# COMPSCI 544: Introduction to Big Data Systems | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_544) ## 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 28cc7cb00a8f1d6f226b6d2a1fd0e2b71f5752163255dfa2797fda19af7ca48b ### course id COMPSCI 544 ### course uid course\_4c46b17e9b3f9a4f2ed9a0e9 ### catalog version id 41c4cd3a07eaccd06260851c61e4910e318e234cb8786580afd72488fa8631a0 ### course number 544 ### subjects * COMPSCI ### title INTRODUCTION TO BIG DATA SYSTEMS ### description Deploy and use distributed systems to store and analyze large datasets. Unstructured and structured approaches to storage will be covered. Analysis will involve learning new query languages, processing streaming data, and training machine learning models. Most programming will be done in Python. ### requirements text COMP SCI 320,400, or Graduate/Professional Standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:266:026531 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id df865deff2cd5e537bc59123049adadb820e1c29eafca16b9e0a87f94400d555 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to big data systems focusing on deploying distributed storage and analyzing large datasets using Python. ### llm topics * Structured and unstructured data storage * Query languages * Streaming data processing * Machine learning model training ### llm skills * Deploying and using distributed systems for large-scale data storage and analysis. * Implementing unstructured and structured data storage solutions. * Processing streaming data and training machine learning models. ### llm assumed background * Programming fundamentals in Python, data structures, and software engineering practices. ### llm search phrases * big data systems * distributed storage * streaming data analysis * machine learning deployment * Python data engineering ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 5e842429878a9c851dee7888b1540441979a73f325a36357d62aa419903cce6f #### course id COMPSCI 544 #### current instructors ```json [ { "instructor_uid": "instructor_f5416b5fc6c871363ebcbc1f", "message": null, "name": "Tyler Caraza-Harter", "review_status": "supported", "rmp_instructor_id": "rmp:2950714", "summary": [ { "citations": [ { "instructor_name": "Tyler Caraza-harter", "review_date": "2023-11-16 07:31:07 +0000 UTC", "review_id": "0da88a6185ffe5b5470aec7f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2950714", "source_review_id": "UmF0aW5nLTM4NDAzNDc4", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "type": "review" }, { "instructor_name": "Tyler Caraza-harter", "review_date": "2023-12-22 22:12:16 +0000 UTC", "review_id": "d70a66c20a3260d3cd3ae3a4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2950714", "source_review_id": "UmF0aW5nLTM4Nzc5MTcx", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "type": "review" } ], "text": "Tyler Caraza-Harter is praised as organized and supportive, with clear lectures and abundant materials. Reviewers value his Big Data knowledge and industry focus." }, { "citations": [ { "instructor_name": "Tyler Caraza-harter", "review_date": "2025-09-24 16:39:20 +0000 UTC", "review_id": "fde3fe00124502f5cb111d74", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2950714", "source_review_id": "UmF0aW5nLTQxNjYyNTUz", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "type": "review" }, { "instructor_name": "Tyler Caraza-harter", "review_date": "2025-10-29 20:09:02 +0000 UTC", "review_id": "e002bba4e088e6c2084f0d98", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2950714", "source_review_id": "UmF0aW5nLTQxNzc0ODE0", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "type": "review" }, { "instructor_name": "Tyler Caraza-harter", "review_date": "2026-04-14 21:11:57 +0000 UTC", "review_id": "d3cac07695309e37abfa6006", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2950714", "source_review_id": "UmF0aW5nLTQyODM3MDE2", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "type": "review" } ], "text": "Recent reviews criticize confusing quizzes, fast pacing, and difficult projects. Students report unfair quiz conditions and excessive theory focus." }, { "citations": [ { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.31 GPA, 56.8% A/AB (n=380 letter grades); Fall 2025: 3.33 GPA, 58.9% A/AB (n=270 letter grades); Spring 2026: 3.25 GPA, 53.5% A/AB (n=353 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload Students report the course is time-consuming with confusing exams, unfair quiz conditions, and projects that are overly difficult compared to lecture content. ```json { "citations": [ { "instructor_name": "Tyler Caraza-harter", "review_date": "2025-09-24 16:39:20 +0000 UTC", "review_id": "fde3fe00124502f5cb111d74", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2950714", "source_review_id": "UmF0aW5nLTQxNjYyNTUz", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "type": "review" }, { "instructor_name": "Tyler