# COMPSCI 769: Advanced Natural Language Processing | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_769) ## 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 35044fe5ca854f445f5cd49caf9b28503e61a41342c02a03192f41fe84934a55 ### course id COMPSCI 769 ### course uid course\_111854f79e0c2801d06858c2 ### catalog version id dd4ee304ddbf1ed978b99c7a4ffc1e18e0790ba6fe6313f54ad86ac731c145e5 ### course number 769 ### subjects * COMPSCI ### title ADVANCED NATURAL LANGUAGE PROCESSING ### description Develop algorithms and mathematical models for natural language processing tasks, including text categorization, information retrieval, speech recognition, machine translation, and information extraction. Focus is on the state-of-the-art computational techniques as they are applied to natural language tasks. Students are strongly encouraged to have knowledge of introductory artificial intelligence (e.g.,COMP SCI 540). ### requirements text Graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:266:023006 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id e34a7aee64006b198cc517309e6651d6815422282f7e518adcf507c46c641be1 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary COMPSCI 769 teaches advanced NLP algorithms and models for tasks like text categorization and machine translation. ### llm topics * Text categorization and information retrieval * Speech recognition and machine translation ### llm skills * Developing NLP algorithms and mathematical models * Applying state-of-the-art computational techniques to NLP ### llm assumed background * Foundational AI concepts including search, logic, and machine learning ### llm search phrases * advanced NLP algorithms * computational linguistics graduate course * natural language processing state-of-the-art * text categorization information retrieval ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash f418dbcc388a07007a2f88919050d2d9fced4e01cf60b20cec4ce57694ac0985 #### course id COMPSCI 769 #### current instructors ```json [ { "instructor_uid": "instructor_f42dc7d8918b0fd9b318d556", "message": "No course-specific reviews available", "name": "Lucy Li", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Fall 2023: 3.84 GPA, 93.6% A/AB (n=47 letter grades); Fall 2024: 3.80 GPA, 100.0% A/AB (n=37 letter grades); Fall 2025: 3.80 GPA, 97.8% A/AB (n=45 letter grades). ```json { "citations": [ { "course_id": "COMPSCI 769", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a466149e-f4d5-3329-8ffb-efaa5139f91e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 769", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a466149e-f4d5-3329-8ffb-efaa5139f91e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 769", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a466149e-f4d5-3329-8ffb-efaa5139f91e", "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": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------- | ---------------- | -------------------------------- | -------------------------------- | --------------------- | | instructor\_f42dc7d8918b0fd9b318d556 | enrollment | lli332 | netid | source\_identified | Lucy Li | LLI332\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/LUCY\_LI | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:266:023006", "course_id": "COMPSCI 769", "course_uid": "course_111854f79e0c2801d06858c2", "term_id": "1272", "source_course_id": "023006", "source_subject_id": "266", "title": "Advanced Natural Language Processing", "credits_min": 3, "credits_max": 3, "typically_offered": "Occasionally" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:37236", "term_id": "1272", "source_section_id": "37236", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 36, "waitlisted": 18, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### 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_408e440eac671bfc50d51557", "source": "madgrades", "source_instructor_id": "4848766", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BENJAMIN SNYDER", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", 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"counts": [ 235, 79, 16, 1, 1, 0, 0 ], "sections": 44 }, "instructor_url": "/instructors/JUNJIE_HU--instructor_7ebeaaf8663e4a1b53b6990b" }, { "instructor_uid": "instructor_886bf6ded9cabfbf0404bfc5", "source": "madgrades", "source_instructor_id": "6375158", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YIBING WEI", "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": 3.286, "graded": 252, "counts": [ 74, 79, 69, 15, 5, 1, 9 ], "sections": 2 }, "instructor_url": "/instructors/YIBING_WEI" }, { "instructor_uid": "instructor_f42dc7d8918b0fd9b318d556", "source": "enrollment", "source_instructor_id": "lli332", "identity_basis": "netid", "identity_status": "source_identified", "name": "Lucy Li", "email": "LLI332@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/LUCY_LI" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 769", "course_uid": "course_111854f79e0c2801d06858c2", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "XIAOJIN ZHU" ], "a": 17, "ab": 8, "b": 0, "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 769" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 769", "course_uid": "course_111854f79e0c2801d06858c2", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "XIAOJIN ZHU" ], "a": 8, "ab": 12, "b": 3, "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": 23, "source_aliases": [ "COMPSCI 769" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 769", "course_uid": "course_111854f79e0c2801d06858c2", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "XIAOJIN ZHU" ], "a": 20, "ab": 11, "b": 0, "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": 32, "source_aliases": [ "COMPSCI 769" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 769", "course_uid": "course_111854f79e0c2801d06858c2", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "BENJAMIN SNYDER" ], "a": 20, "ab": 8, "b": 0, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "COMPSCI 769" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 769", "course_uid": "course_111854f79e0c2801d06858c2", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "BENJAMIN SNYDER" ], "a": 10, "ab": 4, "b": 0, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 15, "source_aliases": [ "COMPSCI 769" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 769", "course_uid": "course_111854f79e0c2801d06858c2", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "BENJAMIN SNYDER" ], "a": 19, "ab": 0, "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": 19, "source_aliases": [ "COMPSCI 769" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 769", "course_uid": "course_111854f79e0c2801d06858c2", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Junjie Hu", "YIBING WEI" ], "a": 36, "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": 47, "source_aliases": [ "COMPSCI 769" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 769", "course_uid": "course_111854f79e0c2801d06858c2", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Junjie