# COMPSCI 838: Topics in Computing | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_838) ## 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 ff52d17a715b035ac4d248dfe10535185dd4d181e33d5a1e97103d6c8f57e0aa ### course id COMPSCI 838 ### course uid course\_c01310eb7bc18e1b764e2954 ### catalog version id 81d602dc70c96b23a732aa61dd40aeb94ac1ed35f98f8a8e16cbea66e064794a ### course number 838 ### subjects * COMPSCI ### title TOPICS IN COMPUTING ### description Advanced topics of special interest to students in various areas of Computer Science. Each offering of the course will cover a topic selected by the instructor. Credit varies by offering - check with the department to determine how an offering counts toward degree requirements. ### requirements text Graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id ec986cb32968955dfca4d63d78d9f0877d63414f227537e09b9eeaa69f80e343 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary COMPSCI 838 covers advanced, instructor-selected topics in various areas of Computer Science for graduate students. ### llm topics None recorded. ### llm skills None recorded. ### llm assumed background None recorded. ### llm search phrases * advanced computer science topics * graduate computing seminar * special interest CS course ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash a51a9797f3ad426ff6548e6a521242b138669bef648373baaf8471c18a501335 #### course id COMPSCI 838 #### current instructors None recorded. #### difficulty workload Historical reviews of Shuchi Chawla: Shuchi Chawla’s course is challenging, requiring high performance, but she provides resources and a grading curve. ```json { "citations": [ { "instructor_name": "Shuchi Chawla", "review_date": "2018-03-07 14:01:38 +0000 UTC", "review_id": "e97d72c013403eacb938f6b8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1618280", "source_review_id": "UmF0aW5nLTI5NjMwMzg2", "source_url": "https://www.ratemyprofessors.com/professor/1618280", "type": "review" }, { "instructor_name": "Shuchi Chawla", "review_date": "2023-12-16 06:52:17 +0000 UTC", "review_id": "ab3b6e9de50e0c81f6a4b063", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1618280", "source_review_id": "UmF0aW5nLTM4NzA0NjYz", "source_url": "https://www.ratemyprofessors.com/professor/1618280", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Shuchi Chawla: Shuchi Chawla is described as putting immense effort into lectures and being kind, though one review notes her forthright nature. Students report the course requires Olympic-level performance and involves significant difficulty, with one reviewer feeling trust was broken. Another review highlights that while material is challenging, resources and grading curves help manage the workload. ```json { "citations": [ { "instructor_name": "Shuchi Chawla", "review_date": "2018-03-07 14:01:38 +0000 UTC", "review_id": "e97d72c013403eacb938f6b8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1618280", "source_review_id": "UmF0aW5nLTI5NjMwMzg2", "source_url": "https://www.ratemyprofessors.com/professor/1618280", "type": "review" }, { "instructor_name": "Shuchi Chawla", "review_date": "2018-03-07 14:34:33 +0000 UTC", "review_id": "0ad972bc2d4d863cde31d12a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1618280", "source_review_id": "UmF0aW5nLTI5NjMwNTI3", "source_url": "https://www.ratemyprofessors.com/professor/1618280", "type": "review" }, { "instructor_name": "Shuchi Chawla", "review_date": "2023-12-16 06:52:17 +0000 UTC", "review_id": "ab3b6e9de50e0c81f6a4b063", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1618280", "source_review_id": "UmF0aW5nLTM4NzA0NjYz", "source_url": "https://www.ratemyprofessors.com/professor/1618280", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews of Paris Koutris: Paris Koutris teaches Database Theory concepts clearly with readable notes, though it requires background knowledge. ```json { "citations": [ { "instructor_name": "Paris Koutris", "review_date": "2016-05-07 16:47:45 +0000 UTC", "review_id": "f0aad3c6e21dd30118337f62", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2066423", "source_review_id": "UmF0aW5nLTI2NDk5NTYy", "source_url": "https://www.ratemyprofessors.com/professor/2066423", "type": "review" } ] } ``` Recent recorded grades — Fall 2020: 4.00 GPA, 100.0% A/AB (n=80 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=17 