Caraza-harter", "review_date": "2025-10-29 20:09:02 +0000 UTC", "review_id": "e002bba4e088e6c2084f0d98", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2950714", "source_review_id": "UmF0aW5nLTQxNzc0ODE0", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "type": "review" }, { "instructor_name": "Tyler Caraza-harter", "review_date": "2025-11-18 22:48:56 +0000 UTC", "review_id": "7541bfe5e0580f8d601bcbbd", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2950714", "source_review_id": "UmF0aW5nLTQxODk2NjYz", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "type": "review" }, { "instructor_name": "Tyler Caraza-harter", "review_date": "2025-11-28 01:30:15 +0000 UTC", "review_id": "fd07e5f0dfbcb50c6707e0ef", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2950714", "source_review_id": "UmF0aW5nLTQxOTYyNjMx", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Meenakshi Syamkumar are sharply divided. Some students praised her flexibility, helpful lecture code, and clear explanations, while others criticized her lectures as disorganized, shallow, and harmful to learning. Recent reviews also noted chaotic project management and unfair quiz practices. ```json { "citations": [ { "instructor_name": "Meenakshi Syamkumar", "review_date": "2024-04-25 16:14:17 +0000 UTC", "review_id": "9420334a85eccc0d7383ab8d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2274671", "source_review_id": "UmF0aW5nLTM5MjY0OTM3", "source_url": "https://www.ratemyprofessors.com/professor/2274671", "type": "review" }, { "instructor_name": "Meenakshi Syamkumar", "review_date": "2024-05-05 04:19:39 +0000 UTC", "review_id": "7fa9e302a89b964ad200387c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2274671", "source_review_id": "UmF0aW5nLTM5MzY3MTY2", "source_url": "https://www.ratemyprofessors.com/professor/2274671", "type": "review" }, { "instructor_name": "Meenakshi Syamkumar", "review_date": "2024-05-08 17:30:52 +0000 UTC", "review_id": "7372ee52dbbf55ab3a1e9004", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2274671", "source_review_id": "UmF0aW5nLTM5NDA3MTAx", "source_url": "https://www.ratemyprofessors.com/professor/2274671", "type": "review" }, { "instructor_name": "Meenakshi Syamkumar", "review_date": "2024-05-09 01:52:29 +0000 UTC", "review_id": "ca29232f9342c22e5711d3dc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2274671", "source_review_id": "UmF0aW5nLTM5NDE0MjA4", "source_url": "https://www.ratemyprofessors.com/professor/2274671", "type": "review" }, { "instructor_name": "Meenakshi Syamkumar", "review_date": "2025-10-08 06:43:32 +0000 UTC", "review_id": "7f06862bfb12363d97f5025e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2274671", "source_review_id": "UmF0aW5nLTQxNjk3NDQx", "source_url": "https://www.ratemyprofessors.com/professor/2274671", "type": "review" }, { "instructor_name": "Meenakshi Syamkumar", "review_date": "2025-11-14 00:02:53 +0000 UTC", "review_id": "dfe5d6a59da2bb6c98532637", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2274671", "source_review_id": "UmF0aW5nLTQxODY0MTUy", "source_url": "https://www.ratemyprofessors.com/professor/2274671", "type": "review" }, { "instructor_name": "Meenakshi Syamkumar", "review_date": "2025-11-26 04:37:38 +0000 UTC", "review_id": "65f04d06e3a1eeda35677d2a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2274671", "source_review_id": "UmF0aW5nLTQxOTU1Mjk2", "source_url": "https://www.ratemyprofessors.com/professor/2274671", "type": "review" }, { "instructor_name": "Meenakshi Syamkumar", "review_date": "2025-12-08 18:25:05 +0000 UTC", "review_id": "e24655b51c713d7a432fb1e4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2274671", "source_review_id": "UmF0aW5nLTQyMDk3NjMz", "source_url": "https://www.ratemyprofessors.com/professor/2274671", "type": "review" }, { "instructor_name": "Meenakshi Syamkumar", "review_date": "2025-12-17 08:16:54 +0000 UTC", "review_id": "2307c941c1b48832a868e40a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2274671", "source_review_id": "UmF0aW5nLTQyMzA2MzMy", "source_url": "https://www.ratemyprofessors.com/professor/2274671", "type": "review" }, { "instructor_name": "Meenakshi Syamkumar", "review_date": "2025-12-18 03:00:33 +0000 UTC", "review_id": "0c30ce4e89a7fbbcf3517111", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2274671", "source_review_id": "UmF0aW5nLTQyMzIyNTQy", "source_url": "https://www.ratemyprofessors.com/professor/2274671", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Tyler Caraza-Harter is praised for being organized, supportive, and knowledgeable about industry practices, with lectures providing a solid foundation for big data and software jobs. ```json { "citations": [ { "instructor_name": "Tyler Caraza-harter", "review_date": "2023-11-16 07:31:07 +0000 