# FOODSCI 550: Fermented Foods and Beverages | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/FOODSCI_550)

## 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
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* 1252
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* 1242
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* 1194
* 1192
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* 1182
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* 1172
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### 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

ed784b7bf55bcf7ed57a25a205a3f4c5a6b5219135498f9b669e7c8e4c2c33c9

### course id

FOODSCI 550

### course uid

course\_abf31e6e80a1936d51d19da6

### catalog version id

a738b73f34b7d3f2b8401c045ec592d0042f01c5a220414b5d1af09b8fee7a82

### course number

550

### subjects

* FOODSCI

### title

FERMENTED FOODS AND BEVERAGES

### description

Chemistry, microbiology, and technology of foods and beverages in which fermentations are important (e.g. cheese, bread, pickles, beer). Fermentation techniques in developing new foods and food additives. Instrumentation and mechanization of food fermentations.

### requirements text

FOOD SCI 150

### credit offering ids

None recorded.

### llm job id

enrich-f516c4d3e82cfe326b4f5f54

### llm output id

4e0e1a774866d46690483cb58a19c0903c9d6e6af9a408b675eaaae60cf9c464

### llm model

nvidia/Qwen3.6-35B-A3B-NVFP4

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

Covers the chemistry, microbiology, and technology of fermented foods and beverages like cheese, bread, and beer.

### llm topics

* Chemistry, microbiology, and technology of fermented foods and beverages.
* Fermentation techniques for new foods and additives.

### llm skills

* Developing new foods and food additives using fermentation techniques.
* Instrumentation and mechanization of food fermentations.

### llm assumed background

* Basic sciences including chemistry, biochemistry, and microbiology as they apply to fermentation processes.

### llm search phrases

* fermented foods technology
* food fermentation microbiology
* FOODSCI 550 cheese bread beer
* food additive fermentation

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

valid

### catalog variants

None recorded.

### student summary

#### context hash

92da31b5203709d1284399ee6b817479de939c9396283f7eff46415a5de89e01

#### course id

FOODSCI 550

#### current instructors

None recorded.

#### difficulty workload

Historical reviews of Victor Ujor: Open-note quizzes are difficult, but exams are very easy, making good grades doable.

```json
{
  "citations": [
    {
      "instructor_name": "Victor Ujor",
      "review_date": "2026-04-29 13:52:10 +0000 UTC",
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      "source_review_id": "UmF0aW5nLTQyOTY2OTE5",
      "source_url": "https://www.ratemyprofessors.com/professor/2920894",
      "type": "review"
    }
  ]
}
```

#### errors

None recorded.

#### historical context

Historical reviews of Victor Ujor: Victor Ujor is described as a passionate lecturer who imparts enthusiasm for food fermentation. Reviewers note his clear exam guidance and lack of busy work, though one mentions difficult open-note quizzes despite easy exams.

```json
{
  "citations": [
    {
      "instructor_name": "Victor Ujor",
      "review_date": "2023-07-22 21:56:15 +0000 UTC",
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      "source_instructor_id": "rmp:2920894",
      "source_review_id": "UmF0aW5nLTM4MTE3MjQy",
      "source_url": "https://www.ratemyprofessors.com/professor/2920894",
      "type": "review"
    },
    {
      "instructor_name": "Victor Ujor",
      "review_date": "2026-04-29 13:52:10 +0000 UTC",
      "review_id": "96145a658b66b7052a1f0710",
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```

#### offered

false

#### profile hash

e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1

#### quick take

Historical reviews of Victor Ujor: Victor Ujor is a passionate lecturer who makes the course highly recommended, with exams described as easy and grades doable despite difficult open-note quizzes.

```json
{
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    {
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      "type": "review"
    },
    {
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```

Recent recorded grades — Spring 2024: 3.67 GPA, 76.7% A/AB (n=30 letter grades); Spring 2025: 3.81 GPA, 85.7% A/AB (n=21 letter grades); Spring 2026: 3.79 GPA, 89.7% A/AB (n=39 letter grades).