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=24 letter grades). ```json { "citations": [ { "course_id": "COMPSCI 838", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c5bbc1b2-f399-34a9-b698-18fa4c30b44e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "COMPSCI 838", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c5bbc1b2-f399-34a9-b698-18fa4c30b44e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "COMPSCI 838", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "c5bbc1b2-f399-34a9-b698-18fa4c30b44e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" } ] } ``` #### student experience Historical reviews of Paris Koutris, Shuchi Chawla: Koutris offers excellent examples and readable notes, while Chawla is described as kind and sympathetic. ```json { "citations": [ { "instructor_name": "Paris Koutris", "review_date": "2016-05-07 16:47:45 +0000 UTC", "review_id": "f0aad3c6e21dd30118337f62", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2066423", "source_review_id": "UmF0aW5nLTI2NDk5NTYy", "source_url": "https://www.ratemyprofessors.com/professor/2066423", "type": "review" }, { "instructor_name": "Shuchi Chawla", "review_date": "2023-12-16 06:52:17 +0000 UTC", "review_id": "ab3b6e9de50e0c81f6a4b063", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1618280", "source_review_id": "UmF0aW5nLTM4NzA0NjYz", "source_url": "https://www.ratemyprofessors.com/professor/1618280", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history PARIS KOUTRIS is recorded teaching in Spring 2016. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 838", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "c5bbc1b2-f399-34a9-b698-18fa4c30b44e", "source_record": { "entity_id": "c5bbc1b2-f399-34a9-b698-18fa4c30b44e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_edbef4ea9b58524915392e33", "source": 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"exact_name", "observed_at": "2026-09-07 16:27:24.774664+00:00", "courses": { "course_9eb7166a49d161bca95d729f": { "review_count": 9, "quality": 3.78, "difficulty": 2.11, "quality_count": 9, "difficulty_count": 9 }, "course_45a9d9a05cba4d5b592ac7a3": { "review_count": 5, "quality": 4.6, "difficulty": 3, "quality_count": 5, "difficulty_count": 5 } }, "bayesian_quality": 3.861249019169483, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.496, "graded": 1539, "counts": [ 856, 257, 210, 109, 65, 24, 18 ], "sections": 168 }, "instructor_url": "/instructors/KARTHIKEYAN_SANKARALINGAM--instructor_485182ace364dcdf4abb503d" }, { "instructor_uid": "instructor_84a81b0f2133e8e40943a1d7", "source": "madgrades", "source_instructor_id": "5171884", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SWAMIT TANNU", "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": 18, "quality": 2.33, "difficulty": 3.78, "quality_count": 18, "difficulty_count": 18, "profile_id": "rmp:2833415", "source_url": "https://www.ratemyprofessors.com/professor/2833415", "match_basis": "exact_name", "observed_at": "2026-09-07 16:04:04.812539+00:00", "courses": { "course_87400c0728797946c5cef14c": { "review_count": 4, "quality": 4.75, "difficulty": 3.25, "quality_count": 4, "difficulty_count": 4 }, "course_45a9d9a05cba4d5b592ac7a3": { "review_count": 14, "quality": 1.64, "difficulty": 3.93, "quality_count": 14, "difficulty_count": 14 } }, "bayesian_quality": 3.0298346229192608, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.656, "graded": 550, "counts": [ 372, 92, 39, 22, 11, 7, 7 ], "sections": 53 }, "instructor_url": "/instructors/SWAMIT_TANNU--instructor_84a81b0f2133e8e40943a1d7" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", 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0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 24, "source_aliases": [ "COMPSCI 838" ] } ] ``` ### statistics #### gpa 3.849 #### graded 967 #### counts * 735 * 180 * 47 * 2 * 3 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_c01310eb7bc18e1b764e2954-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_c01310eb7bc18e1b764e2954-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_c01310eb7bc18e1b764e2954-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_c01310eb7bc18e1b764e2954-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_c01310eb7bc18e1b764e2954-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_c01310eb7bc18e1b764e2954-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_c01310eb7bc18e1b764e2954-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_c01310eb7bc18e1b764e2954-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8490175801447775 #### count 967 #### university ##### size 4914 ##### gpa Percentile 71 ##### count Percentile 85 ##### median Count 195 ##### 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 | 17 | false | | 2.8–3.2 | 425 | false | | 3.2–3.6 | 1507 | false | | 3.6–4.0 | 2965 | true | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 101, "gpaPercentile": 87, "countPercentile": 71, "medianCount": 398, "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": 17, "current": false }, { "range": "3.2–3.6", "count": 30, "current": false }, { "range": "3.6–4.0", "count": 54, "current": true } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.7142857142857144 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1074 ##### term 1074 ##### gpa 3.9642857142857144 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1082 ##### term 1082 ##### gpa 4 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1084 ##### term 1084 ##### gpa 3.8194444444444446 ##### count 36 ##### university ###### size 720 ###### gpa Percentile 85 ###### count Percentile 12 ###### 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 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 248 | false | | 3.6–4.0 | 217 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 14, "gpaPercentile": 100, "countPercentile": 15, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 3.7777777777777777 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1102 ##### term 1102 ##### gpa 3.738095238095238 ##### count 63 ##### university ###### size 774 ###### gpa Percentile 81 ###### count Percentile 46 ###### 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 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 19, "gpaPercentile": 100, "countPercentile": 56, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 1, "current": true } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.90625 ##### count 48 ##### university ###### size 793 ###### gpa Percentile 89 ###### count Percentile 34 ###### 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 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | false | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 22, "gpaPercentile": 100, "countPercentile": 43, "medianCount": 51.5, "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": 3, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 3.7285714285714286 ##### count 35 ##### university ###### size 805 ###### gpa Percentile 80 ###### count Percentile 12 ###### 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 | 1 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 27, "gpaPercentile": 92, "countPercentile": 27, "medianCount": 41, "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": 10, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 3.9375 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1122 ##### term 1122 ##### gpa 3.9 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1124 ##### term 1124 ##### gpa 3.7 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1132 ##### term 1132 ##### gpa 3.8085106382978724 ##### count 47 ##### university ###### size 851 ###### gpa Percentile 84 ###### count Percentile 33 ###### 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 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 23, "gpaPercentile": 100, "countPercentile": 45, "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": 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": 8, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.765625 ##### count 32 ##### university ###### size 852 ###### gpa Percentile 79 ###### count Percentile 5 ###### 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 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 22, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 68, "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": 9, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.9642857142857144 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1144 ##### term 1144 ##### gpa 3.8214285714285716 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1152 ##### term 1152 ##### gpa 3.789473684210526 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1154 ##### term 1154 ##### gpa 3.736842105263158 ##### count 38 ##### university ###### size 935 ###### gpa Percentile 76 ###### count Percentile 15 ###### 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 | false | | 3.6–4.0 | 334 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 90, "countPercentile": 17, "medianCount": 63, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.66 ##### count 75 ##### university ###### size 954 ###### gpa Percentile 69 ###### count Percentile 57 ###### median Count 64.