UTC", "review_id": "0da88a6185ffe5b5470aec7f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2950714", "source_review_id": "UmF0aW5nLTM4NDAzNDc4", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "type": "review" }, { "instructor_name": "Tyler Caraza-harter", "review_date": "2023-12-22 22:12:16 +0000 UTC", "review_id": "d70a66c20a3260d3cd3ae3a4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2950714", "source_review_id": "UmF0aW5nLTM4Nzc5MTcx", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "type": "review" }, { "instructor_name": "Tyler Caraza-harter", "review_date": "2026-08-07 03:25:18 +0000 UTC", "review_id": "e1720230bb19656225358b1d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2950714", "source_review_id": "UmF0aW5nLTQzMzUxNjcw", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.31 GPA, 56.8% A/AB (n=380 letter grades); Fall 2025: 3.30 GPA, 56.3% A/AB (n=551 letter grades); Spring 2026: 3.25 GPA, 53.5% A/AB (n=353 letter grades). ```json { "citations": [ { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Lectures are criticized for moving too quickly and relying on demos rather than clear explanations, while exam questions are described as esoteric and prioritized over coding. ```json { "citations": [ { "instructor_name": "Tyler Caraza-harter", "review_date": "2025-10-29 20:09:02 +0000 UTC", "review_id": "e002bba4e088e6c2084f0d98", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2950714", "source_review_id": "UmF0aW5nLTQxNzc0ODE0", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "type": "review" }, { "instructor_name": "Tyler Caraza-harter", "review_date": "2026-04-14 21:11:57 +0000 UTC", "review_id": "d3cac07695309e37abfa6006", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2950714", "source_review_id": "UmF0aW5nLTQyODM3MDE2", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history MEENAKSHI SYAMKUMAR is recorded teaching in Spring 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` TYLER CARAZA-HARTER is recorded teaching in Fall 2023, 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 544", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI 544", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "source_record": { "entity_id": "a71daf9e-1170-3cb8-b963-d64aef04cd9d", "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": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "COMP SCI 320,400, or Graduate/Professional Standing", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 320, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 320", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 400, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "400", "id": "n2", "kind": "course" } ] ``` #### notes * The term 'COMP SCI 320,400' is interpreted as an OR condition between COMPSCI 320 and COMPSCI 400 based on the 'or' following the list and the standard interpretation of comma-separated course prerequisites in this context. Graduate/Proving * The phrase 'Graduate/Professional Standing' is treated as a condition leaf as it is not a specific course ID in linked\_courses. #### root n0 #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_f5416b5fc6c871363ebcbc1f", "source": "enrollment", "source_instructor_id": "tharter", "identity_basis": "netid", "identity_status": "source_identified", "name": "Tyler Caraza-Harter", "email": "THARTER@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": 43, "quality": 2.4, "difficulty": 3.79, "quality_count": 43, "difficulty_count": 43, "profile_id": "rmp:2950714", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "match_basis": "exact_name", "observed_at": "2026-09-07 16:01:00.271485+00:00", "courses": { "course_4c46b17e9b3f9a4f2ed9a0e9": { "review_count": 43, "quality": 2.4, "difficulty": 3.79, "quality_count": 43, "difficulty_count": 43 } }, "bayesian_quality": 2.799900248744951, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/TYLER_CARAZA-HARTER" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:266:026531", "course_id": "COMPSCI 544", "course_uid": "course_4c46b17e9b3f9a4f2ed9a0e9", "term_id": "1272", "source_course_id": "026531", "source_subject_id": "266", "title": "Introduction to Big Data Systems", "credits_min": 3, "credits_max": 3, "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:1272:27825", "term_id": "1272", "source_section_id": "27825", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 315, "enrolled": 293, "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_06e4c2835a37b212459cbb59", "source": "madgrades", "source_instructor_id": "6292347", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HANGDONG ZHAO", "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": 3.438, "graded": 153, "counts": [ 65, 33, 38, 13, 1, 2, 1 ], "sections": 1 }, "instructor_url": "/instructors/HANGDONG_ZHAO" }, { "instructor_uid": "instructor_30da917f848b8206e1c7c0ac", "source": "madgrades", "source_instructor_id": "5885590", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SUYAN