# POLISCI 400: Topics in Political Science | UW–Madison [View on UW Courses](https://uwcourses.com/courses/POLISCI_400) ## 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 8dd1d0a108482a4e579b1ee6c1db3ee221b4902d141b4e933630d401f77686ba ### course id POLISCI 400 ### course uid course\_72b1ebead6ff5d756edddb78 ### catalog version id 3dcbc735faba24520743840ef8c7a003c18bdb91f127ba4f26d8ae6fd1431888 ### course number 400 ### subjects * POLISCI ### title TOPICS IN POLITICAL SCIENCE ### description An umbrella course for variable credit topic courses, such as summer forum, intensive summer courses, half-semester courses, etc. ### requirements text Sophomore standing ### credits min 1 ### credits max 4 ### credit offering ids * 1272:778:015917 * 1272:778:015917.69 * 1272:778:015917.73 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 85754794fb30a3eb9c27cbea80efc31c3683e3d7aec6576b7cc5d5493c1ad53a ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary POLISCI 400 is an umbrella course for variable credit topic courses, including summer forums and intensive sessions. ### llm topics None recorded. ### llm skills None recorded. ### llm assumed background None recorded. ### llm search phrases * POLISCI 400 topics * variable credit political science * summer forum political science * intensive summer courses POLISCI ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 496931cf4cf5bbf2ebde8e0f40936e61df257fd9a9c37d339e5f7baa3ea045c3 #### course id POLISCI 400 #### current instructors ```json [ { "instructor_uid": "instructor_b7051e9ada94cbc6bd97484e", "message": "No course-specific reviews available", "name": "Michelle Schwarze", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:1853160", "summary": [ { "citations": [ { "course_id": "POLISCI 400", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "source_record": { "entity_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" } ], "text": "Recent recorded grades — Fall 2014: 3.50 GPA, 71.4% A/AB (n=7 letter grades)." } ] } ] ``` #### difficulty workload Historical coursework was manageable with attendance, featuring optional reading not tested on exams. ```json { "citations": [ { "instructor_name": "Andrew Trexler", "review_date": "2025-12-09 19:14:09 +0000 UTC", "review_id": "34a9377440139fff44322d70", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3129270", "source_review_id": "UmF0aW5nLTQyMTI0MTAw", "source_url": "https://www.ratemyprofessors.com/professor/3129270", "type": "review" } ] } ``` #### errors None recorded. #### historical context Michelle Schwarze is the current instructor, but no reviews exist for her teaching of this course. Historical reviews highlight Katherine Cramer and Andrew Trexler as engaging instructors who foster discussion and care deeply about student success. ```json { "citations": [ { "instructor_name": "Katherine Cramer", "review_date": "2025-04-09 21:49:49 +0000 UTC", "review_id": "15d4cdcd60f624e6f4236b67", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:760730", "source_review_id": "UmF0aW5nLTQwOTA2NTAw", "source_url": "https://www.ratemyprofessors.com/professor/760730", "type": "review" }, { "instructor_name": "Andrew Trexler", "review_date": "2025-12-09 19:14:09 +0000 UTC", "review_id": "34a9377440139fff44322d70", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3129270", "source_review_id": "UmF0aW5nLTQyMTI0MTAw", "source_url": "https://www.ratemyprofessors.com/professor/3129270", "type": "review" }, { "instructor_name": "Katherine Cramer", "review_date": "2025-12-12 02:26:45 +0000 UTC", "review_id": "ec7e1e43c8293b95e597f6b6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:760730", "source_review_id": "UmF0aW5nLTQyMTk2MzY2", "source_url": "https://www.ratemyprofessors.com/professor/760730", "type": "review" }, { "instructor_name": "Katherine Cramer", "review_date": "2025-12-24 21:18:07 +0000 UTC", "review_id": "49a0389de5799ebf7483eef5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:760730", "source_review_id": "UmF0aW5nLTQyMzkzNzk4", "source_url": "https://www.ratemyprofessors.com/professor/760730", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews highlight engaging instruction and discussion-focused formats, though no current reviews exist for Michelle Schwarze. ```json { "citations": [ { "instructor_name": "Katherine Cramer", "review_date": "2025-04-09 21:49:49 +0000 UTC", "review_id": "15d4cdcd60f624e6f4236b67", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:760730", "source_review_id": "UmF0aW5nLTQwOTA2NTAw", "source_url": "https://www.ratemyprofessors.com/professor/760730", "type": "review" }, { "instructor_name": "Andrew Trexler", "review_date": "2025-12-09 19:14:09 +0000 UTC", "review_id": "34a9377440139fff44322d70", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3129270", "source_review_id": "UmF0aW5nLTQyMTI0MTAw", "source_url": "https://www.ratemyprofessors.com/professor/3129270", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.63 