# CNSRSCI 562: The Global Consumer | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CNSRSCI_562) ## 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 e7056c618732d946e3466a76e8a0ad4b119b208fc5c5daed09ffe8d93eafb671 ### course id CNSRSCI 562 ### course uid course\_74bbf7f9b7609046ccbd4d78 ### catalog version id 8448849e31c22e66f4f89718f781ff7cc34f2e262019ed19e6f5c19e65d9ef4c ### course number 562 ### subjects * CNSRSCI ### title THE GLOBAL CONSUMER ### description Key issues in international retailing with consideration of the global consumer. ### requirements text CNSR SCI 257or graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:271:004648 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id f94c1e1b902258849d975cbe9c7796d88cb1f8f6d4d06ec12787f2d3fab6c04a ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary CNSRSCI 562 examines key issues in international retailing with a focus on the global consumer. ### llm topics * International retailing issues * The global consumer ### llm skills * Analysis of key issues in international retailing and the global consumer. ### llm assumed background * Foundational knowledge of the retail industry, including the retail process, evolution, key drivers, trends, and supporting concepts. ### llm search phrases * global retailing * international consumer behavior * CNSRSCI 562 global consumer * retail industry trends ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 0be65fac2d2679459c1e37ee218da161a8bffc5779546e67d0adc3bdb5bfebac #### course id CNSRSCI 562 #### current instructors ```json [ { "instructor_uid": "instructor_d8f2e918e993f5e7010af49d", "message": null, "name": "Mike Kallenberger", "review_status": "supported", "rmp_instructor_id": "rmp:2862813", "summary": [ { "citations": [ { "instructor_name": "Mike Kallenberger", "review_date": "2022-12-13 19:15:42 +0000 UTC", "review_id": "5f41ab548e98262bec541135", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2862813", "source_review_id": "UmF0aW5nLTM3MDk4OTE4", "source_url": "https://www.ratemyprofessors.com/professor/2862813", "type": "review" }, { "instructor_name": "Mike Kallenberger", "review_date": "2025-04-17 21:04:36 +0000 UTC", "review_id": "43acb350a88461578910aa05", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2862813", "source_review_id": "UmF0aW5nLTQwOTcwNzky", "source_url": "https://www.ratemyprofessors.com/professor/2862813", "type": "review" } ], "text": "Mike Kallenberger is described as engaging and knowledgeable, with industry experience enhancing his teaching. Reviewers highlight his clarity and the value of his practical insights in global consumerism." } ] } ] ``` #### difficulty workload The course is graded by two exams and one presentation, requiring students to attend class and absorb content. ```json { "citations": [ { "instructor_name": "Mike Kallenberger", "review_date": "2022-12-13 19:15:42 +0000 UTC", "review_id": "5f41ab548e98262bec541135", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2862813", "source_review_id": "UmF0aW5nLTM3MDk4OTE4", "source_url": "https://www.ratemyprofessors.com/professor/2862813", "type": "review" } ] } ``` #### errors None recorded. #### historical context None recorded. #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Mike Kallenberger is described as an engaging and great professor with an amazing class experience. ```json { "citations": [ { "instructor_name": "Mike Kallenberger", "review_date": "2022-12-13 19:15:42 +0000 UTC", "review_id": "5f41ab548e98262bec541135", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2862813", "source_review_id": "UmF0aW5nLTM3MDk4OTE4", "source_url": "https://www.ratemyprofessors.com/professor/2862813", "type": "review" }, { "instructor_name": "Mike Kallenberger", "review_date": "2025-04-17 21:04:36 +0000 UTC", "review_id": "43acb350a88461578910aa05", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2862813", "source_review_id": "UmF0aW5nLTQwOTcwNzky", "source_url": "https://www.ratemyprofessors.com/professor/2862813", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.54 GPA, 76.1% A/AB (n=71 letter grades); Fall 2025: 3.42 GPA, 73.7% A/AB (n=118 letter grades); Spring 2026: 3.45 GPA, 71.4% A/AB (n=56 letter grades). ```json { "citations": [ { "course_id": "CNSRSCI 562", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "2672de8c-3c1d-3748-9978-47d41f74ef49", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CNSRSCI 562", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "2672de8c-3c1d-3748-9978-47d41f74ef49", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "CNSRSCI 562", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "2672de8c-3c1d-3748-9978-47d41f74ef49", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Exams are considered nice because students only need to explain their answers well to receive credit. ```json { "citations": [ { "instructor_name": "Mike Kallenberger", "review_date": "2022-12-13 19:15:42 +0000 UTC", "review_id": "5f41ab548e98262bec541135", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2862813", "source_review_id": "UmF0aW5nLTM3MDk4OTE4", "source_url": "https://www.ratemyprofessors.com/professor/2862813", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "CNSR SCI 257or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 257, "minimum_grade": null, "subjects": [ "CNSRSCI" ], "timing": "prior" }, "evidence": "CNSR SCI 257", "id": "n1", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n2", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_d8f2e918e993f5e7010af49d", "source": "enrollment", "source_instructor_id": "kallenberger", "identity_basis": "netid", "identity_status": "source_identified", "name": "Mike Kallenberger", "email": "KALLENBERGER@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": 2, "quality": 5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2862813", "source_url": "https://www.ratemyprofessors.com/professor/2862813", "match_basis": "exact_name", "observed_at": "2026-09-07 16:15:10.771007+00:00", "courses": { "course_74bbf7f9b7609046ccbd4d78": { "review_count": 2, "quality": 5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.781532530496905, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MIKE_KALLENBERGER" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:271:004648", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1272", "source_course_id": "004648", "source_subject_id": "271", "title": "The Global Consumer", "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:1272:12442", "term_id": "1272", "source_section_id": "12442", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 58, "enrolled": 58, "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:1272:27507", "term_id": "1272", "source_section_id": "27507", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 58, "enrolled": 51, "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_7de2a08dfc50290126a1584f", "source": "madgrades", "source_instructor_id": "475025", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BETTY JANE HURD", "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": 408, "counts": [ 321, 43, 28, 8, 4, 2, 2 ], "sections": 9 }, "instructor_url": "/instructors/BETTY_JANE_HURD" }, { "instructor_uid": "instructor_ef18ec3d760ff5d93e103acf", "source": "madgrades", "source_instructor_id": "4433732", 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"source_id", "identity_status": "source_identified", "name": "PAUL GIBLER", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 4, "quality": 2, "difficulty": 2.75, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:1494022", "source_url": "https://www.ratemyprofessors.com/professor/1494022", "match_basis": "exact_name", "observed_at": "2026-09-07 16:12:29.339052+00:00", "courses": { "course_d68ae7a2fa68407d62f2519f": { "review_count": 1, "quality": 2, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.3830714862888294, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.663, "graded": 153, "counts": [ 80, 53, 16, 2, 1, 0, 1 ], "sections": 5 }, "instructor_url": "/instructors/PAUL_GIBLER--instructor_d78d15d1f33f03a2797f7ef0" }, { "instructor_uid": "instructor_9928806b67ca78c8bd998cb4", "source": 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"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_ea5d3604b3041758562ef9d5", "source": "madgrades", "source_instructor_id": "4441787", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL KALLENBERGER", "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": 3.551, "graded": 861, "counts": [ 314, 388, 113, 33, 10, 2, 1 ], "sections": 17 }, "instructor_url": "/instructors/MICHAEL_KALLENBERGER--instructor_ea5d3604b3041758562ef9d5" }, { "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_7ee28dc58548c97dd38384c2", "source": "madgrades", "source_instructor_id": "4298772", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MAJDI QUTTAINAH", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.625, "graded": 44, "counts": [ 17, 21, 6, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/MAJDI_QUTTAINAH--instructor_7ee28dc58548c97dd38384c2" }, { "instructor_uid": "instructor_d8f2e918e993f5e7010af49d", "source": "enrollment", "source_instructor_id": "kallenberger", "identity_basis": "netid", "identity_status": "source_identified", "name": "Mike Kallenberger", "email": "KALLENBERGER@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": 2, "quality": 5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2862813", "source_url": "https://www.ratemyprofessors.com/professor/2862813", "match_basis": "exact_name", "observed_at": "2026-09-07 16:15:10.771007+00:00", "courses": { "course_74bbf7f9b7609046ccbd4d78": { "review_count": 2, "quality": 5, "difficulty": 2, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.781532530496905, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MIKE_KALLENBERGER" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "BETTY JANE HURD" ], "a": 52, "ab": 5, "b": 2, "bc": 0, "c": 1, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 61, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "BETTY JANE HURD" ], "a": 30, "ab": 6, "b": 7, "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": 45, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "Nancy Wong" ], "a": 3, "ab": 13, "b": 10, "bc": 3, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "ANNA MCALISTER", "ROBERTA RIPORTELLA" ], "a": 4, "ab": 6, "b": 4, "bc": 2, "c": 0, "d": 1, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 18, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "PAUL GIBLER" ], "a": 8, "ab": 5, "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": 13, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "ALYSSA GOSBEE" ], "a": 12, "ab": 8, "b": 7, "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": 28, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "Murray Murray" ], "a": 15, "ab": 7, "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": 22, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "Murray Murray" ], "a": 19, "ab": 19, "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": 40, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "Murray Murray" ], "a": 45, "ab": 14, "b": 0, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 60, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "Murray Murray" ], "a": 18, "ab": 35, "b": 19, "bc": 7, "c": 0, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 80, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Patricia Sigler" ], "a": 44, "ab": 10, "b": 4, "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": 58, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Patricia Sigler" ], "a": 33, "ab": 19, "b": 2, "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": 1, "total": 58, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "MICHAEL KALLENBERGER" ], "a": 11, "ab": 29, "b": 4, "bc": 1, "c": 0, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 46, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "MICHAEL KALLENBERGER" ], "a": 17, "ab": 24, "b": 2, "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": 45, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Patricia Sigler" ], "a": 29, "ab": 9, "b": 3, "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": 45, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "MICHAEL KALLENBERGER" ], "a": 25, "ab": 14, "b": 6, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "MICHAEL KALLENBERGER" ], "a": 13, "ab": 19, "b": 10, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "MICHAEL KALLENBERGER" ], "a": 25, "ab": 14, "b": 4, "bc": 1, "c": 3, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "JILL HUIZENGA", "MICHAEL KALLENBERGER" ], "a": 40, "ab": 28, "b": 7, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 76, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "MICHAEL KALLENBERGER" ], "a": 44, "ab": 61, "b": 12, "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": 125, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "MICHAEL KALLENBERGER" ], "a": 37, "ab": 55, "b": 9, "bc": 2, "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": 104, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "MAJDI QUTTAINAH", "MICHAEL KALLENBERGER" ], "a": 51, "ab": 42, "b": 9, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 104, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "MICHAEL KALLENBERGER" ], "a": 26, "ab": 28, "b": 14, "bc": 2, "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": 71, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "MICHAEL KALLENBERGER" ], "a": 27, "ab": 60, "b": 20, "bc": 10, "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": 118, "source_aliases": [ "CNSRSCI 562" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CNSRSCI 562", "course_uid": "course_74bbf7f9b7609046ccbd4d78", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "MICHAEL KALLENBERGER" ], "a": 15, "ab": 25, "b": 11, "bc": 5, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 57, "source_aliases": [ "CNSRSCI 562" ] } ] ``` ### statistics #### gpa 3.604 #### graded 1437 #### counts * 643 * 555 * 168 * 52 * 14 * 3 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_74bbf7f9b7609046ccbd4d78-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_74bbf7f9b7609046ccbd4d78-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_74bbf7f9b7609046ccbd4d78-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_74bbf7f9b7609046ccbd4d78-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_74bbf7f9b7609046ccbd4d78-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_74bbf7f9b7609046ccbd4d78-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_74bbf7f9b7609046ccbd4d78-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_74bbf7f9b7609046ccbd4d78-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_74bbf7f9b7609046ccbd4d78-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_74bbf7f9b7609046ccbd4d78-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.604384133611691 #### count 1437 #### university ##### size 5488 ##### gpa Percentile 33 ##### count Percentile 91 ##### median Count 186 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 318 | false | | 3.2–3.6 | 1473 | false | | 3.6–4.0 | 3688 | true | #### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 33, "gpaPercentile": 34, "countPercentile": 69, "medianCount": 909, "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": 9, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.8278688524590163 ##### count 61 ##### university ###### size 695 ###### gpa Percentile 85 ###### count Percentile 43 ###### 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 | 3 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | false | | 3.6–4.0 | 199 | true | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1084 ##### term 1084 ##### gpa 3.7111111111111112 ##### count 45 ##### university ###### size 720 ###### gpa Percentile 78 ###### count Percentile 27 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 248 | false | | 3.6–4.0 | 217 | true | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1094 ##### term 1094 ##### gpa 3.193548387096774 ##### count 31 ##### university ###### size 758 ###### gpa Percentile 34 ###### count Percentile 3 ###### median Count 71 ###### 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 | 35 | false | | 2.8–3.2 | 226 | true | | 3.2–3.6 | 259 | false | | 3.6–4.0 | 236 | false | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1104 ##### term 1104 ##### gpa 3.235294117647059 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1112 ##### term 1112 ##### gpa 3.8076923076923075 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1142 ##### term 1142 ##### gpa 3.5357142857142856 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1152 ##### term 1152 ##### gpa 3.840909090909091 ##### count 22 ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1162 ##### term 1162 ##### gpa 3.7125 ##### count 40 ##### university ###### size 954 ###### gpa Percentile 74 ###### count Percentile 19 ###### 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 | false | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | true | ##### departments | subject | comparison | | ------- | ---------- | | CNSRSCI | | #### 1172 ##### term 1172 ##### gpa 3.8583333333333334 ##### count 60 ##### university ###### size 991 ###### gpa Percentile 85 ###### count Percentile 43 ###### 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 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 14, "gpaPercentile": 85, "countPercentile": 38, "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": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.375 ##### count 80 ##### university ###### size 1025 ###### gpa Percentile 38 ###### count Percentile 56 ###### 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": 38, "countPercentile": 56, "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 } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.8448275862068964 ##### count 58 ##### university ###### size 1077 ###### gpa Percentile 81 ###### count Percentile 43 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 18, "gpaPercentile": 94, "countPercentile": 53, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.719298245614035 ##### count 57 ##### university ###### size 1040 ###### gpa Percentile 69 ###### count Percentile 41 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 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": 81, "countPercentile": 31, "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 3.5 ##### count 46 ##### university ###### size 1102 ###### gpa Percentile 45 ###### count Percentile 30 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 17, "gpaPercentile": 50, "countPercentile": 25, "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": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.647727272727273 ##### count 44 ##### university ###### size 1012 ###### gpa Percentile 39 ###### count Percentile 28 ###### 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": 31, "countPercentile": 19, "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 3.6777777777777776 ##### count 45 ##### university ###### size 1111 ###### gpa Percentile 54 ###### count Percentile 28 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 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": 35, "countPercentile": 29, "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 3.6847826086956523 ##### count 46 ##### university ###### size 1157 ###### gpa Percentile 56 ###### 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 | 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": 45, "countPercentile": 25, "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 3.511627906976744 ##### count 43 ##### university ###### size 1171 ###### gpa Percentile 40 ###### count Percentile 28 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 20, "gpaPercentile": 47, "countPercentile": 16, "medianCount": 70.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.606382978723404 ##### count 47 ##### university ###### size 1216 ###### gpa Percentile 46 ###### count Percentile 32 ###### 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": 32, "countPercentile": 21, "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 3.7039473684210527 ##### count 76 ##### university ###### size 1188 ###### gpa Percentile 57 ###### count Percentile 56 ###### 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": 61, "countPercentile": 33, "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 3.556 ##### count 125 ##### university ###### size 1295 ###### gpa Percentile 39 ###### count Percentile 76 ###### 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 | true | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 21, "gpaPercentile": 15, "countPercentile": 70, "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": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.6009615384615383 ##### count 104 ##### university ###### size 1241 ###### gpa Percentile 43 ###### count Percentile 73 ###### 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": 41, "countPercentile": 50, "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 3.6778846153846154 ##### count 104 ##### university ###### size 1333 ###### gpa Percentile 50 ###### count Percentile 69 ###### 