# MHR 723: Business Strategy | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MHR_723) ## 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 be5b01bc28021e234362e76f2210d3675dbd703dbb2f7ad1946ec0484fc73e9d ### course id MHR 723 ### course uid course\_ac74693b044f2553161a1539 ### catalog version id 9eeedc698a5efe926c1c456085c40c652c51e20b7b37d67103a2b5661e27bdb2 ### course number 723 ### subjects * MHR ### title BUSINESS STRATEGY ### description Integrative approach to strategic management, including strategy formulation/implementation at business unit, corporate levels. Cases, discussion, lecture, simulation are used to communicate concepts. Emphasizes development of unique tools for analysis of companies and industries, application of knowledge to business problems. ### requirements text Graduate/professional standing or declared in graduate Business Exchange program ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id e925b20170d58c0f852c832b94781b84e8dbfee95387f4969272176bad367cd1 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary MHR 723 BUSINESS STRATEGY teaches an integrative approach to strategic management, focusing on strategy formulation and implementation at business unit and corporate levels. ### llm topics * Strategy formulation and implementation * Company and industry analysis * Business problem solving ### llm skills * Analysis of companies and industries * Application of knowledge to business problems * Strategy formulation and implementation ### llm assumed background None recorded. ### llm search phrases * strategic management * business strategy * strategy formulation * corporate strategy * business unit strategy * industry analysis * case study method * business simulation ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash d30d828e5426dbbf429749bd333c669964a8c23c02772093477482dacc91c714 #### course id MHR 723 #### current instructors None recorded. #### difficulty workload Historical reviews of Hart Posen: Reviewers report hundreds of pages of weekly reading and incredibly difficult tests, noting the workload is excessive for a three-hour weekly class. ```json { "citations": [ { "instructor_name": "Hart Posen", "review_date": "2023-01-29 09:44:32 +0000 UTC", "review_id": "57b7cfc76151ad28da9c31ef", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2878602", "source_review_id": "UmF0aW5nLTM3Mzg5MDM1", "source_url": "https://www.ratemyprofessors.com/professor/2878602", "type": "review" }, { "instructor_name": "Hart Posen", "review_date": "2023-01-29 23:34:47 +0000 UTC", "review_id": "d4c7ef2af46658df3a8d22ae", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2878602", "source_review_id": "UmF0aW5nLTM3Mzg5ODQz", "source_url": "https://www.ratemyprofessors.com/professor/2878602", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews for Hart Posen describe him as knowledgeable and humorous in Business Strategy, though reviewers felt the program was not a good fit for his teaching style. They cited excessive reading loads, vague requirements, and a heavy reliance on TAs as significant concerns. ```json { "citations": [ { "instructor_name": "Hart Posen", "review_date": "2023-01-29 09:44:32 +0000 UTC", "review_id": "57b7cfc76151ad28da9c31ef", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2878602", "source_review_id": "UmF0aW5nLTM3Mzg5MDM1", "source_url": "https://www.ratemyprofessors.com/professor/2878602", "type": "review" }, { "instructor_name": "Hart Posen", "review_date": "2023-01-29 23:34:47 +0000 UTC", "review_id": "d4c7ef2af46658df3a8d22ae", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2878602", "source_review_id": "UmF0aW5nLTM3Mzg5ODQz", "source_url": "https://www.ratemyprofessors.com/professor/2878602", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews for Hart Posen describe a knowledgeable but poorly matched instructor whose course is overly demanding for the time allocated, featuring vague requirements and difficult assessments. ```json { "citations": [ { "instructor_name": "Hart Posen", "review_date": "2023-01-29 09:44:32 +0000 UTC", "review_id": "57b7cfc76151ad28da9c31ef", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2878602", "source_review_id": "UmF0aW5nLTM3Mzg5MDM1", "source_url": "https://www.ratemyprofessors.com/professor/2878602", "type": "review" }, { "instructor_name": "Hart Posen", "review_date": "2023-01-29 23:34:47 +0000 UTC", "review_id": "d4c7ef2af46658df3a8d22ae", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2878602", "source_review_id": "UmF0aW5nLTM3Mzg5ODQz", "source_url": "https://www.ratemyprofessors.com/professor/2878602", "type": "review" } ] } ``` Recent recorded grades — Spring 2024: 3.55 GPA, 71.5% A/AB (n=193 letter grades); Spring 2025: 3.61 GPA, 83.7% A/AB (n=215 letter grades); Spring 2026: 3.75 GPA, 92.5% A/AB (n=174 letter grades). ```json { "citations": [ { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Hart Posen: Students found the grading harsh and vague, with little direction provided for group projects and excessive reliance on teaching