# ILS/POLISCI 463: Deception and Politics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ILS_POLISCI_463) ## 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 5b31f5e103f459baaecac94fb655d46e413be6c8afcf9bc1ef1c9351ff323ddc ### course id ILS/POLISCI 463 ### course uid course\_b4995635f02518f77cf89dc2 ### catalog version id bc14656194884e71d611d2a37ddaca7724435c8e0e8806ba3640d64f2a08a797 ### course number 463 ### subjects * ILS * POLISCI ### title DECEPTION AND POLITICS ### description Deception and truth telling as matters of fundamental political concern. Writers ranging from Plato to John Rawls have grappled with the problem of deception and truth-telling in politics. Flattery, hypocrisy, lying as a matter of state, lying as a matter of policy: philosophical explorations of these and related phenomena are the central focus. ### requirements text Sophomore standing ### credits min 3 ### credits max 4 ### credit offering ids * 1272:500:024655 * 1272:778:024655 ### llm job id enrich-ecd149b6a6e0877fce2f3d1c ### llm output id 0120da1a156a3c447ade628b4b3f7a9f2b90c50f675050edad53edd1941b17cd ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Examines deception and truth-telling as fundamental political concerns through philosophical explorations from Plato to Rawls. ### llm topics * Flattery, hypocrisy, and lying in state and policy * Political philosophy from Plato to John Rawls ### llm skills * Philosophical exploration of deception and truth-telling ### llm assumed background None recorded. ### llm search phrases * deception politics philosophy * truth telling political theory * lying state policy ethics ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 576cf67b3e6a33e18a126762539d31c3e5b9a632dcace7042d06ca5474a42bce #### course id ILS/POLISCI 463 #### current instructors ```json [ { "instructor_uid": "instructor_5c9c913aba8fb74dec1aa5f3", "message": "No course-specific reviews available", "name": "Aleisha Lachette", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload Historical reviews of Daniel Kapust: Reviewers note a heavy reading load, but Kapust covers the material in lecture, making it manageable for those who attend. ```json { "citations": [ { "instructor_name": "Daniel Kapust", "review_date": "2025-12-17 21:42:23 +0000 UTC", "review_id": "117af7dbfcae74ba4ef085a5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1724937", "source_review_id": "UmF0aW5nLTQyMzE2NDI1", "source_url": "https://www.ratemyprofessors.com/professor/1724937", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Daniel Kapust describe him as an engaging instructor who explains complex concepts well, though the course involves significant reading. One reviewer notes that while attendance is not mandatory, it is necessary for success in the class. ```json { "citations": [ { "instructor_name": "Daniel Kapust", "review_date": "2025-12-17 21:42:23 +0000 UTC", "review_id": "117af7dbfcae74ba4ef085a5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1724937", "source_review_id": "UmF0aW5nLTQyMzE2NDI1", "source_url": "https://www.ratemyprofessors.com/professor/1724937", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews for Daniel Kapust describe an engaging and highly rated experience, though the current instructor is Aleisha Lachette. ```json { "citations": [ { "instructor_name": "Daniel Kapust", "review_date": "2025-12-17 21:42:23 +0000 UTC", "review_id": "117af7dbfcae74ba4ef085a5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1724937", "source_review_id": "UmF0aW5nLTQyMzE2NDI1", "source_url": "https://www.ratemyprofessors.com/professor/1724937", "type": "review" } ] } ``` Recent recorded grades — Spring 2024: 3.78 GPA, 90.4% A/AB (n=94 letter grades); Fall 2024: 3.85 GPA, 96.0% A/AB (n=50 letter grades); Fall 2025: 3.90 GPA, 99.1% A/AB (n=112 letter grades). ```json { "citations": [ { "course_id": "ILS/POLISCI 463", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "83d013f4-85e9-379f-8b74-bf30c8ce0348", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ILS/POLISCI 463", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "83d013f4-85e9-379f-8b74-bf30c8ce0348", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ILS/POLISCI 463", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "83d013f4-85e9-379f-8b74-bf30c8ce0348", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience Historical reviews of Daniel Kapust: Kapust is praised for explaining tough concepts well and being funny, with attendance deemed necessary for success despite not being mandatory. ```json { "citations": [ { "instructor_name": "Daniel Kapust", "review_date": "2025-12-17 21:42:23 +0000 UTC", "review_id": "117af7dbfcae74ba4ef085a5", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1724937", "source_review_id": "UmF0aW5nLTQyMzE2NDI1", "source_url": "https://www.ratemyprofessors.com/professor/1724937", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history DANIEL KAPUST is recorded teaching in Spring 2019, Fall 2021, Spring 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ILS/POLISCI 463", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "83d013f4-85e9-379f-8b74-bf30c8ce0348", "source_record": { "entity_id": "83d013f4-85e9-379f-8b74-bf30c8ce0348", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "ILS/POLISCI 463", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "83d013f4-85e9-379f-8b74-bf30c8ce0348", "source_record": { "entity_id": "83d013f4-85e9-379f-8b74-bf30c8ce0348", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ILS/POLISCI 463", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "83d013f4-85e9-379f-8b74-bf30c8ce0348", "source_record": { "entity_id": "83d013f4-85e9-379f-8b74-bf30c8ce0348", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ILS/POLISCI 463", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "83d013f4-85e9-379f-8b74-bf30c8ce0348", "source_record": { "entity_id": "83d013f4-85e9-379f-8b74-bf30c8ce0348", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Sophomore standing", "course": null, "evidence": "Sophomore standing", "id": "n0", "kind": "condition" } ] ``` #### notes * Single standing requirement directly modeled as a condition node. #### root n0 #### status 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source\_identified | Nicolas Reina | NREINA\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/NICOLAS\_REINA | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:500:024655", "course_id": "ILS/POLISCI 463", "course_uid": "course_b4995635f02518f77cf89dc2", "term_id": "1272", "source_course_id": "024655", "source_subject_id": "500", "title": "Deception and Politics", "credits_min": 3, "credits_max": 4, "typically_offered": "Fall, Spring" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:778:024655", "course_id": "ILS/POLISCI 463", "course_uid": "course_b4995635f02518f77cf89dc2", "term_id": "1272", "source_course_id": "024655", "source_subject_id": "778", "title": "Deception and Politics", "credits_min": 3, "credits_max": 4, "typically_offered": "Fall, 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Instruction", "capacity": 0, "enrolled": 4, "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_4a95edf7b7714279b090ce91", "source": "madgrades", "source_instructor_id": "182558", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DANIEL KAPUST", "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": 53, "quality": 4.72, "difficulty": 3.15, "quality_count": 53, "difficulty_count": 53, "profile_id": "rmp:1724937", "source_url": "https://www.ratemyprofessors.com/professor/1724937", "match_basis": "exact_name", "observed_at": "2026-09-07 16:46:07.843889+00:00", "courses": { "course_f316b1c0bcfe1eba601b7ab6": { "review_count": 25, "quality": 4.8, "difficulty": 3.2, "quality_count": 25, "difficulty_count": 25 }, "course_b4995635f02518f77cf89dc2": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_cdb76f98405661d42020c591": { "review_count": 2, "quality": 5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 }, "course_017a664e53519bdfefed2e63": { "review_count": 3, "quality": 5, "difficulty": 3, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 4.429502954396328, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.632, "graded": 2002, "counts": [ 1121, 590, 166, 60, 29, 17, 19 ], "sections": 66 }, "instructor_url": "/instructors/DANIEL_KAPUST--instructor_4a95edf7b7714279b090ce91" }, { "instructor_uid": "instructor_88ac204d096c7fd14a98c1f3", "source": "madgrades", "source_instructor_id": "5910568", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XINZHI ZHAO", "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": 3.792, "graded": 24, "counts": [ 19, 2, 2, 0, 1, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/XINZHI_ZHAO" }, { "instructor_uid": "instructor_372d8a4988a85e9bf618d186", "source": "madgrades", "source_instructor_id": "6191543", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KIRSTIN ANDERSON", "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": 6, "quality": 4.5, "difficulty": 1.5, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:2744325", "source_url": "https://www.ratemyprofessors.com/professor/2744325", "match_basis": "exact_name", "observed_at": "2026-09-07 16:25:42.270573+00:00", "courses": { "course_d36506bb8ebe07b832e1c3a3": { "review_count": 6, "quality": 4.5, "difficulty": 1.5, "quality_count": 6, "difficulty_count": 6 } }, "bayesian_quality": 3.8536044488819963, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.591, "graded": 264, "counts": [ 165, 55, 23, 5, 5, 4, 7 ], "sections": 3 }, "instructor_url": "/instructors/KIRSTIN_ANDERSON" }, { "instructor_uid": "instructor_23e1d67a79a1b9ef40def341", "source": "madgrades", "source_instructor_id": "6219733", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PHILLIP PINELL", "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": 3, "quality": 4.33, "difficulty": 1.67, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2875301", "source_url": "https://www.ratemyprofessors.com/professor/2875301", "match_basis": "exact_name", "observed_at": "2026-09-07 16:11:48.839106+00:00", "courses": {}, "bayesian_quality": 3.7471180726492133, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.762, "graded": 390, "counts": [ 277, 86, 9, 8, 5, 1, 4 ], "sections": 4 }, "instructor_url": "/instructors/PHILLIP_PINELL--instructor_23e1d67a79a1b9ef40def341" }, { "instructor_uid": "instructor_46f37a7c14ad168a8447cf38", "source": "madgrades", "source_instructor_id": "4956243", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NOAH STENGL", "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": 6, "quality": 5, "difficulty": 2.83, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:3059104", "source_url": "https://www.ratemyprofessors.com/professor/3059104", "match_basis": "exact_name", "observed_at": "2026-09-07 