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": 36, "countPercentile": 50, "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 3.535211267605634 ##### count 71 ##### university ###### size 1289 ###### gpa Percentile 35 ###### count Percentile 53 ###### 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 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 23, "gpaPercentile": 36, "countPercentile": 32, "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": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.4152542372881354 ##### count 118 ##### university ###### size 1320 ###### gpa Percentile 24 ###### count Percentile 72 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 21, "gpaPercentile": 10, "countPercentile": 50, "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 3.4464285714285716 ##### count 56 ##### university ###### size 1283 ###### gpa Percentile 26 ###### count Percentile 41 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "CNSRSCI", "comparison": { "size": 22, "gpaPercentile": 33, "countPercentile": 29, "medianCount": 105, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5488 ###### gpa 3.6829657662385675 ###### top Share 83.231505101881 ###### count 186 ##### CNSRSCI ###### size 33 ###### gpa 3.6308605914810603 ###### top Share 81.90298591878562 ###### count 909 #### terms ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### 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 ##### 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 ##### 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 ##### 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_ea5d3604b3041758562ef9d5", "name": "MICHAEL KALLENBERGER", "count": 817, "terms": [ { "term": "1202", "count": 46, "sections": 1, "gpa": 3.5 }, { "term": "1204", "count": 44, "sections": 1, "gpa": 3.647727272727273 }, { "term": "1222", "count": 46, "sections": 1, "gpa": 3.6847826086956523 }, { "term": "1224", "count": 43, "sections": 1, "gpa": 3.511627906976744 }, { "term": "1232", "count": 47, "sections": 1, "gpa": 3.606382978723404 }, { "term": "1234", "count": 57, "sections": 1, "gpa": 3.6666666666666665 }, { "term": "1242", "count": 125, "sections": 2, "gpa": 3.556 }, { "term": "1244", "count": 104, "sections": 2, "gpa": 3.6009615384615383 }, { "term": "1252", "count": 60, "sections": 1, "gpa": 3.716666666666667 }, { "term": "1254", "count": 71, "sections": 2, "gpa": 3.535211267605634 }, { "term": "1262", "count": 118, "sections": 2, "gpa": 3.4152542372881354 }, { "term": "1264", "count": 56, "sections": 1, "gpa": 3.4464285714285716 } ] }, { "uid": "instructor_4c548bcc181e24fbeb36ce0e", "name": "MURRAY MURRAY", "count": 202, "terms": [ { "term": "1152", "count": 22, "sections": 1, "gpa": 3.840909090909091 }, { "term": "1162", "count": 40, "sections": 1, "gpa": 3.7125 }, { "term": "1172", "count": 60, "sections": 1, "gpa": 3.8583333333333334 }, { "term": "1182", "count": 80, "sections": 1, "gpa": 3.375 } ] }, { "uid": "instructor_dcc1a85d04f35e1240ed8a6d", "name": "PATRICIA SIGLER", "count": 160, "terms": [ { "term": "1192", "count": 58, "sections": 1, "gpa": 3.8448275862068964 }, { "term": "1194", "count": 57, "sections": 1, "gpa": 3.719298245614035 }, { "term": "1212", "count": 45, "sections": 1, "gpa": 3.6777777777777776 } ] }, { "uid": "instructor_7de2a08dfc50290126a1584f", "name": "BETTY JANE HURD", "count": 106, "terms": [ { "term": "1074", "count": 61, "sections": 1, "gpa": 3.8278688524590163 }, { "term": "1084", "count": 45, "sections": 1, "gpa": 3.7111111111111112 } ] }, { "uid": "instructor_7ee28dc58548c97dd38384c2", "name": "MAJDI QUTTAINAH", "count": 44, "terms": [ { "term": "1252", "count": 44, "sections": 1, "gpa": 3.625 } ] }, { "uid": "instructor_ef18ec3d760ff5d93e103acf", "name": "NANCY WONG", "count": 31, "terms": [ { "term": "1094", "count": 31, "sections": 1, "gpa": 3.193548387096774 } ] }, { "uid": "instructor_9928806b67ca78c8bd998cb4", "name": "ALYSSA GOSBEE", "count": 28, "terms": [ { "term": "1142", "count": 28, "sections": 1, "gpa": 3.5357142857142856 } ] }, { "uid": "instructor_808dda0156d2898af107f9f2", "name": "JILL HUIZENGA", "count": 19, "terms": [ { "term": "1234", "count": 19, "sections": 1, "gpa": 3.8157894736842106 } ] }, { "uid": "instructor_7a02f580e7328c3566601a5d", "name": "ROBERTA RIPORTELLA", "count": 17, "terms": [ { "term": "1104", "count": 17, "sections": 1, "gpa": 3.235294117647059 } ] }, { "uid": "instructor_ff822a6393c584c017a64ab9", "name": "ANNA MCALISTER", "count": 17, "terms": [ { "term": "1104", "count": 17, "sections": 1, "gpa": 3.235294117647059 } ] }, { "uid": "instructor_d78d15d1f33f03a2797f7ef0", "name": "PAUL GIBLER", "count": 13, "terms": [ { "term": "1112", "count": 13, "sections": 1, "gpa": 3.8076923076923075 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.34 #### upper 3.79 #### coverage 80 #### terms 7 ### gpa 3.5665031447001274 ### grades | grade | percentage | | ----- | ------------------ | | A | 39.90214102849283 | | AB | 42.27281673046165 | | B | 11.814696861498279 | | BC | 4.2526188497006085 | | C | 1.5056270453396443 | | D | 0 | | F | 0.252099484506974 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 440 ### same Season true ### historical Range * 3.4152542372881354 * 3.684782608695652 ### backtest #### terms 7 #### gpa Error 0.09950216610999199 #### mix Error 18.104739560653076