# MHR 715: Strategic Management of Innovation | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MHR_715) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+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 5539817e3b765704da3caaf53c461cbc00ed6219f3380461731e25958bda52ea ### course id MHR 715 ### course uid course\_ec7f217a7dded862500b3dca ### catalog version id b5c0d4c355238f87a8839a1671a38ef7db228add9ada8380f7a4151db18c8c86 ### course number 715 ### subjects * MHR ### title STRATEGIC MANAGEMENT OF INNOVATION ### description Helps student gain tools, concepts and information about how to generate value from Innovation and technology in existing organizations. ### requirements text Graduate/professional standing or declared in graduate Business Exchange program ### credits min 2 ### credits max 3 ### credit offering ids * 1272:236:023063 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id fc1f49138909969d35b399a95fd9152bcd8684a0268912e6b045c46559fda1cb ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MHR 715 teaches tools and concepts for generating value from innovation and technology within existing organizations. ### llm topics * Innovation and technology in existing organizations ### llm skills * Generate value from innovation and technology in existing organizations ### llm assumed background None recorded. ### llm search phrases * innovation management * technology strategy * organizational value * MHR 715 strategic innovation ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 03185aad4ff39492703881b0072362959acb40bf03696207867f2eedd553791d #### course id MHR 715 #### current instructors None recorded. #### difficulty workload Historical reviews of Martin Ganco: Students must read 10-20 pages of case studies weekly, complete brief analyses, take online book quizzes, and finish a group project. ```json { "citations": [ { "instructor_name": "Martin Ganco", "review_date": "2017-04-26 19:15:04 +0000 UTC", "review_id": "16d4366ea86d8f2ca8ff3fe6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2241452", "source_review_id": "UmF0aW5nLTI4MTM1NjM5", "source_url": "https://www.ratemyprofessors.com/professor/2241452", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Martin Ganco: Martin Ganco is described as enthusiastic, friendly, and helpful, providing significant feedback on homework assignments. Reviewers note he is a strong instructor worth taking again, despite the course workload. ```json { "citations": [ { "instructor_name": "Martin Ganco", "review_date": "2017-04-26 19:15:04 +0000 UTC", "review_id": "16d4366ea86d8f2ca8ff3fe6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2241452", "source_review_id": "UmF0aW5nLTI4MTM1NjM5", "source_url": "https://www.ratemyprofessors.com/professor/2241452", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews of Martin Ganco: Martin Ganco is enthusiastic and helpful, making the course worth taking despite the weekly reading and group project workload. ```json { "citations": [ { "instructor_name": "Martin Ganco", "review_date": "2017-04-26 19:15:04 +0000 UTC", "review_id": "16d4366ea86d8f2ca8ff3fe6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2241452", "source_review_id": "UmF0aW5nLTI4MTM1NjM5", "source_url": "https://www.ratemyprofessors.com/professor/2241452", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.52 GPA, 72.4% A/AB (n=29 letter grades); Fall 2025: 3.82 GPA, 97.0% A/AB (n=66 letter grades); Spring 2026: 3.80 GPA, 87.0% A/AB (n=23 letter grades). ```json { "citations": [ { "course_id": "MHR 715", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MHR 715", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MHR 715", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Martin Ganco: Reviewers found Martin Ganco friendly and supportive with ample homework feedback, though the reading volume and group project were noted downsides. ```json { "citations": [ { "instructor_name": "Martin Ganco", "review_date": "2017-04-26 19:15:04 +0000 UTC", "review_id": "16d4366ea86d8f2ca8ff3fe6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2241452", "source_review_id": "UmF0aW5nLTI4MTM1NjM5", "source_url": "https://www.ratemyprofessors.com/professor/2241452", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history MARTIN GANCO is recorded teaching in Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MHR 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "source_record": { "entity_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "MHR 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "source_record": { "entity_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" }, { "course_id": "MHR 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "source_record": { "entity_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "MHR 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "source_record": { "entity_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "MHR 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "source_record": { "entity_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "MHR 715", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "source_record": { "entity_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MHR 