# CNSRSCI 201: Consumer Insights | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CNSRSCI_201) ## 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 9030ec05c2d5c677699e15434cf856b59b3ab493bb68448ec24bc30c0c1aa35c ### course id CNSRSCI 201 ### course uid course\_5b03739520d8d0f6aba32236 ### catalog version id 48f852213f9a4e98cb42c20d52f859c644704eeee68329baac0932eb14dadcab ### course number 201 ### subjects * CNSRSCI ### title CONSUMER INSIGHTS ### description Provides basic training in quantitative data analysis, with an emphasis on descriptive and inferential statistics with consumer research applications. ### requirements text (STAT 301,371,C\&E SOC/​SOC  360,PSYCH 210,ECON 310,GEN BUS 306, or GEOG 360) and (GEN BUS 106orA A E 335) ### credits min 3 ### credits max 3 ### credit offering ids * 1272:271:024394 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 31f0d2c06128c6e4e83b3a5f1d229d308eb46e3d43c4b18a0405f226deed5efb ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Consumer Insights teaches quantitative data analysis with an emphasis on descriptive and inferential statistics applied to consumer research. ### llm topics * Descriptive and inferential statistics * Quantitative data analysis * Consumer research applications ### llm skills * Quantitative data analysis using descriptive and inferential statistics. * Application of statistical methods to consumer research contexts. ### llm assumed background * Prerequisite knowledge in descriptive and inferential statistics, including hypothesis testing, regression, and experimental design. * Foundational economics coursework and quantitative reasoning skills. ### llm search phrases * consumer research statistics * quantitative data analysis consumer insights * inferential statistics marketing * consumer behavior data analysis ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash a771f2043ac71ff27c5cf94f89a8723cd2c32e8571438739ba001c63634271df #### course id CNSRSCI 201 #### current instructors ```json [ { "instructor_uid": "instructor_eba6509156bf69057067a62d", "message": "No course-specific reviews available", "name": "Belkis Cerrato Caceres", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.67 GPA, 88.7% A/AB (n=151 letter grades); Spring 2026: 3.69 GPA, 86.8% A/AB (n=68 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_6fa1515925403758f35dcb86", "message": "No course-specific reviews available", "name": "Melody Harvey", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:2679424", "summary": [ { "citations": [ { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.46 GPA, 70.5% A/AB (n=78 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_91559de2577b08f8a02963d5", "message": "No course-specific reviews available", "name": "Nafsaniath Fathema", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 103, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.54 GPA, 81.8% A/AB (n=66 letter grades); Fall 2024: 3.71 GPA, 87.5% A/AB (n=80 letter grades); Spring 2025: 3.70 GPA, 88.6% A/AB (n=149 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_664c988ac8d0d70824bd0782", "message": "No course-specific reviews available", "name": "Omar Jassey", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_2362e0a545d3569cab66641b", "message": "No course-specific reviews available", "name": "Sihyun Lee", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.65 GPA, 86.5% A/AB (n=74 letter grades); Spring 2026: 3.60 GPA, 83.8% A/AB (n=68 letter grades). Includes jointly taught sections." } ] } ] ``` #### 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: 3.71 GPA, 88.1% A/AB (n=226 letter grades); Fall 2025: 3.56 GPA, 81.0% A/AB (n=284 letter grades); Spring 2026: 3.61 GPA, 82.5% A/AB (n=275 letter grades). ```json { "citations": [ { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "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 BELKIS CERRATO CACERES is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 104, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` MELODY HARVEY is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` NAFSANIATH FATHEMA is recorded teaching in Spring 2023, Fall 2023, Fall 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 103, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 103, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 103, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" } ] } ``` SIHYUN LEE is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 104, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 201", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "source_record": { "entity_id": "4c64bcfa-0bd8-3dca-ad81-90ad87ba131c", "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": "(STAT 301,371,C&E SOC/SOC 360,PSYCH 210,ECON 310,GEN BUS 306, or GEOG 360) and (GEN BUS 106orA A E 335)", "id": "n0", "kind": "all" }, { "children": [ "n3", "n4", "n5", "n6", "n7", "n8" ], "condition": null, "course": null, "evidence": "(STAT 301,371,C&E SOC/SOC 360,PSYCH 210,ECON 310,GEN BUS 306, or GEOG 360)", "id": "n1", "kind": "any" }, { "children": [ "n9", "n10" ], "condition": null, "course": null, "evidence": "(GEN BUS 106orA A E 335)", "id": "n2", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 301, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "STAT 301", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 371, "minimum_grade": null, "subjects": [ "STAT" ], "timing": "prior" }, "evidence": "371", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 360, "minimum_grade": null, "subjects": [ "C&ESOC", "SOC" ], "timing": "prior" }, "evidence": "C&E SOC/SOC 360", "id": "n5", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 210, "minimum_grade": null, "subjects": [ "PSYCH" ], "timing": "prior" }, "evidence": "PSYCH 210", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 310, "minimum_grade": null, "subjects": [ "ECON" ], "timing": "prior" }, "evidence": "ECON 310", "id": "n7", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 306, "minimum_grade": null, "subjects": [ "GENBUS" ], "timing": "prior" }, "evidence": "GEN BUS 306", "id": "n8", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 106, "minimum_grade": null, "subjects": [ "GENBUS" ], "timing": "prior" }, "evidence": "GEN BUS 106", "id": "n9", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 335, "minimum_grade": null, "subjects": [ "AAE" ], "timing": "prior" }, "evidence": "A A E 335", "id": "n10", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_eba6509156bf69057067a62d", "source": "enrollment", "source_instructor_id": "cerratocacer", "identity_basis": "netid", "identity_status": "source_identified", "name": "Belkis Cerrato Caceres", "email": "CERRATOCACER@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/BELKIS_CERRATO_CACERES" }, { "instructor_uid": "instructor_6fa1515925403758f35dcb86", "source": "enrollment", "source_instructor_id": "maharvey3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Melody Harvey", "email": "MAHARVEY3@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": 9, "quality": 1.78, "difficulty": 2.11, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2679424", "source_url": "https://www.ratemyprofessors.com/professor/2679424", "match_basis": "exact_name", "observed_at": "2026-09-07 16:18:51.260147+00:00", "courses": { "course_638859174a993830eb375b8f": { "review_count": 3, "quality": 2, "difficulty": 1.33, "quality_count": 3, "difficulty_count": 3 }, "course_bc61e79da96215de764ee362": { "review_count": 4, "quality": 2, "difficulty": 2.25, "quality_count": 4, "difficulty_count": 4 }, "course_20e7716682ffbf9e31ed297b": { "review_count": 2, "quality": 1, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.076335023135583, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MELODY_HARVEY" }, { "instructor_uid": "instructor_91559de2577b08f8a02963d5", "source": "enrollment", "source_instructor_id": "fathema", "identity_basis": "netid", "identity_status": "source_identified", "name": "Nafsaniath Fathema", "email": "FATHEMA@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/NAFSANIATH_FATHEMA" }, { "instructor_uid": "instructor_664c988ac8d0d70824bd0782", "source": "enrollment", "source_instructor_id": "ojassey", "identity_basis": "netid", "identity_status": "source_identified", "name": "Omar Jassey", "email": "OJASSEY@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/OMAR_JASSEY" }, { "instructor_uid": "instructor_2362e0a545d3569cab66641b", "source": "enrollment", "source_instructor_id": "slee2493", "identity_basis": "netid", "identity_status": "source_identified", "name": "Sihyun Lee", "email": "SLEE2493@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/SIHYUN_LEE" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:271:024394", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1272", "source_course_id": "024394", "source_subject_id": "271", "title": "Consumer Insights", "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:1272:22416", "term_id": "1272", "source_section_id": "22416", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 75, "enrolled": 75, "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:1272:27446", "term_id": "1272", "source_section_id": "27446", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 75, "enrolled": 72, "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:1272:29135", "term_id": "1272", "source_section_id": "29135", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 75, "enrolled": 75, "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:1272:29136", "term_id": "1272", "source_section_id": "29136", "identity_basis": "class_number", "section_number": "004", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 75, "enrolled": 73, "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_c24ff0124370238c9d8768f0", "source": "madgrades", "source_instructor_id": "5450745", "identity_basis": "source_id", "identity_status": "source_identified", "name": "FENABA ADDO", "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": 5, "quality": 1.6, "difficulty": 3.4, "quality_count": 5, "difficulty_count": 5, "profile_id": "rmp:2044855", "source_url": "https://www.ratemyprofessors.com/professor/2044855", "match_basis": "exact_name", "observed_at": "2026-09-07 16:39:18.084909+00:00", "courses": { "course_1385b5e0c98ed8c94e377694": { "review_count": 1, "quality": 3, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_20e7716682ffbf9e31ed297b": { "review_count": 1, "quality": 1, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.2477486268372764, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.498, "graded": 508, "counts": [ 207, 175, 69, 43, 8, 6, 0 ], "sections": 12 }, "instructor_url": "/instructors/FENABA_ADDO--instructor_c24ff0124370238c9d8768f0" }, { "instructor_uid": "instructor_5cb4753e6e56ba9f1f2c2301", "source": "madgrades", "source_instructor_id": "5512719", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BRIAN MARSDEN", "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": 3.537, "graded": 41, "counts": [ 17, 16, 4, 2, 2, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/BRIAN_MARSDEN" }, { "instructor_uid": "instructor_e3727b3f52f1b19166a3d317", "source": "madgrades", "source_instructor_id": "5354662", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YUE LU", "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": 3.686, "graded": 51, "counts": [ 32, 9, 8, 1, 1, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/YUE_LU--instructor_e3727b3f52f1b19166a3d317" }, { "instructor_uid": "instructor_4f6718b5e8873eb767a60d34", "source": "madgrades", "source_instructor_id": "732957", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JESSICA ANN VIESSELMANN", "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": 3.444, "graded": 99, "counts": [ 43, 21, 21, 9, 5, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/JESSICA_ANN_VIESSELMANN--instructor_4f6718b5e8873eb767a60d34" }, { "instructor_uid": "instructor_f2d2934885c4563c58f8b55c", "source": "madgrades", "source_instructor_id": "5332913", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MOONHOON CHOI", "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": 3.716, "graded": 148, "counts": [ 97, 28, 15, 6, 2, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/MOONHOON_CHOI--instructor_f2d2934885c4563c58f8b55c" }, { "instructor_uid": "instructor_4d5032e706c1b2e8e9a9909e", "source": "madgrades", "source_instructor_id": "5717856", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LINDIANDIAN YI", "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": 3.71, "graded": 248, "counts": [ 137, 86, 17, 8, 0, 0, 0 ], "sections": 3 }, "instructor_url": "/instructors/LINDIANDIAN_YI" }, { "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_319683fd1aff8e930d5ac783", "source": "madgrades", "source_instructor_id": "6090412", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YILING ZHANG", "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": 3.795, "graded": 431, "counts": [ 334, 54, 15, 21, 6, 1, 0 ], "sections": 6 }, "instructor_url": "/instructors/YILING_ZHANG" }, { "instructor_uid": "instructor_c03a26f60f320416fa9256a7", "source": "madgrades", "source_instructor_id": "6251380", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MACKENZIE JAHN", "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": 3.749, "graded": 197, "counts": [ 151, 19, 9, 12, 5, 1, 0 ], "sections": 2 }, "instructor_url": "/instructors/MACKENZIE_JAHN--instructor_c03a26f60f320416fa9256a7" }, { "instructor_uid": "instructor_2ea5ece33ac39baac276b624", "source": "madgrades", "source_instructor_id": "5791367", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SANCHITA CHAKRABORTY", "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": 3.67, "graded": 362, "counts": [ 228, 77, 28, 18, 8, 2, 1 ], "sections": 5 }, "instructor_url": "/instructors/SANCHITA_CHAKRABORTY" }, { "instructor_uid": "instructor_fbad783ccc8eb12fb6e11d16", "source": "madgrades", "source_instructor_id": "6396706", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KRISTA LAURING", "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": 3.699, "graded": 214, "counts": [ 133, 52, 15, 11, 2, 1, 0 ], "sections": 4 }, "instructor_url": "/instructors/KRISTA_LAURING--instructor_fbad783ccc8eb12fb6e11d16" }, { "instructor_uid": "instructor_2c54f859a9986bfd741072be", "source": "madgrades", "source_instructor_id": "6578945", "identity_basis": "source_id", "identity_status": "source_identified", "name": "NAFSANIATH FATHEMA", "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": 3.653, "graded": 491, "counts": [ 311, 104, 34, 21, 12, 7, 2 ], "sections": 12 }, "instructor_url": "/instructors/NAFSANIATH_FATHEMA--instructor_2c54f859a9986bfd741072be" }, { "instructor_uid": "instructor_5bea6bfaf4b60dea69142729", "source": "madgrades", "source_instructor_id": "6206470", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LAURI LUOSTA", "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": 3.629, "graded": 245, "counts": [ 141, 60, 21, 14, 8, 1, 0 ], "sections": 9 }, "instructor_url": "/instructors/LAURI_LUOSTA" }, { "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_92d3010ba97c608333cb743e", "source": "madgrades", 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"/instructors/MELISSA_BUBLITZ--instructor_021a3fee3b25a1a5d5e8983c" }, { "instructor_uid": "instructor_03d1968a4896d4eb5cdc7302", "source": "madgrades", "source_instructor_id": "4576633", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GISELLA KAGY", "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": 3.708, "graded": 137, "counts": [ 89, 28, 15, 2, 2, 0, 1 ], "sections": 6 }, "instructor_url": "/instructors/GISELLA_KAGY--instructor_03d1968a4896d4eb5cdc7302" }, { "instructor_uid": "instructor_806cf1485919a0e2f3aa2580", "source": "madgrades", "source_instructor_id": "6331582", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LOGAN