# COMPSCI 300: Programming II | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_300) ## 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 b26f0644f0d5fe1a0cf70536ca67a1c184a5b971fb7f8a304eb1e8e4a0e5b2d5 ### course id COMPSCI 300 ### course uid course\_28c3390ba944d49fd17f7c72 ### catalog version id 7dfb1936f356107f17f132e2d94ef6da81470bae3e0f532ea9d7033a7b21f50d ### course number 300 ### subjects * COMPSCI ### title PROGRAMMING II ### description Introduction to Object-Oriented Programming using classes and objects to solve more complex problems. Introduces array-based and linked data structures: including lists, stacks, and queues. Programming assignments require writing and developing multi-class (file) programs using interfaces, generics, and exception handling to solve challenging real world problems. Topics reviewed include reading/writing data and objects from/to files and exception handling, and command line arguments. Topics introduced: object-oriented design; class vs. object; create and define interfaces and iterators; searching and sorting; abstract data types (List,Stack,Queue,PriorityQueue(Heap),Binary Search Tree); generic interfaces (parametric polymorphism); how to design and write test methods and classes; array based vs. linked node implementations; introduction to complexity analysis; recursion. ### requirements text Satisfied QR-A and (COMP SCI 200,220, 302,310, 301, or placement intoCOMP SCI 300) or (E C E/​COMP SCI  252andE C E 203); graduate/professional standing; declared in Capstone Certificate in COMP SCI. Not open to students with credit for COMP SCI 367. ### credits min 3 ### credits max 3 ### credit offering ids * 1272:266:024795 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id cdf54e305274426413326e4e99e99b776f7d9cba57dab7e44f04538c99bc248c ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary COMPSCI 300 PROGRAMMING II introduces object-oriented programming, data structures, and algorithmic design using Java. ### llm topics * Object-oriented design, classes, objects, interfaces, and iterators. * Abstract data types including lists, stacks, queues, priority queues, and binary search trees. * Searching and sorting algorithms. * Complexity analysis and recursion. ### llm skills * Object-oriented programming using classes and objects. * Array-based and linked data structures (lists, stacks, queues). * Writing multi-class programs using interfaces, generics, and exception handling. * Object-oriented design, iterators, searching, sorting, ADTs, complexity analysis, and recursion. ### llm assumed background * Basic programming fundamentals including variables, control flow, functions, and IO. * Alternative introductory programming background using Python. * Introductory machine- and assembly-language programming. ### llm search phrases * object-oriented programming Java * data structures lists stacks queues * generics interfaces exception handling * recursion complexity analysis * binary search tree priority queue ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash e6daa8f5db09745ea4d0af3fc4a74f0a2ede7c2b0d6a724260af0bdfe164ae00 #### course id COMPSCI 300 #### current instructors ```json [ { "instructor_uid": "instructor_c22f8c3dc22824d91c82cdf7", "message": "No course-specific reviews available", "name": "Ben Jacobsen", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_66359daabf07f9f841e2a2f8", "message": "No course-specific reviews available", "name": "Cole Nelson", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_a65e64df990aa3bab98ee125", "message": null, "name": "Hobbes Legault", "review_status": "supported", "rmp_instructor_id": "rmp:2659075", "summary": [ { "citations": [ { "instructor_name": "Hobbes Legault", "review_date": "2021-10-26 20:00:43 +0000 UTC", "review_id": "a09fa8420cd2984fa1b9352d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2659075", "source_review_id": "UmF0aW5nLTM1MTU3Njg3", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "type": "review" }, { "instructor_name": "Hobbes Legault", "review_date": "2022-05-04 05:08:23 +0000 UTC", "review_id": "c6aff724229c45aef2bd94a4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2659075", "source_review_id": "UmF0aW5nLTM2MjM2MzE4", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "type": "review" }, { "instructor_name": "Hobbes Legault", "review_date": "2022-10-13 00:00:07 +0000 UTC", "review_id": "9d9d628aadea4915fc1eebe3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2659075", "source_review_id": "UmF0aW5nLTM1NTUxNzQ4", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "type": "review" }, { "instructor_name": "Hobbes Legault", "review_date": "2024-03-18 17:12:13 +0000 UTC", "review_id": "cf05bf57fecef1a8436215fe", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2659075", "source_review_id": "UmF0aW5nLTM5MDYwMDE5", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "type": "review" }, { "instructor_name": "Hobbes Legault", "review_date": "2024-12-02 23:41:10 +0000 UTC", "review_id": "73f6b5fc0ec63aab4e680508", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2659075", "source_review_id": "UmF0aW5nLTQwMDcxNzIz", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "type": "review" }, { "instructor_name": "Hobbes Legault", "review_date": "2025-03-22 00:37:09 +0000 UTC", "review_id": "71a6578f38ce87e23b17dd4a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2659075", "source_review_id": "UmF0aW5nLTQwODAxNDg2", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "type": "review" }, { "instructor_name": "Hobbes Legault", "review_date": "2026-05-09 16:33:48 +0000 