assistants. ```json { "citations": [ { "instructor_name": "Hart Posen", "review_date": "2023-01-29 09:44:32 +0000 UTC", "review_id": "57b7cfc76151ad28da9c31ef", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2878602", "source_review_id": "UmF0aW5nLTM3Mzg5MDM1", "source_url": "https://www.ratemyprofessors.com/professor/2878602", "type": "review" }, { "instructor_name": "Hart Posen", "review_date": "2023-01-29 23:34:47 +0000 UTC", "review_id": "d4c7ef2af46658df3a8d22ae", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2878602", "source_review_id": "UmF0aW5nLTM3Mzg5ODQz", "source_url": "https://www.ratemyprofessors.com/professor/2878602", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history HART POSEN is recorded teaching in Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "MHR 723", 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"madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 30, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 30, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 30, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 50, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 20, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 21, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 22, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 30, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 50, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 51, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 20, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "MHR 723", "run_id": "20260907T155543-ce3781c4", "section_number": 21, "source_course_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "source_record": { "entity_id": "7db12df9-e931-3a40-9e7f-86f84af4336a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "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 None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_9c9202b9865517ff0dfa4195", "source": "madgrades", "source_instructor_id": "4183892", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CYNTHIA E DEVERS", "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": 3.804, "graded": 409, "counts": [ 296, 87, 18, 1, 4, 3, 0 ], "sections": 13 }, "instructor_url": "/instructors/CYNTHIA_E_DEVERS" }, { "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_160c1c94f1a1d776a8a13c05", "source": "madgrades", "source_instructor_id": "3559275", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANN TERLAAK", "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": 3.5, "difficulty": 3.08, "quality_count": 12, "difficulty_count": 12, "profile_id": "rmp:2143041", "source_url": "https://www.ratemyprofessors.com/professor/2143041", "match_basis": "exact_name", "observed_at": "2026-09-07 16:54:56.494385+00:00", "courses": { "course_fdd8b5b1ee2bc0afbb651dd8": { "review_count": 8, "quality": 4.75, "difficulty": 2.62, "quality_count": 8, "difficulty_count": 8 } }, "bayesian_quality": 3.599803614716622, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.484, "graded": 1544, "counts": [ 516, 632, 308, 46, 27, 11, 4 ], "sections": 58 }, "instructor_url": "/instructors/ANN_TERLAAK--instructor_160c1c94f1a1d776a8a13c05" }, { "instructor_uid": "instructor_e9bba6f50b3e90fb6ca90816", "source": "madgrades", "source_instructor_id": "4380930", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LORI CROSS", "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": 3.808, "graded": 731, "counts": [ 497, 191, 40, 2, 1, 0, 0 ], "sections": 17 }, "instructor_url": "/instructors/LORI_CROSS--instructor_e9bba6f50b3e90fb6ca90816" }, { "instructor_uid": "instructor_86c97a578bd194536cbc28b1", "source": "madgrades", "source_instructor_id": "2602020", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MASON CARPENTER", "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": 3.91, "graded": 266, "counts": [ 219, 46, 1, 0, 0, 0, 0 ], "sections": 21 }, "instructor_url": "/instructors/MASON_CARPENTER" }, { "instructor_uid": "instructor_5f2e939c3ba3c51f423f81e8", "source": "madgrades", "source_instructor_id": "4800638", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RUSSELL COFF", "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": 3.566, "graded": 1974, "counts": [ 746, 837, 319, 55, 15, 2, 0 ], "sections": 90 }, "instructor_url": "/instructors/RUSSELL_COFF" }, { "instructor_uid": "instructor_0dad4d08b8a07bf923025abe", "source": "madgrades", "source_instructor_id": "5110871", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HART POSEN", "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": 2.5, "difficulty": 5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2878602", "source_url": "https://www.ratemyprofessors.com/professor/2878602", "match_basis": "exact_name", "observed_at": "2026-09-07 16:37:05.749174+00:00", "courses": { "course_ac74693b044f2553161a1539": { "review_count": 2, "quality": 2.5, "difficulty": 5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.5542598032241774, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.512, "graded": 1533, "counts": [ 