# CNSRSCI 665: Household Risk Management | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CNSRSCI_665) ## 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 94a2d1bfbae8db6dae102d1e6808336caae74405fdd601204c057ffa814800bf ### course id CNSRSCI 665 ### course uid course\_29e9bfbc6e2e60d644b76734 ### catalog version id 7ea33ba491fab5f8ea5d9487298c588aa4e4cd56abf111a15019eb97ec2afb07 ### course number 665 ### subjects * CNSRSCI ### title HOUSEHOLD RISK MANAGEMENT ### description Application of advanced analytical techniques to examine household financial risk. Implications for financial planning of changes in family structure and earnings. Private and social insurance that guard against economic consequences of death, disability, ill health, retirement, marital dissolution. Use of financial planning software. ### requirements text (ECON 101or111) andCNSR SCI 275 ### credits min 3 ### credits max 3 ### credit offering ids * 1272:271:004659 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id ca051931bc23b9aac69bb0511deeb56be1ee3e2b36c768f897a014b150a7d81a ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Applies advanced analytical techniques to examine household financial risk and implications for financial planning. ### llm topics * Financial planning implications of family structure and earnings changes * Private and social insurance against economic consequences ### llm skills * Applying advanced analytical techniques to household financial risk * Using financial planning software ### llm assumed background * Foundational microeconomic principles * Personal financial planning fundamentals ### llm search phrases * household financial risk analysis * family structure financial planning * private social insurance * financial planning software ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 3ea0f6c4ee44999405ac78c1a853a0e2afc9f440108094d4f3cfb2e01c2714bf #### course id CNSRSCI 665 #### current instructors ```json [ { "instructor_uid": "instructor_876fbe6bec94b11dca7e0aa0", "message": "No course-specific reviews available", "name": "Emma Crawford", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "CNSRSCI 665", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "5a52b412-cdb0-3770-99a6-4728a6f14b90", "source_record": { "entity_id": "5a52b412-cdb0-3770-99a6-4728a6f14b90", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2025: 3.87 GPA, 97.7% A/AB (n=87 letter grades). Includes jointly taught sections." } ] }, { "instructor_uid": "instructor_6c4379ca7f42c9ca0dc4e4c2", "message": "No course-specific reviews available", "name": "Maheen Akram", "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: 3.83 GPA, 89.5% A/AB (n=38 letter grades); Fall 2025: 3.87 GPA, 97.7% A/AB (n=87 letter grades); Spring 2026: 3.68 GPA, 91.8% A/AB (n=49 letter grades). ```json { "citations": [ { "course_id": "CNSRSCI 665", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "5a52b412-cdb0-3770-99a6-4728a6f14b90", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 665", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "5a52b412-cdb0-3770-99a6-4728a6f14b90", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 665", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "5a52b412-cdb0-3770-99a6-4728a6f14b90", "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 EMMA CRAWFORD is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "CNSRSCI 665", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "5a52b412-cdb0-3770-99a6-4728a6f14b90", "source_record": { "entity_id": "5a52b412-cdb0-3770-99a6-4728a6f14b90", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 665", "run_id": "20260907T155543-ce3781c4", "section_number": 102, "source_course_id": "5a52b412-cdb0-3770-99a6-4728a6f14b90", "source_record": { "entity_id": "5a52b412-cdb0-3770-99a6-4728a6f14b90", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "(ECON 101or111) andCNSR SCI 275", "id": "n0", "kind": "all" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "(ECON 101or111)", "id": "n1", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 101, "minimum_grade": null, "subjects": [ "ECON" ], "timing": "prior" }, "evidence": "ECON 101", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 111, "minimum_grade": null, "subjects": [ "ECON" ], "timing": "prior" }, "evidence": "111", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 275, "minimum_grade": null, "subjects": [ "CNSRSCI" ], "timing": "prior" }, "evidence": "CNSR SCI 275", "id": "n2", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------------- | ---------------------- | -------------------------------- | -------------------------------- | --------------------------- | | instructor\_876fbe6bec94b11dca7e0aa0 | enrollment | ecrawford2 | netid | source\_identified | Emma Crawford | ECRAWFORD2\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/EMMA\_CRAWFORD | | instructor\_6c4379ca7f42c9ca0dc4e4c2 | enrollment | akram3 | netid | source\_identified | Maheen Akram | MAHEEN.AKRAM\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/MAHEEN\_AKRAM | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:271:004659", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1272", "source_course_id": "004659", "source_subject_id": "271", "title": "Household Risk Management", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:29144", "term_id": "1272", "source_section_id": "29144", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 50, "enrolled": 49, "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:1272:37227", "term_id": "1272", "source_section_id": "37227", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Online Only", "capacity": 50, "enrolled": 50, "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_5f54e2797fb69a59b9bd4a47", "source": "madgrades", "source_instructor_id": "187476", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KAREN CLEO ANDERSON HOLDEN", "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": 3.702, "graded": 171, "counts": [ 93, 57, 18, 3, 0, 0, 0 ], "sections": 26 }, "instructor_url": "/instructors/KAREN_CLEO_ANDERSON_HOLDEN" }, { "instructor_uid": "instructor_3fe5d750648bd47de071e01d", "source": "madgrades", "source_instructor_id": "822030", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JON DAVID GOLDSTEIN", "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": 3.088, "graded": 239, "counts": [ 63, 49, 61, 27, 29, 6, 4 ], "sections": 8 }, "instructor_url": "/instructors/JON_DAVID_GOLDSTEIN" }, { "instructor_uid": "instructor_0144e0fb806605fb319bb552", "source": "madgrades", "source_instructor_id": "4542080", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JEFFREY HUNT", "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": 3.635, "graded": 26, "counts": [ 7, 19, 0, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/JEFFREY_HUNT" }, { "instructor_uid": "instructor_30b58d83f31b9f046e842b09", "source": "madgrades", "source_instructor_id": "245865", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RANDOLPH MULLIS", "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, "graded": 17, "counts": [ 3, 4, 2, 6, 2, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/RANDOLPH_MULLIS--instructor_30b58d83f31b9f046e842b09" }, { "instructor_uid": "instructor_b7274ba39347717ea3c4ae49", "source": "madgrades", "source_instructor_id": "4454304", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MAXIMILIAN SCHMEISER", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 1, "quality": 4, "difficulty": 3, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:1379868", "source_url": "https://www.ratemyprofessors.com/professor/1379868", "match_basis": "exact_name", "observed_at": "2026-09-07 16:19:22.323165+00:00", "courses": {}, "bayesian_quality": 3.675891222425329, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.481, "graded": 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"last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.716, "graded": 167, "counts": [ 113, 37, 10, 0, 4, 1, 2 ], "sections": 7 }, "instructor_url": "/instructors/CHEN_XU--instructor_7080c2af8de6de6246a76dcd" }, { "instructor_uid": "instructor_481b909a6ae6b63737a19a5a", "source": "madgrades", "source_instructor_id": "6456467", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SAKSHAM SINGH", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.547, "graded": 253, "counts": [ 109, 91, 34, 10, 7, 2, 0 ], "sections": 8 }, "instructor_url": "/instructors/SAKSHAM_SINGH--instructor_481b909a6ae6b63737a19a5a" }, { "instructor_uid": "instructor_9d6e4cc0cb2d777663893492", "source": "madgrades", "source_instructor_id": "4634009", "identity_basis": "source_id", "identity_status": "source_identified", "name": "EMMA CRAWFORD", "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": 3.641, "graded": 256, "counts": [ 162, 50, 19, 12, 9, 4, 0 ], "sections": 8 }, "instructor_url": "/instructors/EMMA_CRAWFORD--instructor_9d6e4cc0cb2d777663893492" }, { "instructor_uid": "instructor_565096968e44d6018e286d29", "source": "madgrades", "source_instructor_id": "6706070", "identity_basis": "source_id", "identity_status": "source_identified", "name": "OMAR JASSEY", "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": 3.715, "graded": 351, "counts": [ 250, 55, 24, 7, 9, 4, 2 ], "sections": 4 }, "instructor_url": "/instructors/OMAR_JASSEY--instructor_565096968e44d6018e286d29" }, { "instructor_uid": "instructor_6c4379ca7f42c9ca0dc4e4c2", "source": "enrollment", "source_instructor_id": "akram3", "identity_basis": "netid", "identity_status": "source_identified", "name": "Maheen Akram", "email": "MAHEEN.AKRAM@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/MAHEEN_AKRAM" }, { "instructor_uid": "instructor_876fbe6bec94b11dca7e0aa0", "source": "enrollment", "source_instructor_id": "ecrawford2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Emma