpa Percentile 18 ###### count Percentile 38 ###### 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": 52, "countPercentile": 36, "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 } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 2.914285714285714 ##### count 105 ##### university ###### size 804 ###### gpa Percentile 12 ###### count Percentile 70 ###### 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": 24, "countPercentile": 55, "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 } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 2.956730769230769 ##### count 104 ##### university ###### size 804 ###### gpa Percentile 14 ###### count Percentile 70 ###### 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": 35, "countPercentile": 55, "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 } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 2.956896551724138 ##### count 116 ##### university ###### size 821 ###### gpa Percentile 14 ###### count Percentile 75 ###### 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 | true | | 3.2–3.6 | 278 | false | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 24, "gpaPercentile": 22, "countPercentile": 48, "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": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.027173913043478 ##### count 92 ##### university ###### size 851 ###### gpa Percentile 16 ###### count Percentile 65 ###### 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 | true | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 27, "gpaPercentile": 42, "countPercentile": 46, "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": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3 ##### count 109 ##### university ###### size 852 ###### gpa Percentile 14 ###### count Percentile 73 ###### 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 | true | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 25, "gpaPercentile": 25, "countPercentile": 50, "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": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.0754716981132075 ##### count 159 ##### university ###### size 853 ###### gpa Percentile 21 ###### count Percentile 84 ###### 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 | true | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 27, "gpaPercentile": 50, "countPercentile": 69, "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": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.0934065934065935 ##### count 91 ##### university ###### size 878 ###### gpa Percentile 21 ###### count Percentile 66 ###### 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 | true | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 28, "gpaPercentile": 48, "countPercentile": 52, "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": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.038793103448276 ##### count 116 ##### university ###### size 918 ###### gpa Percentile 16 ###### count Percentile 74 ###### 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 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 33, "gpaPercentile": 25, "countPercentile": 66, "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": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.0194805194805197 ##### count 154 ##### university ###### size 935 ###### gpa Percentile 15 ###### count Percentile 86 ###### 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 | true | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 30, "gpaPercentile": 17, "countPercentile": 72, "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": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 2.9339622641509435 ##### count 106 ##### university ###### size 954 ###### gpa Percentile 8 ###### count Percentile 72 ###### 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 | true | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 32, "gpaPercentile": 16, "countPercentile": 61, "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": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 2.953125 ##### count 160 ##### university ###### size 965 ###### gpa Percentile 9 ###### count Percentile 85 ###### 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 | true | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 32, "gpaPercentile": 16, "countPercentile": 74, "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": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.0865384615384617 ##### count 104 ##### university ###### size 991 ###### gpa Percentile 17 ###### 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 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | true | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 34, "gpaPercentile": 33, "countPercentile": 61, "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": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.0962732919254656 ##### count 161 ##### university ###### size 955 ###### gpa Percentile 18 ###### count Percentile 84 ###### 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": 37, "countPercentile": 73, "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 } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.021875 ##### count 160 ##### university ###### size 1025 ###### gpa Percentile 12 ###### count Percentile 84 ###### 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 | true | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 38, "gpaPercentile": 24, "countPercentile": 76, "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": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.183734939759036 ##### count 166 ##### university ###### size 1010 ###### gpa Percentile 22 ###### count Percentile 86 ###### 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": 