# COMPSCI/ECE/STAT 861: Theoretical Foundations of Machine Learning | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_ECE_STAT_861) ## 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 59dfbb4c6307d863c4febb715d9fbc22181efe67318dfe39a9a44a52b68a7d94 ### course id COMPSCI/ECE/STAT 861 ### course uid course\_f84cce2e31d7170db5bc7b84 ### catalog version id 49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6 ### course number 861 ### subjects * COMPSCI * ECE * STAT ### title THEORETICAL FOUNDATIONS OF MACHINE LEARNING ### description Advanced mathematical theory and methods of machine learning. Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms. ### requirements text E C E/​COMP SCI  761or E C E 830 ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id b5bdcf8058facfd526596c913e9d0b5546ca1918c26eb15f03aeeca6f29a88cb ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Advanced mathematical theory and methods of machine learning, covering statistical learning theory, model selection, and optimization. ### llm topics * Statistical learning theory and Vapnik-Chevronenkis Theory * High-dimensional models and nonparametric methods ### llm skills * Statistical learning theory and model selection * Probabilistic analysis and optimization ### llm assumed background * Probability and linear algebra * Mathematical foundations of machine learning ### llm search phrases * theoretical machine learning * statistical learning theory * VC theory * high-dimensional models * optimization methods ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 96f72d8c6f2f964be7d2458677b79b1f1863b8fb843c122c85e0e0210dae3b7a #### course id COMPSCI/ECE/STAT 861 #### 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 2023: 3.86 GPA, 100.0% A/AB (n=22 letter grades); Fall 2024: 3.86 GPA, 95.2% A/AB (n=21 letter grades); Fall 2025: 3.69 GPA, 83.3% A/AB (n=24 letter grades). ```json { "citations": [ { "course_id": "COMPSCI/ECE/STAT 861", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e643cfcb-547c-307e-847d-4cf9d92b68a8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI/ECE/STAT 861", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e643cfcb-547c-307e-847d-4cf9d92b68a8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI/ECE/STAT 861", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e643cfcb-547c-307e-847d-4cf9d92b68a8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "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": "E C E/COMP SCI 761or E C E 830", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 761, "minimum_grade": null, "subjects": [ "COMPSCI", "ECE" ], "timing": "prior" }, "evidence": "E C E/COMP SCI 761", "id": "n1", "kind": "course" }, { "children": [], "condition": "E C E 830", "course": null, "evidence": "E C E 830", "id": "n2", "kind": "condition" } ] ``` #### notes * ECE 830 is mentioned in requirements but not found in linked\_courses or course lookup; treated as a verbatim condition requiring review. #### root n0 #### status needs\_review ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_74e71544cb072def38511b27", "source": "madgrades", "source_instructor_id": "4108524", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XIAOJIN ZHU", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.35, "graded": 2423, "counts": [ 903, 666, 436, 223, 136, 36, 23 ], "sections": 146 }, "instructor_url": "/instructors/XIAOJIN_ZHU--instructor_74e71544cb072def38511b27" }, { "instructor_uid": "instructor_a4ce967ca0fbb6d158a19e76", "source": "madgrades", "source_instructor_id": "6489450", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KIRTHEVASAN KANDASAMY", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 1, "quality": 5, "difficulty": 5, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:3067011", "source_url": "https://www.ratemyprofessors.com/professor/3067011", "match_basis": "exact_name", "observed_at": "2026-09-07 16:25:41.342430+00:00", "courses": {}, "bayesian_quality": 3.7235102700443767, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.625, "graded": 347, "counts": [ 184, 93, 56, 5, 7, 2, 0 ], "sections": 22 }, "instructor_url": "/instructors/KIRTHEVASAN_KANDASAMY--instructor_a4ce967ca0fbb6d158a19e76" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/STAT 861", "course_uid": "course_f84cce2e31d7170db5bc7b84", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "XIAOJIN ZHU" ], "a": 10, "ab": 12, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "COMPSCI/ECE/STAT 861" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/STAT 