# POLISCI/PUBAFFR/URBRPL 874: Policy-making Process | UW–Madison [View on UW Courses](https://uwcourses.com/courses/POLISCI_PUBAFFR_URBRPL_874) ## 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 53b9454da2aa429d6c777502b7e2bf628d547cd6453b79336b37db5a9c21f556 ### course id POLISCI/PUBAFFR/URBRPL 874 ### course uid course\_7a0a39b3669919935853d75c ### catalog version id 17a7e61cf660ad6e1625c137d6db02cae5b609b76e3923740d38afccfbc01a7d ### course number 874 ### subjects * POLISCI * PUBAFFR * URBRPL ### title POLICY-MAKING PROCESS ### description Examines the political, social, and economic contexts that shape and are shaped by policy making processes. Though the focus is on the US, international comparisons will be made, and students are encouraged to think about the American context through comparative and international perspectives. Familiarizes students with dominant theories and models of policymaking process and policy change, starting with the model of the policy cycle. Focuses in on key topics and issues in policy making, specifically, agenda setting, implementation, and the relationships between policymaking and democracy. Reflects on contemporary and emerging issues and dilemmas of the politics of policy making. ### requirements text Graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:778:016079 * 1272:826:016079 * 1272:944:016079 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id f4e390c9754257e7e6b7b04a048894efe44cc2e24a86f780774c19e16fdc2e66 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Examines political, social, and economic contexts of policy making, focusing on agenda setting, implementation, and the policy cycle. ### llm topics * Political, social, and economic contexts of policy making * Theories and models of policymaking and policy change * Agenda setting and implementation * Relationships between policymaking and democracy * Contemporary and emerging issues in the politics of policy making ### llm skills * Understanding theories and models of the policymaking process * Analyzing agenda setting and implementation * Reflecting on contemporary issues in the politics of policy making ### llm assumed background None recorded. ### llm search phrases * policy making process * agenda setting * policy implementation * policy cycle model * politics of policy making ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash f2c555141627292e355d57a3045976bd2e1735f72700939307a53a7ec4ce4536 #### course id POLISCI/PUBAFFR/URBRPL 874 #### current instructors ```json [ { "instructor_uid": "instructor_9e8119533533efe8a277e85e", "message": "No course-specific reviews available", "name": "Michael Powell", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### 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: 3.44 GPA, 68.3% A/AB (n=41 letter grades); Fall 2024: 3.86 GPA, 95.5% A/AB (n=22 letter grades); Fall 2025: 3.65 GPA, 73.5% A/AB (n=34 letter grades). ```json { "citations": [ { "course_id": "POLISCI/PUBAFFR/URBRPL 874", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "dfd3d08f-e9c3-3e0c-977e-64d125d3e1a3", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "POLISCI/PUBAFFR/URBRPL 874", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "dfd3d08f-e9c3-3e0c-977e-64d125d3e1a3", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "POLISCI/PUBAFFR/URBRPL 874", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "dfd3d08f-e9c3-3e0c-977e-64d125d3e1a3", "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 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 | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | -------------- | ------------------ | -------------------------------- | -------------------------------- | ---------------------------- | | instructor\_9e8119533533efe8a277e85e | enrollment | mpowell8 | netid | source\_identified | Michael Powell | MPOWELL8\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/MICHAEL\_POWELL | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:778:016079", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1272", "source_course_id": "016079", "source_subject_id": "778", "title": "Policy-Making Process", "credits_min": 3, "credits_max": 3, "typically_offered": "Occasionally" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:826:016079", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1272", "source_course_id": "016079", "source_subject_id": "826", "title": "Policy-Making Process", "credits_min": 3, "credits_max": 3, "typically_offered": "Occasionally" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:944:016079", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1272", "source_course_id": "016079", "source_subject_id": "944", "title": "Policy-Making Process", "credits_min": 3, "credits_max": 3, "typically_offered": "Occasionally" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:18762", "term_id": "1272", "source_section_id": "18762", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 0, "enrolled": 0, "waitlisted": 2, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:18738", "term_id": "1272", "source_section_id": "18738", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 0, "enrolled": 31, "waitlisted": 6, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:18763", "term_id": "1272", "source_section_id": "18763", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 0, "enrolled": 0, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_fb35e3d3e837fe7a2fa368bd", "source": "madgrades", "source_instructor_id": "2601438", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GRAHAM K