# ENVIRST/GEOG 333: Green Urbanism | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ENVIRST_GEOG_333) ## 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 4e47fb37b776e3d0b5818703d758bc7d7ed9605dd95e644de8aa58b59b8daf38 ### course id ENVIRST/GEOG 333 ### course uid course\_1a110db7a4205aec06fedb8b ### catalog version id 53bd7f42def6ad0f2b9c3e40400cc4315e6d63f65f48e5d15c75e2313b72d480 ### course number 333 ### subjects * ENVIRST * GEOG ### title GREEN URBANISM ### description Over half of the world's population now lives in urban areas, with an expected increase of 2.5 billion people in the next 30 years. As urbanization (broadly defined as the conversion of previously undeveloped lands into urbanized uses) continues and intensifies, we are faced with a number of environmental issues, for instance, fragmentation and destruction of habitats, and decreased air and water quality. Explore how urbanization impacts ecological processes and resulting environmental outcomes, strategies for "designing with nature," and behavioral, planning, and policy responses to urban environmental problems. ### requirements text Sophomore standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id e6b2b110e55b6866a5484967ae42795a2d519d7d6eca4638d1deef3da049df4e ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary GREEN URBANISM explores urbanization's impact on ecological processes and environmental outcomes, focusing on 'designing with nature' strategies and policy responses. ### llm topics * Urbanization and land conversion * Habitat fragmentation and environmental quality issues * Designing with nature strategies * Behavioral, planning, and policy responses ### llm skills * Analyze impacts of urbanization on ecological processes and environmental outcomes * Evaluate strategies for designing with nature and policy responses to urban environmental problems ### llm assumed background None recorded. ### llm search phrases * urbanization environmental impact * green urbanism strategies * urban ecology policy * designing with nature ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash cb132d4f0cede9edd7401a91594811a5924f26f350c547408f78a36f7ad66fc6 #### course id ENVIRST/GEOG 333 #### 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 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.72 GPA, 77.8% A/AB (n=36 letter grades); Spring 2025: 3.61 GPA, 82.0% A/AB (n=50 letter grades); Spring 2026: 3.55 GPA, 77.3% A/AB (n=66 letter grades). ```json { "citations": [ { "course_id": "ENVIRST/GEOG 333", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "39ac42fe-ee98-3ee8-a96d-02b3896aab54", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ENVIRST/GEOG 333", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "39ac42fe-ee98-3ee8-a96d-02b3896aab54", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ENVIRST/GEOG 333", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "39ac42fe-ee98-3ee8-a96d-02b3896aab54", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Sophomore standing", "course": null, "evidence": "Sophomore standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_3a75a72d5c885f36f3346bba", "source": "madgrades", "source_instructor_id": "4161661", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ASLIGUL GOCMEN", "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": 3.718, "graded": 492, "counts": [ 338, 85, 42, 12, 12, 0, 3 ], "sections": 73 }, "instructor_url": "/instructors/ASLIGUL_GOCMEN--instructor_3a75a72d5c885f36f3346bba" }, { "instructor_uid": "instructor_90f6b4d84bef804e9a11ea4d", "source": "madgrades", "source_instructor_id": "6285887", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SAMTO WONGSO", "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": 3.516, "graded": 490, "counts": [ 268, 109, 46, 29, 26, 7, 5 ], "sections": 2 }, "instructor_url": "/instructors/SAMTO_WONGSO--instructor_90f6b4d84bef804e9a11ea4d" }, { "instructor_uid": "instructor_bf9a6823872a2380c73609d9", "source": "madgrades", "source_instructor_id": "6549194", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RUSAL FERUS", "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": 3.743, "graded": 101, "counts": [ 81, 9, 5, 3, 0, 0, 3 ], "sections": 3 }, "instructor_url": "/instructors/RUSAL_FERUS--instructor_bf9a6823872a2380c73609d9" }, { "instructor_uid": "instructor_ac90fc951b746019576bbe75", "source": "madgrades", "source_instructor_id": "5591086", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CARLY WINNER", "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": 3.553, "graded": 66, "counts": [ 47, 4, 8, 1, 3, 0, 3 ], "sections": 1 }, "instructor_url": "/instructors/CARLY_WINNER" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST/GEOG 333", "course_uid": "course_1a110db7a4205aec06fedb8b", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Asligul Gocmen" ], "a": 25, "ab": 5, "b": 0, "bc": 5, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 38, "source_aliases": [ "ENVIRST/GEOG 333" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST/GEOG 333", "course_uid": "course_1a110db7a4205aec06fedb8b", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Asligul Gocmen" ], "a": 25, "ab": 3, "b": 7, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 40, "source_aliases": [ "ENVIRST/GEOG 333" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST/GEOG 333", "course_uid": "course_1a110db7a4205aec06fedb8b", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "RUSAL FERUS", "SAMTO WONGSO" ], "a": 34, "ab": 7, "b": 5, "bc": 2, "c": 0, "d": 0, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 50, "source_aliases": [ "ENVIRST/GEOG 333" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST/GEOG 333", "course_uid": "course_1a110db7a4205aec06fedb8b", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Asligul Gocmen", "CARLY WINNER" ], "a": 47, "ab": 4, "b": 8, "bc": 1, "c": 