# ASIAN/HISTORY 103: Introduction to East Asian History: China | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ASIAN_HISTORY_103) ## 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 0ce1fa370768c0d5d98df16b35ac5e5e81211428b1e04a9f8d1ef65e3dadefb7 ### course id ASIAN/HISTORY 103 ### course uid course\_0bff95667d4dc30cee8b8475 ### catalog version id 05d6e0d4e0a56a5fdd3f9b5f7bf66dbfd55c91facb00d049ca06b9f985e2466d ### course number 103 ### subjects * ASIAN * HISTORY ### title INTRODUCTION TO EAST ASIAN HISTORY: CHINA ### description Survey of major developments in Chinese history from 1500 B.C. to the founding of the Communist state in 1949. Emphasis on patterns and themes; equal time devoted to the classical and traditional period and the modern era. ### requirements text None ### credits min 3 ### credits max 4 ### credit offering ids * 1272:185:009045 * 1272:448:009045 ### llm job id enrich-ecd149b6a6e0877fce2f3d1c ### llm output id 310640fbfee380db84824ec6bbb13ae119186cdb1f172e13e38c3cd96663f2b2 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to East Asian History: China surveys major developments in Chinese history from 1500 B.C. to 1949, emphasizing patterns, themes, and equal time for classical/traditional and modern eras. ### llm topics * Chinese history from 1500 B.C. to 1949 * Patterns, themes, classical and traditional period, modern era ### llm skills None recorded. ### llm assumed background None recorded. ### llm search phrases * Chinese history survey * East Asian history 1500-1949 * classical to modern China * Asian Studies history intro ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 656da1aa31cf49f6d89f55a691cf62811a30ba39905acea3ba11600d67110829 #### course id ASIAN/HISTORY 103 #### current instructors ```json [ { "instructor_uid": "instructor_36e19550b26abf7a360c1fa8", "message": "No course-specific reviews available", "name": "Joseph Dennis", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "ASIAN/HISTORY 103", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "source_record": { "entity_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "ASIAN/HISTORY 103", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "source_record": { "entity_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ASIAN/HISTORY 103", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "source_record": { "entity_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ], "text": "Recent recorded grades — Fall 2022: 3.54 GPA, 77.6% A/AB (n=67 letter grades); Fall 2023: 3.81 GPA, 95.5% A/AB (n=67 letter grades); Fall 2024: 3.29 GPA, 70.0% A/AB (n=70 letter grades)." } ] } ] ``` #### difficulty workload Historical reviews of Zhaoshen Wang: Workload consists of a few straightforward research assignments, an easy midterm, and a final project, with extra credit available. ```json { "citations": [ { "instructor_name": "Zhaoshen Wang", "review_date": "2025-12-02 21:13:22 +0000 UTC", "review_id": "8c7b7d944b16570ccd47a8ec", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3127303", "source_review_id": "UmF0aW5nLTQxOTk5ODAx", "source_url": "https://www.ratemyprofessors.com/professor/3127303", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Zhaoshen Wang describe the course as easy with light grading and straightforward assignments. Reviewers note that lectures can be dense and require attention beyond slides, but the professor is organized, passionate, and supportive. While an accent may require clarity, the low-pressure environment and extra credit opportunities help students succeed. ```json { "citations": [ { "instructor_name": "Zhaoshen Wang", "review_date": "2025-12-02 20:38:07 +0000 UTC", "review_id": "7d97d00d399383ac6096e7bd", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3127303", "source_review_id": "UmF0aW5nLTQxOTk4ODkz", "source_url": "https://www.ratemyprofessors.com/professor/3127303", "type": "review" }, { "instructor_name": "Zhaoshen Wang", "review_date": "2025-12-02 21:13:22 +0000 UTC", "review_id": "8c7b7d944b16570ccd47a8ec", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3127303", "source_review_id": "UmF0aW5nLTQxOTk5ODAx", "source_url": "https://www.ratemyprofessors.com/professor/3127303", "type": "review" }, { "instructor_name": "Zhaoshen Wang", "review_date": "2026-01-15 20:24:05 +0000 UTC", "review_id": "3a101b861c37a21de4b5c8ea", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3127303", "source_review_id": "UmF0aW5nLTQyNTA0NzUw", "source_url": "https://www.ratemyprofessors.com/professor/3127303", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews for Zhaoshen Wang describe a highly accessible and supportive course with light grading and manageable workloads. ```json { "citations": [ { "instructor_name": "Zhaoshen Wang", "review_date": "2025-12-02 20:38:07 +0000 