# ASIAN 371: Topics in Chinese Literature | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ASIAN_371) ## 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 581d09240cd2dc81642f3bccb6b6624620ec2eac99ff32271787eb1756a6b0e9 ### course id ASIAN 371 ### course uid course\_ed6455d8e47c607a4fce8066 ### catalog version id 1912cb50eba00fbb7173ce71cfb700b4a2165b5f43d2cbc47c184e69c45ee434 ### course number 371 ### subjects * ASIAN ### title TOPICS IN CHINESE LITERATURE ### description Literary or cultural study of a particular theme, work, period, or genre in Chinese literature. Possible topics include: Confucian Analects, The Dream of the Red Chamber, Journey to the West, or Traditional Chinese Drama. Translations serve as the principal texts, but students of Chinese are required to do some reading in the original. ### requirements text Sophomore standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id aaf190c38a13aa727ef88036e15df8859fc41547f371c7623fad281028988768 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ASIAN 371 explores themes, works, and genres in Chinese literature through literary and cultural study. ### llm topics * Confucian Analects * The Dream of the Red Chamber * Journey to the West * Traditional Chinese Drama ### llm skills * Literary and cultural analysis * Translation-based textual interpretation ### llm assumed background * Basic proficiency in reading Chinese characters ### llm search phrases * Chinese literature analysis * Confucian Analects study * Chinese drama translation * Dream of the Red Chamber ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 7e013563b58a2163c0f3177b4c2500a089a4561b2ce2f047e25f1e4ff029d508 #### course id ASIAN 371 #### 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 2022: 3.81 GPA, 91.7% A/AB (n=96 letter grades); Spring 2023: 3.89 GPA, 95.6% A/AB (n=339 letter grades); Fall 2024: 3.81 GPA, 93.3% A/AB (n=105 letter grades). ```json { "citations": [ { "course_id": "ASIAN 371", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4559ca2e-a08f-3dee-9394-9a468c21efc4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "ASIAN 371", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4559ca2e-a08f-3dee-9394-9a468c21efc4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "ASIAN 371", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4559ca2e-a08f-3dee-9394-9a468c21efc4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "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_0f8fc96f9555727217f8f27c", "source": "madgrades", "source_instructor_id": "5909766", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHEYU SU", "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": 3.872, "graded": 763, "counts": [ 658, 65, 20, 5, 9, 4, 2 ], "sections": 11 }, "instructor_url": "/instructors/ZHEYU_SU" }, { "instructor_uid": "instructor_61d4509e36d13d3cc4a6eef3", "source": "madgrades", "source_instructor_id": "5524226", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOSIAH STORK", "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": 3.826, "graded": 317, "counts": [ 248, 49, 9, 5, 4, 2, 0 ], "sections": 3 }, "instructor_url": "/instructors/JOSIAH_STORK" }, { "instructor_uid": "instructor_93ee4af9f784f3b59a4cd762", "source": "madgrades", "source_instructor_id": "2600822", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WILLIAM NIENHAUSER", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 6, "quality": 3.83, "difficulty": 2.17, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:1427656", "source_url": "https://www.ratemyprofessors.com/professor/1427656", "match_basis": "exact_name", "observed_at": "2026-09-07 15:59:08.733494+00:00", "courses": {}, "bayesian_quality": 3.698989064266612, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.868, "graded": 712, "counts": [ 604, 68, 23, 6, 6, 4, 1 ], "sections": 8 }, "instructor_url": "/instructors/WILLIAM_NIENHAUSER" }, { "instructor_uid": "instructor_c7ea39cbe7df8b2ec3532bd6", "source": "madgrades", "source_instructor_id": "5877392", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YIXUAN CAI", "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": 3.825, "graded": 392, "counts": [ 327, 39, 12, 2, 4, 6, 2 ], "sections": 10 }, "instructor_url": "/instructors/YIXUAN_CAI--instructor_c7ea39cbe7df8b2ec3532bd6" }, { "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_2a48015f4452abd5967f39ed", "source": "madgrades", "source_instructor_id": "6210698", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YUZHE LI", "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": 3.779, "graded": 181, "counts": [ 136, 26, 14, 2, 1, 0, 2 ], "sections": 8 }, "instructor_url": "/instructors/YUZHE_LI" }, { "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_13ee37c50d0f7be7526078b1", "source": "madgrades", "source_instructor_id": "6011834", "identity_basis": "source_id", "identity_status": "source_identified", "name": "FRANK BREU", "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": 3.814, "graded": 105, "counts": [ 76, 22, 5, 1, 1, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/FRANK_BREU" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN 371", "course_uid": "course_ed6455d8e47c607a4fce8066", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "JOSIAH STORK", "WILLIAM NIENHAUSER", "YIXUAN CAI", "ZHEYU SU" ], "a": 230, "ab": 22, "b": 6, "bc": 2, "c": 2, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 264, "source_aliases": [ "ASIAN 371" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN 371", "course_uid": "course_ed6455d8e47c607a4fce8066", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Rania Huntington" ], "a": 76, "ab": 11, "b": 2, "bc": 1, "c": 0, "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": 91, "source_aliases": [ "ASIAN 371" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN 371", "course_uid": "course_ed6455d8e47c607a4fce8066", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "YIXUAN CAI" ], "a": 30, "ab": 9, "b": 0, "bc": 0, "c": 0, "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": 42, "source_aliases": [ "ASIAN 371" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN 371", "course_uid": "course_ed6455d8e47c607a4fce8066", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Rania Huntington", "YUZHE LI" ], "a": 73, "ab": 15, "b": 7, "bc": 0, "c": 0, "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": 96, "source_aliases": [ "ASIAN 371" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN 371", "course_uid": "course_ed6455d8e47c607a4fce8066", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "WILLIAM NIENHAUSER", "Xinyi Fu", "ZHEYU SU" ], "a": 297, "ab": 27, "b": 9, "bc": 0, "c": 3, "d": 2, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 339, "source_aliases": [ "ASIAN 371" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN 371", "course_uid": "course_ed6455d8e47c607a4fce8066", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "FRANK BREU", "Rania Huntington" ], "a": 76, "ab": 22, "b": 5, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 107, "source_aliases": [ "ASIAN 371" ] } ] ``` ### statistics #### gpa 3.859 #### graded 937 #### counts * 782 * 106 * 29 * 4 * 6 * 8 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_ed6455d8e47c607a4fce8066-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_ed6455d8e47c607a4fce8066-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_ed6455d8e47c607a4fce8066-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_ed6455d8e47c607a4fce8066-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_ed6455d8e47c607a4fce8066-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_ed6455d8e47c607a4fce8066-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8591248665955176 #### count 937 #### university ##### size 3516 ##### gpa Percentile 68 ##### count Percentile 95 ##### median Count 97.5 ##### 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 | 1 | false | | 2.4–2.8 | 13 | false | | 2.8–3.2 | 258 | false | | 3.2–3.6 | 958 | false | | 3.6–4.0 | 2286 | true | #### departments ```json [ { "subject": "ASIAN", "comparison": { "size": 37, "gpaPercentile": 81, "countPercentile": 100, "medianCount": 100, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 20, "current": true } ] } } ] ``` ### terms #### 1202 ##### term 1202 ##### gpa 3.8863636363636362 ##### count 264 ##### university ###### size 1102 ###### gpa Percentile 85 ###### count Percentile 92 ###### 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": 89, "countPercentile": 100, "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 } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.868131868131868 ##### count 91 ##### university ###### size 1111 ###### gpa Percentile 79 ###### count Percentile 61 ###### 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 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "ASIAN", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 85, "medianCount": 62, "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": 5, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.6785714285714284 ##### count 42 ##### university ###### size 1171 ###### gpa Percentile 55 ###### count Percentile 26 ###### 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 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "ASIAN", "comparison": { "size": 10, "gpaPercentile": 78, "countPercentile": 