465, 683, 350, 31, 3, 0, 1 ], "sections": 54 }, "instructor_url": "/instructors/HART_POSEN" }, { "instructor_uid": "instructor_0766aceb941eecdaf4f52581", "source": "madgrades", "source_instructor_id": "6029315", "identity_basis": "source_id", "identity_status": "source_identified", "name": "FLORENCE HONORE", "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": 3.586, "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_4228087dbb9a909a0f97a36c", "source": "madgrades", "source_instructor_id": "6586149", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MAHKA MOEEN", "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": 3.644, "graded": 514, "counts": [ 244, 181, 85, 1, 3, 0, 0 ], "sections": 15 }, "instructor_url": "/instructors/MAHKA_MOEEN--instructor_4228087dbb9a909a0f97a36c" }, { "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_649e89090a54e46cac3ac425", "source": "madgrades", "source_instructor_id": "6802657", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JINGYA YOU", "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": 3.647, "graded": 34, "counts": [ 17, 10, 7, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/JINGYA_YOU" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 723", "course_uid": "course_ac74693b044f2553161a1539", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "CYNTHIA E DEVERS", "PHILIP GREENWOOD" ], "a": 98, "ab": 35, "b": 4, "bc": 0, "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": 139, "source_aliases": [ "MHR 723" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 723", "course_uid": "course_ac74693b044f2553161a1539", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "Ann Terlaak" ], "a": 12, "ab": 20, "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": 0, "other": 0, "total": 40, "source_aliases": [ "MHR 723" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 723", "course_uid": "course_ac74693b044f2553161a1539", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "CYNTHIA E DEVERS", "LORI CROSS" ], "a": 114, "ab": 39, "b": 4, "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": 159, "source_aliases": [ "MHR 723" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 723", "course_uid": "course_ac74693b044f2553161a1539", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "LORI CROSS", "MASON CARPENTER" ], "a": 34, "ab": 32, "b": 5, "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": 71, "source_aliases": [ "MHR 723" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 723", "course_uid": "course_ac74693b044f2553161a1539", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "MASON CARPENTER" ], "a": 78, "ab": 28, "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": 106, "source_aliases": [ "MHR 723" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 723", "course_uid": "course_ac74693b044f2553161a1539", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "Ann Terlaak", "LORI CROSS" ], "a": 52, "ab": 19, "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": 0, "other": 0, "total": 79, "source_aliases": [ "MHR 723" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 723", "course_uid": "course_ac74693b044f2553161a1539", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "MASON CARPENTER" ], "a": 125, "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": 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"term_name": "Spring 2025", "instructors": [ "Florence Honore", "Jun Goh", "Mahka Moeen", "Russ Coff" ], "a": 84, "ab": 96, "b": 34, "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": 215, "source_aliases": [ "MHR 723" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 723", "course_uid": "course_ac74693b044f2553161a1539", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Florence Honore", "JINGYA YOU", "Mahka Moeen", "YANFU FANG" ], "a": 102, "ab": 59, "b": 11, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 174, "source_aliases": [ "MHR 723" ] } ] ``` ### statistics #### gpa 3.66 #### graded 3669 #### counts * 1719 * 1451 * 461 * 30 * 7 * 1 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_ac74693b044f2553161a1539-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_ac74693b044f2553161a1539-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_ac74693b044f2553161a1539-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_ac74693b044f2553161a1539-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_ac74693b044f2553161a1539-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_ac74693b044f2553161a1539-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_ac74693b044f2553161a1539-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_ac74693b044f2553161a1539-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.6597165440174435 #### count 3669 #### university ##### size 5510 ##### gpa Percentile 42 ##### count Percentile 96 ##### median Count 226 ##### 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 | 16 | false | | 2.8–3.2 | 380 | false | | 3.2–3.6 | 1539 | false | | 3.6–4.0 | 3575 | true | #### departments ```json [ { "subject": "MHR", "comparison": { "size": 