# COMPSCI/DS 579: Virtual Reality | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_DS_579) ## 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 4ed38d9e99d9c6af1321e96eb2be8618ddb3c6834318e9442c78573df12b0b19 ### course id COMPSCI/DS 579 ### course uid course\_c9d3d50080500b102189e67a ### catalog version id bda7b63c91496923b4b5d543cc1cb375edf5771f1d3c95e1993c9e0c93974eb5 ### course number 579 ### subjects * COMPSCI * DS ### title VIRTUAL REALITY ### description Introduces the field of virtual reality with an emphasis on creating immersive, interactive virtual experiences. Survey topics include the history of virtual reality technology, computer graphics and 3D modeling, human perception and psychology, and principles of human-computer interaction and user interface design. Is intended for individuals with backgrounds in Computer Science, Engineering, Art, Architecture, or Design. ### requirements text Sophomore standing ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id b655ed3604c75a80624bbe1976363a4193bc51a5e47e812109650b37e88223e1 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary COMPSCI/DS 579 VIRTUAL REALITY introduces the field of virtual reality with an emphasis on creating immersive, interactive virtual experiences. ### llm topics * History of virtual reality technology * Computer graphics and 3D modeling * Human perception and psychology ### llm skills * Creating immersive, interactive virtual experiences * Human-computer interaction and user interface design ### llm assumed background * Background in Computer Science, Engineering, Art, Architecture, or Design ### llm search phrases * virtual reality course * immersive virtual experiences * 3D modeling VR * human-computer interaction design * virtual reality history ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash ea327db54760ff452890a2c4936da303887bb08ee1fdef0e3f9e33fadf3186ac #### course id COMPSCI/DS 579 #### current instructors None recorded. #### difficulty workload Historical reviews of J. Michael Collins: Exams require policy application rather than memorization, but the final exam is difficult due to insufficient time for the question volume. ```json { "citations": [ { "instructor_name": "J. Michael Collins", "review_date": "2014-12-15 10:36:01 +0000 UTC", "review_id": "69763bc67b90b60967a4c0e6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1288719", "source_review_id": "UmF0aW5nLTI0MDgyNzU2", "source_url": "https://www.ratemyprofessors.com/professor/1288719", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of J. Michael Collins: J. Michael Collins teaches students how to write memos effectively, focusing on policy application rather than memorization. While he provides useful writing instruction, reviewers note that his lectures can sometimes be boring. ```json { "citations": [ { "instructor_name": "J. Michael Collins", "review_date": "2014-12-15 10:36:01 +0000 UTC", "review_id": "69763bc67b90b60967a4c0e6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1288719", "source_review_id": "UmF0aW5nLTI0MDgyNzU2", "source_url": "https://www.ratemyprofessors.com/professor/1288719", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews of J. Michael Collins: J. Michael Collins teaches policy application and memo writing, though lectures can be boring and the final exam is time-constrained. ```json { "citations": [ { "instructor_name": "J. Michael Collins", "review_date": "2014-12-15 10:36:01 +0000 UTC", "review_id": "69763bc67b90b60967a4c0e6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1288719", "source_review_id": "UmF0aW5nLTI0MDgyNzU2", "source_url": "https://www.ratemyprofessors.com/professor/1288719", "type": "review" } ] } ``` Recent recorded grades — Spring 2024: 3.78 GPA, 84.5% A/AB (n=97 letter grades); Spring 2025: 3.81 GPA, 87.4% A/AB (n=95 letter grades); Spring 2026: 3.55 GPA, 80.4% A/AB (n=92 letter grades). ```json { "citations": [ { "course_id": "COMPSCI/DS 579", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a51faa36-2b78-3b74-9763-518c5160eaef", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI/DS 579", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a51faa36-2b78-3b74-9763-518c5160eaef", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI/DS 579", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a51faa36-2b78-3b74-9763-518c5160eaef", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of J. Michael Collins: Students learn effective memo writing, but find lectures occasionally boring and the final exam format frustrating due to time pressure. ```json { "citations": [ { "instructor_name": "J. Michael Collins", "review_date": "2014-12-15 10:36:01 +0000 UTC", "review_id": "69763bc67b90b60967a4c0e6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1288719", "source_review_id": "UmF0aW5nLTI0MDgyNzU2", "source_url": "https://www.ratemyprofessors.com/professor/1288719", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Sophomore standing", "course": null, "evidence": "Sophomore standing", "id": "n0", "kind": "condition" } ] ``` #### notes * Sophomore standing is a program standing requirement. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_1e96c5684ef2f15aa8d6b8dd", "source": "madgrades", "source_instructor_id": "5351853", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HYO JEONG KANG", "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": 3.541, "graded": 233, "counts": [ 107, 73, 31, 15, 5, 1, 1 ], "sections": 9 }, "instructor_url": "/instructors/HYO_JEONG_KANG" }, { "instructor_uid": "instructor_a88284af99e9e64293c99780", "source": "madgrades", "source_instructor_id": "1653746", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KEVIN PONTO", "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": 3.739, "graded": 723, "counts": [ 521, 98, 71, 10, 18, 2, 3 ], "sections": 76 }, "instructor_url": "/instructors/KEVIN_PONTO--instructor_a88284af99e9e64293c99780" }, { "instructor_uid": "instructor_65e3c68ff7382d5a3dbcf15e", "source": "madgrades", "source_instructor_id": "3056874", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROSS TREDINNICK", "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": 3.709, "graded": 43, "counts": [ 32, 5, 4, 0, 0, 2, 0 ], "sections": 1 }, "instructor_url": "/instructors/ROSS_TREDINNICK--instructor_65e3c68ff7382d5a3dbcf15e" }, { "instructor_uid": "instructor_6b49bb482126150606cf4ea9", "source": "madgrades", "source_instructor_id": "6365758", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MELODY PAK", "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": 3.772, "graded": 723, "counts": [ 547, 89, 58, 9, 15, 1, 4 ], "sections": 7 }, "instructor_url": "/instructors/MELODY_PAK--instructor_6b49bb482126150606cf4ea9" }, { "instructor_uid": "instructor_998af11908fa5dd8deefc6fe", "source": "madgrades", "source_instructor_id": "6551312", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BONBON YANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.688, "graded": 597, "counts": [ 416, 85, 62, 5, 19, 4, 6 ], "sections": 6 }, "instructor_url": "/instructors/BONBON_YANG--instructor_998af11908fa5dd8deefc6fe" }, { "instructor_uid": "instructor_a725da6f49feb4b83ab25f5d", "source": "madgrades", "source_instructor_id": "6646131", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BRIAN FAGGIN BATISTA", "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": 3.705, "graded": 307, "counts": [ 212, 53, 25, 4, 8, 3, 2 ], "sections": 4 }, "instructor_url": "/instructors/BRIAN_FAGGIN_BATISTA--instructor_a725da6f49feb4b83ab25f5d" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/DS 579", "course_uid": "course_c9d3d50080500b102189e67a", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "HYO JEONG KANG", "Kevin Ponto" ], "a": 23, "ab": 4, "b": 2, "bc": 0, "c": 0, "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": 29, "source_aliases": [ "COMPSCI/DS 579" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/DS 579", "course_uid": "course_c9d3d50080500b102189e67a", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "HYO JEONG KANG", "Kevin Ponto" ], "a": 16, "ab": 8, "b": 4, "bc": 1, "c": 0, "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": 29, "source_aliases": [ "COMPSCI/DS 579" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/DS 579", "course_uid": "course_c9d3d50080500b102189e67a", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "ROSS TREDINNICK" ], "a": 32, "ab": 5, "b": 4, "bc": 0, "c": 0, "d": 2, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "COMPSCI/DS 579" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/DS 579", "course_uid": "course_c9d3d50080500b102189e67a", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Kevin Ponto" ], "a": 70, "ab": 10, "b": 8, "bc": 1, "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": 91, "source_aliases": [ "COMPSCI/DS 579" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/DS 579", "course_uid": "course_c9d3d50080500b102189e67a", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Kevin Ponto", "Melody Pak" ], "a": 72, "ab": 13, "b": 8, "bc": 1, "c": 2, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 97, "source_aliases": [ "COMPSCI/DS 579" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/DS 579", "course_uid": "course_c9d3d50080500b102189e67a", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Kevin Ponto", "Melody Pak" ], "a": 67, "ab": 12, "b": 12, "bc": 1, "c": 3, "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": 96, "source_aliases": [ "COMPSCI/DS 579" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/DS 579", "course_uid": "course_c9d3d50080500b102189e67a", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Kevin Ponto", "Melody Pak" ], "a": 72, "ab": 10, "b": 13, "bc": 2, "c": 0, "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": 97, "source_aliases": [ "COMPSCI/DS 579" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/DS 579", "course_uid": "course_c9d3d50080500b102189e67a", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Kevin Ponto" ], "a": 73, "ab": 10, "b": 10, "bc": 1, "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": 95, "source_aliases": [ "COMPSCI/DS 579" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/DS 579", "course_uid": "course_c9d3d50080500b102189e67a", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "BONBON YANG", "BRIAN FAGGIN BATISTA", "Kevin Ponto" ], "a": 53, "ab": 21, "b": 8, "bc": 1, "c": 7, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 92, "source_aliases": [ "COMPSCI/DS 579" ] } ] ``` ### statistics #### gpa 3.736 #### graded 668 #### counts * 478 * 93 * 69 * 8 * 14 * 3 * 3 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_c9d3d50080500b102189e67a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_c9d3d50080500b102189e67a-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_c9d3d50080500b102189e67a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_c9d3d50080500b102189e67a-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_c9d3d50080500b102189e67a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_c9d3d50080500b102189e67a-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_c9d3d50080500b102189e67a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_c9d3d50080500b102189e67a-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7357784431137726 #### count 668 #### university ##### size 4118 ##### gpa Percentile 49 ##### count Percentile 90 ##### median Count 118 ##### 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 | 9 | false | | 2.8–3.2 | 247 | false | | 3.2–3.6 | 1090 | false | | 3.6–4.0 | 2772 | true | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 96, "gpaPercentile": 59, "countPercentile": 71, "medianCount": 240, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 32, "current": false }, { "range": "3.6–4.0", "count": 51, "current": true } ] } }, { "subject": "DS", "comparison": { "size": 48, "gpaPercentile": 40, "countPercentile": 100, "medianCount": 107.5, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 36, "current": true } ] } } ] ``` ### terms #### 1172 ##### term 1172 ##### gpa 3.8620689655172415 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | DS | | #### 1192 ##### term 1192 ##### gpa 3.6724137931034484 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | DS | | #### 1204 ##### term 1204 ##### gpa 3.7093023255813953 ##### count 43 ##### university ###### size 1012 ###### gpa Percentile 46 ###### count Percentile 27 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 63, "countPercentile": 10, "medianCount": 90.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 19, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } }, { "subject": "DS", "comparison": { "size": 10, "gpaPercentile": 33, "countPercentile": 78, "medianCount": 38, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.7747252747252746 ##### count 91 ##### university ###### size 1111 ###### gpa Percentile 66 ###### count Percentile 61 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 78, "countPercentile": 44, "medianCount": 96, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } }, { "subject": "DS", "comparison": { "size": 12, "gpaPercentile": 55, "countPercentile": 100, "medianCount": 39.5, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.7916666666666665 ##### count 96 ##### university ###### size 1171 ###### gpa Percentile 69 ###### count Percentile 67 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 45, "gpaPercentile": 77, "countPercentile": 48, "medianCount": 96, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } }, { "subject": "DS", "comparison": null } ] ``` #### 1234 ##### term 1234 ##### gpa 3.6927083333333335 ##### count 96 ##### university ###### size 1188 ###### gpa Percentile 55 ###### count Percentile 67 ###### 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 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 76, "countPercentile": 47, "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": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } }, { "subject": "DS", "comparison": { "size": 11, "gpaPercentile": 30, "countPercentile": 100, "medianCount": 31, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.783505154639175 ##### count 97 ##### university ###### size 1241 ###### gpa Percentile 66 ###### count Percentile 70 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 76, "countPercentile": 42, "medianCount": 116, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 18, "current": true } ] } }, { "subject": "DS", "comparison": { "size": 14, "gpaPercentile": 31, "countPercentile": 100, "medianCount": 33, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 0, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.805263157894737 ##### count 95 ##### university ###### size 1289 ###### gpa Percentile 67 ###### count Percentile 68 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 82, "countPercentile": 43, "medianCount": 105, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 24, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } }, { "subject": "DS", "comparison": { "size": 18, "gpaPercentile": 71, "countPercentile": 100, "medianCount": 34.5, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.5543478260869565 ##### count 92 ##### university ###### size 1283 ###### gpa Percentile 34 ###### count Percentile 65 ###### 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": 57, "countPercentile": 45, "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 } ] } }, { "subject": "DS", "comparison": { "size": 14, "gpaPercentile": 8, "countPercentile": 92, "medianCount": 36, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 2, "current": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4118 ###### gpa 3.683780536587793 ###### top Share 83.34410108992769 ###### count 118 ##### COMPSCI ###### size 96 ###### gpa 3.586381328055135 ###### top Share 77.90790016679755 ###### count 240 ##### DS ###### size 48 ###### gpa 3.7152611427499185 ###### top Share 85.77380551694479 ###### count 107.5 #### terms ##### 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 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3453717241366854 ###### top Share 64.2917310505246 ###### count 95.5 ###### DS ###### size 13 ###### gpa 3.648509685550376 ###### top Share 81.82278724694115 ###### count 37 ##### 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 ###### DS ###### size 10 ###### gpa 3.7806120054487833 ###### top Share 93.04736244958227 ###### count 38 ##### 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 ###### DS ###### size 12 ###### gpa 3.784992260200742 ###### top Share 90.38777055679854 ###### count 39.5 ##### 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 ##### 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 ###### DS ###### size 11 ###### gpa 3.636396435482837 ###### top Share 80.89050297516486 ###### count 31 ##### 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 ###### DS ###### size 14 ###### gpa 3.8266959181653313 ###### top Share 91.86539067663273 ###### count 33 ##### 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 ###### DS ###### size 18 ###### gpa 3.6871034627572357 ###### top Share 84.30262127212505 ###### count 34.5 ##### 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 ###### DS ###### size 14 ###### gpa 3.7654672426537994 ###### top Share 89.6260971129426 ###### count 36 ## instructor Trends ```json [ { "uid": "instructor_a88284af99e9e64293c99780", "name": "KEVIN PONTO", "count": 625, "terms": [ { "term": "1172", "count": 29, "sections": 1, "gpa": 3.8620689655172415 }, { "term": "1192", "count": 29, "sections": 1, "gpa": 3.6724137931034484 }, { "term": "1212", "count": 91, "sections": 1, "gpa": 3.7747252747252746 }, { "term": "1224", "count": 96, "sections": 1, "gpa": 3.7916666666666665 }, { "term": "1234", "count": 96, "sections": 1, "gpa": 3.6927083333333335 }, { "term": "1244", "count": 97, "sections": 1, "gpa": 3.783505154639175 }, { "term": "1254", "count": 95, "sections": 1, "gpa": 3.805263157894737 }, { "term": "1264", "count": 92, "sections": 1, "gpa": 3.5543478260869565 } ] }, { "uid": "instructor_6b49bb482126150606cf4ea9", "name": "MELODY PAK", "count": 289, "terms": [ { "term": "1224", "count": 96, "sections": 1, "gpa": 3.7916666666666665 }, { "term": "1234", "count": 96, "sections": 1, "gpa": 3.6927083333333335 }, { "term": "1244", "count": 97, "sections": 1, "gpa": 3.783505154639175 } ] }, { "uid": "instructor_998af11908fa5dd8deefc6fe", "name": "BONBON YANG", "count": 92, "terms": [ { "term": "1264", "count": 92, "sections": 1, "gpa": 3.5543478260869565 } ] }, { "uid": "instructor_a725da6f49feb4b83ab25f5d", "name": "BRIAN FAGGIN BATISTA", "count": 92, "terms": [ { "term": "1264", "count": 92, "sections": 1, "gpa": 3.5543478260869565 } ] }, { "uid": "instructor_1e96c5684ef2f15aa8d6b8dd", "name": "HYO JEONG KANG", "count": 58, "terms": [ { "term": "1172", "count": 29, "sections": 1, "gpa": 3.8620689655172415 }, { "term": "1192", "count": 29, "sections": 1, "gpa": 3.6724137931034484 } ] }, { "uid": "instructor_65e3c68ff7382d5a3dbcf15e", "name": "ROSS TREDINNICK", "count": 43, "terms": [ { "term": "1204", "count": 43, "sections": 1, "gpa": 3.7093023255813953 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.7076793743173337 ### grades | grade | percentage | | ----- | ------------------- | | A | 69.32438952737053 | | AB | 14.811918252944206 | | B | 10.562636163271712 | | BC | 1.251978050262674 | | C | 3.243733415238321 | | D | 0.3233449909980754 | | F | 0.48199959991446445 | ### source Terms * 1264 * 1254 * 1244 * 1234 * 1224 ### source Count 476 ### same Season false ### historical Range * 3.5543478260869557 * 3.8052631578947365