Mobile Computing Laboratory
Mobile Computing Laboratory covers end-to-end project management, teamwork, and the design, implementation, and deployment of mobile systems and applications.
Summary
Past student reviews · Xinyu Zhang
The course expected students to maintain high standards and work hard, though grading was considered reasonable.
What you’ll be able to do
Use a contemporary development environment and programming language to develop mobile applications
Program the typical functionalities of modern smartphones (e.g., motion sensors, audio/video interface, GPS, and wireless networking modules)
Work effectively as a member of a team to complete a large programming project while utilizing modern collaboration tools
Communicate effectively through written reports, oral presentations and discussion
Review and discuss recent technological advancements in the growing mobile application domain
Source: UW Guide
Grade history
↗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 · unspecified
- graduate/professional standing
- Not open to special students or students with 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 · unspecified
- graduate/professional standing
- Not open to special students or students with credit forE C E 453, 455, or 554.
- Any of
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
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
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
Student experience
the class
Past student reviews · Xinyu Zhang
Prof. Zhang was described as very helpful, patient, and approachable, making it easy for students to seek help with questions.
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
Past student reviews · Xinyu Zhang
The course expected students to maintain high standards and work hard, though grading was considered reasonable.
Past student reviews · Xinyu Zhang
Students found Prof. Zhang to be methodical and professional in his teaching approach.
Topics
- Mobile computing platforms and systems.
- Design, implementation, and deployment of mobile applications.
- Project management and disciplined development practices.
- Smartphone functionalities including motion sensors, audio/video, GPS, and wireless networking.
Skills
- Project management, teamwork, and disciplined development practices for mobile systems.
- Developing mobile applications using contemporary environments and programming smartphone functionalities like sensors and GPS.
- Collaborating in teams on large programming projects using modern tools.
- Effective communication through written reports and oral presentations.
Grades
Latest available · Fall 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Fall 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 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
No offering records for the selected term.
Raw records
[]
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 gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "b5a9c55cfaf46a8a6078ede1cad508a92bca75f1c5376f03293ce550a0619353",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}