# BMI/STAT 541: Introduction to Biostatistics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BMI_STAT_541) ## 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 d3134b9a217818884fc034ca04e6c8ec72983585b9d256f80b0d1d81f987a753 ### course id BMI/STAT 541 ### course uid course\_4c67a24aa1091c6bb6189230 ### catalog version id fd21b783fc1eb0f04b0fb925f17c914137959a5d42cf8defcb473cd72d8e26dd ### course number 541 ### subjects * BMI * STAT ### title INTRODUCTION TO BIOSTATISTICS ### description Course designed for the biomedical researcher. Topics include: descriptive statistics, hypothesis testing, estimation, confidence intervals, t-tests, chi-squared tests, analysis of variance, linear regression, correlation, nonparametric tests, survival analysis and odds ratio. Biomedical applications used for each topic. ### requirements text Graduate/professional standing. Not open to students with credit for STAT 511 orPOP HLTH/​B M I  551 ### credits min 3 ### credits max 3 ### credit offering ids * 1272:210:018472 * 1272:932:018472 ### llm job id enrich-b6d8f78c1be0d523cf09d00d ### llm output id 5436a716c4caf4727cf65655711f60cffd996c8dd8a8fc8418c8c815b3b8acad ### 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 biomedical researchers, covering descriptive statistics, hypothesis testing, regression, and survival analysis with biomedical applications. ### llm topics * Descriptive statistics, hypothesis testing, estimation, confidence intervals, t-tests, chi-squared tests, analysis of variance, linear regression, correlation, nonparametric tests, survival analysis, and odds ratios. ### llm skills * Descriptive statistics, hypothesis testing, estimation, confidence intervals, t-tests, chi-squared tests, ANOVA, linear regression, correlation, nonparametric tests, survival analysis, and odds ratios. ### llm assumed background None recorded. ### llm search phrases * BMI STAT 541 biostatistics * biomedical researcher statistics course * t-tests chi-squared analysis of variance * survival analysis odds ratio biomedical ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash c9bfb1435ba4f6289e58854f3e6442aee5b6567cda37e1fc304c15acbdc4ce14 #### course id BMI/STAT 541 #### current instructors ```json [ { "instructor_uid": "instructor_18efe2de9081624a52343124", "message": "No course-specific reviews available", "name": "Christina Newton", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_bbc4ba26098514620e53d8ff", "message": "No course-specific reviews available", "name": "Zhengzheng Tang", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.90 GPA, 94.1% A/AB (n=34 letter grades); Fall 2024: 3.91 GPA, 97.1% A/AB (n=34 letter grades); Fall 2025: 3.92 GPA, 95.6% A/AB (n=45 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload Historical reviews of Ismor Fischer, Mary Lindstrom: Reviewers describe the course as easy, with take-home or open-note exams. Prior intro stats knowledge makes the material manageable. ```json { "citations": [ { "instructor_name": "Ismor Fischer", "review_date": "2009-05-31 15:03:50 +0000 UTC", "review_id": "5b4ea8412545acee8e36de93", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTE1OTE3MTQ4", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" }, { "instructor_name": "Mary Lindstrom", "review_date": "2014-01-07 11:42:03 +0000 UTC", "review_id": "250e70317eab0c75727deb91", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1872767", "source_review_id": "UmF0aW5nLTIyNzEwNzk2", "source_url": "https://www.ratemyprofessors.com/professor/1872767", "type": "review" }, { "instructor_name": "Mary Lindstrom", "review_date": "2014-07-14 23:51:17 +0000 UTC", "review_id": "0242e2865f69c0c8d024596b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1872767", "source_review_id": "UmF0aW5nLTIzNDQ1NzAy", "source_url": "https://www.ratemyprofessors.com/professor/1872767", "type": "review" } ] } ``` #### errors None recorded. #### historical context No reviews exist for current instructors Christina Newton or Zhengzheng Tang. Historical reviews for Ismor Fischer highlight his helpfulness and clear teaching of statistical basics. Mary Lindstrom was supportive but had disorganized lectures, though exams were open-note and manageable for students with prior statistics background. ```json { "citations": [ { "instructor_name": "Ismor Fischer", "review_date": "2009-05-05 16:30:03 +0000 UTC", "review_id": "9c3d6b0dc3b3ef3b6ffc5c37", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTE1NzY5NDQx", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" }, { "instructor_name": "Ismor Fischer", "review_date": "2009-05-31 15:03:50 +0000 UTC", "review_id": "5b4ea8412545acee8e36de93", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTE1OTE3MTQ4", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" }, { "instructor_name": "Mary Lindstrom", "review_date": "2014-01-07 