# COMPSCI 559: Computer Graphics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_559) ## 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 cfcf198e8c1be1efce3d0ab74914b175b6a894b65a5d4d57ceba6b00cd08ee9a ### course id COMPSCI 559 ### course uid course\_93d2f66aee95b30379263c4f ### catalog version id 4e4b37495f497f66fd02b47d52ae0ebb6114b08289f91533bd9eead47630787f ### course number 559 ### subjects * COMPSCI ### title COMPUTER GRAPHICS ### description Survey of computer graphics. Image representation, formation, presentation, composition and manipulation. Modeling, transformation, and display of geometric objects in two and three dimensions. Representation of curves and surfaces. Rendering, animation, multi-media and visualization. Fluency with vector mathematics (e.g., fromMATH 234or a linear algebra class) is recommended. ### requirements text MATH 222and (COMP SCI 367 or400) or graduate/professional standing or declared in the Capstone Certificate in Computer Sciences for Professionals ### credits min 3 ### credits max 3 ### credit offering ids * 1272:266:021402 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 7306af9aa5d3a0a19512beb7286ae0e3b88bb278082486a1ba1e19a589b4770a ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary COMPSCI 559 is a survey of computer graphics covering image representation, geometric modeling, and rendering. ### llm topics * Image representation and composition * Geometric objects in 2D and 3D * Curves and surfaces * Rendering and animation ### llm skills * Image representation and manipulation * Geometric modeling and transformation * Curve and surface representation * Rendering and animation ### llm assumed background * Vector mathematics and linear algebra * Computer graphics fundamentals ### llm search phrases * computer graphics survey * vector mathematics linear algebra * geometric objects modeling transformation * rendering animation visualization ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 97e26a5e074020fef0420659778ba90bbbe8d8c66cf1773e56d28d3e290a5e61 #### course id COMPSCI 559 #### current instructors ```json [ { "instructor_uid": "instructor_ec1878010c68dc0e47f34349", "message": "No course-specific reviews available", "name": "Young Wu", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2510986", "summary": [ { "citations": [ { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 10, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Spring 2024: 3.44 GPA, 71.0% A/AB (n=162 letter grades); Spring 2025: 3.53 GPA, 76.7% A/AB (n=103 letter grades); Fall 2025: 3.67 GPA, 83.6% A/AB (n=110 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload Historical reviews of Michael Gleicher, Perry Kivolowitz: Projects require substantial time, often 30 to 50 hours, and the material is challenging, particularly for those lacking prior C++ or OpenGL experience. ```json { "citations": [ { "instructor_name": "Michael Gleicher", "review_date": "2009-12-11 18:30:15 +0000 UTC", "review_id": "2c56bdcb1df7838c7a45809b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1257605", "source_review_id": "UmF0aW5nLTE2NTMxMjQ0", "source_url": "https://www.ratemyprofessors.com/professor/1257605", "type": "review" }, { "instructor_name": "Perry Kivolowitz", "review_date": "2013-11-21 00:29:12 +0000 UTC", "review_id": "8c2d2ed3c0f943ea60f7a1b8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1554404", "source_review_id": "UmF0aW5nLTIyMzYxNTQ3", "source_url": "https://www.ratemyprofessors.com/professor/1554404", "type": "review" }, { "instructor_name": "Perry Kivolowitz", "review_date": "2013-12-25 15:08:48 +0000 UTC", "review_id": "c92c147a97b2c18772959df7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1554404", "source_review_id": "UmF0aW5nLTIyNjU0Njgz", "source_url": "https://www.ratemyprofessors.com/professor/1554404", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Michael Gleicher: Michael Gleicher provides organized lectures, comprehensive knowledge, and supportive project foundations, though his classes remain difficult and time-intensive. Reviewers praise his passion and adaptability, while noting the significant workload required for the projects. ```json { "citations": [ { "instructor_name": "Michael Gleicher", "review_date": "2009-12-11 18:30:15 +0000 UTC", "review_id": "2c56bdcb1df7838c7a45809b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1257605", "source_review_id": "UmF0aW5nLTE2NTMxMjQ0", "source_url": "https://www.ratemyprofessors.com/professor/1257605", "type": "review" }, { "instructor_name": "Michael Gleicher", "review_date": "2019-04-15 02:52:45 +0000 UTC", "review_id": "396379846f7c90144d03a698", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1257605", "source_review_id": "UmF0aW5nLTMxNTkyMzE4", "source_url": "https://www.ratemyprofessors.com/professor/1257605", "type": "review" }, { "instructor_name": "Michael Gleicher", "review_date": "2021-04-29 17:26:19 +0000 UTC", "review_id": "fe3ba056cc413c08ae47f653", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1257605", "source_review_id": "UmF0aW5nLTM0NjU4NzYx", "source_url": "https://www.ratemyprofessors.com/professor/1257605", "type": "review" }, { "instructor_name": "Michael Gleicher", "review_date": "2026-04-22 23:46:43 +0000 UTC", "review_id": "25c9d17234572be259745943", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1257605", "source_review_id": "UmF0aW5nLTQyOTA2NDQ5", "source_url": "https://www.ratemyprofessors.com/professor/1257605", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews of Michael Gleicher, Perry Kivolowitz: The course offers engaging projects and strong instruction from passionate professors like Michael Gleicher, though it demands significant time and effort from students. ```json { "citations": [ { "instructor_name": "Michael Gleicher", "review_date": "2009-12-11 18:30:15 +0000 UTC", "review_id": "2c56bdcb1df7838c7a45809b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1257605", "source_review_id": "UmF0aW5nLTE2NTMxMjQ0", "source_url": "https://www.ratemyprofessors.com/professor/1257605", "type": "review" }, { "instructor_name": "Perry Kivolowitz", "review_date": "2011-03-29 13:47:56 +0000 UTC", "review_id": "5518f9c9a34b9abdf8cfe3d6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1554404", "source_review_id": "UmF0aW5nLTE4MzI3MTA1", "source_url": "https://www.ratemyprofessors.com/professor/1554404", "type": "review" }, { "instructor_name": "Michael Gleicher", "review_date": "2021-04-29 17:26:19 +0000 UTC", "review_id": "fe3ba056cc413c08ae47f653", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1257605", "source_review_id": "UmF0aW5nLTM0NjU4NzYx", "source_url": "https://www.ratemyprofessors.com/professor/1257605", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.59 GPA, 79.7% A/AB (n=123 letter grades); Fall 2025: 3.67 GPA, 83.6% A/AB (n=110 letter grades); Spring 2026: 3.23 GPA, 69.9% A/AB (n=83 letter grades). ```json { "citations": [ { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Eftychios Sifakis: Students appreciate clear explanations of computer graphics principles and engaging lectures, finding the projects inspiring and well-structured when attending class. ```json { "citations": [ { "instructor_name": "Eftychios Sifakis", "review_date": "2017-09-20 12:26:19 +0000 UTC", "review_id": "aebf47f97fc4dc7d333ae3d3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1727820", "source_review_id": "UmF0aW5nLTI4Njg2MTYw", "source_url": "https://www.ratemyprofessors.com/professor/1727820", "type": "review" }, { "instructor_name": "Eftychios Sifakis", "review_date": "2026-02-26 19:28:08 +0000 UTC", "review_id": "94822953a0fb2c0cfe712101", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1727820", "source_review_id": "UmF0aW5nLTQyNjQ4Mjgw", "source_url": "https://www.ratemyprofessors.com/professor/1727820", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history EFTYCHIOS SIFAKIS is recorded teaching in Spring 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ] } ``` MICHAEL GLEICHER is recorded teaching in Fall 2006, Fall 2007, Fall 2008, Fall 2009, Fall 2010, Fall 2014, Fall 2015, Spring 2019, Spring 2020, Spring 2022, Spring 2023, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1072", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1082", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` PERRY KIVOLOWITZ is recorded teaching in Spring 2011, Fall 2011, Fall 2012, Spring 2013, Fall 2013. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1114", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" } ] } ``` YOUNG WU is recorded teaching in Spring 2020, Spring 2024, Spring 2025, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 10, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 559", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "source_record": { "entity_id": "323b9c99-a1d7-37d7-a524-7ad3d318b85d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "MATH 222and (COMP SCI 367 or400) or graduate/professional standing or declared in the Capstone Certificate in Computer Sciences for Professionals", "id": "n0", "kind": "any" }, { "children": [ "n4", "n5" ], "condition": null, "course": null, "evidence": "MATH 222and (COMP SCI 367 or400)", "id": "n1", "kind": "all" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n2", "kind": "condition" }, { "children": [], "condition": "declared in the Capstone Certificate in Computer Sciences for Professionals", "course": null, "evidence": "declared in the Capstone Certificate in Computer Sciences for Professionals", "id": "n3", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 222, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 222", "id": "n4", "kind": "course" }, { "children": [ "n6", "n7" ], "condition": null, "course": null, "evidence": "COMP SCI 367 or400", "id": "n5", "kind": "any" }, { "children": [], "condition": "COMP SCI 367", "course": null, "evidence": "COMP SCI 367", "id": "n6", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 400, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 367 or400", "id": "n7", "kind": "course" } ] ``` #### notes * COMPSCI 367 is not found in the local dataset; treated as a verbatim condition requiring review. * COMPSCI 400 is found in the local dataset. #### root n0 #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_ec1878010c68dc0e47f34349", "source": "enrollment", "source_instructor_id": "wu489", "identity_basis": "netid", "identity_status": "source_identified", "name": "Young Wu", "email": "YW@CS.