# POLISCI 170: Research Methods in Political Science | UW–Madison [View on UW Courses](https://uwcourses.com/courses/POLISCI_170) ## 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 6d36695b57f4a2cf375deb52d58c658358e155e3200040805978777938b47f18 ### course id POLISCI 170 ### course uid course\_4ca244dc5323b86b377a82c2 ### catalog version id a6224c7f4af49df272c45769c4c26ae06cf3d5cdbddfee9d3e1511c72cec7076 ### course number 170 ### subjects * POLISCI ### title RESEARCH METHODS IN POLITICAL SCIENCE ### description Introduction to political science as a discipline that focuses on the development of research questions, research designs, and the quantitative and qualitative tools commonly used to implement research designs. ### requirements text None ### credits min 3 ### credits max 4 ### credit offering ids * 1272:778:024173 ### llm job id enrich-ecd149b6a6e0877fce2f3d1c ### llm output id 083885458d4bee55d1b17ea745bde7b071991e67142bda59ddaf8b634a4b4b8e ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary POLISCI 170 introduces political science research methods, teaching students to develop research questions, design studies, and apply quantitative and qualitative tools. ### llm topics * Political science as a discipline * Research questions * Research designs * Quantitative and qualitative tools ### llm skills * Developing research questions * Designing research studies * Applying quantitative and qualitative research tools ### llm assumed background None recorded. ### llm search phrases * political science research methods * quantitative qualitative research design * research questions political science * POLISCI 170 research tools ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 44c1b79d9e98cfa8dab672f584595f1be7b5a58f1780c84d086b136245281a1b #### course id POLISCI 170 #### current instructors ```json [ { "instructor_uid": "instructor_451992f7d76a712713d9b49d", "message": "No course-specific reviews available", "name": "Marty Davidson", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:3125876", "summary": [] } ] ``` #### difficulty workload Historical reviews of Jessica Weeks: The course involves occasional short papers and heavy reliance on lectures and memorization. Reviewers report that tests are fairly challenging and getting an A requires extra effort, while projects may be graded toughly. ```json { "citations": [ { "instructor_name": "Jessica Weeks", "review_date": "2018-04-12 13:24:09 +0000 UTC", "review_id": "b041279d117ba6a163da61cd", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2047267", "source_review_id": "UmF0aW5nLTI5NzkyMTQ2", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "type": "review" }, { "instructor_name": "Jessica Weeks", "review_date": "2023-11-12 00:22:37 +0000 UTC", "review_id": "ff081b8a07606e9e5d4f70fc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2047267", "source_review_id": "UmF0aW5nLTM4Mzc2Mjgx", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "type": "review" }, { "instructor_name": "Jessica Weeks", "review_date": "2024-02-12 19:25:01 +0000 UTC", "review_id": "3cd851e21a7c2feb751ec362", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2047267", "source_review_id": "UmF0aW5nLTM4OTY5ODUz", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Jessica Weeks describe POLISCI 170 as concept-based and generally easy, though some find lectures boring or grading strict on projects. Students note that attendance and memorization are key, with clear exam outlines and fair grading supporting success. ```json { "citations": [ { "instructor_name": "Jessica Weeks", "review_date": "2018-04-12 13:24:09 +0000 UTC", "review_id": "b041279d117ba6a163da61cd", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2047267", "source_review_id": "UmF0aW5nLTI5NzkyMTQ2", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "type": "review" }, { "instructor_name": "Jessica Weeks", "review_date": "2018-12-28 02:03:03 +0000 UTC", "review_id": "ffd8e230d386a7bff3ccae94", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2047267", "source_review_id": "UmF0aW5nLTMxMTY2MTk1", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "type": "review" }, { "instructor_name": "Jessica Weeks", "review_date": "2020-12-14 21:17:09 +0000 UTC", "review_id": "1d4feac5f0671f4885197a07", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2047267", "source_review_id": "UmF0aW5nLTM0MDcwNjQz", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "type": "review" }, { "instructor_name": "Jessica Weeks", "review_date": "2021-12-22 13:41:23 +0000 