# POLISCI/PUBAFFR/URBRPL 878: Public Management | UW–Madison [View on UW Courses](https://uwcourses.com/courses/POLISCI_PUBAFFR_URBRPL_878) ## 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 9b850aa525be088cda09fc71ec3c49a497d3b82ecbf0317abfa868a151a01464 ### course id POLISCI/PUBAFFR/URBRPL 878 ### course uid course\_3ccd054e056398641a02cb43 ### catalog version id a287d1d14201a0ed915bc0f99d670404f24437d36c440ca1a3e718168e1a45e9 ### course number 878 ### subjects * POLISCI * PUBAFFR * URBRPL ### title PUBLIC MANAGEMENT ### description Role of administration in American government; problems of organization, bureaucracy and control; public policy as the output of the administrative process. ### requirements text Graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id dfea9175266cc5a6d0e71a3b06b787c526c501646e76c506bd45d017cc1fe580 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary PUBLIC MANAGEMENT examines the role of administration in American government, focusing on organizational problems, bureaucracy, and public policy outputs. ### llm topics * Administration in American government * Organization, bureaucracy, and control * Public policy as administrative output ### llm skills * Analyze organizational and bureaucratic control problems in government * Understand public policy formation through administrative processes ### llm assumed background None recorded. ### llm search phrases * public administration * bureaucracy control * public policy process * government organization ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 7bbd85176409869ae4be92e4605b01ba1b27596d4976f03e9b8fc113f52b24bb #### course id POLISCI/PUBAFFR/URBRPL 878 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.84 GPA, 100.0% A/AB (n=32 letter grades); Spring 2025: 3.86 GPA, 100.0% A/AB (n=35 letter grades); Spring 2026: 3.94 GPA, 100.0% A/AB (n=32 letter grades). ```json { "citations": [ { "course_id": "POLISCI/PUBAFFR/URBRPL 878", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "5e0e916c-37ac-356e-a2f0-cd71ad285a84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "POLISCI/PUBAFFR/URBRPL 878", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "5e0e916c-37ac-356e-a2f0-cd71ad285a84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "POLISCI/PUBAFFR/URBRPL 878", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "5e0e916c-37ac-356e-a2f0-cd71ad285a84", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "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_045441ae8062d43e3cced785", "source": "madgrades", "source_instructor_id": "2601461", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DENNIS L. 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"identity_status": "source_identified", "name": "ROBYN ROWE", "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": 3.985, "graded": 68, "counts": [ 66, 2, 0, 0, 0, 0, 0 ], "sections": 5 }, "instructor_url": "/instructors/ROBYN_ROWE--instructor_c0a61ebc478c0c7e040a4523" }, { "instructor_uid": "instructor_982fe1d40ceed1055d5540b0", "source": "madgrades", "source_instructor_id": "6300697", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAVID EHRLICH", "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": 3, "quality": 3, "difficulty": 4, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2844757", "source_url": "https://www.ratemyprofessors.com/professor/2844757", "match_basis": "exact_name", "observed_at": "2026-09-07 16:45:09.890709+00:00", "courses": {}, "bayesian_quality": 3.5736398117796484, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.902, "graded": 46, "counts": [ 37, 9, 0, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/DAVID_EHRLICH--instructor_982fe1d40ceed1055d5540b0" }, { "instructor_uid": "instructor_7194bb9616811234a8294fb7", "source": "madgrades", "source_instructor_id": "1610142", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TANA JOHNSON", "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": 4, "quality": 5, "difficulty": 2.75, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:2842721", "source_url": "https://www.ratemyprofessors.com/professor/2842721", "match_basis": "exact_name", "observed_at": "2026-09-07 16:02:45.051319+00:00", "courses": {}, "bayesian_quality": 3.8830714862888294, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.847, "graded": 330, "counts": [ 254, 65, 7, 2, 0, 0, 2 ], "sections": 21 }, "instructor_url": "/instructors/TANA_JOHNSON--instructor_7194bb9616811234a8294fb7" }, { "instructor_uid": "instructor_492b36b0bf8244b44a68452b", "source": "madgrades", "source_instructor_id": "6587094", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BENOY JACOB", "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": 3.923, "graded": 52, "counts": [ 45, 6, 1, 0, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/BENOY_JACOB--instructor_492b36b0bf8244b44a68452b" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 878", "course_uid": "course_3ccd054e056398641a02cb43", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "DENNIS L. 