31, "countPercentile": 72, "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 } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 2.9278350515463916 ##### count 97 ##### university ###### size 1077 ###### gpa Percentile 5 ###### 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 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | true | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 38, "gpaPercentile": 3, "countPercentile": 65, "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": true }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.1651785714285716 ##### count 112 ##### university ###### size 1040 ###### gpa Percentile 21 ###### count Percentile 73 ###### 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 | true | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 33, "gpaPercentile": 38, "countPercentile": 72, "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": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 2.9954545454545456 ##### count 110 ##### university ###### size 1102 ###### gpa Percentile 6 ###### count Percentile 71 ###### 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 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 38, "gpaPercentile": 5, "countPercentile": 68, "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": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.36 ##### count 75 ##### university ###### size 1012 ###### gpa Percentile 9 ###### count Percentile 57 ###### 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": 9, "countPercentile": 44, "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 } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.037313432835821 ##### count 134 ##### university ###### size 1111 ###### gpa Percentile 6 ###### count Percentile 76 ###### 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 | true | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 43, "gpaPercentile": 5, "countPercentile": 79, "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": true }, { "range": "3.2–3.6", "count": 21, "current": false }, { "range": "3.6–4.0", "count": 12, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.3258426966292136 ##### count 89 ##### university ###### size 1157 ###### gpa Percentile 24 ###### count Percentile 61 ###### 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": 39, "countPercentile": 64, "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 } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.042105263157895 ##### count 95 ##### university ###### size 1171 ###### gpa Percentile 9 ###### count Percentile 67 ###### 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 | true | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 37, "gpaPercentile": 14, "countPercentile": 69, "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": true }, { "range": "3.2–3.6", "count": 15, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.1 ##### count 90 ##### university ###### size 1216 ###### gpa Percentile 10 ###### count Percentile 61 ###### 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 | true | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 38, "gpaPercentile": 24, "countPercentile": 65, "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": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.0441176470588234 ##### count 68 ##### university ###### size 1188 ###### gpa Percentile 8 ###### count Percentile 52 ###### 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 | true | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 36, "gpaPercentile": 23, "countPercentile": 46, "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": true }, { "range": "3.2–3.6", "count": 15, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.2533333333333334 ##### count 75 ##### university ###### size 1295 ###### gpa Percentile 17 ###### 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 | 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": 37, "countPercentile": 53, "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 } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.017857142857143 ##### count 84 ##### university ###### size 1241 ###### gpa Percentile 5 ###### count Percentile 61 ###### 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 | true | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 36, "gpaPercentile": 9, "countPercentile": 49, "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": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.325301204819277 ##### count 83 ##### university ###### size 1333 ###### gpa Percentile 16 ###### count Percentile 58 ###### 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": 36, "countPercentile": 58, "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 } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.047872340425532 ##### count 94 ##### university ###### size 1289 ###### gpa Percentile 6 ###### count Percentile 67 ###### 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 | true | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 39, "gpaPercentile": 8, "countPercentile": 71, "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": true }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.3351648351648353 ##### count 91 ##### university ###### size 1320 ###### gpa Percentile 18 ###### count Percentile 61 ###### 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": 33, "countPercentile": 62, "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 } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.0454545454545454 ##### count 88 ##### university ###### size 1283 ###### gpa Percentile 6 ###### count Percentile 63 ###### 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 | true | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 