Recent recorded grades — Spring 2025: 3.77 GPA, 100.0% A/AB (n=11 letter grades).
Spring 2027
Program Verification and Synthesis
Formal methods for program verification covering model-checking, temporal logics, automata connections, and special topics like program synthesis and privacy property verification.
offering recorded3 credits
Recorded instructors · Spring 2027 Adithya Murali
Summary
1 / 3
Recent recorded grades — Fall 2022: 3.80 GPA, 96.0% A/AB (n=25 letter grades); Fall 2023: 3.92 GPA, 96.0% A/AB (n=25 letter grades); Spring 2025: 3.77 GPA, 100.0% A/AB (n=11 letter grades).
What you’ll be able to do
Logic: Syntax and formal semantics of temporal logics such as LTL and MSO and formalizing software safety properties. Translations from temporal logics to automata.
Model Checking: Understand algorithms for checking whether a program satisfies a temporal property in temporal logic and apply such algorithms to verification problems.
Synthesis: Understand and apply state-of-the-art program synthesis algorithms such as counterexample-guided inductive synthesis, syntax-guided synthesis, sketching, and MCMC sampling.
Source: UW Guide
Grade history
↗ average GPA
140140 letter grades
A60.7%60.7%
AB30.0%30.0%
B8.6%8.6%
BC0.0%0.0%
C0.7%0.7%
D0.0%0.0%
F0.0%0.0%
All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing
- Graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Graduate/professional standing
Professors
Spring 2027Historical instructors & teaching patterns
ADITHYA MURALI is recorded teaching in 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
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 30 | 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
Recent recorded grades — Fall 2022: 3.80 GPA, 96.0% A/AB (n=25 letter grades); Fall 2023: 3.92 GPA, 96.0% A/AB (n=25 letter grades); Spring 2025: 3.77 GPA, 100.0% A/AB (n=11 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Model-checking, temporal logics (LTL, CTL), logic/automata connection, bisimulations, and probabilistic model-checking
- Program synthesis and verification/synthesis of privacy properties
Skills
- Formal semantics of temporal logics and translation to automata
- Applying model-checking algorithms to verification problems
- Applying program synthesis algorithms including CEGIS and syntax-guided synthesis
Grades
Latest available · Spring 2025— not enough history to project Spring 2027.
average GPA
A / AB grades
letter grades
Instructor
Grade distribution · % of letter grades
A54.5%54.5%
AB45.5%45.5%
B0.0%0.0%
BC0.0%0.0%
C0.0%0.0%
D0.0%0.0%
F0.0%0.0%
Grades over time
Through Spring 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
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
Program Verification and Synthesis
Recorded 2026-10-14Raw records
[
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:266:004302",
"course_id": "COMPSCI 703",
"course_uid": "course_ecff5c2de6527b0350b0998a",
"term_id": "1274",
"source_course_id": "004302",
"source_subject_id": "266",
"title": "Program Verification and Synthesis",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Occasionally"
}
]Rate My Professors
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
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Madgrades
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesDataset & model
View the dataset on Hugging Face Recorded 2026-10-14
Model outputs & technical records
Qwen/Qwen3.8-27B
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": "dc7e9554d5b8c161900af82868f9b4f7a377469f6681efb2265b57d0c0ed6240",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}