# CNSRSCI 555: Consumer Strategy Consulting Practicum | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CNSRSCI_555) ## 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 4a75e1700413c53f72eb1eb4506b6a6b9e8c5de02f1ae50656965375f4de1ee0 ### course id CNSRSCI 555 ### course uid course\_8e31aa798c90dfcf4eaa7498 ### catalog version id ed278811b266336c26e2e52a8199bc9988c720df66c00886ad39f9ed1afcbfe0 ### course number 555 ### subjects * CNSRSCI ### title CONSUMER STRATEGY CONSULTING PRACTICUM ### description Design thinking and strategic planning frameworks applied to consumer challenges. Working with an outside client, develop evidence-based solutions and implement them with contingency planning. Evaluate impact with objective recommendations for future action. ### requirements text CNSR SCI 357(or CNSR SCI 657 prior to Fall 2026) and junior standing, or graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:271:024415 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 0f41e14ac29e9c802f545eb7c88681b4665c9bd88fa749833279a8c9034d6d73 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Consumer Strategy Practicum applies design thinking to develop evidence-based client solutions. ### llm topics * Design thinking and strategic planning for consumer challenges * Client-based solution development and implementation * Impact evaluation and future action recommendations ### llm skills * Applying design thinking and strategic planning frameworks * Developing and implementing evidence-based solutions with contingency planning * Evaluating impact and providing objective recommendations ### llm assumed background * Consumer behavior analysis including motivation, perception, and attitude formation ### llm search phrases * consumer strategy consulting * design thinking consumer challenges * strategic planning consumer behavior * CNSRSCI 555 practicum ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash a8716160e494de55115acd760d7cb8e4d4d3a5a7c31038028c87a4f8988831f2 #### course id CNSRSCI 555 #### current instructors ```json [ { "instructor_uid": "instructor_f0e515bdd266f0143ca4eefa", "message": "No course-specific reviews available", "name": "Anna Spahn", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_c975a3ee133686296307b81e", "message": null, "name": "Ron Katanick", "review_status": "supported", "rmp_instructor_id": "rmp:2756139", "summary": [ { "citations": [ { "instructor_name": "Ron Katanick", "review_date": "2022-02-07 21:24:32 +0000 UTC", "review_id": "108dc0464ece6c4c17ec30bc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2756139", "source_review_id": "UmF0aW5nLTM1ODM1MTA5", "source_url": "https://www.ratemyprofessors.com/professor/2756139", "type": "review" }, { "instructor_name": "Ron Katanick", "review_date": "2022-04-13 03:32:55 +0000 UTC", "review_id": "60f5ff4e6656ce3ba1fe3dff", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2756139", "source_review_id": "UmF0aW5nLTM2MDY4MTQx", "source_url": "https://www.ratemyprofessors.com/professor/2756139", "type": "review" } ], "text": "Ron Katanick is described as knowledgeable but delivers slow, boring lectures by reading slides verbatim, which confuses students regarding assignment expectations. One reviewer found the presentation style unengaging despite the interesting content." }, { "citations": [ { "instructor_name": "Ron Katanick", "review_date": "2023-12-19 02:59:46 +0000 UTC", "review_id": "774467dde5a7020409458529", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2756139", "source_review_id": "UmF0aW5nLTM4NzM2OTM4", "source_url": "https://www.ratemyprofessors.com/professor/2756139", "type": "review" } ], "text": "Conversely, another student found his lectures slow but informative, praising his weekly online office hours as helpful. This review noted the course is group-project based, where group dynamics significantly impact difficulty." }, { "citations": [ { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 3.63 GPA, 88.4% A/AB (n=69 letter grades); Fall 2025: 3.63 GPA, 84.3% A/AB (n=70 letter grades); Spring 2026: 3.52 GPA, 82.7% A/AB (n=75 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_73284590c856dd29d17dcc17", "message": "No course-specific reviews available", "name": "Sara Hocking", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload The course is entirely group-project based, making the experience difficult if paired with an uncooperative group, though generally doable. ```json { "citations": [ { "instructor_name": "Ron Katanick", "review_date": "2023-12-19 02:59:46 +0000 UTC", "review_id": "774467dde5a7020409458529", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2756139", "source_review_id": "UmF0aW5nLTM4NzM2OTM4", "source_url": "https://www.ratemyprofessors.com/professor/2756139", "type": "review" } ] } ``` #### errors None recorded. #### historical context None recorded. #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Ron