# BMI/STAT 877: Statistical Methods for Molecular Biology | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BMI_STAT_877) ## 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 13a7cd99df3330dda497e3ab48960f0b2454c2f620c777175ede10e7e7f22ef1 ### course id BMI/STAT 877 ### course uid course\_b5139d57a771c9b1231f53b8 ### catalog version id 51d92e3f6b7f3b190dd10e66a1b6484eaa4b3ec7c83ab4a1dd23886ebfccd6e4 ### course number 877 ### subjects * BMI * STAT ### title STATISTICAL METHODS FOR MOLECULAR BIOLOGY ### description Statistical and computational methods in statistical genomics for human and experimental populations. Review methods for quality control, experimental design, clustering, network analysis, and other downstream analysis of next-generation sequencing studies along with methods for genome wide association studies. ### requirements text Graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id e810c32e9eaa2418ad9099e4591c34bcfe0369686e46d3a17f834cf2386b51db ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers statistical and computational methods for analyzing genomic data, including NGS and GWAS. ### llm topics * Statistical genomics * Next-generation sequencing (NGS) analysis * Genome-wide association studies (GWAS) ### llm skills * Quality control and experimental design for sequencing studies * Statistical methods for genome-wide association studies (GWAS) * Clustering and network analysis for genomic data ### llm assumed background None recorded. ### llm search phrases * statistical genomics methods * next-generation sequencing analysis * GWAS statistical methods * bioinformatics computational statistics ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash b459c07983567006ba13edf7cfee2a80629af1ec5b132174792e682a28fcadde #### course id BMI/STAT 877 #### current instructors None recorded. #### difficulty workload Historical reviews of Qiongshi Lu: One reviewer indicates that completing homework and attending class leads to an A grade, suggesting manageable workload requirements for success. ```json { "citations": [ { "instructor_name": "Qiongshi Lu", "review_date": "2025-08-24 17:05:03 +0000 UTC", "review_id": "01001a3790e496597820ed72", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2708522", "source_review_id": "UmF0aW5nLTQxNTk1OTI1", "source_url": "https://www.ratemyprofessors.com/professor/2708522", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Qiongshi Lu present conflicting experiences. One reviewer criticizes his teaching style and patience, while another claims he is supportive and offers high grades for consistent effort. A third review describes him as bullying. ```json { "citations": [ { "instructor_name": "Qiongshi Lu", "review_date": "2021-07-13 18:40:45 +0000 UTC", "review_id": "6b1a7eef47143bfc9979f23f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2708522", "source_review_id": "UmF0aW5nLTM0OTY3MjQ5", "source_url": "https://www.ratemyprofessors.com/professor/2708522", "type": "review" }, { "instructor_name": "Qiongshi Lu", "review_date": "2023-09-26 20:01:44 +0000 UTC", "review_id": "4285e1dae6b23f5d9ccbff00", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2708522", "source_review_id": "UmF0aW5nLTM4MjM2MzY2", "source_url": "https://www.ratemyprofessors.com/professor/2708522", "type": "review" }, { "instructor_name": "Qiongshi Lu", "review_date": "2025-08-24 17:05:03 +0000 UTC", "review_id": "01001a3790e496597820ed72", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2708522", "source_review_id": "UmF0aW5nLTQxNTk1OTI1", "source_url": "https://www.ratemyprofessors.com/professor/2708522", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Reviews for historical instructor Qiongshi Lu are polarized, with some citing poor teaching quality and bullying while others report high grades for attendance and homework completion. ```json { "citations": [ { "instructor_name": "Qiongshi Lu", "review_date": "2021-07-13 18:40:45 +0000 UTC", "review_id": "6b1a7eef47143bfc9979f23f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2708522", "source_review_id": "UmF0aW5nLTM0OTY3MjQ5", "source_url": "https://www.ratemyprofessors.com/professor/2708522", "type": "review" }, { "instructor_name": "Qiongshi Lu", "review_date": "2023-09-26 20:01:44 +0000 UTC", "review_id": "4285e1dae6b23f5d9ccbff00", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2708522", "source_review_id": "UmF0aW5nLTM4MjM2MzY2", "source_url": "https://www.ratemyprofessors.com/professor/2708522", "type": "review" }, { "instructor_name": "Qiongshi Lu", "review_date": "2025-08-24 17:05:03 +0000 UTC", "review_id": "01001a3790e496597820ed72", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2708522", "source_review_id": "UmF0aW5nLTQxNTk1OTI1", "source_url": "https://www.ratemyprofessors.com/professor/2708522", "type": "review" } ] } ``` Recent recorded grades — Fall 2020: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2022: 3.93 GPA, 95.2% A/AB (n=21 letter grades); Spring 2024: 3.93 GPA, 93.3% A/AB (n=15 letter grades). ```json { "citations": [ { "course_id": "BMI/STAT 877", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "bea2dcbd-48d7-3f9a-bec5-dd415b68ae94", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "BMI/STAT 877", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "bea2dcbd-48d7-3f9a-bec5-dd415b68ae94", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "BMI/STAT 877", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "bea2dcbd-48d7-3f9a-bec5-dd415b68ae94", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" } ] } ``` #### student experience Historical reviews of Qiongshi Lu: Students report inconsistent lecture notations, a lack of patience, and an unengaging teaching style, with one reviewer describing the instructor as bullying. ```json { "citations": [ { "instructor_name": "Qiongshi Lu", "review_date": "2021-07-13 18:40:45 +0000 UTC", "review_id": "6b1a7eef47143bfc9979f23f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2708522", "source_review_id": "UmF0aW5nLTM0OTY3MjQ5", "source_url": "https://www.ratemyprofessors.com/professor/2708522", "type": "review" }, { "instructor_name": "Qiongshi Lu", "review_date": "2023-09-26 20:01:44 +0000 UTC", "review_id": "4285e1dae6b23f5d9ccbff00", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2708522", "source_review_id": "UmF0aW5nLTM4MjM2MzY2", "source_url": "https://www.ratemyprofessors.com/professor/2708522", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### 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 None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_a37c0a0d4767f5a92e009e3f", "source": "madgrades", "source_instructor_id": "3801422", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SUNDUZ KELES", "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": 2, "quality": 4, "difficulty": 4, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:1142647", "source_url": "https://www.ratemyprofessors.com/professor/1142647", "match_basis": "exact_name", "observed_at": "2026-09-07 16:04:24.281704+00:00", "courses": { "course_704c9a2365bd1c8bed22a552": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_31fb5b7b6bf20ca63e33bd46": { "review_count": 1, "quality": 3, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.690623439587814, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.407, "graded": 354, "counts": [ 136, 113, 62, 21, 11, 6, 5 ], "sections": 74 }, "instructor_url": "/instructors/SUNDUZ_KELES--instructor_a37c0a0d4767f5a92e009e3f" }, { "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_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_3e2577cefc7d1487616ef7c4", "source": "madgrades", "source_instructor_id": "5591917", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZIJIAN NI", "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": 3.929, "graded": 21, "counts": [ 20, 0, 0, 1, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/ZIJIAN_NI--instructor_3e2577cefc7d1487616ef7c4" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 877", "course_uid": "course_b5139d57a771c9b1231f53b8", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "Sunduz Keles" ], "a": 8, "ab": 2, "b": 1, "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": 12, "source_aliases": [ "BMI/STAT 877" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 877", "course_uid": "course_b5139d57a771c9b1231f53b8", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "SIJIAN WANG" ], "a": 10, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 10, "source_aliases": [ "BMI/STAT 877" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 877", "course_uid": "course_b5139d57a771c9b1231f53b8", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "CHRISTINA KENDZIORSKI" ], "a": 12, "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": 15, "source_aliases": [ "BMI/STAT 877" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 877", "course_uid": "course_b5139d57a771c9b1231f53b8", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "CHRISTINA KENDZIORSKI" ], "a": 13, "ab": 0, "b": 0, "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": 14, "source_aliases": [ "BMI/STAT 877" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 877", "course_uid": "course_b5139d57a771c9b1231f53b8", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "CHRISTINA KENDZIORSKI" ], "a": 17, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 18, "source_aliases": [ "BMI/STAT 877" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 877", "course_uid": "course_b5139d57a771c9b1231f53b8", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "CHRISTINA KENDZIORSKI" ], "a": 7, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 1, "total": 8, "source_aliases": [ "BMI/STAT 877" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 877", "course_uid": "course_b5139d57a771c9b1231f53b8", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "CHRISTINA KENDZIORSKI", "ZIJIAN NI" ], "a": 20, "ab": 0, "b": 0, "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/STAT 877" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI/STAT 877", "course_uid": "course_b5139d57a771c9b1231f53b8", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "CHRISTINA