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#### student experience

Historical reviews of Victor Ujor: In-person attendance provides extra credit, and the instructor clarifies exam content directly, avoiding busy work.

```json
{
  "citations": [
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      "type": "review"
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```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

VICTOR UJOR is recorded teaching in Spring 2022, Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

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```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
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      "timing": "prior"
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    "evidence": "FOOD SCI 150",
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    "kind": "course"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

```json
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        48,
        6
      ],
      "sections": 24
    },
    "instructor_url": "/instructors/HANS_ZOERB--instructor_ef580471ebde58b04d6ae582"
  },
  {
    "instructor_uid": "instructor_13c1856008affe81dcd6ab29",
    "source": "madgrades",
    "source_instructor_id": "464468",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "MONICA THEIS",
    "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": 9,
      "quality": 4.11,
      "difficulty": 3.33,
      "quality_count": 9,
      "difficulty_count": 9,
      "profile_id": "rmp:791250",
      "source_url": "https://www.ratemyprofessors.com/professor/791250",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:16:32.305724+00:00",
      "courses": {},
      "bayesian_quality": 3.7994384714114453,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.461,
      "graded": 2140,
      "counts": [
        835,
        699,
        389,
        136,
        48,
        17,
        16
      ],
      "sections": 101
    },
    "instructor_url": "/instructors/MONICA_THEIS"
  },
  {
    "instructor_uid": "instructor_3b5e4074da90f97288ea8d00",
    "source": "madgrades",
    "source_instructor_id": "5802628",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "NICHOLAS 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": 3.886,
      "graded": 800,
      "counts": [
        700,
        46,
        40,
        7,
        5,
        0,
        2
      ],
      "sections": 34
    },
    "instructor_url": "/instructors/NICHOLAS_SMITH--instructor_3b5e4074da90f97288ea8d00"
  },
  {
    "instructor_uid": "instructor_287aad6939f9d755e4473812",
    "source": "madgrades",
    "source_instructor_id": "6327688",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "VICTOR UJOR",
    "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": 2,
      "quality": 5,
      "difficulty": 2.5,
      "quality_count": 2,
      "difficulty_count": 2,
      "profile_id": "rmp:2920894",
      "source_url": "https://www.ratemyprofessors.com/professor/2920894",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:00:06.868846+00:00",
      "courses": {
        "course_abf31e6e80a1936d51d19da6": {
          "review_count": 2,
          "quality": 5,
          "difficulty": 2.5,
          "quality_count": 2,
          "difficulty_count": 2
        }
      },
      "bayesian_quality": 3.781532530496905,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.78,
      "graded": 241,
      "counts": [
        180,
        31,
        26,
        1,
        1,
        0,
        2
      ],
      "sections": 31
    },
    "instructor_url": "/instructors/VICTOR_UJOR--instructor_287aad6939f9d755e4473812"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "FOODSCI 550",
    "course_uid": "course_abf31e6e80a1936d51d19da6",
    "term_id": "1144",
    "term_name": "Spring 2014",
    "instructors": [
      "JAMES STEELE"
    ],
    "a": 4,
    "ab": 6,
    "b": 16,
    "bc": 4,
    "c": 2,
    "d": 0,
    "f": 0,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 33,
    "source_aliases": [
      "FOODSCI 550"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "FOODSCI 550",
    "course_uid": "course_abf31e6e80a1936d51d19da6",
    "term_id": "1154",
    "term_name": "Spring 2015",
    "instructors": [
      "JAMES STEELE"
    ],
    "a": 11,
    "ab": 5,
    "b": 7,
    "bc": 13,
    "c": 4,
    "d": 1,
    "f": 0,
    "satisfactory": 9,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 50,
    "source_aliases": [
      "FOODSCI 550"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "FOODSCI 550",
    "course_uid": "course_abf31e6e80a1936d51d19da6",
    "term_id": "1164",
    "term_name": "Spring 2016",
    "instructors": [
      "Arnoldo Lopez-Hernandez",
      "HANS ZOERB",
      "JAMES STEELE"
    ],
    "a": 12,
    "ab": 18,
    "b": 15,
    "bc": 10,
    "c": 8,
    "d": 3,
    "f": 0,