Katanick's teaching style is polarizing, with some finding lectures boring and others valuing the accessible content and helpful office hours. ```json { "citations": [ { "instructor_name": "Ron Katanick", "review_date": "2022-02-07 21:24:32 +0000 UTC", "review_id": "108dc0464ece6c4c17ec30bc", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2756139", "source_review_id": "UmF0aW5nLTM1ODM1MTA5", "source_url": "https://www.ratemyprofessors.com/professor/2756139", "type": "review" }, { "instructor_name": "Ron Katanick", "review_date": "2022-04-13 03:32:55 +0000 UTC", "review_id": "60f5ff4e6656ce3ba1fe3dff", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2756139", "source_review_id": "UmF0aW5nLTM2MDY4MTQx", "source_url": "https://www.ratemyprofessors.com/professor/2756139", "type": "review" }, { "instructor_name": "Ron Katanick", "review_date": "2023-12-19 02:59:46 +0000 UTC", "review_id": "774467dde5a7020409458529", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2756139", "source_review_id": "UmF0aW5nLTM4NzM2OTM4", "source_url": "https://www.ratemyprofessors.com/professor/2756139", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.62 GPA, 83.7% A/AB (n=178 letter grades); Fall 2025: 3.61 GPA, 82.6% A/AB (n=235 letter grades); Spring 2026: 3.38 GPA, 70.6% A/AB (n=180 letter grades). ```json { "citations": [ { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students appreciate Katanick's knowledge and weekly online office hours, but criticize his verbatim slide reading and unclear assignment expectations. ```json { "citations": [ { "instructor_name": "Ron Katanick", "review_date": "2022-04-13 03:32:55 +0000 UTC", "review_id": "60f5ff4e6656ce3ba1fe3dff", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2756139", "source_review_id": "UmF0aW5nLTM2MDY4MTQx", "source_url": "https://www.ratemyprofessors.com/professor/2756139", "type": "review" }, { "instructor_name": "Ron Katanick", "review_date": "2023-12-19 02:59:46 +0000 UTC", "review_id": "774467dde5a7020409458529", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2756139", "source_review_id": "UmF0aW5nLTM4NzM2OTM4", "source_url": "https://www.ratemyprofessors.com/professor/2756139", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history RON KATANICK is recorded teaching in 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 555", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": 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"47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "section_number": 104, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 555", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "source_record": { "entity_id": "47d26446-bfe4-3687-add7-17efa1b6f96a", "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": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "CNSR SCI 357(or CNSR SCI 657 prior to Fall 2026) and junior standing, or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "CNSR SCI 357(or CNSR SCI 657 prior to Fall 2026) and junior standing", "id": "n1", "kind": "all" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n2", "kind": "condition" }, { "children": [ "n5", "n6" ], "condition": null, "course": null, "evidence": "CNSR SCI 357(or CNSR SCI 657 prior to Fall 2026)", "id": "n3", "kind": "any" }, { "children": [], "condition": "junior standing", "course": null, "evidence": "junior standing", "id": "n4", "kind": "condition" }, { "children": [], "condition": null, "course": { "course_number": 357, "minimum_grade": null, "subjects": [ "CNSRSCI" ], "timing": "prior" }, "evidence": "CNSR SCI 357", "id": "n5", "kind": "course" }, { "children": [], "condition": "CNSR SCI 657 prior to Fall 2026", "course": null, "evidence": "CNSR SCI 657 prior to Fall 2026", "id": "n6", "kind": "condition" } ] ``` #### notes * Reference to CNSR SCI 657 is absent from linked\_courses and requires manual verification. #### root n0 #### status needs\_review ### instructors ```json [ { "instructor_uid": "instructor_f0e515bdd266f0143ca4eefa", "source": "enrollment", "source_instructor_id": "ajspahn", "identity_basis": "netid", "identity_status": "source_identified", "name": "Anna Spahn", "email": "AJSPAHN@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/ANNA_SPAHN" }, { "instructor_uid": "instructor_c975a3ee133686296307b81e", "source": "enrollment", "source_instructor_id": "katanick", "identity_basis": "netid", "identity_status": "source_identified", "name": "Ron Katanick", "email": "KATANICK@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 8, "quality": 3.25, "difficulty": 2.88, "quality_count": 8, "difficulty_count": 8, "profile_id": "rmp:2756139", "source_url": "https://www.ratemyprofessors.com/professor/2756139", "match_basis": "exact_name", "observed_at": "2026-09-07 16:09:10.411994+00:00", "courses": { "course_8e31aa798c90dfcf4eaa7498": { "review_count": 