# RP\&SE 330: Behavior Analysis: Applications to Persons with Disabilities | UW–Madison [View on UW Courses](https://uwcourses.com/courses/RP%26SE_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 5dd657a0f9c5ab634b02fee3329b8d882508c8ee1e2aa1e43fd409c9c9e7d574 ### course id RP\&SE 330 ### course uid course\_0d47dfc7ca0d8777a2334e0a ### catalog version id 21bbd0d6824498c0795e58b4e7d9c6d0589912d9a9214f79d967bacc1f2f656a ### course number 330 ### subjects * RP\&SE ### title BEHAVIOR ANALYSIS: APPLICATIONS TO PERSONS WITH DISABILITIES ### description Children with exceptional learning and behavior characteristics (contrasting views and practices); a humanistic behavioral approach; development and evaluation of behavior change programs, classification and foundations of exceptional learning and behavior characteristics, and facilitating behavior change in different settings. ### requirements text RP & SE 300and declared in Rehabilitation Psychology, Special Education, Disability Rights and Services Certificate, Special Education MS or classified as Pre-Rehabilitation Psychology or Pre-Special Education ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 03104a791c6399250d4731d34ab5f1f805e29b29733f30c413ee9f5a6ef1dce1 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Applies a humanistic behavioral approach to understand exceptional learning and behavior characteristics and develop behavior change programs for children with disabilities. ### llm topics * Exceptional learning and behavior characteristics. * Classification and foundations of exceptional learning and behavior characteristics. * Contrasting views and practices in special education/behavior analysis. ### llm skills * Development and evaluation of behavior change programs. * Facilitating behavior change in different settings. ### llm assumed background * Foundational knowledge of disability, special education, and the history/characteristics of specific disability categories. ### llm search phrases * behavior analysis disabilities * behavior change programs special education * humanistic behavioral approach children * RP\&SE 330 behavior analysis ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash f175aa65626ddcf9bbbc75808f597f6f22cb9e57ca95462fff41efdd97003808 #### course id RP\&SE 330 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Fall 2022: 3.92 GPA, 96.9% A/AB (n=64 letter grades); Fall 2023: 3.87 GPA, 94.7% A/AB (n=38 letter grades); Fall 2024: 3.89 GPA, 100.0% A/AB (n=32 letter grades). ```json { "citations": [ { "course_id": "RP&SE 330", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "acfda6de-a986-3d16-9396-d3f320801ea5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "RP&SE 330", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "acfda6de-a986-3d16-9396-d3f320801ea5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "RP&SE 330", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "acfda6de-a986-3d16-9396-d3f320801ea5", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3", "n4", "n5" ], "condition": null, "course": null, "evidence": "RP & SE 300and declared in Rehabilitation Psychology, Special Education, Disability Rights and Services Certificate, Special Education MS or classified as Pre-Rehabilitation Psychology or Pre-Special Education", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "RP&SE" ], "timing": "prior" }, "evidence": "RP & SE 300", "id": "n1", "kind": "course" }, { "children": [], "condition": "declared in Rehabilitation Psychology", "course": null, "evidence": "declared in Rehabilitation Psychology", "id": "n2", "kind": "condition" }, { "children": [], "condition": "Special Education", "course": null, "evidence": "Special Education", "id": "n3", "kind": "condition" }, { "children": [], "condition": "Disability Rights and Services Certificate", "course": null, "evidence": "Disability Rights and Services Certificate", "id": "n4", "kind": "condition" }, { "children": [], "condition": "Special Education MS", "course": null, "evidence": "Special Education MS", "id": "n5", "kind": "condition" } ] ``` #### notes * The text 'RP & SE 300and' contains a typo for 'RP & SE 300 and'. * Conditions are set to verbatim source substrings to satisfy validation. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_15de05ff3190d1aa69863a38", "source": "madgrades", "source_instructor_id": "845066", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ERIK CARTER", "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": 3.839, "graded": 112, "counts": [ 85, 21, 4, 1, 1, 0, 0 ], "sections": 28 }, "instructor_url": "/instructors/ERIK_CARTER" }, { "instructor_uid": "instructor_f020eb5bca110f7e8cb631a3", "source": "madgrades", "source_instructor_id": "952021", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LANA LEE COLLET-KLINGENBERG", "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": 3.887, "graded": 97, "counts": [ 80, 13, 3, 1, 0, 0, 0 ], "sections": 8 }, "instructor_url": "/instructors/LANA_LEE_COLLET-KLINGENBERG--instructor_f020eb5bca110f7e8cb631a3" }, { "instructor_uid": "instructor_b3d13a3c1a324f653a69239f", "source": "madgrades", "source_instructor_id": "1069858", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROBYN ALLEN-DEBOER", "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": 3.918, "graded": 104, "counts": [ 90, 12, 1, 1, 0, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/ROBYN_ALLEN-DEBOER--instructor_b3d13a3c1a324f653a69239f" }, { "instructor_uid": "instructor_da2a46d95ab7deb7963d88c6", "source": "madgrades", "source_instructor_id": "4613857", "identity_basis": "source_id", "identity_status": "source_identified", "name": "WENDY MACHALICEK", "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": 3.843, "graded": 118, "counts": [ 88, 25, 3, 2, 0, 0, 0 ], "sections": 10 }, "instructor_url": "/instructors/WENDY_MACHALICEK--instructor_da2a46d95ab7deb7963d88c6" }, { "instructor_uid": "instructor_a533b796ffc3b6696a2f7f34", "source": "madgrades", "source_instructor_id": "3026159", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ELLIE HARTMAN", "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": 3.75, "graded": 30, "counts": [ 16, 13, 1, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/ELLIE_HARTMAN--instructor_a533b796ffc3b6696a2f7f34" }, { "instructor_uid": "instructor_25272deec02c2b0d99d1f9a6", "source": "madgrades", "source_instructor_id": "5099437", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANDREA RUPPAR", "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": 3.872, "graded": 1229, "counts": [ 1057, 100, 39, 15, 11, 4, 3 ], "sections": 108 }, "instructor_url": "/instructors/ANDREA_RUPPAR--instructor_25272deec02c2b0d99d1f9a6" }, { "instructor_uid": "instructor_1607b2ae56873e75045ac191", "source": "madgrades", "source_instructor_id": "4708535", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SUNYOUNG KIM", "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": 3.991, "graded": 53, "counts": [ 52, 1, 0, 0, 0, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/SUNYOUNG_KIM" }, { "instructor_uid": "instructor_9fc6ff6b4b13ee9c74e7ac49", "source": "madgrades", "source_instructor_id": "5355247", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LINGYU LI", "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": 3.897, "graded": 403, "counts": [ 358, 24, 13, 3, 4, 0, 1 ], "sections": 12 }, "instructor_url": "/instructors/LINGYU_LI--instructor_9fc6ff6b4b13ee9c74e7ac49" }, { "instructor_uid": "instructor_d123ac97d9981f93d467e315", "source": "madgrades", "source_instructor_id": "5174558", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHE AN", "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": 3.845, "graded": 516, "counts": [ 426, 60, 12, 10, 4, 1, 3 ], "sections": 38 }, "instructor_url": "/instructors/ZHE_AN--instructor_d123ac97d9981f93d467e315" }, { "instructor_uid": "instructor_f6b8ad9188c770d6dca3fece", "source": "madgrades", "source_instructor_id": "6212181", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHWETA CHANDRASHEKHAR", "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": 3.898, "graded": 969, "counts": [ 856, 71, 27, 6, 3, 3, 3 ], "sections": 29 }, "instructor_url": "/instructors/SHWETA_CHANDRASHEKHAR--instructor_f6b8ad9188c770d6dca3fece" }, { "instructor_uid": "instructor_a6533e393a8b14e034aeeb50", "source": "madgrades", "source_instructor_id": "6372033", "identity_basis": "source_id", "identity_status": "source_identified", "name": "EMINE KILINCCI", "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": 3.864, "graded": 511, "counts": [ 444, 26, 25, 7, 7, 1, 1 ], "sections": 12 }, "instructor_url": "/instructors/EMINE_KILINCCI--instructor_a6533e393a8b14e034aeeb50" }, { "instructor_uid": "instructor_1ba34dcd3af7ea8678cac258", "source": "madgrades", "source_instructor_id": "5332309", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RUI DAI", "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": 3.903, "graded": 622, "counts": [ 571, 14, 27, 1, 5, 1, 3 ], "sections": 12 }, "instructor_url": "/instructors/RUI_DAI" }, { "instructor_uid": "instructor_262d3d56353a8c841fc19247", "source": "madgrades", "source_instructor_id": "4129603", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KELLY BARD", "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": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:2979259", "source_url": "https://www.ratemyprofessors.com/professor/2979259", "match_basis": "exact_name", "observed_at": "2026-09-07 16:26:28.652021+00:00", "courses": {}, "bayesian_quality": 3.7235102700443767, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.93, "graded": 100, "counts": [ 94, 4, 1, 0, 0, 0, 1 ], "sections": 6 }, "instructor_url": "/instructors/KELLY_BARD--instructor_262d3d56353a8c841fc19247" }, { "instructor_uid": "instructor_b20b026406148eea28e883eb", "source": "madgrades", "source_instructor_id": "6464282", "identity_basis": "source_id", "identity_status": "source_identified", "name": "AMANY