# ECON 695: Topics in Economic Data Analysis | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ECON_695) ## 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 983685cc1389cf5cb949ad8a64e256e56b8388de87379b3ee7132cb5ace1e2da ### course id ECON 695 ### course uid course\_f4f5c3694ef826912b11fa8e ### catalog version id ca8a9bf22f97d132730a5003b8d0f7198abc34a99c2a5de4722d1c82d47f9434 ### course number 695 ### subjects * ECON ### title TOPICS IN ECONOMIC DATA ANALYSIS ### description Various advanced topics on the use of data to answer important economic questions. ### requirements text ECON 310, (STAT 240and340), or (STAT 303and333) ### credits min 3 ### credits max 4 ### credit offering ids * 1272:296:025831 * 1272:296:025831.2 * 1272:296:025831.6 ### llm job id enrich-b6d8f78c1be0d523cf09d00d ### llm output id 83f445f91cf3baad31cdb9a8ae6b661d781ca5330995d8097cae2fea018fbc52 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ECON 695 covers advanced topics in using data to answer important economic questions. ### llm topics * Advanced topics in economic data analysis. ### llm skills * Applying data analysis techniques to answer economic questions. ### llm assumed background * Proficiency in R programming, data manipulation, and statistical modeling techniques such as regression and hypothesis testing. * Foundational knowledge in economic data analysis and statistical inference. ### llm search phrases * ECON 695 data analysis * ECON 695 R programming * ECON 695 regression * ECON 695 statistical modeling * ECON 695 topics * ECON 695 advanced economics ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 03f9fee62151b35ff0f1e67dc10f80b8f7f25237141cee213cbfb2ab3008b70b #### course id ECON 695 #### current instructors ```json [ { "instructor_uid": "instructor_8e5b8f58469ceddd22385aab", "message": "No course-specific reviews available", "name": "Alice Wu", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "ECON 695", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "source_record": { "entity_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.84 GPA, 89.5% A/AB (n=19 letter grades)." } ] } ] ``` #### difficulty workload Historical reviews of Matthew Friedman: Reviewers describe the workload as heavy, with exams being particularly stressful and brutal when coding independently, although the curve is often fair. ```json { "citations": [ { "instructor_name": "Matthew Friedman", "review_date": "2024-02-16 23:24:05 +0000 UTC", "review_id": "5b52963bb63401a4a24ac829", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM4OTgxMjEz", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2024-06-24 15:27:48 +0000 UTC", "review_id": "a65708cd542188665eda66b2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM5NTkwNTky", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2024-07-06 03:48:40 +0000 UTC", "review_id": "0033d4afee4ab1566954431b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM5NjExMjc3", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2024-11-11 13:31:49 +0000 UTC", "review_id": "45aada816efcc3ddb4871077", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM5OTIyODc0", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2025-11-25 05:06:20 +0000 UTC", "review_id": "ee4d9228695aec2f79ee7662", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTQxOTQ3ODI1", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" } ] } ``` #### errors None recorded. #### historical context Alice Wu is the current instructor for ECON 695. Historical reviews for Matthew Friedman describe him as helpful and effective at teaching Python, though some students find the exams stressful and the workload heavy. Austin Miller is similarly praised for patience and clear explanations, with well-organized slides supporting problem sets. ```json { "citations": [ { "instructor_name": "Matthew Friedman", "review_date": "2024-02-16 23:24:05 +0000 UTC", "review_id": "5b52963bb63401a4a24ac829", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM4OTgxMjEz", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2024-02-21 02:28:47 +0000 UTC", "review_id": "a85cd6d49a42067c110ae029", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM4OTg5MjYx", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2024-07-06 03:48:40 +0000 UTC", "review_id": "0033d4afee4ab1566954431b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM5NjExMjc3", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2024-11-11 13:31:49 +0000 UTC", "review_id": "45aada816efcc3ddb4871077", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM5OTIyODc0", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Austin Miller", "review_date": "2025-12-19 23:26:28 +0000 UTC", "review_id": "edb9ff989a3552242d19a050", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3139509", "source_review_id": "UmF0aW5nLTQyMzUyOTUw", "source_url": "https://www.ratemyprofessors.com/professor/3139509", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews for Matthew Friedman and Austin Miller highlight strong teaching quality and helpfulness, though students note the course involves significant work and challenging coding exams. ```json { "citations": [ { "instructor_name": "Matthew