# ECON 400: Introduction to Applied Econometrics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ECON_400) ## 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 0c0ea847682039fa45456015a9f9bfeb20b8721927ecb0af050c2fb36cfd5833 ### course id ECON 400 ### course uid course\_67164e31bc510b3170f584a8 ### catalog version id 9af8d1026fcc74064cc64b42ab7ee3d3053335bf5dd6581aed186ea407abffcf ### course number 400 ### subjects * ECON ### title INTRODUCTION TO APPLIED ECONOMETRICS ### description An introduction to applied econometrics - the statistical methods economists use to evaluate empirical relationships and test economic theory. Emphasis on application of econometrics to real world data using modern statistical software and developing skills needed to understand empirical work in economics. ### requirements text ECON 310, (STAT 240and340), STAT 302,303,311,324,STAT/​MATH  309, or431. Not open to students with credit forECON 410. ### credits min 4 ### credits max 4 ### credit offering ids * 1272:296:025031 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 84a24ca1fa9dc98cf16838fe1a9d1b45f6d21637abb334c792e22b85bebfa92e ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ECON 400 introduces applied econometrics, teaching statistical methods to evaluate empirical relationships and test economic theory using real-world data. ### llm topics * Empirical relationships and economic theory testing. * Application of econometrics to real-world data. ### llm skills * Applying econometric methods to real-world data using statistical software. * Understanding and evaluating empirical economic research. ### llm assumed background * Foundations in economic data analysis, descriptive statistics, and statistical inference. * Data management, R programming, and basic regression techniques. * Advanced statistical modeling, probability, and machine learning techniques in R. * Probability theory, central limit theorem, and estimation methods. ### llm search phrases * applied econometrics * empirical economic analysis * statistical software economics * econometrics R programming * economic data modeling ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 4f45b88e89822ea1b1260dbee734ceb36252a9b50f0cb6f6bb3e08702610f225 #### course id ECON 400 #### current instructors ```json [ { "instructor_uid": "instructor_6f4f1e3e581d45be4e30379b", "message": null, "name": "Christopher Mckelvey", "review_status": "supported", "rmp_instructor_id": "rmp:1632497", "summary": [ { "citations": [ { "instructor_name": "Christopher McKelvey", "review_date": "2019-03-23 01:56:46 +0000 UTC", "review_id": "938cc1191554b25f62954f1d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTMxNDY4ODE5", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2019-12-16 19:09:16 +0000 UTC", "review_id": "97c02f831104d1fa763dea4c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTMyNjc4NjYz", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2021-12-23 20:59:16 +0000 UTC", "review_id": "9cb6215e5c19dac715bafc0c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTM1NjQ0MTIx", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2022-05-15 17:47:27 +0000 UTC", "review_id": "d06b1f50f1f6a51f8b55a8d2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTM2MzQzMzY2", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2023-12-04 21:38:36 +0000 UTC", "review_id": "351a92e7cea7b7513e8aae14", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTM4NTEwNDk4", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2024-10-31 21:28:37 +0000 UTC", "review_id": "e68363df034b3f395cb41595", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTM5ODc4OTYy", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2024-11-15 17:17:44 +0000 UTC", "review_id": "3f16e0580c7e9696b6ae5218", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTM5OTU3NDY3", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2024-12-15 20:19:23 +0000 UTC", "review_id": "decc87e8f2d9318d62c3af88", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTQwMzEwNjA4", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2026-04-23 20:28:11 +0000 UTC", "review_id": "5b57214a62ed74cfd4901d5a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTQyOTE3MDE2", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2026-09-05 00:51:03 +0000 UTC", "review_id": "5d9cc40b1af1d892f78f28c7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTQzNDA5MTU0", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" } ], "text": "Christopher Mckelvey is consistently praised for making difficult economic concepts accessible through clear explanations and engaging lectures. Reviewers