# BMI/POPHLTH 551: Introduction to Biostatistics for Population Health | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BMI_POPHLTH_551) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+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 ba85a94a8c79b11a9fa1a52939c059eb9d79d46f7f408aa7df17a5271e27250f ### course id BMI/POPHLTH 551 ### course uid course\_bf09f7c132be1c8d849721f1 ### catalog version id c1a4738a11ee851fbb37a1b817914035a6663cc106226bcec727b19783cf4b0d ### course number 551 ### subjects * BMI * POPHLTH ### title INTRODUCTION TO BIOSTATISTICS FOR POPULATION HEALTH ### description Designed for population health researcher. Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work. ### requirements text Graduate/professional standing ### credits min 4 ### credits max 4 ### credit offering ids * 1272:210:022974 * 1272:810:022974 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id f5ef87a503321209d6a4af3600067f60be37f97cddcb9aaa14abc683c7fa1562 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to biostatistics for population health researchers covering descriptive statistics, probability, inference, and sample size calculations. ### llm topics * Descriptive statistics and probability distributions * Normal and binomial inference * Hypothesis testing and confidence intervals * Power and sample size calculations ### llm skills * Descriptive statistics and elementary probability * Normal and binomial statistical inference * Power and sample size calculations * Statistical assumptions and diagnostic work ### llm assumed background None recorded. ### llm search phrases * biostatistics population health * descriptive statistics probability * hypothesis testing confidence intervals * sample size calculations binomial inference ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 053bf30837eb102f1f74422334c99c14b571af6eec87f6f7577cf3988720716b #### course id BMI/POPHLTH 551 #### current instructors ```json [ { "instructor_uid": "instructor_826efa30bd842ba0be41033a", "message": "No course-specific reviews available", "name": "Tianyuan Lu", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "BMI/POPHLTH 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d302758a-1dfe-39dc-80d8-336711b0e69e", "source_record": { "entity_id": "d302758a-1dfe-39dc-80d8-336711b0e69e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.81 GPA, 93.8% A/AB (n=16 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 — Fall 2023: 3.70 GPA, 80.0% A/AB (n=10 letter grades); Fall 2024: 3.86 GPA, 100.0% A/AB (n=14 letter grades); Fall 2025: 3.81 GPA, 93.8% A/AB (n=16 letter grades). ```json { "citations": [ { "course_id": "BMI/POPHLTH 551", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d302758a-1dfe-39dc-80d8-336711b0e69e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BMI/POPHLTH 551", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d302758a-1dfe-39dc-80d8-336711b0e69e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BMI/POPHLTH 551", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d302758a-1dfe-39dc-80d8-336711b0e69e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history TIANYUAN LU is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BMI/POPHLTH 551", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d302758a-1dfe-39dc-80d8-336711b0e69e", "source_record": { "entity_id": "d302758a-1dfe-39dc-80d8-336711b0e69e", "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": "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\_826efa30bd842ba0be41033a | enrollment | tlu88 | netid | source\_identified | Tianyuan Lu | TIANYUAN.LU\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/TIANYUAN\_LU | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:210:022974", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1272", "source_course_id": "022974", "source_subject_id": "210", "title": "Introduction to Biostatistics for Population Health", "credits_min": 4, "credits_max": 4, "typically_offered": "Fall" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:810:022974", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1272", "source_course_id": "022974", "source_subject_id": "810", "title": "Introduction to Biostatistics for Population Health", "credits_min": 4, "credits_max": 4, "typically_offered": "Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:36375", "term_id": "1272", "source_section_id": "36375", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 1, "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:1272:36376", "term_id": "1272", "source_section_id": "36376", "identity_basis": "class_number", "section_number": "311", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 1, "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:1272:32879", "term_id": "1272", "source_section_id": "32879", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 17, "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:1272:32880", "term_id": "1272", "source_section_id": "32880", "identity_basis": "class_number", "section_number": "311", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 24, "enrolled": 17, "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_8059223b542b6452f4aa2cae", "source": "madgrades", "source_instructor_id": "893827", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RONALD GANGNON", "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": 3.641, "graded": 456, "counts": [ 229, 138, 82, 5, 1, 1, 0 ], "sections": 98 }, "instructor_url": "/instructors/RONALD_GANGNON" }, { "instructor_uid": "instructor_dbc68f59fd104024822f7fb7", "source": "madgrades", "source_instructor_id": "3622809", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SIJIAN 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": 3.59, "graded": 316, "counts": [ 184, 72, 28, 17, 8, 4, 3 ], "sections": 32 }, "instructor_url": "/instructors/SIJIAN_WANG--instructor_dbc68f59fd104024822f7fb7" }, { "instructor_uid": "instructor_d8b9b0fe32d16ff8451aff03", "source": "madgrades", "source_instructor_id": "4282682", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YINGQI ZHAO", "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": 3.574, "graded": 27, "counts": [ 8, 15, 4, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/YINGQI_ZHAO--instructor_d8b9b0fe32d16ff8451aff03" }, { "instructor_uid": "instructor_699e2d13baf3573b224b1dfe", "source": "madgrades", "source_instructor_id": "2601674", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARI PALTA", "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": 3.643, "graded": 129, "counts": [ 71, 30, 26, 0, 1, 1, 0 ], "sections": 47 }, "instructor_url": "/instructors/MARI_PALTA--instructor_699e2d13baf3573b224b1dfe" }, { "instructor_uid": "instructor_c6eb016d8760227b7ff96b4b", "source": "madgrades", "source_instructor_id": "6183923", "identity_basis": "source_id", "identity_status": "source_identified", "name": "AMY COCHRAN", "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": 9, "quality": 4.67, "difficulty": 3.33, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2795194", "source_url": "https://www.ratemyprofessors.com/professor/2795194", "match_basis": "exact_name", "observed_at": "2026-09-07 16:56:00.641594+00:00", "courses": {}, "bayesian_quality": 3.973231574859721, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.57, "graded": 228, "counts": [ 127, 48, 35, 8, 4, 5, 1 ], "sections": 36 }, "instructor_url": "/instructors/AMY_COCHRAN--instructor_c6eb016d8760227b7ff96b4b" }, { "instructor_uid": "instructor_2919aa0a80865d9996f76a22", "source": "madgrades", "source_instructor_id": "6711629", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TIANYUAN LU", "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": 3.812, "graded": 16, "counts": [ 11, 4, 1, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/TIANYUAN_LU--instructor_2919aa0a80865d9996f76a22" }, { "instructor_uid": "instructor_826efa30bd842ba0be41033a", "source": "enrollment", "source_instructor_id": "tlu88", "identity_basis": "netid", "identity_status": "source_identified", "name": "Tianyuan Lu", "email": "TIANYUAN.LU@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/TIANYUAN_LU" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "RONALD GANGNON" ], "a": 6, "ab": 7, "b": 4, "bc": 0, "c": 0, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 18, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "RONALD GANGNON" ], "a": 4, "ab": 4, "b": 2, "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": 12, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "RONALD GANGNON" ], "a": 7, "ab": 6, "b": 7, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 21, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "RONALD GANGNON" ], "a": 5, "ab": 14, "b": 6, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "RONALD GANGNON" ], "a": 6, "ab": 9, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 19, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "SIJIAN WANG" ], "a": 20, "ab": 9, "b": 1, "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": 1, "other": 0, "total": 31, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "YINGQI ZHAO" ], "a": 8, "ab": 15, "b": 4, "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": 27, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "SIJIAN WANG" ], "a": 12, "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": 13, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "MARI PALTA" ], "a": 12, "ab": 6, "b": 7, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "MARI PALTA" ], "a": 5, "ab": 5, "b": 6, "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": 16, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "MARI PALTA" ], "a": 9, "ab": 1, "b": 2, "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": 12, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Amy Cochran" ], "a": 7, "ab": 3, "b": 2, "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": 12, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Amy Cochran" ], "a": 10, "ab": 3, "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": 13, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Amy Cochran" ], "a": 13, "ab": 4, "b": 3, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 21, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Amy Cochran" ], "a": 5, "ab": 2, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 9, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Amy Cochran" ], "a": 4, "ab": 6, "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": 10, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Amy Cochran" ], "a": 6, "ab": 2, "b": 2, "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": 10, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Amy Cochran" ], "a": 10, "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": 14, "source_aliases": [ "BMI/POPHLTH 551" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/POPHLTH 551", "course_uid": "course_bf09f7c132be1c8d849721f1", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Tianyuan Lu" ], "a": 11, "ab": 4, "b": 1, "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": 16, "source_aliases": [ "BMI/POPHLTH 551" ] } ] ``` ### statistics #### gpa 3.652 #### graded 320 #### counts * 160 * 105 * 50 * 4 * 0 * 1 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_bf09f7c132be1c8d849721f1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_bf09f7c132be1c8d849721f1-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_bf09f7c132be1c8d849721f1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_bf09f7c132be1c8d849721f1-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_bf09f7c132be1c8d849721f1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_bf09f7c132be1c8d849721f1-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_bf09f7c132be1c8d849721f1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_bf09f7c132be1c8d849721f1-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.6515625 #### count 320 #### university ##### size 4107 ##### gpa Percentile 42 ##### count Percentile 64 ##### median Count 186 ##### 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 | 317 | false | | 3.2–3.6 | 1175 | false | | 3.6–4.0 | 2605 | true | #### departments ```json [ { "subject": "BMI", "comparison": { "size": 21, "gpaPercentile": 20, "countPercentile": 90, "medianCount": 103, "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": 19, "current": true } ] } }, { "subject": "POPHLTH", "comparison": { "size": 22, "gpaPercentile": 24, "countPercentile": 57, "medianCount": 174, "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": 19, "current": true } ] } } ] ``` ### terms #### 1082 ##### term 1082 ##### gpa 3.4166666666666665 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1092 ##### term 1092 ##### gpa 3.4166666666666665 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1102 ##### term 1102 ##### gpa 3.5 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1112 ##### term 1112 ##### gpa 3.4423076923076925 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1122 ##### term 1122 ##### gpa 3.6176470588235294 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1132 ##### term 1132 ##### gpa 3.816666666666667 ##### count 30 ##### university ###### size 851 ###### gpa Percentile 84 ###### count Percentile 0 ###### 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 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | true | ##### departments ```json [ { "subject": "BMI", "comparison": null }, { "subject": "POPHLTH", "comparison": { "size": 10, "gpaPercentile": 67, "countPercentile": 0, "medianCount": 37.5, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.574074074074074 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1152 ##### term 1152 ##### gpa 3.9615384615384617 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1162 ##### term 1162 ##### gpa 3.6 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1172 ##### term 1172 ##### gpa 3.46875 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1182 ##### term 1182 ##### gpa 3.7916666666666665 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1192 ##### term 1192 ##### gpa 3.7083333333333335 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1202 ##### term 1202 ##### gpa 3.8846153846153846 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1212 ##### term 1212 ##### gpa 3.6904761904761907 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1222 ##### term 1222 ##### gpa 3.75 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1232 ##### term 1232 ##### gpa 3.7 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1242 ##### term 1242 ##### gpa 3.7 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1252 ##### term 1252 ##### gpa 3.857142857142857 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | #### 1262 ##### term 1262 ##### gpa 3.8125 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | POPHLTH | | ### benchmarks #### all ##### school ###### size 4107 ###### gpa 3.656236570774289 ###### top Share 81.63058883211558 ###### count 186 ##### BMI ###### size 21 ###### gpa 3.8103317377891566 ###### top Share 91.57160608309357 ###### count 103 ##### POPHLTH ###### size 22 ###### gpa 3.784797817646039 ###### top Share 88.02716019238842 ###### count 174 #### terms ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### POPHLTH ###### size 10 ###### gpa 3.700553572990855 ###### top Share 84.19711217980111 ###### count 37.5 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ## instructor Trends ```json [ { "uid": "instructor_8059223b542b6452f4aa2cae", "name": "RONALD GANGNON", "count": 93, "terms": [ { "term": "1082", "count": 18, "sections": 1, "gpa": 3.4166666666666665 }, { "term": "1092", "count": 12, "sections": 1, "gpa": 3.4166666666666665 }, { "term": "1102", "count": 20, "sections": 1, "gpa": 3.5 }, { "term": "1112", "count": 26, "sections": 1, "gpa": 3.4423076923076925 }, { "term": "1122", "count": 17, "sections": 1, "gpa": 3.6176470588235294 } ] }, { "uid": "instructor_c6eb016d8760227b7ff96b4b", "name": "AMY COCHRAN", "count": 88, "terms": [ { "term": "1192", "count": 12, "sections": 1, "gpa": 3.7083333333333335 }, { "term": "1202", "count": 13, "sections": 1, "gpa": 3.8846153846153846 }, { "term": "1212", "count": 21, "sections": 1, "gpa": 3.6904761904761907 }, { "term": "1222", "count": 8, "sections": 1, "gpa": 3.75 }, { "term": "1232", "count": 10, "sections": 1, "gpa": 3.7 }, { "term": "1242", "count": 10, "sections": 1, "gpa": 3.7 }, { "term": "1252", "count": 14, "sections": 1, "gpa": 3.857142857142857 } ] }, { "uid": "instructor_699e2d13baf3573b224b1dfe", "name": "MARI PALTA", "count": 53, "terms": [ { "term": "1162", "count": 25, "sections": 1, "gpa": 3.6 }, { "term": "1172", "count": 16, "sections": 1, "gpa": 3.46875 }, { "term": "1182", "count": 12, "sections": 1, "gpa": 3.7916666666666665 } ] }, { "uid": "instructor_dbc68f59fd104024822f7fb7", "name": "SIJIAN WANG", "count": 43, "terms": [ { "term": "1132", "count": 30, "sections": 1, "gpa": 3.816666666666667 }, { "term": "1152", "count": 13, "sections": 1, "gpa": 3.9615384615384617 } ] }, { "uid": "instructor_d8b9b0fe32d16ff8451aff03", "name": "YINGQI ZHAO", "count": 27, "terms": [ { "term": "1142", "count": 27, "sections": 1, "gpa": 3.574074074074074 } ] }, { "uid": "instructor_2919aa0a80865d9996f76a22", "name": "TIANYUAN LU", "count": 16, "terms": [ { "term": "1262", "count": 16, "sections": 1, "gpa": 3.8125 } ] } ] ``` ## following | code | title | | --------------- | ---------------------------------------- | | BMI/POPHLTH 552 | REGRESSION METHODS FOR POPULATION HEALTH |