Recent recorded grades — Fall 2021: 3.95 GPA, 97.0% A/AB (n=33 letter grades); Fall 2023: 3.85 GPA, 95.0% A/AB (n=20 letter grades); Spring 2024: 3.96 GPA, 96.2% A/AB (n=26 letter grades).
Mobile Computing Laboratory
Teaches project management, teamwork, and disciplined development for mobile systems.
Summary
Historical reviews of Xinyu Zhang: Reviewers note that the course expects students to maintain high standards and work hard, though grading is considered reasonable.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapCOMP SCI 400 or graduate/professional standing. Not open to special students or students with credit forE C E 453, 455, or 554.
- COMPSCI 400
- graduate/professional standing
- special students
- credit forE C E 453, 455, or 554
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- All of
- Any of
- COMPSCI 400
- graduate/professional standing
- Not eligible with
- Any of
- special students
- credit forE C E 453, 455, or 554
- Any of
- Any of
Professors
Fall 2026Historical instructors & teaching patterns
Historical reviews for Xinyu Zhang describe him as helpful, patient, and approachable with strong subject knowledge. He is also characterized as methodical and professional, with reasonable grading that expects students to maintain high standards and work hard.
KASSEM FAWAZ is recorded teaching in Fall 2017, Spring 2019, Fall 2019, Fall 2020, Fall 2021, Fall 2023, Spring 2024. Recorded history may be incomplete and does not establish a future schedule.
XINYU ZHANG is recorded teaching in Fall 2012, Fall 2013, Fall 2015, Fall 2016. 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 | 12 / 0 | 0 |
| LAB 301 | Classroom Instruction | 12 / 0 | 0 |
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
Historical reviews for Xinyu Zhang describe a helpful, patient, and methodical instructor with reasonable grading who expects high standards and hard work from students.
Recent recorded grades — Spring 2024: 3.96 GPA, 96.2% A/AB (n=26 letter grades); Fall 2024: 4.00 GPA, 100.0% A/AB (n=18 letter grades); Fall 2025: 3.97 GPA, 100.0% A/AB (n=19 letter grades).
difficulty & workload
Historical reviews of Xinyu Zhang: Reviewers note that the course expects students to maintain high standards and work hard, though grading is considered reasonable.
Students found the historical instructor approachable and knowledgeable, noting that help was readily available when questions arose.
Topics
Skills
Grades
Latest available · Fall 2025— not enough history to project Fall 2026.
Grade distribution · % of letter grades
Grades over time
Through Fall 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Fall 2026 in UW–Madison.
Sources & history
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
Mobile Computing Laboratory
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:320:023622",
"course_id": "ECE 454",
"course_uid": "course_f5cf8ba190ceb4a3bcb0e773",
"term_id": "1272",
"source_course_id": "023622",
"source_subject_id": "320",
"title": "Mobile Computing Laboratory",
"credits_min": 4,
"credits_max": 4,
"typically_offered": "Fall"
}
]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
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": "2f56d5f8f3efa88b40b22d59ede9bd594226a8414bce7c123a89e90605c830cd",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}