Crawford", "email": "ECRAWFORD2@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/EMMA_CRAWFORD" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "KAREN CLEO ANDERSON HOLDEN" ], "a": 7, "ab": 10, "b": 12, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "JON DAVID GOLDSTEIN" ], "a": 3, "ab": 4, "b": 8, "bc": 6, "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": 30, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "JEFFREY HUNT" ], "a": 7, "ab": 19, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "RANDOLPH MULLIS" ], "a": 3, "ab": 4, "b": 2, "bc": 6, "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": 17, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "MAXIMILIAN SCHMEISER" ], "a": 12, "ab": 7, "b": 4, "bc": 2, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 27, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "MAXIMILIAN SCHMEISER" ], "a": 8, "ab": 8, "b": 4, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 21, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "JON DAVID GOLDSTEIN" ], "a": 5, "ab": 4, "b": 6, "bc": 4, "c": 5, "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": 24, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "JON DAVID GOLDSTEIN" ], "a": 9, "ab": 2, "b": 5, "bc": 4, "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": 22, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "ROBERT MCCALLA" ], "a": 10, "ab": 12, "b": 7, "bc": 5, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 35, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "ROBERT MCCALLA" ], "a": 7, "ab": 11, "b": 9, "bc": 8, "c": 1, "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": 37, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "Linda Francetic Lepe" ], "a": 7, "ab": 13, "b": 17, "bc": 7, "c": 5, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 50, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "LISA ANDREWS" ], "a": 16, "ab": 8, "b": 2, "bc": 1, "c": 0, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "LISA ANDREWS" ], "a": 8, "ab": 19, "b": 2, "bc": 5, "c": 0, "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": 47, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "LISA ANDREWS" ], "a": 13, "ab": 12, "b": 5, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "LISA ANDREWS" ], "a": 18, "ab": 15, "b": 11, "bc": 5, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 50, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "LISA ANDREWS" ], "a": 25, "ab": 14, "b": 2, "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": 46, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "LISA ANDREWS" ], "a": 37, "ab": 10, "b": 7, "bc": 6, "c": 2, "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": 63, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "LISA ANDREWS" ], "a": 56, "ab": 22, "b": 9, "bc": 3, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 91, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "LISA ANDREWS" ], "a": 18, "ab": 18, "b": 7, "bc": 7, "c": 1, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 54, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "LISA ANDREWS" ], "a": 61, "ab": 19, "b": 8, "bc": 4, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 93, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Chen Xu" ], "a": 31, "ab": 3, "b": 3, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 38, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Emma Crawford", "Saksham Singh" ], "a": 67, "ab": 18, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 87, "source_aliases": [ "CNSRSCI 665" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 665", "course_uid": "course_29e9bfbc6e2e60d644b76734", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Chen Xu", "Omar Jassey" ], "a": 40, "ab": 5, "b": 0, "bc": 0, "c": 1, "d": 1, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 49, "source_aliases": [ "CNSRSCI 665" ] } ] ``` ### statistics #### gpa 3.502 #### graded 980 #### counts * 468 * 257 * 132 * 79 * 29 * 9 * 6 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_29e9bfbc6e2e60d644b76734-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_29e9bfbc6e2e60d644b76734-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_29e9bfbc6e2e60d644b76734-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_29e9bfbc6e2e60d644b76734-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_29e9bfbc6e2e60d644b76734-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_29e9bfbc6e2e60d644b76734-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.5020408163265304 #### count 980 #### university ##### size 5340 ##### gpa Percentile 24 ##### count Percentile 88 ##### median Count 169 ##### 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 | 12 | false | | 2.8–3.2 | 332 | false | | 3.2–3.6 | 1428 | true | | 3.6–4.0 | 3568 | false | #### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 33, "gpaPercentile": 28, "countPercentile": 56, "medianCount": 904, "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": 