UTC", "review_id": "7d97d00d399383ac6096e7bd", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3127303", "source_review_id": "UmF0aW5nLTQxOTk4ODkz", "source_url": "https://www.ratemyprofessors.com/professor/3127303", "type": "review" }, { "instructor_name": "Zhaoshen Wang", "review_date": "2025-12-02 21:13:22 +0000 UTC", "review_id": "8c7b7d944b16570ccd47a8ec", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3127303", "source_review_id": "UmF0aW5nLTQxOTk5ODAx", "source_url": "https://www.ratemyprofessors.com/professor/3127303", "type": "review" }, { "instructor_name": "Zhaoshen Wang", "review_date": "2026-01-15 20:24:05 +0000 UTC", "review_id": "3a101b861c37a21de4b5c8ea", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3127303", "source_review_id": "UmF0aW5nLTQyNTA0NzUw", "source_url": "https://www.ratemyprofessors.com/professor/3127303", "type": "review" } ] } ``` Recent recorded grades — Fall 2023: 3.81 GPA, 95.5% A/AB (n=67 letter grades); Fall 2024: 3.29 GPA, 70.0% A/AB (n=70 letter grades); Fall 2025: 3.96 GPA, 100.0% A/AB (n=46 letter grades). ```json { "citations": [ { "course_id": "ASIAN/HISTORY 103", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ASIAN/HISTORY 103", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "ASIAN/HISTORY 103", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience Historical reviews of Zhaoshen Wang: Students appreciate the organized course plan and lenient grading, though lectures can be dense and the instructor's accent may require attention. ```json { "citations": [ { "instructor_name": "Zhaoshen Wang", "review_date": "2025-12-02 21:13:22 +0000 UTC", "review_id": "8c7b7d944b16570ccd47a8ec", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3127303", "source_review_id": "UmF0aW5nLTQxOTk5ODAx", "source_url": "https://www.ratemyprofessors.com/professor/3127303", "type": "review" }, { "instructor_name": "Zhaoshen Wang", "review_date": "2026-01-15 20:24:05 +0000 UTC", "review_id": "3a101b861c37a21de4b5c8ea", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:3127303", "source_review_id": "UmF0aW5nLTQyNTA0NzUw", "source_url": "https://www.ratemyprofessors.com/professor/3127303", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history JOSEPH DENNIS is recorded teaching in Fall 2010, Fall 2011, Fall 2013, Fall 2014, Fall 2021, Fall 2022, Fall 2023, Fall 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ASIAN/HISTORY 103", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "source_record": { "entity_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "ASIAN/HISTORY 103", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "source_record": { "entity_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "ASIAN/HISTORY 103", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "source_record": { "entity_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "ASIAN/HISTORY 103", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "source_record": { "entity_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "ASIAN/HISTORY 103", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "source_record": { "entity_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "ASIAN/HISTORY 103", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "source_record": { "entity_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "ASIAN/HISTORY 103", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "source_record": { "entity_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "ASIAN/HISTORY 103", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "source_record": { "entity_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" } ] } ``` ZHAOSHEN WANG is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "ASIAN/HISTORY 103", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "source_record": { "entity_id": "0d1e40a8-e083-3b69-926e-d238b111e00e", "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": [], "condition": "None", "course": null, "evidence": "None", "id": "source_requirements", "kind": "condition" } ] ``` #### notes * Display fallback using original requirements text; not an LLM-parsed rule. #### root source\_requirements #### status needs\_review ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------------- | --------------------- | -------------------------------- | -------------------------------- | --------------------------- | | instructor\_4a808ddc9833f6bf798e8cfb | enrollment | cli838 | netid | source\_identified | Chaoying Li | CHAOYING.LI\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/CHAOYING\_LI | | instructor\_36e19550b26abf7a360c1fa8 | enrollment | dennis3 | netid | source\_identified | Joseph Dennis | DENNIS3\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/JOSEPH\_DENNIS | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:185:009045", "course_id": "ASIAN/HISTORY 