HASH", "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": 3.097, "graded": 233, 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15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.445, "graded": 128, "counts": [ 65, 27, 16, 9, 5, 6, 0 ], "sections": 3 }, "instructor_url": "/instructors/MICAH_NELSON--instructor_b3db9ad6c15bfd5b51b1e80e" }, { "instructor_uid": "instructor_1428b65ad6966def20f10402", "source": "madgrades", "source_instructor_id": "6586168", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HALLIE WELSH", "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": 3.865, "graded": 148, "counts": [ 120, 22, 4, 0, 1, 1, 0 ], "sections": 5 }, "instructor_url": "/instructors/HALLIE_WELSH" }, { "instructor_uid": "instructor_3b74283fb05f9d5567262691", "source": "madgrades", "source_instructor_id": "6762695", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RAEGAN OOTEN", "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": 3.521, "graded": 194, "counts": [ 95, 57, 21, 13, 3, 2, 3 ], "sections": 3 }, "instructor_url": "/instructors/RAEGAN_OOTEN--instructor_3b74283fb05f9d5567262691" }, { "instructor_uid": "instructor_5038b575ccbaa81edfb52d3f", "source": "madgrades", "source_instructor_id": "6313312", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MELODY HARVEY", "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": 9, "quality": 1.78, "difficulty": 2.11, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2679424", "source_url": "https://www.ratemyprofessors.com/professor/2679424", "match_basis": "exact_name", "observed_at": "2026-09-07 16:18:51.260147+00:00", "courses": { "course_638859174a993830eb375b8f": { "review_count": 3, "quality": 2, "difficulty": 1.33, "quality_count": 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12, 3, 0, 0, 1 ], "sections": 2 }, "instructor_url": "/instructors/RILEY_FORD" }, { "instructor_uid": "instructor_6f89e01adb83a3576653b877", "source": "madgrades", "source_instructor_id": "6762387", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SIHYUN LEE", "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": 3.623, "graded": 142, "counts": [ 71, 50, 11, 7, 2, 1, 0 ], "sections": 3 }, "instructor_url": "/instructors/SIHYUN_LEE--instructor_6f89e01adb83a3576653b877" }, { "instructor_uid": "instructor_795e38ecca95e2ae99353ef5", "source": "madgrades", "source_instructor_id": "6288899", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ASUDE AYDAGUL", "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": 3.545, "graded": 279, "counts": [ 117, 103, 40, 11, 6, 1, 1 ], "sections": 7 }, "instructor_url": "/instructors/ASUDE_AYDAGUL--instructor_795e38ecca95e2ae99353ef5" }, { "instructor_uid": "instructor_7caf78f29c2b132dde63cd0e", "source": "madgrades", "source_instructor_id": "6490064", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BELKIS CERRATO CACERES", "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": 3.505, "graded": 791, "counts": [ 307, 295, 126, 40, 15, 4, 4 ], "sections": 19 }, "instructor_url": "/instructors/BELKIS_CERRATO_CACERES--instructor_7caf78f29c2b132dde63cd0e" }, { "instructor_uid": "instructor_b618e67eea299305c90c6337", "source": "madgrades", "source_instructor_id": "6761221", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SUNANDA DE", "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": 3.472, "graded": 145, "counts": [ 60, 46, 25, 9, 2, 1, 2 ], "sections": 3 }, "instructor_url": "/instructors/SUNANDA_DE--instructor_b618e67eea299305c90c6337" }, { "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_2362e0a545d3569cab66641b", "source": "enrollment", "source_instructor_id": "slee2493", "identity_basis": "netid", "identity_status": "source_identified", "name": "Sihyun Lee", "email": "SLEE2493@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/SIHYUN_LEE" }, { "instructor_uid": "instructor_664c988ac8d0d70824bd0782", "source": "enrollment", "source_instructor_id": "ojassey", "identity_basis": "netid", "identity_status": "source_identified", "name": "Omar Jassey", "email": "OJASSEY@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/OMAR_JASSEY" }, { "instructor_uid": "instructor_6fa1515925403758f35dcb86", "source": "enrollment", "source_instructor_id": "maharvey3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Melody Harvey", "email": "MAHARVEY3@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": 9, "quality": 1.78, "difficulty": 2.11, "quality_count": 9, "difficulty_count": 9, "profile_id": "rmp:2679424", "source_url": "https://www.ratemyprofessors.com/professor/2679424", "match_basis": "exact_name", "observed_at": "2026-09-07 16:18:51.260147+00:00", "courses": { "course_638859174a993830eb375b8f": { "review_count": 3, "quality": 2, "difficulty": 1.33, "quality_count": 3, "difficulty_count": 3 }, "course_bc61e79da96215de764ee362": { "review_count": 4, "quality": 2, "difficulty": 2.25, "quality_count": 4, "difficulty_count": 4 }, "course_20e7716682ffbf9e31ed297b": { "review_count": 2, "quality": 1, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.076335023135583, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MELODY_HARVEY" }, { "instructor_uid": "instructor_91559de2577b08f8a02963d5", "source": "enrollment", "source_instructor_id": "fathema", "identity_basis": "netid", "identity_status": "source_identified", "name": "Nafsaniath Fathema", "email": "FATHEMA@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/NAFSANIATH_FATHEMA" }, { "instructor_uid": "instructor_eba6509156bf69057067a62d", "source": "enrollment", "source_instructor_id": "cerratocacer", "identity_basis": "netid", "identity_status": "source_identified", "name": "Belkis Cerrato Caceres", "email": "CERRATOCACER@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/BELKIS_CERRATO_CACERES" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "FENABA ADDO" ], "a": 3, "ab": 9, "b": 9, "bc": 10, "c": 3, "d": 5, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 39, "source_aliases": [ "CNSRSCI 201" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "BRIAN MARSDEN", "FENABA ADDO" ], "a": 17, "ab": 16, "b": 4, "bc": 2, "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": 41, "source_aliases": [ "CNSRSCI 201" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "YUE LU" 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15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "FENABA ADDO", "LINDIANDIAN YI", "MOONHOON CHOI" ], "a": 55, "ab": 35, "b": 4, "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": 99, "source_aliases": [ "CNSRSCI 201" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Patricia Sigler" ], "a": 70, "ab": 20, "b": 10, "bc": 2, "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": 102, "source_aliases": [ "CNSRSCI 201" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Patricia Sigler" ], "a": 80, "ab": 39, "b": 11, "bc": 3, "c": 1, "d": 0, "f": 0, "satisfactory": 13, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 147, "source_aliases": [ "CNSRSCI 201" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "FENABA ADDO", "LINDIANDIAN YI" ], "a": 82, "ab": 51, "b": 13, "bc": 3, "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": 149, "source_aliases": [ "CNSRSCI 201" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Patricia Sigler" ], "a": 134, "ab": 29, "b": 13, "bc": 8, "c": 3, "d": 3, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 3, "no_work": 0, "not_reported": 0, "other": 0, "total": 193, "source_aliases": [ "CNSRSCI 201" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "MACKENZIE JAHN", "Patricia Sigler", "YILING ZHANG" ], "a": 151, "ab": 19, "b": 9, "bc": 12, "c": 5, "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": 197, "source_aliases": [ "CNSRSCI 201" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Ishita Chakraborty", "KRISTA LAURING", "Patricia Sigler", "YILING ZHANG" ], "a": 125, "ab": 39, "b": 12, "bc": 7, "c": 6, "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": 190, "source_aliases": [ "CNSRSCI 201" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Ishita Chakraborty", "KRISTA LAURING", "Nafsaniath Fathema", "YILING ZHANG" ], "a": 103, "ab": 28, "b": 9, "bc": 10, "c": 2, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 155, "source_aliases": [ "CNSRSCI 201" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Ishita Chakraborty", "JILL HUIZENGA", "LAURI LUOSTA", "Nafsaniath Fathema", "Patricia Sigler", "RISHABH LAKHOTIA", "YILING ZHANG" ], "a": 172, "ab": 50, "b": 19, "bc": 6, "c": 6, "d": 3, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 258, "source_aliases": [ "CNSRSCI 201" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Ishita Chakraborty", "LAURI LUOSTA", "MAHESH RANGABHAT", "Nancy Wong", "Patricia Sigler", "YILING ZHANG" ], "a": 178, "ab": 76, "b": 20, "bc": 17, "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": 293, "source_aliases": [ "CNSRSCI 201" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Gisella Kagy", "LAURI LUOSTA", "LOGAN HASH", "MAHESH RANGABHAT", "MICAH NELSON", "Melissa Bublitz", "Nafsaniath Fathema", "SHARAN MEHRA" ], "a": 178, "ab": 95, "b": 18, "bc": 10, "c": 4, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 308, "source_aliases": [ "CNSRSCI 201" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "HALLIE WELSH", "MAHESH RANGABHAT", "Nafsaniath Fathema", "Patricia Sigler", "SHARAN MEHRA" ], "a": 157, "ab": 42, "b": 11, "bc": 6, "c": 7, "d": 2, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 226, "source_aliases": [ "CNSRSCI 201" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Asude Aydagul", "Belkis Cerrato Caceres", "Melody Harvey", "RILEY FORD", "Raegan Ooten", "Sihyun Lee", "Sunanda De" ], "a": 132, "ab": 98, "b": 28, "bc": 20, "c": 2, "d": 1, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 285, "source_aliases": [ "CNSRSCI 201" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 201", "course_uid": "course_5b03739520d8d0f6aba32236", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Asude Aydagul", "Belkis Cerrato Caceres", "Jeff Meyer", "Patricia Sigler", "RILEY FORD", "Raegan Ooten", "Sihyun Lee" ], "a": 150, "ab": 77, "b": 28, "bc": 11, "c": 4, "d": 3, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 275, "source_aliases": [ "CNSRSCI 201" ] } ] ``` ### statistics #### gpa 3.658 #### graded 3285 #### counts * 1959 * 811 * 274 * 155 * 56 * 22 * 8 