# CIVENGR/GEOSCI/GLE/MS\&E 474: Rock Mechanics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CIVENGR_GEOSCI_GLE_MS%26E_474) ## 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 1bcfb6a7b664b6eb5356c039dabcbd11b89648c45991f745275727f8742d6376 ### course id CIVENGR/GEOSCI/GLE/MS\&E 474 ### course uid course\_610868f9b9d0393c375e3742 ### catalog version id f2a33f3f9d6fd62b645aec9def9285a9fed8da367cc9405f0543b599dddaf805 ### course number 474 ### subjects * CIVENGR * GEOSCI * GLE * MS\&E ### title ROCK MECHANICS ### description Classification of rock masses, stress and strain in rock, linear and non-linear behavior of rock, failure mechanisms, state of stress in rock masses, lab testing, geological and engineering applications. ### requirements text E M A 201,PHYSICS 201,207, or247, or graduate/professional standing, or member of Engineering Guest Students ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id ffffedea216eee95b6116227b4371e6dc9702c9f1571dfbc3dbdccc4fdd35ac7 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Rock Mechanics covers rock mass classification, stress/strain behavior, failure mechanisms, and lab testing for geological and engineering applications. ### llm topics * Rock mass classification * Stress and strain in rock * Failure mechanisms * Lab testing ### llm skills * Classifying rock masses and analyzing stress, strain, and failure mechanisms. ### llm assumed background * Foundational knowledge in mechanics, statics, and calculus-based physics. ### llm search phrases * rock mechanics engineering * geomechanics stress strain * rock mass classification * civil engineering rock failure ### llm requirements status invalid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash fe1c68acd1977aa88c83e4e8018f5d510fb05426ad93a2dd8668f8c8740d5099 #### course id CIVENGR/GEOSCI/GLE/MS\&E 474 #### 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: 3.31 GPA, 50.0% A/AB (n=8 letter grades); Spring 2025: 3.00 GPA, 50.0% A/AB (n=6 letter grades); Spring 2026: 3.21 GPA, 42.9% A/AB (n=7 letter grades). ```json { "citations": [ { "course_id": "CIVENGR/GEOSCI/GLE/MS&E 474", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "788aa50c-ff85-36fd-984f-b82b71a50080", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "CIVENGR/GEOSCI/GLE/MS&E 474", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": 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"instructors": [ "Hiroki Sone" ], "a": 12, "ab": 9, "b": 18, "bc": 3, "c": 0, "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": 43, "source_aliases": [ "CIVENGR/GEOSCI/GLE/MS&E 474" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/GEOSCI/GLE/MS&E 474", "course_uid": "course_610868f9b9d0393c375e3742", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Hiroki Sone" ], "a": 10, "ab": 13, "b": 20, "bc": 0, "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": 44, "source_aliases": [ "CIVENGR/GEOSCI/GLE/MS&E 474" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/GEOSCI/GLE/MS&E 474", "course_uid": "course_610868f9b9d0393c375e3742", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Hiroki Sone" ], "a": 5, "ab": 7, "b": 9, "bc": 1, "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": 23, "source_aliases": [ "CIVENGR/GEOSCI/GLE/MS&E 474" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/GEOSCI/GLE/MS&E 474", "course_uid": "course_610868f9b9d0393c375e3742", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Hiroki Sone" ], "a": 5, "ab": 3, "b": 5, "bc": 2, "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/GEOSCI/GLE/MS&E 474" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/GEOSCI/GLE/MS&E 474", "course_uid": "course_610868f9b9d0393c375e3742", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Hiroki Sone" ], "a": 3, "ab": 9, "b": 9, "bc": 2, "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": 23, "source_aliases": [ "CIVENGR/GEOSCI/GLE/MS&E 474" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/GEOSCI/GLE/MS&E 474", "course_uid": "course_610868f9b9d0393c375e3742", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Hiroki Sone" ], "a": 3, "ab": 3, "b": 4, "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": 10, "source_aliases": [ "CIVENGR/GEOSCI/GLE/MS&E 474" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/GEOSCI/GLE/MS&E 474", "course_uid": "course_610868f9b9d0393c375e3742", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Jesse Hampton" ], "a": 3, "ab": 1, "b": 3, "bc": 0, "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": 8, "source_aliases": [ "CIVENGR/GEOSCI/GLE/MS&E 474" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/GEOSCI/GLE/MS&E 474", "course_uid": "course_610868f9b9d0393c375e3742", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Hiroki Sone" ], "a": 1, "ab": 2, "b": 2, "bc": 0, "c": 