# COMPSCI 900: Advanced Seminar in Computer Science | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_900) ## 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 8c1bb7b06fa36a7f88d78b9af0526dbb0aee8665143ef4e9ec5afc5b72e6afc3 ### course id COMPSCI 900 ### course uid course\_779b02f7ffacb19d0c9fbcb6 ### catalog version id 0b0ed02649a832738a7e1cd0586e3ecdb0e5accff92ce1694cc353970855f4f8 ### course number 900 ### subjects * COMPSCI ### title ADVANCED SEMINAR IN COMPUTER SCIENCE ### description Seminar on recent research on various aspects of computer science. ### requirements text Consent of instructor ### credits min 0 ### credits max 1 ### credit offering ids * 1272:266:023137 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 6f55c6f2973560726a1307316bf0be2d5daa65945a929460659ef8fa4d51740e ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary COMPSCI 900 is an advanced seminar covering recent research across various aspects of computer science. ### llm topics * Recent research in computer science ### llm skills None recorded. ### llm assumed background None recorded. ### llm search phrases * computer science seminar * advanced research topics * COMPSCI 900 syllabus ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash e235264929af1f58677bfb4bd59c890bfd5ed94006476fb8b6e62481a6453fa5 #### course id COMPSCI 900 #### current instructors ```json [ { "instructor_uid": "instructor_62fbf397fa1d95229b4a582b", "message": "No course-specific reviews available", "name": "Andrea Arpaci-Dusseau", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2071686", "summary": [ { "citations": [ { "course_id": "COMPSCI 900", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "49b3f94c-0e2b-39f5-9187-490480dd688a", "source_record": { "entity_id": "49b3f94c-0e2b-39f5-9187-490480dd688a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 4.00 GPA, 100.0% A/AB (n=38 letter grades)." } ] }, { "instructor_uid": "instructor_e0b82f2d934a901e74320b01", "message": "No course-specific reviews available", "name": "Rahul Chatterjee", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2533241", "summary": [ { "citations": [ { "course_id": "COMPSCI 900", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "49b3f94c-0e2b-39f5-9187-490480dd688a", "source_record": { "entity_id": "49b3f94c-0e2b-39f5-9187-490480dd688a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2026: 4.00 GPA, 100.0% A/AB (n=31 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_570635b99c1c1cbcfe9e05e1", "message": "No course-specific reviews available", "name": "Swamit Tannu", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2833415", "summary": [ { "citations": [ { "course_id": "COMPSCI 900", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "49b3f94c-0e2b-39f5-9187-490480dd688a", "source_record": { "entity_id": "49b3f94c-0e2b-39f5-9187-490480dd688a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2026: 4.00 GPA, 100.0% A/AB (n=31 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=22 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=77 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=48 letter grades). ```json { "citations": [ { "course_id": "COMPSCI 900", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "49b3f94c-0e2b-39f5-9187-490480dd688a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI 900", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "49b3f94c-0e2b-39f5-9187-490480dd688a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI 900", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "49b3f94c-0e2b-39f5-9187-490480dd688a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ANDREA ARPACI-DUSSEAU is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 900", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "49b3f94c-0e2b-39f5-9187-490480dd688a", "source_record": { "entity_id": "49b3f94c-0e2b-39f5-9187-490480dd688a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` RAHUL CHATTERJEE is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 900", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "49b3f94c-0e2b-39f5-9187-490480dd688a", "source_record": { "entity_id": "49b3f94c-0e2b-39f5-9187-490480dd688a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` SWAMIT TANNU is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI 900", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "49b3f94c-0e2b-39f5-9187-490480dd688a", "source_record": { "entity_id": "49b3f94c-0e2b-39f5-9187-490480dd688a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Consent of instructor", "course": null, "evidence": "Consent of instructor", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_62fbf397fa1d95229b4a582b", "source": "enrollment", "source_instructor_id": "acarpaciduss", "identity_basis": "netid", "identity_status": "source_identified", "name": "Andrea Arpaci-Dusseau", "email": "DUSSEAU@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": 13, "quality": 3.92, "difficulty": 3.92, "quality_count": 13, "difficulty_count": 13, "profile_id": "rmp:2071686", "source_url": "https://www.ratemyprofessors.com/professor/2071686", "match_basis": "exact_name", "observed_at": "2026-09-07 