11:42:03 +0000 UTC", "review_id": "250e70317eab0c75727deb91", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1872767", "source_review_id": "UmF0aW5nLTIyNzEwNzk2", "source_url": "https://www.ratemyprofessors.com/professor/1872767", "type": "review" }, { "instructor_name": "Mary Lindstrom", "review_date": "2014-07-14 23:51:17 +0000 UTC", "review_id": "0242e2865f69c0c8d024596b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1872767", "source_review_id": "UmF0aW5nLTIzNDQ1NzAy", "source_url": "https://www.ratemyprofessors.com/professor/1872767", "type": "review" }, { "instructor_name": "Ismor Fischer", "review_date": "2015-11-16 11:35:46 +0000 UTC", "review_id": "45244e6648d6ce9f1eec0241", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTI1NDIwMjU1", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews for Ismor Fischer praise his clear teaching and helpfulness. Historical reviews for Mary Lindstrom describe her as nice but disorganized, with open-note exams. ```json { "citations": [ { "instructor_name": "Ismor Fischer", "review_date": "2009-05-05 16:30:03 +0000 UTC", "review_id": "9c3d6b0dc3b3ef3b6ffc5c37", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTE1NzY5NDQx", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" }, { "instructor_name": "Ismor Fischer", "review_date": "2009-05-31 15:03:50 +0000 UTC", "review_id": "5b4ea8412545acee8e36de93", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTE1OTE3MTQ4", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" }, { "instructor_name": "Mary Lindstrom", "review_date": "2014-01-07 11:42:03 +0000 UTC", "review_id": "250e70317eab0c75727deb91", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1872767", "source_review_id": "UmF0aW5nLTIyNzEwNzk2", "source_url": "https://www.ratemyprofessors.com/professor/1872767", "type": "review" }, { "instructor_name": "Mary Lindstrom", "review_date": "2014-07-14 23:51:17 +0000 UTC", "review_id": "0242e2865f69c0c8d024596b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1872767", "source_review_id": "UmF0aW5nLTIzNDQ1NzAy", "source_url": "https://www.ratemyprofessors.com/professor/1872767", "type": "review" }, { "instructor_name": "Ismor Fischer", "review_date": "2015-11-16 11:35:46 +0000 UTC", "review_id": "45244e6648d6ce9f1eec0241", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTI1NDIwMjU1", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" } ] } ``` Recent recorded grades — Fall 2023: 3.71 GPA, 82.7% A/AB (n=75 letter grades); Fall 2024: 3.66 GPA, 83.5% A/AB (n=79 letter grades); Fall 2025: 3.89 GPA, 91.5% A/AB (n=106 letter grades). ```json { "citations": [ { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience Historical reviews for Ismor Fischer note he is available and caring. Historical reviews for Mary Lindstrom say she answers questions, though lectures are unclear. ```json { "citations": [ { "instructor_name": "Ismor Fischer", "review_date": "2009-05-05 16:30:03 +0000 UTC", "review_id": "9c3d6b0dc3b3ef3b6ffc5c37", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTE1NzY5NDQx", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" }, { "instructor_name": "Ismor Fischer", "review_date": "2015-11-16 11:35:46 +0000 UTC", "review_id": "45244e6648d6ce9f1eec0241", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:355768", "source_review_id": "UmF0aW5nLTI1NDIwMjU1", "source_url": "https://www.ratemyprofessors.com/professor/355768", "type": "review" }, { "instructor_name": "Mary Lindstrom", "review_date": "2014-01-07 11:42:03 +0000 UTC", "review_id": "250e70317eab0c75727deb91", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1872767", "source_review_id": "UmF0aW5nLTIyNzEwNzk2", "source_url": "https://www.ratemyprofessors.com/professor/1872767", "type": "review" }, { "instructor_name": "Mary Lindstrom", "review_date": "2014-07-14 23:51:17 +0000 UTC", "review_id": "0242e2865f69c0c8d024596b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1872767", "source_review_id": "UmF0aW5nLTIzNDQ1NzAy", "source_url": "https://www.ratemyprofessors.com/professor/1872767", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ISMOR FISCHER is recorded teaching in Fall 2008, Fall 2009. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" }, { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" } ] } ``` MARY LINDSTROM is recorded teaching in Fall 2011, Fall 2012, Fall 2013, Fall 2014, Fall 2015. