# CIVENGR/GLE 530: Seepage and Slopes | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CIVENGR_GLE_530) ## 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 711aa7eb774f00d9a748498264e1f7bb5ed9837b024f1dbf773de2b01f037979 ### course id CIVENGR/GLE 530 ### course uid course\_25239e1cd5c8e4c63e33e3e1 ### catalog version id e662bed4a94e33d8d3622864c62a36d9b7f7af8d7a716a7f873528f60df4df35 ### course number 530 ### subjects * CIVENGR * GLE ### title SEEPAGE AND SLOPES ### description Practical aspects of seepage effects and ground water flow. Stability of natural and man-made slopes under various loading conditions. Design and construction of earth dams and embankments. Flow net and its use; wells; filters; total and effective stress methods of slope analysis; selection of pertinent soil parameters. ### requirements text CIV ENGR/​G L E  330, graduate/professional standing, or member of Engineering Guest Students ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 171940055a70faf2152cdff24c490a078fc015319f95c53ab96c4ffed4175352 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary CIVENGR/GLE 530: SEEPAGE AND SLOPES covers practical seepage, groundwater flow, and slope stability design for earth dams and embankments. ### llm topics * Seepage effects and groundwater flow. * Stability of natural and man-made slopes under various loading conditions. * Flow nets, wells, and filters. ### llm skills * Design and construction of earth dams and embankments. * Application of total and effective stress methods for slope analysis. * Selection of pertinent soil parameters for engineering analysis. ### llm assumed background * Foundations in soil mechanics, including permeability, seepage, and slope stability principles. ### llm search phrases * seepage effects groundwater flow * slope stability analysis * earth dam design embankment * flow net wells filters * total effective stress slope analysis ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 23743ac4f5194fdf5096ca874f5c8fa81182ff52c65bb972c4cf8894c7703619 #### course id CIVENGR/GLE 530 #### 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 — Fall 2021: 3.26 GPA, 50.0% A/AB (n=34 letter grades); Fall 2023: 3.28 GPA, 46.7% A/AB (n=30 letter grades); Fall 2025: 3.40 GPA, 66.7% A/AB (n=15 letter grades). ```json { "citations": [ { "course_id": "CIVENGR/GLE 530", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6eb400ff-7c74-3675-879a-860d419fcb14", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "CIVENGR/GLE 530", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6eb400ff-7c74-3675-879a-860d419fcb14", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "CIVENGR/GLE 530", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": 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"20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/GLE 530", "course_uid": "course_25239e1cd5c8e4c63e33e3e1", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "William Likos" ], "a": 2, "ab": 8, "b": 5, "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": 15, "source_aliases": [ "CIVENGR/GLE 530" ] } ] ``` ### statistics #### gpa 3.405 #### graded 289 #### counts * 107 * 73 * 78 * 15 * 13 * 3 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_25239e1cd5c8e4c63e33e3e1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_25239e1cd5c8e4c63e33e3e1-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_25239e1cd5c8e4c63e33e3e1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_25239e1cd5c8e4c63e33e3e1-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_25239e1cd5c8e4c63e33e3e1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_25239e1cd5c8e4c63e33e3e1-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.404844290657439 #### count 289 #### university ##### size 3913 ##### gpa Percentile 24 ##### count Percentile 72 ##### median Count 131 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 392 | false | | 3.2–3.6 | 1192 | true | | 3.6–4.0 | 2307 | false | #### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 64, "gpaPercentile": 30, "countPercentile": 79, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 21, "current": true }, { "range": "3.6–4.0", "count": 35, "current": false } ] } }, { "subject": "GLE", "comparison": { "size": 17, "gpaPercentile": 50, "countPercentile": 75, "medianCount": 108, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.6666666666666665 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GLE | | #### 1084 ##### term 1084 ##### gpa 3.34375 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GLE | | #### 1102 ##### term 1102 ##### gpa 3.40625 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GLE | | #### 1114 ##### term 1114 ##### gpa 3.1904761904761907 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GLE | | #### 1132 ##### term 1132 ##### gpa 3.767857142857143 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GLE | | #### 1142 ##### term 1142 ##### gpa 3.403225806451613 ##### count 31 ##### university ###### size 853 ###### gpa Percentile 52 ###### count Percentile 2 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | true | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 16, "gpaPercentile": 73, "countPercentile": 0, "medianCount": 48, "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": 6, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "GLE", "comparison": null } ] ``` #### 1162 ##### term 1162 ##### gpa 3.533333333333333 ##### count 30 ##### university ###### size 954 ###### gpa Percentile 57 ###### count Percentile 0 ###### median Count 64.