# POLISCI 270: Political Data Science | UW–Madison [View on UW Courses](https://uwcourses.com/courses/POLISCI_270) ## 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 94c302eee462b918558ba0296f5f6e9d095cc37fdf1adf1a513f85789d4e2aef ### course id POLISCI 270 ### course uid course\_99345b3492738e258d4be6a0 ### catalog version id 6bdb666acf8d37886f17c98b3793b3503cbdb9b8ece30cee8ce1d0f4522af9c1 ### course number 270 ### subjects * POLISCI ### title POLITICAL DATA SCIENCE ### description Covers the basics of data science as applied to politics. This involves two broad skill sets: (1) learning the computing and programming tools to both manage and analyze political science data; and (2) understanding the conceptual foundations of why we might manage or analyze political data in one way versus another. Programming tools and statistical concepts will be discussed using examples from various parts of political science such as elections, surveys, and experiments. ### requirements text Satisfied Quantitative Reasoning (QR) A ### credit offering ids None recorded. ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 39b254d4fad15739ab41b51d49419c4582c00bf3ae5cf1168fc22fa91b74c235 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary POLITICAL DATA SCIENCE covers the basics of data science as applied to politics, focusing on computing tools and conceptual foundations for political data. ### llm topics * Elections, surveys, and experiments in political science * Statistical concepts ### llm skills * Computing and programming tools for managing and analyzing political data * Conceptual foundations for political data management and analysis ### llm assumed background None recorded. ### llm search phrases * political data science * data science politics * political science data analysis * programming political data ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash c254fdf124cab94f8e0e4bd0ed488fea5e45f7f88b2857e15890b3e283d2f4c2 #### course id POLISCI 270 #### current instructors None recorded. #### difficulty workload Historical reviews of Jack Edelson: Reviewers report difficult coding expectations without support and a rushed curriculum that left concepts unclear, culminating in a confusing final project. ```json { "citations": [ { "instructor_name": "Jack Edelson", "review_date": "2017-11-21 14:06:06 +0000 UTC", "review_id": "52e580c1ee4180d8dc7c6236", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1904060", "source_review_id": "UmF0aW5nLTI4OTQ3MDYy", "source_url": "https://www.ratemyprofessors.com/professor/1904060", "type": "review" }, { "instructor_name": "Jack Edelson", "review_date": "2017-12-13 16:48:51 +0000 UTC", "review_id": "d9e5afdd088f6aad33d6091d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1904060", "source_review_id": "UmF0aW5nLTI5MTgwNTA0", "source_url": "https://www.ratemyprofessors.com/professor/1904060", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Jack Edelson: Jack Edelson is described as an awful lecturer with disorganized and unhelpful lectures. Reviewers note that the course expects difficult coding support without adequate instruction, leading to confusion about concepts and applications. ```json { "citations": [ { "instructor_name": "Jack Edelson", "review_date": "2017-11-21 14:06:06 +0000 UTC", "review_id": "52e580c1ee4180d8dc7c6236", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1904060", "source_review_id": "UmF0aW5nLTI4OTQ3MDYy", "source_url": "https://www.ratemyprofessors.com/professor/1904060", "type": "review" }, { "instructor_name": "Jack Edelson", "review_date": "2017-12-13 16:48:51 +0000 UTC", "review_id": "d9e5afdd088f6aad33d6091d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1904060", "source_review_id": "UmF0aW5nLTI5MTgwNTA0", "source_url": "https://www.ratemyprofessors.com/professor/1904060", "type": "review" } ] } ``` #### offered false #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Historical reviews for Jack Edelson describe a miserable experience with an awful, disorganized lecturer who taught a low-level class with excessive difficulty and unclear instruction. ```json { "citations": [ { "instructor_name": "Jack Edelson", "review_date": "2017-11-21 14:06:06 +0000 UTC", "review_id": "52e580c1ee4180d8dc7c6236", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1904060", "source_review_id": "UmF0aW5nLTI4OTQ3MDYy", "source_url": "https://www.ratemyprofessors.com/professor/1904060", "type": "review" }, { "instructor_name": "Jack Edelson", "review_date": "2017-12-13 16:48:51 +0000 UTC", "review_id": "d9e5afdd088f6aad33d6091d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1904060", "source_review_id": "UmF0aW5nLTI5MTgwNTA0", "source_url": "https://www.ratemyprofessors.com/professor/1904060", "type": "review" } ] } ``` Recent recorded grades — Fall 2022: 3.82 GPA, 95.2% A/AB (n=42 letter grades); Fall 2024: 3.53 GPA, 80.9% A/AB (n=47 letter grades); Spring 2026: 3.67 GPA, 84.4% A/AB (n=90 letter grades). ```json { "citations": [ { "course_id": "POLISCI 270", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e4998cbc-63b7-3fb6-aafa-853b6bddf939", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "POLISCI 270", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e4998cbc-63b7-3fb6-aafa-853b6bddf939", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "POLISCI 270", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "e4998cbc-63b7-3fb6-aafa-853b6bddf939", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Historical reviews of Jack Edelson: Students found the lectures unhelpful and the course structure frustrating, with one reviewer advising to avoid the class entirely due to the misery involved. ```json { "citations": [ { "instructor_name": "Jack Edelson", "review_date": "2017-11-21 14:06:06 +0000 UTC", "review_id": "52e580c1ee4180d8dc7c6236", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1904060", "source_review_id": "UmF0aW5nLTI4OTQ3MDYy", "source_url": "https://www.ratemyprofessors.com/professor/1904060", "type": "review" }, { "instructor_name": "Jack Edelson", "review_date": "2017-12-13 16:48:51 +0000 UTC", "review_id": "d9e5afdd088f6aad33d6091d", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1904060", "source_review_id": "UmF0aW5nLTI5MTgwNTA0", "source_url": "https://www.ratemyprofessors.com/professor/1904060", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history JACK EDELSON is recorded teaching in Fall 2017. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "POLISCI 270", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "e4998cbc-63b7-3fb6-aafa-853b6bddf939", "source_record": { "entity_id": "e4998cbc-63b7-3fb6-aafa-853b6bddf939", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Satisfied Quantitative Reasoning (QR) A", "course": null, "evidence": "Satisfied Quantitative Reasoning (QR) A", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_6aec8d3b05754dc0f04f09d3", "source": "madgrades", "source_instructor_id": "4849392", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JACK EDELSON", "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": 6, "quality": 1.67, "difficulty": 4.17, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:1904060", "source_url": "https://www.ratemyprofessors.com/professor/1904060", "match_basis": "exact_name", "observed_at": "2026-09-07 16:35:22.962134+00:00", "courses": { "course_99345b3492738e258d4be6a0": { "review_count": 2, "quality": 1.5, "difficulty": 4.5, "quality_count": 2, "difficulty_count": 2 }, "course_bea55b6a287f37f3377c81f5": { "review_count": 1, "quality": 2, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.2005275258050734, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.934, "graded": 229, "counts": [ 39, 58, 60, 32, 21, 11, 8 ], "sections": 4 }, "instructor_url": "/instructors/JACK_EDELSON" }, { "instructor_uid": "instructor_b0fa7b6b5c9a9471dad0cd97", "source": "madgrades", "source_instructor_id": "5147442", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHRISTOPHER KREWSON", "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": 3.406, "graded": 155, "counts": [ 60, 46, 24, 12, 12, 1, 0 ], "sections": 3 }, "instructor_url": "/instructors/CHRISTOPHER_KREWSON" }, { "instructor_uid": "instructor_fe5962f3f18338ed1f09dad4", "source": "madgrades", "source_instructor_id": "5338165", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL DECRESCENZO", "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": 3.63, "graded": 46, "counts": [ 24, 16, 3, 2, 0, 1, 0 ], "sections": 3 }, "instructor_url": "/instructors/MICHAEL_DECRESCENZO--instructor_fe5962f3f18338ed1f09dad4" }, { "instructor_uid": "instructor_75eeac646726a508321a5f7c", "source": "madgrades", "source_instructor_id": "6238254", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ADELINE LO", "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": 6, "quality": 3.17, "difficulty": 3.5, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:2539947", "source_url": "https://www.ratemyprofessors.com/professor/2539947", "match_basis": "exact_name", "observed_at": "2026-09-07 