16:55:43.209143+00:00", "courses": { "course_79e5479d9eb1286e8642b399": { "review_count": 13, "quality": 3.92, "difficulty": 3.92, "quality_count": 13, "difficulty_count": 13 } }, "bayesian_quality": 3.762233808210058, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/ANDREA_ARPACI-DUSSEAU" }, { "instructor_uid": "instructor_e0b82f2d934a901e74320b01", "source": "enrollment", "source_instructor_id": "rchatterjee4", "identity_basis": "netid", "identity_status": "source_identified", "name": "Rahul Chatterjee", "email": "RAHUL.CHATTERJEE@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": 10, "quality": 3, "difficulty": 2.8, "quality_count": 10, "difficulty_count": 10, "profile_id": "rmp:2533241", "source_url": "https://www.ratemyprofessors.com/professor/2533241", "match_basis": "exact_name", "observed_at": "2026-09-07 16:10:45.389674+00:00", "courses": { "course_a76e77747c5b78e3b42f681c": { "review_count": 9, "quality": 3.22, "difficulty": 3, "quality_count": 9, "difficulty_count": 9 } }, "bayesian_quality": 3.439790522364397, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/RAHUL_CHATTERJEE" }, { "instructor_uid": "instructor_570635b99c1c1cbcfe9e05e1", "source": "enrollment", "source_instructor_id": "stannu", "identity_basis": "netid", "identity_status": "source_identified", "name": "Swamit Tannu", "email": "SWAMIT@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": 18, "quality": 2.33, "difficulty": 3.78, "quality_count": 18, "difficulty_count": 18, "profile_id": "rmp:2833415", "source_url": "https://www.ratemyprofessors.com/professor/2833415", "match_basis": "exact_name", "observed_at": "2026-09-07 16:04:04.812539+00:00", "courses": { "course_87400c0728797946c5cef14c": { "review_count": 4, "quality": 4.75, "difficulty": 3.25, "quality_count": 4, "difficulty_count": 4 }, "course_45a9d9a05cba4d5b592ac7a3": { "review_count": 14, "quality": 1.64, "difficulty": 3.93, "quality_count": 14, "difficulty_count": 14 } }, "bayesian_quality": 3.0298346229192608, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/SWAMIT_TANNU" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:266:023137", "course_id": "COMPSCI 900", "course_uid": "course_779b02f7ffacb19d0c9fbcb6", "term_id": "1272", "source_course_id": "023137", "source_subject_id": "266", "title": "Advanced Seminar in Computer Science", "credits_min": 0, "credits_max": 1, "typically_offered": "Occasionally" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:31388", "term_id": "1272", "source_section_id": "31388", "identity_basis": "class_number", "section_number": "001", "section_type": "SEM", "instruction_mode": "Classroom Instruction", "capacity": 50, "enrolled": 4, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:31635", "term_id": "1272", "source_section_id": "31635", "identity_basis": "class_number", "section_number": "002", "section_type": "SEM", "instruction_mode": "Classroom Instruction", "capacity": 75, "enrolled": 41, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:38013", "term_id": "1272", "source_section_id": "38013", "identity_basis": "class_number", "section_number": "003", "section_type": "SEM", "instruction_mode": "Classroom Instruction", "capacity": 75, "enrolled": 11, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_3ae7a2c3592f5f819fbb54b8", "source": "madgrades", "source_instructor_id": "4632213", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHRISTOPHER RE", "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": 3.67, "graded": 233, "counts": [ 165, 23, 28, 5, 8, 2, 2 ], "sections": 24 }, "instructor_url": "/instructors/CHRISTOPHER_RE" }, { "instructor_uid": "instructor_22409751a06ad12df2ecdf6e", "source": "madgrades", "source_instructor_id": "718817", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JEFFREY NAUGHTON", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 2, "quality": 5, "difficulty": 1.5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2016841", "source_url": "https://www.ratemyprofessors.com/professor/2016841", "match_basis": "exact_name", "observed_at": "2026-09-07 16:33:39.069605+00:00", "courses": { "course_d68ae7a2fa68407d62f2519f": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.781532530496905, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.579, "graded": 638, "counts": [ 356, 123, 108, 24, 21, 3, 3 ], "sections": 95 }, "instructor_url": "/instructors/JEFFREY_NAUGHTON" }, { "instructor_uid": "instructor_e0fd709a15051d02c7d0ac34", "source": "madgrades", "source_instructor_id": "1256320", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JIGNESH PATEL", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 11, "quality": 2.82, "difficulty": 4.09, "quality_count": 11, "difficulty_count": 11, "profile_id": "rmp:1724000", "source_url": "https://www.ratemyprofessors.com/professor/1724000", "match_basis": "exact_name", "observed_at": "2026-09-07 16:32:28.933718+00:00", "courses": { "course_d68ae7a2fa68407d62f2519f": { "review_count": 9, "quality": 3.11, "difficulty": 4.11, "quality_count": 9, 