UTC", "review_id": "f4962a2884060cff18485b85", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2047267", "source_review_id": "UmF0aW5nLTM1NjMxMTY3", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "type": "review" }, { "instructor_name": "Jessica Weeks", "review_date": "2023-10-05 21:28:49 +0000 UTC", "review_id": "7c64ed04d95143b1eff67782", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2047267", "source_review_id": "UmF0aW5nLTM4MjU2MDg5", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "type": "review" }, { "instructor_name": "Jessica Weeks", "review_date": "2023-11-12 00:22:37 +0000 UTC", "review_id": "ff081b8a07606e9e5d4f70fc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2047267", "source_review_id": "UmF0aW5nLTM4Mzc2Mjgx", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "type": "review" }, { "instructor_name": "Jessica Weeks", "review_date": "2024-02-12 19:25:01 +0000 UTC", "review_id": "3cd851e21a7c2feb751ec362", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2047267", "source_review_id": "UmF0aW5nLTM4OTY5ODUz", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews of Jessica Weeks: Jessica Weeks teaches a concept-based course that reviewers describe as easy and gentle, though some find the material forgettable. Students note that while the workload is light, tests can be challenging and require understanding key concepts. ```json { "citations": [ { "instructor_name": "Jessica Weeks", "review_date": "2018-04-12 13:24:09 +0000 UTC", "review_id": "b041279d117ba6a163da61cd", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2047267", "source_review_id": "UmF0aW5nLTI5NzkyMTQ2", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "type": "review" }, { "instructor_name": "Jessica Weeks", "review_date": "2018-12-28 02:03:03 +0000 UTC", "review_id": "ffd8e230d386a7bff3ccae94", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2047267", "source_review_id": "UmF0aW5nLTMxMTY2MTk1", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "type": "review" }, { "instructor_name": "Jessica Weeks", "review_date": "2020-12-14 21:17:09 +0000 UTC", "review_id": "1d4feac5f0671f4885197a07", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2047267", "source_review_id": "UmF0aW5nLTM0MDcwNjQz", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "type": "review" } ] } ``` Recent recorded grades — Spring 2024: 3.12 GPA, 63.8% A/AB (n=47 letter grades); Spring 2025: 3.23 GPA, 59.5% A/AB (n=126 letter grades); Fall 2025: 3.58 GPA, 80.9% A/AB (n=89 letter grades). ```json { "citations": [ { "course_id": "POLISCI 170", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6cee1fad-08b7-3e43-ae89-d25f8cf4cb94", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "POLISCI 170", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6cee1fad-08b7-3e43-ae89-d25f8cf4cb94", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "POLISCI 170", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "6cee1fad-08b7-3e43-ae89-d25f8cf4cb94", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience Historical reviews of Jessica Weeks: Students appreciate that Weeks clearly outlines exam content and provides numerous study resources on Canvas. Reviewers also note she is a good professor who cares about student success. ```json { "citations": [ { "instructor_name": "Jessica Weeks", "review_date": "2021-12-22 13:41:23 +0000 UTC", "review_id": "f4962a2884060cff18485b85", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2047267", "source_review_id": "UmF0aW5nLTM1NjMxMTY3", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "type": "review" }, { "instructor_name": "Jessica Weeks", "review_date": "2023-11-12 00:22:37 +0000 UTC", "review_id": "ff081b8a07606e9e5d4f70fc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2047267", "source_review_id": "UmF0aW5nLTM4Mzc2Mjgx", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history JESSICA WEEKS is recorded teaching in Spring 2018, Fall 2018, Fall 2020, Fall 2021, Spring 2023, Fall 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "POLISCI 170", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6cee1fad-08b7-3e43-ae89-d25f8cf4cb94", "source_record": { "entity_id": "6cee1fad-08b7-3e43-ae89-d25f8cf4cb94", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "POLISCI 170", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6cee1fad-08b7-3e43-ae89-d25f8cf4cb94", "source_record": { "entity_id": "6cee1fad-08b7-3e43-ae89-d25f8cf4cb94", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "POLISCI 170", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6cee1fad-08b7-3e43-ae89-d25f8cf4cb94", "source_record": { "entity_id": "6cee1fad-08b7-3e43-ae89-d25f8cf4cb94", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "POLISCI 170", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6cee1fad-08b7-3e43-ae89-d25f8cf4cb94", "source_record": { "entity_id": "6cee1fad-08b7-3e43-ae89-d25f8cf4cb94", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "POLISCI 170", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6cee1fad-08b7-3e43-ae89-d25f8cf4cb94", "source_record": { "entity_id": "6cee1fad-08b7-3e43-ae89-d25f8cf4cb94", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "POLISCI 170", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "6cee1fad-08b7-3e43-ae89-d25f8cf4cb94", "source_record": { "entity_id": "6cee1fad-08b7-3e43-ae89-d25f8cf4cb94", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "None", "course": null, "evidence": "None", "id": "source_requirements", "kind": "condition" } ] ``` #### notes * Display fallback using original requirements text; not an LLM-parsed rule. #### root source\_requirements #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_0f654395cf198143fc8170dc", "source": "enrollment", "source_instructor_id": "pinoflores", "identity_basis": "netid", "identity_status": "source_identified", "name": "Mario Pino Flores", "email": "PINOFLORES@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/MARIO_PINO_FLORES" }, { "instructor_uid": "instructor_451992f7d76a712713d9b49d", "source": "enrollment", "source_instructor_id": "madavidson2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Marty Davidson", "email": "MADAVIDSON2@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": 4, "quality": 3.5, "difficulty": 2.5, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:3125876", "source_url": "https://www.ratemyprofessors.com/professor/3125876", "match_basis": "exact_name", "observed_at": "2026-09-07 16:20:17.635410+00:00", "courses": { "course_ce2ecf7c5d366ebd00c93f21": { "review_count": 4, "quality": 3.5, "difficulty": 2.5, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.6330714862888294, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MARTY_DAVIDSON" }, { "instructor_uid": "instructor_a34ca694f8a3a6fe16fad05a", "source": "enrollment", "source_instructor_id": "komer", "identity_basis": "netid", "identity_status": "source_identified", "name": "Monica Komer", "email": "KOMER@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/MONICA_KOMER" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:778:024173", "course_id": "POLISCI 170", "course_uid": "course_4ca244dc5323b86b377a82c2", "term_id": "1272", "source_course_id": "024173", "source_subject_id": "778", "title": "Research Methods in Political Science", "credits_min": 3, "credits_max": 4, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:32335", "term_id": "1272", "source_section_id": "32335", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 126, "enrolled": 119, "waitlisted": 3, "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:1272:32336", "term_id": "1272", "source_section_id": "32336", "identity_basis": "class_number", "section_number": "302", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 21, "enrolled": 21, "waitlisted": 1, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:32337", "term_id": "1272", "source_section_id": "32337", "identity_basis": "class_number", "section_number": "303", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 21, "enrolled": 18, "waitlisted": 2, "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:1272:32338", "term_id": "1272", "source_section_id": "32338", "identity_basis": "class_number", "section_number": "304", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 21, "enrolled": 21, "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:1272:32339", "term_id": "1272", "source_section_id": "32339", "identity_basis": "class_number", "section_number": "305", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 21, "enrolled": 19, "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:1272:32340", "term_id": "1272", "source_section_id": "32340", "identity_basis": "class_number", "section_number": "306", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 21, "enrolled": 20, "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:1272:32341", "term_id": "1272", "source_section_id": "32341", "identity_basis": "class_number", "section_number": "307", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 21, "enrolled": 