WILSON", "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": 3.8, "graded": 50, "counts": [ 32, 16, 2, 0, 0, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/GRAHAM_K_WILSON--instructor_fb35e3d3e837fe7a2fa368bd" }, { "instructor_uid": "instructor_083943546269d29f67c93c6b", "source": "madgrades", "source_instructor_id": "2601391", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOHN WITTE", "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": 15, "quality": 4.13, "difficulty": 3.27, "quality_count": 15, "difficulty_count": 15, "profile_id": "rmp:496647", "source_url": "https://www.ratemyprofessors.com/professor/496647", "match_basis": "exact_name", "observed_at": "2026-09-07 16:30:56.736339+00:00", "courses": {}, "bayesian_quality": 3.861249019169483, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.58, "graded": 205, "counts": [ 83, 82, 32, 6, 2, 0, 0 ], "sections": 31 }, "instructor_url": "/instructors/JOHN_WITTE" }, { "instructor_uid": "instructor_dea519fda78d85afd5478b9e", "source": "madgrades", "source_instructor_id": "1549980", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MEGHAN ROARK CONDON", "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": 3.282, "graded": 39, "counts": [ 8, 13, 12, 5, 1, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/MEGHAN_ROARK_CONDON--instructor_dea519fda78d85afd5478b9e" }, { "instructor_uid": "instructor_aa95e812f94247f0059102fe", "source": "madgrades", "source_instructor_id": "4125725", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAVID EMANUEL NELSON", "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": 3.818, "graded": 425, "counts": [ 309, 92, 17, 3, 3, 0, 1 ], "sections": 18 }, "instructor_url": "/instructors/DAVID_EMANUEL_NELSON" }, { "instructor_uid": "instructor_4f34a299fa6efa4d660d98b9", "source": "madgrades", "source_instructor_id": "4728786", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SIMON HAEDER", "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": 3.446, "graded": 37, "counts": [ 6, 21, 10, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/SIMON_HAEDER--instructor_4f34a299fa6efa4d660d98b9" }, { "instructor_uid": "instructor_930be8e1fc7696a4c2b0bf21", "source": "madgrades", "source_instructor_id": "4382212", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SUSAN W YACKEE", "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": 3.507, "graded": 409, "counts": [ 157, 164, 60, 13, 9, 2, 4 ], "sections": 44 }, "instructor_url": "/instructors/SUSAN_W_YACKEE" }, { "instructor_uid": "instructor_c0a61ebc478c0c7e040a4523", "source": "madgrades", "source_instructor_id": "4584408", "identity_basis": "source_id", "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_31c595183b92bdad65f27726", "source": "madgrades", "source_instructor_id": "6317360", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MANUEL TEODORO", "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": 3.72, "graded": 354, "counts": [ 230, 70, 37, 14, 3, 0, 0 ], "sections": 23 }, "instructor_url": "/instructors/MANUEL_TEODORO" }, { "instructor_uid": "instructor_9e8119533533efe8a277e85e", "source": "enrollment", "source_instructor_id": "mpowell8", "identity_basis": "netid", "identity_status": "source_identified", "name": "Michael Powell", "email": "MPOWELL8@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/MICHAEL_POWELL" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "GRAHAM K WILSON" ], "a": 22, "ab": 15, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 39, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "JOHN WITTE" ], "a": 11, "ab": 6, "b": 4, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 23, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "JOHN WITTE", "MEGHAN ROARK CONDON" ], "a": 8, "ab": 13, "b": 12, "bc": 5, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 39, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "DAVID EMANUEL NELSON", "JOHN WITTE" ], "a": 9, "ab": 25, "b": 7, "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": 42, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "JOHN WITTE" ], "a": 12, "ab": 18, "b": 3, "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": 34, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "SIMON HAEDER", "Susan Yackee" ], "a": 6, "ab": 21, "b": 10, "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": 37, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "Susan Yackee" ], "a": 14, "ab": 19, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 34, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "Susan Yackee" ], "a": 13, "ab": 18, "b": 5, "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": 37, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "DAVID EMANUEL NELSON" ], "a": 26, "ab": 5, "b": 2, "bc": 2, "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 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "DAVID EMANUEL NELSON" ], "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 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "DAVID EMANUEL NELSON" ], "a": 24, "ab": 5, "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": 30, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "DAVID EMANUEL NELSON" ], "a": 34, "ab": 8, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "ROBYN ROWE" ], "a": 34, "ab": 1, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 36, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "DAVID EMANUEL NELSON" ], "a": 25, "ab": 12, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 39, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "DAVID EMANUEL NELSON" ], "a": 24, "ab": 