GPA, 83.8% A/AB (n=210 letter grades); Fall 2025: 3.72 GPA, 86.6% A/AB (n=164 letter grades); Spring 2026: 3.62 GPA, 80.0% A/AB (n=210 letter grades). ```json { "citations": [ { "course_id": "POLISCI 400", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "POLISCI 400", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "POLISCI 400", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students valued deep material exploration through discussion and praised historical instructors for genuine care and accessibility. ```json { "citations": [ { "instructor_name": "Katherine Cramer", "review_date": "2025-04-09 21:49:49 +0000 UTC", "review_id": "15d4cdcd60f624e6f4236b67", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:760730", "source_review_id": "UmF0aW5nLTQwOTA2NTAw", "source_url": "https://www.ratemyprofessors.com/professor/760730", "type": "review" }, { "instructor_name": "Katherine Cramer", "review_date": "2025-12-12 02:26:45 +0000 UTC", "review_id": "ec7e1e43c8293b95e597f6b6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:760730", "source_review_id": "UmF0aW5nLTQyMTk2MzY2", "source_url": "https://www.ratemyprofessors.com/professor/760730", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ANDREW TREXLER is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "POLISCI 400", "run_id": "20260907T155543-ce3781c4", "section_number": 8, "source_course_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "source_record": { "entity_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` JONATHAN SCHWARTZ is recorded teaching in Fall 2016. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "POLISCI 400", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "source_record": { "entity_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" } ] } ``` KATHERINE CRAMER is recorded teaching in Spring 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "POLISCI 400", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "source_record": { "entity_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ] } ``` MICHELLE SCHWARZE is recorded teaching in Fall 2014, Fall 2015. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "POLISCI 400", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "source_record": { "entity_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "POLISCI 400", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "source_record": { "entity_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" } ] } ``` RICKY CVEYKUS is recorded teaching in Spring 2019. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "POLISCI 400", "run_id": "20260907T155543-ce3781c4", "section_number": 7, "source_course_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "source_record": { "entity_id": "af0aa136-dbb6-3b8d-9650-ea2738e4a9b0", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" } ] } ``` #### 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 None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_b7051e9ada94cbc6bd97484e", "source": "enrollment", "source_instructor_id": "mschwarze", "identity_basis": "netid", "identity_status": "source_identified", "name": "Michelle Schwarze", "email": "MSCHWARZE@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": 39, "quality": 3.15, "difficulty": 3.33, "quality_count": 39, "difficulty_count": 39, "profile_id": "rmp:1853160", "source_url": "https://www.ratemyprofessors.com/professor/1853160", "match_basis": "exact_name", "observed_at": "2026-09-07 16:17:07.660192+00:00", "courses": { "course_cdb76f98405661d42020c591": { "review_count": 3, "quality": 2.67, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 }, "course_f316b1c0bcfe1eba601b7ab6": { "review_count": 25, "quality": 3.48, "difficulty": 2.96, "quality_count": 25, "difficulty_count": 25 }, "course_393f780a276ddf2f521561c0": { "review_count": 1, "quality": 2, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, "course_59020fdafae4af854a2a4b59": { "review_count": 1, "quality": 1, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_f2ce5575104f8bc511fc70a8": { "review_count": 4, "quality": 1.75, "difficulty": 4.5, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.322774841880202, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MICHELLE_SCHWARZE" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:778:015917", "course_id": "POLISCI 400", "course_uid": "course_72b1ebead6ff5d756edddb78", "term_id": "1272", "source_course_id": "015917", "source_subject_id": "778", "title": "Topics in Political Science", "credits_min": 1, "credits_max": 4, "typically_offered": "Fall, Spring, Summer" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:778:015917.69", "course_id": "POLISCI 400", "course_uid": "course_72b1ebead6ff5d756edddb78", "term_id": "1272", "source_course_id": "015917.69", "source_subject_id": "778", "title": "Political