# ASIANAM/ENGL 465: Asian American Poetry | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ASIANAM_ENGL_465) ## 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 c1ca463af5502740d4b88e01d3c795c373c17a19fb2bb48feda216c95657d3fc ### course id ASIANAM/ENGL 465 ### course uid course\_4ddde7aaa71781add45648ec ### catalog version id a242cf8aaab70b2bc52340aa677cd9b6fca639f72d2f8e38b0a5a18ec54bb337 ### course number 465 ### subjects * ASIANAM * ENGL ### title ASIAN AMERICAN POETRY ### description Throughout the history of Asian America, poetry has been a vehicle for the creation and exploration of an Asian American voice; in poetry we can see the continuing struggle over what form Asian American expression will take. Will it follow Asian or European models? Will it employ traditional forms, or experiment in search of new styles? Will it be individual or collective, introspective or political? We will explore these questions through a study of a wide range of Asian American poets from a variety of historical periods and ethnicities, including Janice Mirikitani, Lawson Fusao Inada, Li-Young Lee, John Yau, Myung Mi Kim, and Linh Dinh. ### requirements text Sophomore standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 082156a42cdadd0d62b28b3fedbe4f65206942e08ce4945f988a683b9c1d6cb1 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ASIAN AMERICAN POETRY explores the creation and exploration of Asian American voice through a study of poets from various historical periods and ethnicities. ### llm topics * Forms of Asian American expression (Asian vs. European models, traditional vs. new styles) * Individual vs. collective and introspective vs. political themes in poetry * Historical periods and ethnicities in Asian American poetry ### llm skills * Analysis of poetic forms and expression in Asian American literature ### llm assumed background None recorded. ### llm search phrases * Asian American poetry history * Asian American literary voice * Asian American poets Janice Mirikitani * Asian American poetry forms styles ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 0ecbfeb2dea0bb495980a453d84be492b529857439b8d83efabb5927e356e727 #### course id ASIANAM/ENGL 465 #### 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 672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90 #### quick take Recent recorded grades — Fall 2019: 3.78 GPA, 91.2% A/AB (n=34 letter grades); Fall 2021: 3.76 GPA, 100.0% A/AB (n=31 letter grades); Fall 2023: 4.00 GPA, 100.0% A/AB (n=24 letter grades). ```json { "citations": [ { "course_id": "ASIANAM/ENGL 465", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0b30c6a6-53d3-39d3-9dc0-beecaf7b4590", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "ASIANAM/ENGL 465", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0b30c6a6-53d3-39d3-9dc0-beecaf7b4590", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ASIANAM/ENGL 465", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0b30c6a6-53d3-39d3-9dc0-beecaf7b4590", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Sophomore standing", "course": null, "evidence": "Sophomore standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_ce4bf60e2cfa11c4a2f64231", "source": "madgrades", "source_instructor_id": "4695471", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TIMOTHY YU", "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": 52, "quality": 4.52, "difficulty": 2.31, "quality_count": 52, "difficulty_count": 52, "profile_id": "rmp:1369906", "source_url": "https://www.ratemyprofessors.com/professor/1369906", "match_basis": "exact_name", "observed_at": "2026-09-07 16:01:35.121541+00:00", "courses": { "course_c26084987c09ded78669ea8a": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_b595f3058a568c65f305aafb": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_8f096a8399ca0f14028e8db3": { "review_count": 2, "quality": 5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 }, "course_b555a7102a6fea4ba77b57e2": { "review_count": 3, "quality": 4.33, "difficulty": 2, "quality_count": 3, "difficulty_count": 3 }, "course_5af17c9a31f0c0a768b125aa": { "review_count": 2, "quality": 4.5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 }, "course_00b9547d2a6067110f767c86": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 4.281023828762943, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.655, "graded": 3287, "counts": [ 1910, 883, 314, 96, 44, 12, 28 ], "sections": 56 }, "instructor_url": "/instructors/TIMOTHY_YU--instructor_ce4bf60e2cfa11c4a2f64231" }, { "instructor_uid": "instructor_fb82e86c8fd2b9d1352ccf85", "source": "madgrades", "source_instructor_id": "6586557", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PAUL TRAN", "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": 