20, "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_cb753742b4aa9216a15c00f1", "source": "madgrades", "source_instructor_id": "4722803", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HANNAH CHAPMAN", "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": 3.271, "graded": 48, "counts": [ 14, 16, 6, 8, 3, 1, 0 ], "sections": 2 }, "instructor_url": "/instructors/HANNAH_CHAPMAN--instructor_cb753742b4aa9216a15c00f1" }, { "instructor_uid": "instructor_91ec71a674b14391963d1e48", "source": "madgrades", "source_instructor_id": "5214165", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JESSICA WEEKS", "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": 25, "quality": 3.64, "difficulty": 3, "quality_count": 25, "difficulty_count": 25, "profile_id": "rmp:2047267", "source_url": "https://www.ratemyprofessors.com/professor/2047267", "match_basis": "exact_name", "observed_at": "2026-09-07 16:32:40.189377+00:00", "courses": { "course_97aa545acbc4d4c9d7531ec3": { "review_count": 5, "quality": 2.6, "difficulty": 3.8, "quality_count": 5, "difficulty_count": 5 }, "course_cad402a99b92ef16cfa9ecd2": { "review_count": 2, "quality": 3.5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2 }, "course_4ca244dc5323b86b377a82c2": { "review_count": 7, "quality": 4, "difficulty": 2.71, "quality_count": 7, "difficulty_count": 7 } }, "bayesian_quality": 3.64874923713182, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.491, "graded": 1215, "counts": [ 535, 404, 127, 87, 37, 15, 10 ], "sections": 48 }, "instructor_url": "/instructors/JESSICA_WEEKS--instructor_91ec71a674b14391963d1e48" }, { "instructor_uid": "instructor_89e89e8201e3c76fb1d50cd0", "source": "madgrades", "source_instructor_id": "5141179", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JONATHAN RENSHON", "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": 15, "quality": 2.87, "difficulty": 3.47, "quality_count": 15, "difficulty_count": 15, "profile_id": "rmp:2016825", "source_url": "https://www.ratemyprofessors.com/professor/2016825", "match_basis": "exact_name", "observed_at": "2026-09-07 16:30:39.811773+00:00", "courses": { "course_734c4b488732ae039c8cccdf": { "review_count": 1, "quality": 2, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.3212490191694832, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.297, "graded": 674, "counts": [ 206, 229, 109, 77, 28, 21, 4 ], "sections": 35 }, "instructor_url": "/instructors/JONATHAN_RENSHON--instructor_89e89e8201e3c76fb1d50cd0" }, { "instructor_uid": "instructor_07519dfd89897b74b647cc29", "source": "madgrades", "source_instructor_id": "5912119", "identity_basis": "source_id", "identity_status": "source_identified", "name": "THOMAS WORTH", "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": 3.366, "graded": 108, "counts": [ 43, 34, 12, 7, 8, 3, 1 ], "sections": 3 }, "instructor_url": "/instructors/THOMAS_WORTH" }, { "instructor_uid": "instructor_2e955afb3c2d3c2cbd72983e", "source": "madgrades", "source_instructor_id": "6801619", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANTON STREZHNEV", "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": 3.605, "graded": 110, "counts": [ 61, 28, 11, 5, 4, 1, 0 ], "sections": 4 }, "instructor_url": "/instructors/ANTON_STREZHNEV--instructor_2e955afb3c2d3c2cbd72983e" }, { "instructor_uid": "instructor_0f654395cf198143fc8170dc", "source": "enrollment", "source_instructor_id": "pinoflores", "identity_basis": "netid", "identity_status": "source_identified", "name": "Mario Pino Flores", "email": "PINOFLORES@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/MARIO_PINO_FLORES" }, { "instructor_uid": "instructor_451992f7d76a712713d9b49d", "source": "enrollment", "source_instructor_id": "madavidson2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Marty Davidson", "email": "MADAVIDSON2@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": 4, "quality": 3.5, "difficulty": 2.5, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:3125876", "source_url": "https://www.ratemyprofessors.com/professor/3125876", "match_basis": "exact_name", "observed_at": "2026-09-07 16:20:17.635410+00:00", "courses": { "course_ce2ecf7c5d366ebd00c93f21": { "review_count": 4, "quality": 3.5, "difficulty": 2.5, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.6330714862888294, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MARTY_DAVIDSON" }, { "instructor_uid": "instructor_a34ca694f8a3a6fe16fad05a", "source": "enrollment", "source_instructor_id": "komer", "identity_basis": "netid", "identity_status": "source_identified", "name": "Monica