53, "gpaPercentile": 29, "countPercentile": 94, "medianCount": 312, "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": 42, "current": true } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.8093525179856114 ##### count 139 ##### university ###### size 723 ###### gpa Percentile 87 ###### count Percentile 78 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 62 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 306 | false | | 3.6–4.0 | 180 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 11, "gpaPercentile": 70, "countPercentile": 90, "medianCount": 44, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1074 ##### term 1074 ##### gpa 3.55 ##### count 40 ##### university ###### size 695 ###### gpa Percentile 68 ###### count Percentile 19 ###### 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 | 3 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | true | | 3.6–4.0 | 199 | false | ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1082 ##### term 1082 ##### gpa 3.830188679245283 ##### count 159 ##### university ###### size 723 ###### gpa Percentile 86 ###### count Percentile 81 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 51 | false | | 2.8–3.2 | 202 | false | | 3.2–3.6 | 265 | false | | 3.6–4.0 | 204 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 11, "gpaPercentile": 90, "countPercentile": 90, "medianCount": 50, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 3.704225352112676 ##### count 71 ##### university ###### size 720 ###### gpa Percentile 78 ###### count Percentile 51 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 248 | false | | 3.6–4.0 | 217 | true | ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1092 ##### term 1092 ##### gpa 3.8679245283018866 ##### count 106 ##### university ###### size 732 ###### gpa Percentile 88 ###### count Percentile 67 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 41 | false | | 2.8–3.2 | 208 | false | | 3.2–3.6 | 271 | false | | 3.6–4.0 | 211 | true | ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1094 ##### term 1094 ##### gpa 3.7721518987341773 ##### count 79 ##### university ###### size 758 ###### gpa Percentile 81 ###### count Percentile 56 ###### median Count 71 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 35 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | false | | 3.6–4.0 | 236 | true | ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1102 ##### term 1102 ##### gpa 4 ##### count 125 ##### university ###### size 774 ###### gpa Percentile 97 ###### count Percentile 75 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | true | ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1104 ##### term 1104 ##### gpa 3.738095238095238 ##### count 84 ##### university ###### size 793 ###### gpa Percentile 79 ###### count Percentile 62 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | false | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | true | ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1112 ##### term 1112 ##### gpa 3.6638888888888888 ##### count 180 ##### university ###### size 805 ###### gpa Percentile 76 ###### count Percentile 86 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | true | ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1114 ##### term 1114 ##### gpa 3.85 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1122 ##### term 1122 ##### gpa 3.6588235294117646 ##### count 170 ##### university ###### size 804 ###### gpa Percentile 75 ###### count Percentile 84 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 11, "gpaPercentile": 60, "countPercentile": 90, "medianCount": 43, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.6122448979591835 ##### count 147 ##### university ###### size 851 ###### gpa Percentile 69 ###### count Percentile 82 ###### 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 | false | | 3.6–4.0 | 272 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 14, "gpaPercentile": 54, "countPercentile": 92, "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": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 3.5372340425531914 ##### count 94 ##### university ###### size 852 ###### gpa Percentile 61 ###### count Percentile 69 ###### 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": 31, "countPercentile": 81, "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 3.68125 ##### count 80 ##### university ###### size 853 ###### gpa Percentile 74 ###### count Percentile 60 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 18, "gpaPercentile": 53, "countPercentile": 71, "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": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.4871794871794872 ##### count 117 ##### university ###### size 878 ###### gpa Percentile 58 ###### count Percentile 76 ###### 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": 33, "countPercentile": 87, "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 3.7160493827160495 ##### count 81 ##### university ###### size 918 ###### gpa Percentile 78 ###### count Percentile 59 ###### 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": 47, "countPercentile": 65, "medianCount": 62.