KHAFAGY", "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": 3.691, "graded": 131, "counts": [ 97, 18, 6, 5, 1, 0, 4 ], "sections": 6 }, "instructor_url": "/instructors/AMANY_KHAFAGY--instructor_b20b026406148eea28e883eb" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "RP&SE 330", "course_uid": "course_0d47dfc7ca0d8777a2334e0a", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "ERIK CARTER" ], "a": 16, "ab": 9, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 27, "source_aliases": [ "RP&SE 330" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "RP&SE 330", "course_uid": "course_0d47dfc7ca0d8777a2334e0a", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "LANA LEE COLLET-KLINGENBERG" ], "a": 20, "ab": 10, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 32, "source_aliases": [ "RP&SE 330" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "RP&SE 330", "course_uid": "course_0d47dfc7ca0d8777a2334e0a", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "LANA LEE COLLET-KLINGENBERG" ], "a": 28, "ab": 3, "b": 1, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, 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"course_0d47dfc7ca0d8777a2334e0a", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Kelly Bard", "RUI DAI", "Zhe An" ], "a": 57, "ab": 5, "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": 64, "source_aliases": [ "RP&SE 330" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "RP&SE 330", "course_uid": "course_0d47dfc7ca0d8777a2334e0a", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Kelly Bard", "RUI DAI" ], "a": 36, "ab": 0, "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": 38, "source_aliases": [ "RP&SE 330" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "RP&SE 330", "course_uid": "course_0d47dfc7ca0d8777a2334e0a", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "AMANY KHAFAGY", "Zhe An" ], "a": 25, "ab": 7, "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": [ "RP&SE 330" ] } ] ``` ### statistics #### gpa 3.854 #### graded 944 #### counts * 757 * 140 * 27 * 10 * 6 * 2 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_0d47dfc7ca0d8777a2334e0a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_0d47dfc7ca0d8777a2334e0a-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_0d47dfc7ca0d8777a2334e0a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_0d47dfc7ca0d8777a2334e0a-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_0d47dfc7ca0d8777a2334e0a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_0d47dfc7ca0d8777a2334e0a-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8538135593220337 #### count 944 #### university ##### size 4891 ##### gpa Percentile 71 ##### count Percentile 83 ##### median Count 218 ##### 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 | 21 | false | | 2.8–3.2 | 415 | false | | 3.2–3.6 | 1491 | false | | 3.6–4.0 | 2964 | true | #### departments ```json [ { "subject": "RP&SE", "comparison": { "size": 62, "gpaPercentile": 16, "countPercentile": 92, "medianCount": 193.5, "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": 0, "current": false }, { "range": "3.6–4.0", "count": 62, "current": true } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.759259259259259 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1074 ##### term 1074 ##### gpa 3.78125 ##### count 32 ##### university ###### size 695 ###### gpa Percentile 81 ###### 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 | 3 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | false | | 3.6–4.0 | 199 | true | ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1082 ##### term 1082 ##### gpa 3.878787878787879 ##### count 33 ##### university ###### size 723 ###### gpa Percentile 88 ###### 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 | 51 | false | | 2.8–3.2 | 202 | false | | 3.2–3.6 | 265 | false | | 3.6–4.0 | 204 | true | ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1084 ##### term 1084 ##### gpa 3.8541666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1092 ##### term 1092 ##### gpa 3.8076923076923075 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1094 ##### term 1094 ##### gpa 3.8333333333333335 ##### count 33 ##### university ###### size 758 ###### gpa Percentile 85 ###### count Percentile 7 ###### median Count 71 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 35 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | false | | 3.6–4.0 | 236 | true | ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1102 ##### term 1102 ##### gpa 3.896551724137931 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1104 ##### term 1104 ##### gpa 3.75 ##### count 30 ##### university ###### size 793 ###### gpa Percentile 79 ###### count Percentile 0 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | false | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | true | ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1112 ##### term 1112 ##### gpa 3.896551724137931 