3, "quality": 2.33, "difficulty": 3, "quality_count": 3, "difficulty_count": 3 }, "course_ecb5c8013d95412de5fbc16b": { "review_count": 1, "quality": 3, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.5426327025332824, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/RON_KATANICK" }, { "instructor_uid": "instructor_73284590c856dd29d17dcc17", "source": "enrollment", "source_instructor_id": "shocking2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Sara Hocking", "email": "SHOCKING2@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/SARA_HOCKING" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:271:024415", "course_id": "CNSRSCI 555", "course_uid": "course_8e31aa798c90dfcf4eaa7498", "term_id": "1272", "source_course_id": "024415", "source_subject_id": "271", "title": "Consumer Strategy Consulting Practicum", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:17923", "term_id": "1272", "source_section_id": "17923", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 60, "enrolled": 51, "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:1272:25734", "term_id": "1272", "source_section_id": "25734", "identity_basis": "class_number", "section_number": "002", "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:1272:37371", "term_id": "1272", "source_section_id": "37371", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 62, "enrolled": 62, "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_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_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_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_88a3b92dd583b2ab6f5c7a89", "source": "madgrades", "source_instructor_id": "3044181", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HALLEY JONES", "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": 3.782, "graded": 370, "counts": [ 248, 92, 21, 9, 0, 0, 0 ], "sections": 5 }, "instructor_url": "/instructors/HALLEY_JONES--instructor_88a3b92dd583b2ab6f5c7a89" }, { "instructor_uid": "instructor_477f13436433ad7873437b25", "source": "madgrades", "source_instructor_id": "4785243", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RON KATANICK", "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": 8, "quality": 3.25, "difficulty": 2.88, "quality_count": 8, "difficulty_count": 8, "profile_id": "rmp:2756139", "source_url": "https://www.ratemyprofessors.com/professor/2756139", "match_basis": "exact_name", "observed_at": "2026-09-07 16:09:10.411994+00:00", "courses": { "course_8e31aa798c90dfcf4eaa7498": { "review_count": 3, "quality": 2.33, "difficulty": 3, "quality_count": 3, "difficulty_count": 3 }, "course_ecb5c8013d95412de5fbc16b": { "review_count": 1, "quality": 3, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.5426327025332824, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.719, "graded": 1532, "counts": [ 926, 433, 124, 30, 12, 7, 0 ], "sections": 30 }, "instructor_url": "/instructors/RON_KATANICK--instructor_477f13436433ad7873437b25" }, { "instructor_uid": "instructor_84280affb279a3be93100ef4", "source": "madgrades", "source_instructor_id": "6212999", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SOMALIS CHY", "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": 3.744, "graded": 348, "counts": [ 232, 79, 25, 5, 4, 3, 0 ], "sections": 5 }, "instructor_url": "/instructors/SOMALIS_CHY" }, { "instructor_uid": "instructor_6a0b621c590fdc36cefa1041", "source": "madgrades", "source_instructor_id": "6563638", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KESHA BOZEMAN", "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": 3.239, "graded": 44, "counts": [ 16, 11, 8, 2, 4, 3, 0 ], "sections": 1 }, "instructor_url": "/instructors/KESHA_BOZEMAN" }, { "instructor_uid": "instructor_b14e9ef643dc3a68ec0bc3de", "source": "madgrades", "source_instructor_id": "6176778", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANYA MAKAROVA", "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": 3.756, "graded": 125, "counts": [ 77, 37, 9, 2, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/ANYA_MAKAROVA--instructor_b14e9ef643dc3a68ec0bc3de" }, { "instructor_uid": "instructor_032a5dd7f27b6b0b34eed37d", "source": "madgrades", "source_instructor_id": "6592489", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL WOOD", "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": 3.822, "graded": 214, "counts": [ 154, 44, 16, 0, 0, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/MICHAEL_WOOD--instructor_032a5dd7f27b6b0b34eed37d" }, { "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_dbb18e88f5df0cdd743af19b", "source": "madgrades", "source_instructor_id": "6468968", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LINH H TRAN", "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": 3.72, "graded": 261, "counts": [ 163, 63, 25, 7, 3, 0, 0 ], "sections": 8 }, "instructor_url": "/instructors/LINH_H_TRAN" }, { "instructor_uid": "instructor_12463ca34b517f49343de504", "source": "madgrades", "source_instructor_id": "6582829", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANANT GYAN", "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": 3.751, "graded": 301, "counts": [ 192, 82, 19, 6, 0, 2, 0 ], "sections": 6 }, "instructor_url": "/instructors/ANANT_GYAN--instructor_12463ca34b517f49343de504" }, { "instructor_uid": "instructor_b55ae5dc573d44d001d334c0", "source": "madgrades", "source_instructor_id": "267736", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JEFFREY MEYER", "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": 3.591, "graded": 1356, "counts": [ 798, 293, 137, 55, 40, 23, 10 ], "sections": 15 }, "instructor_url": "/instructors/JEFFREY_MEYER--instructor_b55ae5dc573d44d001d334c0" }, { "instructor_uid": "instructor_c30291a55ff206979d6acc79", "source": "madgrades", "source_instructor_id": "6546333", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BAHAREH MAHBOD", "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": 3.737, "graded": 196, "counts": [ 125, 50, 16, 3, 0, 2, 0 ], "sections": 5 }, "instructor_url": "/instructors/BAHAREH_MAHBOD--instructor_c30291a55ff206979d6acc79" }, { "instructor_uid": "instructor_dddf2354d7905691093616c7", "source": "madgrades", "source_instructor_id": "6220584", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BRYAN ZARAMBA", "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": 3.628, "graded": 98, "counts": [ 47, 32, 16, 3, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/BRYAN_ZARAMBA--instructor_dddf2354d7905691093616c7" }, { "instructor_uid": "instructor_5099fb316107557749c91680", "source": "madgrades", "source_instructor_id": "6595300", "identity_basis": "source_id", "identity_status": "source_identified", "name": "QUINN GARDNER", "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": 3.158, "graded": 95, "counts": [ 23, 25, 30, 7, 5, 3, 2 ], "sections": 2 }, "instructor_url": "/instructors/QUINN_GARDNER" }, { "instructor_uid": "instructor_5bb88bf8dece6ee7f3b047e4", "source": "madgrades", "source_instructor_id": "6624626", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANUSHKA SINGH", "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": 3.654, "graded": 175, "counts": [ 84, 68, 18, 3, 2, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/ANUSHKA_SINGH" }, { "instructor_uid": "instructor_6c81a8abda5056bd3567a8e7", "source": "madgrades", "source_instructor_id": "6371202", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JINYE DU", "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": 3.625, "graded": 560, "counts": [ 318, 147, 60, 17, 8, 5, 5 ], "sections": 13 }, "instructor_url": "/instructors/JINYE_DU" }, { "instructor_uid": "instructor_73284590c856dd29d17dcc17", "source": "enrollment", "source_instructor_id": "shocking2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Sara Hocking", "email": "SHOCKING2@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/SARA_HOCKING" }, { "instructor_uid": "instructor_c975a3ee133686296307b81e", "source": "enrollment", "source_instructor_id": "katanick", "identity_basis": "netid", "identity_status": "source_identified", "name": "Ron Katanick", "email": "KATANICK@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 8, "quality": 3.25, "difficulty": 2.88, "quality_count": 8, "difficulty_count": 8, "profile_id": "rmp:2756139", "source_url": "https://www.ratemyprofessors.com/professor/2756139", "match_basis": "exact_name", "observed_at": "2026-09-07 16:09:10.411994+00:00", "courses": { "course_8e31aa798c90dfcf4eaa7498": { "review_count": 3, "quality": 2.33, "difficulty": 3, "quality_count": 3, "difficulty_count": 3 }, "course_ecb5c8013d95412de5fbc16b": { "review_count": 1, "quality": 3, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.5426327025332824, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/RON_KATANICK" }, { "instructor_uid": "instructor_f0e515bdd266f0143ca4eefa", "source": "enrollment", "source_instructor_id": "ajspahn", "identity_basis": "netid", "identity_status": "source_identified", "name": "Anna Spahn", "email": "AJSPAHN@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/ANNA_SPAHN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 555", "course_uid": "course_8e31aa798c90dfcf4eaa7498", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "DEE WARMATH" ], "a": 11, "ab": 27, "b": 10, "bc": 4, "c": 3, "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": 56, "source_aliases": [ "CNSRSCI 555" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 555", "course_uid": "course_8e31aa798c90dfcf4eaa7498", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "DEE WARMATH" ], "a": 13, "ab": 35, "b": 24, "bc": 3, "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": 76, "source_aliases": [ "CNSRSCI 555" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 