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": 48, "quality": 2.6, "difficulty": 3.54, "quality_count": 48, "difficulty_count": 48, "profile_id": "rmp:2510986", "source_url": "https://www.ratemyprofessors.com/professor/2510986", "match_basis": "exact_name", "observed_at": "2026-09-07 15:57:31.649346+00:00", "courses": { "course_e0f984e8747ee9ccaba16d75": { "review_count": 29, "quality": 2.45, "difficulty": 3.72, "quality_count": 29, "difficulty_count": 29 }, "course_1dae8ec78980ea57dc44f5c9": { "review_count": 9, "quality": 2.11, "difficulty": 3.78, "quality_count": 9, "difficulty_count": 9 }, "course_de12e29109d0c90ee086fcec": { "review_count": 3, "quality": 2.33, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 2.9116722892784104, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/YOUNG_WU" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:266:021402", "course_id": "COMPSCI 559", "course_uid": "course_93d2f66aee95b30379263c4f", "term_id": "1272", "source_course_id": "021402", "source_subject_id": "266", "title": "Computer Graphics", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:20176", "term_id": "1272", "source_section_id": "20176", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 110, "enrolled": 88, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { 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"identity_status": "source_identified", "name": "BHUYASHI DEKA", "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": 3.332, "graded": 348, "counts": [ 159, 76, 47, 17, 33, 8, 8 ], "sections": 2 }, "instructor_url": "/instructors/BHUYASHI_DEKA--instructor_578b330b41a8b8add5c9debd" }, { "instructor_uid": "instructor_ec1878010c68dc0e47f34349", "source": "enrollment", "source_instructor_id": "wu489", "identity_basis": "netid", "identity_status": "source_identified", "name": "Young Wu", "email": "YW@CS.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": 48, "quality": 2.6, "difficulty": 3.54, "quality_count": 48, "difficulty_count": 48, "profile_id": "rmp:2510986", "source_url": "https://www.ratemyprofessors.com/professor/2510986", "match_basis": "exact_name", "observed_at": "2026-09-07 15:57:31.649346+00:00", "courses": { "course_e0f984e8747ee9ccaba16d75": { "review_count": 29, "quality": 2.45, "difficulty": 3.72, "quality_count": 29, "difficulty_count": 29 }, "course_1dae8ec78980ea57dc44f5c9": { "review_count": 9, "quality": 2.11, "difficulty": 3.78, "quality_count": 9, "difficulty_count": 9 }, "course_de12e29109d0c90ee086fcec": { "review_count": 3, "quality": 2.33, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 2.9116722892784104, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/YOUNG_WU" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 559", "course_uid": "course_93d2f66aee95b30379263c4f", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "Michael Gleicher" ], "a": 10, "ab": 16, "b": 8, "bc": 3, "c": 2, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, 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5, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 179, "source_aliases": [ "COMPSCI 559" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 559", "course_uid": "course_93d2f66aee95b30379263c4f", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Eftychios Sifakis", "RUOHUI WANG", "SPENCER SCHOENBERG", "Siming Li", "THAO NGUYEN" ], "a": 61, "ab": 44, "b": 57, "bc": 12, "c": 3, "d": 3, "f": 4, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 185, "source_aliases": [ "COMPSCI 559" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 559", "course_uid": "course_93d2f66aee95b30379263c4f", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Michael Gleicher", "PRANAV RAO", "RUOHUI WANG", "SPENCER SCHOENBERG", "THAO NGUYEN" ], "a": 53, "ab": 57, "b": 31, "bc": 10, "c": 9, "d": 4, "f": 3, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 168, "source_aliases": [ "COMPSCI 559" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 559", "course_uid": "course_93d2f66aee95b30379263c4f", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "DANIEL KILLOUGH", "ERIC BRANDT", "Eftychios Sifakis", "JACK STANEK", "SANGEETHA GRAMA SRINIVASAN" ], "a": 38, "ab": 32, "b": 43, "bc": 10, "c": 1, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 125, "source_aliases": [ "COMPSCI 559" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 559", "course_uid": "course_93d2f66aee95b30379263c4f", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "ALEX PESECKIS", "ALEX SMITH", "DANIEL KILLOUGH", "DANIEL MCNEELA", "PRANAV RAO", "Siming Li", "Young Wu" ], "a": 92, "ab": 23, "b": 23, "bc": 11, "c": 4, "d": 4, "f": 5, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 165, "source_aliases": [ "COMPSCI 559" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 559", "course_uid": "course_93d2f66aee95b30379263c4f", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "ERIC BRANDT", "Eftychios Sifakis", "JACK STANEK" ], "a": 35, "ab": 28, "b": 36, "bc": 7, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 107, "source_aliases": [ "COMPSCI 559" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 559", "course_uid": "course_93d2f66aee95b30379263c4f", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "ALEX PESECKIS", "DANIEL KILLOUGH", "JAEHYUN LEE", "Michael Gleicher", "Young Wu" ], "a": 82, "ab": 16, "b": 12, "bc": 4, "c": 5, "d": 1, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 124, "source_aliases": [ "COMPSCI 559" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 559", "course_uid": "course_93d2f66aee95b30379263c4f", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "JAEHYUN LEE", "SHUTONG WU", "Young Wu" ], "a": 84, "ab": 8, "b": 8, "bc": 3, "c": 3, "d": 2, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 110, "source_aliases": [ "COMPSCI 559" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI 559", "course_uid": "course_93d2f66aee95b30379263c4f", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "ALEX PESECKIS", "BHUYASHI DEKA", "Michael Gleicher" ], "a": 39, "ab": 19, "b": 10, "bc": 0, "c": 6, "d": 4, "f": 5, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 84, "source_aliases": [ "COMPSCI 559" ] } ] ``` ### statistics #### gpa 3.29 #### graded 2980 #### counts * 1046 * 773 * 663 * 236 * 137 * 63 * 62 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_93d2f66aee95b30379263c4f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_93d2f66aee95b30379263c4f-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_93d2f66aee95b30379263c4f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_93d2f66aee95b30379263c4f-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_93d2f66aee95b30379263c4f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_93d2f66aee95b30379263c4f-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_93d2f66aee95b30379263c4f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_93d2f66aee95b30379263c4f-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_93d2f66aee95b30379263c4f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_93d2f66aee95b30379263c4f-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.290436241610738 #### count 2980 #### university ##### size 5720 ##### gpa Percentile 10 ##### count Percentile 95 ##### median Count 223 ##### 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 | 11 | false | | 2.8–3.2 | 350 | false | | 3.2–3.6 | 1554 | true | | 3.6–4.0 | 3805 | false | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 111, "gpaPercentile": 15, "countPercentile": 87, "medianCount": 542, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 32, "current": true }, { "range": "3.6–4.0", "count": 64, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.2560975609756095 ##### count 41 ##### university ###### size 723 ###### gpa Percentile 39 ###### count Percentile 23 ###### 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 | 62 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 306 | true | | 3.6–4.0 | 180 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 13, "gpaPercentile": 92, "countPercentile": 25, "medianCount": 60, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1082 ##### term 1082 ##### gpa 3.171875 ##### count 32 ##### university ###### size 723 ###### gpa Percentile 33 ###### count Percentile 7 ###### 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 | 51 | false | | 2.8–3.2 | 202 | true | | 3.2–3.6 | 265 | false | | 3.6–4.0 | 204 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 15, "gpaPercentile": 50, "countPercentile": 7, "medianCount": 49, "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": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 3.3333333333333335 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1092 ##### term 1092 ##### gpa 2.98 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1102 ##### term 1102 ##### gpa 3.183333333333333 ##### count 30 ##### university ###### size 774 ###### gpa Percentile 32 ###### count Percentile 0 ###### 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 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | true | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 19, "gpaPercentile": 56, "countPercentile": 0, "medianCount": 61, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 2.903225806451613 ##### count 31 ##### university ###### size 793 ###### gpa Percentile 11 ###### count Percentile 3 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | true | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 22, "gpaPercentile": 24, "countPercentile": 0, "medianCount": 51.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 11, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 2.85 ##### count 30 ##### university ###### size 805 ###### gpa Percentile 9 ###### count Percentile 0 ###### 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 | 45 | false | | 2.8–3.2 | 218 | true | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 27, "gpaPercentile": 4, "countPercentile": 0, "medianCount": 41, "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": 10, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 3.3333333333333335 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1122 ##### term 1122 ##### gpa 3.442857142857143 ##### count 35 ##### university ###### size 804 ###### gpa Percentile 57 ###### count Percentile 10 ###### 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 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 282 | true | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 20, "gpaPercentile": 89, "countPercentile": 11, "medianCount": 54.5, "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": 10, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 3.375 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1132 ##### term 1132 ##### gpa 3.058139534883721 ##### count 43 ##### university ###### size 851 ###### gpa Percentile 20 ###### count Percentile 27 ###### 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 | 40 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 23, "gpaPercentile": 27, "countPercentile": 36, "medianCount": 56, "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": 11, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.225 ##### count 40 ##### university ###### size 852 ###### gpa Percentile 33 ###### count Percentile 21 ###### 