# MS\&E 331: Transport Phenomena in Materials | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MS%26E_331) ## 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 bc25fcd5bc3ea98a76e8aa3f1b1bd81fc828a98956b166749b8312df4d54fc8f ### course id MS\&E 331 ### course uid course\_98230480db5c1dbc795fb354 ### catalog version id 9cadcd144c966f1dde6576fce7a9e53840154c60673a672f77d2bd6aefb8f514 ### course number 331 ### subjects * MS\&E ### title TRANSPORT PHENOMENA IN MATERIALS ### description Basic principles of fluid flow, heat transfer and diffusion are introduced. Examples relevant to design and processing of materials including metals, semiconductors, glasses, polymers, and ceramics are given. ### requirements text M S & E 330and (MATH 319,320,376, or concurrent enrollment), or member of Engineering Guest Students ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 5d5ec998e0520de1bfdd3a9b6782580769a15b44840e1990c36d9ae41c792c9d ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MS\&E 331 introduces transport phenomena principles and their application to materials design and processing. ### llm topics * Fluid flow, heat transfer, and diffusion * Materials design and processing ### llm skills * Understanding basic principles of fluid flow, heat transfer, and diffusion. * Applying transport principles to materials design and processing. ### llm assumed background * Prerequisites in thermodynamics of materials and advanced calculus/differential equations (MATH 319, 320, or 376). ### llm search phrases * transport phenomena materials * fluid flow heat transfer diffusion MS\&E * materials processing thermodynamics ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash a1b9c83ff4575e1492f586a1929daada53edfae93d8700d337c5177088cd8dfe #### course id MS\&E 331 #### 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: 3.00 GPA, 40.0% A/AB (n=25 letter grades); Spring 2025: 3.08 GPA, 41.7% A/AB (n=24 letter grades); Spring 2026: 3.00 GPA, 27.8% A/AB (n=18 letter grades). ```json { "citations": [ { "course_id": "MS&E 331", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e71b2b60-12a6-3a7c-a0bf-0e9f3b97d346", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MS&E 331", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e71b2b60-12a6-3a7c-a0bf-0e9f3b97d346", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MS&E 331", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e71b2b60-12a6-3a7c-a0bf-0e9f3b97d346", "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": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "M S & E 330and (MATH 319,320,376, or concurrent enrollment), or member of Engineering Guest Students", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "M S & E 330and (MATH 319,320,376, or concurrent enrollment)", "id": "n1", "kind": "all" }, { "children": [], "condition": "member of Engineering Guest Students", "course": null, "evidence": "member of Engineering Guest Students", "id": "n2", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 330, "minimum_grade": null, "subjects": [ "MS&E" ], "timing": "prior" }, "evidence": "M S & E 330", "id": "n3", "kind": "course" }, { "children": [ "n5", "n6", "n7", "n8" ], 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"course_uid": "course_98230480db5c1dbc795fb354", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "Michael Arnold" ], "a": 13, "ab": 10, "b": 21, "bc": 11, "c": 7, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 64, "source_aliases": [ "MS&E 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 331", "course_uid": "course_98230480db5c1dbc795fb354", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Donald Stone", "OMER SADAK" ], "a": 11, "ab": 18, "b": 18, "bc": 1, "c": 3, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 52, "source_aliases": [ "MS&E 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 331", "course_uid": "course_98230480db5c1dbc795fb354", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Michael Arnold" ], "a": 8, "ab": 10, "b": 15, "bc": 8, "c": 8, "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": 49, "source_aliases": [ "MS&E 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 331", "course_uid": "course_98230480db5c1dbc795fb354", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Michael Arnold" ], "a": 9, "ab": 3, "b": 15, "bc": 1, "c": 1, "d": 0, "f": 1, "satisfactory": 3, "unsatisfactory": 1, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 34, "source_aliases": [ "MS&E 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 331", "course_uid": "course_98230480db5c1dbc795fb354", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Michael Arnold" ], "a": 6, "ab": 11, "b": 5, "bc": 6, "c": 5, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 