# NUTRSCI 500: Undergraduate Capstone Seminar Laboratory | UW–Madison [View on UW Courses](https://uwcourses.com/courses/NUTRSCI_500) ## 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 b97e5fa4e545bdf9f83de0e3bc4c117e7223da60feaddace0030f68786698506 ### course id NUTRSCI 500 ### course uid course\_57c09006c3596e2056d15fbc ### catalog version id 10772f797fbd19852ea7fdc1d8422e129c4fd700f59beee622b250e473686833 ### course number 500 ### subjects * NUTRSCI ### title UNDERGRADUATE CAPSTONE SEMINAR LABORATORY ### description Current topics in Nutritional Sciences and undergraduate research presentations. ### requirements text NUTR SCI 431or concurrent enrollment andNUTR SCI/​BIOCHEM  510or concurrent enrollment ### credits min 1 ### credits max 1 ### credit offering ids * 1272:694:023367 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 7dae88692412fcd70f02c896656c7b7033c6a7271b9f5904a13efa9a0e416263 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers current topics in Nutritional Sciences and undergraduate research presentations. ### llm topics * Current topics in Nutritional Sciences * Undergraduate research presentations ### llm skills * Presenting research findings * Discussing current topics in Nutritional Sciences ### llm assumed background * Junior standing and completion of foundational nutrition and biochemistry courses. ### llm search phrases * Nutritional Sciences capstone * undergraduate research presentation nutrition * NUTRSCI 500 seminar ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash d3c27842722a292aa6f2da4e0ca0bf4c96890ce3dbb273df2fe3f0756da9d136 #### course id NUTRSCI 500 #### current instructors ```json [ { "instructor_uid": "instructor_acc955e72ab88530fc4400be", "message": "No course-specific reviews available", "name": "Mark Meyer", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [ { "citations": [ { "course_id": "NUTRSCI 500", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "source_record": { "entity_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "NUTRSCI 500", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "source_record": { "entity_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "NUTRSCI 500", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "source_record": { "entity_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=50 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=19 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=44 letter grades)." } ] } ] ``` #### 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: 4.00 GPA, 100.0% A/AB (n=50 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=19 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=44 letter grades). ```json { "citations": [ { "course_id": "NUTRSCI 500", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "NUTRSCI 500", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "NUTRSCI 500", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "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 MARK MEYER is recorded teaching in Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "NUTRSCI 500", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "source_record": { "entity_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "NUTRSCI 500", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "source_record": { "entity_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "NUTRSCI 500", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "source_record": { "entity_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "NUTRSCI 500", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "source_record": { "entity_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "NUTRSCI 500", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "source_record": { "entity_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "NUTRSCI 500", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "source_record": { "entity_id": "74f9e231-a2d6-3114-aa3b-1d4efb0f5e1a", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "NUTR SCI 431or concurrent enrollment andNUTR SCI/BIOCHEM 510or concurrent enrollment", "id": "n0", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 431, "minimum_grade": null, "subjects": [ "NUTRSCI" ], "timing": "prior_or_concurrent" }, "evidence": "NUTR SCI 431or concurrent enrollment", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 510, "minimum_grade": null, "subjects": [ "BIOCHEM", "NUTRSCI" ], "timing": "prior_or_concurrent" }, "evidence": "NUTR SCI/BIOCHEM 510or concurrent enrollment", "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\_acc955e72ab88530fc4400be | enrollment | markmeyer | netid | source\_identified | Mark Meyer | MARKMEYER\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/MARK\_MEYER | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:694:023367", "course_id": "NUTRSCI 500", "course_uid": "course_57c09006c3596e2056d15fbc", "term_id": "1272", "source_course_id": "023367", "source_subject_id": "694", "title": "Undergraduate Capstone Seminar Laboratory", "credits_min": 