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" } ] } ``` ZHENGZHENG TANG is recorded teaching in Fall 2018, Fall 2019, Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "BMI/STAT 541", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "source_record": { "entity_id": "a6d700a0-8e9e-3b52-9e26-c2761bc23b56", "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": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "Graduate/professional standing. Not open to students with credit for STAT 511 orPOP HLTH/B M I 551", "id": "n0", "kind": "all" }, { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing.", "id": "n1", "kind": "condition" }, { "children": [ "n3" ], "condition": null, "course": null, "evidence": "Not open to students with credit for STAT 511 orPOP HLTH/B M I 551", "id": "n2", "kind": "not" }, { "children": [ "n4", "n5" ], "condition": null, "course": null, "evidence": "credit for STAT 511 orPOP HLTH/B M I 551", "id": "n3", "kind": "any" }, { "children": [], "condition": "STAT 511", "course": null, "evidence": "STAT 511", "id": "n4", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 551, "minimum_grade": null, "subjects": [ "BMI", "POPHLTH" ], "timing": "prior" }, "evidence": "orPOP HLTH/B M I 551", "id": "n5", "kind": "course" } ] ``` #### 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\_18efe2de9081624a52343124 | enrollment | ckendziorski | netid | source\_identified | Christina Newton | KENDZIOR\@BIOSTAT.WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/CHRISTINA\_NEWTON | | instructor\_bbc4ba26098514620e53d8ff | enrollment | ztang2 | netid | source\_identified | Zhengzheng Tang | ZTANG2\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/ZHENGZHENG\_TANG | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:210:018472", "course_id": "BMI/STAT 541", "course_uid": "course_4c67a24aa1091c6bb6189230", "term_id": "1272", "source_course_id": "018472", "source_subject_id": "210", "title": "Introduction to Biostatistics", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:018472", "course_id": "BMI/STAT 541", "course_uid": "course_4c67a24aa1091c6bb6189230", "term_id": "1272", "source_course_id": "018472", "source_subject_id": "932", "title": "Introduction to Biostatistics", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:36478", "term_id": "1272", "source_section_id": "36478", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 80, "enrolled": 21, "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:1272:36479", "term_id": "1272", "source_section_id": "36479", "identity_basis": "class_number", "section_number": "311", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 40, "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:1272:36480", "term_id": "1272", "source_section_id": "36480", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 50, "enrolled": 20, "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:1272:36481", "term_id": "1272", "source_section_id": "36481", "identity_basis": "class_number", "section_number": "321", "section_type": "DIS", "instruction_mode": "Online Only", "capacity": 50, "enrolled": 20, "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:1272:36482", "term_id": "1272", "source_section_id": "36482", "identity_basis": "class_number", "section_number": "312", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 13, "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:1272:13200", "term_id": "1272", "source_section_id": "13200", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 80, "enrolled": 12, "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:1272:26040", "term_id": "1272", "source_section_id": "26040", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 50, "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:1272:27663", "term_id": "1272", "source_section_id": "27663", "identity_basis": "class_number", "section_number": "321", "section_type": "DIS", "instruction_mode": "Online Only", "capacity": 50, "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:1272:36663", "term_id": "1272", "source_section_id": "36663", "identity_basis": "class_number", "section_number": "311", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 7, "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:1272:36664", "term_id": "1272", "source_section_id": "36664", "identity_basis": "class_number", "section_number": "312", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 40, "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_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_eee2111ebf98a5c7665703ac", "source": "madgrades", "source_instructor_id": "340544", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHRISTINA KENDZIORSKI", "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": 3.74, "graded": 258, "counts": [ 206, 18, 17, 6, 6, 0, 5 ], "sections": 66 }, "instructor_url": "/instructors/CHRISTINA_KENDZIORSKI--instructor_eee2111ebf98a5c7665703ac" }, { "instructor_uid": "instructor_d7a8c2d1a9429e19f3545f77", "source": "madgrades", "source_instructor_id": "3111842", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ADIN-CRISTIAN ANDREI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:1508595", "source_url": "https://www.ratemyprofessors.com/professor/1508595", "match_basis": "exact_name", "observed_at": "2026-09-07 