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24, "b": 1, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 49, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 878" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 878", "course_uid": "course_3ccd054e056398641a02cb43", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "DONALD MOYNIHAN" ], "a": 19, "ab": 11, "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": 31, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 878" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 878", "course_uid": "course_3ccd054e056398641a02cb43", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "DONALD MOYNIHAN" ], "a": 21, "ab": 13, "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": 35, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 878" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 878", "course_uid": "course_3ccd054e056398641a02cb43", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "DONALD MOYNIHAN" ], "a": 13, "ab": 25, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 39, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 878" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 878", "course_uid": "course_3ccd054e056398641a02cb43", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "DONALD MOYNIHAN", "Susan Yackee" ], "a": 20, "ab": 27, "b": 0, "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": 48, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 878" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 878", "course_uid": "course_3ccd054e056398641a02cb43", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "ROBYN ROWE" ], "a": 27, "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": 28, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 878" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 878", "course_uid": "course_3ccd054e056398641a02cb43", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "David Ehrlich" ], "a": 37, "ab": 9, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 3, "no_work": 0, "not_reported": 0, "other": 0, "total": 49, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 878" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 878", "course_uid": "course_3ccd054e056398641a02cb43", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "TANA JOHNSON" ], "a": 34, "ab": 9, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 878" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 878", "course_uid": "course_3ccd054e056398641a02cb43", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "TANA JOHNSON" ], "a": 14, "ab": 16, "b": 4, "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": 35, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 878" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 878", "course_uid": "course_3ccd054e056398641a02cb43", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "TANA JOHNSON" ], "a": 22, "ab": 10, "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": 32, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 878" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 878", "course_uid": "course_3ccd054e056398641a02cb43", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "TANA JOHNSON" ], "a": 25, "ab": 10, "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": 35, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 878" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 878", "course_uid": "course_3ccd054e056398641a02cb43", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Benoy Jacob", "TANA JOHNSON" ], "a": 28, "ab": 4, "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": 32, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 878" ] } ] ``` ### statistics #### gpa 3.759 #### graded 694 #### counts * 397 * 265 * 27 * 5 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_3ccd054e056398641a02cb43-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_3ccd054e056398641a02cb43-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_3ccd054e056398641a02cb43-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_3ccd054e056398641a02cb43-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_3ccd054e056398641a02cb43-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_3ccd054e056398641a02cb43-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7593659942363113 #### count 694 #### university ##### size 4917 ##### gpa Percentile 57 ##### count Percentile 84 ##### median Count 165 ##### 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 | 397 | false | | 3.2–3.6 | 1398 | false | | 3.6–4.0 | 3105 | true | #### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 118, "gpaPercentile": 76, "countPercentile": 86, "medianCount": 123, "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": 11, "current": false }, { "range": "3.2–3.6", "count": 49, "current": false }, { "range": "3.6–4.0", "count": 58, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": { "size": 34, "gpaPercentile": 58, "countPercentile": 100, "medianCount": 172.5, "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": 10, "current": false }, { "range": "3.6–4.0", "count": 24, "current": true } ] } }, { "subject": "URBRPL", "comparison": { "size": 44, "gpaPercentile": 49, "countPercentile": 93, "medianCount": 109, "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": 33, "current": true } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.8095238095238093 ##### count 42 ##### university ###### size 695 ###### gpa Percentile 83 ###### count Percentile 22 ###### 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 | false | | 3.6–4.0 | 199 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 8, "medianCount": 98, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1082 ##### term 1082 ##### gpa 3.5 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | | PUBAFFR | | | URBRPL | | #### 1084 ##### term 1084 ##### gpa 3.9166666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | | PUBAFFR | | | URBRPL | | #### 1094 ##### term 1094 ##### gpa 3.7903225806451615 ##### count 31 ##### university ###### size 758 ###### gpa Percentile 82 ###### count Percentile 3 ###### 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 ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 69, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1104 ##### term 1104 ##### gpa 3.65 ##### count 30 ##### university ###### size 793 ###### gpa Percentile 74 ###### count Percentile 0 ###### 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 | | ------- | ---------- | | POLISCI | | | PUBAFFR | | | URBRPL | | #### 1112 ##### term 1112 ##### gpa 3.6184210526315788 ##### count 38 ##### university ###### size 805 ###### gpa Percentile 73 ###### count Percentile 18 ###### 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 ```json [ { "subject": "POLISCI", "comparison": { "size": 13, "gpaPercentile": 100, "countPercentile": 8, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 1, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1122 ##### term 1122 ##### gpa 3.5833333333333335 ##### count 36 ##### university ###### size 804 ###### gpa Percentile 68 ###### count Percentile 11 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 282 | true | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 8, "medianCount": 94.5, "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": 8, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1132 ##### term 1132 ##### gpa 3.608108108108108 ##### count 37 ##### university ###### size 851 ###### gpa Percentile 69 ###### count Percentile 14 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 15, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 70, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1142 ##### term 1142 ##### gpa 3.652173913043478 ##### count 46 ##### university ###### size 853 ###### gpa Percentile 72 ###### count Percentile 30 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 31, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1152 ##### term 1152 ##### gpa 3.7903225806451615 ##### count 31 ##### university ###### size 918 ###### gpa Percentile 83 ###### count Percentile 2 ###### 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": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 0, "medianCount": 72.5, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1162 ##### term 1162 ##### gpa 3.7857142857142856 ##### count 35 ##### university ###### size 954 ###### gpa Percentile 81 ###### count Percentile 10 ###### 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": "POLISCI", "comparison": { "size": 13, "gpaPercentile": 92, "countPercentile": 0, "medianCount": 48, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1172 ##### term 1172 ##### gpa 3.6710526315789473 ##### count 38 ##### university ###### size 991 ###### gpa Percentile 67 ###### count Percentile 17 ###### 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": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 8, "medianCount": 57.5, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1184 ##### term 1184 ##### gpa 3.6875 ##### count 48 ##### university ###### size 1010 ###### gpa Percentile 67 ###### count Percentile 32 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 85, "countPercentile": 26, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1194 ##### term 1194 ##### gpa 3.982142857142857 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | | PUBAFFR | | | URBRPL | | #### 1204 ##### term 1204 ##### gpa 3.902173913043478 ##### count 46 ##### university ###### size 1012 ###### gpa Percentile 75 ###### count Percentile 31 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 29, "gpaPercentile": 93, "countPercentile": 29, "medianCount": 59, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1224 ##### term 1224 ##### gpa 3.895348837209302 ##### count 43 ##### university ###### size 1171 ###### gpa Percentile 81 ###### count Percentile 28 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 93, "countPercentile": 22, "medianCount": 69, "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": 15, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1234 ##### term 1234 ##### gpa 3.6142857142857143 ##### count 35 ##### university ###### size 1188 ###### gpa Percentile 47 ###### count Percentile 11 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 56, "countPercentile": 7, "medianCount": 60.5, "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": 13, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": { "size": 10, "gpaPercentile": 33, "countPercentile": 22, "medianCount": 49, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1244 ##### term 1244 ##### gpa 3.84375 ##### count 32 ##### university ###### size 1241 ###### gpa Percentile 74 ###### count Percentile 4 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 31, "gpaPercentile": 87, "countPercentile": 0, "medianCount": 56, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": { "size": 11, "gpaPercentile": 50, "countPercentile": 0, "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": 0, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1254 ##### term 1254 ##### gpa 3.857142857142857 ##### count 35 ##### university ###### size 1289 ###### gpa Percentile 75 ###### count Percentile 11 ###### 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": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 77, "countPercentile": 0, "medianCount": 55.5, "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": 9, "current": false }, { "range": "3.6–4.0", "count": 23, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1264 ##### term 1264 ##### gpa 3.9375 ##### count 32 ##### university ###### size 1283 ###### gpa Percentile 85 ###### count Percentile 5 ###### 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": "POLISCI", "comparison": { "size": 30, "gpaPercentile": 97, "countPercentile": 0, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` ### benchmarks #### all ##### school ###### size 4917 ###### gpa 3.650908875787759 ###### top Share 81.2511283485979 ###### count 165 ##### POLISCI ###### size 118 ###### gpa 3.5500055210468973 ###### top Share 77.70086204151755 ###### count 123 ##### PUBAFFR ###### size 34 ###### gpa 3.6987235473056375 ###### top Share 86.2030792910732 ###### count 172.5 ##### URBRPL ###### size 44 ###### gpa 3.705045591974452 ###### top Share 85.65692531661779 ###### count 109 #### terms ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### POLISCI ###### size 14 ###### gpa 3.268596258997659 ###### top Share 60.70808904525222 ###### count 98 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### POLISCI ###### size 11 ###### gpa 3.146214959311787 ###### top Share 50.7809183516562 ###### count 102 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### POLISCI ###### size 16 ###### gpa 3.238531506836362 ###### top Share 55.06088203147391 ###### count 72.5 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### POLISCI ###### size 11 ###### gpa 3.1594093862343957 ###### top Share 49.96467915938485 ###### count 95 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### POLISCI ###### size 14 ###### gpa 3.1531610813978714 ###### top Share 49.305472802233474 ###### count 69 ##### 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 ###### POLISCI ###### size 13 ###### gpa 3.1364699536892355 ###### top Share 50.62364583449737 ###### count 80 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### POLISCI ###### size 14 ###### gpa 3.2185323922052858 ###### top Share 55.38573023617504 ###### count 94.5 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### POLISCI ###### size 15 ###### gpa 3.182300079741595 ###### top Share 52.46119703858788 ###### count 70 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### POLISCI ###### size 14 ###### gpa 3.2576110896081407 ###### top Share 56.95368098781108 ###### count 59.5 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### POLISCI ###### size 14 ###### gpa 3.301197196812184 ###### top Share 61.93891738722217 ###### count 72.5 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### POLISCI ###### size 13 ###### gpa 3.372426234221877 ###### top Share 66.25706452537325 ###### count 48 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### POLISCI ###### size 14 ###### gpa 3.3267512689228935 ###### top Share 63.863048828219576 ###### count 57.5 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### POLISCI ###### size 28 ###### gpa 3.419036487558007 ###### top Share 69.50826051414016 ###### count 51 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 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###### top Share 78.29036874847135 ###### count 65 ###### POLISCI ###### size 31 ###### gpa 3.553793736689284 ###### top Share 78.69346146940943 ###### count 56 ###### PUBAFFR ###### size 11 ###### gpa 3.7535051430091726 ###### top Share 89.36312427904964 ###### count 43 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### POLISCI ###### size 32 ###### gpa 3.654521141473103 ###### top Share 83.94942250442324 ###### count 55.5 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### POLISCI ###### size 30 ###### gpa 3.64488187596396 ###### top Share 82.45733464244728 ###### count 63.5 ## instructor Trends ```json [ { "uid": "instructor_0031bfcc05d3d5e74f90a35b", "name": "DONALD MOYNIHAN", "count": 263, "terms": [ { "term": "1104", "count": 13, "sections": 1, "gpa": 3.730769230769231 }, { "term": "1112", "count": 20, "sections": 1, "gpa": 3.675 }, { "term": "1122", "count": 17, "sections": 1, "gpa": 3.6470588235294117 }, { "term": "1132", "count": 37, "sections": 2, "gpa": 3.608108108108108 }, { "term": "1142", "count": 46, "sections": 2, "gpa": 3.652173913043478 }, { "term": "1152", "count": 31, "sections": 2, "gpa": 3.7903225806451615 }, { "term": "1162", "count": 35, "sections": 2, "gpa": 3.7857142857142856 }, { "term": "1172", "count": 38, "sections": 2, "gpa": 3.6710526315789473 }, { "term": "1184", "count": 26, "sections": 1, "gpa": 3.730769230769231 } ] }, { "uid": "instructor_7194bb9616811234a8294fb7", "name": "TANA JOHNSON", "count": 163, "terms": [ { "term": "1224", "count": 43, "sections": 2, "gpa": 3.895348837209302 }, { "term": "1234", "count": 35, "sections": 2, "gpa": 3.6142857142857143 }, { "term": "1244", "count": 32, "sections": 2, "gpa": 3.84375 }, { "term": "1254", "count": 35, "sections": 2, "gpa": 3.857142857142857 }, { "term": "1264", "count": 18, "sections": 1, "gpa": 3.9722222222222223 } ] }, { "uid": "instructor_930be8e1fc7696a4c2b0bf21", "name": "SUSAN W YACKEE", "count": 83, "terms": [ { "term": "1082", "count": 7, "sections": 1, "gpa": 3.5 }, { "term": "1104", "count": 17, "sections": 1, "gpa": 3.588235294117647 }, { "term": "1112", "count": 18, "sections": 1, "gpa": 3.5555555555555554 }, { "term": "1122", "count": 19, "sections": 1, "gpa": 3.526315789473684 }, { "term": "1184", "count": 22, "sections": 1, "gpa": 3.6363636363636362 } ] }, { "uid": "instructor_045441ae8062d43e3cced785", "name": "DENNIS L. DRESANG", "count": 66, "terms": [ { "term": "1074", "count": 42, "sections": 1, "gpa": 3.8095238095238093 }, { "term": "1084", "count": 24, "sections": 1, "gpa": 3.9166666666666665 } ] }, { "uid": "instructor_982fe1d40ceed1055d5540b0", "name": "DAVID EHRLICH", "count": 46, "terms": [ { "term": "1204", "count": 46, "sections": 2, "gpa": 3.902173913043478 } ] }, { "uid": "instructor_958384faa4b32e9498efb211", "name": "PAUL SOGLIN", "count": 31, "terms": [ { "term": "1094", "count": 31, "sections": 1, "gpa": 3.7903225806451615 } ] }, { "uid": "instructor_c0a61ebc478c0c7e040a4523", "name": "ROBYN ROWE", "count": 28, "terms": [ { "term": "1194", "count": 28, "sections": 2, "gpa": 3.982142857142857 } ] }, { "uid": "instructor_492b36b0bf8244b44a68452b", "name": "BENOY JACOB", "count": 14, "terms": [ { "term": "1264", "count": 14, "sections": 1, "gpa": 3.892857142857143 } ] } ] ``` ## following | code | title | | ------------------- | ----------------------------------------------------------------- | | POLISCI/PUBAFFR 885 | ADVANCED PUBLIC MANAGEMENT: CRAFT, CONSTRAINTS AND ACCOUNTABILITY |