# MHR 422: Advanced Entrepreneurship | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MHR_422) ## 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 e41a7fbb570d8afd8db2a8386bb600d102b4a148faeeb1e41bdb631ab932bbad ### course id MHR 422 ### course uid course\_ba431ca9abcfcac1bac9b4e0 ### catalog version id f5c2572187e20f791aeb8c5e8d9823f3d9431a3774d238d8451a2d2df31b3fa4 ### course number 422 ### subjects * MHR ### title ADVANCED ENTREPRENEURSHIP ### description Focuses on the process of starting and growing a new venture. Develop and utilize a set of qualitative and quantitative skills that can be applied in this context. Topics include how to assess and quantify growth potential of an entrepreneurial opportunity, how investors value startups, and how startups are effectively managed. Acquire a set of cross-functional concepts in finance, law, marketing, and strategy. ### requirements text M H R 322and (ACCT I S 100orGEN BUS 310) or declared in the Business Exchange program ### credits min 3 ### credits max 3 ### credit offering ids * 1272:236:003123 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 57ff7394a4fb273b6444b389641f644779236de94d44c5bac04cc84818d18a39 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Advanced entrepreneurship course focusing on starting and growing new ventures. ### llm topics * Growth potential, investor valuation, startup management, and cross-functional strategy. ### llm skills * Assessing growth potential, startup valuation, and management. ### llm assumed background * Foundations of entrepreneurship, financial accounting, and business law. ### llm search phrases * entrepreneurship venture growth * startup valuation finance * entrepreneurial opportunity assessment ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 4ec80e51fafd29d860d42b9210ebd19331ecbc9ed69a9adf7b27a2f9ec30025c #### course id MHR 422 #### current instructors ```json [ { "instructor_uid": "instructor_43df924179eeb098ffd96cec", "message": null, "name": "Stefan Koehler", "review_status": "supported", "rmp_instructor_id": "rmp:1679601", "summary": [ { "citations": [ { "instructor_name": "Stefan Koehler", "review_date": "2012-01-05 10:00:55 +0000 UTC", "review_id": "8b08c9319284aa4eca124fd0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1679601", "source_review_id": "UmF0aW5nLTE5NjcyNzk1", "source_url": "https://www.ratemyprofessors.com/professor/1679601", "type": "review" } ], "text": "Stefan Koehler is described as a great, enjoyable, and passionate professor who is highly recommended. Reviewers find his teaching on Entrepreneurship interesting." }, { "citations": [ { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2014: 3.83 GPA, 100.0% A/AB (n=35 letter grades); Spring 2016: 3.78 GPA, 92.0% A/AB (n=25 letter grades); Fall 2025: 3.34 GPA, 65.5% A/AB (n=29 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_6c39a5f5c3714f3915cc482f", "message": "No course-specific reviews available", "name": "Zhiling Lin", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" } ], "text": "Recent recorded grades — Spring 2024: 3.96 GPA, 100.0% A/AB (n=27 letter grades)." } ] } ] ``` #### difficulty workload The course has a moderate difficulty rating of 4 out of 5 according to the single available review. ```json { "citations": [ { "instructor_name": "Stefan Koehler", "review_date": "2012-01-05 10:00:55 +0000 UTC", "review_id": "8b08c9319284aa4eca124fd0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1679601", "source_review_id": "UmF0aW5nLTE5NjcyNzk1", "source_url": "https://www.ratemyprofessors.com/professor/1679601", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Phillip Kim: Phillip Kim receives polarized reviews, described as either a great lecturer who applies theory to real-world examples or as arrogant and unclear. While some students found his classes interesting and learned a lot, others criticized his teaching style and grading system. ```json { "citations": [ { "instructor_name": "Phillip Kim", "review_date": "2006-11-04 19:24:40 +0000 UTC", "review_id": "b2f0f77a751e443ed573e81a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:910813", "source_review_id": "UmF0aW5nLTEyMzYwMDM5", "source_url": "https://www.ratemyprofessors.com/professor/910813", "type": "review" }, { "instructor_name": "Phillip Kim", "review_date": "2009-01-14 10:53:05 +0000 UTC", "review_id": "4f8cc9a9437f66a1a678f4fb", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:910813", "source_review_id": "UmF0aW5nLTE1MzcxNDY2", "source_url": "https://www.ratemyprofessors.com/professor/910813", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Stefan Koehler is described as a great, enjoyable, and passionate professor in Entrepreneurship, with one review highly recommending his course. ```json { "citations": [ { "instructor_name": "Stefan Koehler", "review_date": "2012-01-05 10:00:55 +0000 UTC", "review_id": "8b08c9319284aa4eca124fd0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1679601", "source_review_id": "UmF0aW5nLTE5NjcyNzk1", "source_url": "https://www.ratemyprofessors.com/professor/1679601", "type": "review" } ] } ``` Recent recorded grades — Spring 2024: 3.98 GPA, 100.0% A/AB (n=51 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Fall 2025: 3.34 GPA, 65.5% A/AB (n=29 letter grades). ```json { "citations": [ { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience Students find the instruction interesting and the professor's passion for the discipline to be a positive aspect of the learning experience. ```json { "citations": [ { "instructor_name": "Stefan Koehler", "review_date": "2012-01-05 10:00:55 +0000 UTC", "review_id": "8b08c9319284aa4eca124fd0", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1679601", "source_review_id": "UmF0aW5nLTE5NjcyNzk1", "source_url": "https://www.ratemyprofessors.com/professor/1679601", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ADAM BOCK is recorded teaching in Fall 2017, Spring 2018, Fall 2018, Fall 2019, Fall 2020. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" } ] } ``` CHAD NAVIS is recorded teaching in Fall 2009, Spring 2010, Fall 2010, Spring 2012, Spring 2013, Spring 2014, Spring 2015. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1124", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1124", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" } ] } ``` JOHN SURDYK is recorded teaching in Fall 2011, Fall 2012, Fall 2013, Fall 2014, Fall 2015, Fall 2016. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" } ] } ``` MARTIN GANCO is recorded teaching in Spring 2017, Spring 2019, Spring 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" } ] } ``` PHILIP GREENWOOD is recorded teaching in Spring 2009, Fall 2015, Spring 2016, Fall 2016, Fall 2017, Spring 2018, Fall 2018, Fall 2019, Fall 2020. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1094", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" } ] } ``` PHILLIP KIM is recorded teaching in Fall 2006, Spring 2007, Fall 2007, Spring 2008, Fall 2008, Fall 2009. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1072", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1074", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1082", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1084", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" } ] } ``` STEFAN KOEHLER is recorded teaching in Spring 2011, Fall 2011, Fall 2012, Fall 2013, Fall 2014, Spring 2016, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1114", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` ZHILING LIN is recorded teaching in Spring 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MHR 422", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "source_record": { "entity_id": "b250378f-f1ea-3442-8f31-ac32b3bcfd50", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "M H R 322and (ACCT I S 100orGEN BUS 310) or declared in the Business Exchange program", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 322, "minimum_grade": null, "subjects": [ "MHR" ], "timing": "prior" }, "evidence": "M H R 322", "id": "n1", "kind": "course" }, { "children": [ "n4", "n5" ], "condition": null, "course": null, "evidence": "(ACCT I S 100orGEN BUS 310)", "id": "n2", "kind": "any" }, { "children": [], "condition": "declared in the Business Exchange program", "course": null, "evidence": "declared in the Business Exchange program", "id": "n3", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 100, "minimum_grade": null, "subjects": [ "ACCTIS" ], "timing": "prior" }, "evidence": "ACCT I S 100", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "GENBUS" ], "timing": "prior" }, "evidence": "GEN BUS 310", "id": "n5", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_43df924179eeb098ffd96cec", "source": "enrollment", "source_instructor_id": "shkoehle", "identity_basis": "netid", "identity_status": "source_identified", "name": "Stefan Koehler", "email": "STEFAN.KOEHLER@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": 21, "quality": 4.33, "difficulty": 2.33, "quality_count": 21, "difficulty_count": 21, "profile_id": "rmp:1679601", "source_url": "https://www.ratemyprofessors.com/professor/1679601", "match_basis": "exact_name", "observed_at": "2026-09-07 16:05:03.600406+00:00", "courses": { "course_f9745222e60401b0352a8d34": { "review_count": 16, "quality": 4.44, "difficulty": 2.31, "quality_count": 16, "difficulty_count": 16 }, "course_85c2f5f272ab49ba582ca81a": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_711e0eb5a0b86ceeefd6dd86": { "review_count": 2, "quality": 3.5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2 }, "course_ba431ca9abcfcac1bac9b4e0": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 4.003017455388584, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/STEFAN_KOEHLER" }, { "instructor_uid": "instructor_6c39a5f5c3714f3915cc482f", "source": "enrollment", "source_instructor_id": "zlin335", "identity_basis": "netid", "identity_status": "source_identified", "name": "Zhiling Lin", "email": "ZLIN335@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/ZHILING_LIN" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:236:003123", "course_id": "MHR 422", "course_uid": "course_ba431ca9abcfcac1bac9b4e0", "term_id": "1272", "source_course_id": "003123", "source_subject_id": "236", "title": "Advanced Entrepreneurship", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:31158", "term_id": "1272", "source_section_id": "31158", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 40, "enrolled": 25, "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_e7abd17fee34e82e9b4c9676", "source": "madgrades", "source_instructor_id": "4185301", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PHILLIP KIM", "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": 12, "quality": 3.25, "difficulty": 2.67, "quality_count": 12, "difficulty_count": 12, "profile_id": "rmp:910813", "source_url": "https://www.ratemyprofessors.com/professor/910813", "match_basis": "exact_name", "observed_at": "2026-09-07 16:11:49.219351+00:00", "courses": { "course_8888dcec9733cd2721be4413": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_b8f194908306b96c078f2f27": { "review_count": 2, "quality": 3.5, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 }, "course_6e73805ddbbda6086f9fc5b7": { "review_count": 1, "quality": 2, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_711e0eb5a0b86ceeefd6dd86": { "review_count": 1, "quality": 4, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_ba431ca9abcfcac1bac9b4e0": { "review_count": 5, "quality": 2.8, "difficulty": 2.6, "quality_count": 5, "difficulty_count": 5 }, "course_dc5aa47e8eaf614268e5770a": { "review_count": 1, "quality": 4, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.506053614716622, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.553, "graded": 384, "counts": [ 198, 79, 78, 10, 18, 1, 0 ], "sections": 34 }, "instructor_url": "/instructors/PHILLIP_KIM--instructor_e7abd17fee34e82e9b4c9676" }, { "instructor_uid": "instructor_abcc3fe0538d74ee35437c07", "source": "madgrades", "source_instructor_id": "3791308", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL PHILIP CIUCHTA", "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": 3.635, "graded": 26, "counts": [ 17, 6, 1, 1, 0, 0, 1 ], "sections": 1 }, "instructor_url": "/instructors/MICHAEL_PHILIP_CIUCHTA--instructor_abcc3fe0538d74ee35437c07" }, { "instructor_uid": "instructor_1e38d89957a019b17e12ab3d", "source": "madgrades", "source_instructor_id": "3559274", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JONATHAN ECKHARDT", "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": 3.623, "graded": 1265, "counts": [ 661, 346, 200, 26, 31, 1, 0 ], "sections": 59 }, "instructor_url": "/instructors/JONATHAN_ECKHARDT" }, { "instructor_uid": "instructor_4c1f832188d3b99f2d3f0cee", "source": "madgrades", "source_instructor_id": "701372", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JASON O'TOOLE", "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": 3.796, "graded": 135, "counts": [ 97, 21, 17, 0, 0, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/JASON_OTOOLE" }, { "instructor_uid": "instructor_f6bd67a845cf57dd62260cf2", "source": "madgrades", "source_instructor_id": "596560", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PHILIP GREENWOOD", "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": 8, "quality": 4, "difficulty": 2.75, "quality_count": 8, "difficulty_count": 8, "profile_id": "rmp:1098039", "source_url": "https://www.ratemyprofessors.com/professor/1098039", "match_basis": "exact_name", "observed_at": "2026-09-07 16:11:53.394829+00:00", "courses": { "course_711e0eb5a0b86ceeefd6dd86": { "review_count": 3, "quality": 4, "difficulty": 2, "quality_count": 3, "difficulty_count": 3 }, "course_603c6927e30b4643e964b920": { "review_count": 4, "quality": 3.75, "difficulty": 3.5, "quality_count": 4, "difficulty_count": 4 }, "course_ba431ca9abcfcac1bac9b4e0": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.756918416818997, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.813, "graded": 3778, "counts": [ 2591, 1018, 139, 18, 8, 1, 3 ], "sections": 114 }, "instructor_url": "/instructors/PHILIP_GREENWOOD--instructor_f6bd67a845cf57dd62260cf2" }, { "instructor_uid": "instructor_c76b42b9b69cfbecbdd292f9", "source": "madgrades", "source_instructor_id": "4608355", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHAD NAVIS", "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": 6, "quality": 4.83, "difficulty": 2.5, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:1431294", "source_url": "https://www.ratemyprofessors.com/professor/1431294", "match_basis": "exact_name", "observed_at": "2026-09-07 16:49:22.212664+00:00", "courses": { "course_ba431ca9abcfcac1bac9b4e0": { "review_count": 5, "quality": 4.8, "difficulty": 2.8, "quality_count": 5, "difficulty_count": 5 } }, "bayesian_quality": 3.929758295035843, "prior_mean": 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23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.853, "graded": 109, "counts": [ 84, 19, 5, 1, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/MICHELE_EILEEN_YODER--instructor_9b6e3cfd7781d7118a2a11ef" }, { "instructor_uid": "instructor_78e7025201cf493e40ec7915", "source": "madgrades", "source_instructor_id": "430872", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOHN SURDYK", "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": 7, "quality": 4.71, "difficulty": 2, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:1863387", "source_url": "https://www.ratemyprofessors.com/professor/1863387", "match_basis": "exact_name", "observed_at": "2026-09-07 16:30:58.886667+00:00", "courses": { "course_1081c80605b3bec6d97ec841": { "review_count": 5, "quality": 4.8, 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"source_identified", "name": "ADAM BOCK", "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": 15, "quality": 2.6, "difficulty": 3.07, "quality_count": 15, "difficulty_count": 15, "profile_id": "rmp:2336114", "source_url": "https://www.ratemyprofessors.com/professor/2336114", "match_basis": "exact_name", "observed_at": "2026-09-07 16:53:37.519774+00:00", "courses": { "course_f9745222e60401b0352a8d34": { "review_count": 14, "quality": 2.43, "difficulty": 3, "quality_count": 14, "difficulty_count": 14 }, "course_ba431ca9abcfcac1bac9b4e0": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.2055347334551976, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.421, "graded": 2248, "counts": [ 943, 498, 531, 145, 99, 23, 9 ], "sections": 50 }, "instructor_url": 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"counts": [ 80, 79, 61, 4, 0, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/BEKHZOD_KHOSHIMOV--instructor_de7a2ffff99f285cd286e2f3" }, { "instructor_uid": "instructor_939f80e1e0b39c5d2a8a9328", "source": "madgrades", "source_instructor_id": "607375", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL WILLIAMS", "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": 3.88, "graded": 899, "counts": [ 762, 99, 24, 6, 2, 3, 3 ], "sections": 30 }, "instructor_url": "/instructors/MICHAEL_WILLIAMS--instructor_939f80e1e0b39c5d2a8a9328" }, { "instructor_uid": "instructor_10290450957306f28a99c212", "source": "madgrades", "source_instructor_id": "6290485", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ELTON LI", "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": 3.479, "graded": 590, "counts": [ 220, 194, 132, 27, 14, 2, 1 ], "sections": 15 }, "instructor_url": "/instructors/ELTON_LI" }, { "instructor_uid": "instructor_2bb9968fdc019a6f1d5dd5ce", "source": "madgrades", "source_instructor_id": "5340071", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHANG LIU", "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": 3.533, "graded": 615, "counts": [ 264, 199, 105, 31, 13, 2, 1 ], "sections": 18 }, "instructor_url": "/instructors/CHANG_LIU--instructor_2bb9968fdc019a6f1d5dd5ce" }, { "instructor_uid": "instructor_bb4027776e99d5a361bfe0a2", "source": "madgrades", "source_instructor_id": "6294591", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHILING LIN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.574, "graded": 623, "counts": [ 340, 131, 105, 22, 16, 6, 3 ], "sections": 12 }, "instructor_url": "/instructors/ZHILING_LIN--instructor_bb4027776e99d5a361bfe0a2" }, { "instructor_uid": "instructor_d994a8eb781e7688d7b9a9f0", "source": "madgrades", "source_instructor_id": "6653732", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JIAYI YANG", "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": 3.473, "graded": 376, "counts": [ 151, 97, 95, 27, 4, 2, 0 ], "sections": 6 }, "instructor_url": "/instructors/JIAYI_YANG--instructor_d994a8eb781e7688d7b9a9f0" }, { "instructor_uid": "instructor_43df924179eeb098ffd96cec", "source": "enrollment", "source_instructor_id": "shkoehle", "identity_basis": "netid", "identity_status": "source_identified", "name": "Stefan Koehler", "email": "STEFAN.KOEHLER@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": 21, "quality": 4.33, "difficulty": 2.33, "quality_count": 21, "difficulty_count": 21, "profile_id": "rmp:1679601", "source_url": "https://www.ratemyprofessors.com/professor/1679601", "match_basis": "exact_name", "observed_at": "2026-09-07 16:05:03.600406+00:00", "courses": { "course_f9745222e60401b0352a8d34": { "review_count": 16, "quality": 4.44, "difficulty": 2.31, "quality_count": 16, "difficulty_count": 16 }, "course_85c2f5f272ab49ba582ca81a": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_711e0eb5a0b86ceeefd6dd86": { "review_count": 2, "quality": 3.5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2 }, "course_ba431ca9abcfcac1bac9b4e0": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 4.003017455388584, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/STEFAN_KOEHLER" }, { "instructor_uid": "instructor_6c39a5f5c3714f3915cc482f", "source": "enrollment", "source_instructor_id": "zlin335", "identity_basis": "netid", "identity_status": "source_identified", "name": "Zhiling Lin", "email": "ZLIN335@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/ZHILING_LIN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 422", "course_uid": "course_ba431ca9abcfcac1bac9b4e0", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "PHILLIP KIM" ], "a": 9, "ab": 9, "b": 11, "bc": 1, "c": 1, "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": 31, "source_aliases": [ "MHR 422" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 422", "course_uid": "course_ba431ca9abcfcac1bac9b4e0", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "PHILLIP KIM" ], "a": 18, "ab": 2, "b": 5, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "MHR 422" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 422", "course_uid": "course_ba431ca9abcfcac1bac9b4e0", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "MICHAEL PHILIP CIUCHTA", "PHILLIP KIM" ], "a": 33, "ab": 11, "b": 4, "bc": 1, "c": 0, "d": 0, "f": 1, "satisfactory": 1, "unsatisfactory": 0, 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"Zhiling Lin" ], "a": 49, "ab": 2, "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": 51, "source_aliases": [ "MHR 422" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 422", "course_uid": "course_ba431ca9abcfcac1bac9b4e0", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Chang Liu" ], "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": 0, "total": 7, "source_aliases": [ "MHR 422" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 422", "course_uid": "course_ba431ca9abcfcac1bac9b4e0", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "JIAYI YANG", "Stefan Koehler" ], "a": 16, "ab": 3, "b": 3, "bc": 3, "c": 2, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "MHR 422" ] } ] ``` ### statistics #### gpa 3.643 #### graded 2139 #### counts * 1150 * 595 * 314 * 45 * 25 * 6 * 4 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_ba431ca9abcfcac1bac9b4e0-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_ba431ca9abcfcac1bac9b4e0-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_ba431ca9abcfcac1bac9b4e0-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_ba431ca9abcfcac1bac9b4e0-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_ba431ca9abcfcac1bac9b4e0-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_ba431ca9abcfcac1bac9b4e0-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_ba431ca9abcfcac1bac9b4e0-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_ba431ca9abcfcac1bac9b4e0-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_ba431ca9abcfcac1bac9b4e0-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_ba431ca9abcfcac1bac9b4e0-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.643291257597008 #### count 2139 #### university ##### size 5599 ##### gpa Percentile 40 ##### count Percentile 92 ##### median Count 233 ##### 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 | 12 | false | | 2.8–3.2 | 375 | false | | 3.2–3.6 | 1564 | false | | 3.6–4.0 | 3648 | true | #### departments ```json [ { "subject": "MHR", "comparison": { "size": 50, "gpaPercentile": 27, "countPercentile": 86, "medianCount": 440.5, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 39, "current": true } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.3870967741935485 ##### count 31 ##### university ###### size 723 ###### gpa Percentile 55 ###### count Percentile 3 ###### 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 ```json [ { "subject": "MHR", "comparison": { "size": 11, "gpaPercentile": 20, "countPercentile": 0, "medianCount": 44, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1074 ##### term 1074 ##### gpa 3.6923076923076925 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1082 ##### term 1082 ##### gpa 3.7 ##### count 50 ##### university ###### size 723 ###### gpa Percentile 78 ###### count Percentile 34 ###### 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": "MHR", "comparison": { "size": 11, "gpaPercentile": 60, "countPercentile": 50, "medianCount": 50, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 