# CNSRSCI 561: Consumer Engagement Strategies | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CNSRSCI_561) ## 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 21f12b8813a28ca0ee93e1f56b5187f7488f8f92d10584d43a4a71c9e327ca27 ### course id CNSRSCI 561 ### course uid course\_8a5a79a34979a891b2ea7d5b ### catalog version id e45d05312312e5f6e7cd96950e70063fbfc35b1af6ea23db636bee812c126090 ### course number 561 ### subjects * CNSRSCI ### title CONSUMER ENGAGEMENT STRATEGIES ### description Exploring applications of consumer behavior and insights in developing strategies for consumer engagement. ### requirements text CNSR SCI 201and357(or CNSR SCI 657 prior to Fall 2026) ### credits min 3 ### credits max 3 ### credit offering ids * 1272:271:004647 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id d91d3024592ffdd0a90f77056a4d6ed7c520f2a8e9689a45c00a95c986c49675 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary CNSRSCI 561 explores consumer behavior applications to develop engagement strategies. ### llm topics * Consumer behavior and insights * Consumer engagement strategies ### llm skills * Developing consumer engagement strategies ### llm assumed background * Quantitative data analysis and consumer psychology ### llm search phrases * consumer engagement strategies * consumer behavior applications * consumer insights quantitative * consumer psychology social ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 8b9eed0475636ebcb5e612f30de38943e9bca3fcbd65e353aa9dc61831e42b3b #### course id CNSRSCI 561 #### current instructors ```json [ { "instructor_uid": "instructor_f4493478984bdbb44ce2647d", "message": "No course-specific reviews available", "name": "Abigail Antesana", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_3ca0b11edca802951ed8672b", "message": "No course-specific reviews available", "name": "Patricia Sigler", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.89 GPA, 96.4% A/AB (n=55 letter grades); Fall 2025: 3.82 GPA, 94.1% A/AB (n=119 letter grades); Spring 2026: 3.86 GPA, 92.7% A/AB (n=55 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_fbee16e831b45e03a2df1535", "message": "No course-specific reviews available", "name": "Robert Bowhan", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2025: 3.89 GPA, 96.4% A/AB (n=55 letter grades); Fall 2025: 3.82 GPA, 94.1% A/AB (n=119 letter grades); Spring 2026: 3.86 GPA, 92.7% A/AB (n=55 letter grades). ```json { "citations": [ { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history PATRICIA SIGLER is recorded teaching in Spring 2018, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 561", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "source_record": { "entity_id": "feb14aef-3946-3a3e-964d-cdea632d941a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "node_1", "node_2" ], "condition": null, "course": null, "evidence": "CNSR SCI 201and357(or CNSR SCI 657 prior to Fall 2026)", "id": "root", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 201, "minimum_grade": null, "subjects": [ "CNSRSCI" ], "timing": "prior" }, "evidence": "CNSR SCI 201", "id": "node_1", "kind": "course" }, { "children": [ "node_3", "node_4" ], "condition": null, "course": null, "evidence": "357(or CNSR SCI 657 prior to Fall 2026)", "id": "node_2", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 357, "minimum_grade": null, "subjects": [ "CNSRSCI" ], "timing": "prior" }, "evidence": "357", "id": "node_3", "kind": "course" }, { "children": [], "condition": "CNSR SCI 657 prior to Fall 2026", "course": null, "evidence": "CNSR SCI 657 prior to Fall 2026", "id": "node_4", "kind": "condition" } ] ``` #### notes * CNSR SCI 657 is not in linked\_courses; treated as condition. Typo '201and357' interpreted as '201 and 357'. #### root root #### status needs\_review ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ---------------- | ------------------ | -------------------------------- | -------------------------------- | ------------------------------ | | instructor\_f4493478984bdbb44ce2647d | enrollment | antesana | netid | source\_identified | Abigail Antesana | ANTESANA\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/ABIGAIL\_ANTESANA | | instructor\_3ca0b11edca802951ed8672b | enrollment | psigler | netid | source\_identified | Patricia Sigler | PSIGLER\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/PATRICIA\_SIGLER | | instructor\_fbee16e831b45e03a2df1535 | enrollment | rsbowhan | netid | source\_identified | Robert Bowhan | RSBOWHAN\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/ROBERT\_BOWHAN | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:271:004647", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1272", "source_course_id": "004647", "source_subject_id": "271", "title": "Consumer Engagement Strategies", "credits_min": 3, "credits_max": 3, "typically_offered": "Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:19383", "term_id": "1272", "source_section_id": "19383", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 60, "enrolled": 60, "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:1272:29142", "term_id": "1272", "source_section_id": "29142", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 60, "enrolled": 33, "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_f7e9fbecfe599b25bd07a517", "source": "madgrades", "source_instructor_id": "631912", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SAMUEL VEIT", "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": 3.719, "graded": 3456, "counts": [ 2306, 640, 335, 95, 70, 6, 4 ], "sections": 57 }, "instructor_url": "/instructors/SAMUEL_VEIT--instructor_f7e9fbecfe599b25bd07a517" }, { "instructor_uid": "instructor_d78d15d1f33f03a2797f7ef0", "source": "madgrades", "source_instructor_id": "4843335", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PAUL GIBLER", "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": 4, "quality": 2, "difficulty": 2.75, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:1494022", "source_url": "https://www.ratemyprofessors.com/professor/1494022", "match_basis": "exact_name", "observed_at": "2026-09-07 16:12:29.339052+00:00", "courses": { "course_d68ae7a2fa68407d62f2519f": { "review_count": 1, "quality": 2, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.3830714862888294, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.663, "graded": 153, "counts": [ 80, 53, 16, 2, 1, 0, 1 ], "sections": 5 }, "instructor_url": "/instructors/PAUL_GIBLER--instructor_d78d15d1f33f03a2797f7ef0" }, { "instructor_uid": "instructor_ff822a6393c584c017a64ab9", "source": "madgrades", "source_instructor_id": "4744351", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANNA MCALISTER", "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": 2, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:1724759", "source_url": "https://www.ratemyprofessors.com/professor/1724759", "match_basis": "exact_name", "observed_at": "2026-09-07 16:54:49.024606+00:00", "courses": {}, "bayesian_quality": 3.7235102700443767, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.312, "graded": 263, "counts": [ 58, 107, 56, 33, 6, 2, 1 ], "sections": 5 }, "instructor_url": "/instructors/ANNA_MCALISTER--instructor_ff822a6393c584c017a64ab9" }, { "instructor_uid": "instructor_0528d1d144df225fe51d3519", "source": "madgrades", "source_instructor_id": "4697293", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DEE WARMATH", "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": 11, "quality": 4, "difficulty": 2.55, "quality_count": 11, "difficulty_count": 11, "profile_id": "rmp:1821069", "source_url": "https://www.ratemyprofessors.com/professor/1821069", "match_basis": "exact_name", "observed_at": "2026-09-07 16:44:01.490798+00:00", "courses": {}, "bayesian_quality": 3.7804424409978035, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.418, "graded": 631, "counts": [ 165, 267, 146, 42, 9, 1, 1 ], "sections": 26 }, "instructor_url": "/instructors/DEE_WARMATH" }, { "instructor_uid": "instructor_876e929a9ae846b785e48ae5", "source": "madgrades", "source_instructor_id": "3012172", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BJORN BERG", "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": 3.704, "graded": 243, "counts": [ 135, 82, 18, 6, 2, 0, 0 ], "sections": 5 }, "instructor_url": "/instructors/BJORN_BERG" }, { "instructor_uid": "instructor_02b717bc90cf7826f7a66079", "source": "madgrades", "source_instructor_id": "4874607", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TAYLER NOWAK", "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": 3.527, "graded": 311, "counts": [ 113, 133, 38, 23, 4, 0, 0 ], "sections": 6 }, "instructor_url": "/instructors/TAYLER_NOWAK" }, { "instructor_uid": "instructor_dcc1a85d04f35e1240ed8a6d", "source": "madgrades", "source_instructor_id": "540869", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PATRICIA SIGLER", "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": 3.745, "graded": 2058, "counts": [ 1424, 396, 131, 64, 31, 11, 1 ], "sections": 34 }, "instructor_url": "/instructors/PATRICIA_SIGLER--instructor_dcc1a85d04f35e1240ed8a6d" }, { "instructor_uid": "instructor_2b099f05c095a66894c0b22b", "source": "madgrades", "source_instructor_id": "6286770", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JUNG