    "satisfactory": 8,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 74,
    "source_aliases": [
      "FOODSCI 550"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "FOODSCI 550",
    "course_uid": "course_abf31e6e80a1936d51d19da6",
    "term_id": "1174",
    "term_name": "Spring 2017",
    "instructors": [
      "JAMES STEELE"
    ],
    "a": 8,
    "ab": 16,
    "b": 11,
    "bc": 7,
    "c": 4,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 46,
    "source_aliases": [
      "FOODSCI 550"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "FOODSCI 550",
    "course_uid": "course_abf31e6e80a1936d51d19da6",
    "term_id": "1184",
    "term_name": "Spring 2018",
    "instructors": [
      "JAMES STEELE",
      "MONICA THEIS",
      "Nicholas Smith"
    ],
    "a": 24,
    "ab": 4,
    "b": 6,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 3,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 37,
    "source_aliases": [
      "FOODSCI 550"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "FOODSCI 550",
    "course_uid": "course_abf31e6e80a1936d51d19da6",
    "term_id": "1194",
    "term_name": "Spring 2019",
    "instructors": [
      "Nicholas Smith"
    ],
    "a": 42,
    "ab": 1,
    "b": 0,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 1,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 44,
    "source_aliases": [
      "FOODSCI 550"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "FOODSCI 550",
    "course_uid": "course_abf31e6e80a1936d51d19da6",
    "term_id": "1204",
    "term_name": "Spring 2020",
    "instructors": [
      "Nicholas Smith"
    ],
    "a": 68,
    "ab": 0,
    "b": 0,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 69,
    "source_aliases": [
      "FOODSCI 550"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "FOODSCI 550",
    "course_uid": "course_abf31e6e80a1936d51d19da6",
    "term_id": "1224",
    "term_name": "Spring 2022",
    "instructors": [
      "Nicholas Smith",
      "Victor Ujor"
    ],
    "a": 28,
    "ab": 2,
    "b": 5,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 36,
    "source_aliases": [
      "FOODSCI 550"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "FOODSCI 550",
    "course_uid": "course_abf31e6e80a1936d51d19da6",
    "term_id": "1234",
    "term_name": "Spring 2023",
    "instructors": [
      "Nicholas Smith",
      "Victor Ujor"
    ],
    "a": 21,
    "ab": 6,
    "b": 4,
    "bc": 0,
    "c": 1,
    "d": 0,
    "f": 0,
    "satisfactory": 3,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 35,
    "source_aliases": [
      "FOODSCI 550"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "FOODSCI 550",
    "course_uid": "course_abf31e6e80a1936d51d19da6",
    "term_id": "1244",
    "term_name": "Spring 2024",
    "instructors": [
      "Nicholas Smith",
      "Victor Ujor"
    ],
    "a": 17,
    "ab": 6,
    "b": 7,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 4,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 34,
    "source_aliases": [
      "FOODSCI 550"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "FOODSCI 550",
    "course_uid": "course_abf31e6e80a1936d51d19da6",
    "term_id": "1254",
    "term_name": "Spring 2025",
    "instructors": [
      "Nicholas Smith",
      "Victor Ujor"
    ],
    "a": 16,
    "ab": 2,
    "b": 3,
    "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": 21,
    "source_aliases": [
      "FOODSCI 550"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "FOODSCI 550",
    "course_uid": "course_abf31e6e80a1936d51d19da6",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "Nicholas Smith",
      "Victor Ujor"
    ],
    "a": 27,
    "ab": 8,
    "b": 4,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 39,
    "source_aliases": [
      "FOODSCI 550"
    ]
  }
]
```

### statistics

#### gpa

3.549

#### graded

488

#### counts

* 278
* 74
* 78
* 34
* 19
* 4
* 1

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_abf31e6e80a1936d51d19da6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_abf31e6e80a1936d51d19da6-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_abf31e6e80a1936d51d19da6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_abf31e6e80a1936d51d19da6-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_abf31e6e80a1936d51d19da6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_abf31e6e80a1936d51d19da6-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_abf31e6e80a1936d51d19da6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_abf31e6e80a1936d51d19da6-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.5491803278688523

#### count

488

#### university

##### size

3857

##### gpa Percentile

28

##### count Percentile

80

##### median Count

147

##### 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 | 11    | false   |
| 2.8–3.2 | 261   | false   |
| 3.2–3.6 | 1029  | true    |
| 3.6–4.0 | 2556  | false   |

#### departments