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1114 ##### term 1114 ##### gpa 3.730769230769231 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1122 ##### term 1122 ##### gpa 3.962962962962963 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1124 ##### term 1124 ##### gpa 3.9027777777777777 ##### count 36 ##### university ###### size 821 ###### gpa Percentile 88 ###### 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 | 39 | false | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | false | | 3.6–4.0 | 280 | true | ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1132 ##### term 1132 ##### gpa 3.8333333333333335 ##### count 42 ##### university ###### size 851 ###### gpa Percentile 86 ###### 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 | 40 | false | | 2.8–3.2 | 234 | false | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | true | ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1134 ##### term 1134 ##### gpa 3.9565217391304346 ##### count 46 ##### university ###### size 852 ###### gpa Percentile 92 ###### count Percentile 29 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | true | ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1142 ##### term 1142 ##### gpa 4 ##### count 30 ##### university ###### size 853 ###### gpa Percentile 97 ###### count Percentile 0 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | true | ##### departments ```json [ { "subject": "RP&SE", "comparison": { "size": 10, "gpaPercentile": 89, "countPercentile": 0, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 0, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.9125 ##### count 40 ##### university ###### size 878 ###### gpa Percentile 89 ###### count Percentile 20 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | true | ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1152 ##### term 1152 ##### gpa 3.975 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1154 ##### term 1154 ##### gpa 3.9473684210526314 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1162 ##### term 1162 ##### gpa 4 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1164 ##### term 1164 ##### gpa 3.8421052631578947 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1172 ##### term 1172 ##### gpa 3.8684210526315788 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1174 ##### term 1174 ##### gpa 3.642857142857143 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1182 ##### term 1182 ##### gpa 3.769230769230769 ##### count 39 ##### university ###### size 1025 ###### gpa Percentile 76 ###### count Percentile 15 ###### 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 | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1192 ##### term 1192 ##### gpa 3.8627450980392157 ##### count 51 ##### university ###### size 1077 ###### gpa Percentile 83 ###### count Percentile 35 ###### 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": "RP&SE", "comparison": { "size": 11, "gpaPercentile": 20, "countPercentile": 60, "medianCount": 48, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 0, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.727272727272727 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1212 ##### term 1212 ##### gpa 3.686046511627907 ##### count 43 ##### university ###### size 1111 ###### gpa Percentile 55 ###### 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 | false | | 3.6–4.0 | 611 | true | ##### departments ```json [ { "subject": "RP&SE", "comparison": { "size": 19, "gpaPercentile": 0, "countPercentile": 56, "medianCount": 42, "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": 0, "current": false }, { "range": "3.6–4.0", "count": 19, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.8035714285714284 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | RP\&SE | | #### 1232 ##### term 1232 ##### gpa 3.921875 ##### count 64 ##### university ###### size 1216 ###### gpa Percentile 85 ###### count Percentile 49 ###### 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": "RP&SE", "comparison": { "size": 16, "gpaPercentile": 40, "countPercentile": 47, "medianCount": 64.5, "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": 0, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.8684210526315788 ##### count 38 ##### university ###### size 1295 ###### gpa Percentile 76 ###### count Percentile 19 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": "RP&SE", "comparison": { "size": 18, "gpaPercentile": 24, "countPercentile": 18, "medianCount": 65.5, "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": 0, "current": false }, { "range": "3.6–4.0", "count": 18, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.890625 ##### count 32 ##### university ###### size 1333 ###### gpa Percentile 79 ###### count Percentile 5 ###### 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": "RP&SE", "comparison": { "size": 20, "gpaPercentile": 37, "countPercentile": 0, "medianCount": 64.5, "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": 