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"incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "COMPSCI 900" ] } ] ``` ### statistics #### gpa 3.989 #### graded 1111 #### counts * 1108 * 0 * 0 * 0 * 0 * 0 * 3 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_779b02f7ffacb19d0c9fbcb6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_779b02f7ffacb19d0c9fbcb6-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_779b02f7ffacb19d0c9fbcb6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_779b02f7ffacb19d0c9fbcb6-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_779b02f7ffacb19d0c9fbcb6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_779b02f7ffacb19d0c9fbcb6-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_779b02f7ffacb19d0c9fbcb6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_779b02f7ffacb19d0c9fbcb6-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.9891989198919893 #### count 1111 #### university ##### size 5648 ##### gpa Percentile 94 ##### count Percentile 85 ##### median Count 219 ##### 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 | 9 | false | | 2.8–3.2 | 340 | false | | 3.2–3.6 | 1500 | false | | 3.6–4.0 | 3798 | true | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 111, "gpaPercentile": 100, "countPercentile": 69, "medianCount": 595, "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": false }, { "range": "3.6–4.0", "count": 64, "current": true } ] } } ] ``` ### terms #### 1104 ##### term 1104 ##### gpa 4 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1112 ##### term 1112 ##### gpa 4 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1114 ##### term 1114 ##### gpa 4 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1122 ##### term 1122 ##### gpa 4 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1124 ##### term 1124 ##### gpa 4 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1132 ##### term 1132 ##### gpa 4 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1134 ##### term 1134 ##### gpa 4 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1144 ##### term 1144 ##### gpa 4 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1152 ##### term 1152 ##### gpa 4 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1154 ##### term 1154 ##### gpa 4 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1162 ##### term 1162 ##### gpa 4 ##### count 34 ##### university ###### size 954 ###### gpa Percentile 97 ###### count Percentile 8 ###### 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 | false | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 35, "gpaPercentile": 97, "countPercentile": 0, "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": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 4 ##### count 41 ##### university ###### size 965 ###### gpa Percentile 95 ###### count Percentile 23 ###### 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 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 32, "gpaPercentile": 100, "countPercentile": 16, "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": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 4 ##### count 58 ##### university ###### size 991 ###### gpa Percentile 97 ###### count Percentile 42 ###### 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 | false | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 97, "countPercentile": 30, "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": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 4 ##### count 41 ##### university ###### size 955 ###### gpa Percentile 96 ###### count Percentile 21 ###### 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 | false | | 3.6–4.0 | 369 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 30, "gpaPercentile": 97, "countPercentile": 0, "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": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 4 ##### count 56 ##### university ###### size 1025 ###### gpa Percentile 97 ###### count Percentile 38 ###### 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 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 36, "gpaPercentile": 100, "countPercentile": 29, "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": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 4 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1192 ##### term 1192 ##### gpa 4 ##### count 47 ##### university ###### size 1077 ###### gpa Percentile 97 ###### count Percentile 31 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 38, "gpaPercentile": 97, "countPercentile": 14, "medianCount": 95.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 15, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 4 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1202 ##### term 1202 ##### gpa 4 ##### count 40 ##### university ###### size 1102 ###### gpa Percentile 96 ###### count Percentile 21 ###### 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 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 41, "gpaPercentile": 98, "countPercentile": 13, "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": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 4 ##### count 35 ##### university ###### size 1012 ###### gpa Percentile 93 ###### count Percentile 12 ###### 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": 95, "countPercentile": 5, "medianCount": 90.