Komer", "email": "KOMER@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/MONICA_KOMER" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 170", "course_uid": "course_4ca244dc5323b86b377a82c2", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "HANNAH CHAPMAN" ], "a": 14, "ab": 16, "b": 6, "bc": 8, "c": 3, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "POLISCI 170" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 170", "course_uid": "course_4ca244dc5323b86b377a82c2", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Jessica Weeks" ], "a": 35, "ab": 33, "b": 9, "bc": 13, "c": 3, "d": 4, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 97, "source_aliases": [ "POLISCI 170" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 170", "course_uid": "course_4ca244dc5323b86b377a82c2", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Jessica Weeks" ], "a": 67, "ab": 42, "b": 19, "bc": 12, "c": 8, "d": 0, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 1, "total": 151, "source_aliases": [ "POLISCI 170" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 170", "course_uid": "course_4ca244dc5323b86b377a82c2", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Jonathan Renshon" ], "a": 21, "ab": 39, "b": 12, "bc": 15, "c": 6, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 97, "source_aliases": [ "POLISCI 170" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 170", "course_uid": "course_4ca244dc5323b86b377a82c2", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Jonathan Renshon" ], "a": 20, "ab": 55, "b": 18, "bc": 5, "c": 2, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 102, "source_aliases": [ "POLISCI 170" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 170", "course_uid": "course_4ca244dc5323b86b377a82c2", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Jessica Weeks" ], "a": 60, "ab": 52, "b": 17, "bc": 11, "c": 5, "d": 3, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 150, "source_aliases": [ "POLISCI 170" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 170", "course_uid": "course_4ca244dc5323b86b377a82c2", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Jessica Weeks" ], "a": 36, "ab": 39, "b": 8, "bc": 7, "c": 2, "d": 1, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 3, "no_work": 0, "not_reported": 0, "other": 0, "total": 98, "source_aliases": [ "POLISCI 170" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 170", "course_uid": "course_4ca244dc5323b86b377a82c2", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Jonathan Renshon" ], "a": 32, "ab": 21, "b": 14, "bc": 12, "c": 4, "d": 1, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 1, "total": 88, "source_aliases": [ "POLISCI 170" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 170", "course_uid": "course_4ca244dc5323b86b377a82c2", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Jonathan Renshon" ], "a": 25, "ab": 31, "b": 10, "bc": 10, "c": 6, "d": 5, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 87, "source_aliases": [ "POLISCI 170" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 170", "course_uid": "course_4ca244dc5323b86b377a82c2", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Jessica Weeks" ], "a": 45, "ab": 42, "b": 9, "bc": 7, "c": 9, "d": 1, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 116, "source_aliases": [ "POLISCI 170" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 170", "course_uid": "course_4ca244dc5323b86b377a82c2", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Jessica Weeks" ], "a": 28, "ab": 40, "b": 22, "bc": 12, "c": 6, "d": 5, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 116, "source_aliases": [ "POLISCI 170" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 170", "course_uid": "course_4ca244dc5323b86b377a82c2", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "THOMAS WORTH" ], "a": 9, "ab": 21, "b": 5, "bc": 4, "c": 5, "d": 2, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "POLISCI 170" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 170", "course_uid": "course_4ca244dc5323b86b377a82c2", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Jonathan Renshon" ], "a": 31, "ab": 44, "b": 28, "bc": 13, "c": 3, "d": 7, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 126, "source_aliases": [ "POLISCI 170" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 170", "course_uid": "course_4ca244dc5323b86b377a82c2", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Anton Strezhnev" ], "a": 49, "ab": 23, "b": 7, "bc": 5, "c": 4, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 