# POLISCI 348: Analysis of International Relations | UW–Madison [View on UW Courses](https://uwcourses.com/courses/POLISCI_348) ## 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 f616140d1bc7f57cec243ca9fbe2be86bb6e6d0651d74b8bdc3faed3b945cbef ### course id POLISCI 348 ### course uid course\_d3d71a4ff1544172c0550179 ### catalog version id 22872d1f6e9959e3871b98b621de63fbf79b2d424099c45db712676756025815 ### course number 348 ### subjects * POLISCI ### title ANALYSIS OF INTERNATIONAL RELATIONS ### description Focuses on how to analyze problems in international politics by the use of game theory. Examples include governments making choices about the size of their military forces, barriers to trade, or international agreements on environmental issues. Analysts study strategic interaction using both informal and mathematical methods. Provides a good introduction to the basics of game theory -- a tool useful in many different settings -- as well as an introduction to the study of world politics. From the perspective of quantitative reasoning, one of the most important set of lessons center on the logic of strategic interaction and the notion of equilibrium. Along with basic game theory students will also be introduced to the pragmatic use of mathematical tools including algebra, set theory, functions, and probability theory. Not open to students with credit for POLI SCI 376 prior to fall 2017 ### requirements text Satisfied Quantitative Reasoning (QR) A and (POLI SCI 140orINTL ST 101) or (POLI SCI 103 taken prior to Fall 2017) ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 3d2e534def0aa5001845444a2ea635eee11f041d64d422ad4a9d14037b2d5715 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary POLISCI 348 teaches the analysis of international relations problems using game theory and quantitative methods. ### llm topics * Military force size, trade barriers, environmental agreements * Basics of game theory * Logic of strategic interaction and equilibrium * Algebra, set theory, functions, and probability theory ### llm skills * Analyze problems in international politics using game theory * Study strategic interaction using informal and mathematical methods * Understand the logic of strategic interaction and equilibrium * Apply algebra, set theory, functions, and probability theory ### llm assumed background * Mathematical tools including algebra, set theory, functions, and probability theory * Basics of game theory * International relations or international studies fundamentals ### llm search phrases * game theory international politics * quantitative reasoning international relations * strategic interaction analysis * POLISCI 348 course description ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash ac48e1c0064ee486e653857898105ae4c2c13fa84b5a347a872a7def954f56f8 #### course id POLISCI 348 #### current instructors None recorded. #### difficulty workload Historical reviews of Andrew Kydd, Lisa Martin: Assignments rely heavily on problem sets and online exams. Cited reviewers note that starting work early is crucial, as the material often requires outside resources or TA assistance to complete successfully. ```json { "citations": [ { "instructor_name": "Lisa Martin", "review_date": "2020-04-30 18:24:34 +0000 UTC", "review_id": "9190de0265fce4fa821f6f69", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTMzMTY3NjA5", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Andrew Kydd", "review_date": "2021-12-15 01:08:58 +0000 UTC", "review_id": "a1a1d72f06b844298c3a5bc9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1043300", "source_review_id": "UmF0aW5nLTM1NTI4MzAz", "source_url": "https://www.ratemyprofessors.com/professor/1043300", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2022-09-29 00:30:20 +0000 UTC", "review_id": "4cae23f558794ecac382f6f8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTM2NjY2Nzg5", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-03-18 22:13:54 +0000 UTC", "review_id": "3252b347f6fc4c2020a8a8a0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQwNzg2MTIw", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-05-02 02:19:43 +0000 UTC", "review_id": "4d47443937d19d1a4344fd5c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQxMTI5MTE2", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-05-08 15:20:14 +0000 UTC", "review_id": "2387531bcdd22aef20003e32", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQxMjEwNDYx", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-05-19 20:59:45 +0000 UTC", "review_id": "c4ed81f4feef424b84732f9a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQxMzI0MzM3", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Lisa Martin: Lisa Martin teaches this course with mixed results. Some students find her lectures confusing, fast-paced, or disconnected from assignments, while others appreciate her clarity and knowledge. Success often depends on utilizing TAs and outside resources rather than relying solely on lectures. ```json { "citations": [ { "instructor_name": "Lisa Martin", "review_date": "2019-01-01 18:40:19 +0000 UTC", "review_id": "68573bb7c8940c4a0f04d1ce", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTMxMTgzMTky", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2020-04-30 18:24:34 +0000 UTC", "review_id": "9190de0265fce4fa821f6f69", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTMzMTY3NjA5", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2021-04-06 20:33:16 +0000 