103", "course_uid": "course_0bff95667d4dc30cee8b8475", "term_id": "1272", "source_course_id": "009045", "source_subject_id": "185", "title": "Introduction to East Asian History: China", "credits_min": 3, "credits_max": 4, "typically_offered": "Fall, Spring" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:448:009045", "course_id": "ASIAN/HISTORY 103", "course_uid": "course_0bff95667d4dc30cee8b8475", "term_id": "1272", "source_course_id": "009045", "source_subject_id": "448", "title": "Introduction to East Asian History: China", "credits_min": 3, "credits_max": 4, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:32809", "term_id": "1272", "source_section_id": "32809", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 45, "enrolled": 28, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:34802", "term_id": "1272", "source_section_id": "34802", "identity_basis": "class_number", "section_number": "301", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 18, "enrolled": 5, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:34803", "term_id": "1272", "source_section_id": "34803", "identity_basis": "class_number", "section_number": "302", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 18, "enrolled": 6, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": 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Instruction", "capacity": 18, "enrolled": 10, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:34480", "term_id": "1272", "source_section_id": "34480", "identity_basis": "class_number", "section_number": "304", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 18, "enrolled": 8, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:34481", "term_id": "1272", "source_section_id": "34481", "identity_basis": "class_number", "section_number": "333", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 0, "enrolled": 5, "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_8ee84ef4fa5bfd116de0a3aa", "source": "madgrades", "source_instructor_id": "4255997", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHRISTIAN A HESS", "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": 3.581, "graded": 149, "counts": [ 57, 68, 17, 5, 2, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/CHRISTIAN_A_HESS--instructor_8ee84ef4fa5bfd116de0a3aa" }, { "instructor_uid": "instructor_88fdb17f81d117dde2e71311", "source": "madgrades", "source_instructor_id": "4399405", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SEI J CHIN", "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": 3.425, "graded": 213, "counts": [ 75, 74, 40, 13, 9, 0, 2 ], "sections": 8 }, "instructor_url": "/instructors/SEI_J_CHIN--instructor_88fdb17f81d117dde2e71311" }, { "instructor_uid": "instructor_b8c3d94997e6353cb89b136b", "source": "madgrades", "source_instructor_id": "636831", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOSEPH DENNIS", "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": 3.475, "graded": 1349, "counts": [ 698, 303, 178, 67, 57, 20, 26 ], "sections": 79 }, "instructor_url": "/instructors/JOSEPH_DENNIS--instructor_b8c3d94997e6353cb89b136b" }, { "instructor_uid": "instructor_dd15dc2211a31fcb9d3491d9", "source": "madgrades", "source_instructor_id": "4957941", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PUI SHAN SHELLY CHAN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": 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23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 3, "quality": 5, "difficulty": 1, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:3127303", "source_url": "https://www.ratemyprofessors.com/professor/3127303", "match_basis": "exact_name", "observed_at": "2026-09-07 15:56:25.009168+00:00", "courses": { "course_0bff95667d4dc30cee8b8475": { "review_count": 3, "quality": 5, "difficulty": 1, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.8345093769970395, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.957, "graded": 46, "counts": [ 42, 4, 0, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/ZHAOSHEN_WANG" }, { "instructor_uid": "instructor_36e19550b26abf7a360c1fa8", "source": "enrollment", "source_instructor_id": "dennis3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Joseph Dennis", "email": "DENNIS3@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/JOSEPH_DENNIS" }, { "instructor_uid": "instructor_4a808ddc9833f6bf798e8cfb", "source": "enrollment", "source_instructor_id": "cli838", "identity_basis": "netid", "identity_status": "source_identified", "name": "Chaoying Li", "email": "CHAOYING.LI@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/CHAOYING_LI" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN/HISTORY 103", "course_uid": "course_0bff95667d4dc30cee8b8475", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "CHRISTIAN A HESS" ], "a": 27, "ab": 30, "b": 7, "bc": 4, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, 