# CNSRSCI 175: Introduction to Consumer Finance | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CNSRSCI_175) ## 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 419d9115bfd8484de66338457d68e3ee76b138c1640e154f08598c8b39b0083c ### course id CNSRSCI 175 ### course uid course\_0ccd5db02b38b5e991f4e423 ### catalog version id 018816ad681a2ab345b856bc496c948858de4caf41564193addac0ac57386581 ### course number 175 ### subjects * CNSRSCI ### title INTRODUCTION TO CONSUMER FINANCE ### description Introduction to consumer finance and the concepts and methods used in consumer planning and financial management. Topics covered include budgeting, credit, investing, insurance, taxes, retirement, estate planning, mortgages, and an introduction to behavioral finance. Discuss methods for calculating, planning, and allocating resources to attain specific financial objectives. ### requirements text None ### credits min 3 ### credits max 3 ### credit offering ids * 1272:271:026766 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 7b3b213f315ebe42edc3fa2c37920196a627b84a72088e82cecc03566a035e50 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to consumer finance covering budgeting, credit, investing, and financial planning methods. ### llm topics * Budgeting and credit management * Investing and insurance fundamentals * Taxes, retirement, and estate planning * Mortgages and behavioral finance ### llm skills * Financial planning and resource allocation * Consumer financial management concepts ### llm assumed background None recorded. ### llm search phrases * consumer finance basics * personal budgeting and credit * financial planning for students * intro to investing and insurance ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash b3ea198aff5367e04bc6b124fdbc59698d6c77b7c3449715bdb548586679853a #### course id CNSRSCI 175 #### current instructors ```json [ { "instructor_uid": "instructor_5c27bff75926780a99baeb9f", "message": "No course-specific reviews available", "name": "Chad Whitzel", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_6a9b54793afb135281109c8f", "message": "No course-specific reviews available", "name": "Chen Xu", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2025: 3.77 GPA, 90.6% A/AB (n=374 letter grades); Fall 2025: 3.80 GPA, 89.1% A/AB (n=394 letter grades); Spring 2026: 3.76 GPA, 90.3% A/AB (n=393 letter grades). ```json { "citations": [ { "course_id": "CNSRSCI 175", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "ebeabfb8-ea9d-36b6-8f61-d8e7bee161a2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 175", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "ebeabfb8-ea9d-36b6-8f61-d8e7bee161a2", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 175", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "ebeabfb8-ea9d-36b6-8f61-d8e7bee161a2", "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 None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "None", "course": null, "evidence": "None", "id": "source_requirements", "kind": "condition" } ] ``` #### notes * Display fallback using original requirements text; not an LLM-parsed rule. #### root source\_requirements #### status needs\_review ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------------ | ---------------------- | -------------------------------- | -------------------------------- | -------------------------- | | instructor\_5c27bff75926780a99baeb9f | enrollment | whitzel | netid | source\_identified | Chad Whitzel | CHAD.WHITZEL\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/CHAD\_WHITZEL | | instructor\_6a9b54793afb135281109c8f | enrollment | cxu399 | netid | source\_identified | Chen Xu | CXU399\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/CHEN\_XU | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:271:026766", "course_id": "CNSRSCI 175", "course_uid": "course_0ccd5db02b38b5e991f4e423", "term_id": "1272", "source_course_id": "026766", "source_subject_id": "271", "title": "Introduction to Consumer Finance", "credits_min": 3, "credits_max": 3, "typically_offered": "Not Applicable" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:29790", "term_id": "1272", "source_section_id": "29790", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 200, "enrolled": 200, "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:1272:29791", "term_id": "1272", "source_section_id": "29791", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 200, "enrolled": 193, "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_ed0b2501e43f83fffe7dbc67", "source": "madgrades", "source_instructor_id": "3808620", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LINDSAY PETERS", "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": 3.793, "graded": 3227, "counts": [ 2602, 312, 152, 76, 42, 11, 32 ], "sections": 26 }, "instructor_url": "/instructors/LINDSAY_PETERS--instructor_ed0b2501e43f83fffe7dbc67" }, { "instructor_uid": "instructor_8ef48f0ea57625a546da2bb7", "source": "madgrades", "source_instructor_id": "5355510", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LINDA FRANCETIC LEPE", "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": 3.514, "graded": 4246, "counts": [ 2119, 1071, 563, 286, 126, 41, 40 ], "sections": 66 }, "instructor_url": "/instructors/LINDA_FRANCETIC_LEPE--instructor_8ef48f0ea57625a546da2bb7" }, { "instructor_uid": "instructor_5c27bff75926780a99baeb9f", "source": "enrollment", "source_instructor_id": "whitzel", "identity_basis": "netid", "identity_status": "source_identified", "name": "Chad