# FOODSCI/MICROBIO 325: Food Microbiology | UW–Madison [View on UW Courses](https://uwcourses.com/courses/FOODSCI_MICROBIO_325) ## 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 | | 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| 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 3833416ef09bed8bc12e1055977b59f306419f149a575b33d1fdbb21293f3a84 ### course id FOODSCI/MICROBIO 325 ### course uid course\_ac0ad20d2b6fdf91cc8ac0e8 ### catalog version id d2130dd351b263c2d27eac28840e110cb3e0761a9ce4998cf0d3a25e4c178a06 ### course number 325 ### subjects * FOODSCI * MICROBIO ### title FOOD MICROBIOLOGY ### description Principles of food preservation, epidemiology of foodborne illness, agents of foodborne illness, food fermentations and biotechnology. ### requirements text MICROBIO 101,303, orM M & I 301or graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:192:001607 * 1272:390:001607 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 043e3118b814cacfcafd867a9a28b9d181cf38f36b0987032c1e4b317ac3f58e ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary FOOD MICROBIOLOGY covers food preservation, foodborne illness epidemiology, causative agents, and food fermentations. ### llm topics * Food preservation * Foodborne illness epidemiology * Agents of foodborne illness * Food fermentations and biotechnology ### llm skills * Understanding food preservation principles * Analyzing foodborne illness epidemiology * Identifying agents of foodborne illness * Applying food fermentations and biotechnology ### llm assumed background * Introductory microbiology, advanced microbial biology, or pathogenic bacteriology background. ### llm search phrases * food microbiology principles * foodborne illness epidemiology * food fermentation biotechnology * MICROBIO 101 prerequisite * FOODSCI 325 syllabus ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 3e8ed92cbfdde030d235ab6472a2e5612876e37e503170d715faa66cccce8743 #### course id FOODSCI/MICROBIO 325 #### current instructors ```json [ { "instructor_uid": "instructor_fe367b81ec5c0ee8eb884d4c", "message": "No course-specific reviews available", "name": "Jae-Hyuk Yu", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Fall 2023: 2.88 GPA, 29.2% A/AB (n=48 letter grades); Fall 2024: 3.24 GPA, 50.0% A/AB (n=52 letter grades); Fall 2025: 3.20 GPA, 51.5% A/AB (n=66 letter grades). ```json { "citations": [ { "course_id": "FOODSCI/MICROBIO 325", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "9c5c13a9-117f-3bb0-829c-cc4e8a8b2205", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "FOODSCI/MICROBIO 325", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "9c5c13a9-117f-3bb0-829c-cc4e8a8b2205", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "FOODSCI/MICROBIO 325", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "9c5c13a9-117f-3bb0-829c-cc4e8a8b2205", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "MICROBIO 101,303, orM M & I 301or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 101, "minimum_grade": null, "subjects": [ "MICROBIO" ], "timing": "prior" }, "evidence": "MICROBIO 101", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 303, "minimum_grade": null, "subjects": [ "MICROBIO" ], "timing": "prior" }, "evidence": "303", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 301, "minimum_grade": null, "subjects": [ "MM&I" ], "timing": "prior" }, "evidence": "M M & I 301", "id": "n3", "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 | | ------------------------------------ | ---------- | 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"source_aliases": [ "FOODSCI/MICROBIO 325" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "FOODSCI/MICROBIO 325", "course_uid": "course_ac0ad20d2b6fdf91cc8ac0e8", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "Charles Kaspar" ], "a": 17, "ab": 14, "b": 26, "bc": 6, "c": 6, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 71, "source_aliases": [ "FOODSCI/MICROBIO 325" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "FOODSCI/MICROBIO 325", "course_uid": "course_ac0ad20d2b6fdf91cc8ac0e8", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "Charles Kaspar" ], "a": 9, "ab": 1, "b": 31, "bc": 8, "c": 8, "d": 2, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 60, "source_aliases": [ "FOODSCI/MICROBIO 325" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "FOODSCI/MICROBIO 325", "course_uid": "course_ac0ad20d2b6fdf91cc8ac0e8", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Charles Kaspar" ], "a": 15, "ab": 7, "b": 32, "bc": 5, "c": 6, "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": 65, "source_aliases": [ "FOODSCI/MICROBIO 325" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "FOODSCI/MICROBIO 325", "course_uid": "course_ac0ad20d2b6fdf91cc8ac0e8", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Charles Kaspar" ], "a": 12, "ab": 8, "b": 19, "bc": 3, "c": 8, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 52, "source_aliases": [ "FOODSCI/MICROBIO 325" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "FOODSCI/MICROBIO 325", "course_uid": "course_ac0ad20d2b6fdf91cc8ac0e8", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Charles Kaspar" ], "a": 16, "ab": 2, "b": 16, "bc": 6, "c": 9, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 51, "source_aliases": [ "FOODSCI/MICROBIO 325" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "FOODSCI/MICROBIO 