highlight his passion, availability for help, and supportive nature. While some note exams are tricky or hard, others find them fair or easy, with consistent mentions of curve adjustments and clear expectations." }, { "citations": [ { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.11 GPA, 43.9% A/AB (n=205 letter grades); Fall 2025: 3.07 GPA, 42.0% A/AB (n=143 letter grades); Spring 2026: 3.06 GPA, 42.6% A/AB (n=197 letter grades)." } ] } ] ``` #### difficulty workload The course features reasonable problem sets and challenging exams. While tests are considered tricky or hard, reviewers find them fair and note that they are curved. ```json { "citations": [ { "instructor_name": "Christopher McKelvey", "review_date": "2019-12-16 19:09:16 +0000 UTC", "review_id": "97c02f831104d1fa763dea4c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTMyNjc4NjYz", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2024-12-15 20:19:23 +0000 UTC", "review_id": "decc87e8f2d9318d62c3af88", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTQwMzEwNjA4", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2026-04-23 20:28:11 +0000 UTC", "review_id": "5b57214a62ed74cfd4901d5a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTQyOTE3MDE2", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of James Walker: James Walker is described as nice but extremely boring, causing students to struggle to stay awake. Reviewers found the class unengaging despite an interest in economics. ```json { "citations": [ { "instructor_name": "James Walker", "review_date": "2013-01-22 15:00:52 +0000 UTC", "review_id": "a3ec122726c42dbd30813c1e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:810416", "source_review_id": "UmF0aW5nLTIxMjg0NzM2", "source_url": "https://www.ratemyprofessors.com/professor/810416", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Christopher McKelvey is described as an engaging lecturer who makes difficult material accessible. Reviewers note his passion for economics and his willingness to help students succeed through clear explanations and support. ```json { "citations": [ { "instructor_name": "Christopher McKelvey", "review_date": "2019-03-23 01:56:46 +0000 UTC", "review_id": "938cc1191554b25f62954f1d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTMxNDY4ODE5", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2019-12-16 19:09:16 +0000 UTC", "review_id": "97c02f831104d1fa763dea4c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTMyNjc4NjYz", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2021-12-23 20:59:16 +0000 UTC", "review_id": "9cb6215e5c19dac715bafc0c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTM1NjQ0MTIx", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2022-05-15 17:47:27 +0000 UTC", "review_id": "d06b1f50f1f6a51f8b55a8d2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTM2MzQzMzY2", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2023-12-04 21:38:36 +0000 UTC", "review_id": "351a92e7cea7b7513e8aae14", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTM4NTEwNDk4", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2024-10-31 21:28:37 +0000 UTC", "review_id": "e68363df034b3f395cb41595", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTM5ODc4OTYy", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2024-11-15 17:17:44 +0000 UTC", "review_id": "3f16e0580c7e9696b6ae5218", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTM5OTU3NDY3", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2024-12-15 20:19:23 +0000 UTC", "review_id": "decc87e8f2d9318d62c3af88", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTQwMzEwNjA4", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2026-04-23 20:28:11 +0000 UTC", "review_id": "5b57214a62ed74cfd4901d5a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTQyOTE3MDE2", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2026-09-05 00:51:03 +0000 UTC", "review_id": "5d9cc40b1af1d892f78f28c7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTQzNDA5MTU0", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.11 GPA, 43.9% A/AB (n=205 letter grades); Fall 2025: 3.07 GPA, 42.0% A/AB (n=143 letter grades); Spring 2026: 3.06 GPA, 42.6% A/AB (n=197 letter grades). ```json { "citations": [ { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students appreciate recorded lectures, posted solutions, and responsive office hours. Success is associated with attending class, completing problem sets, and understanding the material. ```json { "citations": [ { "instructor_name": "Christopher McKelvey", "review_date": "2023-12-04 21:38:36 +0000 