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"incomplete": 0, "no_work": 0, "not_reported": 4, "other": 0, "total": 74, "source_aliases": [ "ASIAN/HISTORY 103" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN/HISTORY 103", "course_uid": "course_0bff95667d4dc30cee8b8475", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "ZHIJUN REN" ], "a": 43, "ab": 17, "b": 3, "bc": 2, "c": 1, "d": 0, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 69, "source_aliases": [ "ASIAN/HISTORY 103" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN/HISTORY 103", "course_uid": "course_0bff95667d4dc30cee8b8475", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Joseph Dennis" ], "a": 36, "ab": 18, "b": 5, "bc": 3, "c": 3, "d": 2, "f": 2, "satisfactory": 6, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 75, "source_aliases": [ "ASIAN/HISTORY 103" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN/HISTORY 103", "course_uid": "course_0bff95667d4dc30cee8b8475", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Joseph Dennis" ], "a": 33, "ab": 19, "b": 10, "bc": 3, "c": 0, "d": 1, "f": 1, "satisfactory": 4, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 72, "source_aliases": [ "ASIAN/HISTORY 103" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN/HISTORY 103", "course_uid": "course_0bff95667d4dc30cee8b8475", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Joseph Dennis" ], "a": 48, "ab": 16, "b": 1, "bc": 0, "c": 2, "d": 0, "f": 0, "satisfactory": 9, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 76, "source_aliases": [ "ASIAN/HISTORY 103" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN/HISTORY 103", "course_uid": "course_0bff95667d4dc30cee8b8475", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Joseph Dennis" ], "a": 18, "ab": 31, "b": 12, "bc": 1, "c": 4, "d": 3, "f": 1, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 72, "source_aliases": [ "ASIAN/HISTORY 103" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ASIAN/HISTORY 103", "course_uid": "course_0bff95667d4dc30cee8b8475", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "ZHAOSHEN WANG" ], "a": 42, "ab": 4, "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": 46, "source_aliases": [ "ASIAN/HISTORY 103" ] } ] ``` ### statistics #### gpa 3.546 #### graded 1178 #### counts * 568 * 358 * 152 * 49 * 32 * 10 * 9 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_0bff95667d4dc30cee8b8475-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_0bff95667d4dc30cee8b8475-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_0bff95667d4dc30cee8b8475-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_0bff95667d4dc30cee8b8475-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_0bff95667d4dc30cee8b8475-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_0bff95667d4dc30cee8b8475-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_0bff95667d4dc30cee8b8475-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_0bff95667d4dc30cee8b8475-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_0bff95667d4dc30cee8b8475-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_0bff95667d4dc30cee8b8475-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.546264855687606 #### count 1178 #### university ##### size 4084 ##### gpa Percentile 31 ##### count Percentile 89 ##### median Count 181 ##### 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 | 8 | false | | 2.8–3.2 | 310 | false | | 3.2–3.6 | 1167 | true | | 3.6–4.0 | 2599 | false | #### departments ```json [ { "subject": "ASIAN", "comparison": { "size": 39, "gpaPercentile": 34, "countPercentile": 95, "medianCount": 132, "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": 15, "current": true }, { "range": "3.6–4.0", "count": 21, "current": false } ] } }, { "subject": "HISTORY", "comparison": { "size": 145, "gpaPercentile": 56, "countPercentile": 90, "medianCount": 131, "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": 11, "current": false }, { "range": "3.2–3.6", "count": 77, "current": true }, { "range": "3.6–4.0", "count": 57, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.588235294117647 ##### count 68 ##### university ###### size 723 ###### gpa Percentile 75 ###### count Percentile 50 ###### 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 | 1 | false | | 2.4–2.8 | 62 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 306 | true | | 3.6–4.0 | 180 | false | ##### departments ```json [ { "subject": "ASIAN", "comparison": null }, { "subject": "HISTORY", "comparison": { "size": 30, "gpaPercentile": 97, "countPercentile": 41, "medianCount": 70.5, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 22, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1082 ##### term 1082 ##### gpa 3.2868852459016393 ##### count 61 ##### university ###### size 723 ###### gpa Percentile 