# CIVENGR 423: Air Pollution Effects, Measurement and Control | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CIVENGR_423) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+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 8f0d855140228bd528c5b868f28ece65abed4f99605213c5ad24aaabe430ac3d ### course id CIVENGR 423 ### course uid course\_cc180f4a2a4bd74cb8b822f5 ### catalog version id 3d019638b3b28f564e73dfbadf924a517b2f81f6af9164dcde148f38e7f73f74 ### course number 423 ### subjects * CIVENGR ### title AIR POLLUTION EFFECTS, MEASUREMENT AND CONTROL ### description The influence of man-caused pollution on the atmosphere, globally and locally. Evaluation of human health, economic, and aesthetic effects of air pollution. Techniques for measurement of atmosphere pollutant concentrations and determination of local and regional air quality. Detailed presentation of air pollution sources and methods for their control. The role of local, state and federal government in air pollution control. ### requirements text Senior standing and declared in Biomed, Biological Sys, Chemical, Civil, Computer, Electrical, Environmental, Geological, Industrial, Mechanical or Nuclear Egr, Mat Sci & Egr, Egr Physics, Egr Mechanics, grad/prof standing or member of Egr Guest Students ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id d3dfa52608d6a439898789b442287b18980702330559a05ffc4eadd07a68e2ee ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary CIVENGR 423 covers air pollution effects, measurement techniques, and control methods within local and global contexts. ### llm topics * Man-caused atmospheric pollution * Health, economic, and aesthetic effects of air pollution * Air pollution sources and control methods * Government roles in air pollution control ### llm skills * Evaluate health, economic, and aesthetic effects of air pollution * Measure atmospheric pollutant concentrations and determine air quality * Apply methods for air pollution source control ### llm assumed background None recorded. ### llm search phrases * air pollution measurement techniques * atmospheric pollutant concentration * air quality control methods * environmental health effects pollution ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash cf47109139c933a3210e59af9d6fa94c5eda2d0989016a18aa4c9fadbcc60207 #### course id CIVENGR 423 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 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15:55:43.033547+00:00", "course_id": "CIVENGR 423", "course_uid": "course_cc180f4a2a4bd74cb8b822f5", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "James Schauer" ], "a": 13, "ab": 4, "b": 9, "bc": 1, "c": 2, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "CIVENGR 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 423", "course_uid": "course_cc180f4a2a4bd74cb8b822f5", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "James Schauer" ], "a": 19, "ab": 5, "b": 5, "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": 30, "source_aliases": [ "CIVENGR 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 423", "course_uid": "course_cc180f4a2a4bd74cb8b822f5", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "MICHAEL OLSON" ], "a": 14, "ab": 6, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 20, "source_aliases": [ "CIVENGR 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 423", "course_uid": "course_cc180f4a2a4bd74cb8b822f5", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "MICHAEL OLSON" ], "a": 12, "ab": 7, "b": 6, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "CIVENGR 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 423", "course_uid": "course_cc180f4a2a4bd74cb8b822f5", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "MICHAEL OLSON" ], "a": 5, "ab": 21, "b": 5, "bc": 4, "c": 2, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 38, "source_aliases": [ "CIVENGR 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 423", "course_uid": "course_cc180f4a2a4bd74cb8b822f5", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "MICHAEL OLSON" ], "a": 5, "ab": 14, "b": 15, "bc": 2, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 39, "source_aliases": [ "CIVENGR 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 423", "course_uid": "course_cc180f4a2a4bd74cb8b822f5", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "MICHAEL OLSON" ], "a": 7, "ab": 12, "b": 4, "bc": 3, "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": 26, "source_aliases": [ "CIVENGR 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 423", "course_uid": "course_cc180f4a2a4bd74cb8b822f5", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "MICHAEL OLSON" ], "a": 13, "ab": 21, "b": 4, "bc": 2, "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": 41, "source_aliases": [ "CIVENGR 423" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 423", "course_uid": "course_cc180f4a2a4bd74cb8b822f5", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "MICHAEL OLSON" ], "a": 9, "ab": 17, "b": 6, "bc": 3, "c": 1, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 39, "source_aliases": [ "CIVENGR 423" ] } ] ``` ### statistics #### gpa 3.48 #### graded 455 #### counts * 168 * 161 * 92 * 20 * 10 * 2 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_cc180f4a2a4bd74cb8b822f5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_cc180f4a2a4bd74cb8b822f5-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_cc180f4a2a4bd74cb8b822f5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_cc180f4a2a4bd74cb8b822f5-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_cc180f4a2a4bd74cb8b822f5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_cc180f4a2a4bd74cb8b822f5-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.4802197802197803 #### count 455 #### university ##### size 4488 ##### gpa Percentile 26 ##### count Percentile 77 ##### median Count 152 ##### 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 | 344 | false | | 3.2–3.6 | 1315 | true | | 3.6–4.0 | 2815 | false | #### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 77, "gpaPercentile": 34, "countPercentile": 82, "medianCount": 131, "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": 27, "current": true }, { "range": "3.6–4.0", "count": 42, "current": false } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.5 