# COMPSCI 220: Data Science Programming I | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_220) ## 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 68616157648afad5d808cafd54c58248d9ab2ea7253aac84c662ba3a7b49e041 ### course id COMPSCI 220 ### course uid course\_834bc468ca49d8090d0f211f ### catalog version id bc71c606e19858bb89b6131da56e089d45a2e1176d5a101cf6b84358600c15f0 ### course number 220 ### subjects * COMPSCI ### title DATA SCIENCE PROGRAMMING I ### description Introduction to Data Science programming using Python. No previous programming experience required. Emphasis on analyzing real datasets in a variety of forms and visual communication. ### requirements text Satisfied Quantitative Reasoning (QR) A or declared in the Professional Capstone Program in Computer Sciences. Not open to students with credit for COMP SCI 301. ### credits min 4 ### credits max 4 ### credit offering ids * 1272:266:025498 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 0d2001e434bcf880b3c929f18247c233eeb9bc6c08ae4abedbc026f7b01362d3 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary COMPSCI 220 introduces data science programming with Python, focusing on analyzing real datasets and visual communication, with no prior experience required. ### llm topics * Data Science programming * Python * Real dataset analysis * Visual communication ### llm skills * Data Science programming using Python * Analyzing real datasets * Visual communication ### llm assumed background None recorded. ### llm search phrases * data science programming python * COMPSCI 220 data analysis * introductory data science course ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash e45764f959a733d6cdad974b1cb30505683a0cd8aa694b5d1de4782eacecaae1 #### course id COMPSCI 220 #### current instructors ```json [ { "instructor_uid": "instructor_841d653f575490f61a7aec9b", "message": "No course-specific reviews available", "name": "Blerina Gkotse", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:3030661", "summary": [] }, { "instructor_uid": "instructor_97805752d14314b7d669169c", "message": null, "name": "Michael Doescher", "review_status": "supported", "rmp_instructor_id": "rmp:2593156", "summary": [ { "citations": [ { "instructor_name": "Michael Doescher", "review_date": "2020-09-22 07:15:03 +0000 UTC", "review_id": "e1f0b8f66e2955419d2b9395", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2593156", "source_review_id": "UmF0aW5nLTMzNjU2Mjk4", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "type": "review" }, { "instructor_name": "Michael Doescher", "review_date": "2022-11-03 00:36:44 +0000 UTC", "review_id": "2d85c9ed46d8a1e88f17db9a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2593156", "source_review_id": "UmF0aW5nLTM2NzcwNzE4", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "type": "review" }, { "instructor_name": "Michael Doescher", "review_date": "2023-07-31 23:27:01 +0000 UTC", "review_id": "7764958437778079980bf754", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2593156", "source_review_id": "UmF0aW5nLTM4MTM0OTY1", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "type": "review" }, { "instructor_name": "Michael Doescher", "review_date": "2025-04-07 15:41:54 +0000 UTC", "review_id": "2e914d0dd4eb1cae88208167", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2593156", "source_review_id": "UmF0aW5nLTQwODg0MDk5", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "type": "review" } ], "text": "Michael Doescher is described as caring, knowledgeable, and accommodating, with clear lectures that help beginners understand material. Reviewers appreciate his transparency and desire for student success, noting that his teaching style supports those with little prior coding experience." }, { "citations": [ { "instructor_name": "Michael Doescher", "review_date": "2023-12-14 19:56:02 +0000 UTC", "review_id": "4dbda5b436bfc45a82be2acc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2593156", "source_review_id": "UmF0aW5nLTM4Njc0ODg2", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "type": "review" }, { "instructor_name": "Michael Doescher", "review_date": "2024-04-29 16:28:59 +0000 UTC", "review_id": "7516fc3a3566bbc85dafed0a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2593156", "source_review_id": "UmF0aW5nLTM5Mjk5MTA2", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "type": "review" }, { "instructor_name": "Michael Doescher", "review_date": "2025-12-22 16:20:13 +0000 UTC", "review_id": "45fca43681593129e35bca7c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2593156", "source_review_id": "UmF0aW5nLTQyMzc1MjAx", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "type": "review" } ], "text": "Some students criticize his live coding sessions as inefficient and note that lectures can move too fast for note-taking. Others find his humor inappropriate or distracting, and one reviewer compares the current class's organization favorably to previous courses they