# ASIAN 351: Survey of Classical Chinese Literature | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ASIAN_351) ## 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 537d52ba1f6405ea8a75518d8675cf7cecb08be89f19a8a0d0f038cf26dc6978 ### course id ASIAN 351 ### course uid course\_d9d01837efd764723fdb0020 ### catalog version id 4931239e30914b1224b460e22806f04ae0c566bb66091a2cdb5ed202dc3bd7e7 ### course number 351 ### subjects * ASIAN ### title SURVEY OF CLASSICAL CHINESE LITERATURE ### description A critical introduction to the literature of China from early texts through the late imperial period. Works include poetry, prose, fiction and drama. Not open to students who completed E ASIAN 351 prior to Fall 2019. ### requirements text ASIALANG 102(or E ASIAN 102 prior to Fall 2019), placement intoASIALANG 201, or graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:185:005415 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id f64312b38dc5112bea2a64b3253dd052d16cb6b8e7728b126e1ee56076427ad3 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary A critical introduction to Chinese literature from early texts through the late imperial period. ### llm topics * Poetry, prose, fiction, and drama ### llm skills None recorded. ### llm assumed background * Completion of ASIALANG 102, placement into ASIALANG 201, or graduate/professional standing. ### llm search phrases * classical Chinese literature survey * Chinese poetry prose fiction drama * imperial period Chinese texts ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash f00f3947279e92e6151578df8cd54ef5cdeb317876a6f04b88817a4fe48277c2 #### course id ASIAN 351 #### current instructors ```json [ { "instructor_uid": "instructor_df082022dfaef7ef374e6961", "message": "No course-specific reviews available", "name": "Xiuyuan Mi", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "ASIAN 351", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0cd76a37-abce-39df-9409-d4f9536ccf91", "source_record": { "entity_id": "0cd76a37-abce-39df-9409-d4f9536ccf91", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.09 GPA, 50.0% A/AB (n=22 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90 #### quick take Recent recorded grades — Fall 2021: 3.71 GPA, 87.5% A/AB (n=24 letter grades); Fall 2023: 3.72 GPA, 85.4% A/AB (n=41 letter grades); Fall 2025: 3.09 GPA, 50.0% A/AB (n=22 letter grades). ```json { "citations": [ { "course_id": "ASIAN 351", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0cd76a37-abce-39df-9409-d4f9536ccf91", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ASIAN 351", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0cd76a37-abce-39df-9409-d4f9536ccf91", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ASIAN 351", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0cd76a37-abce-39df-9409-d4f9536ccf91", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history XIUYUAN MI is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ASIAN 351", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0cd76a37-abce-39df-9409-d4f9536ccf91", "source_record": { "entity_id": "0cd76a37-abce-39df-9409-d4f9536ccf91", "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": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "ASIALANG 102(or E ASIAN 102 prior to Fall 2019), placement intoASIALANG 201, or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 102, "minimum_grade": null, "subjects": [ "ASIALANG" ], "timing": "prior" }, "evidence": "ASIALANG 102", "id": "n1", "kind": "course" }, { "children": [], "condition": "placement intoASIALANG 201", "course": null, "evidence": "placement intoASIALANG 201", "id": "n2", "kind": "condition" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n3", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ---------- | ------------- | -------------------------------- | -------------------------------- | ------------------------ | | instructor\_df082022dfaef7ef374e6961 | enrollment | mi8 | netid | source\_identified | Xiuyuan Mi | MI8\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/XIUYUAN\_MI | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:185:005415", "course_id": "ASIAN 351", "course_uid": "course_d9d01837efd764723fdb0020", "term_id": "1272", "source_course_id": "005415", "source_subject_id": "185", "title": "Survey of Classical Chinese Literature", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:34378", "term_id": "1272", "source_section_id": "34378", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 100, "enrolled": 12, "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_470df2297e416ab9117fb692", "source": "madgrades", "source_instructor_id": "245378", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RANIA HUNTINGTON", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 25, "quality": 4.04, "difficulty": 2.48, "quality_count": 25, "difficulty_count": 25, "profile_id": "rmp:1089474", "source_url": "https://www.ratemyprofessors.com/professor/1089474", "match_basis": "exact_name", "observed_at": "2026-09-07 16:10:35.118581+00:00", "courses": { "course_04f6df8011b02cd41896e64b": { "review_count": 5, "quality": 2.6, "difficulty": 3, "quality_count": 5, "difficulty_count": 5 }, "course_607a9e9a5e4407c6a15fea7f": { "review_count": 2, "quality": 3, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2 }, "course_bf21ba1f0742cc941e66ed83": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.8709714593540423, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.734, "graded": 1544, "counts": [ 1087, 276, 101, 39, 20, 11, 10 ], "sections": 72 }, "instructor_url": "/instructors/RANIA_HUNTINGTON--instructor_470df2297e416ab9117fb692" }, { "instructor_uid": "instructor_bae58de478d00e1b74a49d0f", "source": "madgrades", "source_instructor_id": "5693834", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TERESA GOERTZ", "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": 3.811, "graded": 222, "counts": [ 174, 26, 15, 4, 2, 0, 1 ], "sections": 14 }, "instructor_url": "/instructors/TERESA_GOERTZ" }, { "instructor_uid": "instructor_57749290089fe24a8c54eba7", "source": "madgrades", "source_instructor_id": "6210930", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XINYI FU", "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": 3.846, "graded": 515, "counts": [ 418, 62, 24, 3, 5, 2, 1 ], "sections": 9 }, "instructor_url": "/instructors/XINYI_FU--instructor_57749290089fe24a8c54eba7" }, { "instructor_uid": "instructor_44095dcd98f09d6b6803da35", "source": "madgrades", "source_instructor_id": "6802596", "identity_basis": "source_id", "identity_status": "source_identified", "name": "XIUYUAN