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 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | true | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 22, "gpaPercentile": 57, "countPercentile": 19, "medianCount": 68, "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": 9, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.0972222222222223 ##### count 36 ##### university ###### size 853 ###### gpa Percentile 23 ###### count Percentile 12 ###### 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 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | true | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 28, "gpaPercentile": 26, "countPercentile": 19, "medianCount": 47.5, "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": 13, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 2.8015873015873014 ##### count 63 ##### university ###### size 918 ###### gpa Percentile 4 ###### count Percentile 47 ###### 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 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 30, "gpaPercentile": 7, "countPercentile": 66, "medianCount": 48.5, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 2.84375 ##### count 48 ##### university ###### size 935 ###### gpa Percentile 6 ###### count Percentile 32 ###### median Count 63 ###### 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 | 38 | false | | 2.8–3.2 | 237 | true | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 7, "countPercentile": 23, "medianCount": 63, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 2.892857142857143 ##### count 56 ##### university ###### size 954 ###### gpa Percentile 6 ###### count Percentile 43 ###### median Count 64.5 ###### 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 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 35, "gpaPercentile": 6, "countPercentile": 50, "medianCount": 56, "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": 14, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.1066666666666665 ##### count 75 ##### university ###### size 965 ###### gpa Percentile 17 ###### count Percentile 55 ###### 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 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | true | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 32, "gpaPercentile": 26, "countPercentile": 45, "medianCount": 84, "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": 3, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.1557377049180326 ##### count 61 ##### university ###### size 991 ###### gpa Percentile 22 ###### count Percentile 44 ###### 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 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | true | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 40, "countPercentile": 40, "medianCount": 74, "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": 16, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.2 ##### count 75 ##### university ###### size 955 ###### gpa Percentile 27 ###### count Percentile 53 ###### 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 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | true | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 30, "gpaPercentile": 48, "countPercentile": 24, "medianCount": 108, "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": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.2111111111111112 ##### count 90 ##### university ###### size 1025 ###### gpa Percentile 24 ###### count Percentile 63 ###### 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 | false | | 3.2–3.6 | 369 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 36, "gpaPercentile": 40, "countPercentile": 49, "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": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.2875 ##### count 120 ##### university ###### size 1010 ###### gpa Percentile 30 ###### count Percentile 75 ###### 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 | false | | 3.2–3.6 | 355 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 53, "countPercentile": 43, "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": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.2970588235294116 ##### count 170 ##### university ###### size 1040 ###### gpa Percentile 30 ###### count Percentile 86 ###### 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 | false | | 3.2–3.6 | 342 | true | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 38, "gpaPercentile": 54, "countPercentile": 73, "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": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.401639344262295 ##### count 122 ##### university ###### size 1102 ###### gpa Percentile 37 ###### count Percentile 73 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": 58, "countPercentile": 60, "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 3.2518248175182483 ##### count 137 ##### university ###### size 1012 ###### gpa Percentile 4 ###### count Percentile 81 ###### 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": 2, "countPercentile": 68, "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 3.381294964028777 ##### count 139 ##### university ###### size 1111 ###### gpa Percentile 26 ###### count Percentile 78 ###### 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": 41, "countPercentile": 61, "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 3.5232558139534884 ##### count 172 ##### university ###### size 1157 ###### gpa