1, "credits_max": 1, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:10599", "term_id": "1272", "source_section_id": "10599", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 17, "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:1272:10600", "term_id": "1272", "source_section_id": "10600", "identity_basis": "class_number", "section_number": "301", "section_type": "LAB", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 17, "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_2c3a7d7c5182eb0b10f18d04", "source": "madgrades", "source_instructor_id": "468192", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROGER SUNDE", "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": 3.488, "graded": 1451, "counts": [ 873, 92, 291, 42, 127, 15, 11 ], "sections": 90 }, "instructor_url": "/instructors/ROGER_SUNDE--instructor_2c3a7d7c5182eb0b10f18d04" }, { "instructor_uid": "instructor_b823ab05514f1308919fe601", "source": "madgrades", "source_instructor_id": "1128375", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HUI-CHUAN LAI", "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": 3, "quality": 1.67, "difficulty": 4, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2594617", "source_url": "https://www.ratemyprofessors.com/professor/2594617", "match_basis": "exact_name", "observed_at": "2026-09-07 16:36:23.800812+00:00", "courses": {}, "bayesian_quality": 3.400161550910083, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.283, "graded": 2419, "counts": [ 738, 653, 624, 162, 190, 48, 4 ], "sections": 73 }, "instructor_url": "/instructors/HUI-CHUAN_LAI--instructor_b823ab05514f1308919fe601" }, { "instructor_uid": "instructor_d2e742694fca7794a226d90b", "source": "madgrades", "source_instructor_id": "2601276", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DALE SCHOELLER", "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": 10, "quality": 2.5, "difficulty": 4.3, "quality_count": 10, "difficulty_count": 10, "profile_id": "rmp:617062", "source_url": "https://www.ratemyprofessors.com/professor/617062", "match_basis": "exact_name", "observed_at": "2026-09-07 16:46:32.399836+00:00", "courses": { "course_dd17307fda531472ebe3cd2b": { "review_count": 1, "quality": 3, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.2731238556977305, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.984, "graded": 1577, "counts": [ 383, 252, 439, 182, 224, 72, 25 ], "sections": 65 }, "instructor_url": "/instructors/DALE_SCHOELLER" }, { "instructor_uid": "instructor_a2232d5fc4f4deaa1a32fa1a", "source": "madgrades", "source_instructor_id": "415877", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SUSAN SMITH", "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": 3.264, "graded": 713, "counts": [ 221, 198, 144, 82, 50, 13, 5 ], "sections": 57 }, "instructor_url": "/instructors/SUSAN_SMITH--instructor_a2232d5fc4f4deaa1a32fa1a" }, { "instructor_uid": "instructor_f05044f428cf05967dc547f0", "source": "madgrades", "source_instructor_id": "902623", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAVID EIDE", "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": 3.339, "graded": 2171, "counts": [ 967, 308, 497, 150, 203, 32, 14 ], "sections": 125 }, "instructor_url": "/instructors/DAVID_EIDE--instructor_f05044f428cf05967dc547f0" }, { "instructor_uid": "instructor_d976a468064accd894042580", "source": "madgrades", "source_instructor_id": "3012374", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GUY E GROBLEWSKI", "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": 3.06, "graded": 3520, "counts": [ 1034, 548, 884, 376, 497, 131, 50 ], "sections": 117 }, "instructor_url": "/instructors/GUY_E_GROBLEWSKI" }, { "instructor_uid": "instructor_fc39b33745b8e98af758fb22", "source": "madgrades", "source_instructor_id": "953135", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RICHARD SCOTT EISENSTEIN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.704, "graded": 533, "counts": [ 363, 49, 104, 13, 3, 0, 1 ], "sections": 136 }, "instructor_url": "/instructors/RICHARD_SCOTT_EISENSTEIN--instructor_fc39b33745b8e98af758fb22" }, { "instructor_uid": "instructor_0e92073311df9dae1940f36d", "source": "madgrades", "source_instructor_id": "2601985", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DENISE NEY", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 5, "quality": 2.6, "difficulty": 4.2, "quality_count": 5, "difficulty_count": 5, "profile_id": "rmp:2022152", "source_url": "https://www.ratemyprofessors.com/professor/2022152", "match_basis": "exact_name", "observed_at": "2026-09-07 16:43:55.914760+00:00", "courses": {}, "bayesian_quality": 3.447748626837276, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.29, "graded": 2215, "counts": [ 717, 551, 584, 126, 189, 45, 3 ], "sections": 103 }, "instructor_url": "/instructors/DENISE_NEY" }, { "instructor_uid": "instructor_f442cbeb76fd803a3b4c7558", "source": "madgrades", "source_instructor_id": "2600630", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JAMES