took." }, { "citations": [ { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.27 GPA, 57.4% A/AB (n=749 letter grades); Fall 2025: 3.36 GPA, 63.0% A/AB (n=915 letter grades); Spring 2026: 3.43 GPA, 70.5% A/AB (n=755 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload Weekly projects constitute nearly half the grade and require significant time investment, while exams are multiple-choice and carry less weight. ```json { "citations": [ { "instructor_name": "Michael Doescher", "review_date": "2022-11-03 00:36:44 +0000 UTC", "review_id": "2d85c9ed46d8a1e88f17db9a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2593156", "source_review_id": "UmF0aW5nLTM2NzcwNzE4", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "type": "review" }, { "instructor_name": "Michael Doescher", "review_date": "2024-11-21 23:27:31 +0000 UTC", "review_id": "af7e5745bbeb28b6c38f4174", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2593156", "source_review_id": "UmF0aW5nLTQwMDA4NzQw", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "type": "review" }, { "instructor_name": "Michael Doescher", "review_date": "2025-04-07 15:41:54 +0000 UTC", "review_id": "2e914d0dd4eb1cae88208167", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2593156", "source_review_id": "UmF0aW5nLTQwODg0MDk5", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Meenakshi Syamkumar: Meenakshi Syamkumar is criticized for moving too fast in lectures and having harsh grading standards, with one student noting a 94.6% resulted in a B- grade. Another review advises avoiding her class if you expect meaningful instructor responses or clear content delivery. ```json { "citations": [ { "instructor_name": "Meenakshi Syamkumar", "review_date": "2020-05-13 22:25:27 +0000 UTC", "review_id": "ed470e73e4efe350b4419e58", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2274671", "source_review_id": "UmF0aW5nLTMzMjg4NTM5", "source_url": "https://www.ratemyprofessors.com/professor/2274671", "type": "review" }, { "instructor_name": "Meenakshi Syamkumar", "review_date": "2024-01-27 05:09:14 +0000 UTC", "review_id": "6c8e35a68904e51f538b0e2c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2274671", "source_review_id": "UmF0aW5nLTM4OTI5NDc2", "source_url": "https://www.ratemyprofessors.com/professor/2274671", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Michael Doescher teaches a project-heavy course that reviewers find thorough and helpful for learning, though the class is considered difficult for beginners with no prior coding experience. ```json { "citations": [ { "instructor_name": "Michael Doescher", "review_date": "2020-09-22 07:15:03 +0000 UTC", "review_id": "e1f0b8f66e2955419d2b9395", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2593156", "source_review_id": "UmF0aW5nLTMzNjU2Mjk4", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "type": "review" }, { "instructor_name": "Michael Doescher", "review_date": "2022-11-03 00:36:44 +0000 UTC", "review_id": "2d85c9ed46d8a1e88f17db9a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2593156", "source_review_id": "UmF0aW5nLTM2NzcwNzE4", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "type": "review" }, { "instructor_name": "Michael Doescher", "review_date": "2025-04-07 15:41:54 +0000 UTC", "review_id": "2e914d0dd4eb1cae88208167", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2593156", "source_review_id": "UmF0aW5nLTQwODg0MDk5", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.27 GPA, 57.4% A/AB (n=749 letter grades); Fall 2025: 3.36 GPA, 63.0% A/AB (n=915 letter grades); Spring 2026: 3.43 GPA, 70.5% A/AB (n=755 letter grades). ```json { "citations": [ { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students report mixed experiences with lectures, citing either ineffective live coding sessions or fast pacing that makes note-taking difficult, alongside complaints about inappropriate jokes. ```json { "citations": [ { "instructor_name": "Michael Doescher", "review_date": "2023-12-14 19:56:02 +0000 UTC", "review_id": "4dbda5b436bfc45a82be2acc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2593156", "source_review_id": "UmF0aW5nLTM4Njc0ODg2", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "type": "review" }, { "instructor_name": "Michael Doescher", "review_date": "2025-12-22 16:20:13 +0000 UTC", "review_id": "45fca43681593129e35bca7c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2593156", "source_review_id": "UmF0aW5nLTQyMzc1MjAx", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ANDREW KUEMMEL is recorded teaching in Fall 2021, Spring 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" } ] } ``` GURMAIL SINGH is recorded teaching in Fall 2022, Spring 2023, Fall 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 6, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" } ] } ``` LOUIS OLIPHANT is recorded teaching in Spring 2024, Fall 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` MEENAKSHI SYAMKUMAR is recorded teaching in Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" } ] } ``` MICHAEL DOESCHER is recorded teaching in Spring 2020, Fall 2020, Fall 2022, Spring 2023, Fall 2023, 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 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` PEYMAN MORTEZA is recorded teaching in Fall 2021. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 220", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "source_record": { "entity_id": "7ea3c96f-5246-39ac-9c22-eff420630de2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "Satisfied Quantitative Reasoning (QR) A or declared in the Professional Capstone Program in Computer Sciences. Not open to students with credit for COMP SCI 301.", "id": "n0", "kind": "all" }, { "children": [], "condition": "Satisfied Quantitative Reasoning (QR) A", "course": null, "evidence": "Satisfied Quantitative Reasoning (QR) A", "id": "n1", "kind": "condition" }, { "children": [], "condition": "declared in the Professional Capstone Program in Computer Sciences", "course": null, "evidence": "declared in the Professional Capstone Program in Computer Sciences", "id": "n2", "kind": "condition" }, { "children": [ "n4" ], "condition": null, "course": null, "evidence": "Not open to students with credit for COMP SCI 301.", "id": "n3", "kind": "not" }, { "children": [], "condition": "credit for COMP SCI 301", "course": null, "evidence": "credit for COMP SCI 301", "id": "n4", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_841d653f575490f61a7aec9b", "source": "enrollment", "source_instructor_id": "gkotse", "identity_basis": "netid", "identity_status": "source_identified", "name": "Blerina Gkotse", "email": "GKOTSE@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": 23, "quality": 3.74, "difficulty": 2.35, "quality_count": 23, "difficulty_count": 23, "profile_id": "rmp:3030661", "source_url": "https://www.ratemyprofessors.com/professor/3030661", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:42.004108+00:00", "courses": { "course_e0f984e8747ee9ccaba16d75": { "review_count": 11, "quality": 2.91, "difficulty": 2.18, "quality_count": 11, "difficulty_count": 11 }, "course_28c3390ba944d49fd17f7c72": { "review_count": 12, "quality": 4.5, "difficulty": 2.5, "quality_count": 12, "difficulty_count": 12 } }, "bayesian_quality": 3.702644550486789, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/BLERINA_GKOTSE" }, { "instructor_uid": "instructor_97805752d14314b7d669169c", "source": "enrollment", "source_instructor_id": "mdoescher", "identity_basis": "netid", "identity_status": "source_identified", "name": "Michael Doescher", "email": "MDOESCHER@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": 88, "quality": 3.47, "difficulty": 3.33, "quality_count": 88, "difficulty_count": 88, "profile_id": "rmp:2593156", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "match_basis": "exact_name", "observed_at": "2026-09-07 16:18:28.055099+00:00", "courses": { "course_834bc468ca49d8090d0f211f": { "review_count": 48, "quality": 4.17, "difficulty": 3.04, "quality_count": 48, "difficulty_count": 48 }, "course_6e524f2d6f14b4e14c7ac770": { "review_count": 39, "quality": 2.56, "difficulty": 3.72, "quality_count": 39, "difficulty_count": 39 }, "course_37a551eb9007bebe6a41c6b3": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.505126996953073, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MICHAEL_DOESCHER" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:266:025498", "course_id": "COMPSCI 220", "course_uid": "course_834bc468ca49d8090d0f211f", "term_id": "1272", "source_course_id": "025498", "source_subject_id": "266", "title": "Data Science Programming I", "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:1272:21141", "term_id": "1272", "source_section_id": "21141", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 301, "enrolled": 299, "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:1272:21142", "term_id": "1272", "source_section_id": "21142", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 200, "enrolled": 199, "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:1272:21143", "term_id": "1272", "source_section_id": "21143", "identity_basis": "class_number", "section_number": "311", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 75, "enrolled": 75, "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:1272:21144", "term_id": "1272", "source_section_id": "21144", "identity_basis": "class_number", "section_number": "321", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 55, "enrolled": 55, "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:1272:21145", "term_id": "1272", "source_section_id": "21145", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 203, "enrolled": 201, "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:1272:21146", "term_id": "1272", "source_section_id": "21146", "identity_basis": "class_number", "section_number": "333", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 67, "enrolled": 