# POLISCI 315: Legislative Internship | UW–Madison [View on UW Courses](https://uwcourses.com/courses/POLISCI_315) ## 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 57523ec710148acaeb8928d0a08a7b8eb8edbd72acd3c202334f34a74cb351b4 ### course id POLISCI 315 ### course uid course\_d23fc0b6cde8c44ff4d5e33f ### catalog version id 9c9a44e05ed7ba64c10b15ca60457d388078e9c937078f73f137343f16ab1ae1 ### course number 315 ### subjects * POLISCI ### title LEGISLATIVE INTERNSHIP ### description Practical experience in a legislative office. Policy research. Readings in legislative process. ### requirements text Consent of instructor ### credits min 3 ### credits max 3 ### credit offering ids * 1272:778:015932 ### llm job id enrich-e3ac7cc2ea73162e430eda3e ### llm output id dfd89693e941d29c1326cf0468ec61d88049ad68a646669823d241dc749df48d ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary POLISCI 315 is a legislative internship providing practical experience in a legislative office, policy research, and readings on the legislative process. ### llm topics * Legislative office operations * Policy research * Legislative process ### llm skills * Practical legislative office experience * Policy research * Understanding legislative process ### llm assumed background None recorded. ### llm search phrases * legislative internship POLISCI 315 * legislative office experience * policy research internship * legislative process readings ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 845d865121af6ea4af25d94de336dab931217c1225719502a5456d43f84d3ad2 #### course id POLISCI 315 #### current instructors ```json [ { "instructor_uid": "instructor_0191eca51c335e8d22a3a295", "message": null, "name": "Amy Gangl", "review_status": "supported", "rmp_instructor_id": "rmp:1564716", "summary": [ { "citations": [ { "instructor_name": "Amy Gangl", "review_date": "2020-01-09 23:52:58 +0000 UTC", "review_id": "cf6c247532f91784fb1319a3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1564716", "source_review_id": "UmF0aW5nLTMyODE4MTYw", "source_url": "https://www.ratemyprofessors.com/professor/1564716", "type": "review" }, { "instructor_name": "Amy Gangl", "review_date": "2022-11-21 18:45:52 +0000 UTC", "review_id": "f049718d8ee57844c1886261", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1564716", "source_review_id": "UmF0aW5nLTM2ODc0ODk0", "source_url": "https://www.ratemyprofessors.com/professor/1564716", "type": "review" }, { "instructor_name": "Amy Gangl", "review_date": "2023-03-01 16:32:08 +0000 UTC", "review_id": "73f35bda75add55f2456fb33", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1564716", "source_review_id": "UmF0aW5nLTM3NDY4NDcy", "source_url": "https://www.ratemyprofessors.com/professor/1564716", "type": "review" } ], "text": "Amy Gangl is praised for being organized and understanding, with students recommending the course for easy political science credits and learning about state politics. Reviewers note the workload involves busy work, with one finding it adds to existing internship hours and another describing the office work as manageable at 6-8 hours per week." }, { "citations": [ { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=53 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=54 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=59 letter grades)." } ] } ] ``` #### difficulty workload Students report low difficulty and minimal weekly time commitments, typically 3 to 8 hours, consisting of discussion posts and final projects based on internship work. ```json { "citations": [ { "instructor_name": "Amy Gangl", "review_date": "2020-01-09 23:52:58 +0000 UTC", "review_id": "cf6c247532f91784fb1319a3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1564716", "source_review_id": "UmF0aW5nLTMyODE4MTYw", "source_url": "https://www.ratemyprofessors.com/professor/1564716", "type": "review" }, { "instructor_name": "Amy Gangl", "review_date": "2022-11-21 18:45:52 +0000 UTC", "review_id": "f049718d8ee57844c1886261", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1564716", "source_review_id": "UmF0aW5nLTM2ODc0ODk0", "source_url": "https://www.ratemyprofessors.com/professor/1564716", "type": "review" }, { "instructor_name": "Amy Gangl", "review_date": "2023-03-01 16:32:08 +0000 UTC", "review_id": "73f35bda75add55f2456fb33", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1564716", "source_review_id": "UmF0aW5nLTM3NDY4NDcy", "source_url": "https://www.ratemyprofessors.com/professor/1564716", "type": "review" } ] } ``` #### errors None recorded. #### historical context None recorded. #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Amy Gangl's POLISCI 315 is an online internship-based course with low difficulty, though students disagree on whether the additional assignments are valuable learning or busy work. ```json { "citations": [ { "instructor_name": "Amy Gangl", "review_date": "2020-01-09 23:52:58 +0000 UTC", "review_id": "cf6c247532f91784fb1319a3", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1564716", "source_review_id": "UmF0aW5nLTMyODE4MTYw", "source_url": "https://www.ratemyprofessors.com/professor/1564716", "type": "review" }, { "instructor_name": "Amy Gangl", "review_date": "2022-11-21 18:45:52 +0000 UTC", "review_id": "f049718d8ee57844c1886261", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1564716", "source_review_id": "UmF0aW5nLTM2ODc0ODk0", "source_url": "https://www.ratemyprofessors.com/professor/1564716", "type": "review" }, { "instructor_name": "Amy Gangl", "review_date": "2023-03-01 16:32:08 +0000 UTC", "review_id": "73f35bda75add55f2456fb33", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1564716", "source_review_id": "UmF0aW5nLTM3NDY4NDcy", "source_url": "https://www.ratemyprofessors.com/professor/1564716", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=53 