Hobbes Legault is described as accessible and caring, with engaging lectures that help clarify content. Reviewers appreciate her responsiveness to questions and clear course structure. Some note that programming assignments can be vague or that the course format has specific demands, but her teaching style is viewed positively.
Fall 2026
Programming II
Introduces object-oriented programming, data structures, and algorithmic design using Java.
Summary
1 / 6
The course features weekly long programming assignments or cumulative tests, with one reviewer noting that exams can be tough and require office hour support.
Grade history
↗ average GPA
letter grades
letter grades
A
AB
B
BC
C
D
F
All recorded terms · compare terms & instructors
Prerequisites
Course mapSatisfied QR-A and (COMP SCI 200, 220, 302, 310, 301, or placement into COMP SCI 300) or (E C E/COMP SCI 252 and E C E 203); graduate/professional standing; declared in Capstone Certificate in COMP SCI. Not open to students with credit for COMP SCI 367.
- Satisfied QR-A
- COMPSCI 200
- COMPSCI 220
- 302
- COMPSCI 310
- 301
- placement into COMP SCI 300
- take all
- graduate/professional standing
- declared in Capstone Certificate in COMP SCI
- credit for COMP SCI 367
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- All of
- Any of
- All of
- Satisfied QR-A
- Any of
- COMPSCI 200
- COMPSCI 220
- 302
- COMPSCI 310
- 301
- placement into COMP SCI 300
- All of
- graduate/professional standing
- declared in Capstone Certificate in COMP SCI
- All of
- Not eligible with
- credit for COMP SCI 367
- Any of
Professors
Fall 2026Historical instructors & teaching patterns
Historical instructor Laura Legault is described as fun and thorough in addressing questions, while Mark Mansi provides engaging, to-the-point lectures with on-the-spot examples. Both instructors receive high praise for clarity and student support.
ALEXANDER BROOKS is recorded teaching in Spring 2018, Fall 2018. Recorded history may be incomplete and does not establish a future schedule.
BLERINA GKOTSE is recorded teaching in Fall 2024. Recorded history may be incomplete and does not establish a future schedule.
GARY DAHL is recorded teaching in Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020. Recorded history may be incomplete and does not establish a future schedule.
JEFF NYHOFF is recorded teaching in Fall 2022. Recorded history may be incomplete and does not establish a future schedule.
LAURA LEGAULT is recorded teaching in Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
MARK MANSI is recorded teaching in Fall 2023. Recorded history may be incomplete and does not establish a future schedule.
MOUNA AYARI BEN HADJ KACEM is recorded teaching in Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Spring 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 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 146 / 150 | 0 |
| LEC 002 | Classroom Instruction | 261 / 265 | 1 |
| LEC 003 | Classroom Instruction | 64 / 60 | 5 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Reviewers describe Hobbes Legault as an accessible instructor with engaging lectures, though one notes the course covers basic object-oriented programming rather than advanced topics.
Recent recorded grades — Spring 2025: 3.00 GPA, 40.1% A/AB (n=593 letter grades); Fall 2025: 3.37 GPA, 62.9% A/AB (n=556 letter grades); Spring 2026: 3.17 GPA, 48.3% A/AB (n=478 letter grades).
difficulty & workload
The course features weekly long programming assignments or cumulative tests, with one reviewer noting that exams can be tough and require office hour support.
Students find the projects engaging and the professor helpful, but some report that programming assignments are vague and the mid-year project was poorly planned.
Topics
Skills
Grades
Fall 2026 · Projected
Before grades are released– average GPA
Approximate 80% prediction interval
About this estimate
The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.
The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.
7 earlier forecasts · 0.13 GPA average error.
Grades over time
Through Fall 2026
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Spring 2026 · all course levels
GPA
Higher than % of other courses in this group.
Course GPAs · red marks this course’s range
letter grades
More recorded grades than % of other courses in this group.
Typical course in this group: letter grades.
About this comparison
1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.
Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.
Sources & history
UW–Madison
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
Programming II
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:266:024795",
"course_id": "COMPSCI 300",
"course_uid": "course_28c3390ba944d49fd17f7c72",
"term_id": "1272",
"source_course_id": "024795",
"source_subject_id": "266",
"title": "Programming II",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Fall, Spring, Summer"
}
]Rate My Professors
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Madgrades
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel 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": "cdf54e305274426413326e4e99e99b776f7d9cba57dab7e44f04538c99bc248c",
"requirements_status": "needs_review",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}