UTC", "review_id": "351a92e7cea7b7513e8aae14", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTM4NTEwNDk4", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2024-11-15 17:17:44 +0000 UTC", "review_id": "3f16e0580c7e9696b6ae5218", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTM5OTU3NDY3", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" }, { "instructor_name": "Christopher McKelvey", "review_date": "2026-04-23 20:28:11 +0000 UTC", "review_id": "5b57214a62ed74cfd4901d5a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1632497", "source_review_id": "UmF0aW5nLTQyOTE3MDE2", "source_url": "https://www.ratemyprofessors.com/professor/1632497", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history CHRISTOPHER MCKELVEY is recorded teaching in Fall 2018, Spring 2019, Fall 2019, Fall 2020, Fall 2021, Spring 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` MATTHEW FRIEDMAN is recorded teaching in Spring 2020, Fall 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "ECON 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "source_record": { "entity_id": "4d66b476-577d-3b96-af9b-1edaa21bc6fc", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "ECON 310, (STAT 240and340), STAT 302,303,311,324,STAT/MATH 309, or431. Not open to students with credit forECON 410.", "id": "n0", "kind": "all" }, { "children": [ "n1a", "n1b", "n1c", "n1d", "n1e", "n1f", "n1g" ], "condition": null, "course": null, "evidence": "ECON 310, (STAT 240and340), STAT 302,303,311,324,STAT/MATH 309, or431.", "id": "n1", "kind": "any" }, { "children": [ "n2a" ], "condition": null, "course": null, "evidence": "Not open to students with credit forECON 410.", "id": "n2", "kind": "not" }, { "children": [], "condition": "Not open to students with credit forECON 410.", "course": null, "evidence": "Not open to students with credit forECON 410.", "id": "n2a", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "ECON" ], "timing": "prior" }, "evidence": "ECON 310,", "id": "n1a", "kind": "course" }, { "children": [ "n1b1", "n1b2" ], "condition": null, "course": null, "evidence": "(STAT 240and340),", "id": "n1b", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 240, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 240", "id": "n1b1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 340, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "340", "id": "n1b2", "kind": "course" }, { "children": [], "condition": "STAT 302,", "course": null, "evidence": "STAT 302,", "id": "n1c", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 303, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "303,", "id": "n1d", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 311, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "311,", "id": "n1e", "kind": "course" }, { "children": [], "condition": "324,", "course": null, "evidence": "324,", "id": "n1f", "kind": "condition" }, { "children": [ "n1g1", "n1g2" ], "condition": null, "course": null, "evidence": "STAT/MATH 309, or431.", "id": "n1g", "kind": "any" }, { "children": [], "condition": "STAT/MATH 309,", "course": null, "evidence": "STAT/MATH 309,", "id": "n1g1", "kind": "condition" }, { "children": [], "condition": "or431.", "course": null, "evidence": "or431.", "id": "n1g2", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_6f4f1e3e581d45be4e30379b", "source": "enrollment", "source_instructor_id": "cmckelvey", "identity_basis": "netid", "identity_status": "source_identified", "name": "Christopher Mckelvey", "email": "CMCKELVEY@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": 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 }, "instructor_url": "/instructors/CHRISTOPHER_MCKELVEY" }, { "instructor_uid": "instructor_7a2ad80b4bd9086e40347556", "source": "enrollment", "source_instructor_id": "jkim2348", "identity_basis": "netid", "identity_status": "source_identified", "name": "Julie Kim", "email": "JULIE.KIM2@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/JULIE_KIM" }, { "instructor_uid": "instructor_80985aa95c7c1da2b6614439", "source": "enrollment", "source_instructor_id": "mnishida", "identity_basis": "netid", "identity_status": "source_identified", "name": "Masahiro Nishida", "email": "MNISHIDA@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/MASAHIRO_NISHIDA" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:296:025031", "course_id": "ECON 400", "course_uid": "course_67164e31bc510b3170f584a8", "term_id": "1272", "source_course_id": "025031", "source_subject_id": "296", "title": "Introduction to Applied Econometrics", "credits_min": 4, "credits_max": 