UTC", "review_id": "2d9fdeaf739bc46133077126", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTM0NTEzNzI5", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2022-09-29 00:30:20 +0000 UTC", "review_id": "4cae23f558794ecac382f6f8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTM2NjY2Nzg5", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2022-12-14 00:15:40 +0000 UTC", "review_id": "4ef13df86adf5d626c336ef7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTM3MTA1OTE2", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-03-18 22:13:54 +0000 UTC", "review_id": "3252b347f6fc4c2020a8a8a0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQwNzg2MTIw", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-04-30 15:49:08 +0000 UTC", "review_id": "030e910dd4b61bd630a5c1ae", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQxMTAwNTIw", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-05-02 02:19:43 +0000 UTC", "review_id": "4d47443937d19d1a4344fd5c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQxMTI5MTE2", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-05-08 15:20:14 +0000 UTC", "review_id": "2387531bcdd22aef20003e32", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQxMjEwNDYx", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-05-19 20:59:45 +0000 UTC", "review_id": "c4ed81f4feef424b84732f9a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQxMzI0MzM3", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews of Lisa Martin: Lisa Martin teaches this course, with reviews describing her lectures as either clear or confusing. Cited students report varying experiences, noting that success often depends on utilizing discussion sections and TA support. ```json { "citations": [ { "instructor_name": "Lisa Martin", "review_date": "2019-01-01 18:40:19 +0000 UTC", "review_id": "68573bb7c8940c4a0f04d1ce", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTMxMTgzMTky", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2020-04-30 18:24:34 +0000 UTC", "review_id": "9190de0265fce4fa821f6f69", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTMzMTY3NjA5", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2022-12-14 00:15:40 +0000 UTC", "review_id": "4ef13df86adf5d626c336ef7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTM3MTA1OTE2", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-04-30 15:49:08 +0000 UTC", "review_id": "030e910dd4b61bd630a5c1ae", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQxMTAwNTIw", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-05-02 02:19:43 +0000 UTC", "review_id": "4d47443937d19d1a4344fd5c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQxMTI5MTE2", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-05-08 15:20:14 +0000 UTC", "review_id": "2387531bcdd22aef20003e32", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQxMjEwNDYx", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-05-19 20:59:45 +0000 UTC", "review_id": "c4ed81f4feef424b84732f9a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQxMzI0MzM3", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" } ] } ``` Recent recorded grades — Spring 2024: 3.50 GPA, 80.6% A/AB (n=93 letter grades); Spring 2025: 3.75 GPA, 87.1% A/AB (n=93 letter grades); Spring 2026: 3.72 GPA, 84.0% A/AB (n=100 letter grades). ```json { "citations": [ { "course_id": "POLISCI 348", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "13e113df-ee1e-306e-9799-a2f4203963da", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "POLISCI 348", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "13e113df-ee1e-306e-9799-a2f4203963da", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "POLISCI 348", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "13e113df-ee1e-306e-9799-a2f4203963da", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Lisa Martin: Cited reviewers describe lectures as less useful than discussion sections and TA office hours. They emphasize that engaging with TAs and problem sets is more effective than relying solely on lecture content. ```json { "citations": [ { "instructor_name": "Lisa Martin", "review_date": "2025-04-30 15:49:08 +0000 UTC", "review_id": "030e910dd4b61bd630a5c1ae", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQxMTAwNTIw", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-05-02 02:19:43 +0000 UTC", "review_id": "4d47443937d19d1a4344fd5c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQxMTI5MTE2", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-05-08 15:20:14 +0000 UTC", "review_id": "2387531bcdd22aef20003e32", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQxMjEwNDYx", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" }, { "instructor_name": "Lisa Martin", "review_date": "2025-05-19 20:59:45 +0000 UTC", "review_id": "c4ed81f4feef424b84732f9a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1191272", "source_review_id": "UmF0aW5nLTQxMzI0MzM3", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ANDREW KYDD is recorded teaching in Fall 2021. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "POLISCI 348", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "13e113df-ee1e-306e-9799-a2f4203963da", "source_record": { "entity_id": "13e113df-ee1e-306e-9799-a2f4203963da", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" } ] } ``` LISA MARTIN is recorded teaching in Fall 2017, Spring 2020, Spring 2022, Fall 2022, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "POLISCI 348", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "13e113df-ee1e-306e-9799-a2f4203963da", "source_record": { "entity_id": "13e113df-ee1e-306e-9799-a2f4203963da", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "POLISCI 348", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "13e113df-ee1e-306e-9799-a2f4203963da", "source_record": { "entity_id": "13e113df-ee1e-306e-9799-a2f4203963da", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "POLISCI 348", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "13e113df-ee1e-306e-9799-a2f4203963da", "source_record": { "entity_id": "13e113df-ee1e-306e-9799-a2f4203963da", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "POLISCI 348", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "13e113df-ee1e-306e-9799-a2f4203963da", "source_record": { "entity_id": "13e113df-ee1e-306e-9799-a2f4203963da", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "POLISCI 348", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "13e113df-ee1e-306e-9799-a2f4203963da", "source_record": { "entity_id": "13e113df-ee1e-306e-9799-a2f4203963da", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "POLISCI 348", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "13e113df-ee1e-306e-9799-a2f4203963da", "source_record": { "entity_id": "13e113df-ee1e-306e-9799-a2f4203963da", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "POLISCI 348", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "13e113df-ee1e-306e-9799-a2f4203963da", "source_record": { "entity_id": "13e113df-ee1e-306e-9799-a2f4203963da", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n5" ], "condition": null, "course": null, "evidence": "Satisfied Quantitative Reasoning (QR) A and (POLI SCI 140orINTL ST 101) or (POLI SCI 103 taken prior to Fall 2017)", "id": "n0", "kind": "any" }, { "children": [ "n2", "n3" ], "condition": null, "course": null, "evidence": "Satisfied Quantitative Reasoning (QR) A and (POLI SCI 140orINTL ST 101)", "id": "n1", "kind": "all" }, { "children": [ "n4", "n6" ], "condition": null, "course": null, "evidence": "Satisfied Quantitative Reasoning (QR) A", "id": "n2", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 101, "minimum_grade": null, "subjects": [ "INTLST" ], "timing": "prior" }, "evidence": "INTL ST 101", "id": "n3", "kind": "course" }, { "children": [], "condition": "Satisfied Quantitative Reasoning (QR) A", "course": null, "evidence": "Satisfied Quantitative Reasoning (QR) A", "id": "n4", "kind": "condition" }, { "children": [], "condition": "POLI SCI 103 taken prior to Fall 2017", "course": null, "evidence": "POLI SCI 103 taken prior to Fall 2017", "id": "n5", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 140, "minimum_grade": null, "subjects": [ "POLISCI" ], "timing": "prior" }, "evidence": "POLI SCI 140", "id": "n6", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_f5f79af50af5982383d95f28", "source": "madgrades", "source_instructor_id": "4530793", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LISA MARTIN", "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": 69, "quality": 3.38, "difficulty": 2.23, "quality_count": 69, "difficulty_count": 69, "profile_id": "rmp:1191272", "source_url": "https://www.ratemyprofessors.com/professor/1191272", "match_basis": "exact_name", "observed_at": "2026-09-07 16:22:59.243493+00:00", "courses": { "course_d3d71a4ff1544172c0550179": { "review_count": 11, "quality": 2.36, "difficulty": 3.73, "quality_count": 11, "difficulty_count": 11 }, "course_712a04eb5aea94dff92a92bf": { "review_count": 1, "quality": 3, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.4428507378756392, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.571, "graded": 1015, "counts": [ 589, 205, 121, 50, 24, 15, 11 ], "sections": 61 }, "instructor_url": "/instructors/LISA_MARTIN--instructor_f5f79af50af5982383d95f28" }, { "instructor_uid": "instructor_61f4fa6eac8a11f80b385c14", "source": "madgrades", "source_instructor_id": "4731877", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SUSANNE MUELLER", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 2, "quality": 3, "difficulty": 4, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2417689", "source_url": "https://www.ratemyprofessors.com/professor/2417689", "match_basis": "exact_name", "observed_at": "2026-09-07 16:04:09.042141+00:00", "courses": {}, "bayesian_quality": 3.5997143486787233, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.971, "graded": 238, "counts": [ 58, 55, 48, 29, 27, 12, 9 ], "sections": 3 }, "instructor_url": "/instructors/SUSANNE_MUELLER" }, { "instructor_uid": "instructor_4763e87370d856ad424f4a1e", "source": "madgrades", "source_instructor_id": "4308518", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANDREW KYDD", "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": 43, "quality": 3.26, "difficulty": 3.47, "quality_count": 43, "difficulty_count": 43, "profile_id": "rmp:1043300", "source_url": "https://www.ratemyprofessors.com/professor/1043300", "match_basis": "exact_name", "observed_at": "2026-09-07 16:55:25.462971+00:00", "courses": { "course_b618f3b6fddfe8f0d46b0296": { "review_count": 4, "quality": 2, "difficulty": 2.5, "quality_count": 4, "difficulty_count": 4 }, "course_06dafc75d411dce45dc57976": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_d3d71a4ff1544172c0550179": { "review_count": 1, "quality": 3, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.3868843757290774, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.302, "graded": 2523, "counts": [ 849, 754, 458, 227, 154, 46, 35 ], "sections": 99 }, "instructor_url": "/instructors/ANDREW_KYDD--instructor_4763e87370d856ad424f4a1e" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 348", "course_uid": "course_d3d71a4ff1544172c0550179", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Lisa Martin" ], "a": 18, "ab": 20, "b": 25, "bc": 18, "c": 9, "d": 6, "f": 4, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 100, "source_aliases": [ "POLISCI 348" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 348", "course_uid": "course_d3d71a4ff1544172c0550179", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "SUSANNE MUELLER" ], "a": 12, "ab": 15, "b": 12, "bc": 1, "c": 6, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 49, "source_aliases": [ "POLISCI 348" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 348", "course_uid": "course_d3d71a4ff1544172c0550179", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "SUSANNE MUELLER" ], "a": 28, "ab": 18, "b": 22, "bc": 11, "c": 8, "d": 1, "f": 6, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 96, "source_aliases": [ "POLISCI 348" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 348", "course_uid": "course_d3d71a4ff1544172c0550179", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "SUSANNE MUELLER" ], "a": 18, "ab": 22, "b": 14, "bc": 17, "c": 13, "d": 8, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 95, "source_aliases": [ "POLISCI 348" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 348", "course_uid": "course_d3d71a4ff1544172c0550179", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Lisa Martin" ], "a": 52, "ab": 24, "b": 7, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 12, "unsatisfactory": 1, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 98, "source_aliases": [ "POLISCI 348" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 348", "course_uid": "course_d3d71a4ff1544172c0550179", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Andrew Kydd" ], "a": 15, "ab": 19, "b": 16, "bc": 14, "c": 16, "d": 4, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 86, "source_aliases": [ "POLISCI 348" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 348", "course_uid": "course_d3d71a4ff1544172c0550179", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Lisa Martin" ], "a": 39, "ab": 11, "b": 14, "bc": 5, "c": 1, "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": 71, "source_aliases": [ "POLISCI 348" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 348", "course_uid": "course_d3d71a4ff1544172c0550179", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Lisa Martin" ], "a": 45, "ab": 17, "b": 14, "bc": 6, "c": 3, "d": 4, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 91, "source_aliases": [ "POLISCI 348" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 348", "course_uid": "course_d3d71a4ff1544172c0550179", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Lisa Martin" ], "a": 53, "ab": 22, "b": 8, "bc": 1, "c": 4, "d": 2, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 93, "source_aliases": [ "POLISCI 348" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 348", "course_uid": "course_d3d71a4ff1544172c0550179", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Lisa Martin" ], "a": 67, "ab": 14, "b": 10, "bc": 0, "c": 1, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 93, "source_aliases": [ "POLISCI 348" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 348", "course_uid": "course_d3d71a4ff1544172c0550179", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Lisa Martin" ], "a": 72, "ab": 12, "b": 9, "bc": 4, "c": 2, "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": 100, "source_aliases": [ "POLISCI 348" ] } ] ``` ### statistics #### gpa 3.304 #### graded 957 #### counts * 419 * 194 * 151 * 79 * 63 * 30 * 21 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_d3d71a4ff1544172c0550179-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_d3d71a4ff1544172c0550179-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d3d71a4ff1544172c0550179-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d3d71a4ff1544172c0550179-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_d3d71a4ff1544172c0550179-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_d3d71a4ff1544172c0550179-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_d3d71a4ff1544172c0550179-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_d3d71a4ff1544172c0550179-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.3035527690700106 #### count 957 #### university ##### size 4444 ##### gpa Percentile 11 ##### count Percentile 93 ##### median Count 125 ##### 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 | 278 | false | | 3.2–3.6 | 1161 | true | | 3.6–4.0 | 2993 | false | #### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 96, "gpaPercentile": 16, "countPercentile": 94, "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": 43, "current": false } ] } } ] ``` ### terms #### 1182 ##### term 1182 ##### gpa 2.86 ##### count 100 ##### university ###### size 1025 ###### gpa Percentile 3 ###### count Percentile 68 ###### 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 | true | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 27, "gpaPercentile": 0, "countPercentile": 73, "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": true }, { "range": "3.2–3.6", "count": 18, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.142857142857143 ##### count 49 ##### university ###### size 1010 ###### gpa Percentile 20 ###### count Percentile 33 ###### 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 | true | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 15, "countPercentile": 33, "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": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.0372340425531914 ##### count 94 ##### university ###### size 1077 ###### gpa Percentile 11 ###### count Percentile 65 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | true | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 24, "gpaPercentile": 4, "countPercentile": 61, "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": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 2.8157894736842106 ##### count 95 ##### university ###### size 1040 ###### gpa Percentile 2 ###### count Percentile 67 ###### 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 | true | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 0, "countPercentile": 70, "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": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.7411764705882353 ##### count 85 ##### university ###### size 1012 ###### gpa Percentile 50 ###### count Percentile 62 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 29, "gpaPercentile": 75, "countPercentile": 75, "medianCount": 59, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 2.854651162790698 ##### count 86 ##### university ###### size 1157 ###### gpa Percentile 2 ###### count Percentile 59 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | true | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 3, "countPercentile": 68, "medianCount": 50.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 5, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 15, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.5492957746478875 ##### count 71 ##### university ###### size 1171 ###### gpa Percentile 43 ###### count Percentile 55 ###### 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": 52, "countPercentile": 56, "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 3.368131868131868 ##### count 91 ##### university ###### size 1216 ###### gpa Percentile 26 ###### count Percentile 63 ###### 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": 19, "countPercentile": 63, "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 } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.5 ##### count 93 ##### university ###### size 1241 ###### gpa Percentile 33 ###### count Percentile 66 ###### 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 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 31, "gpaPercentile": 40, "countPercentile": 73, "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": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.752688172043011 ##### count 93 ##### university ###### size 1289 ###### gpa Percentile 59 ###### count Percentile 67 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 61, "countPercentile": 71, "medianCount": 55.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 23, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.72 ##### count 100 ##### university ###### size 1283 ###### gpa Percentile 53 ###### count Percentile 70 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 30, "gpaPercentile": 62, "countPercentile": 79, "medianCount": 63.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4444 ###### gpa 3.6827572576743646 ###### top Share 83.36976142404737 ###### count 125 ##### POLISCI ###### size 96 ###### gpa 3.554761720264251 ###### top Share 78.03029099089261 ###### 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 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### POLISCI ###### size 29 ###### gpa 3.6515292898120917 ###### top Share 84.42435417336284 ###### count 59 ##### 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 ##### 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 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### POLISCI ###### size 30 ###### gpa 3.64488187596396 ###### top Share 82.45733464244728 ###### count 63.5 ## instructor Trends ```json [ { "uid": "instructor_f5f79af50af5982383d95f28", "name": "LISA MARTIN", "count": 633, "terms": [ { "term": "1182", "count": 100, "sections": 1, "gpa": 2.86 }, { "term": "1204", "count": 85, "sections": 1, "gpa": 3.7411764705882353 }, { "term": "1224", "count": 71, "sections": 1, "gpa": 3.5492957746478875 }, { "term": "1232", "count": 91, "sections": 1, "gpa": 3.368131868131868 }, { "term": "1244", "count": 93, "sections": 1, "gpa": 3.5 }, { "term": "1254", "count": 93, "sections": 1, "gpa": 3.752688172043011 }, { "term": "1264", "count": 100, "sections": 1, "gpa": 3.72 } ] }, { "uid": "instructor_61f4fa6eac8a11f80b385c14", "name": "SUSANNE MUELLER", "count": 238, "terms": [ { "term": "1184", "count": 49, "sections": 1, "gpa": 3.142857142857143 }, { "term": "1192", "count": 94, "sections": 1, "gpa": 3.0372340425531914 }, { "term": "1194", "count": 95, "sections": 1, "gpa": 2.8157894736842106 } ] }, { "uid": "instructor_4763e87370d856ad424f4a1e", "name": "ANDREW KYDD", "count": 86, "terms": [ { "term": "1222", "count": 86, "sections": 1, "gpa": 2.854651162790698 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.4744694821644986 ### grades | grade | percentage | | ----- | ------------------ | | A | 55.34929478800412 | | AB | 17.473606576892493 | | B | 13.056140248516868 | | BC | 5.518480754898106 | | C | 4.804275815226419 | | D | 2.3189717820609457 | | F | 1.4792300344010463 | ### source Terms * 1264 * 1254 * 1244 * 1232 * 1224 * 1222 ### source Count 534 ### same Season false ### historical Range * 2.854651162790698 * 3.752688172043011