16:57:36.950494+00:00", "courses": {}, "bayesian_quality": 3.7235102700443767, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.716, "graded": 164, "counts": [ 106, 36, 12, 9, 0, 1, 0 ], "sections": 7 }, "instructor_url": "/instructors/ADIN-CRISTIAN_ANDREI" }, { "instructor_uid": "instructor_24948fd49648b2bd4fcf745b", "source": "madgrades", "source_instructor_id": "143932", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ISMOR FISCHER", "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": 111, "quality": 3.56, "difficulty": 3.17, "quality_count": 111, "difficulty_count": 111, "profile_id": "rmp:355768", "source_url": "https://www.ratemyprofessors.com/professor/355768", "match_basis": "exact_name", "observed_at": "2026-09-07 16:35:38.895046+00:00", "courses": { "course_1b76508145789f8fbc49d1fa": { "review_count": 16, "quality": 3.5, "difficulty": 2.81, "quality_count": 16, "difficulty_count": 16 }, 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"quality": 4.33, "difficulty": 3, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.5752192035949, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.118, "graded": 5157, "counts": [ 2201, 498, 1191, 202, 592, 269, 204 ], "sections": 56 }, "instructor_url": "/instructors/ISMOR_FISCHER" }, { "instructor_uid": "instructor_04a31e4c7cc2e51c7714d699", "source": "madgrades", "source_instructor_id": "333334", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARY LINDSTROM", "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": 3, "quality": 4, "difficulty": 1.33, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:1872767", "source_url": "https://www.ratemyprofessors.com/professor/1872767", "match_basis": "exact_name", "observed_at": "2026-09-07 16:20:08.174297+00:00", "courses": { 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[ 56, 29, 13, 2, 0, 0, 0 ], "sections": 10 }, "instructor_url": "/instructors/YEONHEE_PARK--instructor_7f298bad5a23ca4c7166520b" }, { "instructor_uid": "instructor_82ebf63cef873b7dadc9f479", "source": "madgrades", "source_instructor_id": "6341634", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TIMOTHY GRUENLOH", "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": 3.755, "graded": 92, "counts": [ 58, 24, 9, 1, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/TIMOTHY_GRUENLOH--instructor_82ebf63cef873b7dadc9f479" }, { "instructor_uid": "instructor_2bbea91035baf8e8cb629ca7", "source": "madgrades", "source_instructor_id": "5886347", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YANBO SHEN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 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"last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 3, "quality": 5, "difficulty": 2.33, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2093489", "source_url": "https://www.ratemyprofessors.com/professor/2093489", "match_basis": "exact_name", "observed_at": "2026-09-07 16:47:48.175945+00:00", "courses": { "course_06abb97e9793bf858754daa3": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.8345093769970395, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.488, "graded": 171, "counts": [ 78, 51, 21, 10, 7, 4, 0 ], "sections": 4 }, "instructor_url": "/instructors/COLIN_LONGHURST--instructor_7c484d0f386b7d5ccc570a22" }, { "instructor_uid": "instructor_8b32d9d748898940f2c37ffb", "source": "madgrades", "source_instructor_id": "6020766", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KIRIN HONG", "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": 3.904, "graded": 68, "counts": [ 58, 7, 3, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/KIRIN_HONG--instructor_8b32d9d748898940f2c37ffb" }, { "instructor_uid": "instructor_9d88278ec0b4fad62785c074", "source": "madgrades", "source_instructor_id": "5278038", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SAM NYCKLEMOE", "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": 3.561, "graded": 41, "counts": [ 17, 13, 10, 1, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/SAM_NYCKLEMOE--instructor_9d88278ec0b4fad62785c074" }, { "instructor_uid": "instructor_18efe2de9081624a52343124", "source": "enrollment", "source_instructor_id": "ckendziorski", "identity_basis": "netid", "identity_status": "source_identified", "name": "Christina Newton", "email": "KENDZIOR@BIOSTAT.