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 19, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 4 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1222 ##### term 1222 ##### gpa 3.9166666666666665 ##### count 48 ##### university ###### size 1157 ###### gpa Percentile 87 ###### count Percentile 34 ###### 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 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 96, "countPercentile": 16, "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": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 4 ##### count 59 ##### university ###### size 1171 ###### gpa Percentile 94 ###### count Percentile 45 ###### 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": 100, "countPercentile": 25, "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 } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.95 ##### count 80 ##### university ###### size 1216 ###### gpa Percentile 89 ###### count Percentile 57 ###### 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 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 50, "gpaPercentile": 92, "countPercentile": 47, "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": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 4 ##### count 33 ##### university ###### size 1188 ###### gpa Percentile 95 ###### count Percentile 7 ###### 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": 98, "countPercentile": 9, "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 } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 4 ##### count 81 ##### university ###### size 1295 ###### gpa Percentile 96 ###### count Percentile 57 ###### 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 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 96, "countPercentile": 41, "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": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.857142857142857 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1252 ##### term 1252 ##### gpa 4 ##### count 68 ##### university ###### size 1333 ###### gpa Percentile 96 ###### count Percentile 48 ###### 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 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 54, "gpaPercentile": 96, "countPercentile": 38, "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": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 4 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | #### 1262 ##### term 1262 ##### gpa 4 ##### count 77 ##### university ###### size 1320 ###### gpa Percentile 95 ###### count Percentile 53 ###### 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": 100, "countPercentile": 40, "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 4 ##### count 48 ##### university ###### size 1283 ###### gpa Percentile 95 ###### count Percentile 33 ###### 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 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 48, "gpaPercentile": 98, "countPercentile": 15, "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": false }, { "range": "3.6–4.0", "count": 19, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5648 ###### gpa 3.680155406999219 ###### top Share 83.04306391579365 ###### count 219 ##### COMPSCI ###### size 111 ###### gpa 3.58778818881747 ###### top Share 78.62111765695396 ###### count 595 #### terms ##### 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 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### COMPSCI ###### size 26 ###### gpa 3.263233863996996 ###### top Share 58.711877593449 ###### count 70.5 ##### 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 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3453717241366854 ###### top Share 64.2917310505246 ###### count 95.5 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3433846242383978 ###### top Share 63.409438479169644 ###### count 92 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### COMPSCI ###### size 41 ###### gpa 3.3598624373657553 ###### top Share 65.26544910639922 ###### count 91 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### COMPSCI ###### size 42 ###### gpa 3.6240893265324647 ###### top Share 79.98991493017058 ###### count 90.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### COMPSCI ###### size 42 ###### gpa 3.450396020252364 ###### top Share 69.90950224603134 ###### count 96 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### COMPSCI ###### size 46 ###### gpa 3.4266761668874532 ###### top Share 68.93117403010548 ###### count 94.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### COMPSCI ###### size 45 ###### gpa 3.4719336884851772 ###### top Share 70.89188483398956 ###### count 96 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### COMPSCI ###### size 50 ###### gpa 3.522872390836507 ###### top Share 74.11555010870671 ###### count 82.