0, "current": false }, { "range": "3.6–4.0", "count": 20, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4891 ###### gpa 3.6382702357812455 ###### top Share 80.528716357907 ###### count 218 ##### RP\&SE ###### size 62 ###### gpa 3.917694558691765 ###### top Share 96.6656687443437 ###### count 193.5 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### RP\&SE ###### size 10 ###### gpa 3.9016107665313386 ###### top Share 97.90082554415217 ###### count 50.5 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### RP\&SE ###### size 11 ###### gpa 3.892119571874137 ###### top Share 96.60769879318838 ###### count 48 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### RP\&SE ###### size 14 ###### gpa 3.8914888588814565 ###### top Share 95.67163317266366 ###### count 44.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### RP\&SE ###### size 19 ###### gpa 3.893877265852437 ###### top Share 95.41234482320739 ###### count 42 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### RP\&SE ###### size 14 ###### gpa 3.8891248696937324 ###### top Share 95.16478877738287 ###### count 49 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### RP\&SE ###### size 16 ###### gpa 3.8992068792557957 ###### top Share 94.67854599676198 ###### count 64.5 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### RP\&SE ###### size 18 ###### gpa 3.9160858161561123 ###### top Share 96.43873800136345 ###### count 65.5 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### RP\&SE ###### size 20 ###### gpa 3.9002471380973716 ###### top Share 95.37783819443871 ###### count 64.5 ## instructor Trends ```json [ { "uid": "instructor_25272deec02c2b0d99d1f9a6", "name": "ANDREA RUPPAR", "count": 290, "terms": [ { "term": "1132", "count": 42, "sections": 1, "gpa": 3.8333333333333335 }, { "term": "1134", "count": 22, "sections": 1, "gpa": 3.9318181818181817 }, { "term": "1142", "count": 30, "sections": 1, "gpa": 4 }, { "term": "1144", "count": 40, "sections": 1, "gpa": 3.9125 }, { "term": "1152", "count": 20, "sections": 1, "gpa": 3.975 }, { "term": "1154", "count": 19, "sections": 1, "gpa": 3.9473684210526314 }, { "term": "1162", "count": 19, "sections": 1, "gpa": 4 }, { "term": "1164", "count": 19, "sections": 1, "gpa": 3.8421052631578947 }, { "term": "1172", "count": 19, "sections": 1, "gpa": 3.8684210526315788 }, { "term": "1174", "count": 21, "sections": 1, "gpa": 3.642857142857143 }, { "term": "1182", "count": 39, "sections": 1, "gpa": 3.769230769230769 } ] }, { "uid": "instructor_d123ac97d9981f93d467e315", "name": "ZHE AN", "count": 215, "terms": [ { "term": "1192", "count": 51, "sections": 1, "gpa": 3.8627450980392157 }, { "term": "1202", "count": 22, "sections": 2, "gpa": 3.727272727272727 }, { "term": "1212", "count": 43, "sections": 1, "gpa": 3.686046511627907 }, { "term": "1222", "count": 28, "sections": 1, "gpa": 3.8035714285714284 }, { "term": "1232", "count": 39, "sections": 1, "gpa": 3.8846153846153846 }, { "term": "1252", "count": 32, "sections": 1, "gpa": 3.890625 } ] }, { "uid": "instructor_9fc6ff6b4b13ee9c74e7ac49", "name": "LINGYU LI", "count": 112, "terms": [ { "term": "1182", "count": 39, "sections": 1, "gpa": 3.769230769230769 }, { "term": "1192", "count": 51, "sections": 1, "gpa": 3.8627450980392157 }, { "term": "1202", "count": 22, "sections": 2, "gpa": 3.727272727272727 } ] }, { "uid": "instructor_1ba34dcd3af7ea8678cac258", "name": "RUI DAI", "count": 102, "terms": [ { "term": "1232", "count": 64, "sections": 2, "gpa": 3.921875 }, { "term": "1242", "count": 38, "sections": 1, "gpa": 3.8684210526315788 } ] }, { "uid": "instructor_b3d13a3c1a324f653a69239f", "name": "ROBYN ALLEN-DEBOER", "count": 87, "terms": [ { "term": "1084", "count": 24, "sections": 1, "gpa": 3.8541666666666665 }, { "term": "1122", "count": 27, "sections": 1, "gpa": 3.962962962962963 }, { "term": "1124", "count": 36, "sections": 1, "gpa": 3.9027777777777777 } ] }, { "uid": "instructor_15de05ff3190d1aa69863a38", "name": "ERIK CARTER", "count": 86, "terms": [ { "term": "1072", "count": 27, "sections": 1, "gpa": 3.759259259259259 }, { "term": "1092", "count": 26, "sections": 1, "gpa": 3.8076923076923075 }, { "term": "1094", "count": 33, "sections": 1, "gpa": 3.8333333333333335 } ] }, { "uid": "instructor_da2a46d95ab7deb7963d88c6", "name": "WENDY MACHALICEK", "count": 84, "terms": [ { "term": "1102", "count": 29, "sections": 1, "gpa": 3.896551724137931 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"instructor_a533b796ffc3b6696a2f7f34", "name": "ELLIE HARTMAN", "count": 30, "terms": [ { "term": "1104", "count": 30, "sections": 1, "gpa": 3.75 } ] }, { "uid": "instructor_a6533e393a8b14e034aeeb50", "name": "EMINE KILINCCI", "count": 28, "terms": [ { "term": "1222", "count": 28, "sections": 1, "gpa": 3.8035714285714284 } ] }, { "uid": "instructor_1607b2ae56873e75045ac191", "name": "SUNYOUNG KIM", "count": 24, "terms": [ { "term": "1134", "count": 24, "sections": 1, "gpa": 3.9791666666666665 } ] } ] ``` ## following None recorded.