Whitzel", "email": "CHAD.WHITZEL@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/CHAD_WHITZEL" }, { "instructor_uid": "instructor_6a9b54793afb135281109c8f", "source": "enrollment", "source_instructor_id": "cxu399", "identity_basis": "netid", "identity_status": "source_identified", "name": "Chen Xu", "email": "CXU399@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/CHEN_XU" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 175", "course_uid": "course_0ccd5db02b38b5e991f4e423", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Lindsay Peters" ], "a": 311, "ab": 53, "b": 11, "bc": 7, "c": 4, "d": 1, "f": 3, "satisfactory": 5, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 395, "source_aliases": [ "CNSRSCI 175" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 175", "course_uid": "course_0ccd5db02b38b5e991f4e423", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Lindsay Peters" ], "a": 283, "ab": 56, "b": 13, "bc": 13, "c": 5, "d": 2, "f": 2, "satisfactory": 9, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 383, "source_aliases": [ "CNSRSCI 175" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 175", "course_uid": "course_0ccd5db02b38b5e991f4e423", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Lindsay Peters" ], "a": 309, "ab": 42, "b": 28, "bc": 8, "c": 5, "d": 0, "f": 2, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 396, "source_aliases": [ "CNSRSCI 175" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 175", "course_uid": "course_0ccd5db02b38b5e991f4e423", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Linda Francetic Lepe", "Lindsay Peters" ], "a": 295, "ab": 60, "b": 18, "bc": 8, "c": 6, "d": 2, "f": 4, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 395, "source_aliases": [ "CNSRSCI 175" ] } ] ``` ### statistics #### gpa 3.788 #### graded 1551 #### counts * 1198 * 211 * 70 * 36 * 20 * 5 * 11 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_0ccd5db02b38b5e991f4e423-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_0ccd5db02b38b5e991f4e423-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_0ccd5db02b38b5e991f4e423-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_0ccd5db02b38b5e991f4e423-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_0ccd5db02b38b5e991f4e423-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_0ccd5db02b38b5e991f4e423-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.788201160541586 #### count 1551 #### university ##### size 3197 ##### gpa Percentile 55 ##### count Percentile 98 ##### median Count 84 ##### 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 | 186 | false | | 3.2–3.6 | 823 | false | | 3.6–4.0 | 2174 | true | #### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 26, "gpaPercentile": 76, "countPercentile": 96, "medianCount": 348.5, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` ### terms #### 1252 ##### term 1252 ##### gpa 3.817948717948718 ##### count 390 ##### university ###### size 1333 ###### gpa Percentile 68 ###### count Percentile 94 ###### 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": 77, "countPercentile": 95, "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 3.7740641711229945 ##### count 374 ##### university ###### size 1289 ###### gpa Percentile 62 ###### count Percentile 95 ###### 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": 77, "countPercentile": 95, "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 3.799492385786802 ##### count 394 ##### university ###### size 1320 ###### gpa Percentile 63 ###### count Percentile 94 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 21, "gpaPercentile": 75, "countPercentile": 95, "medianCount": 118, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.7608142493638677 ##### count 393 ##### university ###### size 1283 ###### gpa Percentile 58 ###### count Percentile 95 ###### 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": 86, "countPercentile": 95, "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 3197 ###### gpa 3.6857992704833213 ###### top Share 83.60953881467515 ###### count 84 ##### CNSRSCI ###### size 26 ###### gpa 3.620887123888827 ###### top Share 81.87365792192753 ###### count 348.5 #### terms ##### 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_ed0b2501e43f83fffe7dbc67", "name": "LINDSAY PETERS", "count": 1350, "terms": [ { "term": "1252", "count": 390, "sections": 2, "gpa": 3.817948717948718 }, { "term": "1254", "count": 374, "sections": 2, "gpa": 3.7740641711229945 }, { "term": "1262", "count": 394, "sections": 2, "gpa": 3.799492385786802 }, { "term": "1264", "count": 192, "sections": 1, "gpa": 3.7421875 } ] }, { "uid": "instructor_8ef48f0ea57625a546da2bb7", "name": "LINDA FRANCETIC LEPE", "count": 201, "terms": [ { "term": "1264", "count": 201, "sections": 1, "gpa": 3.7786069651741294 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.7910372005912185 ### grades | grade | percentage | | ----- | ------------------ | | A | 77.54012432414568 | | AB | 13.091416105160192 | | B | 4.939848758460754 | | BC | 2.192050192909526 | | C | 1.2812021091843877 | | D | 0.2611904184536159 | | F | 0.6941680916858531 | ### source Terms * 1264 * 1262 * 1254 * 1252 ### source Count 1551 ### same Season false ### historical Range * 3.760814249363867 * 3.817948717948718