# MHR 706: Leading and Working in Teams | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MHR_706) ## 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 0567d3991433b7eff31f559c0a6ca5b3c68cc4ea6c9dc4689a7d48cd9bf0c91d ### course id MHR 706 ### course uid course\_a17cb16823d2b3aa06105365 ### catalog version id a5b65bedcc5222e9776d7cf49d9cdf8cdd37610d82766af5cf0ea806f19f9071 ### course number 706 ### subjects * MHR ### title LEADING AND WORKING IN TEAMS ### description Examines team dynamics, highlights key factors that influence team effectiveness, develops skills in diagnosing opportunities and threats that face teams, and enhances teamwork expertise. The content is applicable to projects across specializations. For instance, teamwork skills are essential to project teams developing new products/services, working on business strategy, implementing process improvements, designing new financial investment instruments, and developing real estate. In any of these projects, employees would work as a team to accomplish their goals. The team's success or failure will depend, to a large extent, on how the team members work together. ### requirements text Declared in a Master of Business Administration degree program ### credits min 1 ### credits max 1 ### credit offering ids * 1272:236:023921 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 66750cc0eb1ffb4ac247f7afcaeec5da4793cf5ff74317b0941fa0be98acf1df ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Examines team dynamics and effectiveness factors to develop skills in diagnosing team issues and enhancing teamwork expertise. ### llm topics * Team dynamics * Factors influencing team effectiveness * Team opportunities and threats ### llm skills * Diagnosing team opportunities and threats * Enhancing teamwork expertise ### llm assumed background None recorded. ### llm search phrases * team dynamics effectiveness * teamwork skills diagnosis * MBA team projects * collaborative problem solving ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash c45c48e6b4398e76b0cd43d4e7d43cdeaeeb0e6d5711aa66a88405ddb8315b91 #### course id MHR 706 #### current instructors ```json [ { "instructor_uid": "instructor_031f15cb7e377ea652ae0e00", "message": "No course-specific reviews available", "name": "Nancy Geenen", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "MHR 706", "run_id": "20260907T155543-ce3781c4", "section_number": 20, "source_course_id": "8f64ef61-083a-3ebb-aa44-ad8343bc397f", "source_record": { "entity_id": "8f64ef61-083a-3ebb-aa44-ad8343bc397f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MHR 706", "run_id": "20260907T155543-ce3781c4", "section_number": 21, "source_course_id": "8f64ef61-083a-3ebb-aa44-ad8343bc397f", "source_record": { "entity_id": "8f64ef61-083a-3ebb-aa44-ad8343bc397f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.96 GPA, 100.0% A/AB (n=78 letter grades)." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Fall 2023: 3.99 GPA, 98.6% A/AB (n=71 letter grades); Fall 2024: 4.00 GPA, 100.0% A/AB (n=85 letter grades); Fall 2025: 3.96 GPA, 100.0% A/AB (n=78 letter grades). ```json { "citations": [ { "course_id": "MHR 706", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8f64ef61-083a-3ebb-aa44-ad8343bc397f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "MHR 706", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8f64ef61-083a-3ebb-aa44-ad8343bc397f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "MHR 706", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8f64ef61-083a-3ebb-aa44-ad8343bc397f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history NANCY GEENEN is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "MHR 706", "run_id": "20260907T155543-ce3781c4", "section_number": 20, "source_course_id": "8f64ef61-083a-3ebb-aa44-ad8343bc397f", "source_record": { "entity_id": "8f64ef61-083a-3ebb-aa44-ad8343bc397f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "MHR 706", "run_id": "20260907T155543-ce3781c4", "section_number": 21, "source_course_id": "8f64ef61-083a-3ebb-aa44-ad8343bc397f", "source_record": { "entity_id": "8f64ef61-083a-3ebb-aa44-ad8343bc397f", "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": "Declared in a Master of Business Administration degree program", "course": null, "evidence": "Declared in a Master of Business Administration degree program", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------------ | ----------------- | -------------------------------- | -------------------------------- | -------------------------- | | instructor\_031f15cb7e377ea652ae0e00 | enrollment | ngeenen | netid | source\_identified | Nancy Geenen | NGEENEN\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/NANCY\_GEENEN | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", 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"source_identified", "name": "RICK MAROLT", "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": 11, "quality": 2.73, "difficulty": 3, "quality_count": 