555", "course_uid": "course_8e31aa798c90dfcf4eaa7498", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "DEE WARMATH" ], "a": 20, "ab": 34, "b": 14, "bc": 5, "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": 73, "source_aliases": [ "CNSRSCI 555" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 555", "course_uid": "course_8e31aa798c90dfcf4eaa7498", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "BJORN BERG", "TAYLER NOWAK" ], "a": 31, "ab": 27, "b": 12, "bc": 3, "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": 75, "source_aliases": [ "CNSRSCI 555" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 555", "course_uid": 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"no_work": 0, "not_reported": 0, "other": 0, "total": 119, "source_aliases": [ "CNSRSCI 555" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 555", "course_uid": "course_8e31aa798c90dfcf4eaa7498", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Ron Katanick", "SOMALIS CHY" ], "a": 100, "ab": 45, "b": 8, "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": 157, "source_aliases": [ "CNSRSCI 555" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 555", "course_uid": "course_8e31aa798c90dfcf4eaa7498", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "ANYA MAKAROVA", "KESHA BOZEMAN", "Ron Katanick", "SOMALIS CHY" ], "a": 93, "ab": 48, "b": 17, "bc": 4, "c": 4, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 169, "source_aliases": [ "CNSRSCI 555" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 555", "course_uid": "course_8e31aa798c90dfcf4eaa7498", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "JILL HUIZENGA", "LINH H TRAN", "Michael Wood", "Ron Katanick", "SOMALIS CHY" ], "a": 139, "ab": 51, "b": 19, "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": 210, "source_aliases": [ "CNSRSCI 555" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 555", "course_uid": "course_8e31aa798c90dfcf4eaa7498", 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"20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 555", "course_uid": "course_8e31aa798c90dfcf4eaa7498", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "ANANT GYAN", "BAHAREH MAHBOD", "BRYAN ZARAMBA", "Jeff Meyer", "Ron Katanick" ], "a": 91, "ab": 58, "b": 19, "bc": 7, "c": 0, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 178, "source_aliases": [ "CNSRSCI 555" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 555", "course_uid": "course_8e31aa798c90dfcf4eaa7498", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "ANUSHKA SINGH", "JINYE DU", "Jeff Meyer", "QUINN GARDNER", "Ron Katanick" ], "a": 105, "ab": 89, "b": 32, "bc": 7, "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": 235, "source_aliases": [ "CNSRSCI 555" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 555", "course_uid": "course_8e31aa798c90dfcf4eaa7498", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "ANUSHKA SINGH", "JINYE DU", "Jeff Meyer", "QUINN GARDNER", "Ron Katanick" ], "a": 56, "ab": 71, "b": 35, "bc": 6, "c": 6, "d": 4, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 180, "source_aliases": [ "CNSRSCI 555" ] } ] ``` ### statistics #### gpa 3.642 #### graded 2480 #### counts * 1271 * 822 * 282 * 66 * 23 * 14 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_8e31aa798c90dfcf4eaa7498-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_8e31aa798c90dfcf4eaa7498-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_8e31aa798c90dfcf4eaa7498-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_8e31aa798c90dfcf4eaa7498-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_8e31aa798c90dfcf4eaa7498-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_8e31aa798c90dfcf4eaa7498-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_8e31aa798c90dfcf4eaa7498-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_8e31aa798c90dfcf4eaa7498-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_8e31aa798c90dfcf4eaa7498-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_8e31aa798c90dfcf4eaa7498-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.641935483870968 #### count 2480 #### university ##### size 5265 ##### gpa Percentile 36 ##### count Percentile 96 ##### median Count 173 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 7 | false | | 2.8–3.2 | 287 | false | | 3.2–3.6 | 1329 | false | | 3.6–4.0 | 3641 | true | #### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 32, "gpaPercentile": 45, "countPercentile": 84, "medianCount": 975.5, "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": 10, "current": false }, { "range": "3.6–4.0", "count": 21, "current": true } ] } } ] ``` ### terms #### 1164 ##### term 1164 ##### gpa 3.3125 ##### count 56 ##### university ###### size 965 ###### gpa Percentile 35 ###### count Percentile 41 ###### 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 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 