4, "typically_offered": "Fall, Spring, Summer" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:19425", "term_id": "1272", "source_section_id": "19425", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 80, "enrolled": 184, "waitlisted": 9, "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:1272:19426", "term_id": "1272", "source_section_id": "19426", "identity_basis": "class_number", "section_number": "301", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 10, "enrolled": 22, "waitlisted": 2, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:19427", "term_id": "1272", "source_section_id": "19427", "identity_basis": "class_number", "section_number": "302", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 10, "enrolled": 24, "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:1272:19428", "term_id": "1272", "source_section_id": "19428", "identity_basis": "class_number", "section_number": "303", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 10, "enrolled": 23, "waitlisted": 3, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:20278", "term_id": "1272", "source_section_id": "20278", "identity_basis": "class_number", "section_number": "304", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 10, "enrolled": 21, "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:1272:22484", "term_id": "1272", "source_section_id": "22484", "identity_basis": "class_number", "section_number": "305", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 10, "enrolled": 23, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:26283", "term_id": "1272", "source_section_id": 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"Classroom Instruction", "capacity": 10, "enrolled": 24, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_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_4504aa74426296a45eb96a40", "source": "madgrades", "source_instructor_id": "3477375", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MATTHEW FRIEDMAN", "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": 140, "quality": 3.88, "difficulty": 3.61, "quality_count": 140, "difficulty_count": 140, "profile_id": "rmp:2423601", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "match_basis": "exact_name", "observed_at": "2026-09-07 16:19:46.903284+00:00", "courses": { "course_f4f5c3694ef826912b11fa8e": { "review_count": 21, "quality": 4.9, "difficulty": 3.1, "quality_count": 21, "difficulty_count": 21 }, "course_7bd7653c564300d23aa3d0da": { "review_count": 51, "quality": 4.49, "difficulty": 3, "quality_count": 51, "difficulty_count": 51 }, "course_1932eed8246324e0a053d4fe": { "review_count": 5, "quality": 4.4, "difficulty": 3.4, "quality_count": 5, "difficulty_count": 5 }, "course_67164e31bc510b3170f584a8": { "review_count": 30, "quality": 2, "difficulty": 4.5, "quality_count": 30, "difficulty_count": 30 }, "course_c1d62f93b6bc2a4cab189b27": { "review_count": 17, 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"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 }, "instructor_url": "/instructors/CHRISTOPHER_MCKELVEY" }, { "instructor_uid": "instructor_7a2ad80b4bd9086e40347556", "source": "enrollment", "source_instructor_id": "jkim2348", "identity_basis": "netid", "identity_status": "source_identified", "name": "Julie Kim", "email": "JULIE.KIM2@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/JULIE_KIM" }, { "instructor_uid": "instructor_80985aa95c7c1da2b6614439", "source": "enrollment", "source_instructor_id": "mnishida", "identity_basis": "netid", "identity_status": "source_identified", "name": "Masahiro Nishida", "email": "MNISHIDA@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/MASAHIRO_NISHIDA" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 400", "course_uid": "course_67164e31bc510b3170f584a8", "term_id": "1192", "term_name": "Fall 2018", 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"satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 145, "source_aliases": [ "ECON 400" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 400", "course_uid": "course_67164e31bc510b3170f584a8", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Christopher Mckelvey" ], "a": 52, "ab": 38, "b": 49, "bc": 39, "c": 25, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 206, "source_aliases": [ "ECON 400" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 400", "course_uid": "course_67164e31bc510b3170f584a8", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Christopher Mckelvey" ], "a": 30, "ab": 30, "b": 34, "bc": 27, "c": 22, "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": 143, "source_aliases": [ "ECON 400" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 