10, "current": true }, { "range": "3.6–4.0", "count": 21, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.3833333333333333 ##### count 30 ##### university ###### size 723 ###### gpa Percentile 54 ###### count Percentile 0 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 62 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 306 | true | | 3.6–4.0 | 180 | false | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1082 ##### term 1082 ##### gpa 2.533333333333333 ##### count 30 ##### university ###### size 723 ###### gpa Percentile 1 ###### count Percentile 0 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 51 | true | | 2.8–3.2 | 202 | false | | 3.2–3.6 | 265 | false | | 3.6–4.0 | 204 | false | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1092 ##### term 1092 ##### gpa 3.6346153846153846 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1094 ##### term 1094 ##### gpa 3 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1102 ##### term 1102 ##### gpa 3.519230769230769 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1112 ##### term 1112 ##### gpa 3.5238095238095237 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1122 ##### term 1122 ##### gpa 3 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1132 ##### term 1132 ##### gpa 3.272727272727273 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1142 ##### term 1142 ##### gpa 3.357142857142857 ##### count 35 ##### university ###### size 853 ###### gpa Percentile 48 ###### count Percentile 10 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | false | | 3.2–3.6 | 320 | true | | 3.6–4.0 | 268 | false | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1152 ##### term 1152 ##### gpa 3.1486486486486487 ##### count 37 ##### university ###### size 918 ###### gpa Percentile 24 ###### count Percentile 15 ###### 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 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1162 ##### term 1162 ##### gpa 3.1020408163265305 ##### count 49 ##### university ###### size 954 ###### gpa Percentile 20 ###### count Percentile 35 ###### median Count 64.5 ###### 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 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | false | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1194 ##### term 1194 ##### gpa 3.5344827586206895 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1204 ##### term 1204 ##### gpa 3.4411764705882355 ##### count 34 ##### university ###### size 1012 ###### gpa Percentile 14 ###### count Percentile 10 ###### 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 | true | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 17, "gpaPercentile": 0, "countPercentile": 0, "medianCount": 71, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 2, "current": true }, { "range": "3.6–4.0", "count": 15, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.6333333333333333 ##### count 30 ##### university ###### size 1111 ###### gpa Percentile 48 ###### count Percentile 0 ###### 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": 29, "countPercentile": 0, "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 3.4 ##### count 50 ##### university ###### size 1157 ###### gpa Percentile 30 ###### count Percentile 37 ###### 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 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 21, "gpaPercentile": 20, "countPercentile": 40, "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": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.641304347826087 ##### count 46 ##### university ###### size 1171 ###### gpa Percentile 51 ###### count Percentile 31 ###### 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": 63, "countPercentile": 26, "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 3.5555555555555554 ##### count 63 ##### university ###### size 1216 ###### gpa Percentile 42 ###### count Percentile 48 ###### 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 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 20, "gpaPercentile": 21, "countPercentile": 42, "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": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.708791208791209 ##### count 91 ##### university ###### size 1295 ###### gpa Percentile 55 ###### count Percentile 63 ###### 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": 45, "countPercentile": 30, "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 3.330188679245283 ##### count 53 ##### university ###### size 1241 ###### gpa Percentile 21 ###### count Percentile 39 ###### 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 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 23, "gpaPercentile": 18, "countPercentile": 23, "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": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.725806451612903 ##### count 93 ##### university ###### size 1333 ###### gpa Percentile 56 ###### count