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1084 ##### term 1084 ##### gpa 3.55 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1094 ##### term 1094 ##### gpa 3.4705882352941178 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1104 ##### term 1104 ##### gpa 3.4743589743589745 ##### count 39 ##### university ###### size 793 ###### gpa Percentile 58 ###### count Percentile 20 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | false | | 3.2–3.6 | 294 | true | | 3.6–4.0 | 241 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 17, "gpaPercentile": 69, "countPercentile": 19, "medianCount": 43, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 3.5869565217391304 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1124 ##### term 1124 ##### gpa 3.75 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1134 ##### term 1134 ##### gpa 3.761904761904762 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1144 ##### term 1144 ##### gpa 3.5 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1154 ##### term 1154 ##### gpa 3.3823529411764706 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1164 ##### term 1164 ##### gpa 3.316666666666667 ##### count 30 ##### university ###### size 965 ###### gpa Percentile 36 ###### count Percentile 0 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 18, "gpaPercentile": 59, "countPercentile": 0, "medianCount": 61, "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": 3, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.7 ##### count 30 ##### university ###### size 955 ###### gpa Percentile 70 ###### count Percentile 0 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | true | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 21, "gpaPercentile": 70, "countPercentile": 0, "medianCount": 59, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.85 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1204 ##### term 1204 ##### gpa 3.62 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1224 ##### term 1224 ##### gpa 3.25 ##### count 38 ##### university ###### size 1171 ###### gpa Percentile 19 ###### count Percentile 18 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 16, "gpaPercentile": 33, "countPercentile": 27, "medianCount": 49, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.236842105263158 ##### count 38 ##### university ###### size 1188 ###### gpa Percentile 17 ###### count Percentile 17 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 14, "gpaPercentile": 23, "countPercentile": 23, "medianCount": 41.5, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.4423076923076925 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1254 ##### term 1254 ##### gpa 3.524390243902439 ##### count 41 ##### university ###### size 1289 ###### gpa Percentile 34 ###### count Percentile 23 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 19, "gpaPercentile": 56, "countPercentile": 22, "medianCount": 46, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.263157894736842 ##### count 38 ##### university ###### size 1283 ###### gpa Percentile 15 ###### count Percentile 16 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 21, "gpaPercentile": 15, "countPercentile": 10, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4488 ###### gpa 3.653136517942225 ###### top Share 81.42600701475565 ###### count 152 ##### CIVENGR ###### size 77 ###### gpa 3.5922660148341783 ###### top Share 76.79364818400805 ###### count 131 #### terms ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### CIVENGR ###### size 10 ###### gpa 3.1178276709660984 ###### top Share 45.356488236349094 ###### count 43 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### CIVENGR ###### size 15 ###### gpa 3.2526611351772896 ###### top Share 54.00496377565016 ###### count 48 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### CIVENGR ###### size 17 ###### gpa 3.251328628457445 ###### top Share 52.15473961830104 ###### count 43 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### CIVENGR ###### size 13 ###### gpa 3.2147516091230894 ###### top Share 51.24096246642488 ###### count 57 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### CIVENGR ###### size 15 ###### gpa 3.2935644535073823 ###### top Share 53.66015906396434 ###### count 59 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### CIVENGR ###### size 15 ###### gpa 3.250294749035559 ###### top Share 54.113161717090016 ###### count 61 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### CIVENGR ###### size 15 ###### gpa 3.2556009065029548 ###### top Share 56.196325544888936 ###### count 56 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### CIVENGR ###### size 16 ###### gpa 3.295463500578994 ###### top Share 55.46476198978767 ###### count 56.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### CIVENGR ###### size 18 ###### gpa 3.3634893744798204 ###### top Share 59.81152220854483 ###### count 61 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### CIVENGR ###### size 21 ###### gpa 3.4471467371588043 ###### top Share 65.34015451804262 ###### count 59 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### CIVENGR ###### size 14 ###### gpa 3.3770127572095836 ###### top Share 62.045926316251816 ###### count 56 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 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size 19 ###### gpa 3.501755911121444 ###### top Share 71.4094131799063 ###### count 46 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### CIVENGR ###### size 21 ###### gpa 3.55545513949179 ###### top Share 75.0908671021143 ###### count 53 ## instructor Trends ```json [ { "uid": "instructor_a294744018722924604433d2", "name": "JAMES SCHAUER", "count": 229, "terms": [ { "term": "1074", "count": 11, "sections": 1, "gpa": 3.5 }, { "term": "1084", "count": 10, "sections": 1, "gpa": 3.55 }, { "term": "1094", "count": 17, "sections": 1, "gpa": 3.4705882352941178 }, { "term": "1104", "count": 39, "sections": 1, "gpa": 3.4743589743589745 }, { "term": "1114", "count": 23, "sections": 1, "gpa": 3.5869565217391304 }, { "term": "1124", "count": 20, "sections": 1, "gpa": 3.75 }, { "term": "1134", "count": 21, "sections": 1, "gpa": 3.761904761904762 }, { "term": "1144", "count": 11, "sections": 3, "gpa": 3.5 }, { "term": 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