UTC", "review_id": "6d16667197bde50d3e5d1956", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2659075", "source_review_id": "UmF0aW5nLTQzMDc5ODI2", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "type": "review" } ], "text": "Hobbes Legault is described as accessible and caring, with engaging lectures that help clarify content. Reviewers appreciate her responsiveness to questions and clear course structure. Some note that programming assignments can be vague or that the course format has specific demands, but her teaching style is viewed positively." } ] } ] ``` #### difficulty workload The course features weekly long programming assignments or cumulative tests, with one reviewer noting that exams can be tough and require office hour support. ```json { "citations": [ { "instructor_name": "Hobbes Legault", "review_date": "2022-12-22 06:48:54 +0000 UTC", "review_id": "8888c6f2db80d8649ad902e3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2659075", "source_review_id": "UmF0aW5nLTM3MjIyODY0", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "type": "review" }, { "instructor_name": "Hobbes Legault", "review_date": "2026-05-09 16:33:48 +0000 UTC", "review_id": "6d16667197bde50d3e5d1956", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2659075", "source_review_id": "UmF0aW5nLTQzMDc5ODI2", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical instructor Laura Legault is described as fun and thorough in addressing questions, while Mark Mansi provides engaging, to-the-point lectures with on-the-spot examples. Both instructors receive high praise for clarity and student support. ```json { "citations": [ { "instructor_name": "Laura Legault", "review_date": "2022-02-12 22:43:05 +0000 UTC", "review_id": "06b3af76fb6c37553c1c68ec", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1856181", "source_review_id": "UmF0aW5nLTM1ODQ5OTk3", "source_url": "https://www.ratemyprofessors.com/professor/1856181", "type": "review" }, { "instructor_name": "Mark Mansi", "review_date": "2024-01-17 18:22:10 +0000 UTC", "review_id": "9e6be335f74f407badf69e50", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2929310", "source_review_id": "UmF0aW5nLTM4ODkzMDk1", "source_url": "https://www.ratemyprofessors.com/professor/2929310", "type": "review" } ] } ``` #### offered true #### profile hash 672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90 #### quick take Reviewers describe Hobbes Legault as an accessible instructor with engaging lectures, though one notes the course covers basic object-oriented programming rather than advanced topics. ```json { "citations": [ { "instructor_name": "Hobbes Legault", "review_date": "2021-10-26 20:00:43 +0000 UTC", "review_id": "a09fa8420cd2984fa1b9352d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2659075", "source_review_id": "UmF0aW5nLTM1MTU3Njg3", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "type": "review" }, { "instructor_name": "Hobbes Legault", "review_date": "2024-03-18 17:12:13 +0000 UTC", "review_id": "cf05bf57fecef1a8436215fe", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2659075", "source_review_id": "UmF0aW5nLTM5MDYwMDE5", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "type": "review" }, { "instructor_name": "Hobbes Legault", "review_date": "2026-05-09 16:33:48 +0000 UTC", "review_id": "6d16667197bde50d3e5d1956", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2659075", "source_review_id": "UmF0aW5nLTQzMDc5ODI2", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.00 GPA, 40.1% A/AB (n=593 letter grades); Fall 2025: 3.37 GPA, 62.9% A/AB (n=556 letter grades); Spring 2026: 3.17 GPA, 48.3% A/AB (n=478 letter grades). ```json { "citations": [ { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students find the projects engaging and the professor helpful, but some report that programming assignments are vague and the mid-year project was poorly planned. ```json { "citations": [ { "instructor_name": "Hobbes Legault", "review_date": "2022-05-04 05:08:23 +0000 UTC", "review_id": "c6aff724229c45aef2bd94a4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2659075", "source_review_id": "UmF0aW5nLTM2MjM2MzE4", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "type": "review" }, { "instructor_name": "Hobbes Legault", "review_date": "2022-10-13 00:00:07 +0000 UTC", "review_id": "9d9d628aadea4915fc1eebe3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2659075", "source_review_id": "UmF0aW5nLTM1NTUxNzQ4", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "type": "review" }, { "instructor_name": "Hobbes Legault", "review_date": "2025-03-22 00:37:09 +0000 UTC", "review_id": "71a6578f38ce87e23b17dd4a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2659075", "source_review_id": "UmF0aW5nLTQwODAxNDg2", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ALEXANDER BROOKS is recorded teaching in Spring 2018, Fall 2018. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" } ] } ``` BLERINA GKOTSE is recorded teaching in Fall 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ] } ``` GARY DAHL is recorded teaching in Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" } ] } ``` JEFF NYHOFF is recorded teaching in Fall 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" } ] } ``` LAURA LEGAULT is recorded teaching in Spring 2020, Fall 2020, Fall 2021, Spring 2022, 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 300", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` MARK MANSI is recorded teaching in Fall 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" } ] } ``` MOUNA AYARI BEN HADJ KACEM is recorded teaching in Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 6, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 300", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "source_record": { "entity_id": "07eabcce-fdab-3781-99ca-7dc2dc3544ae", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "eligibility", "exclusion" ], "condition": null, "course": null, "evidence": "Satisfied QR-A and (COMP SCI 200,220, 302,310, 301, or placement intoCOMP SCI 300) or (E C E/COMP SCI 252andE C E 203); graduate/professional standing; declared in Capstone Certificate in COMP SCI. Not open to students with credit for COMP SCI 367.", "id": "root", "kind": "all" }, { "children": [ "alt1", "alt2", "standing", "declared" ], "condition": null, "course": null, "evidence": "Satisfied QR-A and (COMP SCI 200,220, 302,310, 301, or placement intoCOMP SCI 300) or (E C E/COMP SCI 252andE C E 203); graduate/professional standing; declared in Capstone Certificate in COMP SCI", "id": "eligibility", "kind": "any" }, { "children": [ "qr_a", "alt1_courses" ], "condition": null, "course": null, "evidence": "Satisfied QR-A and (COMP SCI 200,220, 302,310, 301, or placement intoCOMP SCI 300)", "id": "alt1", "kind": "all" }, { "children": [], "condition": "Satisfied QR-A", "course": null, "evidence": "Satisfied QR-A", "id": "qr_a", "kind": "condition" }, { "children": [ "c200", "c220", "c302_cond", "c310", "c301_cond", "placement_cond" ], "condition": null, "course": null, "evidence": "(COMP SCI 200,220, 302,310, 301, or placement intoCOMP SCI 300)", "id": "alt1_courses", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 200, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 200", "id": "c200", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 220, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "220", "id": "c220", "kind": "course" }, { "children": [], "condition": "302", "course": null, "evidence": "302", "id": "c302_cond", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "310", "id": "c310", "kind": "course" }, { "children": [], "condition": "301", "course": null, "evidence": "301", "id": "c301_cond", "kind": "condition" }, { "children": [], "condition": "placement intoCOMP SCI 300", "course": null, "evidence": "placement intoCOMP SCI 300", "id": "placement_cond", "kind": "condition" }, { "children": [ "c252", "ece203" ], "condition": null, "course": null, "evidence": "(E C E/COMP SCI 252andE C E 203)", "id": "alt2", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 252, "minimum_grade": null, "subjects": [ "COMPSCI", "ECE" ], "timing": "prior" }, "evidence": "E C E/COMP SCI 252", "id": "c252", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 203, "minimum_grade": null, "subjects": [ "ECE" ], "timing": "prior" }, "evidence": "E C E 203", "id": "ece203", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "standing", "kind": "condition" }, { "children": [], "condition": "declared in Capstone Certificate in COMP SCI", "course": null, "evidence": "declared in Capstone Certificate in COMP SCI", "id": "declared", "kind": "condition" }, { "children": [ "excl_cond" ], "condition": null, "course": null, "evidence": "Not open to students with credit for COMP SCI 367.", "id": "exclusion", "kind": "not" }, { "children": [], "condition": "credit for COMP SCI 367", "course": null, "evidence": "credit for COMP SCI 367", "id": "excl_cond", "kind": "condition" } ] ``` #### notes * Best-effort Boolean grouping inferred from ambiguous punctuation; consult the original requirements text. * Source shorthand 302 inherits COMPSCI; its catalog identity requires review. * Source shorthand 301 inherits COMPSCI; its catalog identity requires review. #### root root #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_c22f8c3dc22824d91c82cdf7", "source": "enrollment", "source_instructor_id": "bjacobsen3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Ben Jacobsen", "email": "BJACOBSEN3@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/BEN_JACOBSEN" }, { "instructor_uid": "instructor_66359daabf07f9f841e2a2f8", "source": "enrollment", "source_instructor_id": "ctnelson2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Cole Nelson", "email": "CTNELSON2@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/COLE_NELSON" }, { "instructor_uid": "instructor_a65e64df990aa3bab98ee125", "source": "enrollment", "source_instructor_id": "legault", "identity_basis": "netid", "identity_status": "source_identified", "name": "Hobbes Legault", "email": "LEGAULT@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": 93, "quality": 4.54, "difficulty": 2.73, "quality_count": 93, "difficulty_count": 93, "profile_id": "rmp:2659075", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "match_basis": "exact_name", "observed_at": "2026-09-07 16:36:02.091484+00:00", "courses": { "course_28c3390ba944d49fd17f7c72": { "review_count": 93, "quality": 4.54, "difficulty": 2.73, "quality_count": 93, "difficulty_count": 93 } }, "bayesian_quality": 4.384192174079043, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/HOBBES_LEGAULT" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:266:024795", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1272", "source_course_id": "024795", "source_subject_id": "266", "title": "Programming II", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:18820", "term_id": "1272", "source_section_id": "18820", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 150, "enrolled": 146, "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:1272:18822", "term_id": "1272", "source_section_id": "18822", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 