16:57:42.327584+00:00", "courses": {}, "bayesian_quality": 3.546681371958919, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.571, "graded": 191, "counts": [ 109, 46, 18, 6, 7, 2, 3 ], "sections": 22 }, "instructor_url": "/instructors/ADELINE_LO--instructor_75eeac646726a508321a5f7c" }, { "instructor_uid": "instructor_da775cc20f81952da1d7d1cc", "source": "madgrades", "source_instructor_id": "5338330", "identity_basis": "source_id", "identity_status": "source_identified", "name": "EVAN MORIER", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 3, "quality": 1.33, "difficulty": 4, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2551201", "source_url": "https://www.ratemyprofessors.com/professor/2551201", "match_basis": "exact_name", "observed_at": "2026-09-07 16:40:03.809912+00:00", "courses": {}, "bayesian_quality": 3.3558137248231263, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.286, "graded": 91, "counts": [ 31, 25, 23, 3, 4, 3, 2 ], "sections": 4 }, "instructor_url": "/instructors/EVAN_MORIER--instructor_da775cc20f81952da1d7d1cc" }, { "instructor_uid": "instructor_052bbd4db7e41adccae8aae0", "source": "madgrades", "source_instructor_id": "5909029", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARCY SHIEH", "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": 3.592, "graded": 38, "counts": [ 24, 6, 4, 1, 2, 1, 0 ], "sections": 2 }, "instructor_url": "/instructors/MARCY_SHIEH" }, { "instructor_uid": "instructor_9ecc5ed2c8beeb238f10f5bf", "source": "madgrades", "source_instructor_id": "647573", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RYAN OWENS", "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": 19, "quality": 3.84, "difficulty": 3.68, "quality_count": 19, "difficulty_count": 19, "profile_id": "rmp:1676418", "source_url": "https://www.ratemyprofessors.com/professor/1676418", "match_basis": "exact_name", "observed_at": "2026-09-07 16:08:39.633779+00:00", "courses": { "course_e7b4fd0e5787ff4ba6a21cc2": { "review_count": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_cec555921f19469db71bf78f": { "review_count": 1, "quality": 5, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.7475311710495354, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.561, "graded": 1247, "counts": [ 687, 283, 141, 62, 54, 16, 4 ], "sections": 76 }, "instructor_url": "/instructors/RYAN_OWENS" }, { "instructor_uid": "instructor_61a48974b3556dd2b8f4b846", "source": "madgrades", "source_instructor_id": "1665642", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JEREMY KEDZIORA", "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": 3.771, "graded": 153, "counts": [ 106, 34, 9, 2, 1, 0, 1 ], "sections": 3 }, "instructor_url": "/instructors/JEREMY_KEDZIORA--instructor_61a48974b3556dd2b8f4b846" }, { "instructor_uid": "instructor_ee849033af1e72f471ef57db", "source": "madgrades", "source_instructor_id": "6687439", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SOEREN HENN", "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": 3.634, "graded": 172, "counts": [ 100, 45, 12, 9, 4, 1, 1 ], "sections": 5 }, "instructor_url": "/instructors/SOEREN_HENN--instructor_ee849033af1e72f471ef57db" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 270", "course_uid": "course_99345b3492738e258d4be6a0", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "JACK EDELSON" ], "a": 15, "ab": 25, "b": 23, "bc": 11, "c": 7, "d": 5, "f": 4, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 91, "source_aliases": [ "POLISCI 270" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 270", "course_uid": "course_99345b3492738e258d4be6a0", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "CHRISTOPHER KREWSON" ], "a": 26, "ab": 15, "b": 2, "bc": 1, "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": 46, "source_aliases": [ "POLISCI 270" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 270", "course_uid": "course_99345b3492738e258d4be6a0", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "MICHAEL DECRESCENZO" ], "a": 24, "ab": 16, "b": 3, "bc": 2, "c": 0, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "POLISCI 270" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 270", "course_uid": "course_99345b3492738e258d4be6a0", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Adeline Lo" ], "a": 7, "ab": 10, "b": 5, "bc": 4, "c": 4, "d": 1, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 33, "source_aliases": [ "POLISCI 270" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 