14, "gpaPercentile": 38, "countPercentile": 46, "medianCount": 66, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.3684210526315788 ##### count 76 ##### university ###### size 991 ###### gpa Percentile 40 ###### count Percentile 56 ###### 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 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 14, "gpaPercentile": 38, "countPercentile": 62, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.4726027397260273 ##### count 73 ##### university ###### size 955 ###### gpa Percentile 50 ###### count Percentile 52 ###### 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 | true | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 14, "gpaPercentile": 38, "countPercentile": 54, "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": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.546666666666667 ##### count 75 ##### university ###### size 1025 ###### gpa Percentile 55 ###### count Percentile 54 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 17, "gpaPercentile": 50, "countPercentile": 50, "medianCount": 75, "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": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.4266666666666667 ##### count 75 ##### university ###### size 1010 ###### gpa Percentile 42 ###### count Percentile 54 ###### 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 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 17, "gpaPercentile": 31, "countPercentile": 56, "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": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.7466666666666666 ##### count 75 ##### university ###### size 1077 ###### gpa Percentile 71 ###### count Percentile 55 ###### 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": 82, "countPercentile": 59, "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 3.6041666666666665 ##### count 72 ##### university ###### size 1040 ###### gpa Percentile 57 ###### count Percentile 54 ###### 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": 56, "countPercentile": 56, "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 3.7733333333333334 ##### count 75 ##### university ###### size 1102 ###### gpa Percentile 73 ###### count Percentile 55 ###### 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": 75, "countPercentile": 44, "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 3.859154929577465 ##### count 71 ##### university ###### size 1012 ###### gpa Percentile 67 ###### count Percentile 54 ###### 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": 75, "countPercentile": 44, "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 3.9220779220779223 ##### count 77 ##### university ###### size 1111 ###### gpa Percentile 86 ###### count Percentile 54 ###### 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": 100, "countPercentile": 47, "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 3.8607594936708862 ##### count 79 ##### university ###### size 1157 ###### gpa Percentile 79 ###### count Percentile 56 ###### 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": 95, "countPercentile": 60, "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 3.508403361344538 ##### count 119 ##### university ###### size 1171 ###### gpa Percentile 39 ###### count Percentile 76 ###### 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": 42, "countPercentile": 68, "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 3.7756410256410255 ##### count 156 ##### university ###### size 1216 ###### gpa Percentile 67 ###### count Percentile 81 ###### 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": 79, "countPercentile": 84, "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 3.621301775147929 ##### count 169 ##### university ###### size 1188 ###### gpa Percentile 47 ###### count Percentile 85 ###### 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": 44, "countPercentile": 89, "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 3.7785714285714285 ##### count 210 ##### university ###### size 1295 ###### gpa Percentile 65 ###### count Percentile 88 ###### 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": 70, "countPercentile": 80, "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 3.741706161137441 ##### count 211 ##### university ###### size 1241 ###### gpa Percentile 60 ###### count Percentile 89 ###### 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": 68, "countPercentile": 77, "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 3.697247706422018 ##### count 218 ##### university ###### size 1333 ###### gpa Percentile 52 ###### count Percentile 88 ###### 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": 45, "countPercentile": 77, "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 3.6207865168539324 ##### count 178 ##### university ###### size 1289 ###### gpa Percentile 43 ###### count Percentile 85 ###### 