35, "source_aliases": [ "MS&E 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 331", "course_uid": "course_98230480db5c1dbc795fb354", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Michael Arnold" ], "a": 7, "ab": 9, "b": 10, "bc": 3, "c": 3, "d": 1, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 35, "source_aliases": [ "MS&E 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 331", "course_uid": "course_98230480db5c1dbc795fb354", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Michael Arnold" ], "a": 7, "ab": 3, "b": 8, "bc": 1, "c": 4, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 25, "source_aliases": [ "MS&E 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 331", "course_uid": "course_98230480db5c1dbc795fb354", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Michael Arnold" ], "a": 7, "ab": 3, "b": 6, "bc": 5, "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": 24, "source_aliases": [ "MS&E 331" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MS&E 331", "course_uid": "course_98230480db5c1dbc795fb354", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Michael Arnold" ], "a": 3, "ab": 2, "b": 9, "bc": 2, "c": 1, "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": 18, "source_aliases": [ "MS&E 331" ] } ] ``` ### statistics #### gpa 3.088 #### graded 575 #### counts * 124 * 113 * 193 * 68 * 63 * 9 * 5 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_98230480db5c1dbc795fb354-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_98230480db5c1dbc795fb354-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_98230480db5c1dbc795fb354-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_98230480db5c1dbc795fb354-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_98230480db5c1dbc795fb354-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_98230480db5c1dbc795fb354-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.0878260869565217 #### count 575 #### university ##### size 4298 ##### gpa Percentile 4 ##### count Percentile 79 ##### median Count 170 ##### 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 | 12 | false | | 2.8–3.2 | 316 | true | | 3.2–3.6 | 1235 | false | | 3.6–4.0 | 2735 | false | #### departments ```json [ { "subject": "MS&E", "comparison": { "size": 28, "gpaPercentile": 4, "countPercentile": 85, "medianCount": 208.5, "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": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.1333333333333333 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1084 ##### term 1084 ##### gpa 3.1458333333333335 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1094 ##### term 1094 ##### gpa 3.275 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1104 ##### term 1104 ##### gpa 3.1842105263157894 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1114 ##### term 1114 ##### gpa 3.2058823529411766 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1124 ##### term 1124 ##### gpa 3.14 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1134 ##### term 1134 ##### gpa 3.025 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1144 ##### term 1144 ##### gpa 3.0689655172413794 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1154 ##### term 1154 ##### gpa 3.0833333333333335 ##### count 30 ##### university ###### size 935 ###### gpa Percentile 20 ###### count Percentile 0 ###### 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 | true | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "MS&E", "comparison": { "size": 11, "gpaPercentile": 0, "countPercentile": 0, "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": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 2.967391304347826 ##### count 46 ##### university ###### size 965 ###### gpa Percentile 9 ###### count Percentile 30 ###### 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": "MS&E", "comparison": { "size": 11, "gpaPercentile": 0, "countPercentile": 60, "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 3.0078125 ##### count 64 ##### university ###### size 955 ###### gpa Percentile 11 ###### count Percentile 46 ###### 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 | true | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "MS&E", "comparison": { "size": 11, "gpaPercentile": 0, "countPercentile": 80, "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": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.2596153846153846 ##### count 52 ##### university ###### size 1010 ###### gpa Percentile 28 ###### count Percentile 36 ###### 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": "MS&E", "comparison": { "size": 11, "gpaPercentile": 20, "countPercentile": 60, "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 3.020408163265306 ##### count 49 ##### university ###### size 