# ASIALANG 102: Second Semester Chinese | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ASIALANG_102) ## 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 b889a73d0be5a1b02080aa19de2d380db8a7e2bac24f0e9d5a993cfdf08d9a8e ### course id ASIALANG 102 ### course uid course\_207bf0f4cc72df44fa8439b9 ### catalog version id ffb861e5d5e15c5b3e00c6d6b1fe8ad4a9e06dfb514cb58207e1f65d8224e382 ### course number 102 ### subjects * ASIALANG ### title SECOND SEMESTER CHINESE ### description Introduces the basic grammar along with 400 Chinese characters of standard spoken Chinese. Students with prior experience in the language are required to take a placement test administered by the department. ### requirements text ASIALANG 101or111(or E Asian 101 or 122 prior to Fall 2019) or placement intoASIALANG 102. Not open to students with credit for E ASIAN 102 prior to Fall 2019 ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 1c3cb404b53bafe89b36b07c30b1a4edc3610b7f2f6be12c479740b3d92c151b ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Second semester Chinese introducing basic grammar and 400 characters of standard spoken Chinese. ### llm topics * Basic grammar, standard spoken Chinese, and Chinese characters. ### llm skills * Basic Chinese grammar and spoken Chinese communication. ### llm assumed background * Basic Chinese grammar, phonetics, and approximately 400 Chinese characters. ### llm search phrases * introductory Chinese language course * second semester Chinese * Chinese grammar and characters * ASIALANG 102 prerequisites ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 7fe95ddb8511eb66fc662516231f5a80174dc0686486dfa2b977b98901cacbf8 #### course id ASIALANG 102 #### 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 — Spring 2024: 3.72 GPA, 90.8% A/AB (n=65 letter grades); Spring 2025: 3.66 GPA, 79.2% A/AB (n=53 letter grades); Spring 2026: 3.60 GPA, 80.6% A/AB (n=62 letter grades). ```json { "citations": [ { "course_id": "ASIALANG 102", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "42005236-400a-3791-b415-bb4b90d86323", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ASIALANG 102", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "42005236-400a-3791-b415-bb4b90d86323", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ASIALANG 102", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "42005236-400a-3791-b415-bb4b90d86323", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "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": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "ASIALANG 101or111(or E Asian 101 or 122 prior to Fall 2019) or placement intoASIALANG 102. Not open to students with credit for E ASIAN 102 prior to Fall 2019", "id": "n0", "kind": "all" }, { "children": [ "n3", "n4", "n5", "n6", "n7" ], "condition": null, "course": null, "evidence": "ASIALANG 101or111(or E Asian 101 or 122 prior to Fall 2019) or placement intoASIALANG 102", "id": "n1", "kind": "any" }, { "children": [ "n8" ], "condition": null, "course": null, "evidence": "Not open to students with credit for E ASIAN 102 prior to Fall 2019", "id": "n2", "kind": "not" }, { "children": [], "condition": null, "course": { "course_number": 101, "minimum_grade": null, "subjects": [ "ASIALANG" ], "timing": "prior" }, "evidence": "101", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 111, "minimum_grade": null, "subjects": [ "ASIALANG" ], "timing": "prior" }, "evidence": "111", "id": "n4", "kind": "course" }, { "children": [], "condition": "E Asian 101", "course": null, "evidence": "E Asian 101", "id": "n5", "kind": "condition" }, { "children": [], "condition": "122", "course": null, "evidence": "122", "id": "n6", "kind": "condition" }, { "children": [], "condition": "placement intoASIALANG 102", "course": null, "evidence": "placement intoASIALANG 102", "id": "n7", "kind": "condition" }, { "children": [], "condition": "credit for E ASIAN 102 prior to Fall 2019", "course": null, "evidence": "credit for E ASIAN 102 prior to Fall 2019", "id": "n8", "kind": "condition" } ] ``` #### notes * Several course references (E Asian 101, 122, E ASIAN 102) are unlinked from the provided linked\_courses snapshot and require manual verification or linking. #### root n0 #### status needs\_review ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_191ccf986999071467aee9e2", "source": "madgrades", "source_instructor_id": "5171690", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RUI WANG", "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": 3.885, "graded": 52, "counts": [ 45, 4, 1, 2, 0, 0, 0 ], "sections": 6 }, "instructor_url": "/instructors/RUI_WANG" }, { "instructor_uid": "instructor_5a51d929b97e4718b582ea47", "source": "madgrades", "source_instructor_id": "5862050", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JIE ZHANG", "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": 1, "quality": 2, "difficulty": 3, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:1818850", "source_url": "https://www.ratemyprofessors.com/professor/1818850", "match_basis": "exact_name", "observed_at": "2026-09-07 16:32:29.544413+00:00", "courses": { "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 1, "quality": 2, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.580653127187234, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.79, "graded": 183, "counts": [ 140, 22, 14, 3, 3, 1, 0 ], "sections": 15 }, "instructor_url": "/instructors/JIE_ZHANG--instructor_5a51d929b97e4718b582ea47" }, { "instructor_uid": "instructor_7bd8ecf41309ae650d5752a3", "source": "madgrades", "source_instructor_id": "4950498", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TIANLU ZHANG", "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": 17, "quality": 4.94, "difficulty": 2.41, "quality_count": 17, "difficulty_count": 17, "profile_id": "rmp:2552253", "source_url": "https://www.ratemyprofessors.com/professor/2552253", "match_basis": "exact_name", "observed_at": "2026-09-07 16:01:54.082751+00:00", "courses": { "course_17bf3b70b9a5537665bb3f04": { "review_count": 11, "quality": 4.91, "difficulty": 2.27, "quality_count": 11, "difficulty_count": 11 }, "course_aa27d085769f6a0058791484": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_a2bedc36fa8e6839b0ac85ec": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 4.247938261376539, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.74, "graded": 1028, "counts": [ 756, 144, 75, 21, 17, 5, 10 ], "sections": 91 }, "instructor_url": "/instructors/TIANLU_ZHANG--instructor_7bd8ecf41309ae650d5752a3" }, { "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_e5d8e32794c389d589536e31", "source": "madgrades", "source_instructor_id": "5348703", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YANWEN WU", "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": 3.801, "graded": 118, "counts": [ 93, 15, 5, 2, 2, 0, 1 ], "sections": 10 }, "instructor_url": "/instructors/YANWEN_WU--instructor_e5d8e32794c389d589536e31" }, { "instructor_uid": "instructor_3b85f1a061c53d9e6cdaad68", "source": "madgrades", "source_instructor_id": "5046284", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BRENDAN DOWLING", "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": 3.782, "graded": 190, "counts": [ 151, 25, 7, 2, 0, 1, 4 ], "sections": 17 }, "instructor_url": "/instructors/BRENDAN_DOWLING" }, { "instructor_uid": "instructor_5f436481da44f824a1a7a501", "source": "madgrades", "source_instructor_id": "4902143", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TIANGE WANG", "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": 3.793, "graded": 256, "counts": [ 180, 53, 19, 1, 3, 0, 0 ], "sections": 14 }, "instructor_url": "/instructors/TIANGE_WANG--instructor_5f436481da44f824a1a7a501" }, { "instructor_uid": "instructor_3971ab082fa2e68470c6b6be", "source": "madgrades", "source_instructor_id": "6238642", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZIMO KONG", "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": 3.708, "graded": 159, "counts": [ 113, 27, 8, 4, 3, 3, 1 ], "sections": 13 }, "instructor_url": "/instructors/ZIMO_KONG--instructor_3971ab082fa2e68470c6b6be" }, { "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_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_5645be2c121fe816dfab605e", "source": "madgrades", "source_instructor_id": "6665721", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHIYU XIONG", "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": 3.695, "graded": 100, "counts": [ 71, 11, 10, 6, 1, 0, 1 ], "sections": 9 }, "instructor_url": "/instructors/SHIYU_XIONG" }, { "instructor_uid": "instructor_4fdda40ede30e4f8211b9ddc", "source": "madgrades", "source_instructor_id": "6672343", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YANG LIU", "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": 1, "quality": 2, "difficulty": 3, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:2013909", "source_url": "https://www.ratemyprofessors.com/professor/2013909", "match_basis": "exact_name", "observed_at": "2026-09-07 16:39:23.779171+00:00", "courses": {}, "bayesian_quality": 