265, "enrolled": 261, "waitlisted": 1, "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:1272:29366", "term_id": "1272", "source_section_id": "29366", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 60, "enrolled": 64, "waitlisted": 5, "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_ae6d3e38bcec5ad6b4559f22", "source": "madgrades", "source_instructor_id": "5629595", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GARY DAHL", "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": 155, "quality": 3.16, "difficulty": 3.48, "quality_count": 155, "difficulty_count": 155, "profile_id": "rmp:2770358", "source_url": "https://www.ratemyprofessors.com/professor/2770358", "match_basis": "exact_name", "observed_at": "2026-09-07 16:38:39.940872+00:00", "courses": { "course_6e524f2d6f14b4e14c7ac770": { "review_count": 23, "quality": 1.65, "difficulty": 4.09, "quality_count": 23, "difficulty_count": 23 }, "course_583cd0f265d9f29704ca13ea": { "review_count": 84, "quality": 3.2, "difficulty": 3.39, "quality_count": 84, "difficulty_count": 84 }, "course_28c3390ba944d49fd17f7c72": { "review_count": 34, "quality": 3.71, "difficulty": 3.41, "quality_count": 34, "difficulty_count": 34 }, "course_e0f984e8747ee9ccaba16d75": { "review_count": 1, "quality": 1, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.2171069466910396, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.24, "graded": 6060, "counts": [ 1933, 1340, 1743, 510, 269, 170, 95 ], "sections": 34 }, "instructor_url": "/instructors/GARY_DAHL--instructor_ae6d3e38bcec5ad6b4559f22" }, { "instructor_uid": "instructor_90c501250aaf2d357eb943e3", "source": "madgrades", "source_instructor_id": "6112165", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MOUNA AYARI BEN HADJ KACEM", "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": 3.33, "graded": 4624, "counts": [ 1756, 1162, 1041, 314, 133, 133, 85 ], "sections": 33 }, "instructor_url": "/instructors/MOUNA_AYARI_BEN_HADJ_KACEM" }, { "instructor_uid": "instructor_f49b3563847a91878806055e", "source": "madgrades", "source_instructor_id": "5022570", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALEXANDER BROOKS", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 13, "quality": 2.92, "difficulty": 3.69, "quality_count": 13, "difficulty_count": 13, "profile_id": "rmp:2225093", "source_url": "https://www.ratemyprofessors.com/professor/2225093", "match_basis": "exact_name", "observed_at": "2026-09-07 16:57:00.766334+00:00", "courses": { "course_834bc468ca49d8090d0f211f": { "review_count": 1, "quality": 5, "difficulty": 4, 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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 }, "grade_statistics": { "gpa": 3.467, "graded": 1608, "counts": [ 623, 485, 381, 66, 29, 19, 5 ], "sections": 9 }, "instructor_url": "/instructors/BLERINA_GKOTSE--instructor_69928dafc09fffaba9423278" }, { "instructor_uid": "instructor_921f0cddfe457e342d48156d", "source": "madgrades", "source_instructor_id": "6643711", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHUIBAI ZHANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.27, "graded": 680, "counts": [ 181, 206, 206, 41, 22, 14, 10 ], "sections": 5 }, "instructor_url": "/instructors/SHUIBAI_ZHANG" }, { "instructor_uid": "instructor_be83b3e329913c2ef60e02dc", "source": "madgrades", "source_instructor_id": "6649850", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PROTEET PAUL", "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": 3.367, "graded": 532, "counts": [ 174, 167, 128, 32, 18, 11, 2 ], "sections": 4 }, "instructor_url": "/instructors/PROTEET_PAUL--instructor_be83b3e329913c2ef60e02dc" }, { "instructor_uid": "instructor_c69b46f4facc550d96131edd", "source": "madgrades", "source_instructor_id": "6654006", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YIKAI ZHANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", 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23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.152, "graded": 443, "counts": [ 115, 107, 133, 40, 23, 17, 8 ], "sections": 5 }, "instructor_url": "/instructors/GUY_THAMPAKKUL" }, { "instructor_uid": "instructor_2361360cc17c69fa626c6d5c", "source": "madgrades", "source_instructor_id": "6075776", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JIAQI CHENG", "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": 3.138, "graded": 602, "counts": [ 159, 135, 167, 71, 45, 12, 13 ], "sections": 5 }, "instructor_url": "/instructors/JIAQI_CHENG" }, { "instructor_uid": "instructor_2c62a33faf68ea5fd042c63f", "source": "madgrades", "source_instructor_id": "6326022", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BENJAMIN JACOBSEN", "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": 3.562, "graded": 1154, "counts": [ 592, 287, 192, 40, 25, 12, 6 ], "sections": 10 }, "instructor_url": "/instructors/BENJAMIN_JACOBSEN" }, { "instructor_uid": "instructor_60d4517a28faddfd38e9b1c3", "source": "madgrades", "source_instructor_id": "6353871", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CALEB RASCHKA", "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": 2.903, "graded": 145, "counts": [ 23, 33, 42, 15, 20, 10, 2 ], "sections": 2 }, "instructor_url": "/instructors/CALEB_RASCHKA--instructor_60d4517a28faddfd38e9b1c3" }, { "instructor_uid": "instructor_933c5b88eab0a3c758d8cdac", "source": "madgrades", "source_instructor_id": "6555514", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ASHU KUMAR", "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": 3.349, "graded": 295, "counts": [ 