MIN PARK", "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": 3.595, "graded": 37, "counts": [ 20, 10, 4, 0, 3, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/JUNG_MIN_PARK" }, { "instructor_uid": "instructor_7b4c18b95922ae575d3f9f1d", "source": "madgrades", "source_instructor_id": "5411077", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LISA HAMANT", "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": 3.595, "graded": 37, "counts": [ 20, 10, 4, 0, 3, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/LISA_HAMANT" }, { "instructor_uid": "instructor_75a2d8e2e8dfc2bde2eb44b0", "source": "madgrades", "source_instructor_id": "6377779", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HALEY PADFIELD", "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": 3.77, "graded": 135, "counts": [ 99, 20, 9, 4, 3, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/HALEY_PADFIELD" }, { "instructor_uid": "instructor_c5950519dfe9a3b2baa9ef5e", "source": "madgrades", "source_instructor_id": "6487381", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JUAN ACOSTA", "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": 132, "counts": [ 93, 21, 10, 7, 1, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/JUAN_ACOSTA--instructor_c5950519dfe9a3b2baa9ef5e" }, { "instructor_uid": "instructor_808dda0156d2898af107f9f2", "source": "madgrades", "source_instructor_id": "6563670", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JILL HUIZENGA", "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": 3.735, "graded": 202, "counts": [ 139, 37, 13, 8, 5, 0, 0 ], "sections": 4 }, "instructor_url": "/instructors/JILL_HUIZENGA--instructor_808dda0156d2898af107f9f2" }, { "instructor_uid": "instructor_919d68c5a7aa539afb3d792c", "source": "madgrades", "source_instructor_id": "5006623", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PHILLIP GLAPA", "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": 3.92, "graded": 119, "counts": [ 103, 13, 3, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/PHILLIP_GLAPA--instructor_919d68c5a7aa539afb3d792c" }, { "instructor_uid": "instructor_5e09c1a7645467138593867a", "source": "madgrades", "source_instructor_id": "4762280", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KAYLA SIPPL", "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": 636, "counts": [ 486, 78, 40, 13, 11, 7, 1 ], "sections": 5 }, "instructor_url": "/instructors/KAYLA_SIPPL--instructor_5e09c1a7645467138593867a" }, { "instructor_uid": "instructor_3ca0b11edca802951ed8672b", "source": "enrollment", "source_instructor_id": "psigler", "identity_basis": "netid", "identity_status": "source_identified", "name": "Patricia Sigler", "email": "PSIGLER@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/PATRICIA_SIGLER" }, { "instructor_uid": "instructor_f4493478984bdbb44ce2647d", "source": "enrollment", "source_instructor_id": "antesana", "identity_basis": "netid", "identity_status": "source_identified", "name": "Abigail Antesana", "email": "ANTESANA@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/ABIGAIL_ANTESANA" }, { "instructor_uid": "instructor_fbee16e831b45e03a2df1535", "source": "enrollment", "source_instructor_id": "rsbowhan", "identity_basis": "netid", "identity_status": "source_identified", "name": "Robert Bowhan", "email": "RSBOWHAN@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/ROBERT_BOWHAN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "SAMUEL VEIT" ], "a": 47, "ab": 5, "b": 3, "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": 56, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "SAMUEL VEIT" ], "a": 36, "ab": 6, "b": 5, "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": 48, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "SAMUEL VEIT" ], "a": 37, "ab": 7, "b": 5, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 49, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "SAMUEL VEIT" ], "a": 28, "ab": 14, "b": 5, "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": 48, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "PAUL GIBLER" ], "a": 26, "ab": 11, "b": 0, "bc": 1, "c": 1, "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": 40, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "ANNA MCALISTER" ], "a": 6, "ab": 24, "b": 7, "bc": 9, "c": 0, "d": 1, "f": 0, "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": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "DEE WARMATH" ], "a": 0, "ab": 20, "b": 9, "bc": 7, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "DEE