```json
[
  {
    "subject": "FOODSCI",
    "comparison": {
      "size": 17,
      "gpaPercentile": 44,
      "countPercentile": 94,
      "medianCount": 239,
      "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": false
        },
        {
          "range": "3.2–3.6",
          "count": 6,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 6,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1144

##### term

1144

##### gpa

3.09375

##### count

32

##### university

###### size

878

###### gpa Percentile

21

###### count Percentile

4

###### 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   | true    |
| 3.2–3.6 | 302   | false   |
| 3.6–4.0 | 299   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| FOODSCI |            |

#### 1154

##### term

1154

##### gpa

3.024390243902439

##### count

41

##### university

###### size

935

###### gpa Percentile

15

###### count Percentile

22

###### 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   | true    |
| 3.2–3.6 | 326   | false   |
| 3.6–4.0 | 334   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| FOODSCI |            |

#### 1164

##### term

1164

##### gpa

3.0303030303030303

##### count

66

##### university

###### size

965

###### gpa Percentile

13

###### count Percentile

48

###### 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   | true    |
| 3.2–3.6 | 319   | false   |
| 3.6–4.0 | 390   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| FOODSCI |            |

#### 1174

##### term

1174

##### gpa

3.1847826086956523

##### count

46

##### university

###### size

955

###### gpa Percentile

25

###### count Percentile

28

###### 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   | true    |
| 3.2–3.6 | 332   | false   |
| 3.6–4.0 | 369   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| FOODSCI |            |

