# MHR 434: Venture Creation | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MHR_434) ## 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 5792e167ae63c663ea5def5d863b653629d14dca1f88afdd3f37bab315f20d07 ### course id MHR 434 ### course uid course\_711e0eb5a0b86ceeefd6dd86 ### catalog version id 642fe597fcd3cfee461e28cdd52e622ad25e6cbadacfb59cc375bbd0137c0fe8 ### course number 434 ### subjects * MHR ### title VENTURE CREATION ### description Transform your ideas into new ventures. Learn the process of evaluating, formalizing, and communicating a new venture idea. Student originated product/service/venture concept required for course. ### requirements text Sophomore standing. Not open to graduate/professional students ### credits min 3 ### credits max 3 ### credit offering ids * 1272:236:022576 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id effbfc66684848471f4cae71f7bc7207e2ac3302159383d0ca2ce6fbd77c4df7 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MHR 434: Venture Creation teaches students to evaluate, formalize, and communicate new venture ideas, requiring a student-originated concept. ### llm topics * New venture idea evaluation and formalization * Student-originated product or service concepts ### llm skills * Evaluating, formalizing, and communicating new venture ideas ### llm assumed background None recorded. ### llm search phrases * entrepreneurship course * new venture creation * startup idea evaluation * MHR venture concept ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 648691bca75653e0bf38ea952f3c361f28306183eaedd341c140a20f694722fd #### course id MHR 434 #### current instructors ```json [ { "instructor_uid": "instructor_1f649d1ecc2fa239139baa16", "message": "No course-specific reviews available", "name": "Sean Ebert", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_da573361bd69b869e964d196", "message": "No course-specific reviews available", "name": "Shi Huang", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload Historical reviews of Philip Greenwood, Stefan Koehler: Workload challenges include a difficult final project that suffers from poor group dynamics and a lack of in-class structure, requiring significant independent reading on external platforms. ```json { "citations": [ { "instructor_name": "Stefan Koehler", "review_date": "2013-12-12 00:26:00 +0000 UTC", "review_id": "69baa3788fa4dcc5cd91e5b7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1679601", "source_review_id": "UmF0aW5nLTIyNTE4NDI3", "source_url": "https://www.ratemyprofessors.com/professor/1679601", "type": "review" }, { "instructor_name": "Philip Greenwood", "review_date": "2021-12-15 20:48:08 +0000 UTC", "review_id": "77d9a3deb1127b9e2f526801", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1098039", "source_review_id": "UmF0aW5nLTM1NTQyODUy", "source_url": "https://www.ratemyprofessors.com/professor/1098039", "type": "review" } ] } ``` #### errors None recorded. #### historical context No reviews exist for current instructors Sean Ebert or Shi Huang. Historical reviews for Phillip Kim, Philip Greenwood, and Stefan Koehler describe varied experiences. Koehler is praised for passion but criticized for unclear financial projections. Greenwood is noted for accessibility but criticized for poor structure. Kim is praised for carefree style and interesting content. ```json { "citations": [ { "instructor_name": "Phillip Kim", "review_date": "2009-08-25 12:46:56 +0000 UTC", "review_id": "8e77f0ec557a8bd4a4274b9b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:910813", "source_review_id": "UmF0aW5nLTE2MTQ5MDU4", "source_url": "https://www.ratemyprofessors.com/professor/910813", "type": "review" }, { "instructor_name": "Philip Greenwood", "review_date": "2011-02-05 12:19:21 +0000 UTC", "review_id": "67838c3d01ae7e48f32d8b4b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1098039", "source_review_id": "UmF0aW5nLTE4MjExOTc3", "source_url": "https://www.ratemyprofessors.com/professor/1098039", "type": "review" }, { "instructor_name": "Stefan Koehler", "review_date": "2013-12-11 20:34:14 +0000 UTC", "review_id": "76fdf9c8a79572abb0397587", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1679601", "source_review_id": "UmF0aW5nLTIyNTE0NDIx", "source_url": "https://www.ratemyprofessors.com/professor/1679601", "type": "review" }, { "instructor_name": "Stefan Koehler", "review_date": "2013-12-12 00:26:00 +0000 UTC", "review_id": "69baa3788fa4dcc5cd91e5b7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1679601", "source_review_id": "UmF0aW5nLTIyNTE4NDI3", "source_url": "https://www.ratemyprofessors.com/professor/1679601", "type": "review" }, { "instructor_name": "Philip Greenwood", "review_date": "2021-12-15 20:48:08 +0000 UTC", "review_id": "77d9a3deb1127b9e2f526801", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1098039", "source_review_id": "UmF0aW5nLTM1NTQyODUy", "source_url": "https://www.ratemyprofessors.com/professor/1098039", "type": "review" }, { "instructor_name": "Philip