89, "source_aliases": [ "POLISCI 170" ] } ] ``` ### statistics #### gpa 3.337 #### graded 1404 #### counts * 472 * 498 * 184 * 134 * 66 * 35 * 15 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_4ca244dc5323b86b377a82c2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_4ca244dc5323b86b377a82c2-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_4ca244dc5323b86b377a82c2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_4ca244dc5323b86b377a82c2-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_4ca244dc5323b86b377a82c2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_4ca244dc5323b86b377a82c2-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_4ca244dc5323b86b377a82c2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_4ca244dc5323b86b377a82c2-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_4ca244dc5323b86b377a82c2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_4ca244dc5323b86b377a82c2-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.3368945868945867 #### count 1404 #### university ##### size 4762 ##### gpa Percentile 12 ##### count Percentile 94 ##### median Count 143 ##### 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 | 11 | false | | 2.8–3.2 | 289 | false | | 3.2–3.6 | 1236 | true | | 3.6–4.0 | 3225 | false | #### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 110, "gpaPercentile": 18, "countPercentile": 95, "medianCount": 154.5, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 47, "current": true }, { "range": "3.6–4.0", "count": 57, "current": false } ] } } ] ``` ### terms #### 1182 ##### term 1182 ##### gpa 3.2708333333333335 ##### count 48 ##### university ###### size 1025 ###### gpa Percentile 29 ###### count Percentile 30 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 27, "gpaPercentile": 31, "countPercentile": 27, "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": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.350515463917526 ##### count 97 ##### university ###### size 1010 ###### gpa Percentile 35 ###### count Percentile 68 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 48, "countPercentile": 74, "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": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.453333333333333 ##### count 150 ##### university ###### size 1077 ###### gpa Percentile 42 ###### count Percentile 81 ###### 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 | true | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 24, "gpaPercentile": 65, "countPercentile": 83, "medianCount": 71.5, "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": 12, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.21875 ##### count 96 ##### university ###### size 1040 ###### gpa Percentile 25 ###### count Percentile 68 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | true | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 26, "countPercentile": 74, "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": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.372549019607843 ##### count 102 ##### university ###### size 1102 ###### gpa Percentile 35 ###### 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 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 26, "gpaPercentile": 36, "countPercentile": 68, "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": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.446308724832215 ##### count 149 ##### university ###### size 1111 ###### gpa Percentile 31 ###### count Percentile 80 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 29, "gpaPercentile": 36, "countPercentile": 82, "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": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.442105263157895 ##### count 95 ##### university ###### size 1157 ###### gpa Percentile 33 ###### count Percentile 65 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 35, "countPercentile": 77, "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": true }, { "range": "3.6–4.0", "count": 15, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.2471264367816093 ##### count 87 ##### university ###### size 1171 ###### gpa Percentile 19 ###### count Percentile 62 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 11, "countPercentile": 67, "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": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.2241379310344827 ##### count 87 ##### university ###### size 1216 ###### gpa Percentile 17 ###### count Percentile 60 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 33, "gpaPercentile": 