Percentile 39 ###### count Percentile 84 ###### 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": 67, "countPercentile": 69, "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 3.159217877094972 ##### count 179 ##### university ###### size 1171 ###### gpa Percentile 15 ###### count Percentile 87 ###### 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 | true | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 45, "gpaPercentile": 20, "countPercentile": 68, "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": true }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 17, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.3043478260869565 ##### count 184 ##### university ###### size 1216 ###### gpa Percentile 21 ###### count Percentile 84 ###### 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": 27, "countPercentile": 73, "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 3.302395209580838 ##### count 167 ##### university ###### size 1188 ###### gpa Percentile 22 ###### count Percentile 84 ###### 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": 36, "countPercentile": 62, "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 3.36 ##### count 125 ##### university ###### size 1295 ###### gpa Percentile 24 ###### count Percentile 76 ###### 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": 35, "countPercentile": 61, "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 3.4382716049382718 ##### count 162 ##### university ###### size 1241 ###### gpa Percentile 28 ###### count Percentile 84 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 47, "countPercentile": 60, "medianCount": 116, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 18, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.4158878504672896 ##### count 107 ##### university ###### size 1333 ###### gpa Percentile 24 ###### count Percentile 70 ###### 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": 42, "countPercentile": 55, "medianCount": 101, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 23, "current": true }, { "range": "3.6–4.0", "count": 22, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.5853658536585367 ##### count 123 ##### university ###### size 1289 ###### gpa Percentile 39 ###### count Percentile 77 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 63, "countPercentile": 59, "medianCount": 105, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 24, "current": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.668181818181818 ##### count 110 ##### university ###### size 1320 ###### gpa Percentile 47 ###### count Percentile 69 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 53, "gpaPercentile": 69, "countPercentile": 60, "medianCount": 82, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 22, "current": false }, { "range": "3.6–4.0", "count": 21, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.2349397590361444 ##### count 83 ##### university ###### size 1283 ###### gpa Percentile 14 ###### count Percentile 60 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 48, "gpaPercentile": 21, "countPercentile": 38, "medianCount": 105.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 21, "current": true }, { "range": "3.6–4.0", "count": 19, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5720 ###### gpa 3.67542239878544 ###### top Share 82.77765436527736 ###### count 223 ##### COMPSCI ###### size 111 ###### gpa 3.5890147674625643 ###### top Share 78.67235795981578 ###### count 542 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### COMPSCI ###### size 13 ###### gpa 2.984228192055664 ###### top Share 46.24763313433178 ###### count 60 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### COMPSCI ###### size 15 ###### gpa 3.146224995259422 ###### top Share 51.28801425895212 ###### count 49 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### COMPSCI ###### size 14 ###### gpa 3.144553029581605 ###### top Share 50.3940565180559 ###### count 59 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### COMPSCI ###### size 16 ###### gpa 3.14888347660136 ###### top Share 52.49548911325188 ###### count 66.5 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### COMPSCI ###### size 19 ###### gpa 3.1851402069816737 ###### top Share 53.3667497934056 ###### count 61 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### COMPSCI ###### size 22 ###### gpa 3.200534462173063 ###### top Share 56.78409435721555 ###### count 51.5 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### COMPSCI ###### size 27 ###### gpa 3.2907039795974518 ###### top Share 61.485726181424475 ###### count 41 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### COMPSCI ###### size 18 ###### gpa 3.266230341473234 ###### top Share 59.94733477037724 ###### count 58 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### COMPSCI ###### size 20 ###### gpa 3.20674670802027 ###### top Share 56.51588103392879 ###### count 54.5 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### COMPSCI ###### size 22 ###### gpa 3.1674244675767893 ###### top Share 54.635052791099376 ###### count 59 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### COMPSCI ###### size 23 ###### gpa 3.2325357852525465 ###### top Share 57.33650851473996 ###### count 56 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### COMPSCI ###### size 22 ###### gpa 3.2424086213492718 ###### top Share 59.28222765244668 ###### count 68 