3.489130434782609 ##### count 46 ##### university ###### size 720 ###### gpa Percentile 62 ###### count Percentile 29 ###### 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 | 45 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 248 | true | | 3.6–4.0 | 217 | false | ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1092 ##### term 1092 ##### gpa 3.7083333333333335 ##### count 36 ##### university ###### size 732 ###### gpa Percentile 79 ###### count Percentile 10 ###### 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 | subject | comparison | | ------- | ---------- | | MHR | | #### 1094 ##### term 1094 ##### gpa 3.56 ##### count 50 ##### university ###### size 758 ###### gpa Percentile 66 ###### count Percentile 33 ###### median Count 71 ###### 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 | 35 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | true | | 3.6–4.0 | 236 | false | ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1102 ##### term 1102 ##### gpa 3.669491525423729 ##### count 59 ##### university ###### size 774 ###### gpa Percentile 76 ###### count Percentile 42 ###### 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 | subject | comparison | | ------- | ---------- | | MHR | | #### 1104 ##### term 1104 ##### gpa 3.84375 ##### count 32 ##### university ###### size 793 ###### gpa Percentile 86 ###### count Percentile 6 ###### 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 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | false | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | true | ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1112 ##### term 1112 ##### gpa 3.5 ##### count 81 ##### university ###### size 805 ###### gpa Percentile 62 ###### count Percentile 59 ###### 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 | true | | 3.6–4.0 | 225 | false | ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1114 ##### term 1114 ##### gpa 3.545977011494253 ##### count 87 ##### university ###### size 804 ###### gpa Percentile 67 ###### count Percentile 62 ###### 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 | 53 | false | | 2.8–3.2 | 231 | false | | 3.2–3.6 | 292 | true | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 13, "gpaPercentile": 33, "countPercentile": 83, "medianCount": 59, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.548780487804878 ##### count 123 ##### university ###### size 804 ###### gpa Percentile 66 ###### count Percentile 75 ###### 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": "MHR", "comparison": { "size": 11, "gpaPercentile": 40, "countPercentile": 60, "medianCount": 43, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 3.5727272727272728 ##### count 55 ##### university ###### size 821 ###### gpa Percentile 64 ###### count Percentile 40 ###### 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 | 39 | false | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | true | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 17, "gpaPercentile": 44, "countPercentile": 56, "medianCount": 45, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.5140845070422535 ##### count 71 ##### university ###### size 851 ###### gpa Percentile 61 ###### count Percentile 52 ###### 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 | true | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 14, "gpaPercentile": 38, "countPercentile": 54, "medianCount": 67.5, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.5625 ##### count 48 ##### university ###### size 852 ###### gpa Percentile 63 ###### count Percentile 31 ###### 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 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | true | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 17, "gpaPercentile": 44, "countPercentile": 25, "medianCount": 57, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.5350877192982457 ##### count 57 ##### university ###### size 853 ###### gpa Percentile 64 ###### count Percentile 42 ###### 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 | true | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 18, "gpaPercentile": 35, "countPercentile": 59, "medianCount": 47, "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": 7, "current": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.574074074074074 ##### count 54 ##### university ###### size 878 ###### gpa Percentile 64 ###### 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 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | true | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 16, "gpaPercentile": 47, "countPercentile": 33, "medianCount": 59.5, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.7866666666666666 ##### count 75 ##### university ###### size 918 ###### gpa Percentile 82 ###### count Percentile 56 ###### 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": "MHR", "comparison": { "size": 18, "gpaPercentile": 65, "countPercentile": 53, "medianCount": 62.5, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.80327868852459 ##### count 61 ##### university ###### size 935 ###### gpa Percentile 81 ###### count Percentile 48 ###### median Count 63 ###### 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 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 15, "gpaPercentile": 50, "countPercentile": 50, "medianCount": 61, "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": 4, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.891304347826087 ##### count 69 ##### university ###### size 954 ###### gpa Percentile 89 ###### count Percentile 53 ###### 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": "MHR", "comparison": { "size": 18, "gpaPercentile": 71, "countPercentile": 53, "medianCount": 63.