16, "countPercentile": 59, "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": true }, { "range": "3.6–4.0", "count": 15, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.3663793103448274 ##### count 116 ##### university ###### size 1188 ###### gpa Percentile 26 ###### count Percentile 74 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 15, "countPercentile": 85, "medianCount": 60.5, "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": 13, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.1739130434782608 ##### count 115 ##### university ###### size 1295 ###### gpa Percentile 12 ###### count Percentile 73 ###### 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 | true | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 31, "gpaPercentile": 10, "countPercentile": 83, "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": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.117021276595745 ##### count 47 ##### university ###### size 1241 ###### gpa Percentile 9 ###### count Percentile 32 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | true | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 31, "gpaPercentile": 3, "countPercentile": 33, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.234126984126984 ##### count 126 ##### university ###### size 1289 ###### gpa Percentile 12 ###### count Percentile 78 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 3, "countPercentile": 84, "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": true }, { "range": "3.6–4.0", "count": 23, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.5842696629213484 ##### count 89 ##### university ###### size 1320 ###### gpa Percentile 38 ###### count Percentile 59 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 33, "gpaPercentile": 25, "countPercentile": 63, "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": true }, { "range": "3.6–4.0", "count": 23, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4762 ###### gpa 3.685602777223586 ###### top Share 83.46431281718414 ###### count 143 ##### POLISCI ###### size 110 ###### gpa 3.576764626650787 ###### top Share 79.47421013720358 ###### count 154.5 #### terms ##### 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 ##### 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 ##### 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 ## instructor Trends ```json [ { "uid": "instructor_91ec71a674b14391963d1e48", "name": "JESSICA WEEKS", "count": 722, "terms": [ { "term": "1184", "count": 97, "sections": 1, "gpa": 3.350515463917526 }, { "term": "1192", "count": 150, "sections": 1, "gpa": 3.453333333333333 }, { "term": "1212", "count": 149, "sections": 1, "gpa": 3.446308724832215 }, { "term": "1222", "count": 95, "sections": 1, "gpa": 3.442105263157895 }, { "term": "1234", "count": 116, "sections": 1, "gpa": 3.3663793103448274 }, { "term": "1242", "count": 115, "sections": 1, "gpa": 3.1739130434782608 } ] }, { "uid": "instructor_89e89e8201e3c76fb1d50cd0", "name": "JONATHAN RENSHON", "count": 498, "terms": [ { "term": "1194", "count": 96, "sections": 1, "gpa": 3.21875 }, { "term": "1202", "count": 102, "sections": 1, "gpa": 3.372549019607843 }, { "term": "1224", "count": 87, "sections": 1, "gpa": 3.2471264367816093 }, { "term": "1232", "count": 87, "sections": 1, "gpa": 3.2241379310344827 }, { "term": "1254", "count": 126, "sections": 1, "gpa": 3.234126984126984 } ] }, { "uid": "instructor_2e955afb3c2d3c2cbd72983e", "name": "ANTON STREZHNEV", "count": 89, "terms": [ { "term": "1262", "count": 89, "sections": 1, "gpa": 3.5842696629213484 } ] }, { "uid": "instructor_cb753742b4aa9216a15c00f1", "name": "HANNAH CHAPMAN", "count": 48, "terms": [ { "term": "1182", "count": 48, "sections": 1, "gpa": 3.2708333333333335 } ] }, { "uid": "instructor_07519dfd89897b74b647cc29", "name": "THOMAS WORTH", "count": 47, "terms": [ { "term": "1244", "count": 47, "sections": 1, "gpa": 3.117021276595745 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.07 #### upper 3.67 #### coverage 80 #### terms 6 ### gpa 3.3703273266608624 ### grades | grade | percentage | | ----- | ------------------ | | A | 38.051270496512586 | | AB | 33.02585659055071 | | B | 11.801293073123876 | | BC | 8.500933954293442 | | C | 4.796742176910755 | | D | 2.9874541541817337 | | F | 0.8364495544268944 | ### source Terms * 1262 * 1242 * 1232 * 1222 ### source Count 386 ### same Season true ### historical Range * 3.1739130434782608 * 3.5842696629213484 ### backtest #### terms 6 #### gpa Error 0.1374981637832405 #### mix Error 15.750927857948858