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/CHRISTINA_NEWTON" }, { "instructor_uid": "instructor_bbc4ba26098514620e53d8ff", "source": "enrollment", "source_instructor_id": "ztang2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Zhengzheng Tang", "email": "ZTANG2@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/ZHENGZHENG_TANG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 541", "course_uid": "course_4c67a24aa1091c6bb6189230", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "CHRISTINA KENDZIORSKI", "RONALD GANGNON" ], 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Park" ], "a": 33, "ab": 16, "b": 3, "bc": 1, "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": 54, "source_aliases": [ "BMI/STAT 541" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 541", "course_uid": "course_4c67a24aa1091c6bb6189230", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "COLIN LONGHURST", "HUAN LIANG", "TIMOTHY GRUENLOH", "YANBO SHEN", "Zhengzheng Tang" ], "a": 34, "ab": 11, "b": 7, "bc": 0, "c": 1, "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": 54, "source_aliases": [ "BMI/STAT 541" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 541", "course_uid": "course_4c67a24aa1091c6bb6189230", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "KIRIN HONG", "SAM NYCKLEMOE", "Yeonhee Park", "Zhengzheng Tang" ], "a": 46, "ab": 16, "b": 12, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 78, "source_aliases": [ "BMI/STAT 541" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 541", "course_uid": "course_4c67a24aa1091c6bb6189230", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "CHRISTINA KENDZIORSKI", "KIRIN HONG", "Zhengzheng Tang" ], "a": 59, "ab": 7, "b": 5, "bc": 4, "c": 2, "d": 0, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 79, "source_aliases": [ "BMI/STAT 541" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 541", "course_uid": "course_4c67a24aa1091c6bb6189230", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "CHRISTINA KENDZIORSKI", "Zhengzheng Tang" ], "a": 94, "ab": 3, "b": 7, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 108, "source_aliases": [ "BMI/STAT 541" ] } ] ``` ### statistics #### gpa 3.731 #### graded 1256 #### counts * 836 * 259 * 124 * 17 * 10 * 1 * 9 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_4c67a24aa1091c6bb6189230-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_4c67a24aa1091c6bb6189230-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_4c67a24aa1091c6bb6189230-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_4c67a24aa1091c6bb6189230-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_4c67a24aa1091c6bb6189230-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_4c67a24aa1091c6bb6189230-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_4c67a24aa1091c6bb6189230-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_4c67a24aa1091c6bb6189230-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_4c67a24aa1091c6bb6189230-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_4c67a24aa1091c6bb6189230-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7308917197452227 #### count 1256 #### university ##### size 4146 ##### gpa Percentile 52 ##### count Percentile 88 ##### median Count 193 ##### 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 | 326 | false | | 3.2–3.6 | 1185 | false | | 3.6–4.0 | 2625 | true | #### departments ```json [ { "subject": "BMI", "comparison": { "size": 21, "gpaPercentile": 30, "countPercentile": 100, "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": "STAT", "comparison": { "size": 63, "gpaPercentile": 68, "countPercentile": 82, "medianCount": 339, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 24, "current": false }, { "range": "3.6–4.0", "count": 30, "current": true } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.525 ##### count 80 ##### university ###### size 723 ###### gpa Percentile 68 ###### count Percentile 58 ###### 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 | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1082 ##### term 1082 ##### gpa 3.6416666666666666 ##### count 60 ##### university ###### size 723 ###### gpa Percentile 75 ###### count Percentile 42 ###### 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 | false | | 3.6–4.0 | 204 | true | ##### departments ```json [ { "subject": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 10, "gpaPercentile": 100, "countPercentile": 44, "medianCount": 66.5, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 1, "current": true } ] } } ] ``` #### 1092 ##### term 1092 ##### gpa 3.825 ##### count 60 ##### university ###### size 732 ###### gpa Percentile 85 ###### count Percentile 42 ###### 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 | false | | 3.6–4.0 | 211 | true | ##### departments ```json [ { "subject": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 11, "gpaPercentile": 100, "countPercentile": 30, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 3.8680555555555554 ##### count 72 ##### university ###### size 774 ###### gpa Percentile 88 ###### count Percentile 53 ###### 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 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | true | ##### departments ```json [ { "subject": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 