861", "course_uid": "course_f84cce2e31d7170db5bc7b84", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "XIAOJIN ZHU" ], "a": 22, "ab": 5, "b": 1, "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": 28, "source_aliases": [ "COMPSCI/ECE/STAT 861" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/STAT 861", "course_uid": "course_f84cce2e31d7170db5bc7b84", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "XIAOJIN ZHU" ], "a": 12, "ab": 9, "b": 1, "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": 22, "source_aliases": [ "COMPSCI/ECE/STAT 861" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/STAT 861", "course_uid": "course_f84cce2e31d7170db5bc7b84", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "XIAOJIN ZHU" ], "a": 18, "ab": 7, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "COMPSCI/ECE/STAT 861" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/STAT 861", "course_uid": "course_f84cce2e31d7170db5bc7b84", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "XIAOJIN ZHU" ], "a": 11, "ab": 2, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 13, "source_aliases": [ "COMPSCI/ECE/STAT 861" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/STAT 861", "course_uid": "course_f84cce2e31d7170db5bc7b84", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Kirthevasan Kandasamy" ], "a": 16, "ab": 6, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 22, "source_aliases": [ "COMPSCI/ECE/STAT 861" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/STAT 861", "course_uid": "course_f84cce2e31d7170db5bc7b84", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Kirthevasan Kandasamy" ], "a": 16, "ab": 4, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 23, "source_aliases": [ "COMPSCI/ECE/STAT 861" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ECE/STAT 861", "course_uid": "course_f84cce2e31d7170db5bc7b84", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Kirthevasan Kandasamy" ], "a": 17, "ab": 3, "b": 3, "bc": 0, "c": 0, "d": 1, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 25, "source_aliases": [ "COMPSCI/ECE/STAT 861" ] } ] ``` ### statistics #### gpa 3.791 #### graded 182 #### counts * 122 * 48 * 11 * 0 * 0 * 1 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_f84cce2e31d7170db5bc7b84-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_f84cce2e31d7170db5bc7b84-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_f84cce2e31d7170db5bc7b84-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_f84cce2e31d7170db5bc7b84-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_f84cce2e31d7170db5bc7b84-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_f84cce2e31d7170db5bc7b84-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.791208791208791 #### count 182 #### university ##### size 3769 ##### gpa Percentile 58 ##### count Percentile 64 ##### median Count 117 ##### 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 | 11 | false | | 2.8–3.2 | 277 | false | | 3.2–3.6 | 996 | false | | 3.6–4.0 | 2485 | true | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 96, "gpaPercentile": 62, "countPercentile": 44, "medianCount": 237.5, "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": 13, "current": false }, { "range": "3.2–3.6", "count": 33, "current": false }, { "range": "3.6–4.0", "count": 50, "current": true } ] } }, { "subject": "ECE", "comparison": { "size": 94, "gpaPercentile": 73, "countPercentile": 54, "medianCount": 169, "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": 38, "current": false }, { "range": "3.6–4.0", "count": 51, "current": true } ] } }, { "subject": "STAT", "comparison": { "size": 60, "gpaPercentile": 76, "countPercentile": 46, "medianCount": 221, "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": 25, "current": false }, { "range": "3.6–4.0", "count": 28, "current": true } ] } } ] ``` ### terms #### 1184 ##### term 1184 ##### gpa 3.64 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | | STAT | | #### 1194 ##### term 1194 ##### gpa 3.875 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | | STAT | | #### 1212 ##### term 1212 ##### gpa 3.75 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | | STAT | | #### 1222 ##### term 1222 ##### gpa 3.7962962962962963 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | | STAT | | #### 1232 ##### term 1232 ##### gpa 3.923076923076923 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | | STAT | | #### 1242 ##### term 1242 ##### gpa 3.8636363636363638 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | | STAT | | #### 1252 ##### term 1252 ##### gpa 3.857142857142857 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | | STAT | | #### 1262 ##### term 1262 ##### gpa 3.6875 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ECE | | | STAT | | ### benchmarks #### all ##### school ###### size 3769 ###### gpa 3.671669249858107 ###### top Share 82.66891359967613 ###### count 117 ##### COMPSCI ###### size 96 ###### gpa 3.5864847177512718 ###### top Share 78.47269553355137 ###### count 237.5 ##### ECE ###### size 94 ###### gpa 3.60721112151844 ###### top Share 78.84634556765113 ###### count 169 ##### STAT ###### size 60 ###### gpa 3.556594432952794 ###### top Share 76.19170015556463 ###### count 221 #### terms ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### COMPSCI ###### size 31 ###### gpa 3.329310414227759 ###### top Share 61.243618316797935 ###### count 126 ###### ECE ###### size 34 ###### gpa 3.4797837203421706 ###### top Share 70.14653057475711 ###### count 84.5 ###### STAT ###### size 25 ###### gpa 3.460210558661105 ###### top Share 70.42953406269322 ###### count 70 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3433846242383978 ###### top Share 63.409438479169644 ###### count 92 ###### ECE ###### size 36 ###### gpa 3.5139370942069434 ###### top Share 73.58293880609176 ###### count 77 ###### STAT ###### size 23 ###### gpa 3.3818127863152334 ###### top Share 66.9295898310719 ###### count 79 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### COMPSCI ###### size 42 ###### gpa 3.450396020252364 ###### top Share 69.90950224603134 ###### count 96 ###### ECE ###### size 41 ###### gpa 3.5390420098740205 ###### top Share 74.4144228117487 ###### count 66 ###### STAT ###### size 25 ###### gpa 3.4555542540486095 ###### top Share 69.54152339778892 ###### count 100 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### COMPSCI ###### size 46 ###### gpa 3.4266761668874532 ###### top Share 68.93117403010548 ###### count 94.5 ###### ECE ###### size 41 ###### gpa 3.502469130958549 ###### top Share 72.06914460291064 ###### count 70 ###### STAT ###### size 32 ###### gpa 3.4861059411832307 ###### top Share 71.46520654148341 ###### count 55.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### COMPSCI ###### size 50 ###### gpa 3.522872390836507 ###### top Share 74.11555010870671 ###### count 82.5 ###### ECE ###### size 44 ###### gpa 3.4583903966894223 ###### top Share 70.01102622146537 ###### count 70 ###### STAT ###### size 32 ###### gpa 3.4024781451477413 ###### top Share 66.63145704464162 ###### count 60.5 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### COMPSCI ###### size 52 ###### gpa 3.5206188715369935 ###### top Share 74.2043106737207 ###### count 99 ###### ECE ###### size 41 ###### gpa 3.4916867437115484 ###### top Share 71.95296745580877 ###### count 83 ###### STAT ###### size 34 ###### gpa 3.4558758327213903 ###### top Share 69.10154863162224 ###### count 55 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### COMPSCI ###### size 54 ###### gpa 3.5244021201456657 ###### top Share 75.07938169795783 ###### count 101 ###### ECE ###### size 44 ###### gpa 3.5595929340853747 ###### top Share 76.26079811550397 ###### count 74 ###### STAT ###### size 32 ###### gpa 3.423918594183889 ###### top Share 68.17668754351217 ###### count 70.5 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### COMPSCI ###### size 53 ###### gpa 3.533845597774486 ###### top Share 75.31824598445624 ###### count 82 ###### ECE ###### size 41 ###### gpa 3.5162416044524014 ###### top Share 73.72561877957347 ###### count 82 ###### STAT ###### size 29 ###### gpa 3.415022952129974 ###### top Share 64.95385808199006 ###### count 81 ## instructor Trends ```json [ { "uid": "instructor_74e71544cb072def38511b27", "name": "XIAOJIN ZHU", "count": 115, "terms": [ { "term": "1184", "count": 25, "sections": 1, "gpa": 3.64 }, { "term": "1194", "count": 28, "sections": 1, "gpa": 3.875 }, { "term": "1212", "count": 22, "sections": 1, "gpa": 3.75 }, { "term": "1222", "count": 27, "sections": 1, "gpa": 3.7962962962962963 }, { "term": "1232", "count": 13, "sections": 1, "gpa": 3.923076923076923 } ] }, { "uid": "instructor_a4ce967ca0fbb6d158a19e76", "name": "KIRTHEVASAN KANDASAMY", "count": 67, "terms": [ { "term": "1242", "count": 22, "sections": 1, "gpa": 3.8636363636363638 }, { "term": "1252", "count": 21, "sections": 1, "gpa": 3.857142857142857 }, { "term": "1262", "count": 24, "sections": 1, "gpa": 3.6875 } ] } ] ``` ## following None recorded.