NTAMBI", "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": 7, "quality": 3.14, "difficulty": 3.57, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:1557259", "source_url": "https://www.ratemyprofessors.com/professor/1557259", "match_basis": "exact_name", "observed_at": "2026-09-07 16:34:37.087130+00:00", "courses": { "course_c759b64b8555402c1fff9182": { "review_count": 1, "quality": 1, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.5249524322567374, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.168, "graded": 6178, "counts": [ 1998, 851, 1794, 587, 825, 102, 21 ], "sections": 182 }, "instructor_url": "/instructors/JAMES_NTAMBI--instructor_f442cbeb76fd803a3b4c7558" }, { "instructor_uid": "instructor_c19e9f7986708fe15e94d7e9", "source": "madgrades", "source_instructor_id": "4392275", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHI-LIANG YEN", "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": 3.114, "graded": 3468, "counts": [ 1150, 481, 847, 358, 486, 107, 39 ], "sections": 141 }, "instructor_url": "/instructors/CHI-LIANG_YEN--instructor_c19e9f7986708fe15e94d7e9" }, { "instructor_uid": "instructor_ad3b88d88a795f6666df937e", "source": "madgrades", "source_instructor_id": "438122", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JULIE THURLOW", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 8, "quality": 4.38, "difficulty": 3.38, "quality_count": 8, "difficulty_count": 8, "profile_id": "rmp:837419", "source_url": "https://www.ratemyprofessors.com/professor/837419", "match_basis": "exact_name", "observed_at": "2026-09-07 16:29:32.665203+00:00", "courses": { "course_99c0af63a88052317974a272": { "review_count": 4, "quality": 4, "difficulty": 3.25, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.865489845390425, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.32, "graded": 4057, "counts": [ 1425, 1072, 877, 293, 281, 90, 19 ], "sections": 55 }, "instructor_url": "/instructors/JULIE_THURLOW--instructor_ad3b88d88a795f6666df937e" }, { "instructor_uid": "instructor_a123851e43cecdb37995301d", "source": "madgrades", "source_instructor_id": "3465181", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARK MEYER", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.828, "graded": 311, "counts": [ 260, 6, 36, 7, 2, 0, 0 ], "sections": 22 }, "instructor_url": "/instructors/MARK_MEYER--instructor_a123851e43cecdb37995301d" }, { "instructor_uid": "instructor_acc955e72ab88530fc4400be", "source": "enrollment", "source_instructor_id": "markmeyer", "identity_basis": "netid", "identity_status": "source_identified", "name": "Mark Meyer", "email": "MARKMEYER@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/MARK_MEYER" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NUTRSCI 500", "course_uid": "course_57c09006c3596e2056d15fbc", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "ROGER SUNDE" ], "a": 23, "ab": 0, "b": 11, "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": 35, "source_aliases": [ "NUTRSCI 500" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NUTRSCI 500", "course_uid": "course_57c09006c3596e2056d15fbc", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "DALE SCHOELLER", "Huichuan Lai" ], "a": 8, "ab": 9, "b": 9, "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": [ "NUTRSCI 500" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NUTRSCI 500", "course_uid": "course_57c09006c3596e2056d15fbc", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "ROGER SUNDE" ], "a": 26, "ab": 0, "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": 34, "source_aliases": [ "NUTRSCI 500" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NUTRSCI 500", "course_uid": "course_57c09006c3596e2056d15fbc", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "DAVID EIDE", "SUSAN SMITH" ], "a": 33, "ab": 0, "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": 33, "source_aliases": [ "NUTRSCI 500" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NUTRSCI 500", "course_uid": "course_57c09006c3596e2056d15fbc", "term_id": "1132", "term_name": 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"course_57c09006c3596e2056d15fbc", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "DAVID EIDE" ], "a": 9, "ab": 0, "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": 9, "source_aliases": [ "NUTRSCI 500" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NUTRSCI 500", "course_uid": "course_57c09006c3596e2056d15fbc", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "DAVID EIDE" ], "a": 48, "ab": 0, "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": 48, "source_aliases": [ "NUTRSCI 500" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NUTRSCI 500", "course_uid": "course_57c09006c3596e2056d15fbc", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Mark Meyer" ], "a": 15, "ab": 0, "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": 15, "source_aliases": [ "NUTRSCI 500" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NUTRSCI 