MI", "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": 3.155, "graded": 42, "counts": [ 16, 5, 9, 6, 4, 1, 1 ], "sections": 3 }, "instructor_url": "/instructors/XIUYUAN_MI--instructor_44095dcd98f09d6b6803da35" }, { "instructor_uid": "instructor_dfbffd4f83052e7ba1deeab7", "source": "madgrades", "source_instructor_id": "6565343", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ELIOT CHEN", "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": 3.448, "graded": 154, "counts": [ 87, 27, 15, 9, 9, 3, 4 ], "sections": 9 }, "instructor_url": "/instructors/ELIOT_CHEN--instructor_dfbffd4f83052e7ba1deeab7" }, { "instructor_uid": "instructor_df082022dfaef7ef374e6961", "source": "enrollment", "source_instructor_id": "mi8", "identity_basis": "netid", "identity_status": "source_identified", "name": "Xiuyuan Mi", "email": "MI8@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/XIUYUAN_MI" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN 351", "course_uid": "course_d9d01837efd764723fdb0020", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Rania Huntington" ], "a": 28, "ab": 8, "b": 0, "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": 36, "source_aliases": [ "ASIAN 351" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN 351", "course_uid": "course_d9d01837efd764723fdb0020", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "TERESA GOERTZ" ], "a": 16, "ab": 5, "b": 1, "bc": 1, "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": [ "ASIAN 351" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN 351", "course_uid": "course_d9d01837efd764723fdb0020", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Rania Huntington", "Xinyi Fu" ], "a": 25, "ab": 10, "b": 5, "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": 41, "source_aliases": [ "ASIAN 351" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN 351", "course_uid": "course_d9d01837efd764723fdb0020", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "ELIOT CHEN", "Xiuyuan Mi" ], "a": 8, "ab": 3, "b": 3, "bc": 5, "c": 2, "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": 22, "source_aliases": [ "ASIAN 351" ] } ] ``` ### statistics #### gpa 3.654 #### graded 123 #### counts * 77 * 26 * 9 * 7 * 3 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_d9d01837efd764723fdb0020-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_d9d01837efd764723fdb0020-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d9d01837efd764723fdb0020-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d9d01837efd764723fdb0020-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_d9d01837efd764723fdb0020-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_d9d01837efd764723fdb0020-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_d9d01837efd764723fdb0020-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_d9d01837efd764723fdb0020-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.654471544715447 #### count 123 #### university ##### size 2693 ##### gpa Percentile 40 ##### count Percentile 57 ##### median Count 99 ##### 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 | 10 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 708 | false | | 3.6–4.0 | 1768 | true | #### departments ```json [ { "subject": "ASIAN", "comparison": { "size": 25, "gpaPercentile": 25, "countPercentile": 54, "medianCount": 117, "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": 1, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` ### terms #### 1202 ##### term 1202 ##### gpa 3.888888888888889 ##### count 36 ##### university ###### size 1102 ###### gpa Percentile 86 ###### count Percentile 14 ###### 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": "ASIAN", "comparison": { "size": 10, "gpaPercentile": 100, "countPercentile": 11, "medianCount": 61.5, "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": 2, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.7083333333333335 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | ASIAN | | #### 1242 ##### term 1242 ##### gpa 3.7195121951219514 ##### count 41 ##### university ###### size 1295 ###### gpa Percentile 57 ###### count Percentile 25 ###### 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": "ASIAN", "comparison": { "size": 10, "gpaPercentile": 44, "countPercentile": 0, "medianCount": 67, "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": 2, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.090909090909091 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | ASIAN | | ### benchmarks #### all ##### school ###### size 2693 ###### gpa 3.6677644871132524 ###### top Share 82.5127104411975 ###### count 99 ##### ASIAN ###### size 25 ###### gpa 3.692161254018019 ###### top Share 85.72459862805557 ###### count 117 #### terms ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### ASIAN ###### size 10 ###### gpa 3.6503410404681595 ###### top Share 82.31600839227958 ###### count 61.5 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### ASIAN ###### size 11 ###### gpa 3.725414213589713 ###### top Share 86.51233774259343 ###### count 60 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### ASIAN ###### size 10 ###### gpa 3.634376664998927 ###### top Share 83.23546980758074 ###### count 67 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### ASIAN ###### size 11 ###### gpa 3.6937303186626 ###### top Share 86.66364998267217 ###### count 73 ## instructor Trends ```json [ { "uid": "instructor_470df2297e416ab9117fb692", "name": "RANIA HUNTINGTON", "count": 77, "terms": [ { "term": "1202", "count": 36, "sections": 1, "gpa": 3.888888888888889 }, { "term": "1242", "count": 41, "sections": 1, "gpa": 3.7195121951219514 } ] }, { "uid": "instructor_57749290089fe24a8c54eba7", "name": "XINYI FU", "count": 41, "terms": [ { "term": "1242", "count": 41, "sections": 1, "gpa": 3.7195121951219514 } ] }, { "uid": "instructor_bae58de478d00e1b74a49d0f", "name": "TERESA GOERTZ", "count": 24, "terms": [ { "term": "1222", "count": 24, "sections": 1, "gpa": 3.7083333333333335 } ] }, { "uid": "instructor_44095dcd98f09d6b6803da35", "name": "XIUYUAN MI", "count": 22, "terms": [ { "term": "1262", "count": 22, "sections": 1, "gpa": 3.090909090909091 } ] }, { "uid": "instructor_dfbffd4f83052e7ba1deeab7", "name": "ELIOT CHEN", "count": 22, "terms": [ { "term": "1262", "count": 22, "sections": 1, "gpa": 3.090909090909091 } ] } ] ``` ## following None recorded.