Friedman", "review_date": "2024-02-16 23:24:05 +0000 UTC", "review_id": "5b52963bb63401a4a24ac829", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM4OTgxMjEz", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2024-02-21 02:28:47 +0000 UTC", "review_id": "a85cd6d49a42067c110ae029", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM4OTg5MjYx", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2024-06-24 15:27:48 +0000 UTC", "review_id": "a65708cd542188665eda66b2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM5NTkwNTky", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2024-07-06 03:48:40 +0000 UTC", "review_id": "0033d4afee4ab1566954431b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM5NjExMjc3", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2024-07-29 17:35:10 +0000 UTC", "review_id": "6fcd75edbb15e820238ca10f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM5NjQ5MDY5", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2024-11-06 17:44:33 +0000 UTC", "review_id": "ac770de59d233fb2da8477ba", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM5OTAyMjU1", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2024-11-11 13:31:49 +0000 UTC", "review_id": "45aada816efcc3ddb4871077", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM5OTIyODc0", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2025-11-13 01:55:20 +0000 UTC", "review_id": "162f3691676842df4a2799b7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTQxODU1NDg2", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2025-11-25 05:06:20 +0000 UTC", "review_id": "ee4d9228695aec2f79ee7662", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTQxOTQ3ODI1", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Austin Miller", "review_date": "2025-12-19 23:26:28 +0000 UTC", "review_id": "edb9ff989a3552242d19a050", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3139509", "source_review_id": "UmF0aW5nLTQyMzUyOTUw", "source_url": "https://www.ratemyprofessors.com/professor/3139509", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.73 GPA, 79.8% A/AB (n=84 letter grades); Fall 2025: 3.84 GPA, 91.9% A/AB (n=62 letter grades); Spring 2026: 3.66 GPA, 84.0% A/AB (n=119 letter grades). ```json { "citations": [ { "course_id": "ECON 695", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ECON 695", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "ECON 695", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Austin Miller, Matthew Friedman: Students value the instructors' patience and willingness to help outside office hours, noting that organized materials and open-note exams support learning. ```json { "citations": [ { "instructor_name": "Matthew Friedman", "review_date": "2024-02-21 02:28:47 +0000 UTC", "review_id": "a85cd6d49a42067c110ae029", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM4OTg5MjYx", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2024-07-06 03:48:40 +0000 UTC", "review_id": "0033d4afee4ab1566954431b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM5NjExMjc3", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Matthew Friedman", "review_date": "2024-11-06 17:44:33 +0000 UTC", "review_id": "ac770de59d233fb2da8477ba", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2423601", "source_review_id": "UmF0aW5nLTM5OTAyMjU1", "source_url": "https://www.ratemyprofessors.com/professor/2423601", "type": "review" }, { "instructor_name": "Austin Miller", "review_date": "2025-12-19 23:26:28 +0000 UTC", "review_id": "edb9ff989a3552242d19a050", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3139509", "source_review_id": "UmF0aW5nLTQyMzUyOTUw", "source_url": "https://www.ratemyprofessors.com/professor/3139509", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ALICE WU is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ECON 695", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "source_record": { "entity_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` AUSTIN MILLER is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ECON 695", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "source_record": { "entity_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` MATTHEW FRIEDMAN is recorded teaching in Fall 2021, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ECON 695", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "source_record": { "entity_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ECON 695", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "source_record": { "entity_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "ECON 695", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "source_record": { "entity_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ECON 695", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "source_record": { "entity_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ECON 695", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "source_record": { "entity_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ECON 695", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "source_record": { "entity_id": "a37acfe0-857b-32ab-b7e7-625dec7b06b4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "ECON 310, (STAT 240and340), or (STAT 