QU", "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": 3.447, "graded": 912, "counts": [ 418, 184, 204, 70, 16, 9, 11 ], "sections": 4 }, "instructor_url": "/instructors/SUYAN_QU" }, { "instructor_uid": "instructor_57e41595174b77793e32092c", "source": "madgrades", "source_instructor_id": "6556439", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MD. TAREQ MAHMOOD", "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": 3.567, "graded": 704, "counts": [ 387, 143, 114, 40, 8, 5, 7 ], "sections": 4 }, "instructor_url": "/instructors/MD_TAREQ_MAHMOOD--instructor_57e41595174b77793e32092c" }, { "instructor_uid": "instructor_59510f3412a4157c884e8f89", "source": "madgrades", "source_instructor_id": "6253814", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DEVESH SARDA", "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": 3.58, "graded": 206, "counts": [ 117, 34, 38, 13, 1, 2, 1 ], "sections": 3 }, "instructor_url": "/instructors/DEVESH_SARDA--instructor_59510f3412a4157c884e8f89" }, { "instructor_uid": "instructor_631962329774a4859d157d35", "source": "madgrades", "source_instructor_id": "6041526", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SPENCER SCHOENBERG", "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": 3.421, "graded": 790, "counts": [ 333, 196, 170, 51, 18, 11, 11 ], "sections": 4 }, "instructor_url": "/instructors/SPENCER_SCHOENBERG--instructor_631962329774a4859d157d35" }, { "instructor_uid": "instructor_9222256b83ff436f893cd1b6", "source": "madgrades", "source_instructor_id": "6457815", "identity_basis": "source_id", "identity_status": "source_identified", "name": "FNU TABISH", "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": 3.257, "graded": 787, "counts": [ 264, 170, 182, 88, 66, 14, 3 ], "sections": 4 }, "instructor_url": "/instructors/FNU_TABISH" }, { "instructor_uid": "instructor_9970afa0691227d6927365de", "source": "madgrades", "source_instructor_id": "6551564", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SETH OCKERMAN", "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": 3.515, "graded": 439, "counts": [ 219, 95, 82, 29, 6, 4, 4 ], "sections": 2 }, "instructor_url": "/instructors/SETH_OCKERMAN--instructor_9970afa0691227d6927365de" }, { "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": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 43, "quality": 2.4, "difficulty": 3.79, "quality_count": 43, "difficulty_count": 43, "profile_id": "rmp:2950714", "source_url": 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3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.532, "graded": 3256, "counts": [ 1638, 827, 508, 141, 71, 34, 37 ], "sections": 40 }, "instructor_url": "/instructors/MEENAKSHI_SYAMKUMAR--instructor_e3bd28389959ce3e3b7e1683" }, { "instructor_uid": "instructor_00d856fd5a24ff81c45b7954", "source": "madgrades", "source_instructor_id": "6660132", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WEICHU 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": 3.342, "graded": 396, "counts": [ 172, 68, 89, 39, 13, 7, 8 ], "sections": 2 }, "instructor_url": "/instructors/WEICHU_YANG" }, { "instructor_uid": "instructor_00f21c2382f87635046b7e92", "source": "madgrades", "source_instructor_id": "6654104", "identity_basis": "source_id", "identity_status": "source_identified", "name": "STOCKTON JENKINS", "email": null, "first_observed_at": 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"quality_count": 1, "difficulty_count": 1 }, "course_37a551eb9007bebe6a41c6b3": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_1dae8ec78980ea57dc44f5c9": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_de12e29109d0c90ee086fcec": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.8830714862888294, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.254, "graded": 678, "counts": [ 248, 145, 150, 64, 37, 23, 11 ], "sections": 11 }, "instructor_url": "/instructors/PEYMAN_MORTEZA" }, { "instructor_uid": "instructor_a991d882989e5b5e3031ccab", "source": "madgrades", "source_instructor_id": "5772931", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GABRIEL ORLANSKI", "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": 3.342, "graded": 396, "counts": [ 172, 68, 89, 39, 13, 7, 8 ], "sections": 2 }, "instructor_url": "/instructors/GABRIEL_ORLANSKI" }, { "instructor_uid": "instructor_ac3ea927cdd57bc6dddeed5a", "source": "madgrades", "source_instructor_id": "6296781", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TINGJIA CAO", "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": 3.322, "graded": 1027, "counts": [ 402, 221, 220, 93, 61, 16, 14 ], "sections": 7 }, "instructor_url": "/instructors/TINGJIA_CAO--instructor_ac3ea927cdd57bc6dddeed5a" }, { "instructor_uid": "instructor_d5097dd44662e89f0d3c20a9", "source": "madgrades", "source_instructor_id": "6296750", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LIN