15, "gpaPercentile": 100, "countPercentile": 50, "medianCount": 72, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 1, "current": true } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 3.75 ##### count 84 ##### university ###### size 805 ###### gpa Percentile 82 ###### count Percentile 61 ###### 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 | false | | 3.6–4.0 | 225 | true | ##### departments ```json [ { "subject": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 100, "countPercentile": 69, "medianCount": 68.5, "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": 7, "current": false }, { "range": "3.6–4.0", "count": 1, "current": true } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.4609375 ##### count 64 ##### university ###### size 804 ###### gpa Percentile 59 ###### 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 | 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": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 85, "countPercentile": 38, "medianCount": 78.5, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.787671232876712 ##### count 73 ##### university ###### size 851 ###### gpa Percentile 82 ###### count Percentile 54 ###### 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": "STAT", "comparison": { "size": 16, "gpaPercentile": 100, "countPercentile": 53, "medianCount": 72, "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": 8, "current": false }, { "range": "3.6–4.0", "count": 1, "current": true } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.628205128205128 ##### count 39 ##### university ###### size 853 ###### gpa Percentile 70 ###### count Percentile 18 ###### 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 | false | | 3.6–4.0 | 268 | true | ##### departments ```json [ { "subject": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 16, "gpaPercentile": 100, "countPercentile": 27, "medianCount": 44.5, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 1, "current": true } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.76 ##### count 50 ##### university ###### size 918 ###### gpa Percentile 81 ###### count Percentile 35 ###### 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": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 20, "gpaPercentile": 95, "countPercentile": 37, "medianCount": 55, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.6702127659574466 ##### count 47 ##### university ###### size 954 ###### gpa Percentile 70 ###### count Percentile 32 ###### 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": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 91, "countPercentile": 48, "medianCount": 50.5, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.84 ##### count 50 ##### university ###### size 991 ###### gpa Percentile 83 ###### count Percentile 34 ###### 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 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 100, "countPercentile": 38, "medianCount": 56, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.8135593220338984 ##### count 59 ##### university ###### size 1025 ###### gpa Percentile 81 ###### count Percentile 41 ###### 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": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 91, "countPercentile": 30, "medianCount": 65.5, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.811320754716981 ##### count 53 ##### university ###### size 1077 ###### gpa Percentile 77 ###### count Percentile 37 ###### 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": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 92, "countPercentile": 19, "medianCount": 74, "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": 17, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.6018518518518516 ##### count 54 ##### university ###### size 1102 ###### gpa Percentile 55 ###### count Percentile 38 ###### 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": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 30, "gpaPercentile": 72, "countPercentile": 24, "medianCount": 80.5, "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": 10, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.8222222222222224 ##### count 45 ##### university ###### size 1111 ###### gpa Percentile 72 ###### count Percentile 28 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 88, "countPercentile": 17, "medianCount": 100, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.7641509433962264 ##### count 53 ##### university ###### size 1157 ###### gpa Percentile 66 ###### count Percentile 39 ###### 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 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 74, "countPercentile": 42, "medianCount": 55.5, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.7264150943396226 ##### count 53 ##### university ###### size 