COMPSCI 702 is a Graduate Cooperative Education course where students apply computer science principles in a hands-on, professional setting.
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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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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.
RMP profile ↗ · All captured review dates; profile matched by name.
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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.
RMP profile ↗ · All captured review dates; profile matched by name.
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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.
RMP profile ↗ · All captured review dates; profile matched by name.
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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.
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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.
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.
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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.
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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.
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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.
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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.
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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.
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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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.
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| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| FLD 148 | Classroom Instruction | 2 / 0 | 0 |
| FLD 144 | Classroom Instruction | 2 / 0 | 0 |
| FLD 029 | Classroom Instruction | 4 / 0 | 0 |
| FLD 006 | Classroom Instruction | 0 / 0 | 0 |
| FLD 034 | Classroom Instruction | 1 / 0 | 0 |
| FLD 165 | Classroom Instruction | 2 / 0 | 0 |
| FLD 142 | Classroom Instruction | 1 / 0 | 0 |
| FLD 156 | Classroom Instruction | 4 / 0 | 0 |
| FLD 178 | Classroom Instruction | 0 / 0 | 0 |
| FLD 005 | Classroom Instruction | 0 / 0 | 0 |
| FLD 169 | Classroom Instruction | 3 / 0 | 0 |
| FLD 134 | Classroom Instruction | 1 / 0 | 0 |
| FLD 174 | Classroom Instruction | 0 / 0 | 0 |
| FLD 170 | Classroom Instruction | 1 / 0 | 0 |
| FLD 164 | Classroom Instruction | 0 / 0 | 0 |
| FLD 124 | Classroom Instruction | 0 / 0 | 0 |
| FLD 101 | Classroom Instruction | 2 / 0 | 0 |
| FLD 035 | Classroom Instruction | 3 / 0 | 0 |
| FLD 002 | Classroom Instruction | 0 / 0 | 0 |
| FLD 194 | Classroom Instruction | 1 / 0 | 0 |
| FLD 140 | Classroom Instruction | 1 / 0 | 0 |
| FLD 019 | Classroom Instruction | 0 / 0 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
No records available.
Apply computer sciences principles in a hands-on, professional setting.
No workload feedback recorded.
No grades available yet.
Descriptions, prerequisites, and recorded course offerings.
Observations at scan time; dates do not imply when a catalog change took effect.
Graduate Cooperative Education
Recorded 2026-09-07[
{
"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"
}
]Original comments behind the course and instructor summaries.
No records available.
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-09-07
Recorded model configuration, reasoning, and tool conversations.
{
"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"
}