# BMI/STAT 768: Statistical Methods for Medical Image Analysis | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BMI_STAT_768) ## 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 aa8c156aa5d287f02903ebd155fac751839d1e68a30b035cd8f6123165e8461c ### course id BMI/STAT 768 ### course uid course\_c1415f2a79d6bcb7933050a8 ### catalog version id b9b5bfd457e1e58c42032f2cbd0e6ea91f5b19be94232ab5b6c26b5213a3ae0d ### course number 768 ### subjects * BMI * STAT ### title STATISTICAL METHODS FOR MEDICAL IMAGE ANALYSIS ### description Introduce key statistical methods and concepts for analyzing various medical images. Analyze publicly available and student/instructor supplied imaging data using the most up-to-date methods and tools. ### requirements text Graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:210:023792 * 1272:932:023792 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id aa138216def6d4df7e8149a0f66c076daf130782c6e48aef8acce26278b32f22 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STATISTICAL METHODS FOR MEDICAL IMAGE ANALYSIS introduces statistical methods for analyzing medical images and imaging data. ### llm topics * Medical image analysis * Statistical methods and concepts * Imaging data sources ### llm skills * Statistical methods for medical image analysis * Imaging data analysis with modern tools ### llm assumed background * Graduate or professional student standing ### llm search phrases * medical image analysis statistics * biomedical imaging data methods * STAT 768 statistical methods * BMI graduate statistics ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 4bb684ddc7f04e94bd3c4cd0e4a153b0fb25db4b1c1703c47ad2c1e5317dc3dd #### course id BMI/STAT 768 #### current instructors ```json [ { "instructor_uid": "instructor_804209e62ba28e3bf8231670", "message": "No course-specific reviews available", "name": "Moo Kyung Chung", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "BMI/STAT 768", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "682fbb31-8536-3281-9a13-612870d4437a", "source_record": { "entity_id": "682fbb31-8536-3281-9a13-612870d4437a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "BMI/STAT 768", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "682fbb31-8536-3281-9a13-612870d4437a", "source_record": { "entity_id": "682fbb31-8536-3281-9a13-612870d4437a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "BMI/STAT 768", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "682fbb31-8536-3281-9a13-612870d4437a", "source_record": { "entity_id": "682fbb31-8536-3281-9a13-612870d4437a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ], "text": "Recent recorded grades — Spring 2020: 3.92 GPA, 100.0% A/AB (n=6 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Spring 2025: 3.25 GPA, 50.0% A/AB (n=6 letter grades)." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2020: 3.92 GPA, 100.0% A/AB (n=6 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Spring 2025: 3.25 GPA, 50.0% A/AB (n=6 letter grades). ```json { "citations": [ { "course_id": "BMI/STAT 768", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "682fbb31-8536-3281-9a13-612870d4437a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "BMI/STAT 768", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "682fbb31-8536-3281-9a13-612870d4437a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "BMI/STAT 768", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "682fbb31-8536-3281-9a13-612870d4437a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history MOO K CHUNG is recorded teaching in Fall 2012, Fall 2013, Spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2023, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BMI/STAT 768", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "682fbb31-8536-3281-9a13-612870d4437a", "source_record": { "entity_id": "682fbb31-8536-3281-9a13-612870d4437a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "BMI/STAT 768", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "682fbb31-8536-3281-9a13-612870d4437a", "source_record": { "entity_id": "682fbb31-8536-3281-9a13-612870d4437a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "BMI/STAT 768", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": 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"type": "grade" }, { "course_id": "BMI/STAT 768", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "682fbb31-8536-3281-9a13-612870d4437a", "source_record": { "entity_id": "682fbb31-8536-3281-9a13-612870d4437a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "BMI/STAT 768", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "682fbb31-8536-3281-9a13-612870d4437a", "source_record": { "entity_id": "682fbb31-8536-3281-9a13-612870d4437a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "BMI/STAT 768", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "682fbb31-8536-3281-9a13-612870d4437a", "source_record": { "entity_id": "682fbb31-8536-3281-9a13-612870d4437a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BMI/STAT 768", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "682fbb31-8536-3281-9a13-612870d4437a", "source_record": { "entity_id": "682fbb31-8536-3281-9a13-612870d4437a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | --------------- | ----------------- | -------------------------------- | -------------------------------- | ------------------------------ | | instructor\_804209e62ba28e3bf8231670 | enrollment | mkchung | netid | source\_identified | Moo Kyung Chung | MKCHUNG\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/MOO\_KYUNG\_CHUNG | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:210:023792", "course_id": "BMI/STAT 768", "course_uid": "course_c1415f2a79d6bcb7933050a8", "term_id": "1272", "source_course_id": "023792", "source_subject_id": "210", "title": "Statistical Methods for Medical Image Analysis", "credits_min": 3, "credits_max": 3, "typically_offered": "Occasionally" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:023792", "course_id": "BMI/STAT 768", "course_uid": "course_c1415f2a79d6bcb7933050a8", "term_id": "1272", "source_course_id": "023792", "source_subject_id": "932", "title": "Statistical Methods for Medical Image Analysis", "credits_min": 3, "credits_max": 3, "typically_offered": "Occasionally" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:37707", "term_id": "1272", "source_section_id": "37707", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 20, "enrolled": 2, "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:1272:37712", "term_id": "1272", "source_section_id": "37712", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 20, "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_956d4a37f478d472afa5a68b", "source": "madgrades", "source_instructor_id": "3404298", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MOO K CHUNG", "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": 3.297, "graded": 37, "counts": [ 15, 12, 1, 4, 3, 1, 1 ], "sections": 29 }, "instructor_url": "/instructors/MOO_K_CHUNG--instructor_956d4a37f478d472afa5a68b" }, { "instructor_uid": "instructor_804209e62ba28e3bf8231670", "source": "enrollment", "source_instructor_id": "mkchung", "identity_basis": "netid", "identity_status": "source_identified", "name": "Moo Kyung Chung", "email": "MKCHUNG@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/MOO_KYUNG_CHUNG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 768", "course_uid": "course_c1415f2a79d6bcb7933050a8", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "Moo Kyung Chung" ], "a": 0, "ab": 0, "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": 0, "source_aliases": [ "BMI/STAT 768" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 768", "course_uid": "course_c1415f2a79d6bcb7933050a8", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "Moo Kyung Chung" ], "a": 0, "ab": 0, "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": 0, "source_aliases": [ "BMI/STAT 768" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 768", "course_uid": "course_c1415f2a79d6bcb7933050a8", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Moo Kyung Chung" ], "a": 0, "ab": 0, "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": 0, "source_aliases": [ "BMI/STAT 768" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 768", "course_uid": "course_c1415f2a79d6bcb7933050a8", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Moo Kyung Chung" ], "a": 0, "ab": 0, "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": 0, "source_aliases": [ "BMI/STAT 768" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 768", "course_uid": "course_c1415f2a79d6bcb7933050a8", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Moo Kyung Chung" ], "a": 5, "ab": 1, "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": 6, "source_aliases": [ "BMI/STAT 768" ] }, { 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0, "total": 0, "source_aliases": [ "BMI/STAT 768" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 768", "course_uid": "course_c1415f2a79d6bcb7933050a8", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Moo Kyung Chung" ], "a": 2, "ab": 1, "b": 1, "bc": 2, "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": 6, "source_aliases": [ "BMI/STAT 768" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 768", "course_uid": "course_c1415f2a79d6bcb7933050a8", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Moo Kyung Chung" ], "a": 0, "ab": 0, "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": 0, "source_aliases": [ "BMI/STAT 768" ] } ] ``` ### statistics #### gpa 3.722 #### graded 18 #### counts * 13 * 2 * 1 * 2 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_c1415f2a79d6bcb7933050a8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_c1415f2a79d6bcb7933050a8-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_c1415f2a79d6bcb7933050a8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_c1415f2a79d6bcb7933050a8-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_c1415f2a79d6bcb7933050a8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_c1415f2a79d6bcb7933050a8-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_c1415f2a79d6bcb7933050a8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_c1415f2a79d6bcb7933050a8-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## instructor Trends ```json [ { "uid": "instructor_956d4a37f478d472afa5a68b", "name": "MOO K CHUNG", "count": 18, "terms": [ { "term": "1204", "count": 6, "sections": 1, "gpa": 3.9166666666666665 }, { "term": "1224", "count": 6, "sections": 1, "gpa": 4 }, { "term": "1254", "count": 6, "sections": 1, "gpa": 3.25 } ] } ] ``` ## following None recorded.