Percentile 62 ###### 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": 59, "countPercentile": 32, "medianCount": 104, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 18, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.8289473684210527 ##### count 38 ##### university ###### size 1289 ###### gpa Percentile 70 ###### count Percentile 17 ###### 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": 91, "countPercentile": 5, "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 3.8735632183908044 ##### count 87 ##### university ###### size 1320 ###### gpa Percentile 75 ###### count Percentile 58 ###### 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": 90, "countPercentile": 25, "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 3.683673469387755 ##### count 49 ##### university ###### size 1283 ###### gpa Percentile 49 ###### count Percentile 34 ###### 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": 62, "countPercentile": 10, "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 5340 ###### gpa 3.679075969397893 ###### top Share 82.9949869154412 ###### count 169 ##### CNSRSCI ###### size 33 ###### gpa 3.637722301758262 ###### top Share 82.36797860601567 ###### count 904 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ##### 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 ##### 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 ##### 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_a50dad3d9921fd678be18a94", "name": "LISA ANDREWS", "count": 489, "terms": [ { "term": "1194", "count": 29, "sections": 1, "gpa": 3.5344827586206895 }, { "term": "1204", "count": 34, "sections": 1, "gpa": 3.4411764705882355 }, { "term": "1212", "count": 30, "sections": 1, "gpa": 3.6333333333333333 }, { "term": "1222", "count": 50, "sections": 2, "gpa": 3.4 }, { "term": "1224", "count": 46, "sections": 1, "gpa": 3.641304347826087 }, { "term": "1232", "count": 63, "sections": 2, "gpa": 3.5555555555555554 }, { "term": "1242", "count": 91, "sections": 2, "gpa": 3.708791208791209 }, { "term": "1244", "count": 53, "sections": 2, "gpa": 3.330188679245283 }, { "term": "1252", "count": 93, "sections": 3, "gpa": 3.725806451612903 } ] }, { "uid": "instructor_481b909a6ae6b63737a19a5a", "name": "SAKSHAM SINGH", "count": 87, "terms": [ { "term": "1262", "count": 87, "sections": 2, "gpa": 3.8735632183908044 } ] }, { "uid": "instructor_7080c2af8de6de6246a76dcd", "name": "CHEN XU", "count": 87, "terms": [ { "term": "1254", "count": 38, "sections": 2, "gpa": 3.8289473684210527 }, { "term": "1264", "count": 49, "sections": 1, "gpa": 3.683673469387755 } ] }, { "uid": "instructor_9d6e4cc0cb2d777663893492", "name": "EMMA CRAWFORD", "count": 87, "terms": [ { "term": "1262", "count": 87, "sections": 2, "gpa": 3.8735632183908044 } ] }, { "uid": "instructor_3fe5d750648bd47de071e01d", "name": "JON DAVID GOLDSTEIN", "count": 76, "terms": [ { "term": "1082", "count": 30, "sections": 1, "gpa": 2.533333333333333 }, { "term": "1122", "count": 24, "sections": 1, "gpa": 3 }, { "term": "1132", "count": 22, "sections": 1, "gpa": 3.272727272727273 } ] }, { "uid": "instructor_79c110a3d774f23d4c2f5e52", "name": "ROBERT MCCALLA", "count": 72, "terms": [ { "term": "1142", "count": 35, "sections": 1, "gpa": 3.357142857142857 }, { "term": "1152", "count": 37, "sections": 1, "gpa": 3.1486486486486487 } ] }, { "uid": "instructor_565096968e44d6018e286d29", "name": "OMAR JASSEY", "count": 49, "terms": [ { "term": "1264", "count": 49, "sections": 1, "gpa": 3.683673469387755 } ] }, { "uid": "instructor_8ef48f0ea57625a546da2bb7", "name": "LINDA FRANCETIC LEPE", "count": 49, "terms": [ { "term": "1162", "count": 49, "sections": 1, "gpa": 3.1020408163265305 } ] }, { "uid": "instructor_b7274ba39347717ea3c4ae49", "name": "MAXIMILIAN SCHMEISER", "count": 47, "terms": [ { "term": "1102", "count": 26, "sections": 1, "gpa": 3.519230769230769 }, { "term": "1112", "count": 21, "sections": 1, "gpa": 3.5238095238095237 } ] }, { "uid": "instructor_5f54e2797fb69a59b9bd4a47", "name": "KAREN CLEO ANDERSON HOLDEN", "count": 30, "terms": [ { "term": "1072", "count": 30, "sections": 1, "gpa": 3.3833333333333333 } ] }, { "uid": "instructor_0144e0fb806605fb319bb552", "name": "JEFFREY HUNT", "count": 26, "terms": [ { "term": "1092", "count": 26, "sections": 1, "gpa": 3.6346153846153846 } ] }, { "uid": "instructor_30b58d83f31b9f046e842b09", "name": "RANDOLPH MULLIS", "count": 17, "terms": [ { "term": "1094", "count": 17, "sections": 1, "gpa": 3 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.700892193524496 ### grades | grade | percentage | | ----- | ------------------- | | A | 63.566358039891746 | | AB | 21.69242408181543 | | B | 8.986890237797295 | | BC | 4.3202465495997 | | C | 0.9486282075371756 | | D | 0.24175940406306898 | | F | 0.24369347929557353 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 384 ### same Season true ### historical Range * 3.4000000000000004 * 3.8735632183908044