3.580653127187234, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.386, "graded": 44, "counts": [ 27, 6, 2, 2, 4, 1, 2 ], "sections": 5 }, "instructor_url": "/instructors/YANG_LIU--instructor_4fdda40ede30e4f8211b9ddc" }, { "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" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIALANG 102", "course_uid": "course_207bf0f4cc72df44fa8439b9", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "JIE ZHANG", "RUI WANG", "TERESA GOERTZ", "Tianlu Zhang", "YANWEN WU" ], "a": 48, "ab": 6, "b": 2, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 1, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 60, "source_aliases": [ "ASIALANG 102" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIALANG 102", "course_uid": "course_207bf0f4cc72df44fa8439b9", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Tianlu Zhang" ], "a": 33, "ab": 8, "b": 3, "bc": 0, "c": 2, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 49, "source_aliases": [ "ASIALANG 102" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIALANG 102", "course_uid": "course_207bf0f4cc72df44fa8439b9", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "BRENDAN DOWLING", "TERESA GOERTZ", "Tiange Wang", "Tianlu Zhang" ], "a": 46, "ab": 12, "b": 2, "bc": 3, "c": 4, "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": 67, "source_aliases": [ "ASIALANG 102" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIALANG 102", "course_uid": "course_207bf0f4cc72df44fa8439b9", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "BRENDAN DOWLING", "ELIOT CHEN", "Tianlu Zhang", "Zimo Kong" ], "a": 46, "ab": 13, "b": 3, "bc": 0, "c": 0, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 66, "source_aliases": [ "ASIALANG 102" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIALANG 102", "course_uid": "course_207bf0f4cc72df44fa8439b9", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "SHIYU XIONG", "Tianlu Zhang", "YUZHE LI", "Zimo Kong" ], "a": 37, "ab": 5, "b": 7, "bc": 3, "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": 53, "source_aliases": [ "ASIALANG 102" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIALANG 102", "course_uid": "course_207bf0f4cc72df44fa8439b9", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "SHIYU XIONG", "Tianlu Zhang", "Xinyi Fu", "Yang Liu" ], "a": 44, "ab": 6, "b": 5, "bc": 2, "c": 3, "d": 0, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 62, "source_aliases": [ "ASIALANG 102" ] } ] ``` ### statistics #### gpa 3.697 #### graded 352 #### counts * 254 * 50 * 22 * 9 * 9 * 4 * 4 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_207bf0f4cc72df44fa8439b9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_207bf0f4cc72df44fa8439b9-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_207bf0f4cc72df44fa8439b9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_207bf0f4cc72df44fa8439b9-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_207bf0f4cc72df44fa8439b9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_207bf0f4cc72df44fa8439b9-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.6974431818181817 #### count 352 #### university ##### size 3143 ##### gpa Percentile 41 ##### count Percentile 80 ##### median Count 119 ##### 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 | 166 | false | | 3.2–3.6 | 756 | false | | 3.6–4.0 | 2211 | true | #### departments ```json [ { "subject": "ASIALANG", "comparison": { "size": 21, "gpaPercentile": 20, "countPercentile": 95, "medianCount": 90, "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": 18, "current": true } ] } } ] ``` ### terms #### 1204 ##### term 1204 ##### gpa 3.8859649122807016 ##### count 57 ##### university ###### size 1012 ###### gpa Percentile 72 ###### count Percentile 44 ###### 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 | subject | comparison | | -------- | ---------- | | ASIALANG | | #### 1224 ##### term 1224 ##### gpa 3.625 ##### count 48 ##### university ###### size 1171 ###### gpa Percentile 50 ###### count Percentile 35 ###### 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 | subject | comparison | | -------- | ---------- | | ASIALANG | | #### 1234 ##### term 1234 ##### gpa 3.6940298507462686 ##### count 67 ##### university ###### size 1188 ###### gpa Percentile 55 ###### count Percentile 51 ###### 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 | subject | comparison | | -------- | ---------- | | ASIALANG | | #### 1244 ##### term 1244 ##### gpa 3.7153846153846155 ##### count 65 ##### university ###### size 1241 ###### gpa Percentile 57 ###### count Percentile 49 ###### 