ZHANG", "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": 3.437, "graded": 215, "counts": [ 105, 39, 45, 15, 4, 2, 5 ], "sections": 1 }, "instructor_url": "/instructors/LIN_ZHANG--instructor_d5097dd44662e89f0d3c20a9" }, { "instructor_uid": "instructor_fa553bd2fa2ba11364ab1196", "source": "madgrades", "source_instructor_id": "6656646", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZEFAN CAI", "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": 3.603, "graded": 194, "counts": [ 118, 33, 28, 9, 2, 1, 3 ], "sections": 1 }, "instructor_url": "/instructors/ZEFAN_CAI--instructor_fa553bd2fa2ba11364ab1196" }, { "instructor_uid": "instructor_03ede31144072a9b2aedf7c9", "source": "madgrades", "source_instructor_id": "6373442", "identity_basis": "source_id", "identity_status": "source_identified", "name": "IVAN JAEN MARQUEZ", "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": 3.334, "graded": 1205, "counts": [ 460, 250, 291, 136, 36, 17, 15 ], "sections": 6 }, "instructor_url": "/instructors/IVAN_JAEN_MARQUEZ" }, { "instructor_uid": "instructor_26664a4a736d07d28b9ccb51", "source": "madgrades", "source_instructor_id": "6654460", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JING LAN", "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": 3.271, "graded": 395, "counts": [ 131, 92, 101, 40, 17, 9, 5 ], "sections": 2 }, "instructor_url": "/instructors/JING_LAN" }, { "instructor_uid": "instructor_fd32fd48a579b74c6fab7b1a", "source": "madgrades", "source_instructor_id": "6556410", "identity_basis": "source_id", "identity_status": "source_identified", "name": "FARIHA TABASSUM ISLAM", "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": 3.265, "graded": 631, "counts": [ 222, 158, 129, 51, 47, 11, 13 ], "sections": 4 }, "instructor_url": "/instructors/FARIHA_TABASSUM_ISLAM--instructor_fd32fd48a579b74c6fab7b1a" }, { "instructor_uid": "instructor_014a613762f9a10177fc9240", "source": "madgrades", "source_instructor_id": "6769177", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHIHAN CUI", "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": 3.326, "graded": 469, "counts": [ 175, 103, 103, 65, 12, 4, 7 ], "sections": 2 }, "instructor_url": "/instructors/CHIHAN_CUI" }, { "instructor_uid": "instructor_3f6609c6e4d11d70decafbf1", "source": "madgrades", "source_instructor_id": "6685759", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DIKSHA LAXMAN MENGHMALANI", "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": 3.236, "graded": 435, "counts": [ 147, 74, 115, 73, 16, 1, 9 ], "sections": 2 }, "instructor_url": "/instructors/DIKSHA_LAXMAN_MENGHMALANI" }, { "instructor_uid": "instructor_426fff810a230bf7efd85c36", "source": "madgrades", "source_instructor_id": "6462897", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SACHI SANGHAVI", "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": 3.416, "graded": 388, "counts": [ 168, 84, 78, 39, 12, 4, 3 ], "sections": 2 }, "instructor_url": "/instructors/SACHI_SANGHAVI" }, { "instructor_uid": "instructor_68a771a8d68b8571aff0433a", "source": "madgrades", "source_instructor_id": "6467384", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MENGZE TANG", "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": 3.38, "graded": 403, "counts": [ 174, 75, 77, 59, 12, 1, 5 ], "sections": 2 }, "instructor_url": "/instructors/MENGZE_TANG" }, { "instructor_uid": "instructor_a5c2cad1e1b4901c4d48c6cf", "source": "madgrades", "source_instructor_id": "6111495", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YUSEN LIU", "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": 3.311, "graded": 665, "counts": [ 207, 201, 151, 64, 24, 9, 9 ], "sections": 4 }, "instructor_url": "/instructors/YUSEN_LIU--instructor_a5c2cad1e1b4901c4d48c6cf" }, { "instructor_uid": "instructor_aac97906c31ad181822fa038", "source": "madgrades", "source_instructor_id": "6771674", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ISHITA KAKKAR", "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": 3.401, "graded": 375, "counts": [ 162, 75, 75, 48, 10, 0, 5 ], "sections": 2 }, "instructor_url": "/instructors/ISHITA_KAKKAR" }, { "instructor_uid": "instructor_c120569bcbe1106144fdbef9", "source": "madgrades", "source_instructor_id": "6117682", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CLARA ZHANG", "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": 3.331, "graded": 270, "counts": [ 99, 60, 61, 37, 8, 2, 3 ], "sections": 1 }, "instructor_url": "/instructors/CLARA_ZHANG--instructor_c120569bcbe1106144fdbef9" }, { "instructor_uid": "instructor_ebfaece11566d510be361c2c", "source": "madgrades", "source_instructor_id": "6406841", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YUANZHUO 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": 3.271, "graded": 424, "counts": [ 148, 81, 107, 63, 15, 3, 7 ], "sections": 2 }, "instructor_url": "/instructors/YUANZHUO_YANG--instructor_ebfaece11566d510be361c2c" }, { "instructor_uid": "instructor_2c3c7a585f9d482ba497c1f5", "source": "madgrades", "source_instructor_id": "6659651", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YUHAO LIU", "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": 3.22, "graded": 445, "counts": [ 148, 100, 102, 48, 27, 11, 9 ], "sections": 3 }, "instructor_url": "/instructors/YUHAO_LIU" }, { "instructor_uid": "instructor_7c30eeba87c35f78badaaaf3", "source": "madgrades", "source_instructor_id": "6767759", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JIMMY DI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.414, "graded": 245, "counts": [ 111, 50, 45, 29, 4, 2, 4 ], "sections": 2 }, "instructor_url": "/instructors/JIMMY_DI" }, { "instructor_uid": "instructor_7e51b8bdc9101e20b72a173f", "source": "madgrades", "source_instructor_id": "6793875", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHREYA LAKHERA", "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": 3.319, "graded": 199, "counts": [ 76, 43, 42, 28, 4, 2, 4 ], "sections": 1 }, "instructor_url": "/instructors/SHREYA_LAKHERA--instructor_7e51b8bdc9101e20b72a173f" }, { "instructor_uid": "instructor_f5416b5fc6c871363ebcbc1f", "source": "enrollment", "source_instructor_id": "tharter", "identity_basis": "netid", "identity_status": "source_identified", "name": "Tyler Caraza-Harter", "email": "THARTER@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": 43, "quality": 2.4, "difficulty": 3.79, "quality_count": 43, "difficulty_count": 43, "profile_id": "rmp:2950714", "source_url": "https://www.ratemyprofessors.com/professor/2950714", "match_basis": "exact_name", "observed_at": "2026-09-07 16:01:00.271485+00:00", "courses": { "course_4c46b17e9b3f9a4f2ed9a0e9": { "review_count": 43, "quality": 2.4, "difficulty": 3.79, "quality_count": 43, "difficulty_count": 43 } }, "bayesian_quality": 2.799900248744951, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/TYLER_CARAZA-HARTER" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 544", "course_uid": "course_4c46b17e9b3f9a4f2ed9a0e9", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "DEVESH SARDA", "FNU TABISH", "HANGDONG ZHAO", "MD. TAREQ MAHMOOD", "SETH OCKERMAN", "SPENCER SCHOENBERG", "SUYAN QU", "Tyler Caraza-Harter" ], "a": 165, "ab": 88, "b": 78, "bc": 21, "c": 4, "d": 3, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 360, "source_aliases": [ "COMPSCI 544" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 544", "course_uid": "course_4c46b17e9b3f9a4f2ed9a0e9", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "FANCHAO CHEN", "MD. TAREQ MAHMOOD", "Meena Syamkumar", "SAANIDHI ARORA", "SETH OCKERMAN", "SPENCER SCHOENBERG", "SUYAN QU" ], "a": 154, "ab": 62, "b": 44, "bc": 16, "c": 5, "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": 286, "source_aliases": [ "COMPSCI 544" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 544", "course_uid": "course_4c46b17e9b3f9a4f2ed9a0e9", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "GABRIEL ORLANSKI", "LIN ZHANG", "MD. TAREQ MAHMOOD", "PEYMAN MORTEZA", "STOCKTON JENKINS", "TINGJIA CAO", "Tyler Caraza-Harter", "WEICHU YANG", "ZEFAN CAI" ], "a": 223, "ab": 72, "b": 73, "bc": 24, "c": 6, "d": 3, "f": 8, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 411, "source_aliases": [ "COMPSCI 544" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 544", "course_uid": "course_4c46b17e9b3f9a4f2ed9a0e9", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "FARIHA TABASSUM ISLAM", "GABRIEL ORLANSKI", "IVAN JAEN MARQUEZ", "JING LAN", "STOCKTON JENKINS", "TINGJIA CAO", "Tyler Caraza-Harter", "WEICHU YANG" ], "a": 149, "ab": 67, "b": 88, "bc": 51, "c": 15, "d": 7, "f": 3, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 382, "source_aliases": [ "COMPSCI 544" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 544", "course_uid": "course_4c46b17e9b3f9a4f2ed9a0e9", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "CHIHAN CUI", "CLARA ZHANG", "DIKSHA LAXMAN MENGHMALANI", "ISHITA KAKKAR", "IVAN JAEN MARQUEZ", "MENGZE TANG", "Meena Syamkumar", "SACHI SANGHAVI", "STOCKTON JENKINS", "Tyler Caraza-Harter", "YUANZHUO YANG", "YUSEN LIU" ], "a": 197, "ab": 113, "b": 130, "bc": 84, "c": 17, "d": 2, "f": 8, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 552, "source_aliases": [ "COMPSCI 544" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 544", "course_uid": "course_4c46b17e9b3f9a4f2ed9a0e9", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "CHIHAN CUI", "DIKSHA LAXMAN MENGHMALANI", "IVAN JAEN MARQUEZ", "JIMMY DI", "STOCKTON JENKINS", "Shreya Lakhera", "Tyler Caraza-Harter", "YUANZHUO YANG", "YUHAO LIU" ], "a": 125, "ab": 64, "b": 88, "bc": 54, "c": 11, "d": 3, "f": 8, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 354, "source_aliases": [ "COMPSCI 544" ] } ] ``` ### statistics #### gpa 3.398 #### graded 2339 #### counts * 1013 * 466 * 501 * 250 * 58 * 20 * 31 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_4c46b17e9b3f9a4f2ed9a0e9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_4c46b17e9b3f9a4f2ed9a0e9-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_4c46b17e9b3f9a4f2ed9a0e9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_4c46b17e9b3f9a4f2ed9a0e9-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_4c46b17e9b3f9a4f2ed9a0e9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_4c46b17e9b3f9a4f2ed9a0e9-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_4c46b17e9b3f9a4f2ed9a0e9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_4c46b17e9b3f9a4f2ed9a0e9-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_4c46b17e9b3f9a4f2ed9a0e9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_4c46b17e9b3f9a4f2ed9a0e9-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.39760581445062 #### count 2339 #### university ##### size 3801 ##### gpa Percentile 15 ##### count Percentile 98 ##### median Count 100 ##### 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 | 12 | false | | 2.8–3.2 | 209 | false | | 3.2–3.6 | 936 | true | | 3.6–4.0 | 2644 | false | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 97, "gpaPercentile": 22, "countPercentile": 90, "medianCount": 149, "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": 33, "current": true }, { "range": "3.6–4.0", "count": 53, "current": false } ] } } ] ``` ### terms #### 1242 ##### term 1242 ##### gpa 3.515277777777778 ##### count 360 ##### university ###### size 1295 ###### gpa Percentile 35 ###### 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": 47, "countPercentile": 80, "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 3.555944055944056 ##### count 286 ##### university ###### size 1241 ###### gpa Percentile 39 ###### count Percentile 93 ###### 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 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 60, "countPercentile": 78, "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": true }, { "range": "3.6–4.0", "count": 18, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.5158924205378974 ##### count 409 ##### university ###### size 1333 ###### gpa Percentile 34 ###### count Percentile 95 ###### 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 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 54, "gpaPercentile": 53, "countPercentile": 81, "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": true }, { "range": "3.6–4.0", "count": 22, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.3131578947368423 ##### count 380 ##### university ###### size 1289 ###### gpa Percentile 18 ###### 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 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 29, "countPercentile": 82, "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": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.3021778584392014 ##### count 551 ##### university ###### size 1320 ###### gpa Percentile 16 ###### count Percentile 97 ###### 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 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 53, "gpaPercentile": 21, "countPercentile": 90, "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": true }, { "range": "3.6–4.0", "count": 21, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.2521246458923514 ##### count 353 ##### university ###### size 1283 ###### gpa Percentile 14 ###### count Percentile 94 ###### 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 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 48, "gpaPercentile": 23, "countPercentile": 79, "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": true }, { "range": "3.6–4.0", "count": 19, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 3801 ###### gpa 3.6947140786559496 ###### top Share 84.06396268479713 ###### count 100 ##### COMPSCI ###### size 97 ###### gpa 3.606118116054628 ###### top Share 79.5006363584558 ###### count 149 #### terms ##### 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_c6356d47f3e8baf96e13074b", "name": "TYLER CARAZA-HARTER", "count": 1772, "terms": [ { "term": "1242", "count": 360, "sections": 2, "gpa": 3.515277777777778 }, { "term": "1252", "count": 409, "sections": 2, "gpa": 3.5158924205378974 }, { "term": "1254", "count": 380, "sections": 2, "gpa": 3.3131578947368423 }, { "term": "1262", "count": 270, "sections": 1, "gpa": 3.3314814814814815 }, { "term": "1264", "count": 353, "sections": 2, "gpa": 3.2521246458923514 } ] }, { "uid": "instructor_00f21c2382f87635046b7e92", "name": "STOCKTON JENKINS", "count": 799, "terms": [ { "term": "1252", "count": 194, "sections": 1, "gpa": 3.6030927835051547 }, { "term": "1254", "count": 181, "sections": 1, "gpa": 3.229281767955801 }, { "term": "1262", "count": 270, "sections": 1, "gpa": 3.3314814814814815 }, { "term": "1264", "count": 154, "sections": 1, "gpa": 3.1655844155844157 } ] }, { "uid": "instructor_03ede31144072a9b2aedf7c9", "name": "IVAN JAEN MARQUEZ", "count": 679, "terms": [ { "term": "1254", "count": 199, "sections": 1, "gpa": 3.3894472361809047 }, { "term": "1262", "count": 281, "sections": 1, "gpa": 3.2740213523131674 }, { "term": "1264", "count": 199, "sections": 1, "gpa": 3.319095477386935 } ] }, { "uid": "instructor_57e41595174b77793e32092c", "name": "MD. TAREQ MAHMOOD", "count": 633, "terms": [ { "term": "1242", "count": 153, "sections": 1, "gpa": 3.4379084967320264 }, { "term": "1244", "count": 286, "sections": 1, "gpa": 3.555944055944056 }, { "term": "1252", "count": 194, "sections": 1, "gpa": 3.6030927835051547 } ] }, { "uid": "instructor_e3bd28389959ce3e3b7e1683", "name": "MEENAKSHI SYAMKUMAR", "count": 567, "terms": [ { "term": "1244", "count": 286, "sections": 1, "gpa": 3.555944055944056 }, { "term": "1262", "count": 281, "sections": 1, "gpa": 3.2740213523131674 } ] }, { "uid": "instructor_014a613762f9a10177fc9240", "name": "CHIHAN CUI", "count": 469, "terms": [ { "term": "1262", "count": 270, "sections": 1, "gpa": 3.3314814814814815 }, { "term": "1264", "count": 199, "sections": 1, "gpa": 3.319095477386935 } ] }, { "uid": "instructor_30da917f848b8206e1c7c0ac", "name": "SUYAN QU", "count": 439, "terms": [ { "term": "1242", "count": 153, "sections": 1, "gpa": 3.4379084967320264 }, { "term": "1244", "count": 286, "sections": 1, "gpa": 3.555944055944056 } ] }, { "uid": "instructor_631962329774a4859d157d35", "name": "SPENCER SCHOENBERG", "count": 439, "terms": [ { "term": "1242", "count": 153, "sections": 1, "gpa": 3.4379084967320264 }, { "term": "1244", "count": 286, "sections": 1, "gpa": 3.555944055944056 } ] }, { "uid": "instructor_9970afa0691227d6927365de", "name": "SETH OCKERMAN", "count": 439, "terms": [ { "term": "1242", "count": 153, "sections": 1, "gpa": 3.4379084967320264 }, { "term": "1244", "count": 286, "sections": 1, "gpa": 3.555944055944056 } ] }, { "uid": "instructor_3f6609c6e4d11d70decafbf1", "name": "DIKSHA LAXMAN MENGHMALANI", "count": 435, "terms": [ { "term": "1262", "count": 281, "sections": 1, "gpa": 3.2740213523131674 }, { "term": "1264", "count": 154, "sections": 1, "gpa": 3.1655844155844157 } ] }, { "uid": "instructor_ebfaece11566d510be361c2c", "name": "YUANZHUO YANG", "count": 424, "terms": [ { "term": "1262", "count": 270, "sections": 1, "gpa": 3.3314814814814815 }, { "term": "1264", "count": 154, "sections": 1, "gpa": 3.1655844155844157 } ] }, { "uid": "instructor_00d856fd5a24ff81c45b7954", "name": "WEICHU YANG", "count": 396, "terms": [ { "term": "1252", "count": 215, "sections": 1, "gpa": 3.437209302325581 }, { "term": "1254", "count": 181, "sections": 1, "gpa": 3.229281767955801 } ] }, { "uid": "instructor_a991d882989e5b5e3031ccab", "name": "GABRIEL ORLANSKI", "count": 396, "terms": [ { "term": "1252", "count": 215, "sections": 1, "gpa": 3.437209302325581 }, { "term": "1254", "count": 181, "sections": 1, "gpa": 3.229281767955801 } ] }, { "uid": "instructor_ac3ea927cdd57bc6dddeed5a", "name": "TINGJIA CAO", "count": 393, "terms": [ { "term": "1252", "count": 194, "sections": 1, "gpa": 3.6030927835051547 }, { "term": "1254", "count": 199, "sections": 1, "gpa": 3.3894472361809047 } ] }, { "uid": "instructor_38b1b34da78aac0423424309", "name": "SAANIDHI ARORA", "count": 286, "terms": [ { "term": "1244", "count": 286, "sections": 1, "gpa": 3.555944055944056 } ] }, { 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"name": "ZEFAN CAI", "count": 194, "terms": [ { "term": "1252", "count": 194, "sections": 1, "gpa": 3.6030927835051547 } ] }, { "uid": "instructor_26664a4a736d07d28b9ccb51", "name": "JING LAN", "count": 181, "terms": [ { "term": "1254", "count": 181, "sections": 1, "gpa": 3.229281767955801 } ] }, { "uid": "instructor_2c3c7a585f9d482ba497c1f5", "name": "YUHAO LIU", "count": 154, "terms": [ { "term": "1264", "count": 154, "sections": 1, "gpa": 3.1655844155844157 } ] }, { "uid": "instructor_06e4c2835a37b212459cbb59", "name": "HANGDONG ZHAO", "count": 153, "terms": [ { "term": "1242", "count": 153, "sections": 1, "gpa": 3.4379084967320264 } ] }, { "uid": "instructor_59510f3412a4157c884e8f89", "name": "DEVESH SARDA", "count": 153, "terms": [ { "term": "1242", "count": 153, "sections": 1, "gpa": 3.4379084967320264 } ] }, { "uid": "instructor_9222256b83ff436f893cd1b6", "name": "FNU TABISH", "count": 153, "terms": [ { "term": "1242", "count": 153, "sections": 1, "gpa": 3.4379084967320264 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.4281432674784003 ### grades | grade | percentage | | ----- | ------------------ | | A | 44.55126691966433 | | AB | 20.588418441780135 | | B | 21.20445151545329 | | BC | 9.701933990106907 | | C | 2.036887171588459 | | D | 0.6078306581481878 | | F | 1.3092113032586878 | ### source Terms * 1262 * 1252 * 1242 ### source Count 1320 ### same Season true ### historical Range * 3.302177858439201 * 3.5158924205378974