WARMATH" ], "a": 7, "ab": 11, "b": 8, "bc": 0, "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": 28, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "BJORN BERG" ], "a": 26, "ab": 14, "b": 3, "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": 44, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Patricia Sigler", "TAYLER NOWAK" ], "a": 29, "ab": 18, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Patricia Sigler" ], "a": 27, "ab": 13, "b": 5, "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": 45, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "BJORN BERG" ], "a": 17, "ab": 12, "b": 3, "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": 33, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "BJORN BERG", "Patricia Sigler" ], "a": 28, "ab": 15, "b": 0, "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": 44, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "BJORN BERG" ], "a": 33, "ab": 14, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Patricia Sigler" ], "a": 32, "ab": 6, "b": 4, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Patricia Sigler" ], "a": 30, "ab": 7, "b": 1, "bc": 4, "c": 0, "d": 1, "f": 0, "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": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "JUNG MIN PARK", "LISA HAMANT", "Patricia Sigler" ], "a": 20, "ab": 10, "b": 4, "bc": 0, "c": 3, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "HALEY PADFIELD", "Patricia Sigler" ], "a": 29, "ab": 6, "b": 4, "bc": 3, "c": 3, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 45, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "HALEY PADFIELD", "Patricia Sigler" ], "a": 37, "ab": 10, "b": 4, "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": 52, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "JUAN ACOSTA", "Patricia Sigler" ], "a": 51, "ab": 7, "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": 60, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "JILL HUIZENGA", "JUAN ACOSTA", "Patricia Sigler" ], "a": 42, "ab": 14, "b": 8, "bc": 7, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 72, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "PHILLIP GLAPA", "Patricia Sigler" ], "a": 103, "ab": 13, "b": 3, "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": 119, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Patricia Sigler" ], "a": 48, "ab": 5, "b": 0, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 55, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "KAYLA SIPPL", "Patricia Sigler" ], "a": 85, "ab": 27, "b": 4, "bc": 3, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 120, "source_aliases": [ "CNSRSCI 561" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 561", "course_uid": "course_8a5a79a34979a891b2ea7d5b", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "KAYLA SIPPL", "Patricia Sigler" ], "a": 45, "ab": 6, "b": 3, "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": 55, "source_aliases": [ "CNSRSCI 561" ] } ] ``` ### statistics #### gpa 3.741 #### graded 1313 #### counts * 869 * 295 * 90 * 42 * 13 * 2 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_8a5a79a34979a891b2ea7d5b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_8a5a79a34979a891b2ea7d5b-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_8a5a79a34979a891b2ea7d5b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_8a5a79a34979a891b2ea7d5b-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_8a5a79a34979a891b2ea7d5b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_8a5a79a34979a891b2ea7d5b-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_8a5a79a34979a891b2ea7d5b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_8a5a79a34979a891b2ea7d5b-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7406702208682407 #### count 1313 #### university ##### size 5497 ##### gpa Percentile 50 ##### count Percentile 90 ##### median Count 186 ##### 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 | 9 | false | | 2.8–3.2 | 318 | false | | 3.2–3.6 | 1449 | false | | 3.6–4.0 | 3721 | true | #### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 33, "gpaPercentile": 69, "countPercentile": 66, "medianCount": 907, "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": 10, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.875 ##### count 56 ##### university ###### size 723 ###### gpa Percentile 90 ###### count Percentile 41 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 62 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 306 | false | | 3.6–4.0 | 180 | true | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1082 ##### term 1082 ##### gpa 3.75 ##### count 48 ##### university ###### size 723 ###### gpa Percentile 81 ###### count Percentile 31 ###### 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 | | ------- | ---------- | | CNSRSCI | | #### 1092 ##### term 1092 ##### gpa 3.826530612244898 ##### count 49 ##### university ###### size 732 ###### gpa Percentile 85 ###### count Percentile 29 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 41 | false | | 2.8–3.2 | 208 | false | | 3.2–3.6 | 271 | false | | 3.6–4.0 | 211 | true | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1102 ##### term 1102 ##### gpa 3.71875 ##### count 48 ##### university ###### size 774 ###### gpa Percentile 80 ###### count Percentile 32 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | true | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1112 ##### term 1112 ##### gpa 3.675 ##### count 40 ##### university ###### size 805 ###### gpa Percentile 77 ###### count Percentile 21 ###### 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 | 45 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | true | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1122 ##### term 1122 ##### gpa 3.24468085106383 ##### count 47 ##### university ###### size 804 ###### gpa Percentile 38 ###### count Percentile 30 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 282 | true | | 3.6–4.0 | 248 | false | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1134 ##### term 1134 ##### gpa 3.1486486486486487 ##### count 37 ##### university ###### size 852 ###### gpa Percentile 26 ###### count Percentile 15 ###### 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 | true | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | false | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1144 ##### term 1144 ##### gpa 3.375 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1174 ##### term 1174 ##### gpa 3.7386363636363638 ##### count 44 ##### university ###### size 955 ###### gpa Percentile 73 ###### count Percentile 25 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | true | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 14, "gpaPercentile": 69, "countPercentile": 8, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.8085106382978724 ##### count 47 ##### university ###### size 1010 ###### gpa Percentile 79 ###### count Percentile 30 ###### 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": "CNSRSCI", "comparison": { "size": 17, "gpaPercentile": 88, "countPercentile": 25, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.7444444444444445 ##### count 45 ##### university ###### size 1077 ###### gpa Percentile 71 ###### count Percentile 28 ###### 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": "CNSRSCI", "comparison": { "size": 18, "gpaPercentile": 76, "countPercentile": 29, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.6818181818181817 ##### count 33 ##### university ###### size 1040 ###### gpa Percentile 64 ###### count Percentile 6 ###### 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": "CNSRSCI", "comparison": { "size": 17, "gpaPercentile": 69, "countPercentile": 0, "medianCount": 71, "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": 8, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.7954545454545454 ##### count 44 ##### university ###### size 1102 ###### gpa Percentile 75 ###### count Percentile 28 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | true | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 17, "gpaPercentile": 94, "countPercentile": 6, "medianCount": 78, "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": 7, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.851063829787234 ##### count 47 ##### university ###### size 1012 ###### gpa Percentile 65 ###### count Percentile 33 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 17, "gpaPercentile": 69, "countPercentile": 25, "medianCount": 71, "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": 2, "current": false }, { "range": "3.6–4.0", "count": 15, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.7906976744186047 ##### count 43 ##### university ###### size 1111 ###### gpa Percentile 68 ###### 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": "CNSRSCI", "comparison": { "size": 18, "gpaPercentile": 76, "countPercentile": 18, "medianCount": 84, "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": 5, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.686046511627907 ##### count 43 ##### university ###### size 1157 ###### gpa Percentile 56 ###### count Percentile 27 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | true | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 21, "gpaPercentile": 50, "countPercentile": 10, "medianCount": 58, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.5945945945945947 ##### count 37 ##### university ###### size 1171 ###### gpa Percentile 47 ###### count Percentile 16 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 20, "gpaPercentile": 58, "countPercentile": 5, "medianCount": 70.5, "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": 11, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.611111111111111 ##### count 45 ##### university ###### size 1216 ###### gpa Percentile 46 ###### 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 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 20, "gpaPercentile": 42, "countPercentile": 16, "medianCount": 90.5, "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": 5, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.798076923076923 ##### count 52 ##### university ###### size 1188 ###### gpa Percentile 69 ###### count Percentile 38 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | false | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | true | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 19, "gpaPercentile": 89, "countPercentile": 11, "medianCount": 117, "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": 5, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.908333333333333 ##### count 60 ##### university ###### size 1295 ###### gpa Percentile 82 ###### count Percentile 45 ###### 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": "CNSRSCI", "comparison": { "size": 21, "gpaPercentile": 90, "countPercentile": 25, "medianCount": 117, "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": 4, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.6180555555555554 ##### count 72 ##### university ###### size 1241 ###### gpa Percentile 45 ###### count Percentile 55 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 23, "gpaPercentile": 45, "countPercentile": 32, "medianCount": 104, "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": 8, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.9201680672268906 ##### count 119 ##### university ###### size 1333 ###### gpa Percentile 84 ###### count Percentile 73 ###### 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": "CNSRSCI", "comparison": { "size": 23, "gpaPercentile": 95, "countPercentile": 59, "medianCount": 104, "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": 4, "current": false }, { "range": "3.6–4.0", "count": 18, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.890909090909091 ##### count 55 ##### university ###### size 1289 ###### gpa Percentile 80 ###### count Percentile 41 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 23, "gpaPercentile": 100, "countPercentile": 18, "medianCount": 90, "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": 7, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.8151260504201683 ##### count 119 ##### university ###### size 1320 ###### gpa Percentile 66 ###### count Percentile 72 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 21, "gpaPercentile": 80, "countPercentile": 55, "medianCount": 118, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.8636363636363638 ##### count 55 ##### university ###### size 1283 ###### gpa Percentile 73 ###### count Percentile 40 ###### 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": "CNSRSCI", "comparison": { "size": 22, "gpaPercentile": 95, "countPercentile": 24, "medianCount": 105, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5497 ###### gpa 3.683247631174287 ###### top Share 83.27848651158432 ###### count 186 ##### CNSRSCI ###### size 33 ###### gpa 3.634262289588321 ###### top Share 81.99132841837816 ###### count 907 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### CNSRSCI ###### size 14 ###### gpa 3.5088714082159456 ###### top Share 72.6770801501247 ###### count 69 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### CNSRSCI ###### size 17 ###### gpa 3.5513839958204554 ###### top Share 76.70287623872456 ###### count 73 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### CNSRSCI ###### size 18 ###### gpa 3.4921746087581855 ###### top Share 74.01951479564612 ###### count 55 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### CNSRSCI ###### size 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###### count 66 ###### CNSRSCI ###### size 22 ###### gpa 3.51605863991461 ###### top Share 75.92309209656172 ###### count 105 ## instructor Trends ```json [ { "uid": "instructor_dcc1a85d04f35e1240ed8a6d", "name": "PATRICIA