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 3.4875 ##### count 120 ##### university ###### size 935 ###### gpa Percentile 54 ###### count Percentile 77 ###### 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 | true | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 15, "gpaPercentile": 14, "countPercentile": 86, "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": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.8258426966292136 ##### count 89 ##### university ###### size 954 ###### gpa Percentile 84 ###### count Percentile 66 ###### 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": 47, "countPercentile": 71, "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 3.524793388429752 ##### count 121 ##### university ###### size 965 ###### gpa Percentile 53 ###### count Percentile 77 ###### 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 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 16, "gpaPercentile": 13, "countPercentile": 87, "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": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.739130434782609 ##### count 92 ##### university ###### size 991 ###### gpa Percentile 72 ###### count Percentile 67 ###### 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": 50, "countPercentile": 75, "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 3.4958677685950414 ##### count 121 ##### university ###### size 955 ###### gpa Percentile 52 ###### count Percentile 76 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | true | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 18, "gpaPercentile": 41, "countPercentile": 82, "medianCount": 42.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.6030927835051547 ##### count 97 ##### university ###### size 1025 ###### gpa Percentile 60 ###### count Percentile 67 ###### 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": 24, "countPercentile": 76, "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 3.5 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1192 ##### term 1192 ##### gpa 3.590909090909091 ##### count 88 ##### university ###### size 1077 ###### gpa Percentile 54 ###### count Percentile 63 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | true | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 18, "gpaPercentile": 35, "countPercentile": 82, "medianCount": 59.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.735294117647059 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1202 ##### term 1202 ##### gpa 3.635869565217391 ##### count 92 ##### university ###### size 1102 ###### gpa Percentile 58 ###### count Percentile 63 ###### 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": 41, "countPercentile": 76, "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 3.772727272727273 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | MHR | | #### 1212 ##### term 1212 ##### gpa 3.7048192771084336 ##### count 83 ##### university ###### size 1111 ###### gpa Percentile 57 ###### count Percentile 57 ###### 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": 38, "countPercentile": 63, "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 3.513888888888889 ##### count 36 ##### university ###### size 1157 ###### gpa Percentile 39 ###### count Percentile 14 ###### 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 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 18, "gpaPercentile": 12, "countPercentile": 6, "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": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.54375 ##### count 160 ##### university ###### size 1171 ###### gpa Percentile 43 ###### count Percentile 84 ###### 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 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 17, "gpaPercentile": 50, "countPercentile": 88, "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": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.686046511627907 ##### count 43 ##### university ###### size 1216 ###### gpa Percentile 56 ###### count Percentile 27 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": 38, "countPercentile": 38, "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 3.5738916256157633 ##### count 203 ##### university ###### size 1188 ###### gpa Percentile 43 ###### count Percentile 88 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 15, "gpaPercentile": 21, "countPercentile": 93, "medianCount": 67, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.551813471502591 ##### count 193 ##### university ###### size 1241 ###### gpa Percentile 38 ###### count Percentile 88 ###### 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 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 20, "gpaPercentile": 32, "countPercentile": 89, "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": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.6116279069767443 ##### count 215 ##### university ###### size 1289 ###### gpa