KENDZIORSKI" ], "a": 14, "ab": 0, "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": 1, "other": 0, "total": 17, "source_aliases": [ "BMI/STAT 877" ] } ] ``` ### statistics #### gpa 3.896 #### graded 111 #### counts * 101 * 5 * 2 * 2 * 0 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_b5139d57a771c9b1231f53b8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_b5139d57a771c9b1231f53b8-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_b5139d57a771c9b1231f53b8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_b5139d57a771c9b1231f53b8-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_b5139d57a771c9b1231f53b8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_b5139d57a771c9b1231f53b8-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_b5139d57a771c9b1231f53b8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_b5139d57a771c9b1231f53b8-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8963963963963963 #### count 111 #### university ##### size 3512 ##### gpa Percentile 77 ##### count Percentile 53 ##### median Count 102 ##### 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 | 12 | false | | 2.8–3.2 | 319 | false | | 3.2–3.6 | 1052 | false | | 3.6–4.0 | 2128 | true | #### departments ```json [ { "subject": "BMI", "comparison": { "size": 14, "gpaPercentile": 77, "countPercentile": 92, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } }, { "subject": "STAT", "comparison": { "size": 57, "gpaPercentile": 91, "countPercentile": 41, "medianCount": 130, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 24, "current": false }, { "range": "3.6–4.0", "count": 25, "current": true } ] } } ] ``` ### terms #### 1104 ##### term 1104 ##### gpa 3.7083333333333335 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1124 ##### term 1124 ##### gpa 4 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1144 ##### term 1144 ##### gpa 3.9 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1174 ##### term 1174 ##### gpa 4 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1194 ##### term 1194 ##### gpa 3.7777777777777777 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1212 ##### term 1212 ##### gpa 4 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1224 ##### term 1224 ##### gpa 3.9285714285714284 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | #### 1244 ##### term 1244 ##### gpa 3.933333333333333 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | | STAT | | ### benchmarks #### all ##### school ###### size 3512 ###### gpa 3.636177274002139 ###### top Share 80.41766017466225 ###### count 102 ##### BMI ###### size 14 ###### gpa 3.7859770204404053 ###### top Share 89.61146173561815 ###### count 66.5 ##### STAT ###### size 57 ###### gpa 3.5272655675539424 ###### top Share 74.26534526747356 ###### count 130 #### terms ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### STAT ###### size 11 ###### gpa 3.2176332921053334 ###### top Share 53.16837069213127 ###### count 89 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### STAT ###### size 14 ###### gpa 3.2125467513502213 ###### top Share 52.75719815805796 ###### count 73.5 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### STAT ###### size 14 ###### gpa 3.0970281238579784 ###### top Share 51.741770775379614 ###### count 74.5 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### STAT ###### size 22 ###### gpa 3.3391231320477925 ###### top Share 62.80825113292103 ###### count 71.5 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### STAT ###### size 23 ###### gpa 3.3818127863152334 ###### top Share 66.9295898310719 ###### count 79 ##### 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 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### STAT ###### size 27 ###### gpa 3.4650681869904103 ###### top Share 69.88606041738046 ###### count 74 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### STAT ###### size 29 ###### gpa 3.390846810323202 ###### top Share 64.2629736611174 ###### count 62 ## instructor Trends ```json [ { "uid": "instructor_eee2111ebf98a5c7665703ac", "name": "CHRISTINA KENDZIORSKI", "count": 89, "terms": [ { "term": "1144", "count": 15, "sections": 1, "gpa": 3.9 }, { "term": "1174", "count": 13, "sections": 1, "gpa": 4 }, { "term": "1194", "count": 18, "sections": 1, "gpa": 3.7777777777777777 }, { "term": "1212", "count": 7, "sections": 1, "gpa": 4 }, { "term": "1224", "count": 21, "sections": 1, "gpa": 3.9285714285714284 }, { "term": "1244", "count": 15, "sections": 1, "gpa": 3.933333333333333 } ] }, { "uid": "instructor_3e2577cefc7d1487616ef7c4", "name": "ZIJIAN NI", "count": 21, "terms": [ { "term": "1224", "count": 21, "sections": 1, "gpa": 3.9285714285714284 } ] }, { "uid": "instructor_a37c0a0d4767f5a92e009e3f", "name": "SUNDUZ KELES", "count": 12, "terms": [ { "term": "1104", "count": 12, "sections": 1, "gpa": 3.7083333333333335 } ] }, { "uid": "instructor_dbc68f59fd104024822f7fb7", "name": "SIJIAN WANG", "count": 10, "terms": [ { "term": "1124", "count": 10, "sections": 1, "gpa": 4 } ] } ] ``` ## following None recorded.