270", "course_uid": "course_99345b3492738e258d4be6a0", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "EVAN MORIER" ], "a": 19, "ab": 11, "b": 13, "bc": 1, "c": 1, "d": 2, "f": 1, "satisfactory": 18, "unsatisfactory": 11, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 3, "other": 0, "total": 81, "source_aliases": [ "POLISCI 270" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 270", "course_uid": "course_99345b3492738e258d4be6a0", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Adeline Lo", "EVAN MORIER" ], "a": 12, "ab": 14, "b": 10, "bc": 2, "c": 3, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "POLISCI 270" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 270", "course_uid": "course_99345b3492738e258d4be6a0", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "MARCY SHIEH", "RYAN OWENS" ], "a": 24, "ab": 6, "b": 4, "bc": 1, "c": 2, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 1, "not_reported": 0, "other": 0, "total": 41, "source_aliases": [ "POLISCI 270" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 270", "course_uid": "course_99345b3492738e258d4be6a0", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "JEREMY KEDZIORA" ], "a": 35, "ab": 5, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 42, "source_aliases": [ "POLISCI 270" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 270", "course_uid": "course_99345b3492738e258d4be6a0", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Soeren Henn" ], "a": 28, "ab": 10, "b": 3, "bc": 2, "c": 2, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "POLISCI 270" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 270", "course_uid": "course_99345b3492738e258d4be6a0", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Soeren Henn" ], "a": 52, "ab": 24, "b": 8, "bc": 4, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 1, "not_reported": 0, "other": 0, "total": 92, "source_aliases": [ "POLISCI 270" ] } ] ``` ### statistics #### gpa 3.419 #### graded 523 #### counts * 242 * 136 * 72 * 28 * 23 * 12 * 10 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_99345b3492738e258d4be6a0-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_99345b3492738e258d4be6a0-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_99345b3492738e258d4be6a0-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_99345b3492738e258d4be6a0-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_99345b3492738e258d4be6a0-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_99345b3492738e258d4be6a0-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_99345b3492738e258d4be6a0-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_99345b3492738e258d4be6a0-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.418738049713193 #### count 523 #### university ##### size 4194 ##### gpa Percentile 18 ##### count Percentile 85 ##### median Count 123 ##### 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 | 6 | false | | 2.8–3.2 | 269 | false | | 3.2–3.6 | 1115 | true | | 3.6–4.0 | 2804 | false | #### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 90, "gpaPercentile": 29, "countPercentile": 87, "medianCount": 144, "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": 42, "current": true }, { "range": "3.6–4.0", "count": 45, "current": false } ] } } ] ``` ### terms #### 1182 ##### term 1182 ##### gpa 2.922222222222222 ##### count 90 ##### university ###### size 1025 ###### gpa Percentile 5 ###### count Percentile 63 ###### 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 | true | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 27, "gpaPercentile": 4, "countPercentile": 65, "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": true }, { "range": "3.2–3.6", "count": 18, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.6739130434782608 ##### count 46 ##### university ###### size 1010 ###### gpa Percentile 66 ###### count Percentile 29 ###### 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": 81, "countPercentile": 19, "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 } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.630434782608696 ##### count 46 ##### university ###### size 1040 ###### gpa Percentile 59 ###### count Percentile 30 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": 85, "countPercentile": 11, "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 2.9393939393939394 ##### count 33 ##### university ###### size 1102 ###### gpa Percentile 5 ###### count Percentile 7 ###### 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 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 