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### COMPSCI ###### size 28 ###### gpa 3.279575360328891 ###### top Share 60.13197427273153 ###### count 47.5 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### COMPSCI ###### size 30 ###### gpa 3.3169698368361287 ###### top Share 64.20051564737066 ###### count 48.5 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### COMPSCI ###### size 31 ###### gpa 3.3515611477246905 ###### top Share 66.93977839039297 ###### count 63 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### COMPSCI ###### size 35 ###### gpa 3.3323013900568625 ###### top Share 63.38685451839816 ###### count 56 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### COMPSCI ###### size 32 ###### gpa 3.2951719476979457 ###### top Share 63.07751525075427 ###### count 84 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### COMPSCI ###### size 31 ###### gpa 3.3325489227746874 ###### top Share 61.97665055034616 ###### count 74 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### COMPSCI ###### size 30 ###### gpa 3.3383019285046376 ###### top Share 63.22952984555728 ###### count 108 ##### 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 ##### 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 3.5022746140005943 ###### top Share 73.13318776233326 ###### count 105.5 ## instructor Trends ```json [ { "uid": "instructor_491da83116703d1b3c269e13", "name": "EFTYCHIOS SIFAKIS", "count": 1196, "terms": [ { "term": "1154", "count": 48, "sections": 1, "gpa": 2.84375 }, { "term": "1164", "count": 75, "sections": 1, "gpa": 3.1066666666666665 }, { "term": "1172", "count": 61, "sections": 1, "gpa": 3.1557377049180326 }, { "term": "1174", "count": 75, "sections": 1, "gpa": 3.2 }, { "term": "1182", "count": 90, "sections": 1, "gpa": 3.2111111111111112 }, { "term": "1184", "count": 120, "sections": 1, "gpa": 3.2875 }, { "term": "1212", "count": 139, "sections": 1, "gpa": 3.381294964028777 }, { "term": "1222", "count": 172, "sections": 1, "gpa": 3.5232558139534884 }, { "term": "1232", "count": 184, "sections": 1, "gpa": 3.3043478260869565 }, { "term": "1242", "count": 125, "sections": 1, "gpa": 3.36 }, { "term": "1252", "count": 107, "sections": 1, "gpa": 3.4158878504672896 } ] }, { "uid": "instructor_bfe4bee42dc667c0fd32a915", "name": "MICHAEL GLEICHER", "count": 1033, "terms": [ { "term": "1072", "count": 41, "sections": 1, "gpa": 3.2560975609756095 }, { "term": "1082", "count": 32, "sections": 1, "gpa": 3.171875 }, { "term": "1092", "count": 25, "sections": 1, "gpa": 2.98 }, { "term": "1102", "count": 30, "sections": 1, "gpa": 3.183333333333333 }, { "term": "1112", "count": 30, "sections": 1, "gpa": 2.85 }, { "term": "1152", "count": 63, "sections": 1, "gpa": 2.8015873015873014 }, { "term": "1162", "count": 56, "sections": 1, "gpa": 2.892857142857143 }, { "term": "1194", "count": 170, "sections": 1, "gpa": 3.2970588235294116 }, { "term": "1204", "count": 137, "sections": 1, "gpa": 3.2518248175182483 }, { "term": "1224", "count": 179, "sections": 1, "gpa": 3.159217877094972 }, { "term": "1234", "count": 167, "sections": 1, "gpa": 3.302395209580838 }, { "term": "1254", "count": 20, "sections": 1, "gpa": 3.875 }, { "term": "1264", "count": 83, "sections": 1, "gpa": 3.2349397590361444 } ] }, { "uid": "instructor_fad528decfa16fb8beeaa024", "name": "YIMING LI", "count": 676, "terms": [ { "term": "1222", "count": 172, "sections": 1, "gpa": 3.5232558139534884 }, { "term": "1224", "count": 179, "sections": 1, "gpa": 3.159217877094972 }, { "term": "1232", "count": 184, "sections": 1, "gpa": 3.3043478260869565 }, { "term": "1244", "count": 141, "sections": 1, "gpa": 3.358156028368794 } ] }, { "uid": "instructor_b2baa6eb84b1741dc3592e4d", "name": "YOUNG WU", "count": 512, "terms": [ { "term": "1204", "count": 137, "sections": 1, "gpa": 3.2518248175182483 }, { "term": "1244", "count": 162, "sections": 2, "gpa": 3.4382716049382718 }, { "term": "1254", "count": 103, "sections": 1, "gpa": 3.529126213592233 }, { "term": "1262", "count": 110, "sections": 1, "gpa": 3.668181818181818 } ] }, { "uid": "instructor_493ba46dfb6e37ab7bacdfb6", "name": "DANIEL KILLOUGH", "count": 369, "terms": [ { "term": "1242", "count": 125, "sections": 1, "gpa": 3.36 }, { "term": "1244", "count": 141, "sections": 1, "gpa": 3.358156028368794 }, { "term": "1254", "count": 103, "sections": 1, "gpa": 3.529126213592233 } ] }, { "uid": "instructor_1241e8f9f1e14e48faf4c81d", "name": "THAO NGUYEN", "count": 351, "terms": [ { "term": "1232", "count": 184, "sections": 1, "gpa": 3.3043478260869565 }, { "term": "1234", "count": 167, "sections": 1, "gpa": 3.302395209580838 } ] }, { "uid": "instructor_631962329774a4859d157d35", "name": "SPENCER SCHOENBERG", "count": 351, "terms": [ { "term": "1232", "count": 184, "sections": 1, "gpa": 3.3043478260869565 }, { "term": "1234", "count": 167, "sections": 1, "gpa": 3.302395209580838 } ] }, { "uid": "instructor_8656b790c14ecbbc506362e5", "name": "CARTER SIFFERMAN", "count": 351, "terms": [ { "term": "1222", "count": 172, "sections": 1, "gpa": 3.5232558139534884 }, { "term": "1224", "count": 179, "sections": 1, "gpa": 3.159217877094972 } ] }, { "uid": "instructor_e3513867d4ad0270453a0f9d", "name": "HYO JOON PARK", "count": 351, "terms": [ { "term": "1222", "count": 172, "sections": 1, "gpa": 3.5232558139534884 }, { "term": "1224", "count": 179, "sections": 1, "gpa": 3.159217877094972 } ] }, { "uid": "instructor_f283cf7d4afe59ddb2412cd5", "name": "RUOHUI WANG", "count": 