Fall 2026

Graduate Cooperative Education

COMPSCI 702 is a Graduate Cooperative Education course where students apply computer science principles in a hands-on, professional setting.

offering recorded1–2 credits

Summary

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Grade history

average GPA
letter grades

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Prerequisites

Course map

Consent of instructor

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COMPSCI 702

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Prerequisite text tree
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Professors

Fall 2026
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captured reviews
About this rating

Raw average: 4.69/5 from 16 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

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Raw average: 4.05/5 from 21 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

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captured reviews
About this rating

Raw average: 3.95/5 from 19 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

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/5Adjusted rating
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captured reviews
About this rating

Raw average: 3.81/5 from 83 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

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About this rating

Raw average: 3.92/5 from 13 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

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/5Adjusted rating
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About this rating

Raw average: 4.00/5 from 8 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

No course-specific feedback yet.

/5Adjusted rating
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captured reviews
About this rating

Raw average: 3.88/5 from 8 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

No course-specific feedback yet.

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.69/5 from 13 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

No course-specific feedback yet.

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.67/5 from 12 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

No course-specific feedback yet.

/5Adjusted rating
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captured reviews
About this rating

Raw average: 3.67/5 from 3 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

No course-specific feedback yet.

/5Adjusted rating
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captured reviews
About this rating

Raw average: 3.59/5 from 27 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

No course-specific feedback yet.

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.48/5 from 31 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

No course-specific feedback yet.

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 1.50/5 from 2 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

No course-specific feedback yet.

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 2.95/5 from 20 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

No course-specific feedback yet.

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Historical instructors & teaching patterns

ANDREA ARPACI-DUSSEAU is recorded teaching in Spring 2025. Recorded history may be incomplete and does not establish a future schedule.

AWS ALBARGHOUTHI is recorded teaching in Spring 2022, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

DIMITRIOS PAPAILIOPOULOS is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

EFTYCHIOS SIFAKIS is recorded teaching in Fall 2021, Fall 2024, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

JACOB THEBAULT-SPIEKER is recorded teaching in Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

JOSIAH HANNA is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

JUNJIE HU is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

KASSEM FAWAZ is recorded teaching in Fall 2021. Recorded history may be incomplete and does not establish a future schedule.

MATT SINCLAIR is recorded teaching in Fall 2021, Spring 2022, Fall 2022, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

MICHAEL SWIFT is recorded teaching in Fall 2022, Spring 2023, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

PATRICK MCDANIEL is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

REMZI ARPACI-DUSSEAU is recorded teaching in Fall 2023, Spring 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

SOMESH JHA is recorded teaching in Fall 2021, Spring 2022, Fall 2022, Fall 2023, Fall 2024. Recorded history may be incomplete and does not establish a future schedule.

SUMAN BANERJEE is recorded teaching in Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

YIN LI is recorded teaching in Fall 2021, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

YONG JAE LEE is recorded teaching in Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Fall 2024, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

YUDONG CHEN is recorded teaching in Fall 2024, Spring 2025, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
FLD 148Classroom Instruction2 / 00
FLD 144Classroom Instruction2 / 00
FLD 029Classroom Instruction4 / 00
FLD 006Classroom Instruction0 / 00
FLD 034Classroom Instruction1 / 00
FLD 165Classroom Instruction2 / 00
FLD 142Classroom Instruction1 / 00
FLD 156Classroom Instruction4 / 00
FLD 178Classroom Instruction0 / 00
FLD 005Classroom Instruction0 / 00
FLD 169Classroom Instruction3 / 00
FLD 134Classroom Instruction1 / 00
FLD 174Classroom Instruction0 / 00
FLD 170Classroom Instruction1 / 00
FLD 164Classroom Instruction0 / 00
FLD 124Classroom Instruction0 / 00
FLD 101Classroom Instruction2 / 00
FLD 035Classroom Instruction3 / 00
FLD 002Classroom Instruction0 / 00
FLD 194Classroom Instruction1 / 00
FLD 140Classroom Instruction1 / 00
FLD 019Classroom Instruction0 / 00

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

No records available.

Student experience

the class

Apply computer sciences principles in a hands-on, professional setting.

difficulty & workload

No workload feedback recorded.

Topics

  • Graduate cooperative education
  • Computer science principles

Skills

  • Applying computer science principles in professional settings

Grades

Instructor

Grade distribution · % of letter grades

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More grade details Grade mix, volume & source data

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Selected offering source records
COMPSCI 702 · Fall 2026

Graduate Cooperative Education

Recorded 2026-09-07
Raw records
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:266:025894",
    "course_id": "COMPSCI 702",
    "course_uid": "course_6df6c8e6318f10aeab318e00",
    "term_id": "1272",
    "source_course_id": "025894",
    "source_subject_id": "266",
    "title": "Graduate Cooperative Education",
    "credits_min": 1,
    "credits_max": 2,
    "typically_offered": "Not Applicable"
  }
]
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Madgrades

Grade history

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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "99ccd2caadf1ec414cfb395733a1f10a9159ae5013e66769967530a04f7cc777",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}