126, 73, 47, 15, 20, 10, 4 ], "sections": 2 }, "instructor_url": "/instructors/ASHU_KUMAR" }, { "instructor_uid": "instructor_ae193933ddc4704328ae51c1", "source": "madgrades", "source_instructor_id": "6656052", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RUIFENG XU", "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": 3.285, "graded": 592, "counts": [ 182, 164, 153, 53, 18, 15, 7 ], "sections": 4 }, "instructor_url": "/instructors/RUIFENG_XU--instructor_ae193933ddc4704328ae51c1" }, { "instructor_uid": "instructor_edab350941b33e2f981afeeb", "source": "madgrades", "source_instructor_id": "6653186", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BERYL JIANG", "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": 3.305, "graded": 498, "counts": [ 167, 125, 133, 35, 21, 12, 5 ], "sections": 4 }, "instructor_url": "/instructors/BERYL_JIANG--instructor_edab350941b33e2f981afeeb" }, { "instructor_uid": "instructor_936cdb26a5aba1265cc76fd5", "source": "madgrades", "source_instructor_id": "3466264", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JAMES WILLIAMS", "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": 3.262, "graded": 7022, "counts": [ 2878, 1338, 1380, 563, 468, 225, 170 ], "sections": 48 }, "instructor_url": "/instructors/JAMES_WILLIAMS" }, { "instructor_uid": "instructor_dd95f28d173daafb3e575bde", "source": "madgrades", "source_instructor_id": "6773457", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MAX PHILLIPS", "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": 3.284, "graded": 259, "counts": [ 78, 61, 88, 16, 6, 9, 1 ], "sections": 2 }, "instructor_url": "/instructors/MAX_PHILLIPS--instructor_dd95f28d173daafb3e575bde" }, { "instructor_uid": "instructor_fbccff4dcccf0fe547590f52", "source": "madgrades", "source_instructor_id": "6653213", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANTHONY SAUER", "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": 3.4, "graded": 542, "counts": [ 214, 141, 120, 35, 18, 10, 4 ], "sections": 3 }, "instructor_url": "/instructors/ANTHONY_SAUER--instructor_fbccff4dcccf0fe547590f52" }, { "instructor_uid": "instructor_66359daabf07f9f841e2a2f8", "source": "enrollment", "source_instructor_id": "ctnelson2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Cole Nelson", "email": "CTNELSON2@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/COLE_NELSON" }, { "instructor_uid": "instructor_a65e64df990aa3bab98ee125", "source": "enrollment", "source_instructor_id": "legault", "identity_basis": "netid", "identity_status": "source_identified", "name": "Hobbes Legault", "email": "LEGAULT@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": 93, "quality": 4.54, "difficulty": 2.73, "quality_count": 93, "difficulty_count": 93, "profile_id": "rmp:2659075", "source_url": "https://www.ratemyprofessors.com/professor/2659075", "match_basis": "exact_name", "observed_at": "2026-09-07 16:36:02.091484+00:00", "courses": { "course_28c3390ba944d49fd17f7c72": { "review_count": 93, "quality": 4.54, "difficulty": 2.73, "quality_count": 93, "difficulty_count": 93 } }, "bayesian_quality": 4.384192174079043, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/HOBBES_LEGAULT" }, { "instructor_uid": "instructor_c22f8c3dc22824d91c82cdf7", "source": "enrollment", "source_instructor_id": "bjacobsen3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Ben Jacobsen", "email": "BJACOBSEN3@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/BEN_JACOBSEN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Gary Dahl" ], "a": 97, "ab": 65, "b": 93, "bc": 29, "c": 17, "d": 5, "f": 10, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 317, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "ALEXANDER BROOKS", "Gary Dahl", "Mouna Kacem" ], "a": 104, "ab": 103, "b": 175, "bc": 77, "c": 44, "d": 22, "f": 16, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 1, "total": 543, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "ALEXANDER BROOKS", "Gary Dahl", "Mouna Kacem" ], "a": 172, "ab": 127, "b": 155, "bc": 51, "c": 33, "d": 17, "f": 19, "satisfactory": 2, "unsatisfactory": 1, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 1, "total": 578, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Gary Dahl", "Mouna Kacem" ], "a": 141, "ab": 121, "b": 190, "bc": 69, "c": 23, "d": 41, "f": 17, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 604, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Gary Dahl", "Mouna Kacem" ], "a": 208, "ab": 165, "b": 211, "bc": 53, "c": 30, "d": 23, "f": 10, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 702, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "ADARSH MITTAL", "ADITYA BARVE", "ASHWIN KESHAV TAYADE", "CHETNA SUREKA", "Gary Dahl", "HANG YIN", "HARIT VISHWAKARMA", "JUAN RIOS", "LAURA LEGAULT", "MICHELLE JENSEN", "Mengni Zhang", "Mouna Kacem", "RAJAN DALAL", "SHUBHAM BHARTI", "SRI HARSHAL PARIMI", "SRILAKSHMI BHARADWAJ", "SULONG ZHOU", "VANSHIKA BAONI" ], "a": 214, "ab": 180, "b": 157, "bc": 13, "c": 6, "d": 4, "f": 6, "satisfactory": 116, "unsatisfactory": 38, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 1, "total": 736, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "LAURA LEGAULT", "Mouna Kacem" ], "a": 247, "ab": 169, "b": 115, "bc": 37, "c": 8, "d": 10, "f": 17, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 605, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "ABISHEK KUMAR", "AISHA MOHAMED", "ASHLEY SAMUELSON", "EVANGELIA GERGATSOULI", "HANG YIN", "HIMANSHU SAGAR", "KUSHAGRA KAPIL", "LAURA LEGAULT", "MAKESH NARSIMHAN SREEDHAR", "MICHELLE JENSEN", "Ming