351, "terms": [ { "term": "1232", "count": 184, "sections": 1, "gpa": 3.3043478260869565 }, { "term": "1234", "count": 167, "sections": 1, "gpa": 3.302395209580838 } ] }, { "uid": "instructor_1187c0947b50cc219a99455e", "name": "PRANAV RAO", "count": 308, "terms": [ { "term": "1234", "count": 167, "sections": 1, "gpa": 3.302395209580838 }, { "term": "1244", "count": 141, "sections": 1, "gpa": 3.358156028368794 } ] }, { "uid": "instructor_87bb8ecef643777802cf805f", "name": "ALEX PESECKIS", "count": 244, "terms": [ { "term": "1244", "count": 141, "sections": 1, "gpa": 3.358156028368794 }, { "term": "1254", "count": 20, "sections": 1, "gpa": 3.875 }, { "term": "1264", "count": 83, "sections": 1, "gpa": 3.2349397590361444 } ] }, { "uid": "instructor_9f9dc36473c6c53a5b11584e", "name": "ERIC BRANDT", "count": 232, "terms": [ { "term": "1242", "count": 125, "sections": 1, "gpa": 3.36 }, { "term": "1252", "count": 107, "sections": 1, "gpa": 3.4158878504672896 } ] }, { "uid": "instructor_a1841021bd0dd2a9735cfe99", "name": "JACK STANEK", "count": 232, "terms": [ { "term": "1242", "count": 125, "sections": 1, "gpa": 3.36 }, { "term": "1252", "count": 107, "sections": 1, "gpa": 3.4158878504672896 } ] }, { "uid": "instructor_32c61a2da9c6b7e30a81951a", "name": "JAEHYUN LEE", "count": 213, "terms": [ { "term": "1254", "count": 103, "sections": 1, "gpa": 3.529126213592233 }, { "term": "1262", "count": 110, "sections": 1, "gpa": 3.668181818181818 } ] }, { "uid": "instructor_2e53c09a73e4dc7a7a6d139b", "name": "PERRY KIVOLOWITZ", "count": 181, "terms": [ { "term": "1114", "count": 27, "sections": 1, "gpa": 3.3333333333333335 }, { "term": "1122", "count": 35, "sections": 1, "gpa": 3.442857142857143 }, { "term": "1132", "count": 43, "sections": 1, "gpa": 3.058139534883721 }, { "term": "1134", "count": 40, "sections": 1, "gpa": 3.225 }, { "term": "1142", "count": 36, "sections": 1, "gpa": 3.0972222222222223 } ] }, { "uid": "instructor_8b730a70f992f8bc6a1dc673", "name": "BO-HSUN CHEN", "count": 179, "terms": [ { "term": "1224", "count": 179, "sections": 1, "gpa": 3.159217877094972 } ] }, { "uid": "instructor_7dcfac108268a85a3760e1a9", "name": "YUTIAN TAO", "count": 172, "terms": [ { "term": "1222", "count": 172, "sections": 1, "gpa": 3.5232558139534884 } ] }, { "uid": "instructor_15bcf378813077e24bca6aa9", "name": "DANIEL MCNEELA", "count": 141, "terms": [ { "term": "1244", "count": 141, "sections": 1, "gpa": 3.358156028368794 } ] }, { "uid": "instructor_2eeefe89b42a3dd4bdf65b61", "name": "ALEX SMITH", "count": 141, "terms": [ { "term": "1244", "count": 141, "sections": 1, "gpa": 3.358156028368794 } ] }, { "uid": "instructor_63792b6e931edc4d48e3a3d0", "name": "NILS PALUMBO", "count": 137, "terms": [ { "term": "1204", "count": 137, "sections": 1, "gpa": 3.2518248175182483 } ] }, { "uid": "instructor_7a837fc27fd726a1d2153b90", "name": "ARIJIT PRAMANIK", "count": 137, "terms": [ { "term": "1204", "count": 137, "sections": 1, "gpa": 3.2518248175182483 } ] }, { "uid": "instructor_9e6aa9c96fef2d0a2c675d44", "name": "DANIEL KIEL", "count": 137, "terms": [ { "term": "1204", "count": 137, "sections": 1, "gpa": 3.2518248175182483 } ] }, { "uid": "instructor_b79ffea7242d02d9b19753d3", "name": "SANGEETHA GRAMA SRINIVASAN", "count": 125, "terms": [ { "term": "1242", "count": 125, "sections": 1, "gpa": 3.36 } ] }, { "uid": "instructor_376021a002186e155fa2c533", "name": "FLORIAN HEIMERL", "count": 122, "terms": [ { "term": "1202", "count": 122, "sections": 1, "gpa": 3.401639344262295 } ] }, { "uid": "instructor_229d413ed451e0556b97a4e2", "name": "SHUTONG WU", "count": 110, "terms": [ { "term": "1262", "count": 110, "sections": 1, "gpa": 3.668181818181818 } ] }, { "uid": "instructor_578b330b41a8b8add5c9debd", "name": "BHUYASHI DEKA", "count": 83, "terms": [ { "term": "1264", "count": 83, "sections": 1, "gpa": 3.2349397590361444 } ] }, { "uid": "instructor_8cafc2bfd7dae95aff9984df", "name": "ZHANG LI", "count": 73, "terms": [ { "term": "1084", "count": 18, "sections": 1, "gpa": 3.3333333333333335 }, { "term": "1104", "count": 31, "sections": 1, "gpa": 2.903225806451613 }, { "term": "1124", "count": 24, "sections": 1, "gpa": 3.375 } ] }, { "uid": "instructor_f85dbea9a268fd561193462b", "name": "SEAN BAUER", "count": 43, "terms": [ { "term": "1132", "count": 43, "sections": 1, "gpa": 3.058139534883721 } ] }, { "uid": "instructor_27825d48110db3b3617e0990", "name": "ALEXANDER PEER", "count": 40, "terms": [ { "term": "1134", "count": 40, "sections": 1, "gpa": 3.225 } ] }, { "uid": "instructor_f6c97e78d336ba132a29f82d", "name": "MING GAO", "count": 36, "terms": [ { "term": "1142", "count": 36, "sections": 1, "gpa": 3.0972222222222223 } ] }, { "uid": "instructor_28c7d2190d12a9a65fd60f74", "name": "LESLIE WATKINS", "count": 27, "terms": [ { "term": "1114", "count": 27, "sections": 1, "gpa": 3.3333333333333335 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.13 #### upper 3.83 #### coverage 80 #### terms 8 ### gpa 3.4763933147630652 ### grades | grade | percentage | | ----- | ------------------ | | A | 46.15518267440298 | | AB | 20.80332561621068 | | B | 24.129815270702448 | | BC | 5.663845462157706 | | C | 1.4343523582134245 | | D | 0.7891969380287571 | | F | 1.024281680283998 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 698 ### same Season true ### historical Range * 3.3043478260869565 * 3.6681818181818184 ### backtest #### terms 8 #### gpa Error 0.1723275297883896 #### mix Error 15.507176364851535