# MHR 614: People Analytics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MHR_614) ## 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 42d7640ea419a508df66210072300a8f5e9f210cc800cad9813fa3324e0f4e3a ### course id MHR 614 ### course uid course\_8828dd023b03137c92f88dfe ### catalog version id ae8148209ff96697acf70ebb72a726170b4027bde2cc7af3b290c55ce74627b5 ### course number 614 ### subjects * MHR ### title PEOPLE ANALYTICS ### description Technological advances have led many organizations to adopt a more "data-driven" approach to managing their employees. It is therefore critical for managers to understand how to integrate data analytics into their organization's human resource management or risk being at a competitive disadvantage. Build hands-on skills to analyze data in ways that facilitate the development and evaluation of human capital policies, practices, programs, and strategies. Learn to take advantage of data and analytics in decision-making processes. Emphasis on experiential learning using data from various organizational contexts. ### requirements text None ### credits min 2 ### credits max 3 ### credit offering ids * 1272:236:026216 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 16a5bfaf80c7d15f03a3404a330b7f76943fc5862d7c9500058aba103aaea80a ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MHR 614 People Analytics teaches hands-on data analysis skills to evaluate human capital policies and support data-driven decision-making in HR. ### llm topics * Data-driven human resource management * Experiential learning with organizational data ### llm skills * Analyze data for human capital policy and strategy evaluation * Use data and analytics in decision-making ### llm assumed background None recorded. ### llm search phrases * people analytics MHR 614 * data driven HR management * human capital analytics skills * experiential learning HR data ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 5c5c2712461dea4bb4129d66c8856ac112eee33f28914da9f96a5f96259ba611 #### course id MHR 614 #### current instructors ```json [ { "instructor_uid": "instructor_d0924189e49ef55e2ec1493d", "message": "No course-specific reviews available", "name": "Barry Gerhart", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2220319", "summary": [] }, { "instructor_uid": "instructor_6e2bdc5acb01eaf177a30d01", "message": "No course-specific reviews available", "name": "Shan He", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:5054446", "summary": [ { "citations": [ { "course_id": "MHR 614", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d27c7a67-38f1-3d30-8ec2-a6f8c993614d", "source_record": { "entity_id": "d27c7a67-38f1-3d30-8ec2-a6f8c993614d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MHR 614", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d27c7a67-38f1-3d30-8ec2-a6f8c993614d", "source_record": { "entity_id": "d27c7a67-38f1-3d30-8ec2-a6f8c993614d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MHR 614", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d27c7a67-38f1-3d30-8ec2-a6f8c993614d", "source_record": { "entity_id": "d27c7a67-38f1-3d30-8ec2-a6f8c993614d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.85 GPA, 100.0% A/AB (n=44 letter grades); Spring 2026: 3.82 GPA, 92.6% A/AB (n=68 letter grades). Includes jointly taught sections." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.80 GPA, 91.9% A/AB (n=37 letter grades); Spring 2025: 3.85 GPA, 100.0% A/AB (n=44 letter grades); Spring 2026: 3.82 GPA, 92.6% A/AB (n=68 letter grades). ```json { "citations": [ { "course_id": "MHR 614", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d27c7a67-38f1-3d30-8ec2-a6f8c993614d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MHR 614", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d27c7a67-38f1-3d30-8ec2-a6f8c993614d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MHR 614", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d27c7a67-38f1-3d30-8ec2-a6f8c993614d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history SHAN HE is recorded teaching in Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MHR 614", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d27c7a67-38f1-3d30-8ec2-a6f8c993614d", "source_record": { "entity_id": "d27c7a67-38f1-3d30-8ec2-a6f8c993614d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MHR 614", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d27c7a67-38f1-3d30-8ec2-a6f8c993614d", "source_record": { "entity_id": "d27c7a67-38f1-3d30-8ec2-a6f8c993614d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "MHR 614", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "d27c7a67-38f1-3d30-8ec2-a6f8c993614d", "source_record": { "entity_id": "d27c7a67-38f1-3d30-8ec2-a6f8c993614d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "None", "course": null, "evidence": "None", "id": "source_requirements", "kind": "condition" } ] ``` #### notes * Display fallback using original requirements text; not an LLM-parsed rule. #### root source\_requirements #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_d0924189e49ef55e2ec1493d", "source": "enrollment", "source_instructor_id": "bagerhart", "identity_basis": "netid", "identity_status": "source_identified", "name": "Barry Gerhart", "email": "BGERHART@BUS.