Liu", "Mouna Kacem", "PREETI NAYAK", "Yiwei Zhang" ], "a": 219, "ab": 170, "b": 166, "bc": 46, "c": 12, "d": 27, "f": 12, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 10, "no_work": 0, "not_reported": 0, "other": 0, "total": 662, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "AISHA MOHAMED", "ARAVIND VARATHAN", "ASHLEY SAMUELSON", "DEBARSHI DEKA", "HARSH SAHU", "KUSHAGRA KAPIL", "LAURA LEGAULT", "MICHELLE JENSEN", "MUHAMMAD SALMAN MUNAF", "Ming Liu", "Mouna Kacem", "PREETI NAYAK", "RAJESH SHASHI KUMAR", "SNEHAL RAJESH WADHWANI", "Yiwei Zhang", "ZEYI HUANG" ], "a": 383, "ab": 151, "b": 127, "bc": 41, "c": 16, "d": 14, "f": 7, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 3, "no_work": 0, "not_reported": 0, "other": 0, "total": 742, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "ABINAYAA KANIMOZHI CHANDRASEKAR", "AISHA MOHAMED", "AKHIL POLAMARASETTY", "ASHLEY SAMUELSON", "CHANGHO SHIN", "DEBARSHI DEKA", "Jeff Nyhoff", "KENDALL PARK", "KUSHAGRA KAPIL", "LAURA LEGAULT", "MICHELLE JENSEN", "MOHIT LOGANATHAN", "MUHAMMAD SALMAN MUNAF", "Ming Liu", "Mouna Kacem", "PREETI NAYAK", "PRIYAVARSHINI MURUGAN", "ROBERT KLOCK", "SNEHAL RAJESH WADHWANI", "Yiwei Zhang" ], "a": 387, "ab": 244, "b": 177, "bc": 44, "c": 17, "d": 14, "f": 16, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 3, "no_work": 0, "not_reported": 0, "other": 0, "total": 902, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "AISHA MOHAMED", "AKHIL POLAMARASETTY", "ASHLEY SAMUELSON", "CHANGHO SHIN", "DEBARSHI DEKA", "GOWTHAM RAMESH", "KENDALL PARK", "KUSHAGRA KAPIL", "LAURA LEGAULT", "MICHELLE JENSEN", "MOHIT LOGANATHAN", "MUHAMMAD SALMAN MUNAF", "Ming Liu", "Mouna Kacem", "PREETI NAYAK", "PRIYAVARSHINI MURUGAN", "SNEHAL RAJESH WADHWANI", "Yiwei Zhang" ], "a": 314, "ab": 268, "b": 176, "bc": 36, "c": 13, "d": 9, "f": 11, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 3, "no_work": 0, "not_reported": 0, "other": 0, "total": 831, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "ADITYA KOLSUR", "ANGUS HE", "ASHLEY SAMUELSON", "BOWMAN BROWN", "DANYAL MAQBOOL", "GOWTHAM RAMESH", "KENDALL PARK", "LAURA LEGAULT", "MARK MANSI", "MICHELLE JENSEN", "Mouna Kacem", "PUCHENG XIONG", "RAHUL CHOUDHARY", "RIYAD HASSEN", "ROBERT KLOCK", "SHENGYUAN YANG", "VAISHNAVI BHARGAVA", "WILLIAM CONG", "Yiwei Zhang", "ZHIQI GAO", "ZHIWEI SONG" ], "a": 434, "ab": 205, "b": 131, "bc": 26, "c": 14, "d": 7, "f": 6, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 2, "not_reported": 0, "other": 0, "total": 827, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "ADITYA KOLSUR", "ANGUS HE", "ASHLEY SAMUELSON", "AYDAN BAILEY", "DANYAL MAQBOOL", "GIANNIS IAKOVIDIS", "KENDALL PARK", "LAURA LEGAULT", "MICHELLE JENSEN", "Mouna Kacem", "POOJA YADAV", "RAHUL CHOUDHARY", "RIYAD HASSEN", "ROBERT KLOCK", "VAISHNAVI BHARGAVA", "WILLIAM SUN", "YUYUAN KANG", "ZHIQI GAO", "ZHIWEI SONG" ], "a": 154, "ab": 169, "b": 230, "bc": 92, "c": 37, "d": 39, "f": 10, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 4, "no_work": 0, "not_reported": 0, "other": 0, "total": 735, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "ADITYA KOLSUR", "Blerina Gkotse", "JING LAN", "LAURA LEGAULT", "MICHELLE JENSEN", "PROTEET PAUL", "RAHUL CHOUDHARY", "RITHIK JAIN", "RIYAD HASSEN", "SHUIBAI ZHANG", "WILLIAM CONG", "WILLIAM SUN", "XINYU ZHOU", "YIHENG SU", "YIKAI ZHANG", "YUHAO LIU" ], "a": 270, "ab": 231, "b": 200, "bc": 57, "c": 28, "d": 30, "f": 8, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 3, "no_work": 1, "not_reported": 0, "other": 0, "total": 828, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "ADITYA KOLSUR", "ASHU KUMAR", "BENJAMIN JACOBSEN", "BERYL JIANG", "CALEB RASCHKA", "GUY THAMPAKKUL", "Huifang Xu", "JIAQI CHENG", "KENDALL PARK", "LAURA LEGAULT", "Mouna Kacem", "POOJA YADAV", "RAHUL CHOUDHARY", "RIYAD HASSEN", "WILLIAM SUN", "YIHENG SU" ], "a": 106, "ab": 132, "b": 197, "bc": 65, "c": 55, "d": 27, "f": 11, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 596, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "BENJAMIN JACOBSEN", "BERYL JIANG", "GUY THAMPAKKUL", "Huifang Xu", "JAMES WILLIAMS", "LAURA LEGAULT", "MAX PHILLIPS", "PROTEET PAUL", "WILLIAM CONG", "WILLIAM SUN", "YIHENG SU", "YUYUAN KANG", "Yiwei Zhang" ], "a": 191, "ab": 159, "b": 145, "bc": 33, "c": 13, "d": 11, "f": 4, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 1, "other": 0, "total": 558, "source_aliases": [ "COMPSCI 300" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 300", "course_uid": "course_28c3390ba944d49fd17f7c72", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "ANTHONY SAUER", "ASHLEY SAMUELSON", "GUY THAMPAKKUL", "JAMES WILLIAMS", "JIAQI CHENG", "LAURA LEGAULT", "MAX PHILLIPS", "WILLIAM CONG", "WILLIAM SUN", "YIHENG SU", "YUYUAN KANG", "Yiwei Zhang" ], "a": 119, "ab": 112, "b": 166, "bc": 35, "c": 21, "d": 18, "f": 7, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 6, "no_work": 0, "not_reported": 1, "other": 0, "total": 486, "source_aliases": [ "COMPSCI 300" ] } ] ``` ### statistics #### gpa 3.286 #### graded 11038 #### counts * 3760 * 2771 * 2811 * 804 * 387 * 318 * 187 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_28c3390ba944d49fd17f7c72-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_28c3390ba944d49fd17f7c72-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_28c3390ba944d49fd17f7c72-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_28c3390ba944d49fd17f7c72-0.json) * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_28c3390ba944d49fd17f7c72-1.