43 ###### count Percentile 43 ###### 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 | 51 | false | | 2.8–3.2 | 202 | false | | 3.2–3.6 | 265 | true | | 3.6–4.0 | 204 | false | ##### departments ```json [ { "subject": "ASIAN", "comparison": null }, { "subject": "HISTORY", "comparison": { "size": 27, "gpaPercentile": 42, "countPercentile": 19, "medianCount": 79, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 19, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1092 ##### term 1092 ##### gpa 3.4242424242424243 ##### count 66 ##### university ###### size 732 ###### gpa Percentile 55 ###### count Percentile 47 ###### median Count 70 ###### 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 | 41 | false | | 2.8–3.2 | 208 | false | | 3.2–3.6 | 271 | true | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "ASIAN", "comparison": null }, { "subject": "HISTORY", "comparison": { "size": 27, "gpaPercentile": 81, "countPercentile": 35, "medianCount": 96, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 22, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 3.2045454545454546 ##### count 66 ##### university ###### size 805 ###### gpa Percentile 33 ###### count Percentile 50 ###### 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 | 45 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | true | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "ASIAN", "comparison": null }, { "subject": "HISTORY", "comparison": { "size": 28, "gpaPercentile": 26, "countPercentile": 30, "medianCount": 88, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.237704918032787 ##### count 61 ##### university ###### size 804 ###### gpa Percentile 37 ###### count Percentile 44 ###### median Count 70 ###### 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 | 47 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 282 | true | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "ASIAN", "comparison": null }, { "subject": "HISTORY", "comparison": { "size": 26, "gpaPercentile": 28, "countPercentile": 24, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 15, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.4375 ##### count 64 ##### university ###### size 853 ###### gpa Percentile 55 ###### count Percentile 48 ###### 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 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | true | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "ASIAN", "comparison": null }, { "subject": "HISTORY", "comparison": { "size": 31, "gpaPercentile": 63, "countPercentile": 43, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 21, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.653225806451613 ##### count 62 ##### university ###### size 918 ###### gpa Percentile 73 ###### count Percentile 46 ###### 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 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | true | ##### departments ```json [ { "subject": "ASIAN", "comparison": null }, { "subject": "HISTORY", "comparison": { "size": 32, "gpaPercentile": 97, "countPercentile": 39, "medianCount": 64, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 24, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.6343283582089554 ##### count 67 ##### university ###### size 954 ###### gpa Percentile 66 ###### count Percentile 51 ###### median Count 64.5 ###### 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 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | true | ##### departments ```json [ { "subject": "ASIAN", "comparison": null }, { "subject": "HISTORY", "comparison": { "size": 33, "gpaPercentile": 84, "countPercentile": 47, "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": 11, "current": false }, { "range": "3.2–3.6", "count": 15, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.4705882352941178 ##### count 68 ##### university ###### size 991 ###### gpa Percentile 49 ###### count Percentile 51 ###### 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 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "ASIAN", "comparison": null }, { "subject": "HISTORY", "comparison": { "size": 36, "gpaPercentile": 51, "countPercentile": 66, "medianCount": 57.5, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 21, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.757142857142857 ##### count 70 ##### university ###### size 1025 ###### gpa Percentile 74 ###### count Percentile 50 ###### 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 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "ASIAN", "comparison": null }, { "subject": "HISTORY", "comparison": { "size": 34, "gpaPercentile": 94, "countPercentile": 52, "medianCount": 69, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 19, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.828358208955224 ##### count 67 ##### university ###### size 1077 ###### gpa Percentile 79 ###### count Percentile 50 ###### 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 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments ```json [ { "subject": "ASIAN", "comparison": null }, { "subject": "HISTORY", "comparison": { "size": 30, "gpaPercentile": 93, "countPercentile": 31, "medianCount": 69.5, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.7642857142857142 ##### count 70 ##### university ###### size 1102 ###### gpa Percentile 73 ###### count Percentile 52 ###### 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": 56, "countPercentile": 67, "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 } ] } }, { "subject": "HISTORY", "comparison": { "size": 33, "gpaPercentile": 91, "countPercentile": 56, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.5869565217391304 ##### count 69 ##### university ###### size 1111 ###### gpa Percentile 44 ###### count Percentile 50 ###### 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 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "ASIAN", "comparison": { "size": 14, "gpaPercentile": 31, "countPercentile": 69, "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": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "HISTORY", "comparison": { "size": 31, "gpaPercentile": 50, "countPercentile": 50, "medianCount": 69, "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": 15, "current": true }, { "range": "3.6–4.0", "count": 15, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.4420289855072466 ##### count 69 ##### university ###### size 1157 ###### gpa Percentile 33 ###### count Percentile 52 ###### 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 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "ASIAN", "comparison": { "size": 11, "gpaPercentile": 0, "countPercentile": 70, "medianCount": 60, "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": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "HISTORY", "comparison": { "size": 35, "gpaPercentile": 26, "countPercentile": 62, "medianCount": 65, "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": 16, "current": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.537313432835821 ##### count 67 ##### university ###### size 1216 ###### gpa Percentile 40 ###### count Percentile 50 ###### 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 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "ASIAN", "comparison": { "size": 12, "gpaPercentile": 36, "countPercentile": 36, "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": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "HISTORY", "comparison": { "size": 39, "gpaPercentile": 32, "countPercentile": 53, "medianCount": 66, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 22, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.8059701492537314 ##### count 67 ##### university ###### size 1295 ###### gpa Percentile 68 ###### count Percentile 49 ###### 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": 67, "countPercentile": 44, "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 } ] } }, { "subject": "HISTORY", "comparison": { "size": 33, "gpaPercentile": 91, "countPercentile": 34, "medianCount": 70, "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": 14, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.2857142857142856 ##### count 70 ##### university ###### size 1333 ###### gpa Percentile 14 ###### count Percentile 50 ###### 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 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "ASIAN", "comparison": { "size": 11, "gpaPercentile": 10, "countPercentile": 20, "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": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "HISTORY", "comparison": { "size": 36, "gpaPercentile": 11, "countPercentile": 49, "medianCount": 70, "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": 17, "current": true }, { "range": "3.6–4.0", "count": 18, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.9565217391304346 ##### count 46 ##### university ###### size 1320 ###### gpa Percentile 88 ###### count Percentile 28 ###### median Count 70 ###### 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 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "ASIAN", "comparison": { "size": 11, "gpaPercentile": 100, "countPercentile": 10, "medianCount": 73, "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": 2, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } }, { "subject": "HISTORY", "comparison": { "size": 37, "gpaPercentile": 94, "countPercentile": 11, "medianCount": 69, "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": 5, "current": false }, { "range": "3.6–4.0", "count": 30, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4084 ###### gpa 3.6575878067650534 ###### top Share 81.77026827769726 ###### count 