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_5b03739520d8d0f6aba32236-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_5b03739520d8d0f6aba32236-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_5b03739520d8d0f6aba32236-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_5b03739520d8d0f6aba32236-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_5b03739520d8d0f6aba32236-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_5b03739520d8d0f6aba32236-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_5b03739520d8d0f6aba32236-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_5b03739520d8d0f6aba32236-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.658447488584475 #### count 3285 #### university ##### size 5265 ##### gpa Percentile 37 ##### count Percentile 97 ##### 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": 52, "countPercentile": 94, "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 2.730769230769231 ##### count 39 ##### university ###### size 965 ###### gpa Percentile 2 ###### count Percentile 18 ###### 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 | true | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 14, "gpaPercentile": 0, "countPercentile": 0, "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": true }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.5365853658536586 ##### count 41 ##### university ###### size 991 ###### gpa Percentile 55 ###### count Percentile 23 ###### 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": 62, "countPercentile": 15, "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 3.6862745098039214 ##### count 51 ##### university ###### size 955 ###### gpa Percentile 69 ###### count Percentile 35 ###### 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": 62, "countPercentile": 31, "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 } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.3010752688172045 ##### count 93 ##### university ###### size 1025 ###### gpa Percentile 32 ###### count Percentile 65 ###### 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": 19, "countPercentile": 69, "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 3.764423076923077 ##### count 104 ##### university ###### size 1010 ###### gpa Percentile 75 ###### count Percentile 71 ###### 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": 75, "countPercentile": 69, "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 3.53 ##### count 100 ##### university ###### size 1077 ###### gpa Percentile 48 ###### count Percentile 68 ###### 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 | true | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 18, "gpaPercentile": 41, "countPercentile": 76, "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": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.707070707070707 ##### count 99 ##### university ###### size 1040 ###### gpa Percentile 68 ###### count Percentile 69 ###### 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": 75, "countPercentile": 69, "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 3.7745098039215685 ##### count 102 ##### university ###### size 1102 ###### gpa Percentile 73 ###### count Percentile 69 ###### 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": 81, "countPercentile": 69, "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 3.7238805970149254 ##### count 134 ##### university ###### size 1012 ###### gpa Percentile 47 ###### count Percentile 80 ###### 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": 56, "countPercentile": 88, "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 3.7114093959731544 ##### count 149 ##### university ###### size 1111 ###### gpa Percentile 58 ###### count Percentile 80 ###### 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": 47, "countPercentile": 94, "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 3.713157894736842 ##### count 190 ##### university ###### size 1157 ###### gpa Percentile 59 ###### count Percentile 86 ###### 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": 60, "countPercentile": 95, "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 3.748730964467005 ##### count 197 ##### university ###### size 1171 ###### gpa Percentile 63 ###### count Percentile 89 ###### 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 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 20, "gpaPercentile": 79, "countPercentile": 100, "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": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.7 ##### count 190 ##### university ###### size 1216 ###### gpa Percentile 58 ###### 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 | 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": 68, "countPercentile": 89, "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 3.7058823529411766 ##### count 153 ##### university ###### size 1188 ###### gpa Percentile 57 ###### count Percentile 82 ###### 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": 67, "countPercentile": 83, "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 3.682170542635659 ##### count 258 ##### university ###### size 1295 ###### gpa Percentile 52 ###### count Percentile 91 ###### 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": 