11, "difficulty_count": 11, "profile_id": "rmp:2142217", "source_url": "https://www.ratemyprofessors.com/professor/2142217", "match_basis": "exact_name", "observed_at": "2026-09-07 16:09:53.968460+00:00", "courses": { "course_c4daa7a544a44fc041c25e3f": { "review_count": 1, "quality": 4, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_15d8c97976892a784484ef21": { "review_count": 3, "quality": 2.33, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 }, "course_603c6927e30b4643e964b920": { "review_count": 1, "quality": 1, "difficulty": 1, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.329797279707481, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { 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"review_count": 5, "quality": 2, "difficulty": 2.2, "quality_count": 5, "difficulty_count": 5 }, "course_14a41b30ce6bcda6f20db014": { "review_count": 1, "quality": 4, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_b8f194908306b96c078f2f27": { "review_count": 6, "quality": 3.67, "difficulty": 3.33, "quality_count": 6, "difficulty_count": 6 }, "course_c4daa7a544a44fc041c25e3f": { "review_count": 174, "quality": 2.29, "difficulty": 3.85, "quality_count": 174, "difficulty_count": 174 }, "course_beeb481f1613a9c9380e53b0": { "review_count": 1, "quality": 3, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 2.709820603375705, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.156, "graded": 11984, "counts": [ 4590, 1071, 3633, 631, 1461, 318, 280 ], "sections": 170 }, "instructor_url": "/instructors/LOREN_KUZUHARA--instructor_d38562685927c667b0ad83fe" }, { "instructor_uid": "instructor_4d646fa8e3690e68567210a1", "source": "madgrades", "source_instructor_id": "6375360", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALEXIS AVERY", "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": 3.995, "graded": 98, "counts": [ 97, 1, 0, 0, 0, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/ALEXIS_AVERY" }, { "instructor_uid": "instructor_86bac0b71cc0afe815e88bea", "source": "madgrades", "source_instructor_id": "4395565", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LAURA LANG", "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": 3.978, "graded": 252, "counts": [ 243, 7, 2, 0, 0, 0, 0 ], "sections": 14 }, "instructor_url": "/instructors/LAURA_LANG" }, { "instructor_uid": "instructor_658dbe2f51b2f3160c40eafb", "source": "madgrades", "source_instructor_id": "6803757", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NANCY GEENEN", "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": 3.955, "graded": 78, "counts": [ 71, 7, 0, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/NANCY_GEENEN--instructor_658dbe2f51b2f3160c40eafb" }, { "instructor_uid": "instructor_031f15cb7e377ea652ae0e00", "source": "enrollment", "source_instructor_id": "ngeenen", "identity_basis": "netid", "identity_status": "source_identified", "name": "Nancy Geenen", "email": "NGEENEN@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/NANCY_GEENEN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", 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"20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 706", "course_uid": "course_a17cb16823d2b3aa06105365", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "MARY TRIANA" ], "a": 47, "ab": 45, "b": 7, "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": 99, "source_aliases": [ "MHR 706" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 706", "course_uid": "course_a17cb16823d2b3aa06105365", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "RICK MAROLT" ], "a": 19, "ab": 72, "b": 12, "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": 104, "source_aliases": [ "MHR 706" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 706", "course_uid": "course_a17cb16823d2b3aa06105365", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "RICK MAROLT" ], "a": 11, "ab": 55, "b": 10, "bc": 3, "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 706" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 706", "course_uid": "course_a17cb16823d2b3aa06105365", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Loren Kuzuhara" ], "a": 66, "ab": 0, "b": 1, "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": 67, "source_aliases": [ "MHR 706" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 706", "course_uid": "course_a17cb16823d2b3aa06105365", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Loren Kuzuhara" ], "a": 95, "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": 95, "source_aliases": [ "MHR 706" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 706", "course_uid": "course_a17cb16823d2b3aa06105365", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "ALEXIS AVERY", "Loren Kuzuhara" ], "a": 81, "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": 82, "source_aliases": [ "MHR 706" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 706", "course_uid": "course_a17cb16823d2b3aa06105365", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Loren