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": 45, "countPercentile": 77, "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 3.6127659574468085 ##### count 235 ##### university ###### size 1320 ###### gpa Percentile 40 ###### count Percentile 89 ###### 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": 50, "countPercentile": 75, "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 3.3805555555555555 ##### count 180 ##### university ###### size 1283 ###### gpa Percentile 21 ###### count Percentile 85 ###### 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 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 22, "gpaPercentile": 19, "countPercentile": 76, "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": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5265 ###### gpa 3.6958017573239084 ###### top Share 84.0420749817945 ###### count 173 ##### CNSRSCI ###### size 32 ###### gpa 3.6240101806484226 ###### top Share 81.78228572252631 ###### count 975.5 #### terms ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### CNSRSCI ###### size 14 ###### gpa 3.4255503603894755 ###### top Share 69.8423264256298 ###### count 66 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### CNSRSCI ###### size 14 ###### gpa 3.4758058955291706 ###### top Share 72.40039806741547 ###### count 65.5 ##### 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 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### CNSRSCI ###### size 17 ###### gpa 3.5145694086277337 ###### top Share 74.60378274938202 ###### count 75 ##### 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 17 ###### gpa 3.5378693411054614 ###### top Share 76.8596088120517 ###### count 71 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### CNSRSCI ###### size 17 ###### gpa 3.4936403985695 ###### top Share 74.03070168013859 ###### count 78 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### CNSRSCI ###### size 17 ###### gpa 3.7304394114977595 ###### top Share 89.91371180365307 ###### count 71 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### CNSRSCI ###### size 18 ###### gpa 3.661772272360077 ###### top Share 83.33475336135731 ###### count 84 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### CNSRSCI ###### size 21 ###### gpa 3.6219066273341127 ###### top Share 81.61770534110484 ###### count 58 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### CNSRSCI ###### size 20 ###### gpa 3.5454759115101373 ###### top Share 79.46534212003172 ###### count 70.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### CNSRSCI ###### size 20 ###### gpa 3.617834368808565 ###### top Share 81.83628160426352 ###### count 90.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### CNSRSCI ###### size 19 ###### gpa 3.6048767735668403 ###### top Share 80.03346364170125 ###### count 117 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### CNSRSCI ###### size 21 ###### gpa 3.697912728932925 ###### top Share 86.42551064398879 ###### count 117 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### CNSRSCI ###### size 23 ###### gpa 3.5862228593095566 ###### top Share 79.17919283986976 ###### count 104 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### CNSRSCI ###### size 23 ###### gpa 3.6691705419603458 ###### top Share 84.48369653925197 ###### count 104 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### CNSRSCI ###### size 23 ###### gpa 3.564727474066601 ###### top Share 79.63337143038319 ###### count 90 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### CNSRSCI ###### size 21 ###### gpa 3.6261464494189632 ###### top Share 81.76866165097593 ###### count 118 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### CNSRSCI ###### size 22 ###### gpa 3.51605863991461 ###### top Share 75.92309209656172 ###### count 105 ## instructor Trends ```json [ { "uid": "instructor_477f13436433ad7873437b25", "name": "RON KATANICK", "count": 894, "terms": [ { "term": "1222", "count": 79, "sections": 1, "gpa": 3.8607594936708862 }, { "term": "1224", "count": 119, "sections": 2, "gpa": 3.508403361344538 }, { "term": "1232", "count": 156, "sections": 2, "gpa": 3.7756410256410255 }, { "term": "1234", "count": 125, "sections": 2, "gpa": 3.756 }, { "term": "1242", "count": 62, "sections": 2, "gpa": 3.5806451612903225 }, { "term": "1244", "count": 73, "sections": 2, "gpa": 3.5753424657534247 }, { "term": "1252", "count": 66, "sections": 1, "gpa": 3.696969696969697 }, { "term": "1254", "count": 69, "sections": 2, "gpa": 3.630434782608696 }, { "term": "1262", "count": 70, "sections": 1, "gpa": 3.6285714285714286 }, { "term": "1264", "count": 75, "sections": 1, "gpa": 3.52 } ] }, { "uid": "instructor_b55ae5dc573d44d001d334c0", "name": "JEFFREY MEYER", "count": 531, "terms": [ { "term": "1252", "count": 152, "sections": 3, "gpa": 3.6973684210526314 }, { "term": "1254", "count": 109, "sections": 3, "gpa": 3.614678899082569 }, { "term": "1262", "count": 