# POLISCI 344: The Russian War on Ukraine: Causes and Consequences | UW–Madison [View on UW Courses](https://uwcourses.com/courses/POLISCI_344) ## 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 0c7b2265e81eaeae2b53478639636d54edbe54741af87def3af314eca6298751 ### course id POLISCI 344 ### course uid course\_205a40e15c6d47a4fc7be5fb ### catalog version id 0b5cbbab0ec9d10478140cbb0a1ff178b8fe024c2215a94c20241afb5bbe3ad4 ### course number 344 ### subjects * POLISCI ### title THE RUSSIAN WAR ON UKRAINE: CAUSES AND CONSEQUENCES ### description Examines causes and consequences of the Russian invasion and war on Ukraine. Analyzes the war using concepts in comparative politics (e.g., regime type, national identity, and domestic politics in Ukraine and Russia) and international relations (e.g., international security, institutions and norms, sanctions and trade, migration and human rights). ### requirements text Sophomore standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 87e349fa5925e5d24edfcf8c9f949c4e16ab54c9db8ab659cacdd36d76e454aa ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary POLISCI 344 examines the causes and consequences of the Russian war on Ukraine using comparative politics and international relations frameworks. ### llm topics * Comparative politics: regime type, national identity, domestic politics * International relations: security, institutions, norms, sanctions, trade, migration, human rights ### llm skills * Analyze the causes and consequences of the Russian war on Ukraine * Apply comparative politics and international relations concepts to conflict analysis ### llm assumed background None recorded. ### llm search phrases * Russian war on Ukraine causes consequences * comparative politics regime type national identity * international relations security institutions sanctions * Ukraine Russia domestic politics war analysis ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 95ae75be4a5fe95f97da1c5617c925c4d9308aa8a9b8b949ba22864862872840 #### course id POLISCI 344 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.18 GPA, 57.0% A/AB (n=79 letter grades); Spring 2025: 3.33 GPA, 70.7% A/AB (n=75 letter grades); Spring 2026: 3.22 GPA, 50.0% A/AB (n=58 letter grades). ```json { "citations": [ { "course_id": "POLISCI 344", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f88de8c3-bff0-35e8-bfff-5237406e0008", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "POLISCI 344", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f88de8c3-bff0-35e8-bfff-5237406e0008", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "POLISCI 344", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": 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"course_id": "POLISCI 344", "course_uid": "course_205a40e15c6d47a4fc7be5fb", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Yoshiko Herrera" ], "a": 25, "ab": 20, "b": 17, "bc": 7, "c": 5, "d": 3, "f": 2, "satisfactory": 16, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 95, "source_aliases": [ "POLISCI 344" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 344", "course_uid": "course_205a40e15c6d47a4fc7be5fb", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Yoshiko Herrera" ], "a": 24, "ab": 29, "b": 12, "bc": 5, "c": 1, "d": 2, "f": 2, "satisfactory": 15, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 90, "source_aliases": [ "POLISCI 344" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 344", "course_uid": "course_205a40e15c6d47a4fc7be5fb", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Yoshiko Herrera" ], "a": 8, "ab": 21, "b": 18, "bc": 10, "c": 1, "d": 0, "f": 0, "satisfactory": 12, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 71, "source_aliases": [ "POLISCI 344" ] } ] ``` ### statistics #### gpa 3.245 #### graded 212 #### counts * 57 * 70 * 47 * 22 * 7 * 5 * 4 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_205a40e15c6d47a4fc7be5fb-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_205a40e15c6d47a4fc7be5fb-0.json) #### traces * 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departments ```json [ { "subject": "POLISCI", "comparison": { "size": 60, "gpaPercentile": 8, "countPercentile": 86, "medianCount": 86, "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": 22, "current": true }, { "range": "3.6–4.0", "count": 37, "current": false } ] } } ] ``` ### terms #### 1244 ##### term 1244 ##### gpa 3.1835443037974684 ##### count 79 ##### university ###### size 1241 ###### gpa Percentile 13 ###### count Percentile 58 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | true | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 31, "gpaPercentile": 7, "countPercentile": 70, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.3333333333333335 ##### count 75 ##### university ###### size 1289 ###### gpa Percentile 19 ###### count Percentile 55 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 13, "countPercentile": 61, "medianCount": 55.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 23, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.2155172413793105 ##### count 58 ##### university ###### size 1283 ###### gpa Percentile 13 ###### count Percentile 43 ###### 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 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 30, "gpaPercentile": 3, "countPercentile": 41, "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": true }, { "range": "3.6–4.0", "count": 22, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 2411 ###### gpa 3.6770271983084943 ###### top Share 83.11222705251026 ###### count 90 ##### POLISCI ###### size 60 ###### gpa 3.6269734574528303 ###### top Share 82.07656033628407 ###### count 86 #### terms ##### 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_1e04b479c5405ff672a3649e", "name": "YOSHIKO HERRERA", "count": 212, "terms": [ { "term": "1244", "count": 79, "sections": 1, "gpa": 3.1835443037974684 }, { "term": "1254", "count": 75, "sections": 1, "gpa": 3.3333333333333335 }, { "term": "1264", "count": 58, "sections": 1, "gpa": 3.2155172413793105 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.24575912396572 ### grades | grade | percentage | | ----- | ------------------ | | A | 24.445191805425363 | | AB | 34.1568694797652 | | B | 23.609276498915925 | | BC | 11.576065049027674 | | C | 2.803867831595719 | | D | 1.8703742131839247 | | F | 1.5383551220861869 | ### source Terms * 1264 * 1254 * 1244 ### source Count 212 ### same Season false ### historical Range * 3.1835443037974684 * 3.3333333333333335