# COMPSCI 320: Data Science Programming II | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_320) ## 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 cdfe503b539f3c01245fcb03c155686b8c0be64da31bc9e096e9467c16b47d0e ### course id COMPSCI 320 ### course uid course\_1dae8ec78980ea57dc44f5c9 ### catalog version id 89f3dc8daefc89a8a3fb180ae8a35a10188f55959e148ed70977ddbf7ba26b9f ### course number 320 ### subjects * COMPSCI ### title DATA SCIENCE PROGRAMMING II ### description Intermediate approach to Data Science programming using Python. Experience with basic tabular analysis in Python is assumed. Learn to implement data structures (e.g., graphs) to efficiently represent datasets. Software-engineering tools such as version control and Python virtual environments will be introduced, with an emphasis on reproducibility of analysis. Tracing and A/B testing will be introduced as techniques for generating meaningful datasets. Introduces basic classification, clustering, optimization, and simulation techniques. Plotting and visual communication will be emphasized throughout the course. ### requirements text COMP SCI 220(or COMP SCI 301 prior to Spring 2020),COMP SCI 300,319, graduate/professional standing, or declared in the Computer Sciences for Professionals Capstone Certificate ### credits min 4 ### credits max 4 ### credit offering ids * 1272:266:025499 ### llm job id enrich-ecd149b6a6e0877fce2f3d1c ### llm output id 38b4feb19acf6de7f2d2882ecc7e787853bea3050d3022d5bd081aa05c1e9657 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary COMPSCI 320 teaches intermediate data science programming in Python, covering data structures, reproducibility, and machine learning techniques. ### llm topics * Data structures (graphs) * Software engineering tools (version control, virtual environments) * Tracing and A/B testing * Classification, clustering, optimization, simulation ### llm skills * Reproducible analysis with version control * Tracing and A/B testing * Classification, clustering, optimization, and simulation * Plotting and visual communication ### llm assumed background * Basic tabular analysis in Python * Data structures implementation ### llm search phrases * data science programming python * intermediate data science * python data structures graphs * reproducible data analysis ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash a18ba66326466987a28fcb4ea2ab54a5a3ed5f27a7de02dfaaf90aaeab177375 #### course id COMPSCI 320 #### current instructors ```json [ { "instructor_uid": "instructor_5394499ae5a131961f7fff09", "message": null, "name": "Gurmail Singh", "review_status": "supported", "rmp_instructor_id": "rmp:2831641", "summary": [ { "citations": [ { "instructor_name": "Gurmail Singh", "review_date": "2024-05-02 23:07:49 +0000 UTC", "review_id": "b396f8717b3346bd256ac68a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTM5Mjg3Mzky", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" }, { "instructor_name": "Gurmail Singh", "review_date": "2025-01-16 20:31:08 +0000 UTC", "review_id": "0cc1df17e9d36adaf2a6eb07", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTQwNTYyMjMy", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" }, { "instructor_name": "Gurmail Singh", "review_date": "2025-08-07 16:02:57 +0000 UTC", "review_id": "ed7ef7c504c48ed1c160e30b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTQxNTU1NTYy", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" }, { "instructor_name": "Gurmail Singh", "review_date": "2026-01-10 19:35:13 +0000 UTC", "review_id": "57bac91dc85430849eddc8d2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTQyNDcyNzcz", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" } ], "text": "Gurmail Singh is described as caring, reachable, and easy to talk to, with students recommending him highly. Reviewers note his grading is fair and simple, often facilitated by generous extra credit opportunities on exams and assignments." }, { "citations": [ { "instructor_name": "Gurmail Singh", "review_date": "2024-02-04 22:24:57 +0000 UTC", "review_id": "e926c19c99006213aada2443", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTM4OTUxMTEy", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" }, { "instructor_name": "Gurmail Singh", "review_date": "2024-11-25 00:46:39 +0000 UTC", "review_id": "e02c34a35a40822d9ad85a41", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTQwMDI1MTQ2", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" }, { "instructor_name": "Gurmail Singh", "review_date": "2025-05-01 20:30:58 +0000 UTC", "review_id": "6eea25ca64171a4aec4b321d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTQxMTIzNzkx", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" }, { "instructor_name": "Gurmail Singh", "review_date": "2025-05-10 03:17:05 +0000 UTC", "review_id": "cb75510a4fa481863cda3993", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTQxMjM0MTg5", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" }, { "instructor_name": "Gurmail Singh", "review_date": "2025-12-17 05:06:50 +0000 UTC", "review_id": "38e22b7af325e20035a4bc5f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTQyMzAzNTQ1", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" } ], "text": "Critics report that Singh rarely explains material well, with lectures described as confusing, inconsistent, or poorly spoken. Some students found the lectures boring or disorganized, relying instead on recorded materials or TAs for understanding the content." }, { "citations": [ { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.83 GPA, 91.9% A/AB (n=455 letter grades); Fall 2025: 3.80 GPA, 91.1% A/AB (n=460 letter grades); Spring 2026: 3.77 GPA, 90.1% A/AB (n=365 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload The workload consists of biweekly projects, midterms, and a final, with exams