715", "run_id": "20260907T155543-ce3781c4", "section_number": 50, "source_course_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "source_record": { "entity_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MHR 715", "run_id": "20260907T155543-ce3781c4", "section_number": 50, "source_course_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "source_record": { "entity_id": "d2df3b1c-b062-3fbf-b55d-045029850b9e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Graduate/professional standing or declared in graduate Business Exchange program", "course": null, "evidence": "Graduate/professional standing or declared in graduate Business Exchange program", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:236:023063", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1272", "source_course_id": "023063", "source_subject_id": "236", "title": "Strategic Management of Innovation", "credits_min": 2, "credits_max": 3, "typically_offered": "Occasionally" } ] ``` ### sections None recorded. ### grade instructors ```json [ { "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": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.673, "graded": 561, "counts": [ 303, 168, 79, 5, 5, 1, 0 ], "sections": 31 }, "instructor_url": "/instructors/CHAD_NAVIS--instructor_c76b42b9b69cfbecbdd292f9" }, { "instructor_uid": "instructor_b8493f37e16a1e5dd04710b8", "source": "madgrades", "source_instructor_id": "3777151", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARTIN GANCO", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 2, "quality": 4.5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2241452", "source_url": "https://www.ratemyprofessors.com/professor/2241452", "match_basis": "exact_name", "observed_at": "2026-09-07 16:20:20.099642+00:00", "courses": { "course_ba431ca9abcfcac1bac9b4e0": { "review_count": 1, "quality": 4, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_ec7f217a7dded862500b3dca": { "review_count": 1, "quality": 5, "difficulty": 3, 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"2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.586, "graded": 583, "counts": [ 236, 236, 95, 11, 4, 0, 1 ], "sections": 26 }, "instructor_url": "/instructors/FLORENCE_HONORE--instructor_0766aceb941eecdaf4f52581" }, { "instructor_uid": "instructor_f826bcb400636de4ed39d2e1", "source": "madgrades", "source_instructor_id": "4426758", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JUN GOH", "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": 3.567, "graded": 457, "counts": [ 203, 150, 82, 14, 6, 0, 2 ], "sections": 14 }, "instructor_url": "/instructors/JUN_GOH--instructor_f826bcb400636de4ed39d2e1" }, { "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_20107e0dabaec7ff1c918089", "source": "madgrades", "source_instructor_id": "6372822", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YANFU FANG", "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": 3.456, "graded": 746, "counts": [ 262, 243, 187, 28, 24, 1, 1 ], "sections": 14 }, "instructor_url": "/instructors/YANFU_FANG" }, { "instructor_uid": "instructor_d6a0f742e907f3d889132611", "source": "madgrades", "source_instructor_id": "6216177", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SIK CHUNG", "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": 3.734, "graded": 47, "counts": [ 30, 10, 6, 1, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/SIK_CHUNG--instructor_d6a0f742e907f3d889132611" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "CHAD NAVIS" ], "a": 5, "ab": 1, "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": 6, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "CHAD NAVIS" ], "a": 8, "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": 8, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "CHAD NAVIS" ], "a": 28, "ab": 14, "b": 3, "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": 45, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "CHAD NAVIS" ], "a": 26, "ab": 17, "b": 3, "bc": 0, "c": 2, "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": 48, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "CHAD NAVIS" ], "a": 20, "ab": 12, "b": 11, "bc": 3, "c": 0, "d": 0, "f": 0, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 49, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "CHAD NAVIS" ], "a": 35, "ab": 5, "b": 2, "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": 1, "other": 0, "total": 43, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "Martin Ganco" ], "a": 19, "ab": 17, "b": 8, "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": 1, "other": 0, "total": 45, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "Martin Ganco" ], "a": 18, "ab": 16, "b": 6, "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": 40, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Martin Ganco" ], "a": 19, "ab": 24, "b": 4, "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": 47, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Martin Ganco" ], "a": 12, "ab": 20, "b": 3, "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": 35, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Martin Ganco" ], "a": 21, "ab": 12, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "PHILIP GREENWOOD" ], "a": 