181 ##### ASIAN ###### size 39 ###### gpa 3.6115532196562046 ###### top Share 80.69689341139276 ###### count 132 ##### HISTORY ###### size 145 ###### gpa 3.546265729431009 ###### top Share 76.49511119009512 ###### count 131 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### HISTORY ###### size 30 ###### gpa 3.2803709382213815 ###### top Share 58.14268788682411 ###### count 70.5 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### HISTORY ###### size 27 ###### gpa 3.3204963442330304 ###### top Share 62.236503701207056 ###### count 79 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### HISTORY ###### size 27 ###### gpa 3.288209449262427 ###### top Share 58.745546079584656 ###### count 96 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### HISTORY ###### size 28 ###### gpa 3.3338735294227635 ###### top Share 61.006179854723776 ###### count 88 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### HISTORY ###### size 26 ###### gpa 3.348736418792707 ###### top Share 62.09875502522062 ###### count 71 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### HISTORY ###### size 31 ###### gpa 3.398043747102444 ###### top Share 67.90401751182449 ###### count 67 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### HISTORY ###### size 32 ###### gpa 3.3514625864169916 ###### top Share 63.64597574434735 ###### count 64 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### HISTORY ###### size 33 ###### gpa 3.3725656402649564 ###### top Share 67.19470196367833 ###### count 67 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### HISTORY ###### size 36 ###### gpa 3.4365744320689013 ###### top Share 70.07017874828301 ###### count 57.5 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### HISTORY ###### size 34 ###### gpa 3.447369084693555 ###### top Share 69.18991610842359 ###### count 69 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### HISTORY ###### size 30 ###### gpa 3.483182945022113 ###### top Share 74.41214884789021 ###### count 69.5 ##### 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 ###### HISTORY ###### size 33 ###### gpa 3.50670789984067 ###### top Share 74.20364692802478 ###### count 67 ##### 1212 ###### school ###### size 1111 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## instructor Trends ```json [ { "uid": "instructor_b8c3d94997e6353cb89b136b", "name": "JOSEPH DENNIS", "count": 526, "terms": [ { "term": "1112", "count": 66, "sections": 1, "gpa": 3.2045454545454546 }, { "term": "1122", "count": 61, "sections": 1, "gpa": 3.237704918032787 }, { "term": "1142", "count": 64, "sections": 1, "gpa": 3.4375 }, { "term": "1152", "count": 62, "sections": 1, "gpa": 3.653225806451613 }, { "term": "1222", "count": 69, "sections": 1, "gpa": 3.4420289855072466 }, { "term": "1232", "count": 67, "sections": 1, "gpa": 3.537313432835821 }, { "term": "1242", "count": 67, "sections": 1, "gpa": 3.8059701492537314 }, { "term": "1252", "count": 70, "sections": 1, "gpa": 3.2857142857142856 } ] }, { "uid": "instructor_dd15dc2211a31fcb9d3491d9", "name": "PUI SHAN SHELLY CHAN", "count": 342, "terms": [ { "term": "1162", "count": 67, "sections": 1, "gpa": 3.6343283582089554 }, { "term": "1172", "count": 68, "sections": 1, "gpa": 3.4705882352941178 }, { "term": "1182", "count": 70, "sections": 1, "gpa": 3.757142857142857 }, { "term": "1192", "count": 67, "sections": 1, "gpa": 3.828358208955224 }, { "term": "1202", "count": 70, "sections": 1, "gpa": 3.7642857142857142 } ] }, { "uid": "instructor_88fdb17f81d117dde2e71311", "name": "SEI J CHIN", "count": 127, "terms": [ { "term": "1082", "count": 61, "sections": 1, "gpa": 3.2868852459016393 }, { "term": "1092", "count": 66, "sections": 1, "gpa": 3.4242424242424243 } ] }, { "uid": "instructor_75df5edcb5867ff85d6e1e8c", "name": "ZHIJUN REN", "count": 69, "terms": [ { "term": "1212", "count": 69, "sections": 1, "gpa": 3.5869565217391304 } ] }, { "uid": "instructor_8ee84ef4fa5bfd116de0a3aa", "name": "CHRISTIAN A HESS", "count": 68, "terms": [ { "term": "1072", "count": 68, "sections": 1, "gpa": 3.588235294117647 } ] }, { "uid": "instructor_4dfd770e79d46813bcc2cdec", "name": "ZHAOSHEN WANG", "count": 46, "terms": [ { "term": "1262", "count": 46, "sections": 1, "gpa": 3.9565217391304346 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.2 #### upper 4 #### coverage 80 #### terms 8 ### gpa 3.6416806322286885 ### grades | grade | percentage | | ----- | ------------------ | | A | 60.77905399111796 | | AB | 25.17028381378382 | | B | 7.520054908879055 | | BC | 1.5517206156316545 | | C | 2.4579800981199407 | | D | 1.6004274481974758 | | F | 0.9204791242700943 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 319 ### same Season true ### historical Range * 3.285714285714285 * 3.9565217391304346 ### backtest #### terms 8 #### gpa Error 0.22021858895086643 #### mix Error 21.103516285470015