37, "gpaPercentile": 6, "countPercentile": 67, "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": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` ### 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 #### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ## instructor Trends ```json [ { "uid": "instructor_b3bf5868b2d966580562efb8", "name": "CHRISTOPHER MCKELVEY", "count": 1716, "terms": [ { "term": "1122", "count": 104, "sections": 1, "gpa": 2.956730769230769 }, { "term": "1124", "count": 68, "sections": 1, "gpa": 2.9044117647058822 }, { "term": "1134", "count": 109, "sections": 1, "gpa": 3 }, { "term": "1142", "count": 107, "sections": 1, "gpa": 2.94392523364486 }, { "term": "1154", "count": 154, "sections": 1, "gpa": 3.0194805194805197 }, { "term": "1162", "count": 106, "sections": 2, "gpa": 2.9339622641509435 }, { "term": "1164", "count": 160, "sections": 1, "gpa": 2.953125 }, { "term": "1182", "count": 160, "sections": 2, "gpa": 3.021875 }, { "term": "1202", "count": 110, "sections": 1, "gpa": 2.9954545454545456 }, { "term": "1204", "count": 75, "sections": 1, "gpa": 3.36 }, { "term": "1212", "count": 134, "sections": 1, "gpa": 3.037313432835821 }, { "term": "1224", "count": 95, "sections": 1, "gpa": 3.042105263157895 }, { "term": "1234", "count": 68, "sections": 1, "gpa": 3.0441176470588234 }, { "term": "1244", "count": 84, "sections": 1, "gpa": 3.017857142857143 }, { "term": "1254", "count": 94, "sections": 1, "gpa": 3.047872340425532 }, { "term": "1264", "count": 88, "sections": 1, "gpa": 3.0454545454545454 } ] }, { "uid": "instructor_65a11f92dfaed13a443e77cc", "name": "HANS FREYBERGER", "count": 646, "terms": [ { "term": "1144", "count": 91, "sections": 1, "gpa": 3.0934065934065935 }, { "term": "1152", "count": 116, "sections": 1, "gpa": 3.038793103448276 }, { "term": "1174", "count": 161, "sections": 1, "gpa": 3.0962732919254656 }, { "term": "1184", "count": 166, "sections": 1, "gpa": 3.183734939759036 }, { "term": "1194", "count": 112, "sections": 1, "gpa": 3.1651785714285716 } ] }, { "uid": "instructor_8277f67cd0e39569d7c99c83", "name": "CHRISTOPHER R TABER", "count": 388, "terms": [ { "term": "1084", "count": 44, "sections": 1, "gpa": 2.840909090909091 }, { "term": "1094", "count": 87, "sections": 1, "gpa": 2.9080459770114944 }, { "term": "1104", "count": 61, "sections": 1, "gpa": 2.9344262295081966 }, { "term": "1114", "count": 105, "sections": 1, "gpa": 2.914285714285714 }, { "term": "1144", "count": 91, "sections": 1, "gpa": 3.0934065934065935 } ] }, { "uid": "instructor_99ae0cffe810678dcb712206", "name": "XIAOXIA SHI", "count": 350, "terms": [ { "term": "1112", "count": 54, "sections": 1, "gpa": 3.0185185185185186 }, { "term": "1124", "count": 48, "sections": 1, "gpa": 3.03125 }, { "term": "1132", "count": 92, "sections": 1, "gpa": 3.027173913043478 }, { "term": "1142", "count": 52, "sections": 1, "gpa": 3.3461538461538463 }, { "term": "1172", "count": 104, "sections": 1, "gpa": 3.0865384615384617 } ] }, { "uid": "instructor_20a7f2a16d282afa8f5ec3b5", "name": "KOHEI YATA", "count": 339, "terms": [ { "term": "1232", "count": 90, "sections": 1, "gpa": 3.1 }, { "term": "1242", "count": 75, "sections": 1, "gpa": 3.2533333333333334 }, { "term": "1252", "count": 83, "sections": 1, "gpa": 3.325301204819277 }, { "term": "1262", "count": 91, "sections": 1, "gpa": 3.3351648351648353 } ] }, { "uid": "instructor_b0ac6839b2e804ee7fc451be", "name": "MIKKEL SOELVSTEN", "count": 186, "terms": [ { "term": "1192", "count": 97, "sections": 1, "gpa": 2.9278350515463916 }, { "term": "1222", "count": 89, "sections": 1, "gpa": 3.3258426966292136 } ] }, { "uid": "instructor_03c6bea7bd478e450c235e45", "name": "JEAN-FRANCOIS HOUDE", "count": 150, "terms": [ { "term": "1082", "count": 45, "sections": 1, "gpa": 2.6555555555555554 }, { "term": "1092", "count": 53, "sections": 1, "gpa": 2.990566037735849 }, { "term": "1102", "count": 52, "sections": 1, "gpa": 2.980769230769231 } ] }, { "uid": "instructor_343128aad2a65368eb487903", "name": "SEUNG GYU SIM", "count": 44, "terms": [ { "term": "1084", "count": 44, "sections": 1, "gpa": 2.840909090909091 } ] }, { "uid": "instructor_d4def4389d701bcd0254798a", "name": "FRANCESCA RONDINA", "count": 43, "terms": [ { "term": "1072", "count": 43, "sections": 1, "gpa": 2.9651162790697674 } ] }, { "uid": "instructor_eb955630f83768cd1e516946", "name": "JACK PORTER", "count": 42, "terms": [ { "term": "1074", "count": 42, "sections": 1, "gpa": 2.7976190476190474 } ] } ] ``` ## following | code | title | | ---------------- | -------------------------------------------------------------- | | ACTSCI 640 | ACTUARIAL STATISTICS FOR RISK MODELING | | ECON 460 | ECONOMIC FORECASTING | | ECON 580 | HONORS TUTORIAL IN RESEARCH PROJECT DESIGN | | ECON/FINANCE 320 | INVESTMENT THEORY | | FINANCE 325 | CORPORATION FINANCE | | FINANCE 330 | DERIVATIVE SECURITIES | | FINANCE 340 | FIXED INCOME SECURITIES | | GENBUS 308 | CLOUD ANALYTICS AND ARTIFICIAL INTELLIGENCE TOOLS FOR BUSINESS | | GENBUS 656 | FOUNDATIONS OF STATISTICAL LEARNING FOR BUSINESS ANALYTICS | | SOC 362 | STATISTICS FOR SOCIOLOGISTS III | | STAT 461 | FINANCIAL STATISTICS | ## projection ### target 1272 ### interval #### lower 2.96 #### upper 3.6 #### coverage 80 #### terms 8 ### gpa 3.2802844778953224 ### grades | grade | percentage | | ----- | ------------------ | | A | 30.567881590160006 | | AB | 24.00521208261139 | | B | 24.95470708576086 | | BC | 16.001738882602883 | | C | 3.128967306094664 | | D | 0.6122760637732108 | | F | 0.7292169889969762 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 428 ### same Season true ### historical Range * 3.099999999999999 * 3.3351648351648353 ### backtest #### terms 8 #### gpa Error 0.11003393004651635 #### mix Error 10.38132769275895