Greenwood", "review_date": "2022-04-13 05:30:16 +0000 UTC", "review_id": "6d06292e27b9e7cfb30881b2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1098039", "source_review_id": "UmF0aW5nLTM2MDY4NjUz", "source_url": "https://www.ratemyprofessors.com/professor/1098039", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews describe MHR 434 as an interesting and easy course where students learn basic entrepreneurship principles and receive valuable advice, though experiences vary by instructor. ```json { "citations": [ { "instructor_name": "Phillip Kim", "review_date": "2009-08-25 12:46:56 +0000 UTC", "review_id": "8e77f0ec557a8bd4a4274b9b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:910813", "source_review_id": "UmF0aW5nLTE2MTQ5MDU4", "source_url": "https://www.ratemyprofessors.com/professor/910813", "type": "review" }, { "instructor_name": "Philip Greenwood", "review_date": "2011-02-05 12:19:21 +0000 UTC", "review_id": "67838c3d01ae7e48f32d8b4b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1098039", "source_review_id": "UmF0aW5nLTE4MjExOTc3", "source_url": "https://www.ratemyprofessors.com/professor/1098039", "type": "review" }, { "instructor_name": "Stefan Koehler", "review_date": "2013-12-11 20:34:14 +0000 UTC", "review_id": "76fdf9c8a79572abb0397587", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1679601", "source_review_id": "UmF0aW5nLTIyNTE0NDIx", "source_url": "https://www.ratemyprofessors.com/professor/1679601", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.87 GPA, 89.1% A/AB (n=46 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=45 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=43 letter grades). ```json { "citations": [ { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Philip Greenwood, Stefan Koehler: Students report that group projects are a central component, with some finding them fun and the overall experience easy. ```json { "citations": [ { "instructor_name": "Stefan Koehler", "review_date": "2013-12-11 20:34:14 +0000 UTC", "review_id": "76fdf9c8a79572abb0397587", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1679601", "source_review_id": "UmF0aW5nLTIyNTE0NDIx", "source_url": "https://www.ratemyprofessors.com/professor/1679601", "type": "review" }, { "instructor_name": "Philip Greenwood", "review_date": "2022-04-13 05:30:16 +0000 UTC", "review_id": "6d06292e27b9e7cfb30881b2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1098039", "source_review_id": "UmF0aW5nLTM2MDY4NjUz", "source_url": "https://www.ratemyprofessors.com/professor/1098039", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history PHILIP GREENWOOD is recorded teaching in Spring 2007, Fall 2008, Spring 2010, Fall 2010, Spring 2012, Spring 2013, Spring 2015, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Fall 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1074", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1104", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1112", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1124", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" } ] } ``` PHILLIP KIM is recorded teaching in Fall 2007, Spring 2008, Spring 2009, Fall 2009, Spring 2011, Fall 2011, Spring 2014. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1082", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1084", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1094", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1114", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" } ] } ``` STEFAN KOEHLER is recorded teaching in 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 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "MHR 434", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "source_record": { "entity_id": "3d1c06ba-3b53-34ce-8a26-e90dd33d803d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "Sophomore standing. Not open to graduate/professional students", "id": "n0", "kind": "all" }, { "children": [], "condition": "Sophomore standing.", "course": null, "evidence": "Sophomore standing.", "id": "n1", "kind": "condition" }, { "children": [], "condition": "Not open to graduate/professional students", "course": null, "evidence": "Not open to graduate/professional students", "id": "n2", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ---------- | ------------------- | -------------------------------- | -------------------------------- | ------------------------ | | instructor\_1f649d1ecc2fa239139baa16 | enrollment | smebert2 | netid | source\_identified | Sean Ebert | SMEBERT2\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/SEAN\_EBERT | | instructor\_da573361bd69b869e964d196 | enrollment | shuang637 | netid | source\_identified | Shi Huang | SHI.HUANG\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/SHI\_HUANG | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:236:022576", "course_id": "MHR 434", "course_uid": "course_711e0eb5a0b86ceeefd6dd86", "term_id": "1272", "source_course_id": "022576", "source_subject_id": "236", "title": "Venture Creation", "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:1272:10994", "term_id": "1272", "source_section_id": "10994", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 47, "enrolled": 34, "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_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_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_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_6b460cb682d2d4608121a6e4", "source": "madgrades", "source_instructor_id": "1423372", "identity_basis": "source_id", "identity_status": "source_identified", "name": "STEFAN KOEHLER", "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": 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 }, "grade_statistics": { "gpa": 3.591, "graded": 1242, "counts": [ 555, 416, 230, 31, 7, 2, 1 ], "sections": 30 }, "instructor_url": "/instructors/STEFAN_KOEHLER--instructor_6b460cb682d2d4608121a6e4" }, { "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_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_bf9d60cd8038eb79d8e1b0c5", "source": "madgrades", "source_instructor_id": "6290402", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MINAH PARK", "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": 3.614, "graded": 289, "counts": [ 159, 62, 53, 9, 4, 2, 0 ], "sections": 3 }, "instructor_url": "/instructors/MINAH_PARK--instructor_bf9d60cd8038eb79d8e1b0c5" }, { "instructor_uid": "instructor_889188d7cc318517357cc390", "source": "madgrades", "source_instructor_id": "6314437", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JINTING ZHOU", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.863, "graded": 492, "counts": [ 399, 66, 17, 7, 2, 1, 0 ], "sections": 14 }, "instructor_url": "/instructors/JINTING_ZHOU--instructor_889188d7cc318517357cc390" }, { "instructor_uid": "instructor_1f649d1ecc2fa239139baa16", "source": "enrollment", "source_instructor_id": "smebert2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Sean Ebert", "email": "SMEBERT2@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/SEAN_EBERT" }, { "instructor_uid": "instructor_da573361bd69b869e964d196", "source": "enrollment", "source_instructor_id": "shuang637", "identity_basis": "netid", "identity_status": "source_identified", "name": "Shi Huang", "email": "SHI.HUANG@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/SHI_HUANG" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 434", "course_uid": "course_711e0eb5a0b86ceeefd6dd86", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "PHILIP GREENWOOD" ], "a": 2, "ab": 7, "b": 5, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 15, "source_aliases": [ "MHR 434" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 434", "course_uid": "course_711e0eb5a0b86ceeefd6dd86", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "PHILLIP KIM" ], "a": 12, "ab": 2, "b": 2, "bc": 1, "c": 1, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 19, "source_aliases": [ "MHR 434" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 434", "course_uid": "course_711e0eb5a0b86ceeefd6dd86", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "PHILLIP KIM" ], "a": 5, "ab": 2, "b": 2, "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": 11, "source_aliases": [ "MHR 434" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 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Williams" ], "a": 43, "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": 43, "source_aliases": [ "MHR 434" ] } ] ``` ### statistics #### gpa 3.781 #### graded 1326 #### counts * 922 * 279 * 97 * 13 * 11 * 3 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_711e0eb5a0b86ceeefd6dd86-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_711e0eb5a0b86ceeefd6dd86-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_711e0eb5a0b86ceeefd6dd86-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_711e0eb5a0b86ceeefd6dd86-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_711e0eb5a0b86ceeefd6dd86-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_711e0eb5a0b86ceeefd6dd86-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_711e0eb5a0b86ceeefd6dd86-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_711e0eb5a0b86ceeefd6dd86-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_711e0eb5a0b86ceeefd6dd86-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_711e0eb5a0b86ceeefd6dd86-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7805429864253393 #### count 1326 #### university ##### size 5765 ##### gpa Percentile 57 ##### count Percentile 86 ##### median Count 237 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 