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_28c3390ba944d49fd17f7c72-1.json) * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_28c3390ba944d49fd17f7c72-2.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_28c3390ba944d49fd17f7c72-2.json) * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_28c3390ba944d49fd17f7c72-3.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_28c3390ba944d49fd17f7c72-3.json) * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_28c3390ba944d49fd17f7c72-4.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_28c3390ba944d49fd17f7c72-4.json) * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_28c3390ba944d49fd17f7c72-5.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_28c3390ba944d49fd17f7c72-5.json) * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_28c3390ba944d49fd17f7c72-6.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_28c3390ba944d49fd17f7c72-6.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_28c3390ba944d49fd17f7c72-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_28c3390ba944d49fd17f7c72-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_28c3390ba944d49fd17f7c72-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_28c3390ba944d49fd17f7c72-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_28c3390ba944d49fd17f7c72-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_28c3390ba944d49fd17f7c72-0.json) * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_28c3390ba944d49fd17f7c72-1.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_28c3390ba944d49fd17f7c72-1.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.286238448994383 #### count 11038 #### university ##### size 5099 ##### gpa Percentile 9 ##### count Percentile 100 ##### median Count 159 ##### 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 | 7 | false | | 2.8–3.2 | 264 | false | | 3.2–3.6 | 1268 | true | | 3.6–4.0 | 3559 | false | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 107, "gpaPercentile": 15, "countPercentile": 100, "medianCount": 409, "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": 14, "current": false }, { "range": "3.2–3.6", "count": 33, "current": true }, { "range": "3.6–4.0", "count": 60, "current": false } ] } } ] ``` ### terms #### 1182 ##### term 1182 ##### gpa 3.1835443037974684 ##### count 316 ##### university ###### size 1025 ###### gpa Percentile 22 ###### count Percentile 94 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | true | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 36, "gpaPercentile": 37, "countPercentile": 86, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 13, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 2.9648798521256934 ##### count 541 ##### university ###### size 1010 ###### gpa Percentile 8 ###### count Percentile 98 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | true | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 10, "countPercentile": 100, "medianCount": 126, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.1498257839721253 ##### count 574 ##### university ###### size 1077 ###### gpa Percentile 17 ###### count Percentile 98 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | true | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 38, "gpaPercentile": 38, "countPercentile": 97, "medianCount": 95.5, "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": 15, "current": true }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 12, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.0182724252491693 ##### count 602 ##### university ###### size 1040 ###### gpa Percentile 11 ###### count Percentile 98 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | true | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 38, "gpaPercentile": 22, "countPercentile": 97, "medianCount": 92, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.2257142857142855 ##### count 700 ##### university ###### size 1102 ###### gpa Percentile 23 ###### count Percentile 98 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 41, "gpaPercentile": 45, "countPercentile": 98, "medianCount": 91, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 15, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.4577586206896553 ##### count 580 ##### university ###### size 1012 ###### gpa Percentile 16 ###### count Percentile 99 ###### 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 | true | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 20, "countPercentile": 100, "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": true }, { "range": "3.6–4.0", "count": 22, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.388059701492537 ##### count 603 ##### university ###### size 1111 ###### gpa Percentile 26 ###### count Percentile 98 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 44, "countPercentile": 93, "medianCount": 96, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.2745398773006134 ##### count 652 ##### university ###### size 1157 ###### gpa Percentile 21 ###### count Percentile 98 ###### 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": 33, "countPercentile": 96, "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 3.5047361299052775 ##### count 739 ##### university ###### size 1171 ###### gpa Percentile 39 ###### 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": 52, "countPercentile": 100, "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 3.4382647385984426 ##### count 899 ##### university ###### size 1216 ###### gpa Percentile 31 ###### 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": 39, "countPercentile": 98, "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 3.4425634824667473 ##### count 