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 | false | | 3.6–4.0 | 706 | true | ##### departments | subject | comparison | | -------- | ---------- | | ASIALANG | | #### 1254 ##### term 1254 ##### gpa 3.660377358490566 ##### count 53 ##### university ###### size 1289 ###### gpa Percentile 47 ###### count Percentile 38 ###### 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 | subject | comparison | | -------- | ---------- | | ASIALANG | | #### 1264 ##### term 1264 ##### gpa 3.596774193548387 ##### count 62 ##### university ###### size 1283 ###### gpa Percentile 38 ###### count Percentile 46 ###### 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 | subject | comparison | | -------- | ---------- | | ASIALANG | | ### benchmarks #### all ##### school ###### size 3143 ###### gpa 3.700510183496391 ###### top Share 84.47071099002075 ###### count 119 ##### ASIALANG ###### size 21 ###### gpa 3.7683183855666265 ###### top Share 88.7635649950976 ###### count 90 #### terms ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_7bd8ecf41309ae650d5752a3", "name": "TIANLU ZHANG", "count": 352, "terms": [ { "term": "1204", "count": 57, "sections": 5, "gpa": 3.8859649122807016 }, { "term": "1224", "count": 48, "sections": 3, "gpa": 3.625 }, { "term": "1234", "count": 67, "sections": 4, "gpa": 3.6940298507462686 }, { "term": "1244", "count": 65, "sections": 4, "gpa": 3.7153846153846155 }, { "term": "1254", "count": 53, "sections": 4, "gpa": 3.660377358490566 }, { "term": "1264", "count": 62, "sections": 4, "gpa": 3.596774193548387 } ] }, { "uid": "instructor_bae58de478d00e1b74a49d0f", "name": "TERESA GOERTZ", "count": 61, "terms": [ { "term": "1204", "count": 44, "sections": 4, "gpa": 3.875 }, { "term": "1234", "count": 17, "sections": 1, "gpa": 3.6176470588235294 } ] }, { "uid": "instructor_3971ab082fa2e68470c6b6be", "name": "ZIMO KONG", "count": 59, "terms": [ { "term": "1244", "count": 48, "sections": 3, "gpa": 3.6666666666666665 }, { "term": "1254", "count": 11, "sections": 1, "gpa": 3.6363636363636362 } ] }, { "uid": "instructor_3b85f1a061c53d9e6cdaad68", "name": "BRENDAN DOWLING", "count": 52, "terms": [ { "term": "1234", "count": 17, "sections": 1, "gpa": 3.8529411764705883 }, { "term": "1244", "count": 35, "sections": 2, "gpa": 3.7857142857142856 } ] }, { "uid": "instructor_5a51d929b97e4718b582ea47", "name": "JIE ZHANG", "count": 44, "terms": [ { "term": "1204", "count": 44, "sections": 4, "gpa": 3.875 } ] }, { "uid": "instructor_e5d8e32794c389d589536e31", "name": "YANWEN WU", "count": 44, "terms": [ { "term": "1204", "count": 44, "sections": 4, "gpa": 3.875 } ] }, { "uid": "instructor_5645be2c121fe816dfab605e", "name": "SHIYU XIONG", "count": 43, "terms": [ { "term": "1254", "count": 24, "sections": 2, "gpa": 3.6458333333333335 }, { "term": "1264", "count": 19, "sections": 1, "gpa": 3.8157894736842106 } ] }, { "uid": "instructor_5f436481da44f824a1a7a501", "name": "TIANGE WANG", "count": 33, "terms": [ { "term": "1234", "count": 33, "sections": 2, "gpa": 3.6515151515151514 } ] }, { "uid": "instructor_4fdda40ede30e4f8211b9ddc", "name": "YANG LIU", "count": 31, "terms": [ { "term": "1264", "count": 31, "sections": 2, "gpa": 3.403225806451613 } ] }, { "uid": "instructor_dfbffd4f83052e7ba1deeab7", "name": "ELIOT CHEN", "count": 27, "terms": [ { "term": "1244", "count": 27, "sections": 2, "gpa": 3.8518518518518516 } ] }, { "uid": "instructor_191ccf986999071467aee9e2", "name": "RUI WANG", "count": 23, "terms": [ { "term": "1204", "count": 23, "sections": 2, "gpa": 3.847826086956522 } ] }, { "uid": "instructor_2a48015f4452abd5967f39ed", "name": "YUZHE LI", "count": 18, "terms": [ { "term": "1254", "count": 18, "sections": 1, "gpa": 3.6944444444444446 } ] }, { "uid": "instructor_57749290089fe24a8c54eba7", "name": "XINYI FU", "count": 12, "terms": [ { "term": "1264", "count": 12, "sections": 1, "gpa": 3.75 } ] } ] ``` ## following | code | title | | ------------ | -------------------------------------- | | ASIALANG 201 | THIRD SEMESTER CHINESE | | ASIAN 351 | SURVEY OF CLASSICAL CHINESE LITERATURE | | ASIAN 631 | HISTORY OF THE CHINESE LANGUAGE | ## projection ### target 1272 ### gpa 3.6527443829631974 ### grades | grade | percentage | | ----- | ------------------ | | A | 70.03252767656333 | | AB | 13.690327548357173 | | B | 7.637065155783761 | | BC | 2.9886499440261156 | | C | 2.8564055098751986 | | D | 1.1325498236493001 | | F | 1.6624743417451175 | ### source Terms * 1264 * 1254 * 1244 * 1234 * 1224 ### source Count 295 ### same Season false ### historical Range * 3.5967741935483875 * 3.7153846153846155