165, "sections": 3, "gpa": 3.606060606060606 }, { "term": "1264", "count": 105, "sections": 2, "gpa": 3.280952380952381 } ] }, { "uid": "instructor_88a3b92dd583b2ab6f5c7a89", "name": "HALLEY JONES", "count": 370, "terms": [ { "term": "1192", "count": 75, "sections": 1, "gpa": 3.7466666666666666 }, { "term": "1194", "count": 72, "sections": 1, "gpa": 3.6041666666666665 }, { "term": "1202", "count": 75, "sections": 1, "gpa": 3.7733333333333334 }, { "term": "1204", "count": 71, "sections": 1, "gpa": 3.859154929577465 }, { "term": "1212", "count": 77, "sections": 1, "gpa": 3.9220779220779223 } ] }, { "uid": "instructor_84280affb279a3be93100ef4", "name": "SOMALIS CHY", "count": 348, "terms": [ { "term": "1232", "count": 156, "sections": 2, "gpa": 3.7756410256410255 }, { "term": "1234", "count": 44, "sections": 1, "gpa": 3.2386363636363638 }, { "term": "1242", "count": 148, "sections": 2, "gpa": 3.8614864864864864 } ] }, { "uid": "instructor_12463ca34b517f49343de504", "name": "ANANT GYAN", "count": 301, "terms": [ { "term": "1244", "count": 138, "sections": 2, "gpa": 3.829710144927536 }, { "term": "1252", "count": 113, "sections": 2, "gpa": 3.7389380530973453 }, { "term": "1254", "count": 50, "sections": 2, "gpa": 3.56 } ] }, { "uid": "instructor_0528d1d144df225fe51d3519", "name": "DEE WARMATH", "count": 280, "terms": [ { "term": "1164", "count": 56, "sections": 1, "gpa": 3.3125 }, { "term": "1172", "count": 76, "sections": 1, "gpa": 3.3684210526315788 }, { "term": "1174", "count": 73, "sections": 1, "gpa": 3.4726027397260273 }, { "term": "1184", "count": 75, "sections": 1, "gpa": 3.4266666666666667 } ] }, { "uid": "instructor_032a5dd7f27b6b0b34eed37d", "name": "MICHAEL WOOD", "count": 214, "terms": [ { "term": "1242", "count": 76, "sections": 1, "gpa": 3.8092105263157894 }, { "term": "1244", "count": 138, "sections": 2, "gpa": 3.829710144927536 } ] }, { "uid": "instructor_5bb88bf8dece6ee7f3b047e4", "name": "ANUSHKA SINGH", "count": 175, "terms": [ { "term": "1262", "count": 116, "sections": 2, "gpa": 3.6939655172413794 }, { "term": "1264", "count": 59, "sections": 1, "gpa": 3.5762711864406778 } ] }, { "uid": "instructor_02b717bc90cf7826f7a66079", "name": "TAYLER NOWAK", "count": 150, "terms": [ { "term": "1182", "count": 75, "sections": 1, "gpa": 3.546666666666667 }, { "term": "1184", "count": 75, "sections": 1, "gpa": 3.4266666666666667 } ] }, { "uid": "instructor_6c81a8abda5056bd3567a8e7", "name": "JINYE DU", "count": 145, "terms": [ { "term": "1262", "count": 70, "sections": 1, "gpa": 3.6285714285714286 }, { "term": "1264", "count": 75, "sections": 1, "gpa": 3.52 } ] }, { "uid": "instructor_c30291a55ff206979d6acc79", "name": "BAHAREH MAHBOD", "count": 135, "terms": [ { "term": "1252", "count": 66, "sections": 1, "gpa": 3.696969696969697 }, { "term": "1254", "count": 69, "sections": 2, "gpa": 3.630434782608696 } ] }, { "uid": "instructor_dbb18e88f5df0cdd743af19b", "name": "LINH H TRAN", "count": 135, "terms": [ { "term": "1242", "count": 62, "sections": 2, "gpa": 3.5806451612903225 }, { "term": "1244", "count": 73, "sections": 2, "gpa": 3.5753424657534247 } ] }, { "uid": "instructor_b14e9ef643dc3a68ec0bc3de", "name": "ANYA MAKAROVA", "count": 125, "terms": [ { "term": "1234", "count": 125, "sections": 2, "gpa": 3.756 } ] }, { "uid": "instructor_dddf2354d7905691093616c7", "name": "BRYAN ZARAMBA", "count": 98, "terms": [ { "term": "1252", "count": 39, "sections": 1, "gpa": 3.576923076923077 }, { "term": "1254", "count": 59, "sections": 1, "gpa": 3.6610169491525424 } ] }, { "uid": "instructor_5099fb316107557749c91680", "name": "QUINN GARDNER", "count": 95, "terms": [ { "term": "1262", "count": 49, "sections": 1, "gpa": 3.3979591836734695 }, { "term": "1264", "count": 46, "sections": 1, "gpa": 2.902173913043478 } ] }, { "uid": "instructor_876e929a9ae846b785e48ae5", "name": "BJORN BERG", "count": 75, "terms": [ { "term": "1182", "count": 75, "sections": 1, "gpa": 3.546666666666667 } ] }, { "uid": "instructor_808dda0156d2898af107f9f2", "name": "JILL HUIZENGA", "count": 72, "terms": [ { "term": "1242", "count": 72, "sections": 1, "gpa": 3.9166666666666665 } ] }, { "uid": "instructor_6a0b621c590fdc36cefa1041", "name": "KESHA BOZEMAN", "count": 44, "terms": [ { "term": "1234", "count": 44, "sections": 1, "gpa": 3.2386363636363638 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.42 #### upper 4 #### coverage 80 #### terms 8 ### gpa 3.719462497205479 ### grades | grade | percentage | | ----- | ------------------- | | A | 58.18397878152722 | | AB | 30.37370375082421 | | B | 9.264485665588488 | | BC | 1.7248337619561533 | | C | 0.3438320247944844 | | D | 0.10916601530944196 | | F | 0 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 898 ### same Season true ### historical Range * 3.6127659574468085 * 3.860759493670886 ### backtest #### terms 8 #### gpa Error 0.15644984745977164 #### mix Error 18.43148626275465