303and333)", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "ECON" ], "timing": "prior" }, "evidence": "ECON 310", "id": "n1", "kind": "course" }, { "children": [ "n4", "n5" ], "condition": null, "course": null, "evidence": "(STAT 240and340)", "id": "n2", "kind": "all" }, { "children": [ "n6", "n7" ], "condition": null, "course": null, "evidence": "(STAT 303and333)", "id": "n3", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 240, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 240", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 340, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "340", "id": "n5", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 303, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 303", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 333, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "333", "id": "n7", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | -------- | ---------------- | -------------------------------- | -------------------------------- | ---------------------- | | instructor\_8e5b8f58469ceddd22385aab | enrollment | hwu526 | netid | source\_identified | Alice Wu | HWU526\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/ALICE\_WU | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:296:025831", "course_id": "ECON 695", "course_uid": "course_f4f5c3694ef826912b11fa8e", "term_id": "1272", "source_course_id": "025831", "source_subject_id": "296", "title": "Topics in Economic Data Analysis", "credits_min": 3, "credits_max": 4, "typically_offered": "Not Applicable" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:296:025831.2", "course_id": "ECON 695", "course_uid": "course_f4f5c3694ef826912b11fa8e", "term_id": "1272", "source_course_id": "025831.2", "source_subject_id": "296", "title": "Causal Effects in Policy", "credits_min": 3, "credits_max": 4, "typically_offered": "Not Applicable" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:296:025831.6", "course_id": "ECON 695", "course_uid": "course_f4f5c3694ef826912b11fa8e", "term_id": "1272", "source_course_id": "025831.6", "source_subject_id": "296", "title": "Metrics: AI & Machine Learning", "credits_min": 3, "credits_max": 4, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:29165", "term_id": "1272", "source_section_id": "29165", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 45, "enrolled": 43, "waitlisted": 1, "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_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, "quality": 4.06, "difficulty": 4.41, "quality_count": 17, "difficulty_count": 17 }, "course_76a0854768c03089348672b1": { "review_count": 16, "quality": 3.75, "difficulty": 3.75, "quality_count": 16, "difficulty_count": 16 } }, "bayesian_quality": 3.8524607229433245, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.163, "graded": 2455, "counts": [ 690, 552, 612, 285, 230, 65, 21 ], "sections": 33 }, "instructor_url": "/instructors/MATTHEW_FRIEDMAN" }, { "instructor_uid": "instructor_2da984110274a1696a9dd46c", "source": "madgrades", "source_instructor_id": "6316565", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HAROLD CHIANG", "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": 3.661, "graded": 480, "counts": [ 258, 129, 88, 2, 2, 1, 0 ], "sections": 18 }, "instructor_url": "/instructors/HAROLD_CHIANG--instructor_2da984110274a1696a9dd46c" }, { "instructor_uid": "instructor_83d5c967c8a1091816a2f65e", "source": "madgrades", "source_instructor_id": "4152322", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JESSE GREGORY", "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": 3.67, "difficulty": 2.67, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:1970915", "source_url": "https://www.ratemyprofessors.com/professor/1970915", "match_basis": "exact_name", "observed_at": "2026-09-07 16:32:57.842427+00:00", "courses": { "course_acbe78395542e3fcde444a85": { "review_count": 4, "quality": 4, "difficulty": 2.25, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.6620659873435346, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.491, "graded": 1467, "counts": [ 743, 312, 210, 111, 67, 16, 8 ], "sections": 61 }, "instructor_url": "/instructors/JESSE_GREGORY--instructor_83d5c967c8a1091816a2f65e" }, { "instructor_uid": "instructor_93a3f6c53e3873726b6ccc36", "source": "madgrades", "source_instructor_id": "6586232", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KARAM KANG", "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": 3.907, "graded": 259, "counts": [ 243, 0, 10, 0, 5, 0, 1 ], "sections": 11 }, "instructor_url": "/instructors/KARAM_KANG--instructor_93a3f6c53e3873726b6ccc36" }, { "instructor_uid": "instructor_05006ec4ccc696bbeb51a8f9", "source": "madgrades", "source_instructor_id": "6291892", "identity_basis": "source_id", "identity_status": "source_identified", "name": "AUSTIN MILLER", "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": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:3139509", "source_url": "https://www.ratemyprofessors.com/professor/3139509", "match_basis": "exact_name", "observed_at": "2026-09-07 