1040 ###### gpa Percentile 11 ###### count Percentile 32 ###### 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 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | true | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "MS&E", "comparison": { "size": 11, "gpaPercentile": 0, "countPercentile": 50, "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": 3, "current": true }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.2 ##### count 30 ##### university ###### size 1012 ###### gpa Percentile 3 ###### count Percentile 0 ###### median Count 65.5 ###### 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 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | true | | 3.6–4.0 | 685 | false | ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1224 ##### term 1224 ##### gpa 3.106060606060606 ##### count 33 ##### university ###### size 1171 ###### gpa Percentile 12 ###### count Percentile 9 ###### 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 | true | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "MS&E", "comparison": { "size": 10, "gpaPercentile": 0, "countPercentile": 22, "medianCount": 38, "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": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 2.9714285714285715 ##### count 35 ##### university ###### size 1188 ###### gpa Percentile 5 ###### count Percentile 11 ###### 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 | true | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | false | ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1244 ##### term 1244 ##### gpa 3 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1254 ##### term 1254 ##### gpa 3.0833333333333335 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | #### 1264 ##### term 1264 ##### gpa 3 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | MS\&E | | ### benchmarks #### all ##### school ###### size 4298 ###### gpa 3.6599169512129595 ###### top Share 81.92066096643725 ###### count 170 ##### MS\&E ###### size 28 ###### gpa 3.5823064518711605 ###### top Share 76.08751672107378 ###### count 208.5 #### terms ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 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 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### 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 ###### 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 ###### 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 ###### 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 ###### 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 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### 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 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_9310172e16d105f4dbd20425", "name": "MICHAEL ARNOLD", "count": 464, "terms": [ { "term": "1104", "count": 19, "sections": 1, "gpa": 3.1842105263157894 }, { "term": "1114", "count": 17, "sections": 1, "gpa": 3.2058823529411766 }, { "term": "1124", "count": 25, "sections": 1, "gpa": 3.14 }, { "term": "1134", "count": 20, "sections": 1, "gpa": 3.025 }, { "term": "1144", "count": 29, "sections": 1, "gpa": 3.0689655172413794 }, { "term": "1154", "count": 30, "sections": 1, "gpa": 3.0833333333333335 }, { "term": "1164", "count": 46, "sections": 1, "gpa": 2.967391304347826 }, { "term": "1174", "count": 64, "sections": 1, "gpa": 3.0078125 }, { "term": "1194", "count": 49, "sections": 1, "gpa": 3.020408163265306 }, { "term": "1204", "count": 30, "sections": 1, "gpa": 3.2 }, { "term": "1224", "count": 33, "sections": 1, "gpa": 3.106060606060606 }, { "term": "1234", "count": 35, "sections": 1, "gpa": 2.9714285714285715 }, { "term": "1244", "count": 25, "sections": 1, "gpa": 3 }, { "term": "1254", "count": 24, "sections": 1, "gpa": 3.0833333333333335 }, { "term": "1264", "count": 18, "sections": 1, "gpa": 3 } ] }, { "uid": "instructor_3a9cf23c6dcdc6a742f377eb", "name": "PAUL EVANS", "count": 59, "terms": [ { "term": "1074", "count": 15, "sections": 1, "gpa": 3.1333333333333333 }, { "term": "1084", "count": 24, "sections": 1, "gpa": 3.1458333333333335 }, { "term": "1094", "count": 20, "sections": 1, "gpa": 3.275 } ] }, { "uid": "instructor_07eaee3c07b5877ec724c554", "name": "DONALD STONE", "count": 52, "terms": [ { "term": "1184", "count": 52, "sections": 1, "gpa": 3.2596153846153846 } ] }, { "uid": "instructor_efb92137fe77e04b6812916d", "name": "OMER SADAK", "count": 52, "terms": [ { "term": "1184", "count": 52, "sections": 1, "gpa": 3.2596153846153846 } ] } ] ``` ## following | code | title | | ------ | --------------------------------------------------------------------- | | ME 419 | FUNDAMENTALS OF INJECTION MOLDING | | NE 536 | FEASIBILITY OF FUSION POWER PLANTS BASED ON CONTROLLED NUCLEAR FUSION |