SIGLER", "count": 793, "terms": [ { "term": "1184", "count": 47, "sections": 1, "gpa": 3.8085106382978724 }, { "term": "1192", "count": 45, "sections": 1, "gpa": 3.7444444444444445 }, { "term": "1202", "count": 44, "sections": 1, "gpa": 3.7954545454545454 }, { "term": "1212", "count": 43, "sections": 1, "gpa": 3.7906976744186047 }, { "term": "1222", "count": 43, "sections": 1, "gpa": 3.686046511627907 }, { "term": "1224", "count": 37, "sections": 1, "gpa": 3.5945945945945947 }, { "term": "1232", "count": 45, "sections": 1, "gpa": 3.611111111111111 }, { "term": "1234", "count": 52, "sections": 1, "gpa": 3.798076923076923 }, { "term": "1242", "count": 60, "sections": 1, "gpa": 3.908333333333333 }, { "term": "1244", "count": 29, "sections": 1, "gpa": 3.793103448275862 }, { "term": "1252", "count": 119, "sections": 2, "gpa": 3.9201680672268906 }, { "term": "1254", "count": 55, "sections": 1, "gpa": 3.890909090909091 }, { "term": "1262", "count": 119, "sections": 2, "gpa": 3.8151260504201683 }, { "term": "1264", "count": 55, "sections": 1, "gpa": 3.8636363636363638 } ] }, { "uid": "instructor_f7e9fbecfe599b25bd07a517", "name": "SAMUEL VEIT", "count": 201, "terms": [ { "term": "1072", "count": 56, "sections": 1, "gpa": 3.875 }, { "term": "1082", "count": 48, "sections": 1, "gpa": 3.75 }, { "term": "1092", "count": 49, "sections": 1, "gpa": 3.826530612244898 }, { "term": "1102", "count": 48, "sections": 1, "gpa": 3.71875 } ] }, { "uid": "instructor_5e09c1a7645467138593867a", "name": "KAYLA SIPPL", "count": 174, "terms": [ { "term": "1262", "count": 119, "sections": 2, "gpa": 3.8151260504201683 }, { "term": "1264", "count": 55, "sections": 1, "gpa": 3.8636363636363638 } ] }, { "uid": "instructor_876e929a9ae846b785e48ae5", "name": "BJORN BERG", "count": 168, "terms": [ { "term": "1174", "count": 44, "sections": 1, "gpa": 3.7386363636363638 }, { "term": "1194", "count": 33, "sections": 1, "gpa": 3.6818181818181817 }, { "term": "1202", "count": 44, "sections": 1, "gpa": 3.7954545454545454 }, { "term": "1204", "count": 47, "sections": 1, "gpa": 3.851063829787234 } ] }, { "uid": "instructor_c5950519dfe9a3b2baa9ef5e", "name": "JUAN ACOSTA", "count": 132, "terms": [ { "term": "1242", "count": 60, "sections": 1, "gpa": 3.908333333333333 }, { "term": "1244", "count": 72, "sections": 2, "gpa": 3.6180555555555554 } ] }, { "uid": "instructor_919d68c5a7aa539afb3d792c", "name": "PHILLIP GLAPA", "count": 119, "terms": [ { "term": "1252", "count": 119, "sections": 2, "gpa": 3.9201680672268906 } ] }, { "uid": "instructor_75a2d8e2e8dfc2bde2eb44b0", "name": "HALEY PADFIELD", "count": 97, "terms": [ { "term": "1232", "count": 45, "sections": 1, "gpa": 3.611111111111111 }, { "term": "1234", "count": 52, "sections": 1, "gpa": 3.798076923076923 } ] }, { "uid": "instructor_0528d1d144df225fe51d3519", "name": "DEE WARMATH", "count": 65, "terms": [ { "term": "1134", "count": 37, "sections": 1, "gpa": 3.1486486486486487 }, { "term": "1144", "count": 28, "sections": 1, "gpa": 3.375 } ] }, { "uid": "instructor_02b717bc90cf7826f7a66079", "name": "TAYLER NOWAK", "count": 47, "terms": [ { "term": "1184", "count": 47, "sections": 1, "gpa": 3.8085106382978724 } ] }, { "uid": "instructor_ff822a6393c584c017a64ab9", "name": "ANNA MCALISTER", "count": 47, "terms": [ { "term": "1122", "count": 47, "sections": 1, "gpa": 3.24468085106383 } ] }, { "uid": "instructor_808dda0156d2898af107f9f2", "name": "JILL HUIZENGA", "count": 43, "terms": [ { "term": "1244", "count": 43, "sections": 1, "gpa": 3.5 } ] }, { "uid": "instructor_d78d15d1f33f03a2797f7ef0", "name": "PAUL GIBLER", "count": 40, "terms": [ { "term": "1112", "count": 40, "sections": 1, "gpa": 3.675 } ] }, { "uid": "instructor_2b099f05c095a66894c0b22b", "name": "JUNG MIN PARK", "count": 37, "terms": [ { "term": "1224", "count": 37, "sections": 1, "gpa": 3.5945945945945947 } ] }, { "uid": "instructor_7b4c18b95922ae575d3f9f1d", "name": "LISA HAMANT", "count": 37, "terms": [ { "term": "1224", "count": 37, "sections": 1, "gpa": 3.5945945945945947 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.3 #### upper 4 #### coverage 80 #### terms 6 ### gpa 3.811068353637164 ### grades | grade | percentage | | ----- | ------------------ | | A | 76.34595688040369 | | AB | 15.584784548622366 | | B | 3.8717140184684466 | | BC | 2.8987905446317863 | | C | 1.0153894970648898 | | D | 0.2833645108088064 | | F | 0 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 386 ### same Season true ### historical Range * 3.611111111111111 * 3.920168067226891 ### backtest #### terms 6 #### gpa Error 0.16490884521440022 #### mix Error 22.554612504199202