16:53:50.615087+00:00", "courses": { "course_f4f5c3694ef826912b11fa8e": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7235102700443767, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.256, "graded": 1254, "counts": [ 328, 368, 298, 171, 75, 11, 3 ], "sections": 6 }, "instructor_url": "/instructors/AUSTIN_MILLER--instructor_05006ec4ccc696bbeb51a8f9" }, { "instructor_uid": "instructor_2b2b8119cd66559ad40ff1f6", "source": "madgrades", "source_instructor_id": "6802579", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALICE WU", "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": 3.845, "graded": 97, "counts": [ 72, 20, 5, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/ALICE_WU--instructor_2b2b8119cd66559ad40ff1f6" }, { "instructor_uid": "instructor_8e5b8f58469ceddd22385aab", "source": "enrollment", "source_instructor_id": "hwu526", "identity_basis": "netid", "identity_status": "source_identified", "name": "Alice Wu", "email": "HWU526@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/ALICE_WU" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 695", "course_uid": "course_f4f5c3694ef826912b11fa8e", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Matt Friedman" ], "a": 26, "ab": 5, "b": 6, "bc": 4, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 42, "source_aliases": [ "ECON 695" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 695", "course_uid": "course_f4f5c3694ef826912b11fa8e", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Harold Chiang", "Jesse Gregory" ], "a": 33, "ab": 9, "b": 4, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "ECON 695" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 695", "course_uid": "course_f4f5c3694ef826912b11fa8e", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Harold Chiang", "Matt Friedman" ], "a": 47, "ab": 24, "b": 14, "bc": 4, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 89, "source_aliases": [ "ECON 695" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 695", "course_uid": "course_f4f5c3694ef826912b11fa8e", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Matt Friedman" ], "a": 17, "ab": 4, "b": 7, "bc": 1, "c": 3, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 34, "source_aliases": [ "ECON 695" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 695", "course_uid": "course_f4f5c3694ef826912b11fa8e", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Karam Kang", "Matt Friedman" ], "a": 54, "ab": 14, "b": 13, "bc": 2, "c": 3, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 87, "source_aliases": [ "ECON 695" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 695", "course_uid": "course_f4f5c3694ef826912b11fa8e", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Matt Friedman" ], "a": 14, "ab": 9, "b": 12, "bc": 3, "c": 4, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 42, "source_aliases": [ "ECON 695" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 695", "course_uid": "course_f4f5c3694ef826912b11fa8e", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Harold Chiang", "Karam Kang" ], "a": 61, "ab": 6, "b": 14, "bc": 0, "c": 3, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 84, "source_aliases": [ "ECON 695" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 695", "course_uid": "course_f4f5c3694ef826912b11fa8e", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Alice Wu", "Austin Miller" ], "a": 55, "ab": 2, "b": 3, "bc": 0, "c": 1, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 62, "source_aliases": [ "ECON 695" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ECON 695", "course_uid": "course_f4f5c3694ef826912b11fa8e", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Harold Chiang", "Karam Kang", "Matt Friedman" ], "a": 78, "ab": 22, "b": 7, "bc": 6, "c": 5, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 119, "source_aliases": [ "ECON 695" ] } ] ``` ### statistics #### gpa 3.648 #### graded 605 #### counts * 385 * 95 * 80 * 21 * 20 * 2 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_f4f5c3694ef826912b11fa8e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_f4f5c3694ef826912b11fa8e-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_f4f5c3694ef826912b11fa8e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_f4f5c3694ef826912b11fa8e-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_f4f5c3694ef826912b11fa8e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_f4f5c3694ef826912b11fa8e-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_f4f5c3694ef826912b11fa8e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_f4f5c3694ef826912b11fa8e-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_f4f5c3694ef826912b11fa8e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_f4f5c3694ef826912b11fa8e-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.6479338842975206 #### count 605 #### university ##### size 4332 ##### gpa Percentile 35 ##### count Percentile 89 ##### median Count 120 ##### 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 | 13 | false | | 2.8–3.2 | 232 | false | | 3.2–3.6 | 1044 | false | | 3.6–4.0 | 3043 | true | #### departments ```json [ { "subject": "ECON", "comparison": { "size": 105, "gpaPercentile": 64, "countPercentile": 87, "medianCount": 143, "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": false }, { "range": "3.2–3.6", "count": 47, "current": false }, { "range": "3.6–4.0", "count": 41, "current": true } ] } } ] ``` ### terms #### 1222 ##### term 1222 ##### gpa 3.607142857142857 ##### count 42 ##### university ###### size 1157 ###### gpa Percentile 48 ###### count Percentile 26 ###### 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 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 37, "gpaPercentile": 75, "countPercentile": 25, "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": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.7872340425531914 ##### count 47 ##### university ###### size 1171 ###### gpa Percentile 68 ###### count Percentile 33 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 37, "gpaPercentile": 89, "countPercentile": 36, "medianCount": 71, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 15, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.640449438202247 ##### count 89 ##### university ###### size 1188 ###### gpa Percentile 49 ###### count Percentile 63 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 36, "gpaPercentile": 86, "countPercentile": 63, "medianCount": 70.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 15, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.409090909090909 ##### count 33 ##### university ###### size 1295 ###### gpa Percentile 27 ###### count Percentile 9 ###### 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": 51, "countPercentile": 7, "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 3.6206896551724137 ##### count 87 ##### university ###### size 1241 ###### gpa Percentile 46 ###### count Percentile 62 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 36, "gpaPercentile": 80, "countPercentile": 51, "medianCount": 85.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.3095238095238093 ##### count 42 ##### university ###### size 1333 ###### gpa Percentile 15 ###### count Percentile 24 ###### 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": 31, "countPercentile": 20, "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 3.7261904761904763 ##### count 84 ##### university ###### size 1289 ###### gpa Percentile 56 ###### 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 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 39, "gpaPercentile": 87, "countPercentile": 61, "medianCount": 73, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.838709677419355 ##### count 62 ##### university ###### size 1320 ###### gpa Percentile 69 ###### count Percentile 43 ###### 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 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 40, "gpaPercentile": 97, "countPercentile": 44, "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": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.6638655462184873 ##### count 119 ##### university ###### size 1283 ###### gpa Percentile 45 ###### count Percentile 75 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "ECON", "comparison": { "size": 37, "gpaPercentile": 83, "countPercentile": 69, "medianCount": 53, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4332 ###### gpa 3.699124078069818 ###### top Share 84.30295504268902 ###### count 120 ##### ECON ###### size 105 ###### gpa 3.554104224916166 ###### top Share 74.50265923849062 ###### count 143 #### terms ##### 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 ##### 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_4504aa74426296a45eb96a40", "name": "MATTHEW FRIEDMAN", "count": 244, "terms": [ { "term": "1222", "count": 42, "sections": 1, "gpa": 3.607142857142857 }, { "term": "1234", "count": 44, "sections": 1, "gpa": 3.522727272727273 }, { "term": "1242", "count": 33, "sections": 1, "gpa": 3.409090909090909 }, { "term": "1244", "count": 43, "sections": 1, "gpa": 3.441860465116279 }, { "term": "1252", "count": 42, "sections": 1, "gpa": 3.3095238095238093 }, { "term": "1264", "count": 40, "sections": 1, "gpa": 3.1625 } ] }, { "uid": "instructor_2da984110274a1696a9dd46c", "name": "HAROLD CHIANG", "count": 158, "terms": [ { "term": "1224", "count": 32, "sections": 1, "gpa": 3.765625 }, { "term": "1234", "count": 45, "sections": 1, "gpa": 3.7555555555555555 }, { "term": "1254", "count": 40, "sections": 1, "gpa": 3.75 }, { "term": "1264", "count": 41, "sections": 1, "gpa": 3.841463414634146 } ] }, { "uid": "instructor_93a3f6c53e3873726b6ccc36", "name": "KARAM KANG", "count": 126, "terms": [ { "term": "1244", "count": 44, "sections": 1, "gpa": 3.7954545454545454 }, { "term": "1254", "count": 44, "sections": 1, "gpa": 3.7045454545454546 }, { "term": "1264", "count": 38, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_05006ec4ccc696bbeb51a8f9", "name": "AUSTIN MILLER", "count": 43, "terms": [ { "term": "1262", "count": 43, "sections": 1, "gpa": 3.8372093023255816 } ] }, { "uid": "instructor_2b2b8119cd66559ad40ff1f6", "name": "ALICE WU", "count": 19, "terms": [ { "term": "1262", "count": 19, "sections": 1, "gpa": 3.8421052631578947 } ] }, { "uid": "instructor_83d5c967c8a1091816a2f65e", "name": "JESSE GREGORY", "count": 15, "terms": [ { "term": "1224", "count": 15, "sections": 1, "gpa": 3.8333333333333335 } ] } ] ``` ## following None recorded.