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 350 | true | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 20, "gpaPercentile": 63, "countPercentile": 0, "medianCount": 48.5, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "GLE", "comparison": null } ] ``` #### 1182 ##### term 1182 ##### gpa 3.6379310344827585 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GLE | | #### 1202 ##### term 1202 ##### gpa 3.1515151515151514 ##### count 33 ##### university ###### size 1102 ###### gpa Percentile 18 ###### count Percentile 7 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 18, "gpaPercentile": 41, "countPercentile": 0, "medianCount": 47, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "GLE", "comparison": null } ] ``` #### 1222 ##### term 1222 ##### gpa 3.264705882352941 ##### count 34 ##### university ###### size 1157 ###### gpa Percentile 20 ###### count Percentile 10 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 14, "gpaPercentile": 54, "countPercentile": 0, "medianCount": 48.5, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "GLE", "comparison": null } ] ``` #### 1242 ##### term 1242 ##### gpa 3.283333333333333 ##### count 30 ##### university ###### size 1295 ###### gpa Percentile 18 ###### count Percentile 0 ###### 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": "CIVENGR", "comparison": { "size": 15, "gpaPercentile": 29, "countPercentile": 0, "medianCount": 42, "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": 4, "current": false } ] } }, { "subject": "GLE", "comparison": null } ] ``` #### 1262 ##### term 1262 ##### gpa 3.4 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GLE | | ### benchmarks #### all ##### school ###### size 3913 ###### gpa 3.6249405418587437 ###### top Share 79.71389499746675 ###### count 131 ##### CIVENGR ###### size 64 ###### gpa 3.582678139680975 ###### top Share 75.46249722306618 ###### count 112 ##### GLE ###### size 17 ###### gpa 3.3995228345029664 ###### top Share 65.30228234409962 ###### count 108 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### CIVENGR ###### size 12 ###### gpa 3.234535707848257 ###### top Share 56.003483239192114 ###### count 41.5 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### CIVENGR ###### size 12 ###### gpa 3.1411901518679834 ###### top Share 49.25258840393271 ###### count 59 ##### 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 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### CIVENGR ###### size 17 ###### gpa 3.3004706976687763 ###### top Share 56.75994572021688 ###### count 48 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### CIVENGR ###### size 16 ###### gpa 3.2886396155776234 ###### top Share 54.80841483665826 ###### count 48 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### CIVENGR ###### size 20 ###### gpa 3.4243911367940547 ###### top Share 63.60795876355737 ###### count 48.5 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### CIVENGR ###### size 20 ###### gpa 3.3704438730419826 ###### top Share 59.663994078514406 ###### count 56.5 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### CIVENGR ###### size 18 ###### gpa 3.375685333131944 ###### top Share 58.67181863577574 ###### count 47 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### CIVENGR ###### size 14 ###### gpa 3.325129186450629 ###### top Share 55.065784552509456 ###### count 48.5 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### CIVENGR ###### size 15 ###### gpa 3.4236532475023655 ###### top Share 60.37899493571134 ###### count 42 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### CIVENGR ###### size 20 ###### gpa 3.5044360575458198 ###### top Share 67.9351957372048 ###### count 54 ## instructor Trends ```json [ { "uid": "instructor_e16557307652ab29e3da3b0d", "name": "WILLIAM LIKOS", "count": 105, "terms": [ { "term": "1142", "count": 31, "sections": 1, "gpa": 3.403225806451613 }, { "term": "1162", "count": 30, "sections": 1, "gpa": 3.533333333333333 }, { "term": "1182", "count": 29, "sections": 1, "gpa": 3.6379310344827585 }, { "term": "1262", "count": 15, "sections": 1, "gpa": 3.4 } ] }, { "uid": "instructor_b961c4707cdbed9fe464dbf9", "name": "JESSE HAMPTON", "count": 97, "terms": [ { "term": "1202", "count": 33, "sections": 1, "gpa": 3.1515151515151514 }, { "term": "1222", "count": 34, "sections": 1, "gpa": 3.264705882352941 }, { "term": "1242", "count": 30, "sections": 1, "gpa": 3.283333333333333 } ] }, { "uid": "instructor_09b678cb75b81ea324aa3c06", "name": "TUNCER EDIL", "count": 87, "terms": [ { "term": "1072", "count": 6, "sections": 1, "gpa": 3.6666666666666665 }, { "term": "1084", "count": 16, "sections": 1, "gpa": 3.34375 }, { "term": "1102", "count": 16, "sections": 1, "gpa": 3.40625 }, { "term": "1114", "count": 21, "sections": 1, "gpa": 3.1904761904761907 }, { "term": "1132", "count": 28, "sections": 1, "gpa": 3.767857142857143 } ] } ] ``` ## following | code | title | | ----------- | ----------------------------- | | CIVENGR 578 | SENIOR CAPSTONE DESIGN | | GLE 479 | GEOLOGICAL ENGINEERING DESIGN |