33, "medianCount": 47, "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": 3, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.8072916666666665 ##### count 96 ##### university ###### size 1216 ###### gpa Percentile 70 ###### count Percentile 65 ###### 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 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "ASIAN", "comparison": { "size": 12, "gpaPercentile": 82, "countPercentile": 82, "medianCount": 79.5, "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": 4, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.8864306784660765 ##### count 339 ##### university ###### size 1188 ###### gpa Percentile 79 ###### count Percentile 93 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "ASIAN", "comparison": { "size": 10, "gpaPercentile": 78, "countPercentile": 100, "medianCount": 61, "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": 3, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.8142857142857145 ##### count 105 ##### university ###### size 1333 ###### gpa Percentile 68 ###### count Percentile 69 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "ASIAN", "comparison": { "size": 11, "gpaPercentile": 60, "countPercentile": 70, "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": 3, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 3516 ###### gpa 3.6684195696347417 ###### top Share 82.52113215903108 ###### count 97.5 ##### ASIAN ###### size 37 ###### gpa 3.6370474138548667 ###### top Share 83.55665859729207 ###### count 100 #### 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 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### ASIAN ###### size 14 ###### gpa 3.7065529976108578 ###### top Share 87.45639300782757 ###### count 62 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### ASIAN ###### size 10 ###### gpa 3.5578814499596696 ###### top Share 80.94888851033595 ###### count 47 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### ASIAN ###### size 12 ###### gpa 3.6047886519879424 ###### top Share 81.09118435527206 ###### count 79.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### ASIAN ###### size 10 ###### gpa 3.678511627099682 ###### top Share 84.04138109535613 ###### count 61 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### ASIAN ###### size 11 ###### gpa 3.6606843070932356 ###### top Share 84.37582279101618 ###### count 86 ## instructor Trends ```json [ { "uid": "instructor_0f8fc96f9555727217f8f27c", "name": "ZHEYU SU", "count": 603, "terms": [ { "term": "1202", "count": 264, "sections": 1, "gpa": 3.8863636363636362 }, { "term": "1234", "count": 339, "sections": 1, "gpa": 3.8864306784660765 } ] }, { "uid": "instructor_93ee4af9f784f3b59a4cd762", "name": "WILLIAM NIENHAUSER", "count": 603, "terms": [ { "term": "1202", "count": 264, "sections": 1, "gpa": 3.8863636363636362 }, { "term": "1234", "count": 339, "sections": 1, "gpa": 3.8864306784660765 } ] }, { "uid": "instructor_57749290089fe24a8c54eba7", "name": "XINYI FU", "count": 339, "terms": [ { "term": "1234", "count": 339, "sections": 1, "gpa": 3.8864306784660765 } ] }, { "uid": "instructor_c7ea39cbe7df8b2ec3532bd6", "name": "YIXUAN CAI", "count": 306, "terms": [ { "term": "1202", "count": 264, "sections": 1, "gpa": 3.8863636363636362 }, { "term": "1224", "count": 42, "sections": 1, "gpa": 3.6785714285714284 } ] }, { "uid": "instructor_470df2297e416ab9117fb692", "name": "RANIA HUNTINGTON", "count": 292, "terms": [ { "term": "1212", "count": 91, "sections": 1, "gpa": 3.868131868131868 }, { "term": "1232", "count": 96, "sections": 1, "gpa": 3.8072916666666665 }, { "term": "1252", "count": 105, "sections": 1, "gpa": 3.8142857142857145 } ] }, { "uid": "instructor_61d4509e36d13d3cc4a6eef3", "name": "JOSIAH STORK", "count": 264, "terms": [ { "term": "1202", "count": 264, "sections": 1, "gpa": 3.8863636363636362 } ] }, { "uid": "instructor_13ee37c50d0f7be7526078b1", "name": "FRANK BREU", "count": 105, "terms": [ { "term": "1252", "count": 105, "sections": 1, "gpa": 3.8142857142857145 } ] }, { "uid": "instructor_2a48015f4452abd5967f39ed", "name": "YUZHE LI", "count": 96, "terms": [ { "term": "1232", "count": 96, "sections": 1, "gpa": 3.8072916666666665 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.8097730566433348 ### grades | grade | percentage | | ----- | ------------------- | | A | 75.94842383316373 | | AB | 17.257811823196796 | | B | 4.569041085028874 | | BC | 0.41480006636801064 | | C | 0.5689735423632004 | | D | 0.899198444756707 | | F | 0.3417512051226707 | ### source Terms * 1252 * 1234 * 1232 * 1224 ### source Count 582 ### same Season false ### historical Range * 3.678571428571429 * 3.8864306784660765