being online and attendance effectively optional due to full credit policies. ```json { "citations": [ { "instructor_name": "Gurmail Singh", "review_date": "2024-05-02 23:07:49 +0000 UTC", "review_id": "b396f8717b3346bd256ac68a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTM5Mjg3Mzky", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" }, { "instructor_name": "Gurmail Singh", "review_date": "2026-01-10 19:35:13 +0000 UTC", "review_id": "57bac91dc85430849eddc8d2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTQyNDcyNzcz", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Peyman Morteza describe him as patient and helpful during office hours. ```json { "citations": [ { "instructor_name": "Peyman Morteza", "review_date": "2021-01-29 02:02:54 +0000 UTC", "review_id": "84bf89b9abafaab6309b4d36", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2612724", "source_review_id": "UmF0aW5nLTM0MzI1OTcz", "source_url": "https://www.ratemyprofessors.com/professor/2612724", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Gurmail Singh is praised by some students as an easy, caring instructor who offers generous extra credit and simple grading, making the course accessible for those who follow project directions. ```json { "citations": [ { "instructor_name": "Gurmail Singh", "review_date": "2024-05-02 23:07:49 +0000 UTC", "review_id": "b396f8717b3346bd256ac68a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTM5Mjg3Mzky", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" }, { "instructor_name": "Gurmail Singh", "review_date": "2026-01-10 19:35:13 +0000 UTC", "review_id": "57bac91dc85430849eddc8d2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTQyNDcyNzcz", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.83 GPA, 91.9% A/AB (n=455 letter grades); Fall 2025: 3.80 GPA, 91.1% A/AB (n=460 letter grades); Spring 2026: 3.75 GPA, 88.9% A/AB (n=488 letter grades). ```json { "citations": [ { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Many reviewers criticize Singh's lectures as confusing, inconsistent, and poorly explained, noting that students often rely on recorded lectures from previous instructors or office hours with helpful TAs. ```json { "citations": [ { "instructor_name": "Gurmail Singh", "review_date": "2024-11-25 00:46:39 +0000 UTC", "review_id": "e02c34a35a40822d9ad85a41", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTQwMDI1MTQ2", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" }, { "instructor_name": "Gurmail Singh", "review_date": "2025-05-01 20:30:58 +0000 UTC", "review_id": "6eea25ca64171a4aec4b321d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTQxMTIzNzkx", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" }, { "instructor_name": "Gurmail Singh", "review_date": "2025-05-10 03:17:05 +0000 UTC", "review_id": "cb75510a4fa481863cda3993", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2831641", "source_review_id": "UmF0aW5nLTQxMjM0MTg5", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history GURMAIL SINGH is recorded teaching in Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` MEENAKSHI SYAMKUMAR is recorded teaching in Spring 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" } ] } ``` YIYIN SHEN is recorded teaching in Fall 2022, Fall 2023, Spring 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" } ] } ``` YOUNG WU is recorded teaching in Fall 2023, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 320", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "source_record": { "entity_id": "b2107f35-bc8a-3ce0-b17e-4270f762d07b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "req_220", "req_301_cond", "req_300", "req_319", "req_grad", "req_capstone" ], "condition": null, "course": null, "evidence": "COMP SCI 220(or COMP SCI 301 prior to Spring 2020),COMP SCI 300,319, graduate/professional standing, or declared in the Computer Sciences for Professionals Capstone Certificate", "id": "root", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 220, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 220", "id": "req_220", "kind": "course" }, { "children": [], "condition": "COMP SCI 301 prior to Spring 2020", "course": null, "evidence": "COMP SCI 301", "id": "req_301_cond", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 300", "id": "req_300", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 319, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "319", "id": "req_319", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "req_grad", "kind": "condition" }, { "children": [], "condition": "declared in the Computer Sciences for Professionals Capstone Certificate", "course": null, "evidence": "declared in the Computer Sciences for Professionals Capstone Certificate", "id": "req_capstone", "kind": "condition" } ] ``` #### notes * COMP SCI 301 is referenced in requirements but not in linked\_courses, so it's preserved as a condition node with verbatim source clause and status needs\_review. #### root root #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_5394499ae5a131961f7fff09", "source": "enrollment", "source_instructor_id": "gsingh58", "identity_basis": "netid", "identity_status": "source_identified", "name": "Gurmail Singh", "email": "GURMAIL.SINGH@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", "ratings": { "review_count": 71, "quality": 2.99, "difficulty": 2.85, "quality_count": 71, "difficulty_count": 71, "profile_id": "rmp:2831641", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "match_basis": "exact_name", "observed_at": "2026-09-07 16:37:52.682667+00:00", "courses": { "course_1dae8ec78980ea57dc44f5c9": { "review_count": 50, "quality": 3.36, "difficulty": 2.7, "quality_count": 50, "difficulty_count": 50 }, "course_834bc468ca49d8090d0f211f": { "review_count": 20, "quality": 2.15, "difficulty": 3.2, "quality_count": 