6, "b": 0, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "MANUEL TEODORO" ], "a": 18, "ab": 14, "b": 7, "bc": 4, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 45, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "MANUEL TEODORO" ], "a": 14, "ab": 14, "b": 8, "bc": 2, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 39, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "MANUEL TEODORO" ], "a": 11, "ab": 17, "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": 41, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "MANUEL TEODORO" ], "a": 17, "ab": 4, "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": 22, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI/PUBAFFR/URBRPL 874", "course_uid": "course_7a0a39b3669919935853d75c", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "MANUEL TEODORO" ], "a": 22, "ab": 3, "b": 6, "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": 34, "source_aliases": [ "POLISCI/PUBAFFR/URBRPL 874" ] } ] ``` ### statistics #### gpa 3.662 #### graded 707 #### counts * 366 * 234 * 82 * 20 * 5 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_7a0a39b3669919935853d75c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_7a0a39b3669919935853d75c-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_7a0a39b3669919935853d75c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_7a0a39b3669919935853d75c-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_7a0a39b3669919935853d75c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_7a0a39b3669919935853d75c-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_7a0a39b3669919935853d75c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_7a0a39b3669919935853d75c-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.661951909476662 #### count 707 #### university ##### size 4759 ##### gpa Percentile 45 ##### count Percentile 83 ##### median Count 170 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 13 | false | | 2.8–3.2 | 381 | false | | 3.2–3.6 | 1395 | false | | 3.6–4.0 | 2970 | true | #### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 115, "gpaPercentile": 62, "countPercentile": 84, "medianCount": 122, "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": 55, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": { "size": 36, "gpaPercentile": 40, "countPercentile": 97, "medianCount": 118, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 25, "current": true } ] } }, { "subject": "URBRPL", "comparison": { "size": 38, "gpaPercentile": 30, "countPercentile": 92, "medianCount": 116.5, "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": 8, "current": false }, { "range": "3.6–4.0", "count": 30, "current": true } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.7564102564102564 ##### count 39 ##### university ###### size 723 ###### gpa Percentile 84 ###### count Percentile 19 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 62 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 306 | false | | 3.6–4.0 | 180 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 13, "gpaPercentile": 100, "countPercentile": 8, "medianCount": 88, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 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 } ] ``` #### 1082 ##### term 1082 ##### gpa 3.6136363636363638 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | | PUBAFFR | | | URBRPL | | #### 1092 ##### term 1092 ##### gpa 3.282051282051282 ##### count 39 ##### university ###### size 732 ###### gpa Percentile 41 ###### count Percentile 17 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 41 | false | | 2.8–3.2 | 208 | false | | 3.2–3.6 | 271 | true | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 11, "gpaPercentile": 80, "countPercentile": 10, "medianCount": 95, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1102 ##### term 1102 ##### gpa 3.524390243902439 ##### count 41 ##### university ###### size 774 ###### gpa Percentile 66 ###### count Percentile 21 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | true | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 0, "medianCount": 76.5, "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 } ] ``` #### 1114 ##### term 1114 ##### gpa 3.6363636363636362 ##### count 33 ##### university ###### size 804 ###### gpa Percentile 74 ###### count Percentile 8 ###### 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 | 53 | false | | 2.8–3.2 | 231 | false | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 12, "gpaPercentile": 91, "countPercentile": 0, "medianCount": 95, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "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 } ] ``` #### 1124 ##### term 1124 ##### gpa 3.445945945945946 ##### count 37 ##### university ###### size 821 ###### gpa Percentile 52 ###### count Percentile 15 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 39 | false | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | true | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 13, "gpaPercentile": 92, "countPercentile": 0, "medianCount": 93, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1134 ##### term 1134 ##### gpa 3.712121212121212 ##### count 33 ##### university ###### size 852 ###### gpa Percentile 75 ###### count Percentile 8 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 11, "gpaPercentile": 90, "countPercentile": 0, "medianCount": 112, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 2, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1144 ##### term 1144 ##### gpa 3.611111111111111 ##### count 36 ##### university ###### size 878 ###### gpa