# COMPSCI 762: Advanced Deep Learning | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_762) ## 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 d7c96cc9a46218bc51b1f17056b54e2079ce696c36463c27deee50ff6952428e ### course id COMPSCI 762 ### course uid course\_f47a7525fa0c7b4047094545 ### catalog version id 644331c98425dd52f2ee4c2713831989e04bce17e77fbfc6b623388a277c2a91 ### course number 762 ### subjects * COMPSCI ### title ADVANCED DEEP LEARNING ### description Explore methods and applications of deep learning. Covers cutting-edge topics, including neural architecture design, robustness and reliability of deep learning, learning with less supervision, lifelong machine learning, deep generative modeling, theoretical understanding of deep learning, and interpretable deep learning. ### requirements text E C E/​COMP SCI  760 ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id e2dd44e241d03d0c555c89587a0e071e8b85e52578af0c7b2919fb213e06a33b ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Advanced deep learning methods including architecture design, generative modeling, and interpretability. ### llm topics * Neural architecture design * Robustness and reliability * Learning with less supervision and lifelong learning * Deep generative modeling * Theoretical understanding * Interpretable deep learning ### llm skills * Neural architecture design and robustness analysis * Deep generative modeling and interpretability ### llm assumed background * Foundational machine learning concepts and algorithms ### llm search phrases * advanced deep learning course * deep learning applications * neural architecture design * robustness deep learning * generative modeling ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash e5fd33844e21c17822870ab8c421050d66a19c069bca9ef45919f536e4bc54c2 #### course id COMPSCI 762 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context Historical reviews for Yixuan Li describe her as great. This single review indicates high quality, though no specific teaching strengths or concerns are detailed beyond this general praise. ```json { "citations": [ { "instructor_name": "Yixuan Li", "review_date": "2022-12-16 00:06:28 +0000 UTC", "review_id": "a7a7b81ee328e0113c64ad61", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2807396", "source_review_id": "UmF0aW5nLTM3MTQ2MTcz", "source_url": "https://www.ratemyprofessors.com/professor/2807396", "type": "review" } ] } ``` #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Historical reviews of Yixuan Li: Yixuan Li is described as great by one reviewer. ```json { "citations": [ { "instructor_name": "Yixuan Li", "review_date": "2022-12-16 00:06:28 +0000 UTC", "review_id": "a7a7b81ee328e0113c64ad61", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2807396", "source_review_id": "UmF0aW5nLTM3MTQ2MTcz", "source_url": "https://www.ratemyprofessors.com/professor/2807396", "type": "review" } ] } ``` Recent recorded grades — Fall 2022: 3.92 GPA, 97.8% A/AB (n=45 letter grades); Fall 2023: 3.90 GPA, 97.1% A/AB (n=34 letter grades); Fall 2025: 3.83 GPA, 91.3% A/AB (n=46 letter grades). ```json { "citations": [ { "course_id": "COMPSCI 762", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "82c5b13f-d167-3820-a856-987ff152f599", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI 762", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "82c5b13f-d167-3820-a856-987ff152f599", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 762", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "82c5b13f-d167-3820-a856-987ff152f599", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience Historical reviews of Yixuan Li: The reviewer rated the course quality highly. ```json { "citations": [ { "instructor_name": "Yixuan Li", "review_date": "2022-12-16 00:06:28 +0000 UTC", "review_id": "a7a7b81ee328e0113c64ad61", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2807396", "source_review_id": "UmF0aW5nLTM3MTQ2MTcz", "source_url": "https://www.ratemyprofessors.com/professor/2807396", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history YIXUAN LI is recorded teaching in Fall 2021, Fall 2022, Fall 2023, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 762", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "82c5b13f-d167-3820-a856-987ff152f599", "source_record": { "entity_id": "82c5b13f-d167-3820-a856-987ff152f599", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI 762", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "82c5b13f-d167-3820-a856-987ff152f599", "source_record": { "entity_id": "82c5b13f-d167-3820-a856-987ff152f599", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI 762", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "82c5b13f-d167-3820-a856-987ff152f599", "source_record": { "entity_id": "82c5b13f-d167-3820-a856-987ff152f599", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 762", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "82c5b13f-d167-3820-a856-987ff152f599", "source_record": { "entity_id": "82c5b13f-d167-3820-a856-987ff152f599", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": null, "course": { "course_number": 760, "minimum_grade": null, "subjects": [ "COMPSCI", "ECE" ], "timing": "prior" }, "evidence": "E C E/COMP SCI 760", "id": "n0", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_c2de3cd74407ac8a8a43292f", "source": "madgrades", "source_instructor_id": "6220708", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YIFEI MING", "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": 3.903, "graded": 36, "counts": [ 30, 5, 1, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/YIFEI_MING--instructor_c2de3cd74407ac8a8a43292f" }, { "instructor_uid": "instructor_edbb604aca02314769e30501", "source": "madgrades", "source_instructor_id": "6312332", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YIXUAN LI", "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": 3, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:2807396", "source_url": "https://www.ratemyprofessors.com/professor/2807396", "match_basis": "exact_name", "observed_at": "2026-09-07 16:32:44.475147+00:00", "courses": { "course_f47a7525fa0c7b4047094545": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7235102700443767, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.706, "graded": 433, "counts": [ 276, 83, 59, 12, 1, 1, 1 ], "sections": 46 }, "instructor_url": "/instructors/YIXUAN_LI--instructor_edbb604aca02314769e30501" }, { "instructor_uid": "instructor_19cf6a07541dba745ed3d6d7", "source": "madgrades", "source_instructor_id": "6284310", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XUEFENG