Kuzuhara" ], "a": 69, "ab": 2, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 71, "source_aliases": [ "MHR 706" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 706", "course_uid": "course_a17cb16823d2b3aa06105365", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "LAURA LANG" ], "a": 70, "ab": 0, "b": 1, "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 706" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 706", "course_uid": "course_a17cb16823d2b3aa06105365", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "LAURA LANG" ], "a": 85, "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": 85, "source_aliases": [ "MHR 706" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MHR 706", "course_uid": "course_a17cb16823d2b3aa06105365", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Nancy Geenen" ], "a": 71, "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": 78, "source_aliases": [ "MHR 706" ] } ] ``` ### statistics #### gpa 3.814 #### graded 1032 #### counts * 704 * 277 * 47 * 4 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_a17cb16823d2b3aa06105365-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_a17cb16823d2b3aa06105365-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_a17cb16823d2b3aa06105365-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_a17cb16823d2b3aa06105365-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_a17cb16823d2b3aa06105365-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_a17cb16823d2b3aa06105365-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_a17cb16823d2b3aa06105365-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_a17cb16823d2b3aa06105365-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.814437984496124 #### count 1032 #### university ##### size 3718 ##### gpa Percentile 62 ##### count Percentile 89 ##### median Count 162 ##### 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 | 7 | false | | 2.8–3.2 | 266 | false | | 3.2–3.6 | 1000 | false | | 3.6–4.0 | 2444 | true | #### departments ```json [ { "subject": "MHR", "comparison": { "size": 39, "gpaPercentile": 66, "countPercentile": 89, "medianCount": 247, "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": 33, "current": true } ] } } ] ``` ### terms #### 1142 ##### term 1142 ##### gpa 3.707920792079208 ##### count 101 ##### university ###### size 853 ###### gpa Percentile 76 ###### count Percentile 70 ###### 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": 65, "countPercentile": 82, "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 } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.66 ##### count 100 ##### university ###### size 918 ###### gpa Percentile 74 ###### count Percentile 69 ###### 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": 41, "countPercentile": 82, "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 } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.702020202020202 ##### count 99 ##### university ###### size 954 ###### gpa Percentile 73 ###### count Percentile 69 ###### 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": 41, "countPercentile": 76, "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 } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.5240384615384617 ##### count 104 ##### university ###### size 1025 ###### gpa Percentile 52 ###### count Percentile 69 ###### 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 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 18, "gpaPercentile": 18, "countPercentile": 82, "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": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.4683544303797467 ##### count 79 ##### university ###### size 1077 ###### gpa Percentile 43 ###### count Percentile 57 ###### 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": 12, "countPercentile": 71, "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 } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.985074626865672 ##### count 67 ##### university ###### size 1102 ###### gpa Percentile 95 ###### count Percentile 49 ###### 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": 100, "countPercentile": 53, "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 } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 4 ##### count 95 ##### university ###### size 1111 ###### gpa Percentile 96 ###### count Percentile 64 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 17, "gpaPercentile": 88, "countPercentile": 69, "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 3.9939024390243905 ##### count 82 ##### university ###### size 1157 ###### gpa Percentile 97 ###### count Percentile 58 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 18, "gpaPercentile": 100, "countPercentile": 76, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.9859154929577465 ##### count 71 ##### university ###### size 1216 ###### gpa Percentile 94 ###### count Percentile 52 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 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": 94, "countPercentile": 56, "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 } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.9859154929577465 ##### count 71 ##### university ###### size 1295 ###### gpa Percentile 95 ###### count Percentile 52 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 16, "gpaPercentile": 73, "countPercentile": 53, "medianCount": 70.