39, "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": 39, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Chang Liu", "Martin Ganco" ], "a": 5, "ab": 8, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 16, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "PHILIP GREENWOOD" ], "a": 37, "ab": 7, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "JUNGWON SON", "Martin Ganco" ], "a": 32, "ab": 9, "b": 6, "bc": 0, "c": 2, "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": 50, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Florence Honore", "Jun Goh" ], "a": 10, "ab": 11, "b": 7, "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": 1, "other": 0, "total": 30, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Martin Ganco", "Zhiling Lin" ], "a": 46, "ab": 18, "b": 1, "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": 66, "source_aliases": [ "MHR 715" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 715", "course_uid": "course_ec7f217a7dded862500b3dca", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "SIK CHUNG", "YANFU FANG" ], "a": 17, "ab": 3, "b": 3, "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": 23, "source_aliases": [ "MHR 715" ] } ] ``` ### statistics #### gpa 3.732 #### graded 663 #### counts * 397 * 194 * 62 * 4 * 5 * 1 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_ec7f217a7dded862500b3dca-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_ec7f217a7dded862500b3dca-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_ec7f217a7dded862500b3dca-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_ec7f217a7dded862500b3dca-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_ec7f217a7dded862500b3dca-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_ec7f217a7dded862500b3dca-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_ec7f217a7dded862500b3dca-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_ec7f217a7dded862500b3dca-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.731523378582202 #### count 663 #### university ##### size 4958 ##### gpa Percentile 50 ##### count Percentile 84 ##### median Count 149 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 13 | false | | 2.8–3.2 | 308 | false | | 3.2–3.6 | 1341 | false | | 3.6–4.0 | 3296 | true | #### departments ```json [ { "subject": "MHR", "comparison": { "size": 51, "gpaPercentile": 48, "countPercentile": 76, "medianCount": 186, "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": 11, "current": false }, { "range": "3.6–4.0", "count": 40, "current": true } ] } } ] ``` ### terms #### 1104 ##### term 1104 ##### gpa 3.9166666666666665 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1112 ##### term 1112 ##### gpa 4 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1124 ##### term 1124 ##### gpa 3.7777777777777777 ##### count 45 ##### university ###### size 821 ###### gpa Percentile 78 ###### count Percentile 30 ###### 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 | false | | 3.6–4.0 | 280 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 17, "gpaPercentile": 81, "countPercentile": 38, "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": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.6770833333333335 ##### count 48 ##### university ###### size 852 ###### gpa Percentile 73 ###### 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 | false | | 3.6–4.0 | 287 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 17, "gpaPercentile": 63, "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": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.532608695652174 ##### count 46 ##### university ###### size 878 ###### gpa Percentile 61 ###### 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 | 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": 40, "countPercentile": 20, "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 } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.892857142857143 ##### count 42 ##### university ###### size 935 ###### gpa Percentile 87 ###### count Percentile 24 ###### 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": 71, "countPercentile": 21, "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 } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.625 ##### count 44 ##### university ###### size 965 ###### 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 | 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": 27, "countPercentile": 47, "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 } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.65 ##### count 40 ##### university ###### size 955 ###### gpa Percentile 65 ###### count Percentile 18 ###### 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": 71, "countPercentile": 35, "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 } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.6595744680851063 ##### count 47 ##### university ###### size 1010 ###### gpa Percentile 65 ###### count Percentile 30 ###### 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": 43, "countPercentile": 50, "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 } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.6285714285714286 ##### count 35 ##### university ###### size 