0, "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": 6, "source_aliases": [ "CIVENGR/GEOSCI/GLE/MS&E 474" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR/GEOSCI/GLE/MS&E 474", "course_uid": "course_610868f9b9d0393c375e3742", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Jesse Hampton" ], "a": 0, "ab": 3, "b": 4, "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": 7, "source_aliases": [ "CIVENGR/GEOSCI/GLE/MS&E 474" ] } ] ``` ### statistics #### gpa 3.37 #### graded 408 #### counts * 120 * 118 * 133 * 26 * 7 * 4 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_610868f9b9d0393c375e3742-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_610868f9b9d0393c375e3742-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_610868f9b9d0393c375e3742-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_610868f9b9d0393c375e3742-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_610868f9b9d0393c375e3742-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_610868f9b9d0393c375e3742-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.3700980392156863 #### count 408 #### university ##### size 4620 ##### gpa Percentile 18 ##### count Percentile 74 ##### median Count 158.5 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 361 | false | | 3.2–3.6 | 1341 | true | | 3.6–4.0 | 2898 | false | #### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 79, "gpaPercentile": 23, "countPercentile": 79, "medianCount": 115, "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": 27, "current": true }, { "range": "3.6–4.0", "count": 43, "current": false } ] } }, { "subject": "GEOSCI", "comparison": { "size": 35, "gpaPercentile": 53, "countPercentile": 65, "medianCount": 209, "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": 19, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "GLE", "comparison": { "size": 22, "gpaPercentile": 43, "countPercentile": 71, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "MS&E", "comparison": { "size": 35, "gpaPercentile": 26, "countPercentile": 74, "medianCount": 130, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.7857142857142856 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GEOSCI | | | GLE | | | MS\&E | | #### 1082 ##### term 1082 ##### gpa 3 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GEOSCI | | | GLE | | | MS\&E | | #### 1092 ##### term 1092 ##### gpa 3.55 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GEOSCI | | | GLE | | | MS\&E | | #### 1104 ##### term 1104 ##### gpa 3.6875 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GEOSCI | | | GLE | | | MS\&E | | #### 1114 ##### term 1114 ##### gpa 3.6153846153846154 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GEOSCI | | | GLE | | | MS\&E | | #### 1124 ##### term 1124 ##### gpa 3.5681818181818183 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GEOSCI | | | GLE | | | MS\&E | | #### 1134 ##### term 1134 ##### gpa 3.5384615384615383 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GEOSCI | | | GLE | | | MS\&E | | #### 1144 ##### term 1144 ##### gpa 3.5454545454545454 ##### count 44 ##### university ###### size 878 ###### gpa Percentile 62 ###### 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 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | true | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 15, "gpaPercentile": 64, "countPercentile": 14, "medianCount": 56, "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": 1, "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": 2, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "GEOSCI", "comparison": { "size": 11, "gpaPercentile": 90, "countPercentile": 20, "medianCount": 80, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 2, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "GLE", "comparison": null }, { "subject": "MS&E", "comparison": null } ] ``` #### 1154 ##### term 1154 ##### gpa 3.3 ##### count 50 ##### university ###### size 935 ###### gpa Percentile 38 ###### count Percentile 36 ###### median Count 63 ###### 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 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | true | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 16, "gpaPercentile": 60, "countPercentile": 20, "medianCount": 56.5, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "GEOSCI", "comparison": { "size": 13, "gpaPercentile": 75, "countPercentile": 17, "medianCount": 80, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "GLE", "comparison": null }, { "subject": "MS&E", "comparison": { "size": 11, "gpaPercentile": 30, "countPercentile": 80, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 2.985294117647059 ##### count 34 ##### university ###### size 965 ###### gpa Percentile 10 ###### count Percentile 8 ###### 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 | true | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 