10 | false | | 2.8–3.2 | 366 | false | | 3.2–3.6 | 1574 | false | | 3.6–4.0 | 3815 | true | #### departments ```json [ { "subject": "MHR", "comparison": { "size": 55, "gpaPercentile": 54, "countPercentile": 76, "medianCount": 303, "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": 44, "current": true } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.3333333333333335 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1082 ##### term 1082 ##### gpa 3.5 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1084 ##### term 1084 ##### gpa 3.409090909090909 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1092 ##### term 1092 ##### gpa 3.6538461538461537 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1094 ##### term 1094 ##### gpa 3.3333333333333335 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1102 ##### term 1102 ##### gpa 3.4166666666666665 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1104 ##### term 1104 ##### gpa 3.7777777777777777 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1112 ##### term 1112 ##### gpa 3.6 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1114 ##### term 1114 ##### gpa 3.738095238095238 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1122 ##### term 1122 ##### gpa 3.642857142857143 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1124 ##### term 1124 ##### gpa 3.5568181818181817 ##### count 44 ##### university ###### size 821 ###### gpa Percentile 63 ###### count Percentile 28 ###### 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": 38, "countPercentile": 25, "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 3.5675675675675675 ##### count 37 ##### university ###### size 851 ###### gpa Percentile 65 ###### count Percentile 14 ###### 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": 46, "countPercentile": 15, "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 3.5348837209302326 ##### count 43 ##### university ###### size 852 ###### gpa Percentile 60 ###### count Percentile 25 ###### 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": 25, "countPercentile": 19, "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 3.477272727272727 ##### count 44 ##### university ###### size 853 ###### gpa Percentile 58 ###### count Percentile 27 ###### 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": 29, "countPercentile": 41, "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 3.2545454545454544 ##### count 55 ##### university ###### size 878 ###### gpa Percentile 37 ###### count Percentile 40 ###### 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": 7, "countPercentile": 40, "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 3.7954545454545454 ##### count 44 ##### university ###### size 918 ###### gpa Percentile 83 ###### count Percentile 27 ###### 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": 71, "countPercentile": 35, "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 4 ##### count 35 ##### university ###### size 935 ###### gpa Percentile 96 ###### count Percentile 10 ###### 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": 86, "countPercentile": 14, "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 3.858974358974359 ##### count 39 ##### university ###### size 954 ###### gpa Percentile 86 ###### count Percentile 17 ###### 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": 59, "countPercentile": 24, "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 3.8333333333333335 ##### count 42 ##### university ###### size 965 ###### gpa Percentile 80 ###### count Percentile 24 ###### 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": 80, "countPercentile": 40, "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 3.75 ##### count 36 ##### university ###### size 991 ###### gpa Percentile 73 ###### count Percentile 13 ###### 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": 56, "countPercentile": 6, "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 3.6744186046511627 ##### count 43 ##### university ###### size 955 ###### gpa Percentile 67 ###### count Percentile 24 ###### 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 | false | | 3.6–4.0 | 369 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 18, "gpaPercentile": 76, "countPercentile": 53, "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": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.6666666666666665 ##### count 36 ##### university ###### size 1025 ###### gpa Percentile 66 ###### count Percentile 10 ###### 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": 35, "countPercentile": 6, "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 3.6333333333333333 ##### count 45 ##### university ###### size 1010 ###### gpa Percentile 62 ###### 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": 36, "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 3.9625 ##### count 40 ##### university ###### size 1077 ###### gpa Percentile 93 ###### count Percentile 21 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 18, "gpaPercentile": 88, "countPercentile": 12, "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": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 4 ##### count 42 ##### university ###### size 1040 ###### gpa Percentile 95 ###### count Percentile 23 ###### 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 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 11, "gpaPercentile": 100, "countPercentile": 20, "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": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.9696969696969697 ##### count 33 ##### university ###### size 1102 ###### gpa Percentile 94 ###### count Percentile 7 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 18, "gpaPercentile": 94, "countPercentile": 0, "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": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.742857142857143 ##### count 35 ##### university ###### size 1012 ###### gpa Percentile 50 ###### count Percentile 12 ###### 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 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 15, "gpaPercentile": 43, "countPercentile": 14, "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": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 4 ##### count 42 ##### university ###### size 1111 ###### gpa Percentile 96 ###### count Percentile 23 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 17, "gpaPercentile": 88, "countPercentile": 38, "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": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.9431818181818183 ##### count 44 ##### university ###### size 1157 ###### gpa Percentile 90 ###### count Percentile 29 ###### 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": 88, "countPercentile": 41, "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 4 ##### count 37 ##### university ###### size 1171 ###### gpa Percentile 94 ###### count Percentile 16 ###### 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": 94, "countPercentile": 6, "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 3.9761904761904763 ##### count 42 ##### university ###### size 1216 ###### gpa Percentile 93 ###### count Percentile 25 ###### 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": 88, "countPercentile": 31, "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 3.9358974358974357 ##### count 39 ##### university ###### size 1188 ###### gpa Percentile 87 ###### count Percentile 19 ###### 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 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 15, "gpaPercentile": 100, "countPercentile": 0, "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": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 4 ##### count 42 ##### university ###### size 1295 ###### gpa Percentile 96 ###### count Percentile 26 ###### 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": 87, "countPercentile": 33, "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 4 ##### count 37 ##### university ###### size 1241 ###### gpa Percentile 95 ###### count Percentile 15 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 20, "gpaPercentile": 100, "countPercentile": 16, "medianCount": 52.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 4 ##### count 44 ##### university ###### size 1333 ###### gpa Percentile 96 ###### count Percentile 27 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 16, "gpaPercentile": 93, "countPercentile": 33, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.869565217391304 ##### count 46 ##### university ###### size 1289 ###### gpa Percentile 76 ###### count Percentile 29 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 16, "gpaPercentile": 80, "countPercentile": 40, "medianCount": 62, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 4 ##### count 45 ##### university ###### size 1320 ###### gpa Percentile 95 ###### count Percentile 27 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 13, "gpaPercentile": 100, "countPercentile": 25, "medianCount": 79, "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": 9, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 4 ##### count 43 ##### university ###### size 1283 ###### gpa Percentile 95 ###### count Percentile 26 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 15, "gpaPercentile": 100, "countPercentile": 21, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5765 ###### gpa 3.674091719659712 ###### top Share 82.70571831138162 ###### count 237 ##### MHR ###### size 55 ###### gpa 3.7227224265472185 ###### top Share 86.11813670680135 ###### count 303 #### terms ##### 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 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### MHR ###### size 