Percentile 42 ###### count Percentile 89 ###### 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": 27, "countPercentile": 87, "medianCount": 62, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.7471264367816093 ##### count 174 ##### university ###### size 1283 ###### gpa Percentile 56 ###### count Percentile 84 ###### 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": 43, "countPercentile": 86, "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 5510 ###### gpa 3.663825610942983 ###### top Share 82.10770643589863 ###### count 226 ##### MHR ###### size 53 ###### gpa 3.721415660892253 ###### top Share 86.28894798185088 ###### count 312 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### MHR ###### size 11 ###### gpa 3.5392364080620093 ###### top Share 74.44275053120985 ###### count 44 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### MHR ###### size 11 ###### gpa 3.517809285294153 ###### top Share 75.2644763982788 ###### count 50 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### MHR ###### size 13 ###### gpa 3.5567160381300646 ###### top Share 75.38604550043905 ###### count 59 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### MHR ###### size 11 ###### gpa 3.5125966263982815 ###### top Share 76.270530690563 ###### count 43 ##### 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 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###### size 16 ###### gpa 3.7279133352533855 ###### top Share 87.84863926346938 ###### count 62 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### MHR ###### size 15 ###### gpa 3.6881617401515574 ###### top Share 85.59922155991862 ###### count 68 ## instructor Trends ```json [ { "uid": "instructor_0dad4d08b8a07bf923025abe", "name": "HART POSEN", "count": 1138, "terms": [ { "term": "1134", "count": 94, "sections": 2, "gpa": 3.5372340425531914 }, { "term": "1144", "count": 117, "sections": 3, "gpa": 3.4871794871794872 }, { "term": "1154", "count": 120, "sections": 3, "gpa": 3.4875 }, { "term": "1164", "count": 121, "sections": 3, "gpa": 3.524793388429752 }, { "term": "1174", "count": 121, "sections": 3, "gpa": 3.4958677685950414 }, { "term": "1182", "count": 57, "sections": 1, "gpa": 3.5 }, { "term": "1192", "count": 53, "sections": 1, "gpa": 3.481132075471698 }, { "term": "1202", "count": 41, "sections": 1, 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3.8679245283018866 }, { "term": "1102", "count": 125, "sections": 2, "gpa": 4 } ] }, { "uid": "instructor_0766aceb941eecdaf4f52581", "name": "FLORENCE HONORE", "count": 230, "terms": [ { "term": "1184", "count": 11, "sections": 1, "gpa": 3.5 }, { "term": "1194", "count": 17, "sections": 1, "gpa": 3.735294117647059 }, { "term": "1204", "count": 22, "sections": 1, "gpa": 3.772727272727273 }, { "term": "1224", "count": 23, "sections": 1, "gpa": 3.5 }, { "term": "1234", "count": 30, "sections": 1, "gpa": 3.6333333333333333 }, { "term": "1244", "count": 30, "sections": 1, "gpa": 3.3666666666666667 }, { "term": "1254", "count": 26, "sections": 1, "gpa": 3.5 }, { "term": "1264", "count": 71, "sections": 2, "gpa": 3.6338028169014085 } ] }, { "uid": "instructor_9c9202b9865517ff0dfa4195", "name": "CYNTHIA E DEVERS", "count": 225, "terms": [ { "term": "1072", "count": 108, "sections": 3, "gpa": 3.8425925925925926 }, { "term": "1082", "count": 117, "sections": 2, "gpa": 3.799145299145299 } ] }, { "uid": "instructor_160c1c94f1a1d776a8a13c05", "name": "ANN TERLAAK", "count": 109, "terms": [ { "term": "1074", "count": 40, "sections": 1, "gpa": 3.55 }, { "term": "1094", "count": 24, "sections": 1, "gpa": 3.4791666666666665 }, { "term": "1104", "count": 25, "sections": 1, "gpa": 3.64 }, { "term": "1114", "count": 20, "sections": 1, "gpa": 3.85 } ] }, { "uid": "instructor_f826bcb400636de4ed39d2e1", "name": "JUN GOH", "count": 56, "terms": [ { "term": "1234", "count": 30, "sections": 1, "gpa": 3.6333333333333333 }, { "term": "1254", "count": 26, "sections": 1, "gpa": 3.5 } ] }, { "uid": "instructor_20107e0dabaec7ff1c918089", "name": "YANFU FANG", "count": 6, "terms": [ { "term": "1264", "count": 6, "sections": 1, "gpa": 3.6666666666666665 } ] }, { "uid": "instructor_649e89090a54e46cac3ac425", "name": "JINGYA YOU", "count": 6, "terms": [ { "term": "1264", "count": 6, "sections": 1, "gpa": 3.6666666666666665 } ] } ] ``` ## following | code | title | | ------- | --------------------------------------------------- | | MHR 724 | GROWTH STRATEGIES: MULTI BUSINESS AND GLOBAL ARENAS | ## projection ### target 1272 ### interval #### lower 3.48 #### upper 3.8 #### coverage 80 #### terms 8 ### gpa 3.640079045682117 ### grades | grade | percentage | | ----- | ------------------- | | A | 45.40290478341028 | | AB | 38.367947429089675 | | B | 15.37321537586998 | | BC | 0.5539169637732554 | | C | 0.30201544785681006 | | D | 0 | | F | 0 | ### source Terms * 1264 * 1254 * 1244 * 1234 * 1232 * 1224 ### source Count 988 ### same Season false ### historical Range * 3.54375 * 3.747126436781609 ### backtest #### terms 8 #### gpa Error 0.09013198259017596 #### mix Error 13.557743068725314