Percentile 67 ###### count Percentile 12 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 77, "countPercentile": 8, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1154 ##### term 1154 ##### gpa 3.7857142857142856 ##### count 35 ##### university ###### size 935 ###### gpa Percentile 80 ###### count Percentile 10 ###### median Count 63 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 92, "countPercentile": 0, "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": 1, "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": 3, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1164 ##### term 1164 ##### gpa 3.84375 ##### count 32 ##### university ###### size 965 ###### gpa Percentile 82 ###### count Percentile 5 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 58, "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": 3, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1174 ##### term 1174 ##### gpa 3.8833333333333333 ##### count 30 ##### university ###### size 955 ###### gpa Percentile 86 ###### count Percentile 0 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 18, "gpaPercentile": 94, "countPercentile": 0, "medianCount": 60, "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": 8, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1182 ##### term 1182 ##### gpa 3.8636363636363638 ##### count 44 ##### university ###### size 1025 ###### gpa Percentile 86 ###### count Percentile 25 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 27, "gpaPercentile": 92, "countPercentile": 12, "medianCount": 57, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 18, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1192 ##### term 1192 ##### gpa 3.9857142857142858 ##### count 35 ##### university ###### size 1077 ###### gpa Percentile 95 ###### count Percentile 9 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 24, "gpaPercentile": 100, "countPercentile": 0, "medianCount": 71.5, "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": 12, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1202 ##### term 1202 ##### gpa 3.7948717948717947 ##### count 39 ##### university ###### size 1102 ###### gpa Percentile 75 ###### count Percentile 18 ###### 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": "POLISCI", "comparison": { "size": 26, "gpaPercentile": 84, "countPercentile": 8, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1212 ##### term 1212 ##### gpa 3.838709677419355 ##### count 31 ##### university ###### size 1111 ###### gpa Percentile 75 ###### count Percentile 3 ###### 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": "POLISCI", "comparison": { "size": 29, "gpaPercentile": 93, "countPercentile": 0, "medianCount": 73, "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": 14, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1222 ##### term 1222 ##### gpa 3.466666666666667 ##### count 45 ##### university ###### size 1157 ###### gpa Percentile 35 ###### count Percentile 30 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 39, "countPercentile": 35, "medianCount": 50.5, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 15, "current": false } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1232 ##### term 1232 ##### gpa 3.4871794871794872 ##### count 39 ##### university ###### size 1216 ###### gpa Percentile 35 ###### count Percentile 20 ###### 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 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 33, "gpaPercentile": 31, "countPercentile": 9, "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": 5, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 15, "current": false } ] } }, { "subject": "PUBAFFR", "comparison": { "size": 10, "gpaPercentile": 33, "countPercentile": 22, "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": 4, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1242 ##### term 1242 ##### gpa 3.4390243902439024 ##### count 41 ##### university ###### size 1295 ###### gpa Percentile 29 ###### count Percentile 25 ###### 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 | true | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 31, "gpaPercentile": 33, "countPercentile": 13, "medianCount": 52, "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": 14, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` #### 1252 ##### term 1252 ##### gpa 3.8636363636363638 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | | PUBAFFR | | | URBRPL | | #### 1262 ##### term 1262 ##### gpa 3.6470588235294117 ##### count 34 ##### university ###### size 1320 ###### gpa Percentile 45 ###### count Percentile 8 ###### 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": "POLISCI", "comparison": { "size": 33, "gpaPercentile": 44, "countPercentile": 0, "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": 10, "current": false }, { "range": "3.6–4.0", "count": 23, "current": true } ] } }, { "subject": "PUBAFFR", "comparison": null }, { "subject": "URBRPL", "comparison": null } ] ``` ### benchmarks #### all ##### school ###### size 4759 ###### gpa 3.651040932973034 ###### top Share 81.34908509564612 ###### count 170 ##### POLISCI ###### size 115 ###### gpa 3.559556816169941 ###### top Share 78.50820864918711 ###### count 122 ##### PUBAFFR ###### size 36 ###### gpa 3.682424897156764 ###### top Share 85.02898472619759 ###### count 118 ##### URBRPL ###### size 38 ###### gpa 3.7464484158012277 ###### top Share 88.05238080487241 ###### count 116.5 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### POLISCI ###### size 13 ###### gpa 3.1997463044343535 ###### top