3.928, "graded": 265, "counts": [ 251, 0, 12, 0, 0, 1, 1 ], "sections": 13 }, "instructor_url": "/instructors/PAUL_TRAN--instructor_fb82e86c8fd2b9d1352ccf85" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/ENGL 465", "course_uid": "course_4ddde7aaa71781add45648ec", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Timothy Yu" ], "a": 22, "ab": 9, "b": 3, "bc": 0, "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": 34, "source_aliases": [ "ASIANAM/ENGL 465" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/ENGL 465", "course_uid": "course_4ddde7aaa71781add45648ec", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Timothy Yu" ], "a": 16, "ab": 15, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 33, "source_aliases": [ "ASIANAM/ENGL 465" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIANAM/ENGL 465", "course_uid": "course_4ddde7aaa71781add45648ec", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Paul Tran" ], "a": 24, "ab": 0, "b": 0, "bc": 0, "c": 0, "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": 25, "source_aliases": [ "ASIANAM/ENGL 465" ] } ] ``` ### statistics #### gpa 3.831 #### graded 89 #### counts * 62 * 24 * 3 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_4ddde7aaa71781add45648ec-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_4ddde7aaa71781add45648ec-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_4ddde7aaa71781add45648ec-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_4ddde7aaa71781add45648ec-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_4ddde7aaa71781add45648ec-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_4ddde7aaa71781add45648ec-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.831460674157303 #### count 89 #### university ##### size 2273 ##### gpa Percentile 67 ##### count Percentile 50 ##### median Count 87 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 214 | false | | 3.2–3.6 | 643 | false | | 3.6–4.0 | 1406 | true | #### departments ```json [ { "subject": "ASIANAM", "comparison": { "size": 12, "gpaPercentile": 91, "countPercentile": 36, "medianCount": 121, "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": 4, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } }, { "subject": "ENGL", "comparison": { "size": 59, "gpaPercentile": 62, "countPercentile": 57, "medianCount": 76, "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": 11, "current": false }, { "range": "3.6–4.0", "count": 47, "current": true } ] } } ] ``` ### terms #### 1202 ##### term 1202 ##### gpa 3.7794117647058822 ##### count 34 ##### university ###### size 1102 ###### gpa Percentile 74 ###### count Percentile 9 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "ENGL", "comparison": { "size": 25, "gpaPercentile": 63, "countPercentile": 4, "medianCount": 71, "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": 16, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.7580645161290325 ##### count 31 ##### university ###### size 1157 ###### gpa Percentile 65 ###### count Percentile 3 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "ASIANAM", "comparison": null }, { "subject": "ENGL", "comparison": { "size": 26, "gpaPercentile": 44, "countPercentile": 8, "medianCount": 92.5, "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": 6, "current": false }, { "range": "3.6–4.0", "count": 20, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 4 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | ASIANAM | | | ENGL | | ### benchmarks #### all ##### school ###### size 2273 ###### gpa 3.6403587525650907 ###### top Share 80.9743302283955 ###### count 87 ##### ASIANAM ###### size 12 ###### gpa 3.6051415225610484 ###### top Share 82.29320289071289 ###### count 121 ##### ENGL ###### size 59 ###### gpa 3.732743820153231 ###### top Share 87.03109605573657 ###### count 76 #### terms ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### ENGL ###### size 25 ###### gpa 3.6549111926017694 ###### top Share 83.84628493839764 ###### count 71 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### ENGL ###### size 26 ###### gpa 3.7349251314414733 ###### top Share 88.92488520539345 ###### count 92.5 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### ENGL ###### size 29 ###### gpa 3.735466864863233 ###### top Share 87.95124576771664 ###### count 70 ## instructor Trends ```json [ { "uid": "instructor_ce4bf60e2cfa11c4a2f64231", "name": "TIMOTHY YU", "count": 65, "terms": [ { "term": "1202", "count": 34, "sections": 1, "gpa": 3.7794117647058822 }, { "term": "1222", "count": 31, "sections": 1, "gpa": 3.7580645161290325 } ] }, { "uid": "instructor_fb82e86c8fd2b9d1352ccf85", "name": "PAUL TRAN", "count": 24, "terms": [ { "term": "1242", "count": 24, "sections": 1, "gpa": 4 } ] } ] ``` ## following None recorded.