18, "gpaPercentile": 12, "countPercentile": 12, "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": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "GEOSCI", "comparison": { "size": 14, "gpaPercentile": 15, "countPercentile": 0, "medianCount": 73.5, "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": 11, "current": true }, { "range": "3.2–3.6", "count": 0, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "GLE", "comparison": null }, { "subject": "MS&E", "comparison": { "size": 11, "gpaPercentile": 10, "countPercentile": 30, "medianCount": 40, "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": 3, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.302325581395349 ##### count 43 ##### university ###### size 955 ###### gpa Percentile 35 ###### 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 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | true | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 21, "gpaPercentile": 40, "countPercentile": 30, "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": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "GEOSCI", "comparison": { "size": 11, "gpaPercentile": 80, "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": 0, "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": 0, "current": false } ] } }, { "subject": "GLE", "comparison": null }, { "subject": "MS&E", "comparison": { "size": 11, "gpaPercentile": 20, "countPercentile": 30, "medianCount": 51, "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": 6, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.352272727272727 ##### count 44 ##### university ###### size 1010 ###### gpa Percentile 35 ###### count Percentile 25 ###### 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 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 18, "gpaPercentile": 47, "countPercentile": 18, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "GEOSCI", "comparison": { "size": 11, "gpaPercentile": 80, "countPercentile": 0, "medianCount": 94, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "GLE", "comparison": null }, { "subject": "MS&E", "comparison": { "size": 11, "gpaPercentile": 30, "countPercentile": 20, "medianCount": 50, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.3043478260869565 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GEOSCI | | | GLE | | | MS\&E | | #### 1204 ##### term 1204 ##### gpa 3.3666666666666667 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GEOSCI | | | GLE | | | MS\&E | | #### 1224 ##### term 1224 ##### gpa 3.282608695652174 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GEOSCI | | | GLE | | | MS\&E | | #### 1234 ##### term 1234 ##### gpa 3.45 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GEOSCI | | | GLE | | | MS\&E | | #### 1244 ##### term 1244 ##### gpa 3.3125 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GEOSCI | | | GLE | | | MS\&E | | #### 1254 ##### term 1254 ##### gpa 3 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GEOSCI | | | GLE | | | MS\&E | | #### 1264 ##### term 1264 ##### gpa 3.2142857142857144 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | | GEOSCI | | | GLE | | | MS\&E | | ### benchmarks #### all ##### school ###### size 4620 ###### gpa 3.650429327687111 ###### top Share 81.26226678863735 ###### count 158.5 ##### CIVENGR ###### size 79 ###### gpa 3.5805079009825467 ###### top Share 76.22298908528964 ###### count 115 ##### GEOSCI ###### size 35 ###### gpa 3.382885776096583 ###### top Share 64.36731774086913 ###### count 209 ##### GLE ###### size 22 ###### gpa 3.44479557572335 ###### top Share 67.0016648159785 ###### count 143 ##### MS\&E ###### size 35 ###### gpa 3.5423916911153146 ###### top Share 74.024105361934 ###### count 130 #### 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 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### CIVENGR ###### size 10 ###### gpa 3.160075118089796 ###### top Share 48.620182513178 ###### count 47 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### CIVENGR ###### size 12 ###### gpa 3.2276419075608875 ###### top Share 55.065936658227365 ###### count 49 ##### 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 ###### GEOSCI ###### size 10 ###### gpa 3.089237199204707 ###### top Share 45.43328180077456 ###### count 91 ##### 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 ###### GEOSCI ###### size 11 ###### gpa 3.1601253454941385 ###### top Share 51.857516870675866 ###### count 80 ##### 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 ###### GEOSCI ###### size 13 ###### gpa 3.1646553658694145 ###### top Share 50.11318388589153 ###### count 80 ###### MS\&E ###### size 11 ###### gpa 3.5145757581888515 ###### top Share 70.38130382637519 ###### count 46 ##### 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 ###### GEOSCI ###### size 14 ###### gpa 3.2137820985544794 ###### top Share 49.20560075234573 ###### count 73.5 ###### MS\&E ###### size 11 ###### gpa 3.4028768958365343 ###### top Share 63.66182482505645 ###### count 40 ##### 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 ###### GEOSCI ###### size 11 ###### gpa 3.1584797032853653 ###### top Share 50.14301045566438 ###### count 72 ###### MS\&E ###### size 11 ###### gpa 3.4183419793517715 ###### top Share 65.22519862516639 ###### count 51 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### CIVENGR ###### size 18 ###### gpa 3.421867094736658 ###### top Share 61.551780878585745 ###### count 53 ###### GEOSCI ###### size 11 ###### gpa 3.1425506343723693 ###### top Share 48.82893340583678 ###### count 94 ###### MS\&E ###### size 11 ###### gpa 3.480073287611857 ###### top Share 71.78096632966648 ###### count 50 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### CIVENGR ###### size 16 ###### gpa 3.468224629784374 ###### top Share 64.49032891306767 ###### count 52.5 ###### GEOSCI ###### size 12 ###### gpa 3.20054210725147 ###### top Share 55.586944980657215 ###### count 89 ###### MS\&E ###### size 11 ###### gpa 3.545359918883645 ###### top Share 75.77710468297047 ###### count 49 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### CIVENGR ###### size 14 ###### gpa 3.6226484761288438 ###### top Share 74.92079071686926 ###### count 50.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### CIVENGR ###### size 16 ###### gpa 3.3736940778308147 ###### top Share 59.481413128188514 ###### count 49 ###### MS\&E ###### size 10 ###### gpa 3.576880199074966 ###### top Share 76.2136436133529 ###### count 38 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### CIVENGR ###### size 14 ###### gpa 3.4665052233829408 ###### top Share 67.99195870574239 ###### count 41.5 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### CIVENGR ###### size 16 ###### gpa 3.456816669430672 ###### top Share 66.26021622206142 ###### count 46.5 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### CIVENGR ###### size 19 ###### gpa 3.501755911121444 ###### top Share 71.4094131799063 ###### count 46 ###### GEOSCI ###### size 11 ###### gpa 3.4683975607136763 ###### top Share 71.36857364724828 ###### count 86 ##### 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_2a9f6efc425cad0908dd69da", "name": "HIROKI SONE", "count": 198, "terms": [ { "term": "1164", "count": 34, "sections": 1, "gpa": 2.985294117647059 }, { "term": "1174", "count": 43, "sections": 1, "gpa": 3.302325581395349 }, { "term": "1184", "count": 44, "sections": 1, "gpa": 3.352272727272727 }, { "term": "1194", "count": 23, "sections": 1, "gpa": 3.3043478260869565 }, { "term": "1204", "count": 15, "sections": 1, "gpa": 3.3666666666666667 }, { "term": "1224", "count": 23, "sections": 1, "gpa": 3.282608695652174 }, { "term": "1234", "count": 10, "sections": 1, "gpa": 3.45 }, { "term": "1254", "count": 6, "sections": 1, "gpa": 3 } ] }, { "uid": "instructor_a40e65ac3c8b0f7345ba42c5", "name": "HERBERT WANG", "count": 171, "terms": [ { "term": "1104", "count": 16, "sections": 1, "gpa": 3.6875 }, { "term": "1114", "count": 13, "sections": 1, "gpa": 3.6153846153846154 }, { "term": "1124", "count": 22, "sections": 1, "gpa": 3.5681818181818183 }, { "term": "1134", "count": 26, "sections": 1, "gpa": 3.5384615384615383 }, { "term": "1144", "count": 44, "sections": 1, "gpa": 3.5454545454545454 }, { "term": "1154", "count": 50, "sections": 1, "gpa": 3.3 } ] }, { "uid": "instructor_878bef838e9edcf5d32491e7", "name": "CHELSEA POTIER", "count": 44, "terms": [ { "term": "1144", "count": 44, "sections": 1, "gpa": 3.5454545454545454 } ] }, { "uid": "instructor_1ce3924e8e193fde030ff5fc", "name": "XIAODONG MA", "count": 22, "terms": [ { "term": "1124", "count": 22, "sections": 1, "gpa": 3.5681818181818183 } ] }, { "uid": "instructor_c4d51475c82d0c38403bab22", "name": "DAVID HART", "count": 17, "terms": [ { "term": "1082", "count": 7, "sections": 1, "gpa": 3 }, { "term": "1092", "count": 10, "sections": 1, "gpa": 3.55 } ] }, { "uid": "instructor_0e94d47a7fbf76c83b2352ee", "name": "JOANN REBECCA GAGE", "count": 16, "terms": [ { "term": "1104", "count": 16, "sections": 1, "gpa": 3.6875 } ] }, { "uid": "instructor_b961c4707cdbed9fe464dbf9", "name": "JESSE HAMPTON", "count": 15, "terms": [ { "term": "1244", "count": 8, "sections": 1, "gpa": 3.3125 }, { "term": "1264", "count": 7, "sections": 1, "gpa": 3.2142857142857144 } ] }, { "uid": "instructor_f6c47dbe4814bd958377aeb4", "name": "BEZALEL C HAIMSON", "count": 7, "terms": [ { "term": "1072", "count": 7, "sections": 1, "gpa": 3.7857142857142856 } ] } ] ``` ## following | code | title | | --------------- | ------------------------------------------------ | | CIVENGR/GLE 434 | INTRODUCTION TO UNDERGROUND OPENINGS ENGINEERING | | GEOSCI/GLE 596 | GEOMECHANICS |