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.882978723404255 ##### count 47 ##### university ###### size 965 ###### gpa Percentile 84 ###### count Percentile 31 ###### 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 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 16, "gpaPercentile": 93, "countPercentile": 53, "medianCount": 45.5, "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": 13, "current": true } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.753086419753086 ##### count 81 ##### university ###### size 991 ###### gpa Percentile 74 ###### count Percentile 60 ###### 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": "MHR", "comparison": { "size": 17, "gpaPercentile": 63, "countPercentile": 63, "medianCount": 76, "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": 5, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.4444444444444446 ##### count 63 ##### university ###### size 955 ###### gpa Percentile 47 ###### count Percentile 44 ###### 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 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | true | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 18, "gpaPercentile": 35, "countPercentile": 65, "medianCount": 42.5, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.673611111111111 ##### count 72 ##### university ###### size 1025 ###### gpa Percentile 67 ###### count Percentile 53 ###### 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": "MHR", "comparison": { "size": 18, "gpaPercentile": 41, "countPercentile": 59, "medianCount": 58.5, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.8666666666666667 ##### count 45 ##### university ###### size 1010 ###### gpa Percentile 84 ###### count Percentile 27 ###### 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 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 15, "gpaPercentile": 86, "countPercentile": 36, "medianCount": 47, "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": 4, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.5579710144927534 ##### count 69 ##### university ###### size 1077 ###### gpa Percentile 50 ###### count Percentile 51 ###### 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 | true | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 18, "gpaPercentile": 29, "countPercentile": 59, "medianCount": 59.5, "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": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.453488372093023 ##### count 43 ##### university ###### size 1040 ###### gpa Percentile 44 ###### count Percentile 24 ###### 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 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | true | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 11, "gpaPercentile": 20, "countPercentile": 30, "medianCount": 80, "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": 5, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.492957746478873 ##### count 71 ##### university ###### size 1102 ###### gpa Percentile 45 ###### count Percentile 53 ###### 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 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 18, "gpaPercentile": 24, "countPercentile": 59, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.5952380952380953 ##### count 42 ##### university ###### size 1012 ###### gpa Percentile 32 ###### count Percentile 25 ###### median Count 65.5 ###### 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 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | true | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 15, "gpaPercentile": 21, "countPercentile": 43, "medianCount": 47, "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": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.5844155844155843 ##### count 77 ##### university ###### size 1111 ###### gpa Percentile 44 ###### count Percentile 54 ###### 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 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 17, "gpaPercentile": 19, "countPercentile": 56, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.7733333333333334 ##### count 75 ##### university ###### size 1157 ###### gpa Percentile 67 ###### count Percentile 54 ###### 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": "MHR", "comparison": { "size": 18, "gpaPercentile": 41, "countPercentile": 71, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.6923076923076925 ##### count 52 ##### university ###### size 1171 ###### gpa Percentile 56 ###### 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 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 17, "gpaPercentile": 69, "countPercentile": 44, "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": 8, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.8289473684210527 ##### count 76 ##### university ###### size 1216 ###### gpa Percentile 74 ###### count Percentile 55 ###### 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": "MHR", "comparison": { "size": 17, "gpaPercentile": 63, "countPercentile": 63, "medianCount": 51, "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": 13, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.5098039215686274 ##### count 51 ##### university ###### size 1188 ###### gpa Percentile 37 ###### count Percentile 37 ###### 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 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 15, "gpaPercentile": 14, "countPercentile": 29, "medianCount": 67, "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": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.727272727272727 ##### count 77 ##### university ###### size 1295 ###### gpa Percentile 58 ###### count Percentile 55 ###### 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": "MHR", "comparison": { "size": 16, "gpaPercentile": 33, "countPercentile": 67, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.980392156862745 ##### count 51 ##### university ###### size 1241 ###### gpa Percentile 93 ###### count Percentile 37 ###### 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": 95, "countPercentile": 47, "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 4 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1262 ##### term 1262 ##### gpa 3.3448275862068964 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | ### benchmarks #### all ##### school ###### size 5599 ###### gpa 3.6674451642828254 ###### top Share 82.29540884732303 ###### count 233 ##### MHR ###### size 50 ###### gpa 3.7195043061373343 ###### top Share 85.98986605409986 ###### count 440.5 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### MHR ###### size 11 ###### gpa 3.5392364080620093 ###### top Share 74.44275053120985 ###### count 44 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### MHR ###### size 11 ###### gpa 3.517809285294153 ###### top Share 75.2644763982788 ###### count 50 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### MHR ###### size 13 ###### gpa 3.5567160381300646 ###### top Share 75.38604550043905 ###### count 59 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### MHR ###### size 11 ###### gpa 3.5125966263982815 ###### top Share 76.270530690563 ###### count 43 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### MHR ###### size 17 ###### gpa 3.56451131160373 ###### top Share 78.70584610876031 ###### count 45 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### MHR ###### size 14 ###### gpa 3.525204829231486 ###### top Share 73.04032319314338 ###### count 67.5 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### MHR ###### size 17 ###### gpa 3.617569753887576 ###### top Share 82.84072153282938 ###### count 57 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### MHR ###### size 18 ###### gpa 3.613068117857462 ###### top Share 78.53586394601913 ###### count 47 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### MHR ###### size 16 ###### gpa 3.568242664882578 ###### top Share 76.78215071091971 ###### count 59.5 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### MHR ###### size 18 ###### gpa 3.6570435437659086 ###### top Share 83.51698948976151 ###### count 62.5 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### MHR ###### size 15 ###### gpa 3.7135499580174214 ###### top Share 86.07666062040722 ###### count 61 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### MHR ###### size 18 ###### gpa 3.746517261535 ###### top Share 89.1828844660754 ###### count 63.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### MHR ###### size 16 ###### gpa 3.7027593511699153 ###### top Share 85.91983963091505 ###### count 45.5 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### MHR ###### size 17 ###### gpa 3.6608900634439743 ###### top Share 84.08736340063469 ###### count 76 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### MHR ###### size 18 ###### gpa 3.542229790007285 ###### top Share 76.71944233894463 ###### count 42.5 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### MHR ###### size 18 ###### gpa 3.702851932021947 ###### top Share 85.22170645882483 ###### count 58.5 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### MHR ###### size 15 ###### gpa 3.667997301045341 ###### top Share 83.32135141124088 ###### count 47 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### MHR ###### size 18 ###### gpa 3.6841657970460893 ###### top Share 84.0540280875532 ###### count 59.5 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### MHR ###### size 11 ###### gpa 3.56695869703676 ###### top Share 77.09836383417331 ###### count 80 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### MHR ###### size 18 ###### gpa 3.666943327078702 ###### top Share 81.94161491052517 ###### count 62 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### MHR ###### size 15 ###### gpa 3.7530702944555347 ###### top Share 89.16852227366174 ###### count 47 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### MHR ###### size 17 ###### gpa 3.751702169099354 ###### top Share 87.40270284024918 ###### count 74 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### MHR ###### size 18 ###### gpa 3.7293251973268005 ###### top Share 86.6701542684276 ###### count 55 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### MHR ###### size 17 ###### gpa 3.6256835827834273 ###### top Share 77.79292506717066 ###### count 68 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### MHR ###### size 17 ###### gpa 3.73414471707026 ###### top Share 85.93837573751262 ###### count 51 ##### 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 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### MHR ###### size 16 ###### gpa 3.7676257097531796 ###### top Share 86.69063643186792 ###### count 70.5 ##### 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 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### MHR ###### size 13 ###### gpa 3.678868495781192 ###### top Share 83.61428669917755 ###### count 79 ## instructor Trends ```json [ { "uid": "instructor_c76b42b9b69cfbecbdd292f9", "name": "CHAD NAVIS", "count": 366, "terms": [ { "term": "1102", "count": 35, "sections": 1, "gpa": 3.8142857142857145 }, { "term": "1104", "count": 32, "sections": 1, "gpa": 3.84375 }, { "term": "1112", "count": 81, "sections": 2, "gpa": 3.5 }, { "term": "1124", "count": 55, "sections": 2, "gpa": 3.5727272727272728 }, { "term": "1134", "count": 48, "sections": 2, "gpa": 3.5625 }, { "term": "1144", "count": 54, "sections": 2, "gpa": 3.574074074074074 }, { "term": "1154", "count": 61, "sections": 2, "gpa": 3.80327868852459 } ] }, { "uid": "instructor_f6bd67a845cf57dd62260cf2", "name": "PHILIP GREENWOOD", "count": 309, "terms": [ { "term": "1094", "count": 21, "sections": 1, "gpa": 3.142857142857143 }, { "term": "1162", "count": 39, "sections": 1, "gpa": 4 }, { "term": "1164", "count": 22, "sections": 1, "gpa": 4 }, { "term": "1172", "count": 42, "sections": 1, "gpa": 3.7857142857142856 }, { "term": "1182", "count": 34, "sections": 1, "gpa": 3.926470588235294 }, { "term": "1184", "count": 36, "sections": 1, "gpa": 4 }, { "term": "1192", "count": 38, "sections": 1, "gpa": 3.973684210526316 }, { "term": "1202", "count": 38, "sections": 1, "gpa": 3.8157894736842106 }, { "term": "1212", "count": 39, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_6b460cb682d2d4608121a6e4", "name": "STEFAN KOEHLER", "count": 272, "terms": [ { "term": "1114", "count": 34, "sections": 1, "gpa": 3.4411764705882355 }, { "term": "1122", "count": 86, "sections": 2, "gpa": 3.5232558139534884 }, { "term": "1132", "count": 35, "sections": 1, "gpa": 3.4285714285714284 }, { "term": "1142", "count": 28, "sections": 1, "gpa": 3.517857142857143 }, { "term": "1152", "count": 35, "sections": 1, "gpa": 3.8285714285714287 }, { "term": "1164", "count": 25, "sections": 1, "gpa": 3.78 }, { "term": "1262", "count": 29, "sections": 1, "gpa": 3.3448275862068964 } ] }, { "uid": "instructor_1e38d89957a019b17e12ab3d", "name": "JONATHAN ECKHARDT", "count": 216, "terms": [ { "term": "1084", "count": 28, "sections": 1, "gpa": 3.4107142857142856 }, { "term": "1114", "count": 35, "sections": 1, "gpa": 3.5 }, { "term": "1222", "count": 75, "sections": 2, "gpa": 3.7733333333333334 }, { "term": "1232", "count": 39, "sections": 1, "gpa": 3.769230769230769 }, { "term": "1242", "count": 39, "sections": 1, "gpa": 3.4615384615384617 } ] }, { "uid": "instructor_78e7025201cf493e40ec7915", "name": "JOHN SURDYK", "count": 211, "terms": [ { "term": "1122", "count": 37, "sections": 1, "gpa": 3.608108108108108 }, { "term": "1132", "count": 36, "sections": 1, "gpa": 3.5972222222222223 }, { "term": "1142", "count": 29, "sections": 1, "gpa": 3.5517241379310347 }, { "term": "1152", "count": 40, "sections": 1, "gpa": 3.75 }, { "term": "1162", "count": 30, "sections": 1, "gpa": 3.75 }, { "term": "1172", "count": 39, "sections": 1, "gpa": 3.717948717948718 } ] }, { "uid": "instructor_e7abd17fee34e82e9b4c9676", "name": "PHILLIP KIM", "count": 159, "terms": [ { "term": "1072", "count": 31, "sections": 1, "gpa": 3.3870967741935485 }, { "term": "1074", "count": 26, "sections": 1, "gpa": 3.6923076923076925 }, { "term": "1082", "count": 24, "sections": 1, "gpa": 3.7708333333333335 }, { "term": "1084", "count": 18, "sections": 1, "gpa": 3.611111111111111 }, { "term": "1092", "count": 36, "sections": 2, "gpa": 3.7083333333333335 }, { "term": "1102", "count": 24, "sections": 1, "gpa": 3.4583333333333335 } ] }, { "uid": "instructor_939f80e1e0b39c5d2a8a9328", "name": "MICHAEL WILLIAMS", "count": 151, "terms": [ { "term": "1224", "count": 52, "sections": 2, "gpa": 3.6923076923076925 }, { "term": "1232", "count": 37, "sections": 1, "gpa": 3.891891891891892 }, { "term": "1242", "count": 38, "sections": 1, "gpa": 4 }, { "term": "1244", "count": 24, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_3414b58bbec1b7f12aa8fda4", "name": "ADAM BOCK", "count": 149, "terms": [ { "term": "1182", "count": 38, "sections": 1, "gpa": 3.4473684210526314 }, { "term": "1184", "count": 9, "sections": 1, "gpa": 3.3333333333333335 }, { "term": "1192", "count": 31, "sections": 1, "gpa": 3.0483870967741935 }, { "term": "1202", "count": 33, "sections": 1, "gpa": 3.121212121212121 }, { "term": "1212", "count": 38, "sections": 1, "gpa": 3.1578947368421053 } ] }, { "uid": "instructor_b8493f37e16a1e5dd04710b8", "name": "MARTIN GANCO", "count": 146, "terms": [ { "term": "1174", "count": 63, "sections": 2, "gpa": 3.4444444444444446 }, { "term": "1194", "count": 43, "sections": 2, "gpa": 3.453488372093023 }, { "term": "1234", "count": 40, "sections": 1, "gpa": 3.45 } ] }, { "uid": "instructor_10290450957306f28a99c212", "name": "ELTON LI", "count": 78, "terms": [ { "term": "1232", "count": 39, "sections": 1, "gpa": 3.769230769230769 }, { "term": "1242", "count": 39, "sections": 1, "gpa": 3.4615384615384617 } ] }, { "uid": "instructor_5f2e939c3ba3c51f423f81e8", "name": "RUSSELL COFF", "count": 53, "terms": [ { "term": "1204", "count": 42, "sections": 2, "gpa": 3.5952380952380953 }, { "term": "1234", "count": 11, "sections": 1, "gpa": 3.727272727272727 } ] }, { "uid": "instructor_2bb9968fdc019a6f1d5dd5ce", "name": "CHANG LIU", "count": 47, "terms": [ { "term": "1234", "count": 40, "sections": 1, "gpa": 3.45 }, { "term": "1254", "count": 7, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_de7a2ffff99f285cd286e2f3", "name": "BEKHZOD KHOSHIMOV", "count": 34, "terms": [ { "term": "1204", "count": 23, "sections": 1, "gpa": 3.5652173913043477 }, { "term": "1234", "count": 11, "sections": 1, "gpa": 3.727272727272727 } ] }, { "uid": "instructor_4c1f832188d3b99f2d3f0cee", "name": "JASON O'TOOLE", "count": 29, "terms": [ { "term": "1094", "count": 29, "sections": 1, "gpa": 3.8620689655172415 } ] }, { "uid": "instructor_d994a8eb781e7688d7b9a9f0", "name": "JIAYI YANG", "count": 29, "terms": [ { "term": "1262", "count": 29, "sections": 1, "gpa": 3.3448275862068964 } ] }, { "uid": "instructor_bb4027776e99d5a361bfe0a2", "name": "ZHILING LIN", "count": 27, "terms": [ { "term": "1244", "count": 27, "sections": 1, "gpa": 3.962962962962963 } ] }, { "uid": "instructor_abcc3fe0538d74ee35437c07", "name": "MICHAEL PHILIP CIUCHTA", "count": 26, "terms": [ { "term": "1082", "count": 26, "sections": 1, "gpa": 3.6346153846153846 } ] }, { "uid": "instructor_27a426986215b4d28f709ef8", "name": "SANGYUN KIM", "count": 19, "terms": [ { "term": "1204", "count": 19, "sections": 1, "gpa": 3.6315789473684212 } ] }, { "uid": "instructor_9b6e3cfd7781d7118a2a11ef", "name": "MICHELE EILEEN YODER", "count": 18, "terms": [ { "term": "1114", "count": 18, "sections": 1, "gpa": 3.8333333333333335 } ] } ] ``` ## following | code | title | | ------- | ----------------------------------------------------- | | MHR 427 | ENTREPRENEURIAL GROWTH STRATEGIES | | MHR 438 | WISCONSIN APPLIED VENTURES IN ENTREPRENEURSHIP (WAVE) | ## projection ### target 1272 ### interval #### lower 3.56 #### upper 3.99 #### coverage 80 #### terms 8 ### gpa 3.772690145632337 ### grades | grade | percentage | | ----- | ------------------- | | A | 65.92327316054667 | | AB | 25.711327499075555 | | B | 7.502586570748777 | | BC | 0.43140638481449517 | | C | 0 | | D | 0 | | F | 0.43140638481449517 | ### source Terms * 1242 * 1232 * 1222 ### source Count 228 ### same Season true ### historical Range * 3.727272727272727 * 3.8289473684210527 ### backtest #### terms 8 #### gpa Error 0.12051782976707281 #### mix Error 16.059033790749105