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", "ratings": { "review_count": 3, "quality": 3.33, "difficulty": 2.67, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2220319", "source_url": "https://www.ratemyprofessors.com/professor/2220319", "match_basis": "exact_name", "observed_at": "2026-09-07 16:52:21.971458+00:00", "courses": { "course_76877f45f89bbc8dcd6065ba": { "review_count": 3, "quality": 3.33, "difficulty": 2.67, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.6166832900405175, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/BARRY_GERHART" }, { "instructor_uid": "instructor_6e2bdc5acb01eaf177a30d01", "source": "enrollment", "source_instructor_id": "she326", "identity_basis": "netid", "identity_status": "source_identified", "name": "Shan He", "email": "SHE326@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/SHAN_HE--instructor_6e2bdc5acb01eaf177a30d01" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:236:026216", "course_id": "MHR 614", "course_uid": "course_8828dd023b03137c92f88dfe", "term_id": "1272", "source_course_id": "026216", "source_subject_id": "236", "title": "People Analytics", "credits_min": 2, "credits_max": 3, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:35365", "term_id": "1272", "source_section_id": "35365", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 36, "enrolled": 36, "waitlisted": 1, "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:1272:35366", "term_id": "1272", "source_section_id": "35366", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 36, "enrolled": 31, "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_889188d7cc318517357cc390", "source": "madgrades", "source_instructor_id": "6314437", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JINTING ZHOU", "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": 3.863, "graded": 492, "counts": [ 399, 66, 17, 7, 2, 1, 0 ], "sections": 14 }, "instructor_url": "/instructors/JINTING_ZHOU--instructor_889188d7cc318517357cc390" }, { "instructor_uid": "instructor_a1c23e680f826af89d49ca7e", "source": "madgrades", "source_instructor_id": "6175504", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JIRS MEURIS", "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": 3.777, "graded": 700, "counts": [ 477, 162, 42, 14, 4, 0, 1 ], "sections": 30 }, "instructor_url": "/instructors/JIRS_MEURIS--instructor_a1c23e680f826af89d49ca7e" }, { "instructor_uid": "instructor_f9067d1314f52289a4b28cdb", "source": "madgrades", "source_instructor_id": "6642735", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHAN HE", "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": 3.652, "graded": 454, "counts": [ 258, 109, 70, 11, 3, 1, 2 ], "sections": 10 }, "instructor_url": "/instructors/SHAN_HE--instructor_f9067d1314f52289a4b28cdb" }, { "instructor_uid": "instructor_3bdab9bdcec147e4d3dc967e", "source": "madgrades", "source_instructor_id": "3113611", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHARLIE O TREVOR", "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": 3.792, "graded": 1604, "counts": [ 1124, 330, 127, 18, 3, 0, 2 ], "sections": 73 }, "instructor_url": "/instructors/CHARLIE_O_TREVOR" }, { "instructor_uid": "instructor_6e2bdc5acb01eaf177a30d01", "source": "enrollment", "source_instructor_id": "she326", "identity_basis": "netid", "identity_status": "source_identified", "name": "Shan He", "email": "SHE326@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/SHAN_HE--instructor_6e2bdc5acb01eaf177a30d01" }, { "instructor_uid": "instructor_d0924189e49ef55e2ec1493d", "source": "enrollment", "source_instructor_id": "bagerhart", "identity_basis": "netid", "identity_status": "source_identified", "name": "Barry Gerhart", "email": "BGERHART@BUS.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", "ratings": { "review_count": 3, "quality": 3.33, "difficulty": 2.67, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2220319", "source_url": "https://www.ratemyprofessors.com/professor/2220319", "match_basis": "exact_name", "observed_at": "2026-09-07 16:52:21.971458+00:00", "courses": { "course_76877f45f89bbc8dcd6065ba": { "review_count": 3, "quality": 3.33, "difficulty": 2.67, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.6166832900405175, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/BARRY_GERHART" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 614", "course_uid": "course_8828dd023b03137c92f88dfe", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Jinting Zhou", "Jirs Meuris" ], "a": 18, "ab": 4, "b": 0, "bc": 2, "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": 26, "source_aliases": [ "MHR 614" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 614", "course_uid": "course_8828dd023b03137c92f88dfe", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Jirs Meuris" ], "a": 26, "ab": 8, "b": 