1216 ###### gpa Percentile 61 ###### count Percentile 39 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 84, "countPercentile": 35, "medianCount": 60.5, "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": 11, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.7133333333333334 ##### count 75 ##### university ###### size 1295 ###### gpa Percentile 56 ###### count Percentile 54 ###### 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": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 34, "gpaPercentile": 73, "countPercentile": 61, "medianCount": 55, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.6645569620253164 ##### count 79 ##### university ###### size 1333 ###### gpa Percentile 49 ###### count Percentile 56 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 77, "countPercentile": 55, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.8867924528301887 ##### count 106 ##### university ###### size 1320 ###### gpa Percentile 77 ###### count Percentile 68 ###### 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": "BMI", "comparison": null }, { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 89, "countPercentile": 64, "medianCount": 81, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4146 ###### gpa 3.655576857310451 ###### top Share 81.61127984016484 ###### count 193 ##### BMI ###### size 21 ###### gpa 3.8097603671680234 ###### top Share 91.53469120685067 ###### count 103 ##### STAT ###### size 63 ###### gpa 3.5564392939921423 ###### top Share 76.140046010654 ###### count 339 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### STAT ###### size 10 ###### gpa 3.181469252605204 ###### top Share 50.79697144214053 ###### count 66.5 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### STAT ###### size 11 ###### gpa 3.2851296989222463 ###### top Share 61.121424545066226 ###### count 65 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### STAT ###### size 15 ###### gpa 3.2431139797798068 ###### top Share 54.806129569025835 ###### count 72 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### STAT ###### size 14 ###### gpa 3.242406375705586 ###### top Share 57.34276482904032 ###### count 68.5 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### STAT ###### size 14 ###### gpa 3.247214504889537 ###### top Share 58.600170104917346 ###### count 78.5 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### STAT ###### size 16 ###### gpa 3.261044965144187 ###### top Share 59.360682472524054 ###### count 72 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### STAT ###### size 16 ###### gpa 3.240435267681857 ###### top Share 58.10171174479488 ###### count 44.5 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### STAT ###### size 20 ###### gpa 3.247281119355238 ###### top Share 58.400370581589016 ###### count 55 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### STAT ###### size 24 ###### gpa 3.394300783591793 ###### top Share 65.51183483352922 ###### count 50.5 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### STAT ###### size 25 ###### gpa 3.3324928117291264 ###### top Share 61.945618937548005 ###### count 56 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### STAT ###### size 24 ###### gpa 3.4023821420534044 ###### top Share 65.90044412864664 ###### count 65.5 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### STAT ###### size 27 ###### gpa 3.349790708103796 ###### top Share 62.94637491184082 ###### count 74 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### STAT ###### size 30 ###### gpa 3.4022744829589433 ###### top Share 67.29048111947832 ###### count 80.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### STAT ###### size 25 ###### gpa 3.4555542540486095 ###### top Share 69.54152339778892 ###### count 100 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### STAT ###### size 32 ###### gpa 3.4861059411832307 ###### top Share 71.46520654148341 ###### count 55.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### STAT ###### size 32 ###### gpa 3.4024781451477413 ###### top Share 66.63145704464162 ###### count 60.5 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### STAT ###### size 34 ###### gpa 3.4558758327213903 ###### top Share 69.10154863162224 ###### count 55 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### STAT ###### size 32 ###### gpa 3.423918594183889 ###### top Share 68.17668754351217 ###### count 70.5 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### STAT ###### size 29 ###### gpa 3.415022952129974 ###### top Share 64.95385808199006 ###### count 81 ## instructor Trends ```json [ { "uid": "instructor_04a31e4c7cc2e51c7714d699", "name": "MARY LINDSTROM", "count": 273, "terms": [ { "term": "1122", "count": 64, "sections": 1, "gpa": 3.4609375 }, { "term": "1132", "count": 73, "sections": 1, "gpa": 3.787671232876712 }, { "term": "1142", "count": 