325", "course_uid": "course_ac0ad20d2b6fdf91cc8ac0e8", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Charles Kaspar" ], "a": 10, "ab": 4, "b": 16, "bc": 4, "c": 12, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "FOODSCI/MICROBIO 325" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "FOODSCI/MICROBIO 325", "course_uid": "course_ac0ad20d2b6fdf91cc8ac0e8", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Charles Kaspar" ], "a": 21, "ab": 5, "b": 16, "bc": 2, "c": 6, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 52, "source_aliases": [ "FOODSCI/MICROBIO 325" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "FOODSCI/MICROBIO 325", "course_uid": "course_ac0ad20d2b6fdf91cc8ac0e8", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Charles Kaspar" ], "a": 27, "ab": 7, "b": 14, "bc": 6, "c": 10, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 66, "source_aliases": [ "FOODSCI/MICROBIO 325" ] } ] ``` ### statistics #### gpa 3.026 #### graded 1650 #### counts * 363 * 242 * 573 * 171 * 252 * 43 * 6 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_ac0ad20d2b6fdf91cc8ac0e8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_ac0ad20d2b6fdf91cc8ac0e8-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_ac0ad20d2b6fdf91cc8ac0e8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_ac0ad20d2b6fdf91cc8ac0e8-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_ac0ad20d2b6fdf91cc8ac0e8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_ac0ad20d2b6fdf91cc8ac0e8-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_ac0ad20d2b6fdf91cc8ac0e8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_ac0ad20d2b6fdf91cc8ac0e8-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.0257575757575763 #### count 1650 #### university ##### size 4146 ##### gpa Percentile 3 ##### count Percentile 92 ##### median Count 193 ##### 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 | 10 | false | | 2.8–3.2 | 326 | true | | 3.2–3.6 | 1185 | false | | 3.6–4.0 | 2625 | false | #### departments ```json [ { "subject": "FOODSCI", "comparison": { "size": 19, "gpaPercentile": 22, "countPercentile": 100, "medianCount": 226, "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": 7, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "MICROBIO", "comparison": { "size": 21, "gpaPercentile": 5, "countPercentile": 80, "medianCount": 733, "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": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.0168539325842696 ##### count 89 ##### university ###### size 723 ###### gpa Percentile 21 ###### count Percentile 64 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 62 | false | | 2.8–3.2 | 174 | true | | 3.2–3.6 | 306 | false | | 3.6–4.0 | 180 | false | ##### departments | subject | comparison | | -------- | ---------- | | FOODSCI | | | MICROBIO | | #### 1082 ##### term 1082 ##### gpa 2.863095238095238 ##### count 84 ##### university ###### size 723 ###### gpa Percentile 11 ###### count Percentile 59 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 51 | false | | 2.8–3.2 | 202 | true | | 3.2–3.6 | 265 | false | | 3.6–4.0 | 204 | false | ##### departments | subject | comparison | | -------- | ---------- | | FOODSCI | | | MICROBIO | | #### 1092 ##### term 1092 ##### gpa 2.9571428571428573 ##### count 70 ##### university ###### size 732 ###### gpa Percentile 13 ###### count Percentile 49 ###### 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 | 41 | false | | 2.8–3.2 | 208 | true | | 3.2–3.6 | 271 | false | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 20, "countPercentile": 60, "medianCount": 56, "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": 4, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 2.955223880597015 ##### count 67 ##### university ###### size 774 ###### gpa Percentile 15 ###### count Percentile 50 ###### 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 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | true | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 20, "countPercentile": 60, "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": 7, "current": true }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 2.6555555555555554 ##### count 90 ##### university ###### size 805 ###### gpa Percentile 1 ###### count Percentile 65 ###### 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 | true | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 0, "countPercentile": 64, "medianCount": 60, "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": 3, "current": true }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.0813953488372094 ##### count 86 ##### university ###### size 804 ###### gpa Percentile 24 ###### count Percentile 61 ###### 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 | true | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 20, "countPercentile": 60, "medianCount": 61, "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": 5, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 2.8815789473684212 ##### count 114 ##### university ###### size 851 ###### gpa Percentile 7 ###### count Percentile 73 ###### 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 | 40 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 11, "gpaPercentile": 30, "countPercentile": 60, "medianCount": 68, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 5, "current": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.1404958677685952 ##### count 121 ##### university ###### size 853 ###### gpa Percentile 27 ###### 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 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | true | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 36, "countPercentile": 64, "medianCount": 79, "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": 5, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 2.9825174825174825 ##### count 143 ##### university ###### size 918 ###### gpa Percentile 12 ###### count Percentile 81 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 0, "countPercentile": 67, "medianCount": 62, "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": 7, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.125984251968504 ##### count 127 ##### university ###### size 954 ###### gpa Percentile 22 ###### count Percentile 77 ###### median Count 64.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 25, "countPercentile": 67, "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": 4, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.119047619047619 ##### count 105 ##### university ###### size 991 ###### gpa Percentile 19 ###### count Percentile 71 ###### 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 | true | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 14, "gpaPercentile": 23, "countPercentile": 69, "medianCount": 67.5, "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": 6, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.1777777777777776 ##### count 90 ##### university ###### size 1025 ###### gpa Percentile 21 ###### count Percentile 63 ###### 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 | true | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 36, "countPercentile": 55, "medianCount": 75.5, "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": 5, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.1549295774647885 ##### count 71 ##### university ###### size 1077 ###### gpa Percentile 18 ###### count Percentile 53 ###### 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 | true | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 8, "countPercentile": 67, "medianCount": 59, "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": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 2.889830508474576 ##### count 59 ##### university ###### size 1102 ###### gpa Percentile 3 ###### count Percentile 43 ###### 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 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 0, "countPercentile": 45, "medianCount": 60, "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": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.1538461538461537 ##### count 65 ##### university ###### size 1111 ###### gpa Percentile 11 ###### count Percentile 47 ###### 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 | true | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 18, "countPercentile": 45, "medianCount": 65, "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": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.048076923076923 ##### count 52 ##### university ###### size 1157 ###### gpa Percentile 7 ###### count Percentile 38 ###### 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 | true | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 9, "countPercentile": 45, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3 ##### count 51 ##### university ###### size 1216 ###### gpa Percentile 6 ###### count Percentile 37 ###### 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 | true | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 0, "countPercentile": 45, "medianCount": 51, "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": 5, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 2.875 ##### count 48 ##### university ###### size 1295 ###### gpa Percentile 2 ###### count Percentile 35 ###### 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 | true | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 0, "countPercentile": 18, "medianCount": 54, "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": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.2403846153846154 ##### count 52 ##### university ###### size 1333 ###### gpa Percentile 12 ###### count Percentile 37 ###### 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 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 12, "gpaPercentile": 18, "countPercentile": 36, "medianCount": 63, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.2045454545454546 ##### count 66 ##### university ###### size 1320 ###### gpa Percentile 11 ###### count Percentile 47 ###### 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": "FOODSCI", "comparison": null }, { "subject": "MICROBIO", "comparison": { "size": 13, "gpaPercentile": 17, "countPercentile": 67, "medianCount": 57, "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": 4, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4146 ###### gpa 3.655576857310451 ###### top Share 81.61127984016484 ###### count 193 ##### FOODSCI ###### size 19 ###### gpa 3.4000687131521343 ###### top Share 64.7319494768088 ###### count 226 ##### MICROBIO ###### size 21 ###### gpa 3.520136716676587 ###### top Share 70.02960201700391 ###### count 733 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### MICROBIO ###### size 11 ###### gpa 