3, "d": 0, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 67, "source_aliases": [ "ENVIRST/GEOG 333" ] } ] ``` ### statistics #### gpa 3.614 #### graded 189 #### counts * 131 * 19 * 20 * 9 * 5 * 0 * 5 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_1a110db7a4205aec06fedb8b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_1a110db7a4205aec06fedb8b-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_1a110db7a4205aec06fedb8b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_1a110db7a4205aec06fedb8b-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_1a110db7a4205aec06fedb8b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_1a110db7a4205aec06fedb8b-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.613756613756614 #### count 189 #### university ##### size 2701 ##### gpa Percentile 34 ##### count Percentile 70 ##### median Count 104 ##### 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 | 172 | false | | 3.2–3.6 | 693 | false | | 3.6–4.0 | 1823 | true | #### departments ```json [ { "subject": "ENVIRST", "comparison": { "size": 65, "gpaPercentile": 39, "countPercentile": 59, "medianCount": 148, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 18, "current": false }, { "range": "3.6–4.0", "count": 42, "current": true } ] } }, { "subject": "GEOG", "comparison": { "size": 43, "gpaPercentile": 55, "countPercentile": 64, "medianCount": 112, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 18, "current": false }, { "range": "3.6–4.0", "count": 21, "current": true } ] } } ] ``` ### terms #### 1234 ##### term 1234 ##### gpa 3.6216216216216215 ##### count 37 ##### university ###### size 1188 ###### gpa Percentile 48 ###### count Percentile 15 ###### 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": "ENVIRST", "comparison": { "size": 35, "gpaPercentile": 47, "countPercentile": 15, "medianCount": 75, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 20, "current": true } ] } }, { "subject": "GEOG", "comparison": { "size": 20, "gpaPercentile": 74, "countPercentile": 11, "medianCount": 86, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.7222222222222223 ##### count 36 ##### university ###### size 1241 ###### gpa Percentile 58 ###### count Percentile 13 ###### 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": "ENVIRST", "comparison": { "size": 40, "gpaPercentile": 62, "countPercentile": 13, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 21, "current": true } ] } }, { "subject": "GEOG", "comparison": { "size": 22, "gpaPercentile": 86, "countPercentile": 0, "medianCount": 72, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.61 ##### count 50 ##### university ###### size 1289 ###### gpa Percentile 42 ###### count Percentile 35 ###### 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": "ENVIRST", "comparison": { "size": 39, "gpaPercentile": 42, "countPercentile": 26, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 25, "current": true } ] } }, { "subject": "GEOG", "comparison": { "size": 22, "gpaPercentile": 38, "countPercentile": 33, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.553030303030303 ##### count 66 ##### university ###### size 1283 ###### gpa Percentile 34 ###### count Percentile 49 ###### 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": "ENVIRST", "comparison": { "size": 39, "gpaPercentile": 34, "countPercentile": 45, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 23, "current": false } ] } }, { "subject": "GEOG", "comparison": { "size": 24, "gpaPercentile": 48, "countPercentile": 48, "medianCount": 69.5, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 2701 ###### gpa 3.6818072807746525 ###### top Share 83.341103666219 ###### count 104 ##### ENVIRST ###### size 65 ###### gpa 3.658434006573642 ###### top Share 82.32748171084245 ###### count 148 ##### GEOG ###### size 43 ###### gpa 3.5969419686905617 ###### top Share 79.7165770815006 ###### count 112 #### terms ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### ENVIRST ###### size 35 ###### gpa 3.562190005068061 ###### top Share 74.74595421679987 ###### count 75 ###### GEOG ###### size 20 ###### gpa 3.443558312357458 ###### top Share 69.37000071893554 ###### count 86 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### ENVIRST ###### size 40 ###### gpa 3.609333958752014 ###### top Share 78.44870523269554 ###### count 71 ###### GEOG ###### size 22 ###### gpa 3.5303428750158634 ###### top Share 74.39280835537028 ###### count 72 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### ENVIRST ###### size 39 ###### gpa 3.6271091837384972 ###### top Share 80.50128090125337 ###### count 73 ###### GEOG ###### size 22 ###### gpa 3.5765534265131054 ###### top Share 77.77119788550397 ###### count 73 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### ENVIRST ###### size 39 ###### gpa 3.6234319124309753 ###### top Share 80.66171436378418 ###### count 70 ###### GEOG ###### size 24 ###### gpa 3.5370488567946716 ###### top Share 76.3701545252745 ###### count 69.5 ## instructor Trends ```json [ { "uid": "instructor_3a75a72d5c885f36f3346bba", "name": "ASLIGUL GOCMEN", "count": 139, "terms": [ { "term": "1234", "count": 37, "sections": 1, "gpa": 3.6216216216216215 }, { "term": "1244", "count": 36, "sections": 1, "gpa": 3.7222222222222223 }, { "term": "1264", "count": 66, "sections": 1, "gpa": 3.553030303030303 } ] }, { "uid": "instructor_ac90fc951b746019576bbe75", "name": "CARLY WINNER", "count": 66, "terms": [ { "term": "1264", "count": 66, "sections": 1, "gpa": 3.553030303030303 } ] }, { "uid": "instructor_90f6b4d84bef804e9a11ea4d", "name": "SAMTO WONGSO", "count": 50, "terms": [ { "term": "1254", "count": 50, "sections": 1, "gpa": 3.61 } ] }, { "uid": "instructor_bf9a6823872a2380c73609d9", "name": "RUSAL FERUS", "count": 50, "terms": [ { "term": "1254", "count": 50, "sections": 1, "gpa": 3.61 } ] } ] ``` ## following None recorded.