20, "difficulty_count": 20 } }, "bayesian_quality": 3.1371836886915596, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/GURMAIL_SINGH" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:266:025499", "course_id": "COMPSCI 320", "course_uid": "course_1dae8ec78980ea57dc44f5c9", "term_id": "1272", "source_course_id": "025499", "source_subject_id": "266", "title": "Data Science Programming II", "credits_min": 4, "credits_max": 4, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:21112", "term_id": "1272", "source_section_id": "21112", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 0, "enrolled": 197, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:21113", "term_id": "1272", "source_section_id": "21113", "identity_basis": "class_number", "section_number": "311", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 51, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:21114", "term_id": "1272", "source_section_id": "21114", "identity_basis": "class_number", "section_number": "312", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 48, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:21115", "term_id": "1272", "source_section_id": "21115", "identity_basis": "class_number", "section_number": "313", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 48, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:21464", "term_id": "1272", "source_section_id": "21464", "identity_basis": "class_number", "section_number": "314", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 50, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:22254", "term_id": "1272", "source_section_id": "22254", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 0, "enrolled": 195, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:22255", "term_id": "1272", "source_section_id": "22255", "identity_basis": "class_number", "section_number": "321", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 50, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:22256", "term_id": "1272", "source_section_id": "22256", "identity_basis": "class_number", "section_number": "322", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 50, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:22257", "term_id": "1272", "source_section_id": "22257", "identity_basis": "class_number", "section_number": "323", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 49, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:22258", "term_id": "1272", "source_section_id": "22258", "identity_basis": "class_number", "section_number": "324", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 46, "waitlisted": 0, "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_24115bb8ef1534c6625c66f2", "source": "madgrades", "source_instructor_id": "6219600", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SACHA JUNGERMAN", "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": 3.787, "graded": 61, "counts": [ 42, 12, 7, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/SACHA_JUNGERMAN" }, { "instructor_uid": "instructor_2b94ecb16c589a9081acf4b9", "source": "madgrades", "source_instructor_id": "5414547", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOSEPH MOHR", "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": 3.787, "graded": 61, "counts": [ 42, 12, 7, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/JOSEPH_MOHR" }, { "instructor_uid": "instructor_50ea4d24f4f9325e83453e95", "source": "madgrades", "source_instructor_id": "6213367", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHRI SHRUTHI SHRIDHAR", "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": 3.787, "graded": 61, "counts": [ 42, 12, 7, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/SHRI_SHRUTHI_SHRIDHAR" }, { "instructor_uid": "instructor_c6356d47f3e8baf96e13074b", "source": "madgrades", "source_instructor_id": "4111767", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TYLER CARAZA-HARTER", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": 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"name": "ANA KLABJAN", "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": 3.427, "graded": 670, "counts": [ 249, 202, 142, 48, 21, 5, 3 ], "sections": 4 }, "instructor_url": "/instructors/ANA_KLABJAN" }, { "instructor_uid": "instructor_59c84201597a7deeeb214791", "source": "madgrades", "source_instructor_id": "6376244", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YIYIN SHEN", "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": 13, "quality": 2.62, "difficulty": 3.08, "quality_count": 13, "difficulty_count": 13, "profile_id": "rmp:2930244", "source_url": "https://www.ratemyprofessors.com/professor/2930244", "match_basis": "exact_name", "observed_at": "2026-09-07 15:57:39.943117+00:00", "courses": { "course_6e524f2d6f14b4e14c7ac770": { 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"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_6d94e970032c92a41ffed8e9", "source": "madgrades", "source_instructor_id": "506546", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANDREW KUEMMEL", "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": 53, "quality": 3.83, "difficulty": 2.57, "quality_count": 53, "difficulty_count": 53, "profile_id": "rmp:1780137", "source_url": "https://www.ratemyprofessors.com/professor/1780137", "match_basis": "exact_name", "observed_at": "2026-09-07 16:55:25.683249+00:00", "courses": { "course_9b1d5f832c492d1c4a3ce19c": { "review_count": 16, "quality": 3.06, "difficulty": 2.75, "quality_count": 16, "difficulty_count": 16 }, "course_834bc468ca49d8090d0f211f": { "review_count": 11, "quality": 4.18, "difficulty": 2.91, "quality_count": 11, "difficulty_count": 11 }, "course_225541a560a0e4df0ee57e76": { "review_count": 2, "quality": 5, "difficulty": 1, "quality_count": 2, "difficulty_count": 2 }, "course_583cd0f265d9f29704ca13ea": { "review_count": 