# POLISCI 330: Political Economy of Development | UW–Madison [View on UW Courses](https://uwcourses.com/courses/POLISCI_330) ## 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 6d5549619a62c42f44e568d3b2b13b9e19f32929f03a593412a26ed341a3a877 ### course id POLISCI 330 ### course uid course\_cbca93af10669141bf015ca5 ### catalog version id 4f88327fbcd1d4284e88fea6b6270908290a59b9969e6f3085253185074317c6 ### course number 330 ### subjects * POLISCI ### title POLITICAL ECONOMY OF DEVELOPMENT ### description An introduction to the political economy of development. Why are some countries more economically developed than others? To help answer this question, examine leading theories of economic development. In light of these theories, then examine the development experiences of three major regions of the world. Consider a series of issues about development, including the effect of ethnic diversity, corruption, natural resources, and women's empowerment on economic development. Conclude with an examination of the effects of international interactions-via trade, foreign aid, migration, and war-on economic development. ### requirements text Sophomore standing ### credits min 3 ### credits max 4 ### credit offering ids * 1272:778:024612 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 0f25e898b25af0469716502e2a7d65c920d7dd54c5da74ad8afe9831b58c5797 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary POLITICAL ECONOMY OF DEVELOPMENT introduces theories of economic development and examines regional experiences and international factors. ### llm topics * Theories of economic development * Development experiences of major world regions * Effects of ethnic diversity, corruption, natural resources, and women's empowerment * Effects of international interactions including trade, foreign aid, migration, and war ### llm skills * Examine leading theories of economic development * Examine development experiences of major world regions * Consider effects of ethnic diversity, corruption, natural resources, and women's empowerment on development * Examine effects of international interactions like trade, aid, migration, and war on development ### llm assumed background None recorded. ### llm search phrases * political economy development theories * economic development regions ethnic diversity corruption * international trade aid migration war development ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 2ee132028ab71f17cc5e1ba0f46b642ec17087740fe3df834f2c8f1986b3000d #### course id POLISCI 330 #### current instructors ```json [ { "instructor_uid": "instructor_9b21141eb982ce29c92866a0", "message": "No course-specific reviews available", "name": "Rikhil Bhavnani", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:1672406", "summary": [ { "citations": [ { "course_id": "POLISCI 330", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "01518d62-16e0-3a77-ad2f-f829a23b2b4e", "source_record": { "entity_id": "01518d62-16e0-3a77-ad2f-f829a23b2b4e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "POLISCI 330", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "01518d62-16e0-3a77-ad2f-f829a23b2b4e", "source_record": { "entity_id": "01518d62-16e0-3a77-ad2f-f829a23b2b4e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" } ], "text": "Recent recorded grades — Fall 2017: 3.27 GPA, 58.0% A/AB (n=50 letter grades); Fall 2020: 3.13 GPA, 44.0% A/AB (n=100 letter grades)." } ] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Fall 2017: 3.27 GPA, 58.0% A/AB (n=50 letter grades); Fall 2020: 3.13 GPA, 44.0% A/AB (n=100 letter grades). ```json { "citations": [ { "course_id": "POLISCI 330", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "01518d62-16e0-3a77-ad2f-f829a23b2b4e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "POLISCI 330", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "01518d62-16e0-3a77-ad2f-f829a23b2b4e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1212", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history RIKHIL BHAVNANI is recorded teaching in Fall 2017, Fall 2020. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "POLISCI 330", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "01518d62-16e0-3a77-ad2f-f829a23b2b4e", "source_record": { "entity_id": "01518d62-16e0-3a77-ad2f-f829a23b2b4e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "POLISCI 330", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "01518d62-16e0-3a77-ad2f-f829a23b2b4e", "source_record": { "entity_id": "01518d62-16e0-3a77-ad2f-f829a23b2b4e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Sophomore standing", "course": null, "evidence": "Sophomore standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_4172a7ecf74f6e8a54df6f89", "source": "enrollment", "source_instructor_id": "asjadhav2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Amit Jadhav", "email": "ASJADHAV2@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/AMIT_JADHAV" }, { "instructor_uid": "instructor_fd670034f81717e0b757e599", "source": "enrollment", "source_instructor_id": "tebid", "identity_basis": "netid", "identity_status": "source_identified", "name": "Norah-Frida Tebid", "email": "TEBID@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/NORAH-FRIDA_TEBID" }, { "instructor_uid": "instructor_9b21141eb982ce29c92866a0", "source": "enrollment", "source_instructor_id": "bhavnani", "identity_basis": "netid", "identity_status": "source_identified", "name": "Rikhil Bhavnani", "email": "BHAVNANI@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": 13, "quality": 4.31, "difficulty": 2.69, "quality_count": 13, "difficulty_count": 13, "profile_id": "rmp:1672406", "source_url": "https://www.ratemyprofessors.com/professor/1672406", "match_basis": "exact_name", "observed_at": "2026-09-07 16:09:52.102702+00:00", "courses": { "course_0a1fb69f6aa31e633df90ce2": { "review_count": 4, "quality": 3.5, "difficulty": 2.5, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.9158701718464215, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/RIKHIL_BHAVNANI" } ] ``` ### offerings ```json [ { "run_id": 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"uw-section:1272:35284", "term_id": "1272", "source_section_id": "35284", "identity_basis": "class_number", "section_number": "302", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 17, "enrolled": 17, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:35285", "term_id": "1272", "source_section_id": "35285", "identity_basis": "class_number", "section_number": "303", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 17, "enrolled": 17, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:35286", "term_id": "1272", "source_section_id": "35286", "identity_basis": "class_number", "section_number": "304", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 