Violence", "credits_min": 1, "credits_max": 4, "typically_offered": "Fall, Spring, Summer" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:778:015917.73", "course_id": "POLISCI 400", "course_uid": "course_72b1ebead6ff5d756edddb78", "term_id": "1272", "source_course_id": "015917.73", "source_subject_id": "778", "title": "Revolution, Reform, Resistance", "credits_min": 1, "credits_max": 4, "typically_offered": "Fall, Spring, Summer" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:35323", "term_id": "1272", "source_section_id": "35323", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 70, "enrolled": 27, "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_fb35e3d3e837fe7a2fa368bd", "source": "madgrades", "source_instructor_id": "2601438", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GRAHAM K WILSON", "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": 3.8, "graded": 50, "counts": [ 32, 16, 2, 0, 0, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/GRAHAM_K_WILSON--instructor_fb35e3d3e837fe7a2fa368bd" }, { "instructor_uid": "instructor_fceca0860315ee319dd71dcf", "source": "madgrades", "source_instructor_id": "2600094", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOHN COLEMAN", "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": 84, "quality": 4.56, "difficulty": 2.57, "quality_count": 84, "difficulty_count": 84, "profile_id": "rmp:194372", "source_url": "https://www.ratemyprofessors.com/professor/194372", "match_basis": "exact_name", "observed_at": "2026-09-07 16:31:47.842590+00:00", "courses": { "course_46931ba805a3f9e7507d5db1": { "review_count": 18, "quality": 4.5, "difficulty": 2.67, "quality_count": 18, "difficulty_count": 18 } }, "bayesian_quality": 4.386862650682037, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.832, "graded": 2646, "counts": [ 354, 518, 661, 526, 428, 111, 48 ], "sections": 37 }, "instructor_url": "/instructors/JOHN_COLEMAN--instructor_fceca0860315ee319dd71dcf" }, { "instructor_uid": "instructor_aa95e812f94247f0059102fe", "source": "madgrades", "source_instructor_id": "4125725", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAVID EMANUEL NELSON", "email": null, "first_observed_at": 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"review_count": 25, "quality": 3.48, "difficulty": 2.96, "quality_count": 25, "difficulty_count": 25 }, "course_393f780a276ddf2f521561c0": { "review_count": 1, "quality": 2, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, "course_59020fdafae4af854a2a4b59": { "review_count": 1, "quality": 1, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_f2ce5575104f8bc511fc70a8": { "review_count": 4, "quality": 1.75, "difficulty": 4.5, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.322774841880202, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MICHELLE_SCHWARZE" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 400", "course_uid": "course_72b1ebead6ff5d756edddb78", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "GRAHAM K WILSON" ], "a": 10, "ab": 1, "b": 0, "bc": 0, "c": 0, 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15:55:43.033547+00:00", "course_id": "POLISCI 400", "course_uid": "course_72b1ebead6ff5d756edddb78", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Andrew Trexler", "CHARLES HOSLET", "Hanbi Park", "JOEL CLARK" ], "a": 105, "ab": 37, "b": 15, "bc": 4, "c": 3, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 4, "not_reported": 1, "other": 0, "total": 171, "source_aliases": [ "POLISCI 400" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 400", "course_uid": "course_72b1ebead6ff5d756edddb78", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Ana Oaxaca Carrasco", "Andres Uribe", "Jeffrey Church", "Jessica Weeks", "Matthew Pietryka" ], "a": 124, "ab": 44, "b": 23, "bc": 12, "c": 6, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 1, "not_reported": 1, "other": 0, "total": 213, "source_aliases": [ "POLISCI 400" ] } ] ``` ### statistics #### gpa 3.763 #### graded 2253 #### counts * 1657 * 364 * 121 * 58 * 30 * 9 * 14 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_72b1ebead6ff5d756edddb78-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_72b1ebead6ff5d756edddb78-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_72b1ebead6ff5d756edddb78-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_72b1ebead6ff5d756edddb78-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_72b1ebead6ff5d756edddb78-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_72b1ebead6ff5d756edddb78-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_72b1ebead6ff5d756edddb78-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_72b1ebead6ff5d756edddb78-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_72b1ebead6ff5d756edddb78-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_72b1ebead6ff5d756edddb78-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7634265423879274 #### count 2253 #### university ##### size 5684 ##### gpa Percentile 54 ##### count Percentile 93 ##### 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 | 348 | false | | 3.2–3.6 | 1531 | false | | 3.6–4.0 | 3795 | true | #### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 137, "gpaPercentile": 78, "countPercentile": 96, "medianCount": 185, "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": 58, "current": false }, { "range": "3.6–4.0", "count": 71, "current": true } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.9545454545454546 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1084 ##### term 1084 ##### gpa 3.9615384615384617 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1094 ##### term 1094 ##### gpa 4 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1104 ##### term 1104 ##### gpa 4 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1114 ##### term 1114 ##### gpa 4 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1124 ##### term 1124 ##### gpa 3.9761904761904763 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1132 ##### term 1132 ##### gpa 3.933333333333333 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1134 ##### term 1134 ##### gpa 3.9696969696969697 ##### count 33 ##### university ###### size 852 ###### gpa Percentile 94 ###### count Percentile 8 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 11, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 112, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.774193548387097 ##### count 31 ##### university ###### size 853 ###### gpa Percentile 81 ###### count Percentile 2 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 59.5, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.712962962962963 ##### count 54 ##### university ###### size 878 ###### gpa Percentile 74 ###### count Percentile 39 ###### 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 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 31, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.828125 ##### count 32 ##### university ###### size 918 ###### gpa Percentile 84 ###### count Percentile 3 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 100, "countPercentile": 8, "medianCount": 72.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 4 ##### count 44 ##### university ###### size 935 ###### gpa Percentile 96 ###### count Percentile 28 ###### median Count 63 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 100, "countPercentile": 8, "medianCount": 57.5, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.9468085106382977 ##### count 47 ##### university ###### size 954 ###### gpa Percentile 93 ###### count Percentile 32 ###### 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": "POLISCI", "comparison": { "size": 13, "gpaPercentile": 100, "countPercentile": 25, "medianCount": 48, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.7708333333333335 ##### count 96 ##### university ###### size 965 ###### gpa Percentile 75 ###### count Percentile 69 ###### 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": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 85, "medianCount": 58, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.738888888888889 ##### count 90 ##### university ###### size 991 ###### gpa Percentile 72 ###### count Percentile 65 ###### 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": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 100, "countPercentile": 77, "medianCount": 57.5, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 4 ##### count 62 ##### university ###### size 955 ###### gpa Percentile 96 ###### count Percentile 44 ###### 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": "POLISCI", "comparison": { "size": 18, "gpaPercentile": 100, "countPercentile": 53, "medianCount": 60, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.9836065573770494 ##### count 61 ##### university ###### size 1025 ###### gpa Percentile 96 ###### count Percentile 43 ###### 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": "POLISCI", "comparison": { "size": 27, "gpaPercentile": 96, "countPercentile": 54, "medianCount": 57, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 18, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.9846153846153847 ##### count 65 ##### university ###### size 1010 ###### gpa Percentile 95 ###### count Percentile 48 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 96, "countPercentile": 56, "medianCount": 51, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 4 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1194 ##### term 1194 ##### gpa 3.6767241379310347 ##### count 116 ##### university ###### size 1040 ###### gpa Percentile 64 ###### count Percentile 75 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 