3, "quality": 3, "difficulty": 1.67, "quality_count": 3, "difficulty_count": 3 }, "course_37a551eb9007bebe6a41c6b3": { "review_count": 2, "quality": 4.5, "difficulty": 1.5, "quality_count": 2, "difficulty_count": 2 }, "course_15b3f0bfce126907b8d418aa": { "review_count": 4, "quality": 4.5, "difficulty": 2.75, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 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"source_instructor_id": "6296387", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DANIEL MCNEELA", "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": 3.408, "graded": 327, "counts": [ 173, 47, 58, 20, 13, 8, 8 ], "sections": 2 }, "instructor_url": "/instructors/DANIEL_MCNEELA--instructor_15bcf378813077e24bca6aa9" }, { "instructor_uid": "instructor_1afe126ef2208d3aeae46f50", "source": "madgrades", "source_instructor_id": "6365728", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RAHUL CHUNDURU", "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": 3.51, "graded": 721, "counts": [ 398, 128, 103, 42, 33, 11, 6 ], "sections": 4 }, "instructor_url": "/instructors/RAHUL_CHUNDURU--instructor_1afe126ef2208d3aeae46f50" }, { 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"instructor_27d53d9e116429d36869a95e", "source": "madgrades", "source_instructor_id": "6149936", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WILLIAM CONG", "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": 3.419, "graded": 861, "counts": [ 379, 190, 199, 45, 16, 21, 11 ], "sections": 5 }, "instructor_url": "/instructors/WILLIAM_CONG--instructor_27d53d9e116429d36869a95e" }, { "instructor_uid": "instructor_4a010badedddc5ca067bb71f", "source": "madgrades", "source_instructor_id": "5064249", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BOWMAN BROWN", "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": 3.596, "graded": 417, "counts": [ 245, 78, 68, 13, 2, 6, 5 ], "sections": 2 }, "instructor_url": 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"source": "madgrades", "source_instructor_id": "6554810", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TUNAN WANG", "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": 3.459, "graded": 1138, "counts": [ 518, 267, 238, 57, 27, 19, 12 ], "sections": 8 }, "instructor_url": "/instructors/TUNAN_WANG" }, { "instructor_uid": "instructor_87bb8ecef643777802cf805f", "source": "madgrades", "source_instructor_id": "6224895", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALEX PESECKIS", "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": 3.392, "graded": 1250, "counts": [ 581, 221, 273, 74, 56, 26, 19 ], "sections": 7 }, "instructor_url": "/instructors/ALEX_PESECKIS--instructor_87bb8ecef643777802cf805f" }, { 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"sections": 2 }, "instructor_url": "/instructors/HAO_WU--instructor_4fdc2900f11bc36cf6346408" }, { "instructor_uid": "instructor_816b5601dbc568fac3a60703", "source": "madgrades", "source_instructor_id": "6657877", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DANG PHAM", "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": 3.818, "graded": 645, "counts": [ 510, 85, 34, 6, 3, 2, 5 ], "sections": 3 }, "instructor_url": "/instructors/DANG_PHAM--instructor_816b5601dbc568fac3a60703" }, { "instructor_uid": "instructor_9f1250e42b0f1c1c70bfe680", "source": "madgrades", "source_instructor_id": "6647050", "identity_basis": "source_id", "identity_status": "source_identified", "name": "AVERY GUMP", "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": 3.798, 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"grade_statistics": { "gpa": 3.625, "graded": 768, "counts": [ 501, 120, 67, 34, 35, 4, 7 ], "sections": 4 }, "instructor_url": "/instructors/JINGXIN_DU--instructor_d02bf6030508787abbe2f84e" }, { "instructor_uid": "instructor_557bb26be47420aafdd66078", "source": "madgrades", "source_instructor_id": "6222606", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DONGHYUN LEE", "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": 15, "quality": 2.07, "difficulty": 3.93, "quality_count": 15, "difficulty_count": 15, "profile_id": "rmp:2142977", "source_url": "https://www.ratemyprofessors.com/professor/2142977", "match_basis": "exact_name", "observed_at": "2026-09-07 16:43:18.913364+00:00", "courses": { "course_eec4aae06b946a73f1878be4": { "review_count": 12, "quality": 1.83, "difficulty": 4.08, "quality_count": 12, "difficulty_count": 12 }, "course_fa53f4954bab469b5d4c4fe3": { "review_count": 2, "quality": 3, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 }, "course_4aa5bbed0c86993f5f0dc832": { "review_count": 1, "quality": 3, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 2.9783918763123403, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.77, "graded": 355, "counts": [ 259, 59, 23, 6, 5, 2, 1 ], "sections": 2 }, "instructor_url": "/instructors/DONGHYUN_LEE--instructor_557bb26be47420aafdd66078" }, { "instructor_uid": "instructor_6d873e8cc906e72c5cff1825", "source": "madgrades", "source_instructor_id": "6646904", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GAURAV BATRA", "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": 3.783, "graded": 410, "counts": [ 308, 62, 29, 2, 4, 2, 3 ], "sections": 2 }, "instructor_url": "/instructors/GAURAV_BATRA--instructor_6d873e8cc906e72c5cff1825" }, { "instructor_uid": "instructor_86e8d7d0423592acb61886c5", "source": "madgrades", "source_instructor_id": "6071365", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YUHENG WU", "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": 3.426, "graded": 1287, "counts": [ 502, 355, 312, 58, 30, 18, 12 ], "sections": 10 }, "instructor_url": "/instructors/YUHENG_WU" }, { "instructor_uid": "instructor_0e80532f040845802e669e3e", "source": "madgrades", "source_instructor_id": "6759871", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PRASHANT