68, "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:1272:22251", "term_id": "1272", "source_section_id": "22251", "identity_basis": "class_number", "section_number": "004", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 302, "enrolled": 300, "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:1272:22252", "term_id": "1272", "source_section_id": "22252", "identity_basis": "class_number", "section_number": "341", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 75, "enrolled": 75, "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:1272:31529", "term_id": "1272", "source_section_id": "31529", "identity_basis": "class_number", "section_number": "312", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 75, "enrolled": 75, "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:1272:31530", "term_id": "1272", "source_section_id": "31530", "identity_basis": "class_number", "section_number": "313", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 75, "enrolled": 75, "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:1272:31531", "term_id": "1272", "source_section_id": "31531", "identity_basis": "class_number", "section_number": "314", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 75, "enrolled": 74, "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:1272:31532", "term_id": "1272", "source_section_id": "31532", "identity_basis": "class_number", "section_number": "322", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 73, "enrolled": 72, "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:1272:31533", "term_id": "1272", "source_section_id": "31533", "identity_basis": "class_number", "section_number": "323", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 73, "enrolled": 72, "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:1272:31534", "term_id": "1272", "source_section_id": "31534", "identity_basis": "class_number", "section_number": "331", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 67, "enrolled": 67, "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:1272:31535", "term_id": "1272", "source_section_id": "31535", "identity_basis": "class_number", "section_number": "332", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 67, "enrolled": 66, "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:1272:31536", "term_id": "1272", "source_section_id": "31536", "identity_basis": "class_number", "section_number": "342", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 75, "enrolled": 75, "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:1272:31537", "term_id": "1272", "source_section_id": "31537", "identity_basis": "class_number", "section_number": "343", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 75, "enrolled": 75, "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:1272:31538", "term_id": "1272", "source_section_id": "31538", "identity_basis": "class_number", "section_number": "344", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 75, "enrolled": 75, "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_05f24db7abb304ad08bd7c75", "source": "madgrades", "source_instructor_id": "6216774", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SOURAV PAL", "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": 3.723, "graded": 110, "counts": [ 69, 27, 11, 2, 0, 1, 0 ], "sections": 2 }, "instructor_url": "/instructors/SOURAV_PAL" }, { "instructor_uid": "instructor_122a7e74ef02066805f0b041", "source": "madgrades", "source_instructor_id": "5158351", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL DOESCHER", "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": 88, "quality": 3.47, "difficulty": 3.33, "quality_count": 88, "difficulty_count": 88, "profile_id": "rmp:2593156", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "match_basis": "exact_name", "observed_at": "2026-09-07 16:18:28.055099+00:00", "courses": { "course_834bc468ca49d8090d0f211f": { "review_count": 48, "quality": 4.17, "difficulty": 3.04, "quality_count": 48, "difficulty_count": 48 }, "course_6e524f2d6f14b4e14c7ac770": { "review_count": 39, "quality": 2.56, "difficulty": 3.72, "quality_count": 39, "difficulty_count": 39 }, "course_37a551eb9007bebe6a41c6b3": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.505126996953073, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.348, "graded": 7490, "counts": [ 2424, 2356, 1852, 398, 222, 136, 102 ], "sections": 73 }, "instructor_url": "/instructors/MICHAEL_DOESCHER--instructor_122a7e74ef02066805f0b041" }, { "instructor_uid": "instructor_40345be296866fe3dcdc048a", "source": "madgrades", "source_instructor_id": "6219207", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHENMEI SHI", "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": 3.627, "graded": 114, "counts": [ 59, 37, 12, 4, 0, 2, 0 ], "sections": 2 }, "instructor_url": "/instructors/ZHENMEI_SHI" }, { "instructor_uid": "instructor_45c68b85d6156a4cd2da71df", "source": "madgrades", "source_instructor_id": "6104697", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DEEPAN