Hu" ], "a": 43, "ab": 10, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 57, "source_aliases": [ "COMPSCI 769" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 769", "course_uid": "course_111854f79e0c2801d06858c2", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Junjie Hu" ], "a": 35, "ab": 9, "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": 48, "source_aliases": [ "COMPSCI 769" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 769", "course_uid": "course_111854f79e0c2801d06858c2", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Junjie Hu" ], "a": 22, "ab": 15, "b": 0, "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": 38, "source_aliases": [ "COMPSCI 769" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 769", "course_uid": "course_111854f79e0c2801d06858c2", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Junjie Hu" ], "a": 28, "ab": 16, "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 769" ] } ] ``` ### statistics #### gpa 3.818 #### graded 374 #### counts * 258 * 100 * 13 * 2 * 1 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_111854f79e0c2801d06858c2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_111854f79e0c2801d06858c2-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_111854f79e0c2801d06858c2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_111854f79e0c2801d06858c2-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_111854f79e0c2801d06858c2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_111854f79e0c2801d06858c2-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_111854f79e0c2801d06858c2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_111854f79e0c2801d06858c2-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8181818181818183 #### count 374 #### university ##### size 4310 ##### gpa Percentile 64 ##### count Percentile 81 ##### median Count 113 ##### 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 | 19 | false | | 2.8–3.2 | 353 | false | | 3.2–3.6 | 1215 | false | | 3.6–4.0 | 2723 | true | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 94, "gpaPercentile": 75, "countPercentile": 63, "medianCount": 203.5, "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": 15, "current": false }, { "range": "3.2–3.6", "count": 31, "current": false }, { "range": "3.6–4.0", "count": 48, "current": true } ] } } ] ``` ### terms #### 1084 ##### term 1084 ##### gpa 3.84 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1094 ##### term 1094 ##### gpa 3.608695652173913 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1104 ##### term 1104 ##### gpa 3.8225806451612905 ##### count 31 ##### university ###### size 793 ###### gpa Percentile 84 ###### count Percentile 3 ###### 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": 95, "countPercentile": 0, "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 } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 3.75 ##### count 30 ##### university ###### size 804 ###### gpa Percentile 80 ###### count Percentile 0 ###### 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 | 53 | false | | 2.8–3.2 | 231 | false | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 18, "gpaPercentile": 94, "countPercentile": 0, "medianCount": 58, "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": 6, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.7666666666666666 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1134 ##### term 1134 ##### gpa 4 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1224 ##### term 1224 ##### gpa 3.8777777777777778 ##### count 45 ##### university ###### size 1171 ###### gpa Percentile 79 ###### count Percentile 31 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 45, "gpaPercentile": 89, "countPercentile": 14, "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": 11, "current": false }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.8421052631578947 ##### count 57 ##### university ###### size 1188 ###### gpa Percentile 73 ###### count Percentile 42 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 84, "countPercentile": 27, "medianCount": 111, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 26, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.8404255319148937 ##### count 47 ##### university ###### size 1295 ###### gpa Percentile 72 ###### count Percentile 33 ###### 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": 78, "countPercentile": 25, "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 } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.7972972972972974 ##### count 37 ##### university ###### size 1333 ###### gpa Percentile 66 ###### count Percentile 15 ###### 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 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 54, "gpaPercentile": 74, "countPercentile": 11, "medianCount": 101, "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": 22, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.8 ##### count 45 ##### university ###### size 1320 ###### gpa Percentile 64 ###### count Percentile 27 ###### 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": 73, "countPercentile": 13, "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 4310 ###### gpa 3.6515452382289655 ###### top Share 81.24375361293514 ###### count 113 ##### COMPSCI ###### size 94 ###### gpa 3.5755118035422564 ###### top Share 77.90437884713229 ###### count 203.5 #### terms ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### COMPSCI ###### size 46 ###### gpa 3.457340982461054 ###### top Share 70.00975704504911 ###### count 111 ##### 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 ##### 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 ##### 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_7ebeaaf8663e4a1b53b6990b", "name": "JUNJIE HU", "count": 231, "terms": [ { "term": "1224", "count": 45, "sections": 1, "gpa": 3.8777777777777778 }, { "term": "1234", "count": 57, "sections": 1, "gpa": 3.8421052631578947 }, { "term": "1242", "count": 47, "sections": 1, "gpa": 3.8404255319148937 }, { "term": "1252", "count": 37, "sections": 1, "gpa": 3.7972972972972974 }, { "term": "1262", "count": 45, "sections": 1, "gpa": 3.8 } ] }, { "uid": "instructor_74e71544cb072def38511b27", "name": "XIAOJIN ZHU", "count": 79, "terms": [ { "term": "1084", "count": 25, "sections": 1, "gpa": 3.84 }, { "term": "1094", "count": 23, "sections": 1, "gpa": 3.608695652173913 }, { "term": "1104", "count": 31, "sections": 1, "gpa": 3.8225806451612905 } ] }, { "uid": "instructor_408e440eac671bfc50d51557", "name": "BENJAMIN SNYDER", "count": 64, "terms": [ { "term": "1114", "count": 30, "sections": 1, "gpa": 3.75 }, { "term": "1122", "count": 15, "sections": 1, "gpa": 3.7666666666666666 }, { "term": "1134", "count": 19, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_886bf6ded9cabfbf0404bfc5", "name": "YIBING WEI", "count": 45, "terms": [ { "term": "1224", "count": 45, "sections": 1, "gpa": 3.8777777777777778 } ] } ] ``` ## following None recorded.