2, "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": 37, "source_aliases": [ "MHR 614" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 614", "course_uid": "course_8828dd023b03137c92f88dfe", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Jirs Meuris", "Shan He" ], "a": 31, "ab": 13, "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": 44, "source_aliases": [ "MHR 614" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 614", "course_uid": "course_8828dd023b03137c92f88dfe", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Charlie Trevor", "Shan He" ], "a": 55, "ab": 8, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 69, "source_aliases": [ "MHR 614" ] } ] ``` ### statistics #### gpa 3.81 #### graded 174 #### counts * 130 * 33 * 6 * 3 * 1 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_8828dd023b03137c92f88dfe-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_8828dd023b03137c92f88dfe-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_8828dd023b03137c92f88dfe-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_8828dd023b03137c92f88dfe-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_8828dd023b03137c92f88dfe-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_8828dd023b03137c92f88dfe-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_8828dd023b03137c92f88dfe-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_8828dd023b03137c92f88dfe-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.810344827586207 #### count 174 #### university ##### size 2701 ##### gpa Percentile 59 ##### count Percentile 68 ##### median Count 104 ##### 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 | 13 | false | | 2.8–3.2 | 172 | false | | 3.2–3.6 | 693 | false | | 3.6–4.0 | 1823 | true | #### departments ```json [ { "subject": "MHR", "comparison": { "size": 35, "gpaPercentile": 65, "countPercentile": 71, "medianCount": 111, "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": 8, "current": false }, { "range": "3.6–4.0", "count": 27, "current": true } ] } } ] ``` ### terms #### 1234 ##### term 1234 ##### gpa 3.72 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1244 ##### term 1244 ##### gpa 3.7972972972972974 ##### count 37 ##### university ###### size 1241 ###### gpa Percentile 68 ###### count Percentile 15 ###### 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 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 20, "gpaPercentile": 53, "countPercentile": 16, "medianCount": 52.5, "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": 7, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.852272727272727 ##### count 44 ##### university ###### size 1289 ###### gpa Percentile 74 ###### count Percentile 27 ###### 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 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 16, "gpaPercentile": 73, "countPercentile": 27, "medianCount": 62, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.823529411764706 ##### count 68 ##### university ###### size 1283 ###### gpa Percentile 66 ###### count Percentile 51 ###### 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 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 15, "gpaPercentile": 79, "countPercentile": 50, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 2701 ###### gpa 3.6818072807746525 ###### top Share 83.341103666219 ###### count 104 ##### MHR ###### size 35 ###### gpa 3.732080332194172 ###### top Share 86.94907765202318 ###### count 111 #### terms ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### MHR ###### size 15 ###### gpa 3.6796336120822173 ###### top Share 84.63163473406175 ###### count 67 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### MHR ###### size 20 ###### gpa 3.7145770777225 ###### top Share 85.30036593342922 ###### count 52.5 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### MHR ###### size 16 ###### gpa 3.7279133352533855 ###### top Share 87.84863926346938 ###### count 62 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### MHR ###### size 15 ###### gpa 3.6881617401515574 ###### top Share 85.59922155991862 ###### count 68 ## instructor Trends ```json [ { "uid": "instructor_f9067d1314f52289a4b28cdb", "name": "SHAN HE", "count": 112, "terms": [ { "term": "1254", "count": 44, "sections": 1, "gpa": 3.852272727272727 }, { "term": "1264", "count": 68, "sections": 2, "gpa": 3.823529411764706 } ] }, { "uid": "instructor_a1c23e680f826af89d49ca7e", "name": "JIRS MEURIS", "count": 106, "terms": [ { "term": "1234", "count": 25, "sections": 1, "gpa": 3.72 }, { "term": "1244", "count": 37, "sections": 1, "gpa": 3.7972972972972974 }, { "term": "1254", "count": 44, "sections": 1, "gpa": 3.852272727272727 } ] }, { "uid": "instructor_3bdab9bdcec147e4d3dc967e", "name": "CHARLIE O TREVOR", "count": 68, "terms": [ { "term": "1264", "count": 68, "sections": 2, "gpa": 3.823529411764706 } ] }, { "uid": "instructor_889188d7cc318517357cc390", "name": "JINTING ZHOU", "count": 25, "terms": [ { "term": "1234", "count": 25, "sections": 1, "gpa": 3.72 } ] } ] ``` ## following None recorded.