DAS", "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": 3.723, "graded": 110, "counts": [ 69, 27, 11, 2, 0, 1, 0 ], "sections": 2 }, "instructor_url": "/instructors/DEEPAN_DAS" }, { "instructor_uid": "instructor_9fd5ae17aeab940db9de2ba1", "source": "madgrades", "source_instructor_id": "6166314", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YUCHEN ZENG", "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": 3.736, "graded": 125, "counts": [ 82, 32, 9, 0, 0, 0, 2 ], "sections": 2 }, "instructor_url": "/instructors/YUCHEN_ZENG--instructor_9fd5ae17aeab940db9de2ba1" }, { "instructor_uid": "instructor_bcae3420a0314f7556916766", "source": "madgrades", "source_instructor_id": "6086037", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHAO-HSIANG CHUNG", "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": 3.736, "graded": 125, "counts": [ 82, 32, 9, 0, 0, 0, 2 ], "sections": 2 }, "instructor_url": "/instructors/CHAO-HSIANG_CHUNG--instructor_bcae3420a0314f7556916766" }, { "instructor_uid": "instructor_e3bd28389959ce3e3b7e1683", "source": "madgrades", "source_instructor_id": "5176578", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MEENAKSHI SYAMKUMAR", "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": 77, "quality": 3.1, "difficulty": 3.34, "quality_count": 77, "difficulty_count": 77, "profile_id": "rmp:2274671", "source_url": "https://www.ratemyprofessors.com/professor/2274671", "match_basis": "exact_name", "observed_at": "2026-09-07 16:19:17.289299+00:00", "courses": { "course_4c46b17e9b3f9a4f2ed9a0e9": { "review_count": 18, "quality": 2.44, "difficulty": 3.56, "quality_count": 18, "difficulty_count": 18 }, "course_583cd0f265d9f29704ca13ea": { "review_count": 2, "quality": 5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 }, "course_834bc468ca49d8090d0f211f": { "review_count": 47, "quality": 2.91, "difficulty": 3.36, "quality_count": 47, "difficulty_count": 47 }, "course_1dae8ec78980ea57dc44f5c9": { "review_count": 1, "quality": 3, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_28c3390ba944d49fd17f7c72": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 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3.33, "quality_count": 88, "difficulty_count": 88, "profile_id": "rmp:2593156", "source_url": "https://www.ratemyprofessors.com/professor/2593156", "match_basis": "exact_name", "observed_at": "2026-09-07 16:18:28.055099+00:00", "courses": { "course_834bc468ca49d8090d0f211f": { "review_count": 48, "quality": 4.17, "difficulty": 3.04, "quality_count": 48, "difficulty_count": 48 }, "course_6e524f2d6f14b4e14c7ac770": { "review_count": 39, "quality": 2.56, "difficulty": 3.72, "quality_count": 39, "difficulty_count": 39 }, "course_37a551eb9007bebe6a41c6b3": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.505126996953073, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MICHAEL_DOESCHER" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 220", "course_uid": "course_834bc468ca49d8090d0f211f", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "ASHWIN MARAN", "BHAVYA GOYAL", "CHAO-HSIANG CHUNG", "DEEPAN DAS", "Meena Syamkumar", "Michael Doescher", "NITHIN VENKATESH", "SOURAV PAL", "YELUN BAO", "YUCHEN ZENG", "ZHENMEI SHI" ], "a": 210, "ab": 96, "b": 32, "bc": 6, "c": 0, "d": 3, "f": 2, "satisfactory": 50, "unsatisfactory": 17, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 417, "source_aliases": [ "COMPSCI 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 220", "course_uid": "course_834bc468ca49d8090d0f211f", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Meena Syamkumar", "Michael Doescher" ], "a": 500, "ab": 143, "b": 50, "bc": 17, "c": 18, "d": 3, "f": 10, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 3, "no_work": 0, "not_reported": 0, "other": 0, "total": 745, "source_aliases": [ "COMPSCI 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 220", "course_uid": "course_834bc468ca49d8090d0f211f", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Andrew Kuemmel", "Meena Syamkumar", "PEYMAN MORTEZA" ], "a": 335, "ab": 252, "b": 141, "bc": 21, "c": 19, "d": 12, "f": 11, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 4, "no_work": 0, "not_reported": 1, "other": 0, "total": 797, "source_aliases": [ "COMPSCI 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 220", "course_uid": "course_834bc468ca49d8090d0f211f", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Andrew Kuemmel", "Cole Nelson", "Meena Syamkumar" ], "a": 334, "ab": 161, "b": 82, "bc": 19, "c": 12, "d": 10, "f": 14, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 634, "source_aliases": [ "COMPSCI 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 220", "course_uid": "course_834bc468ca49d8090d0f211f", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Gurmail Singh", "Meena Syamkumar", "Michael Doescher" ], "a": 389, "ab": 300, "b": 175, "bc": 45, "c": 16, "d": 11, "f": 11, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 949, "source_aliases": [ "COMPSCI 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 220", "course_uid": "course_834bc468ca49d8090d0f211f", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "ABINAYAA KANIMOZHI CHANDRASEKAR", "ANIRUDH SUNDARA RAJAN", "ASHWIN MARAN", "BRANDON TRAN", "COLE DIIANNI", "DEEPTI RAJAGOPAL", "Gurmail Singh", "HAKAN DINGENC", "IFFAT NAFISA", "ISHA PADMANABAN", "ISHAAN KOHLI", "JUSTIN KIEFEL", "KARTHIK SURESH", "KINCANNON WILSON", "MUHAMMAD HARIS NOOR", "Michael Doescher", "SATYA SAI SRINATH NAMBURI", "SHREY SHAH", "TIMOTHY OSSOWSKI" ], "a": 272, "ab": 193, "b": 192, "bc": 34, "c": 17, "d": 15, "f": 9, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 735, "source_aliases": [ "COMPSCI 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 220", "course_uid": "course_834bc468ca49d8090d0f211f", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "ABHINAV NARAYAN HARISH", "ABOLI VIJAYANAND PAI", "ASHWIN MARAN", "CATHY CAO", "Cole Nelson", "DAVID PARRA", "DIVYAM ANSHUMAAN", "FAHAD TOUSEEF", "Gurmail Singh", "JOHN BALIS", "KINCANNON WILSON", "MUHAMMAD MUSA", "Michael Doescher", "RITHIK JAIN", "SAMUEL GUO", "SATYA SAI SRINATH NAMBURI", "SHUTONG WU", "TAKIS CHYTAS", "TUNAN WANG", "YUNFU DENG", "Young Wu" ], "a": 269, "ab": 324, "b": 261, "bc": 50, "c": 29, "d": 24, "f": 10, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 1, "other": 0, "total": 969, "source_aliases": [ "COMPSCI 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 220", "course_uid": "course_834bc468ca49d8090d0f211f", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "ABHINAV NARAYAN HARISH", "ABOLI VIJAYANAND PAI", "CATHY CAO", "DAVID PARRA", "EDWARD HALIM", "FAHAD TOUSEEF", "KINCANNON WILSON", "LUKE DOTSON", "Louis Oliphant", "MUHAMMAD MUSA", "Michael Doescher", "SAMUEL GUO", "SATYA SAI SRINATH NAMBURI", "TAKIS CHYTAS", "TUNAN WANG", "YUNFU DENG", "YUSEN LIU", "Young Wu" ], "a": 146, "ab": 256, "b": 271, "bc": 51, "c": 23, "d": 15, "f": 8, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 770, "source_aliases": [ "COMPSCI 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 220", "course_uid": "course_834bc468ca49d8090d0f211f", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Louis Oliphant", "Michael Doescher" ], "a": 357, "ab": 356, "b": 191, "bc": 34, "c": 19, "d": 12, "f": 11, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 981, "source_aliases": [ "COMPSCI 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 220", "course_uid": "course_834bc468ca49d8090d0f211f", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "ANGELIKI GIANNOU", "BEN HAYUM", "DAVID PARRA", "DMITRY PINCHUK", "FAHAD TOUSEEF", "GUYANG CAO", "Louis Oliphant", "MO XU", "Michael Doescher", "NIDA TANVEER", "OWEN MCNAMARA", "SHUIBAI ZHANG", "SREYAS DHULIPALA", "SUNGJUN CHO", "YUNHAO LI", "ZHENGHONG YU" ], "a": 187, "ab": 243, "b": 227, "bc": 52, "c": 16, "d": 11, "f": 13, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 3, "no_work": 0, "not_reported": 0, "other": 0, "total": 753, "source_aliases": [ "COMPSCI 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 220", "course_uid": "course_834bc468ca49d8090d0f211f", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "AMR ALAZALI", "AYESHA SHAFIQUE", "BEN HAYUM", "DAVID PARRA", "DMITRY PINCHUK", "Jing Zhang", "Kathryn Jensen", "MO XU", "Michael Doescher", "NIDA TANVEER", "OWEN MCNAMARA", "SHUIBAI ZHANG", "SREYAS DHULIPALA", "SUNGJUN CHO", "TAKIS CHYTAS", "YIYIN SHEN", "YU WANG", "YUNHAO LI" ], "a": 251, "ab": 325, "b": 263, "bc": 38, "c": 20, "d": 9, "f": 9, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 916, "source_aliases": [ "COMPSCI 220" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 220", "course_uid": "course_834bc468ca49d8090d0f211f", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Louis Oliphant", "Michael Doescher" ], "a": 287, "ab": 245, "b": 162, "bc": 22, "c": 17, "d": 11, "f": 11, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 757, "source_aliases": [ "COMPSCI 220" ] } ] ``` ### statistics #### gpa 3.424 #### graded 9328 #### counts * 3537 * 2894 * 2047 * 389 * 206 * 136 * 119 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_834bc468ca49d8090d0f211f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_834bc468ca49d8090d0f211f-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_834bc468ca49d8090d0f211f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_834bc468ca49d8090d0f211f-0.json) * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_834bc468ca49d8090d0f211f-1.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_834bc468ca49d8090d0f211f-1.