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 12, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 4 ##### count 85 ##### university ###### size 1333 ###### gpa Percentile 96 ###### count Percentile 59 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "MHR", "comparison": { "size": 16, "gpaPercentile": 93, "countPercentile": 67, "medianCount": 70.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.9551282051282053 ##### count 78 ##### university ###### size 1320 ###### gpa Percentile 88 ###### count Percentile 53 ###### 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": 92, "countPercentile": 42, "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 } ] } } ] ``` ### benchmarks #### all ##### school ###### size 3718 ###### gpa 3.669695549184269 ###### top Share 82.57107550846084 ###### count 162 ##### MHR ###### size 39 ###### gpa 3.734627640789522 ###### top Share 86.58885639976764 ###### count 247 #### terms ##### 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 ##### 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 ##### 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 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### MHR ###### size 18 ###### gpa 3.702851932021947 ###### top Share 85.22170645882483 ###### count 58.5 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### MHR ###### size 18 ###### gpa 3.6841657970460893 ###### top Share 84.0540280875532 ###### count 59.5 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### MHR ###### size 18 ###### gpa 3.666943327078702 ###### top Share 81.94161491052517 ###### count 62 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### MHR ###### size 17 ###### gpa 3.751702169099354 ###### top Share 87.40270284024918 ###### count 74 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### MHR ###### size 18 ###### gpa 3.7293251973268005 ###### top Share 86.6701542684276 ###### count 55 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### MHR ###### size 17 ###### gpa 3.73414471707026 ###### top Share 85.93837573751262 ###### count 51 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### MHR ###### size 16 ###### gpa 3.7676257097531796 ###### top Share 86.69063643186792 ###### count 70.5 ##### 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 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### MHR ###### size 13 ###### gpa 3.678868495781192 ###### top Share 83.61428669917755 ###### count 79 ## instructor Trends ```json [ { "uid": "instructor_d38562685927c667b0ad83fe", "name": "LOREN KUZUHARA", "count": 315, "terms": [ { "term": "1202", "count": 67, "sections": 2, "gpa": 3.985074626865672 }, { "term": "1212", "count": 95, "sections": 3, "gpa": 4 }, { "term": "1222", "count": 82, "sections": 3, "gpa": 3.9939024390243905 }, { "term": "1232", "count": 71, "sections": 2, "gpa": 3.9859154929577465 } ] }, { "uid": "instructor_dc36e6f30641c148d43e31f6", "name": "MARY TRIANA", "count": 300, "terms": [ { "term": "1142", "count": 101, "sections": 2, "gpa": 3.707920792079208 }, { "term": "1152", "count": 100, "sections": 2, "gpa": 3.66 }, { "term": "1162", "count": 99, "sections": 2, "gpa": 3.702020202020202 } ] }, { "uid": "instructor_89caae4e471bca0ce3f5107c", "name": "RICK MAROLT", "count": 183, "terms": [ { "term": "1182", "count": 104, "sections": 2, "gpa": 3.5240384615384617 }, { "term": "1192", "count": 79, "sections": 2, "gpa": 3.4683544303797467 } ] }, { "uid": "instructor_86bac0b71cc0afe815e88bea", "name": "LAURA LANG", "count": 156, "terms": [ { "term": "1242", "count": 71, "sections": 2, "gpa": 3.9859154929577465 }, { "term": "1252", "count": 85, "sections": 2, "gpa": 4 } ] }, { "uid": "instructor_658dbe2f51b2f3160c40eafb", "name": "NANCY GEENEN", "count": 78, "terms": [ { "term": "1262", "count": 78, "sections": 2, "gpa": 3.9551282051282053 } ] }, { "uid": "instructor_4d646fa8e3690e68567210a1", "name": "ALEXIS AVERY", "count": 46, "terms": [ { "term": "1222", "count": 46, "sections": 1, "gpa": 4 } ] } ] ``` ## following | code | title | | ---------- | -------------------- | | GENBUS 725 | CONSULTING PRACTICUM | ## projection ### target 1272 ### interval #### lower 3.56 #### upper 4 #### coverage 80 #### terms 8 ### gpa 3.9810820121489523 ### grades | grade | percentage | | ----- | ------------------ | | A | 96.48455106457878 | | AB | 3.247300300632938 | | B | 0.2681486347882631 | | BC | 0 | | C | 0 | | D | 0 | | F | 0 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 387 ### same Season true ### historical Range * 3.9551282051282053 * 4 ### backtest #### terms 8 #### gpa Error 0.16492042182660893 #### mix Error 27.22144872197981