39, "sections": 1, "gpa": 3.628205128205128 }, { "term": "1152", "count": 50, "sections": 1, "gpa": 3.76 }, { "term": "1162", "count": 47, "sections": 1, "gpa": 3.6702127659574466 } ] }, { "uid": "instructor_50366ac53258a642bf66b0dd", "name": "ZHENGZHENG TANG", "count": 234, "terms": [ { "term": "1192", "count": 53, "sections": 1, "gpa": 3.811320754716981 }, { "term": "1202", "count": 54, "sections": 1, "gpa": 3.6018518518518516 }, { "term": "1232", "count": 14, "sections": 1, "gpa": 3.6785714285714284 }, { "term": "1242", "count": 34, "sections": 1, "gpa": 3.8970588235294117 }, { "term": "1252", "count": 34, "sections": 1, "gpa": 3.911764705882353 }, { "term": "1262", "count": 45, "sections": 1, "gpa": 3.922222222222222 } ] }, { "uid": "instructor_eee2111ebf98a5c7665703ac", "name": "CHRISTINA KENDZIORSKI", "count": 166, "terms": [ { "term": "1072", "count": 60, "sections": 1, "gpa": 3.55 }, { "term": "1252", "count": 45, "sections": 1, "gpa": 3.477777777777778 }, { "term": "1262", "count": 61, "sections": 1, "gpa": 3.860655737704918 } ] }, { "uid": "instructor_26cb97dac2a1ecf8269d5066", "name": "RYAN ZEA", "count": 162, "terms": [ { "term": "1172", "count": 50, "sections": 1, "gpa": 3.84 }, { "term": "1182", "count": 59, "sections": 1, "gpa": 3.8135593220338984 }, { "term": "1192", "count": 53, "sections": 1, "gpa": 3.811320754716981 } ] }, { "uid": "instructor_d7a8c2d1a9429e19f3545f77", "name": "ADIN-CRISTIAN ANDREI", "count": 144, "terms": [ { "term": "1082", "count": 60, "sections": 1, "gpa": 3.6416666666666666 }, { "term": "1112", "count": 84, "sections": 1, "gpa": 3.75 } ] }, { "uid": "instructor_24948fd49648b2bd4fcf745b", "name": "ISMOR FISCHER", "count": 132, "terms": [ { "term": "1092", "count": 60, "sections": 1, "gpa": 3.825 }, { "term": "1102", "count": 72, "sections": 1, "gpa": 3.8680555555555554 } ] }, { "uid": "instructor_7f298bad5a23ca4c7166520b", "name": "YEONHEE PARK", "count": 94, "terms": [ { "term": "1222", "count": 53, "sections": 1, "gpa": 3.7641509433962264 }, { "term": "1242", "count": 41, "sections": 1, "gpa": 3.5609756097560976 } ] }, { "uid": "instructor_82ebf63cef873b7dadc9f479", "name": "TIMOTHY GRUENLOH", "count": 92, "terms": [ { "term": "1222", "count": 53, "sections": 1, "gpa": 3.7641509433962264 }, { "term": "1232", "count": 39, "sections": 1, "gpa": 3.7435897435897436 } ] }, { "uid": "instructor_8b32d9d748898940f2c37ffb", "name": "KIRIN HONG", "count": 68, "terms": [ { "term": "1242", "count": 34, "sections": 1, "gpa": 3.8970588235294117 }, { "term": "1252", "count": 34, "sections": 1, "gpa": 3.911764705882353 } ] }, { "uid": "instructor_cdf956560b5b768d7a8690ef", "name": "REBECCA KOSCIK", "count": 59, "terms": [ { "term": "1182", "count": 59, "sections": 1, "gpa": 3.8135593220338984 } ] }, { "uid": "instructor_f45f69848959f47e2212e158", "name": "PAUL RATHOUZ", "count": 50, "terms": [ { "term": "1172", "count": 50, "sections": 1, "gpa": 3.84 } ] }, { "uid": "instructor_57424157730da96ec177f067", "name": "JIWEI ZHAO", "count": 45, "terms": [ { "term": "1212", "count": 45, "sections": 1, "gpa": 3.8222222222222224 } ] }, { "uid": "instructor_9d88278ec0b4fad62785c074", "name": "SAM NYCKLEMOE", "count": 41, "terms": [ { "term": "1242", "count": 41, "sections": 1, "gpa": 3.5609756097560976 } ] }, { "uid": "instructor_32eb8094ebab67c3f21911f5", "name": "HUAN LIANG", "count": 39, "terms": [ { "term": "1232", "count": 39, "sections": 1, "gpa": 3.7435897435897436 } ] }, { "uid": "instructor_7c484d0f386b7d5ccc570a22", "name": "COLIN LONGHURST", "count": 39, "terms": [ { "term": "1232", "count": 39, "sections": 1, "gpa": 3.7435897435897436 } ] }, { "uid": "instructor_8059223b542b6452f4aa2cae", "name": "RONALD GANGNON", "count": 20, "terms": [ { "term": "1072", "count": 20, "sections": 1, "gpa": 3.45 } ] }, { "uid": "instructor_2bbea91035baf8e8cb629ca7", "name": "YANBO SHEN", "count": 14, "terms": [ { "term": "1232", "count": 14, "sections": 1, "gpa": 3.6785714285714284 } ] } ] ``` ## following | code | title | | --------------- | ---------------------------------------- | | BMI/COMPSCI 567 | BIOMEDICAL IMAGE ANALYSIS | | BMI/POPHLTH 552 | REGRESSION METHODS FOR POPULATION HEALTH | | BMI/STAT 542 | INTRODUCTION TO CLINICAL TRIALS I | ## projection ### target 1272 ### interval #### lower 3.57 #### upper 3.95 #### coverage 80 #### terms 8 ### gpa 3.761510028111838 ### grades | grade | percentage | | ----- | ------------------ | | A | 73.18779548568337 | | AB | 13.85168601877763 | | B | 9.21817570238199 | | BC | 1.9693576451154444 | | C | 1.1704992913970589 | | D | 0 | | F | 0.6024858566445153 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 366 ### same Season true ### historical Range * 3.664556962025316 * 3.886792452830189 ### backtest #### terms 8 #### gpa Error 0.07772544908285822 #### mix Error 15.304612988770353