1040 ###### gpa Percentile 59 ###### count Percentile 10 ###### 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": 60, "countPercentile": 10, "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 } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.75 ##### count 36 ##### university ###### size 1012 ###### gpa Percentile 51 ###### count Percentile 14 ###### 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": 50, "countPercentile": 29, "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 } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 4 ##### count 39 ##### university ###### size 1171 ###### gpa Percentile 94 ###### count Percentile 20 ###### 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": 19, "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 } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.6 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1244 ##### term 1244 ##### gpa 3.9204545454545454 ##### count 44 ##### university ###### size 1241 ###### gpa Percentile 84 ###### count Percentile 28 ###### 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": 79, "countPercentile": 42, "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 3.65 ##### count 50 ##### university ###### size 1333 ###### gpa Percentile 47 ###### count Percentile 35 ###### 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": 40, "countPercentile": 40, "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 3.5172413793103448 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1262 ##### term 1262 ##### gpa 3.8181818181818183 ##### count 66 ##### university ###### size 1320 ###### gpa Percentile 66 ###### count Percentile 47 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": 58, "countPercentile": 33, "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 3.8043478260869565 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | ### benchmarks #### all ##### school ###### size 4958 ###### gpa 3.675686885826739 ###### top Share 82.78122457249042 ###### count 149 ##### MHR ###### size 51 ###### gpa 3.727619314514613 ###### top Share 86.29692753868378 ###### count 186 #### terms ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### MHR ###### size 15 ###### gpa 3.6796336120822173 ###### top Share 84.63163473406175 ###### count 67 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### MHR ###### size 20 ###### gpa 3.7145770777225 ###### top Share 85.30036593342922 ###### count 52.5 ##### 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_b8493f37e16a1e5dd04710b8", "name": "MARTIN GANCO", "count": 333, "terms": [ { "term": "1164", "count": 44, "sections": 1, "gpa": 3.625 }, { "term": "1174", "count": 40, "sections": 1, "gpa": 3.65 }, { "term": "1184", "count": 47, "sections": 1, "gpa": 3.6595744680851063 }, { "term": "1194", "count": 35, "sections": 1, "gpa": 3.6285714285714286 }, { "term": "1204", "count": 36, "sections": 1, "gpa": 3.75 }, { "term": "1234", "count": 15, "sections": 1, "gpa": 3.6 }, { "term": "1252", "count": 50, "sections": 1, "gpa": 3.65 }, { "term": "1262", "count": 66, "sections": 1, "gpa": 3.8181818181818183 } ] }, { "uid": "instructor_c76b42b9b69cfbecbdd292f9", "name": "CHAD NAVIS", "count": 195, "terms": [ { "term": "1104", "count": 6, "sections": 1, "gpa": 3.9166666666666665 }, { "term": "1112", "count": 8, "sections": 1, "gpa": 4 }, { "term": "1124", "count": 45, "sections": 1, "gpa": 3.7777777777777777 }, { "term": "1134", "count": 48, "sections": 1, "gpa": 3.6770833333333335 }, { "term": "1144", "count": 46, "sections": 1, "gpa": 3.532608695652174 }, { "term": "1154", "count": 42, "sections": 1, "gpa": 3.892857142857143 } ] }, { "uid": "instructor_f6bd67a845cf57dd62260cf2", "name": "PHILIP GREENWOOD", "count": 83, "terms": [ { "term": "1224", "count": 39, "sections": 1, "gpa": 4 }, { "term": "1244", "count": 44, "sections": 1, "gpa": 3.9204545454545454 } ] }, { "uid": "instructor_bb4027776e99d5a361bfe0a2", "name": "ZHILING LIN", "count": 66, "terms": [ { "term": "1262", "count": 66, "sections": 1, "gpa": 3.8181818181818183 } ] }, { "uid": "instructor_5ab818e45d92c1daf55cd11c", "name": "JUNGWON SON", "count": 50, "terms": [ { "term": "1252", "count": 50, "sections": 1, "gpa": 3.65 } ] }, { "uid": "instructor_0766aceb941eecdaf4f52581", "name": "FLORENCE HONORE", "count": 29, "terms": [ { "term": "1254", "count": 29, "sections": 1, "gpa": 3.5172413793103448 } ] }, { "uid": "instructor_f826bcb400636de4ed39d2e1", "name": "JUN GOH", "count": 29, "terms": [ { "term": "1254", "count": 29, "sections": 1, "gpa": 3.5172413793103448 } ] }, { "uid": "instructor_20107e0dabaec7ff1c918089", "name": "YANFU FANG", "count": 23, "terms": [ { "term": "1264", "count": 23, "sections": 1, "gpa": 3.8043478260869565 } ] }, { "uid": "instructor_d6a0f742e907f3d889132611", "name": "SIK CHUNG", "count": 23, "terms": [ { "term": "1264", "count": 23, "sections": 1, "gpa": 3.8043478260869565 } ] }, { "uid": "instructor_2bb9968fdc019a6f1d5dd5ce", "name": "CHANG LIU", "count": 15, "terms": [ { "term": "1234", "count": 15, "sections": 1, "gpa": 3.6 } ] } ] ``` ## following | code | title | | ------- | ----------------------------------------------------- | | MHR 738 | WISCONSIN APPLIED VENTURES IN ENTREPRENEURSHIP (WAVE) |