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 35, "gpaPercentile": 76, "countPercentile": 74, "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": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 14, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.8823529411764706 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1172 ##### term 1172 ##### gpa 3.848314606741573 ##### count 89 ##### university ###### size 991 ###### gpa Percentile 84 ###### count Percentile 64 ###### 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 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 87, "countPercentile": 60, "medianCount": 74, "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": 16, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.9094827586206895 ##### count 116 ##### university ###### size 955 ###### gpa Percentile 88 ###### count Percentile 74 ###### 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 | false | | 3.6–4.0 | 369 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 30, "gpaPercentile": 90, "countPercentile": 59, "medianCount": 108, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.9444444444444446 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1194 ##### term 1194 ##### gpa 3.9285714285714284 ##### count 49 ##### university ###### size 1040 ###### gpa Percentile 89 ###### 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 | false | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 38, "gpaPercentile": 92, "countPercentile": 16, "medianCount": 92, "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": 15, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.91025641025641 ##### count 39 ##### university ###### size 1102 ###### gpa Percentile 88 ###### count Percentile 18 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 41, "gpaPercentile": 95, "countPercentile": 8, "medianCount": 91, "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": 13, "current": false }, { "range": "3.2–3.6", "count": 15, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 4 ##### count 80 ##### university ###### size 1111 ###### gpa Percentile 96 ###### count Percentile 55 ###### 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 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 98, "countPercentile": 34, "medianCount": 96, "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": 12, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 4 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1254 ##### term 1254 ##### gpa 4 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | ### benchmarks #### all ##### school ###### size 4914 ###### gpa 3.6352260346517187 ###### top Share 80.35528812799267 ###### count 195 ##### COMPSCI ###### size 101 ###### gpa 3.5461622166224784 ###### top Share 76.10659345061987 ###### count 398 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### COMPSCI ###### size 13 ###### gpa 2.984228192055664 ###### top Share 46.24763313433178 ###### count 60 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### COMPSCI ###### size 13 ###### gpa 3.0855368848689455 ###### top Share 48.7445028912265 ###### count 55 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### COMPSCI ###### size 15 ###### gpa 3.146224995259422 ###### top Share 51.28801425895212 ###### count 49 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### COMPSCI ###### size 14 ###### gpa 3.144553029581605 ###### top Share 50.3940565180559 ###### count 59 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### COMPSCI ###### size 16 ###### gpa 3.1364214252215854 ###### top Share 48.56845161086566 ###### count 72 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### COMPSCI ###### size 19 ###### gpa 3.1851402069816737 ###### top Share 53.3667497934056 ###### count 61 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### COMPSCI ###### size 22 ###### gpa 3.200534462173063 ###### top Share 56.78409435721555 ###### count 51.5 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### COMPSCI ###### size 27 ###### gpa 3.2907039795974518 ###### top Share 61.485726181424475 ###### count 41 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### COMPSCI ###### size 18 ###### gpa 3.266230341473234 ###### top Share 59.94733477037724 ###### count 58 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### COMPSCI ###### size 20 ###### gpa 3.20674670802027 ###### top Share 56.51588103392879 ###### count 54.5 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### COMPSCI ###### size 22 ###### gpa 3.1674244675767893 ###### top Share 54.635052791099376 ###### count 59 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### COMPSCI ###### size 23 ###### gpa 3.2325357852525465 ###### top Share 57.33650851473996 ###### count 56 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### COMPSCI ###### size 22 ###### gpa 3.2424086213492718 ###### top Share 59.28222765244668 ###### count 68 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### COMPSCI ###### size 28 ###### gpa 3.279575360328891 ###### top Share 60.13197427273153 ###### count 47.5 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### COMPSCI ###### size 26 ###### gpa 3.263233863996996 ###### top Share 58.711877593449 ###### count 70.5 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### COMPSCI ###### size 30 ###### gpa 3.3169698368361287 ###### top Share 64.20051564737066 ###### count 48.5 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### COMPSCI ###### size 31 ###### gpa 3.3515611477246905 ###### top Share 66.93977839039297 ###### count 63 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### COMPSCI ###### size 35 ###### gpa 3.3323013900568625 ###### top Share 63.38685451839816 ###### count 56 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### COMPSCI ###### size 32 ###### gpa 3.2951719476979457 ###### top Share 63.07751525075427 ###### count 84 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### COMPSCI ###### size 31 ###### gpa 3.3325489227746874 ###### top Share 61.97665055034616 ###### count 74 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### COMPSCI ###### size 30 ###### gpa 3.3383019285046376 ###### top Share 63.22952984555728 ###### count 108 ##### 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 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3453717241366854 ###### top Share 64.2917310505246 ###### count 95.5 ##### 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 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### COMPSCI ###### size 41 ###### gpa 3.3598624373657553 ###### top Share 65.26544910639922 ###### count 91 ##### 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 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### COMPSCI ###### size 45 ###### gpa 3.4719336884851772 ###### top Share 70.89188483398956 ###### count 96 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### COMPSCI ###### size 52 ###### gpa 3.482652727664103 ###### top Share 71.33786483648515 ###### count 105 ## instructor Trends ```json [ { "uid": "instructor_bd2b7a70508c1f2de5b24c02", "name": "SRINIVASA AKELLA", "count": 181, "terms": [ { "term": "1102", "count": 17, "sections": 1, "gpa": 3.8529411764705883 }, { "term": "1132", "count": 22, "sections": 1, "gpa": 3.772727272727273 }, { "term": "1162", "count": 59, "sections": 1, "gpa": 3.6779661016949152 }, { "term": "1172", "count": 83, "sections": 1, "gpa": 3.855421686746988 } ] }, { "uid": "instructor_a511011c1930d34cee42c4f7", "name": "REMZI ARPACI-DUSSEAU", "count": 138, "terms": [ { "term": "1082", "count": 10, "sections": 1, "gpa": 4 }, { "term": "1134", "count": 32, "sections": 1, "gpa": 3.765625 }, { "term": "1194", "count": 16, "sections": 1, "gpa": 3.875 }, { "term": "1212", "count": 80, "sections": 2, "gpa": 4 } ] }, { "uid": "instructor_716dd3b7144db082da913e4d", "name": "MICHAEL COEN", "count": 86, "terms": [ { "term": "1084", "count": 23, "sections": 1, "gpa": 3.847826086956522 }, { "term": "1102", "count": 39, "sections": 1, "gpa": 3.7051282051282053 }, { "term": "1112", "count": 22, "sections": 1, "gpa": 3.727272727272727 }, { "term": "1122", "count": 2, "sections": 1, "gpa": 3.75 } ] }, { "uid": "instructor_8a8d069a7cfff58ad5a275b4", "name": "AN H DOAN", "count": 