GOKHALE", "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": 3.553, "graded": 264, "counts": [ 154, 40, 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3.173, "graded": 1397, "counts": [ 402, 263, 395, 194, 102, 30, 11 ], "sections": 6 }, "instructor_url": "/instructors/THINH_NGUYEN" }, { "instructor_uid": "instructor_c7c5862906e978145b431d0e", "source": "madgrades", "source_instructor_id": "6765876", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YANGFAN HU", "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": 3.75, "graded": 166, "counts": [ 124, 22, 10, 5, 2, 3, 0 ], "sections": 2 }, "instructor_url": "/instructors/YANGFAN_HU" }, { "instructor_uid": "instructor_ef2ad9d440bb561269b5359c", "source": "madgrades", "source_instructor_id": "5413176", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SANGWOO SHIN", "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": 3.73, "graded": 378, "counts": [ 239, 99, 33, 1, 2, 2, 2 ], "sections": 2 }, "instructor_url": "/instructors/SANGWOO_SHIN--instructor_ef2ad9d440bb561269b5359c" }, { "instructor_uid": "instructor_ff6f0789721eac00191d94aa", "source": "madgrades", "source_instructor_id": "6548003", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHENGYUAN YANG", "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": 3.435, "graded": 585, "counts": [ 300, 112, 73, 39, 45, 11, 5 ], "sections": 6 }, "instructor_url": "/instructors/SHENGYUAN_YANG--instructor_ff6f0789721eac00191d94aa" }, { "instructor_uid": "instructor_5394499ae5a131961f7fff09", "source": "enrollment", "source_instructor_id": "gsingh58", "identity_basis": "netid", "identity_status": "source_identified", "name": "Gurmail Singh", "email": "GURMAIL.SINGH@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", "ratings": { "review_count": 71, "quality": 2.99, "difficulty": 2.85, "quality_count": 71, "difficulty_count": 71, "profile_id": "rmp:2831641", "source_url": "https://www.ratemyprofessors.com/professor/2831641", "match_basis": "exact_name", "observed_at": "2026-09-07 16:37:52.682667+00:00", "courses": { "course_1dae8ec78980ea57dc44f5c9": { "review_count": 50, "quality": 3.36, "difficulty": 2.7, "quality_count": 50, "difficulty_count": 50 }, "course_834bc468ca49d8090d0f211f": { "review_count": 20, "quality": 2.15, "difficulty": 3.2, "quality_count": 20, "difficulty_count": 20 } }, "bayesian_quality": 3.1371836886915596, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/GURMAIL_SINGH" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 320", "course_uid": "course_1dae8ec78980ea57dc44f5c9", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "JOSEPH MOHR", "SACHA JUNGERMAN", "SHRI SHRUTHI SHRIDHAR", "Tyler Caraza-Harter" ], "a": 60, "ab": 24, "b": 11, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 15, "unsatisfactory": 5, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 116, "source_aliases": [ "COMPSCI 320" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 320", "course_uid": "course_1dae8ec78980ea57dc44f5c9", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Tyler Caraza-Harter" ], "a": 64, "ab": 27, "b": 15, "bc": 8, "c": 0, "d": 3, "f": 5, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 1, "total": 127, "source_aliases": [ "COMPSCI 320" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 320", "course_uid": "course_1dae8ec78980ea57dc44f5c9", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Tyler Caraza-Harter" ], "a": 120, "ab": 92, "b": 43, "bc": 39, "c": 6, "d": 11, "f": 8, "satisfactory": 0, "unsatisfactory": 1, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 322, "source_aliases": [ "COMPSCI 320" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 320", "course_uid": "course_1dae8ec78980ea57dc44f5c9", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Tyler Caraza-Harter" ], "a": 170, "ab": 93, "b": 72, "bc": 26, "c": 16, "d": 7, "f": 7, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 395, "source_aliases": [ "COMPSCI 320" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 320", "course_uid": "course_1dae8ec78980ea57dc44f5c9", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "ANA KLABJAN", "HAOTIAN MA", "IVAN JAEN MARQUEZ", "POULAMI PAUL", "Tyler Caraza-Harter", "YIBING WEI", "YIYIN SHEN" ], "a": 97, "ab": 132, "b": 123, "bc": 27, "c": 10, "d": 3, "f": 10, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 9, "no_work": 1, "not_reported": 1, "other": 0, "total": 413, "source_aliases": [ "COMPSCI 320" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 320", "course_uid": "course_1dae8ec78980ea57dc44f5c9", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Andrew Kuemmel", "Meena Syamkumar" ], "a": 107, "ab": 103, "b": 102, "bc": 25, "c": 9, "d": 6, "f": 5, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 360, "source_aliases": [ "COMPSCI 320" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 320", "course_uid": "course_1dae8ec78980ea57dc44f5c9", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "DANIEL MCNEELA", "ELLIOT PICKENS", "IVAN JAEN MARQUEZ", "Jing Wang", "KARTHIK SURESH", "LEITIAN TAO", "LUKE DOTSON", "RAHUL CHUNDURU", "YIYIN SHEN", "Young Wu" ], "a": 204, "ab": 63, "b": 60, "bc": 17, "c": 11, "d": 7, "f": 7, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 369, "source_aliases": [ "COMPSCI 320" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 320", "course_uid": "course_1dae8ec78980ea57dc44f5c9", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "ALEXANDER CLINTON", "BOWMAN BROWN", "ELLIOT PICKENS", "Gurmail Singh", "HAFEEZ ALI ANEES ALI", "Jing Wang", "RAHUL CHUNDURU", "WILLIAM CONG", "YIYIN SHEN" ], "a": 366, "ab": 77, "b": 42, "bc": 10, "c": 5, "d": 2, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 506, "source_aliases": [ "COMPSCI 320" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 320", "course_uid": "course_1dae8ec78980ea57dc44f5c9", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "ALEX PESECKIS", "BENJAMIN JACOBSEN", "EDWARD HALIM", "FANCHAO CHEN", "GIANNIS IAKOVIDIS", "Gurmail Singh", "JIANGYI LIU", "MUHAMMAD MUSA", "TUNAN WANG", "ZHEYANG XIONG" ], "a": 322, "ab": 81, "b": 39, "bc": 7, "c": 5, "d": 4, "f": 4, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 462, "source_aliases": [ "COMPSCI 320" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 320", "course_uid": "course_1dae8ec78980ea57dc44f5c9", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "ALEXANDER CLINTON", "AVERY GUMP", "DANG PHAM", "EDWARD HALIM", "Gurmail Singh", "Hao Wu", "JINGXIN DU", "MUHAMMAD MUSA", "NICHOLAS RUSSELL", "YUNFU DENG" ], "a": 368, "ab": 50, "b": 24, "bc": 4, "c": 7, "d": 1, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 456, "source_aliases": [ "COMPSCI 320" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 320", "course_uid": "course_1dae8ec78980ea57dc44f5c9", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "ALEXANDER CLINTON", "DANG PHAM", "DONGHYUN LEE", "EDWARD HALIM", "GAURAV BATRA", "Gurmail Singh", "Hao Wu", "JINGXIN DU", "MUHAMMAD MUSA", "Young Wu" ], "a": 354, "ab": 65, "b": 29, "bc": 4, "c": 3, "d": 2, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 460, "source_aliases": [ "COMPSCI 320" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 320", "course_uid": "course_1dae8ec78980ea57dc44f5c9", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "DANG PHAM", "DEVESH MAHESHWARI", "DONGHYUN LEE", "GAURAV BATRA", "Gurmail Singh", "MUHAMMAD MUSA", "PRASHANT GOKHALE", "SANGWOO SHIN", "SHENGYUAN YANG", "THINH NGUYEN", "YANGFAN HU", "Young Wu" ], "a": 355, "ab": 79, "b": 35, "bc": 7, "c": 5, "d": 3, "f": 4, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 488, "source_aliases": [ "COMPSCI 320" ] } ] ``` ### statistics #### gpa 3.587 #### graded 4426 #### counts * 2587 * 886 * 595 * 175 * 77 * 49 * 57 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_1dae8ec78980ea57dc44f5c9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_1dae8ec78980ea57dc44f5c9-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_1dae8ec78980ea57dc44f5c9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_1dae8ec78980ea57dc44f5c9-0.json) * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_1dae8ec78980ea57dc44f5c9-1.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_1dae8ec78980ea57dc44f5c9-1.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_1dae8ec78980ea57dc44f5c9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_1dae8ec78980ea57dc44f5c9-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_1dae8ec78980ea57dc44f5c9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_1dae8ec78980ea57dc44f5c9-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_1dae8ec78980ea57dc44f5c9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_1dae8ec78980ea57dc44f5c9-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.5866470854044286 #### count 4426 #### university ##### size 4688 ##### gpa Percentile 27 ##### count Percentile 99 ##### median Count 135 ##### 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 | 10 | false | | 2.8–3.2 | 217 | false | | 3.2–3.6 | 1120 | true | | 3.6–4.0 | 3341 | false | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 105, "gpaPercentile": 41, "countPercentile": 91, "medianCount": 268, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 31, "current": true }, { "range": "3.6–4.0", "count": 61, "current": false } ] } } ] ``` ### terms #### 1204 ##### term 1204 ##### gpa 3.7447916666666665 ##### count 96 ##### university ###### size 1012 ###### gpa Percentile 51 ###### count Percentile 69 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 71, "countPercentile": 51, "medianCount": 90.5, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 19, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.430327868852459 ##### count 122 ##### university ###### size 1111 ###### gpa Percentile 29 ###### count Percentile 73 ###### 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 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 46, "countPercentile": 56, "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": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.2962382445141065 ##### count 319 ##### university ###### size 1157 ###### gpa Percentile 22 ###### count Percentile 94 ###### 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 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 40, "countPercentile": 80, "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": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.3900255754475705 ##### count 391 ##### university ###### size 1171 ###### gpa Percentile 28 ###### count Percentile 95 ###### 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 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 45, "gpaPercentile": 48, "countPercentile": 80, "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": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.2574626865671643 ##### count 402 ##### university ###### size 1216 ###### gpa Percentile 19 ###### count Percentile 95 ###### 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 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 50, "gpaPercentile": 20, "countPercentile": 82, "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": true }, { "range": "3.6–4.0", "count": 22, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.3081232492997197 ##### count 357 ##### university ###### size 1188 ###### gpa Percentile 22 ###### count Percentile 94 ###### 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 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 38, "countPercentile": 