16:13:44.582762+00:00", "courses": {}, "bayesian_quality": 3.9689890642666117, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.786, "graded": 288, "counts": [ 223, 39, 16, 4, 2, 0, 4 ], "sections": 9 }, "instructor_url": "/instructors/NOAH_STENGL" }, { "instructor_uid": "instructor_429f6bedcb957d7467b1f00a", "source": "enrollment", "source_instructor_id": "lruiter", "identity_basis": "netid", "identity_status": "source_identified", "name": "Luke Ruiter", "email": "LRUITER@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/LUKE_RUITER" }, { "instructor_uid": "instructor_5c9c913aba8fb74dec1aa5f3", "source": "enrollment", "source_instructor_id": "lachette", "identity_basis": "netid", "identity_status": "source_identified", "name": "Aleisha Lachette", "email": "LACHETTE@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/ALEISHA_LACHETTE" }, { "instructor_uid": "instructor_ee8c0677e76f0439a4a026ab", "source": "enrollment", "source_instructor_id": "nreina", "identity_basis": "netid", "identity_status": "source_identified", "name": "Nicolas Reina", "email": "NREINA@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/NICOLAS_REINA" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ILS/POLISCI 463", "course_uid": "course_b4995635f02518f77cf89dc2", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Daniel Kapust" ], "a": 25, "ab": 15, "b": 4, "bc": 3, "c": 2, "d": 2, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 53, "source_aliases": [ "ILS/POLISCI 463", "POLISCI 463" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ILS/POLISCI 463", "course_uid": "course_b4995635f02518f77cf89dc2", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Daniel Kapust", "XINZHI ZHAO" ], "a": 19, "ab": 2, "b": 2, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 24, "source_aliases": [ "ILS/POLISCI 463", "POLISCI 463" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ILS/POLISCI 463", "course_uid": "course_b4995635f02518f77cf89dc2", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "KIRSTIN ANDERSON" ], "a": 20, "ab": 19, "b": 5, "bc": 1, "c": 2, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 6, "other": 0, "total": 54, "source_aliases": [ "ILS/POLISCI 463", "POLISCI 463" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ILS/POLISCI 463", "course_uid": "course_b4995635f02518f77cf89dc2", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "PHILLIP PINELL" ], "a": 37, "ab": 9, "b": 2, "bc": 0, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 51, "source_aliases": [ "ILS/POLISCI 463", "POLISCI 463" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ILS/POLISCI 463", "course_uid": "course_b4995635f02518f77cf89dc2", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "PHILLIP PINELL" ], "a": 29, "ab": 14, "b": 4, "bc": 0, "c": 0, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 1, "other": 0, "total": 51, "source_aliases": [ "ILS/POLISCI 463", "POLISCI 463" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ILS/POLISCI 463", "course_uid": "course_b4995635f02518f77cf89dc2", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Daniel Kapust" ], "a": 71, "ab": 14, "b": 5, "bc": 2, "c": 0, "d": 2, "f": 0, "satisfactory": 8, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 4, "no_work": 0, "not_reported": 0, "other": 0, "total": 106, "source_aliases": [ "ILS/POLISCI 463", "POLISCI 463" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ILS/POLISCI 463", "course_uid": "course_b4995635f02518f77cf89dc2", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "NOAH STENGL" ], "a": 38, "ab": 10, "b": 1, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 50, "source_aliases": [ "ILS/POLISCI 463", "POLISCI 463" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ILS/POLISCI 463", "course_uid": "course_b4995635f02518f77cf89dc2", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Daniel Kapust" ], "a": 91, "ab": 20, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 8, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 120, "source_aliases": [ "ILS/POLISCI 463" ] } ] ``` ### statistics #### gpa 3.745 #### graded 478 #### counts * 330 * 103 * 24 * 7 * 7 * 6 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_b4995635f02518f77cf89dc2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_b4995635f02518f77cf89dc2-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_b4995635f02518f77cf89dc2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_b4995635f02518f77cf89dc2-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_b4995635f02518f77cf89dc2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_b4995635f02518f77cf89dc2-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_b4995635f02518f77cf89dc2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_b4995635f02518f77cf89dc2-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_b4995635f02518f77cf89dc2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_b4995635f02518f77cf89dc2-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7447698744769875 #### count 478 #### university ##### size 4013 ##### gpa Percentile 50 ##### count Percentile 85 ##### median Count 113 ##### 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 | 247 | false | | 3.2–3.6 | 1026 | false | | 3.6–4.0 | 2726 | true | #### departments ```json [ { "subject": "ILS", "comparison": { "size": 20, "gpaPercentile": 79, "countPercentile": 79, "medianCount": 206, "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": 6, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } }, { "subject": "POLISCI", "comparison": { "size": 88, "gpaPercentile": 78, "countPercentile": 89, "medianCount": 122.5, "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": 34, "current": false }, { "range": "3.6–4.0", "count": 48, "current": true } ] } } ] ``` ### terms #### 1194 ##### term 1194 ##### gpa 3.4901960784313726 ##### count 51 ##### university ###### size 1040 ###### gpa Percentile 47 ###### count Percentile 35 ###### 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": "ILS", "comparison": null }, { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 63, "countPercentile": 37, "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 } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.7916666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | ILS | | | POLISCI | | #### 1232 ##### term 1232 ##### gpa 3.5208333333333335 ##### count 48 ##### university ###### size 1216 ###### gpa Percentile 38 ###### count Percentile 34 ###### 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": "ILS", "comparison": null }, { "subject": "POLISCI", "comparison": { "size": 33, "gpaPercentile": 41, "countPercentile": 34, "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 3.79 ##### count 50 ##### university ###### size 1188 ###### gpa Percentile 68 ###### count Percentile 35 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "ILS", "comparison": null }, { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 78, "countPercentile": 37, "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": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.63265306122449 ##### count 49 ##### university ###### size 1295 ###### gpa Percentile 47 ###### count Percentile 37 ###### 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": "ILS", "comparison": null }, { "subject": "POLISCI", "comparison": { "size": 31, "gpaPercentile": 67, "countPercentile": 43, "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 } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.776595744680851 ##### count 94 ##### university ###### size 1241 ###### gpa Percentile 65 ###### count Percentile 67 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "ILS", "comparison": null }, { "subject": "POLISCI", "comparison": { "size": 31, "gpaPercentile": 77, "countPercentile": 80, "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": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.85 ##### count 50 ##### university ###### size 1333 ###### gpa Percentile 73 ###### count Percentile 35 ###### 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": "ILS", "comparison": null }, { "subject": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 84, "countPercentile": 32, "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 } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.9017857142857144 ##### count 112 ##### university ###### size 1320 ###### gpa Percentile 80 ###### count Percentile 70 ###### 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": "ILS", "comparison": null }, { "subject": "POLISCI", "comparison": { "size": 33, "gpaPercentile": 94, "countPercentile": 75, "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 } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4013 ###### gpa 3.684701245972632 ###### top Share 83.46928181255863 ###### count 113 ##### ILS ###### size 20 ###### gpa 3.6338446908800224 ###### top Share 82.82656815759591 ###### count 206 ##### POLISCI ###### size 88 ###### gpa 3.5817168357106293 ###### top Share 79.89253975060939 ###### count 122.5 #### terms ##### 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 ##### 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 ##### 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 ##### 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_4a95edf7b7714279b090ce91", "name": "DANIEL KAPUST", "count": 281, "terms": [ { "term": "1194", "count": 51, "sections": 1, "gpa": 3.4901960784313726 }, { "term": "1222", "count": 24, "sections": 1, "gpa": 3.7916666666666665 }, { "term": "1244", "count": 94, "sections": 1, "gpa": 3.776595744680851 }, { "term": "1262", "count": 112, "sections": 1, "gpa": 3.9017857142857144 } ] }, { "uid": "instructor_23e1d67a79a1b9ef40def341", "name": "PHILLIP PINELL", "count": 99, "terms": [ { "term": "1234", "count": 50, "sections": 1, "gpa": 3.79 }, { "term": "1242", "count": 49, "sections": 1, "gpa": 3.63265306122449 } ] }, { "uid": "instructor_46f37a7c14ad168a8447cf38", "name": "NOAH STENGL", "count": 50, "terms": [ { "term": "1252", "count": 50, "sections": 1, "gpa": 3.85 } ] }, { "uid": "instructor_372d8a4988a85e9bf618d186", "name": "KIRSTIN ANDERSON", "count": 48, "terms": [ { "term": "1232", "count": 48, "sections": 1, "gpa": 3.5208333333333335 } ] }, { "uid": "instructor_88ac204d096c7fd14a98c1f3", "name": "XINZHI ZHAO", "count": 24, "terms": [ { "term": "1222", "count": 24, "sections": 1, "gpa": 3.7916666666666665 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.763330061021698 ### grades | grade | percentage | | ----- | ------------------ | | A | 68.17780635289346 | | AB | 24.528971480190997 | | B | 4.420962151798389 | | BC | 0.9033423667570009 | | C | 0.7226738934056007 | | D | 0.8037903508286783 | | F | 0.442453404125878 | ### source Terms * 1262 * 1252 * 1242 * 1232 ### source Count 259 ### same Season true ### historical Range * 3.5208333333333335 * 3.9017857142857144