Share 54.23585365978644 ###### count 88 ##### 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 ##### 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 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### POLISCI ###### size 14 ###### gpa 3.1739664025187007 ###### top Share 53.18004491288821 ###### count 76.5 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### POLISCI ###### size 12 ###### gpa 3.2185088366768486 ###### top Share 56.22209935190565 ###### count 95 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### POLISCI ###### size 13 ###### gpa 3.1934937099142284 ###### top Share 53.71713794999391 ###### count 93 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### POLISCI ###### size 11 ###### gpa 3.280823164113721 ###### top Share 59.66337782557022 ###### count 112 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### POLISCI ###### size 14 ###### gpa 3.3636801287501603 ###### top Share 66.05950163421888 ###### count 68 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### POLISCI ###### size 14 ###### gpa 3.3572994689885887 ###### top Share 65.12888891061475 ###### count 57.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### POLISCI ###### size 14 ###### gpa 3.387238014237884 ###### top Share 65.7223661684711 ###### count 58 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### POLISCI ###### size 18 ###### gpa 3.518685834115279 ###### top Share 75.71186270755474 ###### count 60 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### POLISCI ###### size 27 ###### gpa 3.3945516326036986 ###### top Share 67.29292509440347 ###### count 57 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### POLISCI ###### size 24 ###### gpa 3.3877472679471077 ###### top Share 66.73340391838997 ###### count 71.5 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### POLISCI ###### size 26 ###### gpa 3.4780734884386755 ###### top Share 73.10491162594762 ###### count 62 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### POLISCI ###### size 29 ###### gpa 3.536672518177847 ###### top Share 76.4438470307079 ###### count 73 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### POLISCI ###### size 32 ###### gpa 3.5006556757964944 ###### top Share 75.79663378946314 ###### count 50.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### POLISCI ###### size 33 ###### gpa 3.5166781206385624 ###### top Share 75.8351096221922 ###### count 55 ###### PUBAFFR ###### size 10 ###### gpa 3.6559302930529958 ###### top Share 84.00572242546237 ###### count 43 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### POLISCI ###### size 31 ###### gpa 3.5305358829108964 ###### top Share 77.33733829427872 ###### count 52 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### POLISCI ###### size 32 ###### gpa 3.59050798614564 ###### top Share 80.89004576107973 ###### count 53.5 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### POLISCI ###### size 33 ###### gpa 3.6552318292491512 ###### top Share 84.17209946246977 ###### count 79 ## instructor Trends ```json [ { "uid": "instructor_aa95e812f94247f0059102fe", "name": "DAVID EMANUEL NELSON", "count": 252, "terms": [ { "term": "1102", "count": 41, "sections": 1, "gpa": 3.524390243902439 }, { "term": "1154", "count": 35, "sections": 1, "gpa": 3.7857142857142856 }, { "term": "1164", "count": 32, "sections": 1, "gpa": 3.84375 }, { "term": "1174", "count": 30, "sections": 1, "gpa": 3.8833333333333333 }, { "term": "1182", "count": 44, "sections": 1, "gpa": 3.8636363636363638 }, { "term": "1202", "count": 39, "sections": 1, "gpa": 3.7948717948717947 }, { "term": "1212", "count": 31, "sections": 1, "gpa": 3.838709677419355 } ] }, { "uid": "instructor_31c595183b92bdad65f27726", "name": "MANUEL TEODORO", "count": 181, "terms": [ { "term": "1222", "count": 45, "sections": 1, "gpa": 3.466666666666667 }, { "term": "1232", "count": 39, "sections": 1, "gpa": 3.4871794871794872 }, { "term": "1242", "count": 41, "sections": 1, "gpa": 3.4390243902439024 }, { "term": "1252", "count": 22, "sections": 1, "gpa": 3.8636363636363638 }, { "term": "1262", "count": 34, "sections": 2, "gpa": 3.6470588235294117 } ] }, { "uid": "instructor_083943546269d29f67c93c6b", "name": "JOHN WITTE", "count": 135, "terms": [ { "term": "1082", "count": 22, "sections": 1, "gpa": 3.6136363636363638 }, { "term": "1092", "count": 39, "sections": 1, "gpa": 3.282051282051282 }, { "term": "1102", "count": 41, "sections": 1, "gpa": 3.524390243902439 }, { "term": "1114", "count": 33, "sections": 1, "gpa": 3.6363636363636362 } ] }, { "uid": "instructor_930be8e1fc7696a4c2b0bf21", "name": "SUSAN W YACKEE", "count": 106, "terms": [ { "term": "1124", "count": 37, "sections": 1, "gpa": 3.445945945945946 }, { "term": "1134", "count": 33, "sections": 1, "gpa": 3.712121212121212 }, { "term": "1144", "count": 36, "sections": 1, "gpa": 3.611111111111111 } ] }, { "uid": "instructor_dea519fda78d85afd5478b9e", "name": "MEGHAN ROARK CONDON", "count": 39, "terms": [ { "term": "1092", "count": 39, "sections": 1, "gpa": 3.282051282051282 } ] }, { "uid": "instructor_fb35e3d3e837fe7a2fa368bd", "name": "GRAHAM K WILSON", "count": 39, "terms": [ { "term": "1072", "count": 39, "sections": 1, "gpa": 3.7564102564102564 } ] }, { "uid": "instructor_4f34a299fa6efa4d660d98b9", "name": "SIMON HAEDER", "count": 37, "terms": [ { "term": "1124", "count": 37, "sections": 1, "gpa": 3.445945945945946 } ] }, { "uid": "instructor_c0a61ebc478c0c7e040a4523", "name": "ROBYN ROWE", "count": 35, "terms": [ { "term": "1192", "count": 35, "sections": 1, "gpa": 3.9857142857142858 } ] } ] ``` ## following None recorded.