80, "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": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.4905149051490514 ##### count 369 ##### university ###### size 1295 ###### gpa Percentile 33 ###### count Percentile 94 ###### 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 | true | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 45, "countPercentile": 82, "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": true }, { "range": "3.6–4.0", "count": 22, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.7554455445544552 ##### count 505 ##### university ###### size 1241 ###### gpa Percentile 62 ###### count Percentile 97 ###### 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 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 71, "countPercentile": 87, "medianCount": 116, "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": 18, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.722943722943723 ##### count 462 ##### university ###### size 1333 ###### gpa Percentile 56 ###### count Percentile 96 ###### 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": 64, "countPercentile": 83, "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 } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.832967032967033 ##### count 455 ##### university ###### size 1289 ###### gpa Percentile 70 ###### count Percentile 97 ###### 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 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 86, "countPercentile": 84, "medianCount": 105, "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": 24, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.8010869565217393 ##### count 460 ##### university ###### size 1320 ###### gpa Percentile 64 ###### count Percentile 96 ###### 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": 75, "countPercentile": 83, "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 } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.7540983606557377 ##### count 488 ##### university ###### size 1283 ###### gpa Percentile 57 ###### count Percentile 97 ###### 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 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 48, "gpaPercentile": 72, "countPercentile": 87, "medianCount": 105.5, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 21, "current": false }, { "range": "3.6–4.0", "count": 19, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4688 ###### gpa 3.708883794386634 ###### top Share 84.87993958326464 ###### count 135 ##### COMPSCI ###### size 105 ###### gpa 3.611561845334185 ###### top Share 79.74531613419184 ###### count 268 #### terms ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### COMPSCI ###### size 42 ###### gpa 3.6240893265324647 ###### top Share 79.98991493017058 ###### count 90.5 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### COMPSCI ###### size 46 ###### gpa 3.477413782571094 ###### top Share 70.8725394264854 ###### count 116 ##### 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 ##### 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 ##### 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 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### COMPSCI ###### size 48 ###### gpa 3.5022746140005943 ###### top Share 73.13318776233326 ###### count 105.5 ## instructor Trends ```json [ { "uid": "instructor_4fd18c1e2d3eb74f6bca507b", "name": "GURMAIL SINGH", "count": 2104, "terms": [ { "term": "1244", "count": 362, "sections": 2, "gpa": 3.819060773480663 }, { "term": "1252", "count": 462, "sections": 2, "gpa": 3.722943722943723 }, { "term": "1254", "count": 455, "sections": 2, "gpa": 3.832967032967033 }, { "term": "1262", "count": 460, "sections": 2, "gpa": 3.8010869565217393 }, { "term": "1264", "count": 365, "sections": 2, "gpa": 3.7684931506849315 } ] }, { "uid": "instructor_c6356d47f3e8baf96e13074b", "name": "TYLER CARAZA-HARTER", "count": 1330, "terms": [ { "term": "1204", "count": 96, "sections": 2, "gpa": 3.7447916666666665 }, { "term": "1212", "count": 122, "sections": 1, "gpa": 3.430327868852459 }, { "term": "1222", "count": 319, "sections": 2, "gpa": 3.2962382445141065 }, { "term": "1224", "count": 391, "sections": 2, "gpa": 3.3900255754475705 }, { "term": "1232", "count": 402, "sections": 2, "gpa": 3.2574626865671643 } ] }, { "uid": "instructor_f464ab8077e2054f02594423", "name": "MUHAMMAD MUSA", "count": 1107, "terms": [ { "term": "1252", "count": 462, "sections": 2, "gpa": 3.722943722943723 }, { "term": "1254", "count": 230, "sections": 1, "gpa": 3.867391304347826 }, { "term": "1262", "count": 228, "sections": 1, "gpa": 3.800438596491228 }, { "term": "1264", "count": 187, "sections": 1, "gpa": 3.77807486631016 } ] }, { "uid": "instructor_561aabcf98f297a6efb341be", "name": "EDWARD HALIM", "count": 919, "terms": [ { "term": "1252", "count": 462, "sections": 2, "gpa": 3.722943722943723 }, { "term": "1254", "count": 225, "sections": 1, "gpa": 3.7977777777777777 }, { "term": "1262", "count": 232, "sections": 1, "gpa": 3.8017241379310347 } ] }, { "uid": "instructor_59c84201597a7deeeb214791", "name": "YIYIN SHEN", "count": 719, "terms": [ { "term": "1232", "count": 207, "sections": 1, "gpa": 3.157004830917874 }, { "term": "1242", "count": 369, "sections": 2, "gpa": 3.4905149051490514 }, { "term": "1244", "count": 143, "sections": 1, "gpa": 3.5944055944055946 } ] }, { "uid": "instructor_816b5601dbc568fac3a60703", "name": "DANG PHAM", "count": 645, "terms": [ { "term": "1254", "count": 230, "sections": 1, "gpa": 3.867391304347826 }, { "term": "1262", "count": 228, "sections": 1, "gpa": 3.800438596491228 }, { "term": "1264", "count": 187, "sections": 1, "gpa": 3.77807486631016 } ] }, { "uid": "instructor_930bc0511933fde63bbf77b9", "name": "ALEXANDER CLINTON", "count": 637, "terms": [ { "term": "1244", "count": 180, "sections": 1, "gpa": 3.813888888888889 }, { "term": "1254", "count": 225, "sections": 