17, "enrolled": 14, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:35287", "term_id": "1272", "source_section_id": "35287", "identity_basis": "class_number", "section_number": "305", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 17, "enrolled": 15, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:35288", "term_id": "1272", "source_section_id": "35288", "identity_basis": "class_number", "section_number": "306", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 17, "enrolled": 15, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:35289", "term_id": "1272", "source_section_id": "35289", "identity_basis": "class_number", "section_number": "307", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 17, "enrolled": 17, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:38234", "term_id": "1272", "source_section_id": "38234", "identity_basis": "class_number", "section_number": "532", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 0, "enrolled": 1, "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_e3916314df950c47609f5f3b", "source": "madgrades", "source_instructor_id": "3977763", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RIKHIL BHAVNANI", "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": 13, "quality": 4.31, "difficulty": 2.69, "quality_count": 13, "difficulty_count": 13, "profile_id": "rmp:1672406", "source_url": "https://www.ratemyprofessors.com/professor/1672406", "match_basis": "exact_name", "observed_at": "2026-09-07 16:09:52.102702+00:00", "courses": { "course_0a1fb69f6aa31e633df90ce2": { "review_count": 4, "quality": 3.5, "difficulty": 2.5, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.9158701718464215, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.414, "graded": 537, "counts": [ 208, 167, 95, 30, 27, 3, 7 ], "sections": 61 }, "instructor_url": "/instructors/RIKHIL_BHAVNANI--instructor_e3916314df950c47609f5f3b" }, { "instructor_uid": "instructor_4172a7ecf74f6e8a54df6f89", "source": "enrollment", "source_instructor_id": "asjadhav2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Amit Jadhav", "email": "ASJADHAV2@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/AMIT_JADHAV" }, { "instructor_uid": "instructor_9b21141eb982ce29c92866a0", "source": "enrollment", "source_instructor_id": "bhavnani", "identity_basis": "netid", "identity_status": "source_identified", "name": "Rikhil Bhavnani", "email": "BHAVNANI@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": 13, "quality": 4.31, "difficulty": 2.69, "quality_count": 13, "difficulty_count": 13, "profile_id": "rmp:1672406", "source_url": "https://www.ratemyprofessors.com/professor/1672406", "match_basis": "exact_name", "observed_at": "2026-09-07 16:09:52.102702+00:00", "courses": { "course_0a1fb69f6aa31e633df90ce2": { "review_count": 4, "quality": 3.5, "difficulty": 2.5, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.9158701718464215, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/RIKHIL_BHAVNANI" }, { "instructor_uid": "instructor_fd670034f81717e0b757e599", "source": "enrollment", "source_instructor_id": "tebid", "identity_basis": "netid", "identity_status": "source_identified", "name": "Norah-Frida Tebid", "email": "TEBID@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/NORAH-FRIDA_TEBID" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 330", "course_uid": "course_cbca93af10669141bf015ca5", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Rikhil Bhavnani" ], "a": 10, "ab": 19, "b": 13, "bc": 4, "c": 4, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 51, "source_aliases": [ "POLISCI 330" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 330", "course_uid": "course_cbca93af10669141bf015ca5", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Rikhil Bhavnani" ], "a": 20, "ab": 24, "b": 33, "bc": 12, "c": 10, "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": 100, "source_aliases": [ "POLISCI 330" ] } ] ``` ### statistics #### gpa 3.177 #### graded 150 #### counts * 30 * 43 * 46 * 16 * 14 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_cbca93af10669141bf015ca5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_cbca93af10669141bf015ca5-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_cbca93af10669141bf015ca5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_cbca93af10669141bf015ca5-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_cbca93af10669141bf015ca5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_cbca93af10669141bf015ca5-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_cbca93af10669141bf015ca5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_cbca93af10669141bf015ca5-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.1766666666666667 #### count 150 #### university ##### size 1653 ##### gpa Percentile 13 ##### count Percentile 71 ##### median Count 82 ##### 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 | 8 | false | | 2.8–3.2 | 225 | true | | 3.2–3.6 | 525 | false | | 3.6–4.0 | 895 | false | #### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 40, "gpaPercentile": 10, "countPercentile": 77, "medianCount": 99, "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": 21, "current": false }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` ### terms #### 1182 ##### term 1182 ##### gpa 3.27 ##### count 50 ##### university ###### size 1025 ###### gpa Percentile 29 ###### count Percentile 32 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 27, "gpaPercentile": 27, "countPercentile": 42, "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": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.13 ##### count 100 ##### university ###### size 1111 ###### gpa Percentile 10 ###### count Percentile 67 ###### 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 | true | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 29, "gpaPercentile": 0, "countPercentile": 61, "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": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 1653 ###### gpa 3.588990048710623 ###### top Share 77.64975611711347 ###### count 82 ##### POLISCI ###### size 40 ###### gpa 3.4894119191382975 ###### top Share 73.6190405622837 ###### count 99 #### 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 ##### 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 ## instructor Trends ```json [ { "uid": "instructor_e3916314df950c47609f5f3b", "name": "RIKHIL BHAVNANI", "count": 150, "terms": [ { "term": "1182", "count": 50, "sections": 1, "gpa": 3.27 }, { "term": "1212", "count": 100, "sections": 1, "gpa": 3.13 } ] } ] ``` ## following None recorded.