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=54 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=59 letter grades). ```json { "citations": [ { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Experiences diverge on the quality of the workload; one reviewer found the assignments to be busy work, while another praised the instructor's organization and understanding nature. ```json { "citations": [ { "instructor_name": "Amy Gangl", "review_date": "2022-11-21 18:45:52 +0000 UTC", "review_id": "f049718d8ee57844c1886261", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1564716", "source_review_id": "UmF0aW5nLTM2ODc0ODk0", "source_url": "https://www.ratemyprofessors.com/professor/1564716", "type": "review" }, { "instructor_name": "Amy Gangl", "review_date": "2023-03-01 16:32:08 +0000 UTC", "review_id": "73f35bda75add55f2456fb33", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1564716", "source_review_id": "UmF0aW5nLTM3NDY4NDcy", "source_url": "https://www.ratemyprofessors.com/professor/1564716", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history AMY GANGL is recorded teaching in Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "POLISCI 315", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "source_record": { "entity_id": "bc3b5aa9-96a6-32ca-a302-65e68ad5913d", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Consent of instructor", "course": null, "evidence": "Consent of instructor", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_0191eca51c335e8d22a3a295", "source": "enrollment", "source_instructor_id": "agangl", "identity_basis": "netid", "identity_status": "source_identified", "name": "Amy Gangl", "email": "AGANGL@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", "ratings": { "review_count": 17, "quality": 4.24, "difficulty": 1.29, "quality_count": 17, "difficulty_count": 17, "profile_id": "rmp:1564716", "source_url": "https://www.ratemyprofessors.com/professor/1564716", "match_basis": "exact_name", "observed_at": "2026-09-07 16:55:58.731281+00:00", "courses": { "course_d23fc0b6cde8c44ff4d5e33f": { "review_count": 3, "quality": 3.67, "difficulty": 1, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.926316639754916, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/AMY_GANGL" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:778:015932", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1272", "source_course_id": "015932", "source_subject_id": "778", "title": "Legislative Internship", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring, Summer" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:18174", "term_id": "1272", "source_section_id": "18174", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 100, "enrolled": 35, "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_0006a7258cb0f60c8191fb3c", "source": "madgrades", "source_instructor_id": "875558", "identity_basis": "source_id", "identity_status": "source_identified", "name": "AMY GANGL", "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": 17, "quality": 4.24, "difficulty": 1.29, "quality_count": 17, "difficulty_count": 17, "profile_id": "rmp:1564716", "source_url": "https://www.ratemyprofessors.com/professor/1564716", "match_basis": "exact_name", "observed_at": "2026-09-07 16:55:58.731281+00:00", "courses": { "course_d23fc0b6cde8c44ff4d5e33f": { "review_count": 3, "quality": 3.67, "difficulty": 1, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.926316639754916, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.981, "graded": 1119, "counts": [ 1091, 18, 7, 1, 2, 0, 0 ], "sections": 72 }, "instructor_url": "/instructors/AMY_GANGL--instructor_0006a7258cb0f60c8191fb3c" }, { "instructor_uid": "instructor_0191eca51c335e8d22a3a295", "source": "enrollment", "source_instructor_id": "agangl", "identity_basis": "netid", "identity_status": "source_identified", "name": "Amy Gangl", "email": "AGANGL@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", "ratings": { "review_count": 17, "quality": 4.24, "difficulty": 1.29, "quality_count": 17, "difficulty_count": 17, "profile_id": "rmp:1564716", "source_url": "https://www.ratemyprofessors.com/professor/1564716", "match_basis": "exact_name", "observed_at": "2026-09-07 16:55:58.731281+00:00", "courses": { "course_d23fc0b6cde8c44ff4d5e33f": { "review_count": 3, "quality": 3.67, "difficulty": 1, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.926316639754916, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/AMY_GANGL" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Amy Gangl" ], "a": 32, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 32, "source_aliases": [ "POLISCI 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Amy Gangl" ], "a": 35, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 35, "source_aliases": [ "POLISCI 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Amy Gangl" ], "a": 36, "ab": 0, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "POLISCI 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Amy Gangl" ], "a": 49, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 49, "source_aliases": [ "POLISCI 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Amy Gangl" ], "a": 63, "ab": 3, "b": 0, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 69, "source_aliases": [ "POLISCI 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Amy Gangl" ], "a": 65, "ab": 2, "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": 68, "source_aliases": [ "POLISCI 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Amy Gangl" ], "a": 38, "ab": 0, "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 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Amy Gangl" ], "a": 56, "ab": 1, "b": 2, "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": 60, "source_aliases": [ "POLISCI 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Amy