1, "gpa": 3.7977777777777777 }, { "term": "1262", "count": 232, "sections": 1, "gpa": 3.8017241379310347 } ] }, { "uid": "instructor_b2baa6eb84b1741dc3592e4d", "name": "YOUNG WU", "count": 492, "terms": [ { "term": "1242", "count": 369, "sections": 2, "gpa": 3.4905149051490514 }, { "term": "1264", "count": 123, "sections": 1, "gpa": 3.7113821138211383 } ] }, { "uid": "instructor_012741a1241cc12d425a4863", "name": "JIANGYI LIU", "count": 462, "terms": [ { "term": "1252", "count": 462, "sections": 2, "gpa": 3.722943722943723 } ] }, { "uid": "instructor_2c62a33faf68ea5fd042c63f", "name": "BENJAMIN JACOBSEN", "count": 462, "terms": [ { "term": "1252", "count": 462, "sections": 2, "gpa": 3.722943722943723 } ] }, { "uid": "instructor_3dddbd7a2f7feefc8189830f", "name": "GIANNIS IAKOVIDIS", "count": 462, "terms": [ { "term": "1252", "count": 462, "sections": 2, "gpa": 3.722943722943723 } ] }, { "uid": "instructor_5d7b989ba5c085f095b0af3b", "name": "ZHEYANG XIONG", "count": 462, "terms": [ { "term": "1252", "count": 462, "sections": 2, "gpa": 3.722943722943723 } ] }, { "uid": "instructor_730f480008fffbb27d0034de", "name": "TUNAN WANG", "count": 462, "terms": [ { "term": "1252", "count": 462, "sections": 2, "gpa": 3.722943722943723 } ] }, { "uid": "instructor_87bb8ecef643777802cf805f", "name": "ALEX PESECKIS", "count": 462, "terms": [ { "term": "1252", "count": 462, "sections": 2, "gpa": 3.722943722943723 } ] }, { "uid": "instructor_92ad22b67e47940076446685", "name": "FANCHAO CHEN", "count": 462, "terms": [ { "term": "1252", "count": 462, "sections": 2, "gpa": 3.722943722943723 } ] }, { "uid": "instructor_d02bf6030508787abbe2f84e", "name": "JINGXIN DU", "count": 462, "terms": [ { "term": "1254", "count": 230, "sections": 1, "gpa": 3.867391304347826 }, { "term": "1262", "count": 232, "sections": 1, "gpa": 3.8017241379310347 } ] }, { "uid": "instructor_4fdc2900f11bc36cf6346408", "name": "HAO WU", "count": 458, "terms": [ { "term": "1254", "count": 230, "sections": 1, "gpa": 3.867391304347826 }, { "term": "1262", "count": 228, "sections": 1, "gpa": 3.800438596491228 } ] }, { "uid": "instructor_86e8d7d0423592acb61886c5", "name": "YUHENG WU", "count": 415, "terms": [ { "term": "1262", "count": 228, "sections": 1, "gpa": 3.800438596491228 }, { "term": "1264", "count": 187, "sections": 1, "gpa": 3.77807486631016 } ] }, { "uid": "instructor_6d873e8cc906e72c5cff1825", "name": "GAURAV BATRA", "count": 410, "terms": [ { "term": "1262", "count": 232, "sections": 1, "gpa": 3.8017241379310347 }, { "term": 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3.446236559139785 }, { "term": "1244", "count": 180, "sections": 1, "gpa": 3.813888888888889 } ] }, { "uid": "instructor_6d94e970032c92a41ffed8e9", "name": "ANDREW KUEMMEL", "count": 357, "terms": [ { "term": "1234", "count": 357, "sections": 2, "gpa": 3.3081232492997197 } ] }, { "uid": "instructor_e3bd28389959ce3e3b7e1683", "name": "MEENAKSHI SYAMKUMAR", "count": 357, "terms": [ { "term": "1234", "count": 357, "sections": 2, "gpa": 3.3081232492997197 } ] }, { "uid": "instructor_557bb26be47420aafdd66078", "name": "DONGHYUN LEE", "count": 355, "terms": [ { "term": "1262", "count": 232, "sections": 1, "gpa": 3.8017241379310347 }, { "term": "1264", "count": 123, "sections": 1, "gpa": 3.7113821138211383 } ] }, { "uid": "instructor_4f1134a2ca05a2ddba653c94", "name": "NICHOLAS RUSSELL", "count": 230, "terms": [ { "term": "1254", "count": 230, "sections": 1, "gpa": 3.867391304347826 } ] }, { "uid": "instructor_9f1250e42b0f1c1c70bfe680", "name": "AVERY GUMP", "count": 225, "terms": [ { "term": 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"term": "1264", "count": 123, "sections": 1, "gpa": 3.7113821138211383 } ] }, { "uid": "instructor_ff6f0789721eac00191d94aa", "name": "SHENGYUAN YANG", "count": 123, "terms": [ { "term": "1264", "count": 123, "sections": 1, "gpa": 3.7113821138211383 } ] }, { "uid": "instructor_24115bb8ef1534c6625c66f2", "name": "SACHA JUNGERMAN", "count": 61, "terms": [ { "term": "1204", "count": 61, "sections": 1, "gpa": 3.7868852459016393 } ] }, { "uid": "instructor_2b94ecb16c589a9081acf4b9", "name": "JOSEPH MOHR", "count": 61, "terms": [ { "term": "1204", "count": 61, "sections": 1, "gpa": 3.7868852459016393 } ] }, { "uid": "instructor_50ea4d24f4f9325e83453e95", "name": "SHRI SHRUTHI SHRIDHAR", "count": 61, "terms": [ { "term": "1204", "count": 61, "sections": 1, "gpa": 3.7868852459016393 } ] } ] ``` ## following | code | title | | ------------------ | ------------------------------------------------------------------ | | BMI/COMPSCI 576 | INTRODUCTION TO BIOINFORMATICS | | COMPSCI 540 | INTRODUCTION TO ARTIFICIAL INTELLIGENCE | | COMPSCI 542 | INTRODUCTION TO SOFTWARE SECURITY | | COMPSCI 544 | INTRODUCTION TO BIG DATA SYSTEMS | | COMPSCI 550 | ALGORITHMIC GAME THEORY & LEARNING | | COMPSCI 565 | INTRODUCTION TO DATA VISUALIZATION | | COMPSCI 574 | DATA MANAGEMENT FOR DATA SCIENCE | | COMPSCI 580 | INTELLIGENT ROBOTICS | | COMPSCI/ECE/ME 532 | MATRIX METHODS IN MACHINE LEARNING | | MATH 345 | LINEAR ALGEBRA AND OPTIMIZATION | | ME 459 | COMPUTING CONCEPTS FOR APPLICATIONS IN ENGINEERING | | ME 468 | COMPUTER MODELING AND SIMULATION OF AUTONOMOUS VEHICLES AND ROBOTS | ## projection ### target 1272 ### interval #### lower 3.23 #### upper 3.93 #### coverage 80 #### terms 4 ### gpa 3.5790491297737614 ### grades | grade | percentage | | ----- | ------------------ | | A | 58.26350269032163 | | AB | 20.141627122764287 | | B | 13.282670217949995 | | BC | 4.008998925386107 | | C | 1.6271636190332346 | | D | 1.230372081032844 | | F | 1.4456653435118878 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 2012 ### same Season true ### historical Range * 3.2574626865671643 * 3.8010869565217393 ### backtest #### terms 4 #### gpa Error 0.2493411147948018 #### mix Error 24.792236000312716