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_834bc468ca49d8090d0f211f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_834bc468ca49d8090d0f211f-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_834bc468ca49d8090d0f211f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_834bc468ca49d8090d0f211f-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_834bc468ca49d8090d0f211f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_834bc468ca49d8090d0f211f-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.423938679245283 #### count 9328 #### university ##### size 4688 ##### gpa Percentile 15 ##### count Percentile 100 ##### 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": 25, "countPercentile": 100, "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 3.696275071633238 ##### count 349 ##### university ###### size 1012 ###### gpa Percentile 44 ###### count Percentile 96 ###### 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": 61, "countPercentile": 88, "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 3.686909581646424 ##### count 741 ##### university ###### size 1111 ###### gpa Percentile 55 ###### count Percentile 99 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 73, "countPercentile": 98, "medianCount": 96, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.4734513274336285 ##### count 791 ##### university ###### size 1157 ###### gpa Percentile 36 ###### count Percentile 99 ###### 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": 60, "countPercentile": 98, "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 3.5237341772151898 ##### count 632 ##### university ###### size 1171 ###### gpa Percentile 41 ###### count Percentile 99 ###### 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": 59, "countPercentile": 98, "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 3.4704329461457233 ##### count 947 ##### university ###### size 1216 ###### gpa Percentile 34 ###### count Percentile 99 ###### 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": 45, "countPercentile": 100, "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 3.3790983606557377 ##### count 732 ##### university ###### size 1188 ###### gpa Percentile 27 ###### count Percentile 99 ###### 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": 44, "countPercentile": 96, "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 3.309203722854188 ##### count 967 ##### university ###### size 1295 ###### gpa Percentile 20 ###### count Percentile 99 ###### 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": 29, "countPercentile": 100, "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 3.2227272727272727 ##### count 770 ##### university ###### size 1241 ###### gpa Percentile 15 ###### count Percentile 99 ###### 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": 29, "countPercentile": 100, "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 3.451020408163265 ##### count 980 ##### university ###### size 1333 ###### gpa Percentile 27 ###### count Percentile 99 ###### 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": 45, "countPercentile": 100, "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 3.274365821094793 ##### count 749 ##### university ###### size 1289 ###### gpa Percentile 16 ###### count Percentile 99 ###### 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": 24, "countPercentile": 100, "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 3.3601092896174864 ##### count 915 ##### university ###### size 1320 ###### gpa Percentile 20 ###### count Percentile 99 ###### 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": 25, "countPercentile": 100, "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 3.432450331125828 ##### count 755 ##### university ###### size 1283 ###### gpa Percentile 25 ###### count Percentile 99 ###### 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": 43, "countPercentile": 100, "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 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_122a7e74ef02066805f0b041", "name": "MICHAEL DOESCHER", "count": 6587, "terms": [ { "term": "1204", "count": 114, "sections": 1, "gpa": 3.6271929824561404 }, { "term": "1212", "count": 249, "sections": 1, "gpa": 3.6244979919678717 }, { "term": "1232", "count": 356, "sections": 2, "gpa": 3.5168539325842696 }, { "term": "1234", "count": 732, "sections": 4, "gpa": 3.3790983606557377 }, { "term": "1242", "count": 967, "sections": 5, "gpa": 3.309203722854188 }, { "term": "1244", "count": 770, "sections": 4, "gpa": 3.2227272727272727 }, { "term": "1252", "count": 980, "sections": 4, "gpa": 3.451020408163265 }, { "term": "1254", "count": 749, "sections": 4, "gpa": 3.274365821094793 }, { "term": "1262", "count": 915, "sections": 4, "gpa": 3.3601092896174864 }, { "term": "1264", "count": 755, "sections": 4, "gpa": 3.432450331125828 } ] }, { "uid": "instructor_1eaf78715adffe107c5bc5ac", "name": "LOUIS OLIPHANT", "count": 3254, "terms": [ { "term": "1244", "count": 770, "sections": 4, "gpa": 3.2227272727272727 }, { "term": "1252", "count": 980, "sections": 4, "gpa": 3.451020408163265 }, { "term": "1254", "count": 749, "sections": 4, "gpa": 3.274365821094793 }, { "term": "1264", "count": 755, "sections": 4, "gpa": 3.432450331125828 } ] }, { "uid": "instructor_4fd18c1e2d3eb74f6bca507b", "name": "GURMAIL SINGH", "count": 1932, "terms": [ { "term": "1232", "count": 233, "sections": 2, "gpa": 3.3025751072961373 }, { "term": "1234", "count": 732, "sections": 4, "gpa": 3.3790983606557377 }, { "term": "1242", "count": 967, "sections": 5, "gpa": 3.309203722854188 } ] }, { "uid": "instructor_e3bd28389959ce3e3b7e1683", "name": "MEENAKSHI SYAMKUMAR", "count": 1815, "terms": [ { "term": "1204", "count": 235, "sections": 2, "gpa": 3.7297872340425533 }, { "term": "1212", "count": 492, "sections": 2, "gpa": 3.7184959349593494 }, { "term": "1222", "count": 425, "sections": 3, "gpa": 3.451764705882353 }, { "term": "1224", "count": 305, "sections": 2, "gpa": 3.536065573770492 }, { "term": "1232", "count": 358, "sections": 2, "gpa": 3.5335195530726256 } ] }, { "uid": "instructor_2c57dda8637d9a4030ecae79", "name": "KINCANNON WILSON", "count": 1169, "terms": [ { "term": "1234", "count": 177, "sections": 1, "gpa": 3.531073446327684 }, { "term": "1242", "count": 222, "sections": 1, "gpa": 3.22972972972973 }, { "term": "1244", "count": 770, "sections": 4, "gpa": 3.2227272727272727 } ] }, { "uid": "instructor_7d1b81b7955683f45f868ef6", "name": "FAHAD TOUSEEF", "count": 1111, "terms": [ { "term": "1242", "count": 222, "sections": 1, "gpa": 3.22972972972973 }, { "term": "1244", "count": 140, "sections": 1, "gpa": 3.25 }, { "term": "1254", "count": 749, "sections": 4, "gpa": 3.274365821094793 } ] }, { "uid": "instructor_4561aa717dd3770d5586704a", "name": "COLE NELSON", "count": 1096, "terms": [ { "term": "1224", "count": 129, "sections": 1, "gpa": 3.5310077519379846 }, { "term": "1242", "count": 967, "sections": 5, "gpa": 3.309203722854188 } ] }, { "uid": "instructor_f6f4218c74806ca1773565b9", "name": "RITHIK JAIN", "count": 967, "terms": [ { "term": "1242", "count": 967, "sections": 5, "gpa": 3.309203722854188 } ] }, { "uid": "instructor_0f84bfa1c7e8c649243ef538", "name": "BEN HAYUM", "count": 921, "terms": [ { "term": "1254", "count": 749, "sections": 4, "gpa": 3.274365821094793 }, { "term": 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"instructor_fc50f0afdc16c910c2744d6c", "name": "NITHIN VENKATESH", "count": 110, "terms": [ { "term": "1204", "count": 110, "sections": 1, "gpa": 3.7227272727272727 } ] }, { "uid": "instructor_0b933671cbe95c9e9ba88474", "name": "PEYMAN MORTEZA", "count": 85, "terms": [ { "term": "1222", "count": 85, "sections": 1, "gpa": 3.588235294117647 } ] }, { "uid": "instructor_742ced245e7dbe3d76b17d2a", "name": "JOHN BALIS", "count": 75, "terms": [ { "term": "1242", "count": 75, "sections": 1, "gpa": 3.3733333333333335 } ] } ] ``` ## following | code | title | | -------------------- | ------------------------------------------------------------------ | | ASTRON 590 | ASTRODYNAMICS | | ATMOCN 573 | RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES | | BME/ECE 463 | COMPUTERS IN MEDICINE | | BSE 405 | ARTIFICIAL INTELLIGENCE IN AGRICULTURE | | CIVENGR/GLE 511 | MIXING AND TRANSPORT IN THE ENVIRONMENT | | COMPSCI 300 | PROGRAMMING II | | COMPSCI 320 | DATA SCIENCE PROGRAMMING II | | COMPSCI 402 | INTRODUCING COMPUTER SCIENCE TO K-12 STUDENTS | | COMPSCI 541 | THEORY & ALGORITHMS FOR DATA SCIENCE | | COMPSCI/ECE/ISYE 524 | INTRODUCTION TO OPTIMIZATION | | COMPSCI/ECE/ME 532 | MATRIX METHODS IN MACHINE LEARNING | | COMPSCI/ECE/ME 539 | INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS | | COMPSCI/ISYE 526 | ADVANCED LINEAR PROGRAMMING | | COMPSCI/MATH 513 | NUMERICAL LINEAR ALGEBRA | | COMPSCI/MATH 514 | NUMERICAL ANALYSIS | | EMA/EP 471 | INTERMEDIATE PROBLEM SOLVING FOR ENGINEERS | | EP 476 | INTRODUCTION TO SCIENTIFIC COMPUTING FOR ENGINEERING PHYSICS | | GEOG 573 | ADVANCED GEOCOMPUTING AND GEOSPATIAL BIG DATA ANALYTICS | | INFOSYS 371 | TECHNOLOGY OF COMPUTER-BASED BUSINESS SYSTEMS | | ISYE 521 | MACHINE LEARNING IN ACTION FOR INDUSTRIAL ENGINEERS | | ISYE 620 | SIMULATION MODELING AND ANALYSIS | | ISYE/ME 643 | PERFORMANCE ANALYSIS OF MANUFACTURING SYSTEMS | | MATH 345 | LINEAR ALGEBRA AND OPTIMIZATION | | MATH 444 | GRAPHS AND NETWORKS IN DATA SCIENCE | | ME 331 | COMPUTER-AIDED ENGINEERING | | ME 459 | COMPUTING CONCEPTS FOR APPLICATIONS IN ENGINEERING | | ME 468 | COMPUTER MODELING AND SIMULATION OF AUTONOMOUS VEHICLES AND ROBOTS | | ME 472 | ENERGY, SUSTAINABILITY, AND TECHNOLOGY | | STAT 405 | DATA SCIENCE COMPUTING PROJECT | ## projection ### target 1272 ### interval #### lower 3.18 #### upper 3.63 #### coverage 80 #### terms 4 ### gpa 3.402666388302654 ### grades | grade | percentage | | ----- | ------------------ | | A | 33.54256617482217 | | AB | 34.2970117825628 | | B | 23.313852592849155 | | BC | 4.092723454741379 | | C | 2.2325877428856944 | | D | 1.418290990834669 | | F | 1.102967261304132 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 4600 ### same Season true ### historical Range * 3.3092037228541886 * 3.473451327433628 ### backtest #### terms 4 #### gpa Error 0.10441614682492173 #### mix Error 13.566539839679418