DU", "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": 3.922, "graded": 45, "counts": [ 39, 5, 1, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/XUEFENG_DU" }, { "instructor_uid": "instructor_de4ccdfc3b060f9cc533ea62", "source": "madgrades", "source_instructor_id": "6486953", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SOURAV SURESH", "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": 3.897, "graded": 34, "counts": [ 28, 5, 1, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/SOURAV_SURESH--instructor_de4ccdfc3b060f9cc533ea62" }, { "instructor_uid": "instructor_7c30eeba87c35f78badaaaf3", "source": "madgrades", "source_instructor_id": "6767759", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JIMMY DI", "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": 3.414, "graded": 245, "counts": [ 111, 50, 45, 29, 4, 2, 4 ], "sections": 2 }, "instructor_url": "/instructors/JIMMY_DI" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 762", "course_uid": "course_f47a7525fa0c7b4047094545", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "YIFEI MING", "Yuxuan Li" ], "a": 30, "ab": 5, "b": 1, "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": 37, "source_aliases": [ "COMPSCI 762" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 762", "course_uid": "course_f47a7525fa0c7b4047094545", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "XUEFENG DU", "Yuxuan Li" ], "a": 39, "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": 45, "source_aliases": [ "COMPSCI 762" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 762", "course_uid": "course_f47a7525fa0c7b4047094545", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "SOURAV SURESH", "Yuxuan Li" ], "a": 28, "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": 34, "source_aliases": [ "COMPSCI 762" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 762", "course_uid": "course_f47a7525fa0c7b4047094545", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "JIMMY DI", "Yuxuan Li" ], "a": 35, "ab": 7, "b": 3, "bc": 1, "c": 0, "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": 48, "source_aliases": [ "COMPSCI 762" ] } ] ``` ### statistics #### gpa 3.885 #### graded 161 #### counts * 132 * 22 * 6 * 1 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_f47a7525fa0c7b4047094545-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_f47a7525fa0c7b4047094545-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_f47a7525fa0c7b4047094545-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_f47a7525fa0c7b4047094545-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_f47a7525fa0c7b4047094545-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_f47a7525fa0c7b4047094545-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_f47a7525fa0c7b4047094545-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_f47a7525fa0c7b4047094545-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8850931677018634 #### count 161 #### university ##### size 2676 ##### gpa Percentile 71 ##### count Percentile 65 ##### median Count 103 ##### 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 | 9 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 670 | false | | 3.6–4.0 | 1793 | true | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 75, "gpaPercentile": 85, "countPercentile": 42, "medianCount": 187, "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": 11, "current": false }, { "range": "3.2–3.6", "count": 26, "current": false }, { "range": "3.6–4.0", "count": 37, "current": true } ] } } ] ``` ### terms #### 1222 ##### term 1222 ##### gpa 3.9027777777777777 ##### count 36 ##### university ###### size 1157 ###### gpa Percentile 85 ###### count Percentile 14 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 93, "countPercentile": 4, "medianCount": 94.5, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 23, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.922222222222222 ##### count 45 ##### university ###### size 1216 ###### gpa Percentile 85 ###### count Percentile 29 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 50, "gpaPercentile": 88, "countPercentile": 12, "medianCount": 82.5, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 19, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.8970588235294117 ##### count 34 ##### university ###### size 1295 ###### gpa Percentile 81 ###### count Percentile 11 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 86, "countPercentile": 12, "medianCount": 99, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 20, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.8260869565217392 ##### count 46 ##### university ###### size 1320 ###### gpa Percentile 68 ###### count Percentile 28 ###### median Count 70 ###### 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 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 53, "gpaPercentile": 77, "countPercentile": 15, "medianCount": 82, "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": 22, "current": false }, { "range": "3.6–4.0", "count": 21, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 2676 ###### gpa 3.6760654412590643 ###### top Share 83.03910025238832 ###### count 103 ##### COMPSCI ###### size 75 ###### gpa 3.577939326612628 ###### top Share 78.09986112890414 ###### count 187 #### terms ##### 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 ##### 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 ##### 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 ##### 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 ## instructor Trends ```json [ { "uid": "instructor_edbb604aca02314769e30501", "name": "YIXUAN LI", "count": 161, "terms": [ { "term": "1222", "count": 36, "sections": 1, "gpa": 3.9027777777777777 }, { "term": "1232", "count": 45, "sections": 1, "gpa": 3.922222222222222 }, { "term": "1242", "count": 34, "sections": 1, "gpa": 3.8970588235294117 }, { "term": "1262", "count": 46, "sections": 1, "gpa": 3.8260869565217392 } ] }, { "uid": "instructor_7c30eeba87c35f78badaaaf3", "name": "JIMMY DI", "count": 46, "terms": [ { "term": "1262", "count": 46, "sections": 1, "gpa": 3.8260869565217392 } ] }, { "uid": "instructor_19cf6a07541dba745ed3d6d7", "name": "XUEFENG DU", "count": 45, "terms": [ { "term": "1232", "count": 45, "sections": 1, "gpa": 3.922222222222222 } ] }, { "uid": "instructor_c2de3cd74407ac8a8a43292f", "name": "YIFEI MING", "count": 36, "terms": [ { "term": "1222", "count": 36, "sections": 1, "gpa": 3.9027777777777777 } ] }, { "uid": "instructor_de4ccdfc3b060f9cc533ea62", "name": "SOURAV SURESH", "count": 34, "terms": [ { "term": "1242", "count": 34, "sections": 1, "gpa": 3.8970588235294117 } ] } ] ``` ## following None recorded.