16 ###### gpa 3.691313990189199 ###### top Share 82.87021901416891 ###### count 70.5 ##### 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 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### MHR ###### size 15 ###### gpa 3.6881617401515574 ###### top Share 85.59922155991862 ###### count 68 ## instructor Trends ```json [ { "uid": "instructor_f6bd67a845cf57dd62260cf2", "name": "PHILIP GREENWOOD", "count": 545, "terms": [ { "term": "1074", "count": 15, "sections": 1, "gpa": 3.3333333333333335 }, { "term": "1092", "count": 13, "sections": 1, "gpa": 3.6538461538461537 }, { "term": "1104", "count": 18, "sections": 1, "gpa": 3.7777777777777777 }, { "term": "1112", "count": 20, "sections": 1, "gpa": 3.6 }, { "term": "1124", "count": 44, "sections": 1, "gpa": 3.5568181818181817 }, { "term": "1134", "count": 43, "sections": 1, "gpa": 3.5348837209302326 }, { "term": "1154", "count": 35, "sections": 1, "gpa": 4 }, { "term": "1192", "count": 40, "sections": 1, "gpa": 3.9625 }, { "term": "1194", "count": 42, "sections": 1, "gpa": 4 }, { "term": "1202", "count": 33, "sections": 1, "gpa": 3.9696969696969697 }, { "term": "1204", "count": 35, "sections": 1, "gpa": 3.742857142857143 }, { "term": "1212", "count": 42, "sections": 1, "gpa": 4 }, { "term": "1222", "count": 44, "sections": 1, "gpa": 3.9431818181818183 }, { "term": "1224", "count": 37, "sections": 1, "gpa": 4 }, { "term": "1232", "count": 42, "sections": 1, "gpa": 3.9761904761904763 }, { "term": "1242", "count": 42, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_939f80e1e0b39c5d2a8a9328", "name": "MICHAEL WILLIAMS", "count": 287, "terms": [ { "term": "1144", "count": 34, "sections": 1, "gpa": 3.2205882352941178 }, { "term": "1184", "count": 45, "sections": 1, "gpa": 3.6333333333333333 }, { "term": "1234", "count": 39, "sections": 1, "gpa": 3.9358974358974357 }, { "term": "1244", "count": 37, "sections": 1, "gpa": 4 }, { "term": "1252", "count": 44, "sections": 1, "gpa": 4 }, { "term": "1262", "count": 45, "sections": 1, "gpa": 4 }, { "term": "1264", "count": 43, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_6b460cb682d2d4608121a6e4", "name": "STEFAN KOEHLER", "count": 163, "terms": [ { "term": "1142", "count": 44, "sections": 1, "gpa": 3.477272727272727 }, { "term": "1152", "count": 44, "sections": 1, "gpa": 3.7954545454545454 }, { "term": "1162", "count": 39, "sections": 1, "gpa": 3.858974358974359 }, { "term": "1172", "count": 36, "sections": 1, "gpa": 3.75 } ] }, { "uid": "instructor_1e38d89957a019b17e12ab3d", "name": "JONATHAN ECKHARDT", "count": 158, "terms": [ { "term": "1132", "count": 37, "sections": 1, "gpa": 3.5675675675675675 }, { "term": "1164", "count": 42, "sections": 1, "gpa": 3.8333333333333335 }, { "term": "1174", "count": 43, "sections": 1, "gpa": 3.6744186046511627 }, { "term": "1182", "count": 36, "sections": 1, "gpa": 3.6666666666666665 } ] }, { "uid": "instructor_e7abd17fee34e82e9b4c9676", "name": "PHILLIP KIM", "count": 127, "terms": [ { "term": "1082", "count": 19, "sections": 1, "gpa": 3.5 }, { "term": "1084", "count": 11, "sections": 1, "gpa": 3.409090909090909 }, { "term": "1094", "count": 15, "sections": 1, "gpa": 3.3333333333333335 }, { "term": "1102", "count": 12, "sections": 1, "gpa": 3.4166666666666665 }, { "term": "1114", "count": 21, "sections": 1, "gpa": 3.738095238095238 }, { "term": "1122", "count": 28, "sections": 1, "gpa": 3.642857142857143 }, { "term": "1144", "count": 21, "sections": 1, "gpa": 3.3095238095238093 } ] }, { "uid": "instructor_bf9d60cd8038eb79d8e1b0c5", "name": "MINAH PARK", "count": 90, "terms": [ { "term": "1252", "count": 44, "sections": 1, "gpa": 4 }, { "term": "1254", "count": 46, "sections": 1, "gpa": 3.869565217391304 } ] }, { "uid": "instructor_2bb9968fdc019a6f1d5dd5ce", "name": "CHANG LIU", "count": 84, "terms": [ { "term": "1232", "count": 42, "sections": 1, "gpa": 3.9761904761904763 }, { "term": "1242", "count": 42, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_889188d7cc318517357cc390", "name": "JINTING ZHOU", "count": 45, "terms": [ { "term": "1262", "count": 45, "sections": 1, "gpa": 4 } ] } ] ``` ## following | code | title | | ------- | ----------------------------------------------------------------- | | MHR 415 | STRATEGIC MANAGEMENT OF INNOVATION AND CORPORATE ENTREPRENEURSHIP | | MHR 438 | WISCONSIN APPLIED VENTURES IN ENTREPRENEURSHIP (WAVE) | ## projection ### target 1272 ### interval #### lower 3.65 #### upper 4 #### coverage 80 #### terms 5 ### gpa 3.9894504987317934 ### grades | grade | percentage | | ----- | ----------------- | | A | 97.89009974635867 | | AB | 2.109900253641329 | | B | 0 | | BC | 0 | | C | 0 | | D | 0 | | F | 0 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 217 ### same Season true ### historical Range * 3.9431818181818183 * 4 ### backtest #### terms 5 #### gpa Error 0.08969987556461075 #### mix Error 11.073226325989912