30, "countPercentile": 95, "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 3.7013651877133107 ##### count 293 ##### university ###### size 1241 ###### gpa Percentile 55 ###### count Percentile 93 ###### 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": 59, "countPercentile": 100, "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 3.692182410423453 ##### count 307 ##### university ###### size 1333 ###### gpa Percentile 52 ###### count Percentile 92 ###### 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": 41, "countPercentile": 91, "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 3.7123893805309733 ##### count 226 ##### university ###### size 1289 ###### gpa Percentile 54 ###### count Percentile 90 ###### 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": 64, "countPercentile": 86, "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 3.556338028169014 ##### count 284 ##### university ###### size 1320 ###### gpa Percentile 35 ###### count Percentile 91 ###### 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 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 21, "gpaPercentile": 35, "countPercentile": 90, "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": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.6072727272727274 ##### count 275 ##### university ###### size 1283 ###### gpa Percentile 40 ###### count Percentile 91 ###### 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": 57, "countPercentile": 90, "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 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_dcc1a85d04f35e1240ed8a6d", "name": "PATRICIA SIGLER", "count": 1060, "terms": [ { "term": "1202", "count": 102, "sections": 2, "gpa": 3.7745098039215685 }, { "term": "1204", "count": 134, "sections": 2, "gpa": 3.7238805970149254 }, { "term": "1222", "count": 190, "sections": 2, "gpa": 3.713157894736842 }, { "term": "1224", "count": 197, "sections": 2, "gpa": 3.748730964467005 }, { "term": "1232", "count": 142, "sections": 2, "gpa": 3.6549295774647885 }, { "term": "1242", "count": 60, "sections": 1, "gpa": 3.6333333333333333 }, { "term": "1244", "count": 88, "sections": 1, "gpa": 3.6193181818181817 }, { "term": "1254", "count": 77, "sections": 1, "gpa": 3.74025974025974 }, { "term": "1264", "count": 70, "sections": 1, "gpa": 3.692857142857143 } ] }, { "uid": "instructor_319683fd1aff8e930d5ac783", "name": "YILING ZHANG", "count": 431, "terms": [ { "term": "1224", "count": 197, "sections": 2, "gpa": 3.748730964467005 }, { "term": "1232", "count": 48, "sections": 1, "gpa": 3.8333333333333335 }, { "term": "1234", "count": 36, "sections": 1, "gpa": 3.8333333333333335 }, { "term": "1242", "count": 64, "sections": 1, "gpa": 3.890625 }, { "term": "1244", "count": 86, "sections": 1, "gpa": 3.7906976744186047 } ] }, { "uid": "instructor_c24ff0124370238c9d8768f0", "name": "FENABA ADDO", "count": 428, "terms": [ { "term": "1164", "count": 39, "sections": 1, "gpa": 2.730769230769231 }, { "term": "1172", "count": 41, "sections": 1, "gpa": 3.5365853658536586 }, { "term": "1192", "count": 100, "sections": 2, "gpa": 3.53 }, { "term": "1194", "count": 99, "sections": 2, "gpa": 3.707070707070707 }, { "term": "1212", "count": 149, "sections": 1, "gpa": 3.7114093959731544 } ] }, { "uid": "instructor_2c54f859a9986bfd741072be", "name": "NAFSANIATH FATHEMA", "count": 412, "terms": [ { "term": "1234", "count": 117, "sections": 2, "gpa": 3.6666666666666665 }, { "term": "1242", "count": 66, "sections": 2, "gpa": 3.537878787878788 }, { "term": "1252", "count": 80, "sections": 1, "gpa": 3.70625 }, { "term": "1254", "count": 149, "sections": 3, "gpa": 3.697986577181208 } ] }, { "uid": "instructor_2ea5ece33ac39baac276b624", "name": "SANCHITA CHAKRABORTY", "count": 362, "terms": [ { "term": "1232", "count": 93, "sections": 1, "gpa": 3.661290322580645 }, { "term": "1234", "count": 36, "sections": 1, "gpa": 3.8333333333333335 }, { "term": "1242", "count": 60, "sections": 1, "gpa": 3.6333333333333333 }, { "term": "1244", "count": 173, "sections": 2, "gpa": 3.653179190751445 } ] }, { "uid": "instructor_5a5f0a519e04952afbc31a8e", "name": "MAHESH RANGABHAT", "count": 273, "terms": [ { "term": "1244", "count": 120, "sections": 2, "gpa": 3.7708333333333335 }, { "term": "1252", "count": 76, "sections": 1, "gpa": 3.848684210526316 }, { "term": "1254", "count": 77, "sections": 1, "gpa": 3.74025974025974 } ] }, { "uid": "instructor_4d5032e706c1b2e8e9a9909e", "name": "LINDIANDIAN YI", "count": 248, "terms": [ { "term": "1194", "count": 99, "sections": 2, "gpa": 3.707070707070707 }, { "term": "1212", "count": 149, "sections": 1, "gpa": 3.7114093959731544 } ] }, { "uid": "instructor_7caf78f29c2b132dde63cd0e", "name": "BELKIS CERRATO CACERES", "count": 219, "terms": [ { "term": "1262", "count": 151, "sections": 3, "gpa": 3.6688741721854305 }, { "term": "1264", "count": 68, "sections": 1, "gpa": 3.6911764705882355 } ] }, { "uid": "instructor_fbad783ccc8eb12fb6e11d16", "name": "KRISTA LAURING", "count": 214, "terms": [ { "term": "1232", "count": 97, "sections": 2, "gpa": 3.7371134020618557 }, { "term": "1234", "count": 117, "sections": 2, "gpa": 3.6666666666666665 } ] }, { "uid": "instructor_c03a26f60f320416fa9256a7", "name": "MACKENZIE