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### COMPSCI ###### size 46 ###### gpa 3.457340982461054 ###### top Share 70.00975704504911 ###### count 111 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### COMPSCI ###### size 52 ###### gpa 3.5206188715369935 ###### top Share 74.2043106737207 ###### count 99 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### COMPSCI ###### size 46 ###### gpa 3.477413782571094 ###### top Share 70.8725394264854 ###### count 116 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### COMPSCI ###### size 54 ###### gpa 3.5244021201456657 ###### top Share 75.07938169795783 ###### count 101 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### COMPSCI ###### size 52 ###### gpa 3.482652727664103 ###### top Share 71.33786483648515 ###### count 105 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### COMPSCI ###### size 53 ###### gpa 3.533845597774486 ###### top Share 75.31824598445624 ###### count 82 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### COMPSCI ###### size 48 ###### gpa 3.5022746140005943 ###### top Share 73.13318776233326 ###### count 105.5 ## instructor Trends ```json [ { "uid": "instructor_edbef4ea9b58524915392e33", "name": "SUMAN BANERJEE", "count": 558, "terms": [ { "term": "1182", "count": 56, "sections": 1, "gpa": 4 }, { "term": "1184", "count": 28, "sections": 1, "gpa": 4 }, { "term": "1192", "count": 47, "sections": 1, "gpa": 4 }, { "term": "1222", "count": 48, "sections": 1, "gpa": 3.9166666666666665 }, { "term": "1224", "count": 59, "sections": 1, "gpa": 4 }, { "term": "1232", "count": 80, "sections": 1, "gpa": 3.95 }, { "term": "1234", "count": 33, "sections": 1, "gpa": 4 }, { "term": "1242", "count": 36, "sections": 1, "gpa": 4 }, { "term": "1244", "count": 28, "sections": 1, "gpa": 3.857142857142857 }, { "term": "1252", "count": 34, "sections": 1, "gpa": 4 }, { "term": "1254", "count": 22, "sections": 1, "gpa": 4 }, { "term": "1262", "count": 39, "sections": 1, "gpa": 4 }, { "term": "1264", "count": 48, "sections": 2, "gpa": 4 } ] }, { "uid": "instructor_4774e825ddfeb1206af6b54a", "name": "STEPHEN WRIGHT", "count": 130, "terms": [ { "term": "1194", "count": 29, "sections": 1, "gpa": 4 }, { "term": "1202", "count": 40, "sections": 1, "gpa": 4 }, { "term": "1204", "count": 35, "sections": 1, "gpa": 4 }, { "term": "1212", "count": 26, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_485182ace364dcdf4abb503d", "name": "KARTHIKEYAN SANKARALINGAM", "count": 99, "terms": [ { "term": "1172", "count": 58, "sections": 1, "gpa": 4 }, { "term": "1174", "count": 41, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_491da83116703d1b3c269e13", "name": "EFTYCHIOS SIFAKIS", "count": 79, "terms": [ { "term": "1242", "count": 45, "sections": 1, "gpa": 4 }, { "term": "1252", "count": 34, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_22409751a06ad12df2ecdf6e", "name": "JEFFREY NAUGHTON", "count": 73, "terms": [ { "term": "1112", "count": 11, "sections": 1, "gpa": 4 }, { "term": "1114", "count": 10, "sections": 1, "gpa": 4 }, { "term": "1122", "count": 10, "sections": 1, "gpa": 4 }, { "term": "1124", "count": 8, "sections": 1, "gpa": 4 }, { "term": "1162", "count": 34, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_e0fd709a15051d02c7d0ac34", "name": "JIGNESH PATEL", "count": 64, "terms": [ { "term": "1132", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1134", "count": 15, "sections": 1, "gpa": 4 }, { "term": "1144", "count": 9, "sections": 1, "gpa": 4 }, { "term": "1152", "count": 17, "sections": 1, "gpa": 4 }, { "term": "1154", "count": 17, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_8a8d069a7cfff58ad5a275b4", "name": "AN H DOAN", "count": 41, "terms": [ { "term": "1164", "count": 41, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_eeb926104341e343bfdbbb80", "name": "ANDREA ARPACI-DUSSEAU", "count": 38, "terms": [ { "term": "1262", "count": 38, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_1098858b2517944160428f41", "name": "RAHUL CHATTERJEE", "count": 31, "terms": [ { "term": "1264", "count": 31, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_84a81b0f2133e8e40943a1d7", "name": "SWAMIT TANNU", "count": 31, "terms": [ { "term": "1264", "count": 31, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_3ae7a2c3592f5f819fbb54b8", "name": "CHRISTOPHER RE", "count": 19, "terms": [ { "term": "1104", "count": 19, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_fdd4be08d9eabb98784c0024", "name": "MICHAEL SWIFT", "count": 10, "terms": [ { "term": "1154", "count": 10, "sections": 1, "gpa": 4 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.89 #### upper 4 #### coverage 80 #### terms 4 ### gpa 3.982230683801365 ### grades | grade | percentage | | ----- | ------------------- | | A | 99.55576709503411 | | AB | 0 | | B | 0 | | BC | 0 | | C | 0 | | D | 0 | | F | 0.44423290496588924 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 354 ### same Season true ### historical Range * 3.9166666666666665 * 4 ### backtest #### terms 4 #### gpa Error 0.04494128274616094 #### mix Error 1.1235320686540218