#### 1184

##### term

1184

##### gpa

3.764705882352941

##### count

34

##### university

###### size

1010

###### gpa Percentile

75

###### count Percentile

7

###### 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 |
| ------- | ---------- |
| FOODSCI |            |

#### 1194

##### term

1194

##### gpa

3.988372093023256

##### count

43

##### university

###### size

1040

###### gpa Percentile

95

###### count Percentile

24

###### 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 |
| ------- | ---------- |
| FOODSCI |            |

#### 1204

##### term

1204

##### gpa

4

##### count

68

##### university

###### size

1012

###### gpa Percentile

93

###### count Percentile

52

###### 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 |
| ------- | ---------- |
| FOODSCI |            |

#### 1224

##### term

1224

##### gpa

3.7222222222222223

##### count

36

##### university

###### size

1171

###### gpa Percentile

60

###### 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

| subject | comparison |
| ------- | ---------- |
| FOODSCI |            |

#### 1234

##### term

1234

##### gpa

3.71875

##### count

32

##### university

###### size

1188

###### gpa Percentile

59

###### count Percentile

5

###### 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

| subject | comparison |
| ------- | ---------- |
| FOODSCI |            |

#### 1244

##### term

1244

##### gpa

3.6666666666666665

##### count

30

##### university

###### size

1241

###### gpa Percentile

52

###### count Percentile

0

###### 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

| subject | comparison |
| ------- | ---------- |
| FOODSCI |            |

#### 1254

##### term

1254

##### gpa

3.8095238095238093

##### count

21

##### departments

| subject | comparison |
| ------- | ---------- |
| FOODSCI |            |

#### 1264

##### term

1264

##### gpa

3.7948717948717947

##### count

39

##### university

###### size

1283

###### gpa Percentile

62

###### count Percentile

18

###### 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

| subject | comparison |
| ------- | ---------- |
| FOODSCI |            |

### benchmarks

#### all

##### school

###### size

3857

###### gpa

3.6765573337568056

###### top Share

82.9558451655162

###### count

147

##### FOODSCI

###### size

17

###### gpa

3.481654366178221

###### top Share

69.61089005739939

###### count

239

#### terms

##### 1144

###### school

###### size

878

###### gpa

3.4092443327803017

###### top Share

65.95978235963416

###### count

64

##### 1154

###### school

###### size

935

###### gpa

3.4282378385810093

###### top Share

67.66674668721691

###### count

63

##### 1164

###### school

###### size

965

###### gpa

3.46491230798535

###### top Share

69.92376287143657

###### count

68

##### 1174

###### school

###### size

955

###### gpa

3.4597947384071412

###### top Share

69.5290038366363

###### count

69

##### 1184

###### school

###### size

1010

###### gpa

3.47925290354517

###### top Share

70.86270937115944

###### count

68

##### 1194

###### school

###### size

1040

###### gpa

3.4906527436719808

###### top Share

71.74728845515045

###### count

67

##### 1204

###### school

###### size

1012

###### gpa

3.703747431523761

###### top Share

84.59811226304916

###### count

65.5

##### 1224

###### school

###### size

1171

###### gpa

3.5627882428500937

###### top Share

76.37271640560496

###### count

64

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

## instructor Trends

```json
[
  {
    "uid": "instructor_3b5e4074da90f97288ea8d00",
    "name": "NICHOLAS SMITH",
    "count": 303,
    "terms": [
      {
        "term": "1184",
        "count": 34,
        "sections": 1,
        "gpa": 3.764705882352941
      },
      {
        "term": "1194",
        "count": 43,
        "sections": 1,
        "gpa": 3.988372093023256
      },
      {
        "term": "1204",
        "count": 68,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1224",
        "count": 36,
        "sections": 1,
        "gpa": 3.7222222222222223
      },
      {
        "term": "1234",
        "count": 32,
        "sections": 1,
        "gpa": 3.71875
      },
      {
        "term": "1244",
        "count": 30,
        "sections": 1,
        "gpa": 3.6666666666666665
      },
      {
        "term": "1254",
        "count": 21,
        "sections": 1,
        "gpa": 3.8095238095238093
      },
      {
        "term": "1264",
        "count": 39,
        "sections": 1,
        "gpa": 3.7948717948717947
      }
    ]
  },
  {
    "uid": "instructor_fa62fdd090050daf59e342cb",
    "name": "JAMES STEELE",
    "count": 219,
    "terms": [
      {
        "term": "1144",
        "count": 32,
        "sections": 1,
        "gpa": 3.09375
      },
      {
        "term": "1154",
        "count": 41,
        "sections": 1,
        "gpa": 3.024390243902439
      },
      {
        "term": "1164",
        "count": 66,
        "sections": 1,
        "gpa": 3.0303030303030303
      },
      {
        "term": "1174",
        "count": 46,
        "sections": 1,
        "gpa": 3.1847826086956523
      },
      {
        "term": "1184",
        "count": 34,
        "sections": 1,
        "gpa": 3.764705882352941
      }
    ]
  },
  {
    "uid": "instructor_287aad6939f9d755e4473812",
    "name": "VICTOR UJOR",
    "count": 158,
    "terms": [
      {
        "term": "1224",
        "count": 36,
        "sections": 1,
        "gpa": 3.7222222222222223
      },
      {
        "term": "1234",
        "count": 32,
        "sections": 1,
        "gpa": 3.71875
      },
      {
        "term": "1244",
        "count": 30,
        "sections": 1,
        "gpa": 3.6666666666666665
      },
      {
        "term": "1254",
        "count": 21,
        "sections": 1,
        "gpa": 3.8095238095238093
      },
      {
        "term": "1264",
        "count": 39,
        "sections": 1,
        "gpa": 3.7948717948717947
      }
    ]
  },
  {
    "uid": "instructor_ded33b016a0d4793c1b1dd38",
    "name": "ARNOLDO LOPEZ-HERNANDEZ",
    "count": 66,
    "terms": [
      {
        "term": "1164",
        "count": 66,
        "sections": 1,
        "gpa": 3.0303030303030303
      }
    ]
  },
  {
    "uid": "instructor_ef580471ebde58b04d6ae582",
    "name": "HANS ZOERB",
    "count": 66,
    "terms": [
      {
        "term": "1164",
        "count": 66,
        "sections": 1,
        "gpa": 3.0303030303030303
      }
    ]
  },
  {
    "uid": "instructor_13c1856008affe81dcd6ab29",
    "name": "MONICA THEIS",
    "count": 34,
    "terms": [
      {
        "term": "1184",
        "count": 34,
        "sections": 1,
        "gpa": 3.764705882352941
      }
    ]
  }
]
```

## following

None recorded.