400", "course_uid": "course_67164e31bc510b3170f584a8", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Christopher Mckelvey" ], "a": 45, "ab": 39, "b": 40, "bc": 45, "c": 26, "d": 1, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 198, "source_aliases": [ "ECON 400" ] } ] ``` ### statistics #### gpa 3.075 #### graded 1738 #### counts * 410 * 368 * 362 * 343 * 225 * 22 * 8 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_67164e31bc510b3170f584a8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_67164e31bc510b3170f584a8-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_67164e31bc510b3170f584a8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_67164e31bc510b3170f584a8-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_67164e31bc510b3170f584a8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_67164e31bc510b3170f584a8-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_67164e31bc510b3170f584a8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_67164e31bc510b3170f584a8-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_67164e31bc510b3170f584a8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_67164e31bc510b3170f584a8-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.074510932105869 #### count 1738 #### university ##### size 4967 ##### gpa Percentile 2 ##### count Percentile 95 ##### median Count 148 ##### 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 | 8 | false | | 2.8–3.2 | 254 | true | | 3.2–3.6 | 1193 | false | | 3.6–4.0 | 3512 | false | #### departments ```json [ { "subject": "ECON", "comparison": { "size": 117, "gpaPercentile": 3, "countPercentile": 92, "medianCount": 188, "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": 17, "current": true }, { "range": "3.2–3.6", "count": 46, "current": false }, { "range": "3.6–4.0", "count": 54, "current": false } ] } } ] ``` ### terms #### 1192 ##### term 1192 ##### gpa 3.029850746268657 ##### count 67 ##### university ###### size 1077 ###### gpa Percentile 11 ###### count Percentile 50 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": 19, "countPercentile": 46, "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 3.031578947368421 ##### count 95 ##### university ###### size 1040 ###### gpa Percentile 12 ###### 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 | 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": 22, "countPercentile": 59, "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 3.0402298850574714 ##### count 87 ##### university ###### size 1102 ###### gpa Percentile 10 ###### count Percentile 61 ###### 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": 14, "countPercentile": 49, "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 3.463768115942029 ##### count 69 ##### university ###### size 1012 ###### gpa Percentile 16 ###### count Percentile 52 ###### 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": 28, "countPercentile": 41, "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 3.044943820224719 ##### count 89 ##### university ###### size 1111 ###### gpa Percentile 6 ###### count Percentile 60 ###### 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": 10, "countPercentile": 67, "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 3.106382978723404 ##### count 94 ##### university ###### size 1157 ###### gpa Percentile 11 ###### count Percentile 64 ###### 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 | true | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 37, "gpaPercentile": 17, "countPercentile": 72, "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": true }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.0494505494505493 ##### count 91 ##### university ###### size 1171 ###### gpa Percentile 9 ###### count Percentile 65 ###### 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": 17, "countPercentile": 67, "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 2.9888059701492535 ##### count 134 ##### university ###### size 1216 ###### gpa Percentile 5 ###### count Percentile 77 ###### 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": 8, "countPercentile": 76, "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 3.036842105263158 ##### count 95 ##### university ###### size 1188 ###### gpa Percentile 7 ###### count Percentile 66 ###### 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": 20, "countPercentile": 71, "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 3.0393700787401574 ##### count 127 ##### university ###### size 1295 ###### gpa Percentile 6 ###### count Percentile 77 ###### 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 | true | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 