3.3450786852393324 ###### top Share 58.1139852764356 ###### count 56 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### MICROBIO ###### size 11 ###### gpa 3.2023951221587406 ###### top Share 49.35451810735929 ###### count 55 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### MICROBIO ###### size 12 ###### gpa 3.218843570163392 ###### top Share 53.87327470690813 ###### count 60 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### MICROBIO ###### size 11 ###### gpa 3.23093276238275 ###### top Share 52.876509049183575 ###### count 61 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### MICROBIO ###### size 11 ###### gpa 3.164706350372514 ###### top Share 48.95415755675061 ###### count 68 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### MICROBIO ###### size 12 ###### gpa 3.3733693439770835 ###### top Share 60.393709391234275 ###### count 79 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### MICROBIO ###### size 13 ###### gpa 3.3062938089873275 ###### top Share 55.861924139369826 ###### count 62 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### MICROBIO ###### size 13 ###### gpa 3.3245690050048697 ###### top Share 58.15952429216176 ###### count 78 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### MICROBIO ###### size 14 ###### gpa 3.3835802480854715 ###### top Share 61.98359235086775 ###### count 67.5 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### MICROBIO ###### size 12 ###### gpa 3.375356717109529 ###### top Share 59.95633365389819 ###### count 75.5 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### MICROBIO ###### size 13 ###### gpa 3.3856282972738163 ###### top Share 60.56256837357981 ###### count 59 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### MICROBIO ###### size 12 ###### gpa 3.3863294677657625 ###### top Share 58.912850542574226 ###### count 60 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### MICROBIO ###### size 12 ###### gpa 3.4640598539997356 ###### top Share 65.71289127908611 ###### count 65 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### MICROBIO ###### size 12 ###### gpa 3.4031789352662347 ###### top Share 61.43186245060833 ###### count 55 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### MICROBIO ###### size 12 ###### gpa 3.4208813383253847 ###### top Share 62.20982706405716 ###### count 51 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### MICROBIO ###### size 12 ###### gpa 3.3844851592825442 ###### top Share 60.35002960217381 ###### count 54 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### MICROBIO ###### size 12 ###### gpa 3.487467221017038 ###### top Share 65.92107506231086 ###### count 63 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### MICROBIO ###### size 13 ###### gpa 3.4650783207340434 ###### top Share 67.77710359326059 ###### count 57 ## instructor Trends ```json [ { "uid": "instructor_2f264a42dbb4f308c26e7124", "name": "CHARLES KASPAR", "count": 1360, "terms": [ { "term": "1072", "count": 89, "sections": 1, "gpa": 3.0168539325842696 }, { "term": "1082", "count": 84, "sections": 1, "gpa": 2.863095238095238 }, { "term": "1092", "count": 70, "sections": 1, "gpa": 2.9571428571428573 }, { "term": "1102", "count": 67, "sections": 1, "gpa": 2.955223880597015 }, { "term": "1142", "count": 121, "sections": 1, "gpa": 3.1404958677685952 }, { "term": "1152", "count": 143, "sections": 1, "gpa": 2.9825174825174825 }, { "term": "1162", "count": 127, "sections": 1, "gpa": 3.125984251968504 }, { "term": "1172", "count": 105, "sections": 1, "gpa": 3.119047619047619 }, { "term": "1182", "count": 90, "sections": 1, "gpa": 3.1777777777777776 }, { "term": "1192", "count": 71, "sections": 1, "gpa": 3.1549295774647885 }, { "term": "1202", "count": 59, "sections": 1, "gpa": 2.889830508474576 }, { "term": "1212", "count": 65, "sections": 1, "gpa": 3.1538461538461537 }, { "term": "1222", "count": 52, "sections": 1, "gpa": 3.048076923076923 }, { "term": "1232", "count": 51, "sections": 1, "gpa": 3 }, { "term": "1242", "count": 48, "sections": 1, "gpa": 2.875 }, { "term": "1252", "count": 52, "sections": 1, "gpa": 3.2403846153846154 }, { "term": "1262", "count": 66, "sections": 1, "gpa": 3.2045454545454546 } ] }, { "uid": "instructor_45dfc3b29d345fd7ae9f9f21", "name": "AMY WONG", "count": 360, "terms": [ { "term": "1092", "count": 70, "sections": 1, "gpa": 2.9571428571428573 }, { "term": "1112", "count": 90, "sections": 1, "gpa": 2.6555555555555554 }, { "term": "1122", "count": 86, "sections": 1, "gpa": 3.0813953488372094 }, { "term": "1132", "count": 114, "sections": 1, "gpa": 2.8815789473684212 } ] } ] ``` ## following | code | title | | -------------------- | ------------------------------- | | FOODSCI 432 | PRINCIPLES OF FOOD PRESERVATION | | FOODSCI/MICROBIO 324 | FOOD MICROBIOLOGY LABORATORY | ## projection ### target 1272 ### interval #### lower 2.84 #### upper 3.36 #### coverage 80 #### terms 8 ### gpa 3.1001146640128074 ### grades | grade | percentage | | ----- | ------------------- | | A | 33.33685427786276 | | AB | 9.501750128062527 | | B | 29.209227184981028 | | BC | 7.70102684317204 | | C | 16.57517758254102 | | D | 3.377320013655652 | | F | 0.29864396972496754 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 269 ### same Season true ### historical Range * 2.875 * 3.2403846153846154 ### backtest #### terms 8 #### gpa Error 0.12958515222284722 #### mix Error 15.006068281959442