500", "course_uid": "course_57c09006c3596e2056d15fbc", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Mark Meyer" ], "a": 35, "ab": 0, "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": 35, "source_aliases": [ "NUTRSCI 500" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NUTRSCI 500", "course_uid": "course_57c09006c3596e2056d15fbc", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Mark Meyer" ], "a": 10, "ab": 0, "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": 10, "source_aliases": [ "NUTRSCI 500" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NUTRSCI 500", "course_uid": "course_57c09006c3596e2056d15fbc", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Mark Meyer" ], "a": 50, "ab": 0, "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": 50, "source_aliases": [ "NUTRSCI 500" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NUTRSCI 500", "course_uid": "course_57c09006c3596e2056d15fbc", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Mark Meyer" ], "a": 19, "ab": 0, "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": 19, "source_aliases": [ "NUTRSCI 500" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "NUTRSCI 500", "course_uid": "course_57c09006c3596e2056d15fbc", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Mark Meyer" ], "a": 44, "ab": 0, "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": 44, "source_aliases": [ "NUTRSCI 500" ] } ] ``` ### statistics #### gpa 3.885 #### graded 963 #### counts * 850 * 34 * 66 * 1 * 11 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_57c09006c3596e2056d15fbc-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_57c09006c3596e2056d15fbc-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_57c09006c3596e2056d15fbc-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_57c09006c3596e2056d15fbc-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_57c09006c3596e2056d15fbc-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_57c09006c3596e2056d15fbc-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_57c09006c3596e2056d15fbc-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_57c09006c3596e2056d15fbc-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8852544132917965 #### count 963 #### university ##### size 5620 ##### gpa Percentile 73 ##### count Percentile 84 ##### median Count 216 ##### 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 | 9 | false | | 2.8–3.2 | 337 | false | | 3.2–3.6 | 1487 | false | | 3.6–4.0 | 3786 | true | #### departments ```json [ { "subject": "NUTRSCI", "comparison": { "size": 46, "gpaPercentile": 71, "countPercentile": 89, "medianCount": 187.5, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 33, "current": true } ] } } ] ``` ### terms #### 1112 ##### term 1112 ##### gpa 3.6285714285714286 ##### count 35 ##### university ###### size 805 ###### gpa Percentile 74 ###### count Percentile 12 ###### 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 | 45 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | true | ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1114 ##### term 1114 ##### gpa 3.480769230769231 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1122 ##### term 1122 ##### gpa 3.735294117647059 ##### count 34 ##### university ###### size 804 ###### gpa Percentile 79 ###### count Percentile 8 ###### 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 | 47 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | true | ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1124 ##### term 1124 ##### gpa 4 ##### count 33 ##### university ###### size 821 ###### gpa Percentile 96 ###### count Percentile 8 ###### 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 | 39 | false | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | false | | 3.6–4.0 | 280 | true | ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1132 ##### term 1132 ##### gpa 3.913793103448276 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1134 ##### term 1134 ##### gpa 4 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1142 ##### term 1142 ##### gpa 3.8125 ##### count 32 ##### university ###### size 853 ###### gpa Percentile 85 ###### count Percentile 3 ###### 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 | false | | 3.6–4.0 | 268 | true | ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1144 ##### term 1144 ##### gpa 3.942857142857143 ##### count 35 ##### university ###### size 878 ###### gpa Percentile 92 ###### count Percentile 10 ###### 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 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | false | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | true | ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1152 ##### term 1152 ##### gpa 3.6363636363636362 ##### count 33 ##### university ###### size 918 ###### gpa Percentile 72 ###### count Percentile 6 ###### 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 | false | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | true | ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1154 ##### term 1154 ##### gpa 4 ##### count 42 ##### university ###### size 935 ###### gpa Percentile 96 ###### count Percentile 24 ###### median Count 63 ###### 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 | 38 | false | | 2.8–3.2 | 237 | false | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | true | ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1162 ##### term 1162 ##### gpa 3.878787878787879 ##### count 33 ##### university ###### size 954 ###### gpa Percentile 88 ###### count Percentile 7 ###### 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 | | ------- | ---------- | | NUTRSCI | | #### 1164 ##### term 1164 ##### gpa 4 ##### count 56 ##### university ###### size 965 ###### gpa Percentile 95 ###### count Percentile 41 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | true | ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1172 ##### term 1172 ##### gpa 3.8 ##### count 35 ##### university ###### size 991 ###### gpa Percentile 78 ###### count Percentile 11 ###### 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 | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1174 ##### term 1174 ##### gpa 3.909090909090909 ##### count 44 ##### university ###### size 955 ###### gpa Percentile 87 ###### count Percentile 25 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | true | ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1182 ##### term 1182 ##### gpa 3.8703703703703702 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1184 ##### term 1184 ##### gpa 3.8020833333333335 ##### count 48 ##### university ###### size 1010 ###### gpa Percentile 78 ###### count Percentile 32 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1192 ##### term 1192 ##### gpa 3.875 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1194 ##### term 1194 ##### gpa 3.817073170731707 ##### count 41 ##### university ###### size 1040 ###### gpa Percentile 78 ###### count Percentile 21 ###### 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 | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1202 ##### term 1202 ##### gpa 3.725 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1204 ##### term 1204 ##### gpa 3.9411764705882355 ##### count 34 ##### university ###### size 1012 ###### gpa Percentile 81 ###### 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 | false | | 3.6–4.0 | 685 | true | ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1212 ##### term 1212 ##### gpa 4 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1222 ##### term 1222 ##### gpa 3.923076923076923 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1224 ##### term 1224 ##### gpa 3.8194444444444446 ##### count 36 ##### university ###### size 1171 ###### gpa Percentile 72 ###### count Percentile 14 ###### 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": "NUTRSCI", "comparison": { "size": 11, "gpaPercentile": 70, "countPercentile": 20, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 4 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1234 ##### term 1234 ##### gpa 4 ##### count 48 ##### university ###### size 1188 ###### gpa Percentile 95 ###### count Percentile 33 ###### 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": "NUTRSCI", "comparison": { "size": 11, "gpaPercentile": 100, "countPercentile": 40, "medianCount": 66, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "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": 2, "current": false }, { "range": "3.6–4.0", "count": 6, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 4 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1244 ##### term 1244 ##### gpa 4 ##### count 35 ##### university ###### size 1241 ###### gpa Percentile 95 ###### count Percentile 11 ###### 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": "NUTRSCI", "comparison": { "size": 14, "gpaPercentile": 100, "countPercentile": 31, "medianCount": 46.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 4 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1254 ##### term 1254 ##### gpa 4 ##### count 50 ##### university ###### size 1289 ###### gpa Percentile 96 ###### count Percentile 35 ###### 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": "NUTRSCI", "comparison": { "size": 16, "gpaPercentile": 93, "countPercentile": 60, "medianCount": 47.5, "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": 7, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 4 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | NUTRSCI | | #### 1264 ##### term 1264 ##### gpa 4 ##### count 44 ##### university ###### size 1283 ###### gpa Percentile 95 ###### count Percentile 28 ###### 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": "NUTRSCI", "comparison": { "size": 15, "gpaPercentile": 100, "countPercentile": 43, "medianCount": 44, "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": 5, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5620 ###### gpa 3.6807269054885694 ###### top Share 83.09346819332158 ###### count 216 ##### NUTRSCI ###### size 46 ###### gpa 3.6948895385219616 ###### top Share 82.962653379947 ###### count 187.5 #### terms ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### NUTRSCI ###### size 10 ###### gpa 3.512788700057264 ###### top Share 76.08827003828549 ###### count 40 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### NUTRSCI ###### size 11 ###### gpa 3.536653752183017 ###### top Share 75.617738261236 ###### count 69 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### NUTRSCI ###### size 11 ###### gpa 3.445608341608225 ###### top Share 70.51260427563781 ###### count 66 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### NUTRSCI ###### size 14 ###### gpa 3.5895016462484786 ###### top Share 77.26895401868205 ###### count 46.5 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### NUTRSCI ###### size 16 ###### gpa 3.557900249081337 ###### top Share 74.35826945459326 ###### count 47.5 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### NUTRSCI ###### size 15 ###### gpa 3.622323122323602 ###### top Share 77.97150522138509 ###### count 44 ## instructor Trends ```json [ { "uid": "instructor_2c3a7d7c5182eb0b10f18d04", "name": "ROGER SUNDE", "count": 523, "terms": [ { "term": "1112", "count": 35, "sections": 1, "gpa": 3.6285714285714286 }, { "term": "1122", "count": 34, "sections": 1, "gpa": 3.735294117647059 }, { "term": "1132", "count": 29, "sections": 1, "gpa": 3.913793103448276 }, { "term": "1142", "count": 32, "sections": 1, "gpa": 3.8125 }, { "term": "1152", "count": 33, "sections": 1, "gpa": 3.6363636363636362 }, { "term": "1162", "count": 33, "sections": 1, "gpa": 3.878787878787879 }, { "term": "1164", "count": 56, "sections": 1, "gpa": 4 }, { "term": "1172", "count": 35, "sections": 1, "gpa": 3.8 }, { "term": "1174", "count": 44, "sections": 1, "gpa": 3.909090909090909 }, { "term": "1182", "count": 27, "sections": 1, "gpa": 3.8703703703703702 }, { "term": "1184", "count": 48, "sections": 1, "gpa": 3.8020833333333335 }, { "term": "1192", "count": 16, "sections": 1, "gpa": 3.875 }, { "term": "1194", "count": 41, "sections": 1, "gpa": 3.817073170731707 }, { "term": "1202", "count": 20, "sections": 1, "gpa": 3.725 }, { "term": "1204", "count": 34, "sections": 1, "gpa": 3.9411764705882355 }, { "term": "1212", "count": 6, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_a123851e43cecdb37995301d", "name": "MARK MEYER", "count": 173, "terms": [ { "term": "1242", "count": 15, "sections": 1, "gpa": 4 }, { "term": "1244", "count": 35, "sections": 1, "gpa": 4 }, { "term": "1252", "count": 10, "sections": 1, "gpa": 4 }, { "term": "1254", "count": 50, "sections": 1, "gpa": 4 }, { "term": "1262", "count": 19, "sections": 1, "gpa": 4 }, { "term": "1264", "count": 44, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_f05044f428cf05967dc547f0", "name": "DAVID EIDE", "count": 90, "terms": [ { "term": "1124", "count": 33, "sections": 1, "gpa": 4 }, { "term": "1232", "count": 9, "sections": 1, "gpa": 4 }, { "term": "1234", "count": 48, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_d976a468064accd894042580", "name": "GUY E GROBLEWSKI", "count": 67, "terms": [ { "term": "1134", "count": 25, "sections": 1, "gpa": 4 }, { "term": "1154", "count": 42, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_ad3b88d88a795f6666df937e", "name": "JULIE THURLOW", "count": 49, "terms": [ { "term": "1222", "count": 13, "sections": 1, "gpa": 3.923076923076923 }, { "term": "1224", "count": 36, "sections": 1, "gpa": 3.8194444444444446 } ] }, { "uid": "instructor_c19e9f7986708fe15e94d7e9", "name": "CHI-LIANG YEN", "count": 42, "terms": [ { "term": "1154", "count": 42, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_0e92073311df9dae1940f36d", "name": "DENISE NEY", "count": 35, "terms": [ { "term": "1144", "count": 35, "sections": 1, "gpa": 3.942857142857143 } ] }, { "uid": "instructor_f442cbeb76fd803a3b4c7558", "name": "JAMES NTAMBI", "count": 35, "terms": [ { "term": "1144", "count": 35, "sections": 1, "gpa": 3.942857142857143 } ] }, { "uid": "instructor_a2232d5fc4f4deaa1a32fa1a", "name": "SUSAN SMITH", "count": 33, "terms": [ { "term": "1124", "count": 33, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_b823ab05514f1308919fe601", "name": "HUI-CHUAN LAI", "count": 26, "terms": [ { "term": "1114", "count": 26, "sections": 1, "gpa": 3.480769230769231 } ] }, { "uid": "instructor_d2e742694fca7794a226d90b", "name": "DALE SCHOELLER", "count": 26, "terms": [ { "term": "1114", "count": 26, "sections": 1, "gpa": 3.480769230769231 } ] }, { "uid": "instructor_fc39b33745b8e98af758fb22", "name": "RICHARD SCOTT EISENSTEIN", "count": 25, "terms": [ { "term": "1134", "count": 25, "sections": 1, "gpa": 4 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### gpa 3.9779998942302606 ### grades | grade | percentage | | ----- | ------------------ | | A | 96.61536834311703 | | AB | 2.7077053255063728 | | B | 0.3384631656882966 | | BC | 0.3384631656882966 | | C | 0 | | D | 0 | | F | 0 | ### source Terms * 1264 * 1254 * 1244 * 1234 * 1224 ### source Count 213 ### same Season false ### historical Range * 3.8194444444444446 * 4