26, "gpaPercentile": 0, "countPercentile": 0, "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": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.3333333333333335 ##### count 48 ##### university ###### size 1012 ###### gpa Percentile 8 ###### count Percentile 34 ###### 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 | true | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 29, "gpaPercentile": 4, "countPercentile": 39, "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": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.2325581395348837 ##### count 43 ##### university ###### size 1111 ###### gpa Percentile 16 ###### count Percentile 25 ###### 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 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 29, "gpaPercentile": 14, "countPercentile": 11, "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": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.5921052631578947 ##### count 38 ##### university ###### size 1157 ###### gpa Percentile 46 ###### count Percentile 18 ###### 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": 52, "countPercentile": 13, "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 } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.8214285714285716 ##### count 42 ##### university ###### size 1216 ###### gpa Percentile 72 ###### count Percentile 25 ###### 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": 94, "countPercentile": 19, "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 } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.5319148936170213 ##### count 47 ##### university ###### size 1333 ###### gpa Percentile 35 ###### count Percentile 31 ###### 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 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 42, "countPercentile": 23, "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": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.6666666666666665 ##### count 90 ##### university ###### size 1283 ###### gpa Percentile 45 ###### count Percentile 64 ###### 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": 41, "countPercentile": 66, "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 4194 ###### gpa 3.681823812719574 ###### top Share 83.31772630507866 ###### count 123 ##### POLISCI ###### size 90 ###### gpa 3.5613474652083847 ###### top Share 78.6711377640097 ###### count 144 #### 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 ##### 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 ##### 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 ##### 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 ##### 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_ee849033af1e72f471ef57db", "name": "SOEREN HENN", "count": 137, "terms": [ { "term": "1252", "count": 47, "sections": 1, "gpa": 3.5319148936170213 }, { "term": "1264", "count": 90, "sections": 1, "gpa": 3.6666666666666665 } ] }, { "uid": "instructor_da775cc20f81952da1d7d1cc", "name": "EVAN MORIER", "count": 91, "terms": [ { "term": "1204", "count": 48, "sections": 1, "gpa": 3.3333333333333335 }, { "term": "1212", "count": 43, "sections": 1, "gpa": 3.2325581395348837 } ] }, { "uid": "instructor_6aec8d3b05754dc0f04f09d3", "name": "JACK EDELSON", "count": 90, "terms": [ { "term": "1182", "count": 90, "sections": 1, "gpa": 2.922222222222222 } ] }, { "uid": "instructor_75eeac646726a508321a5f7c", "name": "ADELINE LO", "count": 76, "terms": [ { "term": "1202", "count": 33, "sections": 1, "gpa": 2.9393939393939394 }, { "term": "1212", "count": 43, "sections": 1, "gpa": 3.2325581395348837 } ] }, { "uid": "instructor_b0fa7b6b5c9a9471dad0cd97", "name": "CHRISTOPHER KREWSON", "count": 46, "terms": [ { "term": "1184", "count": 46, "sections": 1, "gpa": 3.6739130434782608 } ] }, { "uid": "instructor_fe5962f3f18338ed1f09dad4", "name": "MICHAEL DECRESCENZO", "count": 46, "terms": [ { "term": "1194", "count": 46, "sections": 1, "gpa": 3.630434782608696 } ] }, { "uid": "instructor_61a48974b3556dd2b8f4b846", "name": "JEREMY KEDZIORA", "count": 42, "terms": [ { "term": "1232", "count": 42, "sections": 1, "gpa": 3.8214285714285716 } ] }, { "uid": "instructor_052bbd4db7e41adccae8aae0", "name": "MARCY SHIEH", "count": 38, "terms": [ { "term": "1222", "count": 38, "sections": 1, "gpa": 3.5921052631578947 } ] }, { "uid": "instructor_9ecc5ed2c8beeb238f10f5bf", "name": "RYAN OWENS", "count": 38, "terms": [ { "term": "1222", "count": 38, "sections": 1, "gpa": 3.5921052631578947 } ] } ] ``` ## following None recorded.