93, "countPercentile": 81, "medianCount": 60, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 4 ##### count 34 ##### university ###### size 1102 ###### gpa Percentile 96 ###### count Percentile 9 ###### 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": "POLISCI", "comparison": { "size": 26, "gpaPercentile": 100, "countPercentile": 4, "medianCount": 62, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.8114754098360657 ##### count 61 ##### university ###### size 1012 ###### gpa Percentile 59 ###### count Percentile 47 ###### 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": "POLISCI", "comparison": { "size": 29, "gpaPercentile": 82, "countPercentile": 54, "medianCount": 59, "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": 17, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.8109756097560976 ##### count 82 ##### university ###### size 1111 ###### gpa Percentile 70 ###### count Percentile 57 ###### 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": "POLISCI", "comparison": { "size": 29, "gpaPercentile": 82, "countPercentile": 54, "medianCount": 73, "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": 14, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.755813953488372 ##### count 86 ##### university ###### size 1157 ###### gpa Percentile 65 ###### count Percentile 59 ###### 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": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 81, "countPercentile": 68, "medianCount": 50.5, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 15, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.6260504201680672 ##### count 119 ##### university ###### size 1171 ###### gpa Percentile 50 ###### count Percentile 76 ###### 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": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 63, "countPercentile": 81, "medianCount": 69, "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": 15, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.7107843137254903 ##### count 204 ##### university ###### size 1216 ###### gpa Percentile 59 ###### count Percentile 87 ###### 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": "POLISCI", "comparison": { "size": 33, "gpaPercentile": 81, "countPercentile": 94, "medianCount": 55, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 15, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.74 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1242 ##### term 1242 ##### gpa 3.6904761904761907 ##### count 126 ##### university ###### size 1295 ###### gpa Percentile 53 ###### count Percentile 76 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 31, "gpaPercentile": 73, "countPercentile": 90, "medianCount": 52, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.791044776119403 ##### count 67 ##### university ###### size 1333 ###### gpa Percentile 65 ###### count Percentile 47 ###### 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": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 77, "countPercentile": 58, "medianCount": 53.5, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.626190476190476 ##### count 210 ##### university ###### size 1289 ###### gpa Percentile 44 ###### count Percentile 89 ###### 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": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 35, "countPercentile": 97, "medianCount": 55.5, "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": 9, "current": false }, { "range": "3.6–4.0", "count": 23, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.722560975609756 ##### count 164 ##### university ###### size 1320 ###### gpa Percentile 53 ###### count Percentile 83 ###### 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": "POLISCI", "comparison": { "size": 33, "gpaPercentile": 72, "countPercentile": 91, "medianCount": 79, "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": 10, "current": false }, { "range": "3.6–4.0", "count": 23, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.623809523809524 ##### count 210 ##### university ###### size 1283 ###### gpa Percentile 41 ###### count Percentile 88 ###### 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": "POLISCI", "comparison": { "size": 30, "gpaPercentile": 31, "countPercentile": 97, "medianCount": 63.5, "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": 7, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5684 ###### gpa 3.6790332900486233 ###### top Share 83.0005954599129 ###### count 219 ##### POLISCI ###### size 137 ###### gpa 3.5721223928108516 ###### top Share 79.19257656580534 ###### count 185 #### terms ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### POLISCI ###### size 14 ###### gpa 3.268596258997659 ###### top Share 60.70808904525222 ###### count 98 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### POLISCI ###### size 16 ###### gpa 3.238531506836362 ###### top Share 55.06088203147391 ###### count 72.5 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### POLISCI ###### size 14 ###### gpa 3.1531610813978714 ###### top Share 49.305472802233474 ###### count 69 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### POLISCI ###### size 12 ###### gpa 3.2185088366768486 ###### top Share 56.22209935190565 ###### count 95 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### POLISCI ###### size 13 ###### gpa 3.1934937099142284 ###### top Share 53.71713794999391 ###### count 93 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### POLISCI ###### size 15 ###### gpa 3.182300079741595 ###### top Share 52.46119703858788 ###### count 70 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### POLISCI ###### size 11 ###### gpa 3.280823164113721 ###### top Share 59.66337782557022 ###### count 112 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### POLISCI ###### size 14 ###### gpa 3.2576110896081407 ###### top Share 56.95368098781108 ###### count 59.5 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### POLISCI ###### size 14 ###### gpa 3.3636801287501603 ###### top Share 66.05950163421888 ###### count 68 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### POLISCI ###### size 14 ###### gpa 3.301197196812184 ###### top Share 61.93891738722217 ###### count 72.5 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### POLISCI ###### size 14 ###### gpa 3.3572994689885887 ###### top Share 65.12888891061475 ###### count 57.5 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### POLISCI ###### size 13 ###### gpa 3.372426234221877 ###### top Share 66.25706452537325 ###### count 48 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### POLISCI ###### size 14 ###### gpa 3.387238014237884 ###### top Share 65.7223661684711 ###### count 58 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### POLISCI ###### size 14 ###### gpa 3.3267512689228935 ###### top Share 63.863048828219576 ###### count 57.5 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### POLISCI ###### size 18 ###### gpa 3.518685834115279 ###### top Share 75.71186270755474 ###### count 60 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### POLISCI ###### size 27 ###### gpa 3.3945516326036986 ###### top Share 67.29292509440347 ###### count 57 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### POLISCI ###### size 28 ###### gpa 3.419036487558007 ###### top Share 69.50826051414016 ###### count 51 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### POLISCI ###### size 24 ###### gpa 3.3877472679471077 ###### top Share 66.73340391838997 ###### count 71.5 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### POLISCI ###### size 28 ###### gpa 3.3622929055465627 ###### top Share 67.77057007459834 ###### count 60 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### POLISCI ###### size 26 ###### gpa 3.4780734884386755 ###### top Share 73.10491162594762 ###### count 62 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### POLISCI ###### size 29 ###### gpa 3.6515292898120917 ###### top Share 84.42435417336284 ###### count 59 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### POLISCI ###### size 29 ###### gpa 3.536672518177847 ###### top Share 76.4438470307079 ###### count 73 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### POLISCI ###### size 32 ###### gpa 3.5006556757964944 ###### top Share 75.79663378946314 ###### count 50.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### POLISCI ###### size 28 ###### gpa 3.532143371297822 ###### top Share 77.90235292035405 ###### count 69 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### POLISCI ###### size 33 ###### gpa 3.5166781206385624 ###### top Share 75.8351096221922 ###### count 55 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### POLISCI ###### size 28 ###### gpa 3.5845277295873372 ###### top Share 78.11327833817083 ###### count 60.5 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### POLISCI ###### size 31 ###### gpa 3.5305358829108964 ###### top Share 77.33733829427872 ###### count 52 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### POLISCI ###### size 31 ###### gpa 3.553793736689284 ###### top Share 78.69346146940943 ###### count 56 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### POLISCI ###### size 32 ###### gpa 3.59050798614564 ###### top Share 80.89004576107973 ###### count 53.5 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### POLISCI ###### size 32 ###### gpa 3.654521141473103 ###### top Share 83.94942250442324 ###### count 55.5 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### POLISCI ###### size 33 ###### gpa 3.6552318292491512 ###### top Share 84.17209946246977 ###### count 79 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### POLISCI ###### size 30 ###### gpa 3.64488187596396 ###### top Share 82.45733464244728 ###### count 63.5 ## instructor Trends ```json [ { "uid": "instructor_cb32730a95946f703412851a", "name": "JOEL CLARK", "count": 559, "terms": [ { "term": "1152", "count": 16, "sections": 1, "gpa": 4 }, { "term": "1154", "count": 38, "sections": 2, "gpa": 4 }, { "term": "1162", "count": 23, "sections": 1, "gpa": 3.9782608695652173 }, { "term": "1164", "count": 42, "sections": 2, "gpa": 4 }, { "term": "1172", "count": 43, "sections": 2, "gpa": 3.953488372093023 }, { "term": "1174", "count": 54, "sections": 3, "gpa": 4 }, { "term": "1182", "count": 43, "sections": 2, "gpa": 3.9767441860465116 }, { "term": "1184", "count": 52, "sections": 3, "gpa": 3.980769230769231 }, { "term": "1192", "count": 12, "sections": 1, "gpa": 4 }, { "term": "1194", "count": 15, "sections": 1, "gpa": 4 }, { "term": "1202", "count": 15, "sections": 1, "gpa": 4 }, { "term": "1204", "count": 14, "sections": 1, "gpa": 4 }, { "term": "1212", "count": 22, "sections": 1, "gpa": 4 }, { "term": "1222", "count": 34, "sections": 1, "gpa": 3.985294117647059 }, { "term": "1224", "count": 23, "sections": 1, "gpa": 4 }, { "term": "1232", "count": 25, "sections": 1, "gpa": 4 }, { "term": "1252", "count": 41, "sections": 1, "gpa": 3.9390243902439024 }, { "term": "1262", "count": 47, "sections": 1, "gpa": 3.8617021276595747 } ] }, { "uid": "instructor_91ec71a674b14391963d1e48", "name": "JESSICA WEEKS", "count": 224, "terms": [ { "term": "1164", "count": 41, "sections": 1, "gpa": 3.4634146341463414 }, { "term": "1194", "count": 48, "sections": 1, "gpa": 3.59375 }, { "term": "1224", "count": 51, "sections": 1, "gpa": 3.5980392156862746 }, { "term": "1232", "count": 35, "sections": 1, "gpa": 3.6285714285714286 }, { "term": "1264", "count": 49, "sections": 1, "gpa": 3.816326530612245 } ] }, { "uid": "instructor_aa95e812f94247f0059102fe", "name": "DAVID EMANUEL NELSON", "count": 173, "terms": [ { "term": "1094", "count": 11, "sections": 1, "gpa": 4 }, { "term": "1104", "count": 16, "sections": 1, "gpa": 4 }, { "term": "1114", "count": 18, "sections": 1, "gpa": 4 }, { "term": "1124", "count": 21, "sections": 1, "gpa": 3.9761904761904763 }, { "term": "1134", "count": 33, "sections": 2, "gpa": 3.9696969696969697 }, { "term": "1142", "count": 20, "sections": 1, "gpa": 3.7 }, { "term": "1144", "count": 54, "sections": 3, "gpa": 3.712962962962963 } ] }, { "uid": "instructor_9ecc5ed2c8beeb238f10f5bf", "name": "RYAN OWENS", "count": 172, "terms": [ { "term": "1152", "count": 9, "sections": 1, "gpa": 3.7777777777777777 }, { "term": "1172", "count": 17, "sections": 1, "gpa": 3.4411764705882355 }, { "term": "1224", "count": 20, "sections": 1, "gpa": 3.575 }, { "term": "1242", "count": 126, "sections": 1, "gpa": 3.6904761904761907 } ] }, { "uid": "instructor_4a95edf7b7714279b090ce91", "name": "DANIEL KAPUST", "count": 126, "terms": [ { "term": "1242", "count": 126, "sections": 1, "gpa": 3.6904761904761907 } ] }, { "uid": "instructor_ac2d8ab56f7eb66833e23136", "name": "HOWARD SCHWEBER", "count": 116, "terms": [ { "term": "1154", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1162", "count": 9, "sections": 1, "gpa": 4 }, { "term": "1172", "count": 9, "sections": 1, "gpa": 4 }, { "term": "1182", "count": 18, "sections": 1, "gpa": 4 }, { "term": "1192", "count": 17, "sections": 1, "gpa": 4 }, { "term": "1202", "count": 19, "sections": 1, "gpa": 4 }, { "term": "1212", "count": 18, "sections": 1, "gpa": 4 }, { "term": "1232", "count": 20, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_7194bb9616811234a8294fb7", "name": "TANA JOHNSON", "count": 94, "terms": [ { "term": "1232", "count": 41, "sections": 2, "gpa": 3.9390243902439024 }, { "term": "1254", "count": 53, "sections": 1, "gpa": 3.849056603773585 } ] }, { "uid": "instructor_8f47c1986bfbdab3c14f2bd6", "name": "KATHERINE CRAMER", "count": 91, "terms": [ { "term": "1254", "count": 91, "sections": 1, "gpa": 3.681318681318681 } ] }, { "uid": "instructor_1e04b479c5405ff672a3649e", "name": "YOSHIKO HERRERA", "count": 83, "terms": [ { "term": "1232", "count": 83, "sections": 1, "gpa": 3.4759036144578315 } ] }, { "uid": "instructor_dff03385a7dcd1bead3a0359", "name": "JOHN ZUMBRUNNEN", "count": 79, "terms": [ { "term": "1132", "count": 15, "sections": 1, "gpa": 3.933333333333333 }, { "term": "1142", "count": 11, "sections": 1, "gpa": 3.909090909090909 }, { "term": "1164", "count": 13, "sections": 1, "gpa": 4 }, { "term": "1174", "count": 8, "sections": 1, "gpa": 4 }, { "term": "1184", "count": 13, "sections": 2, "gpa": 4 }, { "term": "1194", "count": 19, "sections": 3, "gpa": 4 } ] }, { "uid": "instructor_cae69192bf8de80c4dade777", "name": "ANDREW TREXLER", "count": 69, "terms": [ { "term": "1262", "count": 69, "sections": 1, "gpa": 3.7246376811594204 } ] }, { "uid": "instructor_fceca0860315ee319dd71dcf", "name": "JOHN COLEMAN", "count": 