JAHN", "count": 197, "terms": [ { "term": "1224", "count": 197, "sections": 2, "gpa": 3.748730964467005 } ] }, { "uid": "instructor_3b74283fb05f9d5567262691", "name": "RAEGAN OOTEN", "count": 194, "terms": [ { "term": "1262", "count": 55, "sections": 1, "gpa": 3.390909090909091 }, { "term": "1264", "count": 139, "sections": 2, "gpa": 3.5719424460431655 } ] }, { "uid": "instructor_5bea6bfaf4b60dea69142729", "name": "LAURI LUOSTA", "count": 177, "terms": [ { "term": "1242", "count": 68, "sections": 1, "gpa": 3.6691176470588234 }, { "term": "1244", "count": 34, "sections": 1, "gpa": 3.7205882352941178 }, { "term": "1252", "count": 75, "sections": 2, "gpa": 3.7 } ] }, { "uid": "instructor_af5e1a1cdabcaad7f3c23963", "name": "SHARAN MEHRA", "count": 158, "terms": [ { "term": "1252", "count": 76, "sections": 1, "gpa": 3.513157894736842 }, { "term": "1254", "count": 82, "sections": 2, "gpa": 3.6280487804878048 } ] }, { "uid": "instructor_f2d2934885c4563c58f8b55c", "name": "MOONHOON CHOI", "count": 148, "terms": [ { "term": "1182", "count": 44, "sections": 1, "gpa": 3.340909090909091 }, { "term": "1184", "count": 54, "sections": 1, "gpa": 3.8981481481481484 }, { "term": "1194", "count": 50, "sections": 1, "gpa": 3.85 } ] }, { "uid": "instructor_6253d8d43bee274dbeb06039", "name": "RILEY FORD", "count": 145, "terms": [ { "term": "1262", "count": 77, "sections": 1, "gpa": 3.688311688311688 }, { "term": "1264", "count": 68, "sections": 1, "gpa": 3.6911764705882355 } ] }, { "uid": "instructor_6f89e01adb83a3576653b877", "name": "SIHYUN LEE", "count": 142, "terms": [ { "term": "1262", "count": 74, "sections": 2, "gpa": 3.6486486486486487 }, { "term": "1264", "count": 68, "sections": 1, "gpa": 3.5955882352941178 } ] }, { "uid": "instructor_92d3010ba97c608333cb743e", "name": "RISHABH LAKHOTIA", "count": 130, "terms": [ { "term": "1242", "count": 130, "sections": 3, "gpa": 3.7115384615384617 } ] }, { "uid": "instructor_795e38ecca95e2ae99353ef5", "name": "ASUDE AYDAGUL", "count": 123, "terms": [ { "term": "1262", "count": 55, "sections": 1, "gpa": 3.390909090909091 }, { "term": "1264", "count": 68, "sections": 1, "gpa": 3.5955882352941178 } ] }, { "uid": "instructor_4f6718b5e8873eb767a60d34", "name": "JESSICA ANN VIESSELMANN", "count": 99, "terms": [ { "term": "1182", "count": 49, "sections": 1, "gpa": 3.2653061224489797 }, { "term": "1184", "count": 50, "sections": 1, "gpa": 3.62 } ] }, { "uid": "instructor_ef18ec3d760ff5d93e103acf", "name": "NANCY WONG", "count": 85, "terms": [ { "term": "1244", "count": 85, "sections": 1, "gpa": 3.6882352941176473 } ] }, { "uid": "instructor_b3db9ad6c15bfd5b51b1e80e", "name": "MICAH NELSON", "count": 80, "terms": [ { "term": "1252", "count": 80, "sections": 1, "gpa": 3.70625 } ] }, { "uid": "instructor_5038b575ccbaa81edfb52d3f", "name": "MELODY HARVEY", "count": 78, "terms": [ { "term": "1262", "count": 78, "sections": 1, "gpa": 3.4551282051282053 } ] }, { "uid": "instructor_b618e67eea299305c90c6337", "name": "SUNANDA DE", "count": 78, "terms": [ { "term": "1262", "count": 78, "sections": 1, "gpa": 3.4551282051282053 } ] }, { "uid": "instructor_021a3fee3b25a1a5d5e8983c", "name": "MELISSA BUBLITZ", "count": 76, "terms": [ { "term": "1252", "count": 76, "sections": 1, "gpa": 3.513157894736842 } ] }, { "uid": "instructor_03d1968a4896d4eb5cdc7302", "name": "GISELLA KAGY", "count": 76, "terms": [ { "term": "1252", "count": 76, "sections": 1, "gpa": 3.848684210526316 } ] }, { "uid": "instructor_806cf1485919a0e2f3aa2580", "name": "LOGAN HASH", "count": 75, "terms": [ { "term": "1252", "count": 75, "sections": 2, "gpa": 3.7 } ] }, { "uid": "instructor_b55ae5dc573d44d001d334c0", "name": "JEFFREY MEYER", "count": 69, "terms": [ { "term": "1264", "count": 69, "sections": 1, "gpa": 3.449275362318841 } ] }, { "uid": "instructor_808dda0156d2898af107f9f2", "name": "JILL HUIZENGA", "count": 68, "terms": [ { "term": "1242", "count": 68, "sections": 1, "gpa": 3.6691176470588234 } ] }, { "uid": "instructor_1428b65ad6966def20f10402", "name": "HALLIE WELSH", "count": 67, "terms": [ { "term": "1254", "count": 67, "sections": 1, "gpa": 3.783582089552239 } ] }, { "uid": "instructor_e3727b3f52f1b19166a3d317", "name": "YUE LU", "count": 51, "terms": [ { "term": "1174", "count": 51, "sections": 1, "gpa": 3.6862745098039214 } ] }, { "uid": "instructor_5cb4753e6e56ba9f1f2c2301", "name": "BRIAN MARSDEN", "count": 41, "terms": [ { "term": "1172", "count": 41, "sections": 1, "gpa": 3.5365853658536586 } ] } ] ``` ## following | code | title | | ----------- | ------------------------------ | | CNSRSCI 301 | CONSUMER ANALYTICS | | CNSRSCI 561 | CONSUMER ENGAGEMENT STRATEGIES | ## projection ### target 1272 ### interval #### lower 3.33 #### upper 3.98 #### coverage 80 #### terms 8 ### gpa 3.653612142277132 ### grades | grade | percentage | | ----- | ------------------ | | A | 58.93077528576701 | | AB | 26.30506500248172 | | B | 7.525909536052841 | | BC | 4.387028847796727 | | C | 1.6356858845125288 | | D | 0.753713079283745 | | F | 0.4618223641054159 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 1229 ### same Season true ### historical Range * 3.556338028169014 * 3.7131578947368418 ### backtest #### terms 8 #### gpa Error 0.10864619128614428 #### mix Error 16.187860459300285