827 ##### university ###### size 1188 ###### gpa Percentile 31 ###### 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": 51, "countPercentile": 100, "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 3.580194410692588 ##### count 823 ##### university ###### size 1295 ###### gpa Percentile 41 ###### 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": 57, "countPercentile": 98, "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 3.0649794801641588 ##### count 731 ##### university ###### size 1241 ###### gpa Percentile 7 ###### 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 | true | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 11, "countPercentile": 93, "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": true }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 18, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.2973300970873787 ##### count 824 ##### university ###### size 1333 ###### gpa Percentile 15 ###### 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": 21, "countPercentile": 98, "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 2.9957841483979766 ##### count 593 ##### university ###### size 1289 ###### gpa Percentile 4 ###### count Percentile 98 ###### 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 | true | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 4, "countPercentile": 94, "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": true }, { "range": "3.2–3.6", "count": 24, "current": false }, { "range": "3.6–4.0", "count": 17, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.3723021582733814 ##### count 556 ##### university ###### size 1320 ###### gpa Percentile 20 ###### count Percentile 97 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 53, "gpaPercentile": 27, "countPercentile": 92, "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 3.166317991631799 ##### count 478 ##### university ###### size 1283 ###### gpa Percentile 10 ###### count Percentile 97 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | true | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 48, "gpaPercentile": 15, "countPercentile": 85, "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": true }, { "range": "3.2–3.6", "count": 21, "current": false }, { "range": "3.6–4.0", "count": 19, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5099 ###### gpa 3.6995792410818003 ###### top Share 84.30705259287105 ###### count 159 ##### COMPSCI ###### size 107 ###### gpa 3.6031582726665 ###### top Share 79.22636349778281 ###### count 409 #### terms ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### COMPSCI ###### size 36 ###### gpa 3.352907303323745 ###### top Share 63.88103454195665 ###### count 90.5 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### COMPSCI ###### size 31 ###### gpa 3.329310414227759 ###### top Share 61.243618316797935 ###### count 126 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3453717241366854 ###### top Share 64.2917310505246 ###### count 95.5 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3433846242383978 ###### top Share 63.409438479169644 ###### count 92 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### COMPSCI ###### size 41 ###### gpa 3.3598624373657553 ###### top Share 65.26544910639922 ###### count 91 ##### 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 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72, "sections": 1, "gpa": 3.326388888888889 } ] }, { "uid": "instructor_55db574fcc91dd6c59ce81ab", "name": "SRI HARSHAL PARIMI", "count": 72, "terms": [ { "term": "1204", "count": 72, "sections": 1, "gpa": 3.326388888888889 } ] } ] ``` ## following | code | title | | -------------------- | ------------------------------------------------------------------ | | BME/ECE 463 | COMPUTERS IN MEDICINE | | BSE 405 | ARTIFICIAL INTELLIGENCE IN AGRICULTURE | | COMPSCI 320 | DATA SCIENCE PROGRAMMING II | | COMPSCI 400 | PROGRAMMING III | | COMPSCI 402 | INTRODUCING COMPUTER SCIENCE TO K-12 STUDENTS | | COMPSCI 540 | INTRODUCTION TO ARTIFICIAL INTELLIGENCE | | COMPSCI 550 | ALGORITHMIC GAME THEORY & LEARNING | | COMPSCI 578 | CONTEST-LEVEL PROGRAMMING | | COMPSCI 638 | UNDERGRADUATE TOPICS IN COMPUTING | | COMPSCI/CURRIC 502 | THEORY AND PRACTICE IN COMPUTER SCIENCE EDUCATION | | COMPSCI/ECE 354 | MACHINE ORGANIZATION AND PROGRAMMING | | 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 | | ECE 353 | INTRODUCTION TO MICROPROCESSOR SYSTEMS | | ECE 432 | DIGITAL SIGNAL PROCESSING LABORATORY | | ECE 453 | EMBEDDED MICROPROCESSOR SYSTEM DESIGN | | ECE 455 | CAPSTONE DESIGN IN ELECTRICAL AND COMPUTER ENGINEERING | | ECE 553 | TESTING AND TESTABLE DESIGN OF DIGITAL SYSTEMS | | ECE 556 | DESIGN AUTOMATION OF DIGITAL SYSTEMS | | EP 476 | INTRODUCTION TO SCIENTIFIC COMPUTING FOR ENGINEERING PHYSICS | | GEOG 576 | GEOSPATIAL WEB AND MOBILE PROGRAMMING | | 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 | | NE 412 | NUCLEAR REACTOR DESIGN | | STAT 405 | DATA SCIENCE COMPUTING PROJECT | ## projection ### target 1272 ### interval #### lower 3.13 #### upper 3.66 #### coverage 80 #### terms 7 ### gpa 3.392174482000022 ### grades | grade | percentage | | ----- | ------------------ | | A | 38.70607231509787 | | AB | 27.231695447511818 | | B | 22.665615449390963 | | BC | 5.61840045641924 | | C | 2.3403521780751935 | | D | 2.3586730279479835 | | F | 1.0791911255569275 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 3754 ### same Season true ### historical Range * 3.274539877300613 * 3.580194410692588 ### backtest #### terms 7 #### gpa Error 0.1316492751513418 #### mix Error 10.256347029871435