58, "terms": [ { "term": "1084", "count": 13, "sections": 1, "gpa": 3.9615384615384617 }, { "term": "1094", "count": 11, "sections": 1, "gpa": 4 }, { "term": "1104", "count": 16, "sections": 1, "gpa": 4 }, { "term": "1114", "count": 18, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_2e42a5c81252bdd2aab1a052", "name": "STEVEN BROOKE", "count": 47, "terms": [ { "term": "1204", "count": 47, "sections": 1, "gpa": 3.75531914893617 } ] }, { "uid": "instructor_fad4a62e5811176b5f3e8222", "name": "JEFFREY CHURCH", "count": 45, "terms": [ { "term": "1264", "count": 45, "sections": 1, "gpa": 3.5444444444444443 } ] }, { "uid": "instructor_ed721de850ce21e286a482f4", "name": "TERENCE ROEHRIG", "count": 44, "terms": [ { "term": "1254", "count": 44, "sections": 1, "gpa": 3.2954545454545454 } ] }, { "uid": "instructor_807eb951de721dddde1509cf", "name": "ANDRES URIBE", "count": 42, "terms": [ { "term": "1264", "count": 42, "sections": 1, "gpa": 3.738095238095238 } ] }, { "uid": "instructor_be701a68a730148569b592c8", "name": "ZHENHUAN LEI", "count": 42, "terms": [ { "term": "1212", "count": 42, "sections": 1, "gpa": 3.630952380952381 } ] }, { "uid": "instructor_0b6f88460243fa7c497b335e", "name": "RICARDO COURT", "count": 39, "terms": [ { "term": "1184", "count": 39, "sections": 2, "gpa": 3.9743589743589745 } ] }, { "uid": "instructor_9096e93537a823d79ca76a89", "name": "ANA OAXACA CARRASCO", "count": 38, "terms": [ { "term": "1264", "count": 38, "sections": 1, "gpa": 3.6842105263157894 } ] }, { "uid": "instructor_5a65ea4081a76c25aff25170", "name": "MATTHEW PIETRYKA", "count": 36, "terms": [ { "term": "1264", "count": 36, "sections": 1, "gpa": 3.263888888888889 } ] }, { "uid": "instructor_ad50029bad48a33fea84c4de", "name": "RICKY CVEYKUS", "count": 34, "terms": [ { "term": "1194", "count": 34, "sections": 1, "gpa": 3.4705882352941178 } ] }, { "uid": "instructor_09fdd38c929e44cccc35fd8b", "name": "CHARLES HOSLET", "count": 29, "terms": [ { "term": "1262", "count": 29, "sections": 1, "gpa": 3.413793103448276 } ] }, { "uid": "instructor_ef1775c2d1a3030196ceeab9", "name": "EDUARDO SCHMIDT PASSOS", "count": 28, "terms": [ { "term": "1222", "count": 28, "sections": 1, "gpa": 3.4285714285714284 } ] }, { "uid": "instructor_59e61c95b9f8d70479006cde", "name": "JOSHUA DIENSTAG", "count": 26, "terms": [ { "term": "1252", "count": 26, "sections": 1, "gpa": 3.5576923076923075 } ] }, { "uid": "instructor_07519dfd89897b74b647cc29", "name": "THOMAS WORTH", "count": 25, "terms": [ { "term": "1224", "count": 25, "sections": 1, "gpa": 3.38 } ] }, { "uid": "instructor_4058735a690e8566a3e9c524", "name": "JIAQI LU", "count": 25, "terms": [ { "term": "1234", "count": 25, "sections": 1, "gpa": 3.74 } ] }, { "uid": "instructor_1f1e957303c777aa91c93ce0", "name": "MARWA SHALABY", "count": 24, "terms": [ { "term": "1222", "count": 24, "sections": 1, "gpa": 3.8125 } ] }, { "uid": "instructor_5a44bbd8447077b63c747632", "name": "DAVID PARKER", "count": 22, "terms": [ { "term": "1254", "count": 22, "sections": 1, "gpa": 3.522727272727273 } ] }, { "uid": "instructor_83c6e5ba0fbb06c81baccd38", "name": "JONATHAN SCHWARTZ", "count": 21, "terms": [ { "term": "1172", "count": 21, "sections": 1, "gpa": 3.4285714285714284 } ] }, { "uid": "instructor_63dd13f0b55e2c3c07b73f51", "name": "TONI LANDIS", "count": 20, "terms": [ { "term": "1164", "count": 20, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_ea2ad4d9b1a7f226e00fc42d", "name": "HAMNI PARK", "count": 19, "terms": [ { "term": "1262", "count": 19, "sections": 1, "gpa": 3.8421052631578947 } ] }, { "uid": "instructor_5e4a2f6931fbe1f9634ede5c", "name": "STEPHANIE HARRILL", "count": 15, "terms": [ { "term": "1162", "count": 15, "sections": 1, "gpa": 3.8666666666666667 } ] }, { "uid": "instructor_f9fa0ef7f39771751e9a0203", "name": "LIANE KOSAKI", "count": 14, "terms": [ { "term": "1134", "count": 14, "sections": 1, "gpa": 3.9285714285714284 } ] }, { "uid": "instructor_fb35e3d3e837fe7a2fa368bd", "name": "GRAHAM K WILSON", "count": 11, "terms": [ { "term": "1074", "count": 11, "sections": 1, "gpa": 3.9545454545454546 } ] }, { "uid": "instructor_152b5f552d35dc649b2fc5a7", "name": "MICHELLE SCHWARZE", "count": 7, "terms": [ { "term": "1152", "count": 7, "sections": 1, "gpa": 3.5 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.57 #### upper 3.9 #### coverage 80 #### terms 8 ### gpa 3.73500848476509 ### grades | grade | percentage | | ----- | ------------------- | | A | 68.37505724063247 | | AB | 20.671197940097986 | | B | 5.79587600931404 | | BC | 2.5675801026739555 | | C | 1.8477632270733124 | | D | 0.14932198486248377 | | F | 0.5932034953457233 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 647 ### same Season true ### historical Range * 3.6904761904761902 * 3.7910447761194037 ### backtest #### terms 8 #### gpa Error 0.10512505027568436 #### mix Error 12.156491385663406