78, "terms": [ { "term": "1174", "count": 78, "sections": 1, "gpa": 3.891025641025641 } ] }, { "uid": "instructor_bfe4bee42dc667c0fd32a915", "name": "MICHAEL GLEICHER", "count": 73, "terms": [ { "term": "1094", "count": 9, "sections": 1, "gpa": 3.7777777777777777 }, { "term": "1104", "count": 14, "sections": 1, "gpa": 3.6785714285714284 }, { "term": "1124", "count": 18, "sections": 1, "gpa": 3.5833333333333335 }, { "term": "1154", "count": 32, "sections": 1, "gpa": 3.71875 } ] }, { "uid": "instructor_fed8b1f5a10ba1f2cb2cd3d7", "name": "YIN LI", "count": 63, "terms": [ { "term": "1194", "count": 33, "sections": 1, "gpa": 3.9545454545454546 }, { "term": "1202", "count": 30, "sections": 1, "gpa": 3.966666666666667 } ] }, { "uid": "instructor_491da83116703d1b3c269e13", "name": "EFTYCHIOS SIFAKIS", "count": 62, "terms": [ { "term": "1122", "count": 8, "sections": 1, "gpa": 3.9375 }, { "term": "1132", "count": 13, "sections": 1, "gpa": 3.923076923076923 }, { "term": "1144", "count": 14, "sections": 1, "gpa": 3.8214285714285716 }, { "term": "1152", "count": 19, "sections": 1, "gpa": 3.789473684210526 }, { "term": "1162", "count": 8, "sections": 1, "gpa": 3.8125 } ] }, { "uid": "instructor_210eae517dd47513880a3f3e", "name": "JUDE SHAVLIK", "count": 38, "terms": [ { "term": "1174", "count": 38, "sections": 1, "gpa": 3.9473684210526314 } ] }, { "uid": "instructor_a3b20a8c5daa1f1230c02e0f", "name": "THOMAS RISTENPART", "count": 30, "terms": [ { "term": "1114", "count": 9, "sections": 1, "gpa": 3.888888888888889 }, { "term": "1124", "count": 7, "sections": 1, "gpa": 4 }, { "term": "1142", "count": 14, "sections": 1, "gpa": 3.9642857142857144 } ] }, { "uid": "instructor_84a81b0f2133e8e40943a1d7", "name": "SWAMIT TANNU", "count": 24, "terms": [ { "term": "1254", "count": 24, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_d225b29b2e17e4be5092e5b3", "name": "SUSHMITA ROY", "count": 23, "terms": [ { "term": "1162", "count": 8, "sections": 1, "gpa": 3.375 }, { "term": "1172", "count": 6, "sections": 1, "gpa": 3.75 }, { "term": "1202", "count": 9, "sections": 1, "gpa": 3.7222222222222223 } ] }, { "uid": "instructor_3de0ef4958551736222141f6", "name": "BILGE MUTLU", "count": 20, "terms": [ { "term": "1102", "count": 7, "sections": 1, "gpa": 3.642857142857143 }, { "term": "1112", "count": 13, "sections": 1, "gpa": 3.730769230769231 } ] }, { "uid": "instructor_3ae7a2c3592f5f819fbb54b8", "name": "CHRISTOPHER RE", "count": 19, "terms": [ { "term": "1104", "count": 19, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_485182ace364dcdf4abb503d", "name": "KARTHIKEYAN SANKARALINGAM", "count": 17, "terms": [ { "term": "1224", "count": 17, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_7d17f8a074323efe3e30fddf", "name": "PARIS KOUTRIS", "count": 17, "terms": [ { "term": "1164", "count": 17, "sections": 1, "gpa": 3.8823529411764706 } ] }, { "uid": "instructor_1aa801d796cd4d2f6d6b83aa", "name": "ANTHONY GITTER", "count": 15, "terms": [ { "term": "1154", "count": 6, "sections": 1, "gpa": 3.8333333333333335 }, { "term": "1202", "count": 9, "sections": 1, "gpa": 3.7222222222222223 } ] }, { "uid": "instructor_4107f43c1175fa1170f1b3c0", "name": "BENJAMIN RECHT", "count": 15, "terms": [ { "term": "1104", "count": 15, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_bf4a81f6aa7c91dfe31d8633", "name": "SOMESH JHA", "count": 15, "terms": [ { "term": "1114", "count": 15, "sections": 1, "gpa": 3.966666666666667 } ] }, { "uid": "instructor_74e71544cb072def38511b27", "name": "XIAOJIN ZHU", "count": 14, "terms": [ { "term": "1074", "count": 14, "sections": 1, "gpa": 3.9642857142857144 } ] }, { "uid": "instructor_edbef4ea9b58524915392e33", "name": "SUMAN BANERJEE", "count": 14, "terms": [ { "term": "1072", "count": 14, "sections": 1, "gpa": 3.7142857142857144 } ] }, { "uid": "instructor_887db11b8e1e077c34b71053", "name": "CRISTIAN ESTAN", "count": 13, "terms": [ { "term": "1084", "count": 13, "sections": 1, "gpa": 3.769230769230769 } ] }, { "uid": "instructor_382bae73ea8662f85f925c70", "name": "ERIC BACH", "count": 12, "terms": [ { "term": "1132", "count": 12, "sections": 1, "gpa": 3.75 } ] }, { "uid": "instructor_1de4de258bced02b550321a6", "name": "DIMITRIOS PAPAILIOPOULOS", "count": 9, "terms": [ { "term": "1184", "count": 9, "sections": 1, "gpa": 3.9444444444444446 } ] } ] ``` ## following None recorded.