Gangl" ], "a": 66, "ab": 0, "b": 1, "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": 68, "source_aliases": [ "POLISCI 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Amy Gangl" ], "a": 60, "ab": 0, "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": 61, "source_aliases": [ "POLISCI 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Amy Gangl" ], "a": 51, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 51, "source_aliases": [ "POLISCI 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Amy Gangl" ], "a": 40, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 40, "source_aliases": [ "POLISCI 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Amy Gangl" ], "a": 46, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 46, "source_aliases": [ "POLISCI 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Amy Gangl" ], "a": 54, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 54, "source_aliases": [ "POLISCI 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Amy Gangl" ], "a": 53, "ab": 0, "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": 54, "source_aliases": [ "POLISCI 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Amy Gangl" ], "a": 54, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 56, "source_aliases": [ "POLISCI 315" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 315", "course_uid": "course_d23fc0b6cde8c44ff4d5e33f", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Amy Gangl" ], "a": 59, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 59, "source_aliases": [ "POLISCI 315" ] } ] ``` ### statistics #### gpa 3.986 #### graded 870 #### counts * 857 * 6 * 4 * 1 * 2 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_d23fc0b6cde8c44ff4d5e33f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_d23fc0b6cde8c44ff4d5e33f-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d23fc0b6cde8c44ff4d5e33f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d23fc0b6cde8c44ff4d5e33f-0.json) * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d23fc0b6cde8c44ff4d5e33f-1.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d23fc0b6cde8c44ff4d5e33f-1.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_d23fc0b6cde8c44ff4d5e33f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_d23fc0b6cde8c44ff4d5e33f-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_d23fc0b6cde8c44ff4d5e33f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_d23fc0b6cde8c44ff4d5e33f-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.985632183908046 #### count 870 #### university ##### size 5099 ##### gpa Percentile 92 ##### count Percentile 87 ##### median Count 159 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 7 | false | | 2.8–3.2 | 264 | false | | 3.2–3.6 | 1268 | false | | 3.6–4.0 | 3559 | true | #### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 116, "gpaPercentile": 98, "countPercentile": 90, "medianCount": 176.5, "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": 50, "current": false }, { "range": "3.6–4.0", "count": 62, "current": true } ] } } ] ``` ### terms #### 1182 ##### term 1182 ##### gpa 4 ##### count 32 ##### university ###### size 1025 ###### gpa Percentile 97 ###### count Percentile 4 ###### 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": 100, "countPercentile": 0, "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 } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 4 ##### count 35 ##### university ###### size 1010 ###### gpa Percentile 96 ###### count Percentile 9 ###### 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": 100, "countPercentile": 4, "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 } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.972972972972973 ##### count 37 ##### university ###### size 1077 ###### gpa Percentile 94 ###### count Percentile 14 ###### 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": 96, "countPercentile": 4, "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 } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 4 ##### count 49 ##### university ###### size 1040 ###### gpa Percentile 95 ###### count Percentile 32 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 100, "countPercentile": 26, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.9477611940298507 ##### count 67 ##### university ###### size 1102 ###### gpa Percentile 92 ###### count Percentile 49 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 26, "gpaPercentile": 96, "countPercentile": 56, "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 } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.985074626865672 ##### count 67 ##### university ###### size 1012 ###### gpa Percentile 91 ###### count Percentile 51 ###### 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": 100, "countPercentile": 64, "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 } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 4 ##### count 38 ##### university ###### size 1111 ###### gpa Percentile 96 ###### count Percentile 16 ###### 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": 100, "countPercentile": 4, "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 } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.925 ##### count 60 ##### university ###### size 1157 ###### gpa Percentile 88 ###### count Percentile 46 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 100, "countPercentile": 58, "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": false }, { "range": "3.6–4.0", "count": 15, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.963235294117647 ##### count 68 ##### university ###### size 1171 ###### gpa Percentile 90 ###### count Percentile 52 ###### 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": 100, "countPercentile": 48, "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 } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 4 ##### count 60 ##### university ###### size 1216 ###### gpa Percentile 95 ###### count Percentile 45 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 33, "gpaPercentile": 100, "countPercentile": 53, "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": false }, { "range": "3.6–4.0", "count": 15, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 4 ##### count 51 ##### university ###### size 1188 ###### gpa Percentile 95 ###### count Percentile 37 ###### 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": 100, "countPercentile": 41, "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 } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 4 ##### count 40 ##### university ###### size 1295 ###### gpa Percentile 96 ###### count Percentile 24 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 31, "gpaPercentile": 100, "countPercentile": 10, "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": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 4 ##### count 46 ##### university ###### size 1241 ###### gpa Percentile 95 ###### count Percentile 31 ###### 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": 100, "countPercentile": 30, "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 } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 4 ##### count 54 ##### university ###### size 1333 ###### gpa Percentile 96 ###### count Percentile 38 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 100, "countPercentile": 52, "medianCount": 53.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 4 ##### count 53 ##### university ###### size 1289 ###### gpa Percentile 96 ###### count Percentile 38 ###### 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": 100, "countPercentile": 45, "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 } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 4 ##### count 54 ##### university ###### size 1320 ###### gpa Percentile 95 ###### count Percentile 36 ###### 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": 100, "countPercentile": 31, "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 } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 4 ##### count 59 ##### university ###### size 1283 ###### gpa Percentile 95 ###### count Percentile 44 ###### 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": 100, "countPercentile": 45, "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 } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5099 ###### gpa 3.6995792410818003 ###### top Share 84.30705259287105 ###### count 159 ##### POLISCI ###### size 116 ###### gpa 3.59859480649691 ###### top Share 80.75207296223968 ###### count 176.5 #### terms ##### 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 ##### 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 ##### 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 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### POLISCI ###### size 28 ###### gpa 3.3622929055465627 ###### top Share 67.77057007459834 ###### count 60 ##### 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 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### POLISCI ###### size 29 ###### gpa 3.6515292898120917 ###### top Share 84.42435417336284 ###### count 59 ##### 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 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### POLISCI ###### size 28 ###### gpa 3.532143371297822 ###### top Share 77.90235292035405 ###### count 69 ##### 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 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### POLISCI ###### size 28 ###### gpa 3.5845277295873372 ###### top Share 78.11327833817083 ###### count 60.5 ##### 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 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### POLISCI ###### size 31 ###### gpa 3.553793736689284 ###### top Share 78.69346146940943 ###### count 56 ##### 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 ##### 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 ##### 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 ##### 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_0006a7258cb0f60c8191fb3c", "name": "AMY GANGL", "count": 870, "terms": [ { "term": "1182", "count": 32, "sections": 1, "gpa": 4 }, { "term": "1184", "count": 35, "sections": 1, "gpa": 4 }, { "term": "1192", "count": 37, "sections": 1, "gpa": 3.972972972972973 }, { "term": "1194", "count": 49, "sections": 1, "gpa": 4 }, { "term": "1202", "count": 67, "sections": 1, "gpa": 3.9477611940298507 }, { "term": "1204", "count": 67, "sections": 1, "gpa": 3.985074626865672 }, { "term": "1212", "count": 38, "sections": 1, "gpa": 4 }, { "term": "1222", "count": 60, "sections": 1, "gpa": 3.925 }, { "term": "1224", "count": 68, "sections": 1, "gpa": 3.963235294117647 }, { "term": "1232", "count": 60, "sections": 1, "gpa": 4 }, { "term": "1234", "count": 51, "sections": 1, "gpa": 4 }, { "term": "1242", "count": 40, "sections": 1, "gpa": 4 }, { "term": "1244", "count": 46, "sections": 1, "gpa": 4 }, { "term": "1252", "count": 54, "sections": 1, "gpa": 4 }, { "term": "1254", "count": 53, "sections": 1, "gpa": 4 }, { "term": "1262", "count": 54, "sections": 1, "gpa": 4 }, { "term": "1264", "count": 59, "sections": 1, "gpa": 4 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.95 #### upper 4 #### coverage 80 #### terms 4 ### gpa 3.9908614945264165 ### grades | grade | percentage | | ----- | ------------------- | | A | 99.1876884023481 | | AB | 0.20307789941297794 | | B | 0.40615579882595587 | | BC | 0 | | C | 0.20307789941297794 | | D | 0 | | F | 0 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 268 ### same Season true ### historical Range * 3.925 * 4 ### backtest #### terms 4 #### gpa Error 0.024384536196386586 #### mix Error 2.3421730638265754