44, "gpaPercentile": 14, "countPercentile": 77, "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": true }, { "range": "3.2–3.6", "count": 19, "current": false }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.095 ##### count 100 ##### university ###### size 1241 ###### gpa Percentile 8 ###### count Percentile 71 ###### 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": 14, "countPercentile": 69, "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 3.075862068965517 ##### count 145 ##### university ###### size 1333 ###### gpa Percentile 6 ###### count Percentile 79 ###### 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 | true | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 46, "gpaPercentile": 4, "countPercentile": 80, "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": true }, { "range": "3.2–3.6", "count": 26, "current": false }, { "range": "3.6–4.0", "count": 12, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.1097560975609757 ##### count 205 ##### university ###### size 1289 ###### gpa Percentile 8 ###### count Percentile 88 ###### 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": 16, "countPercentile": 82, "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 3.0664335664335662 ##### count 143 ##### university ###### size 1320 ###### gpa Percentile 5 ###### count Percentile 78 ###### 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 | true | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 40, "gpaPercentile": 3, "countPercentile": 74, "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": true }, { "range": "3.2–3.6", "count": 21, "current": false }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.0558375634517767 ##### count 197 ##### university ###### size 1283 ###### gpa Percentile 6 ###### count Percentile 88 ###### 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": 8, "countPercentile": 78, "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 4967 ###### gpa 3.703437086021844 ###### top Share 84.56117787874945 ###### count 148 ##### ECON ###### size 117 ###### gpa 3.5728441195115943 ###### top Share 75.470874890189 ###### count 188 #### terms ##### 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": 1535, "terms": [ { "term": "1192", "count": 67, "sections": 1, "gpa": 3.029850746268657 }, { "term": "1194", "count": 95, "sections": 1, "gpa": 3.031578947368421 }, { "term": "1202", "count": 87, "sections": 1, "gpa": 3.0402298850574714 }, { "term": "1212", "count": 89, "sections": 1, "gpa": 3.044943820224719 }, { "term": "1222", "count": 94, "sections": 1, "gpa": 3.106382978723404 }, { "term": "1224", "count": 91, "sections": 1, "gpa": 3.0494505494505493 }, { "term": "1234", "count": 95, "sections": 1, "gpa": 3.036842105263158 }, { "term": "1242", "count": 127, "sections": 1, "gpa": 3.0393700787401574 }, { "term": "1244", "count": 100, "sections": 1, "gpa": 3.095 }, { "term": "1252", "count": 145, "sections": 1, "gpa": 3.075862068965517 }, { "term": "1254", "count": 205, "sections": 1, "gpa": 3.1097560975609757 }, { "term": "1262", "count": 143, "sections": 1, "gpa": 3.0664335664335662 }, { "term": "1264", "count": 197, "sections": 1, "gpa": 3.0558375634517767 } ] }, { "uid": "instructor_4504aa74426296a45eb96a40", "name": "MATTHEW FRIEDMAN", "count": 203, "terms": [ { "term": "1204", "count": 69, "sections": 1, "gpa": 3.463768115942029 }, { "term": "1232", "count": 134, "sections": 1, "gpa": 2.9888059701492535 } ] }, { "uid": "instructor_047a739e2fd1400f9926278e", "name": "QIN LIN", "count": 127, "terms": [ { "term": "1242", "count": 127, "sections": 1, "gpa": 3.0393700787401574 } ] }, { "uid": "instructor_92cd8e281e5bf10b47fe2ed9", "name": "JOOHYUN LEE", "count": 127, "terms": [ { "term": "1242", "count": 127, "sections": 1, "gpa": 3.0393700787401574 } ] } ] ``` ## following | code | title | | ---------------- | -------------------------------------------------------------- | | ECON 460 | ECONOMIC FORECASTING | | 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 | ## projection ### target 1272 ### interval #### lower 2.96 #### upper 3.15 #### coverage 80 #### terms 6 ### gpa 3.056569251785222 ### grades | grade | percentage | | ----- | ------------------ | | A | 21.769232119459588 | | AB | 22.248226195208133 | | B | 21.525249327203237 | | BC | 19.085791041420148 | | C | 13.55459258329455 | | D | 1.3117942657062636 | | F | 0.5051144677080712 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 643 ### same Season true ### historical Range * 2.9888059701492535 * 3.1063829787234036 ### backtest #### terms 6 #### gpa Error 0.04696314602491802 #### mix Error 5.5733293094025615