Fundamentals of Heat Treatment
Covers principles of phase transformations and heat transfer applied to the design and modeling of heat treatment processes
Summary
Recent recorded grades — Fall 2018: 3.39 GPA, 63.6% A/AB (n=22 letter grades); Fall 2021: 3.58 GPA, 66.7% A/AB (n=6 letter grades); Spring 2025: 3.33 GPA, 55.6% A/AB (n=9 letter grades).
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapM S & E 352, graduate/professional standing, or member of Engineering Guest Students
- MS&E 352
- graduate/professional standing
- member of Engineering Guest Students
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- MS&E 352
- graduate/professional standing
- member of Engineering Guest Students
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
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 |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
Recent recorded grades — Fall 2018: 3.39 GPA, 63.6% A/AB (n=22 letter grades); Fall 2021: 3.58 GPA, 66.7% A/AB (n=6 letter grades); Spring 2025: 3.33 GPA, 55.6% A/AB (n=9 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
Skills
Grades
Latest available · Spring 2025— not enough history to project Fall 2026.
Grade distribution · % of letter grades
Grades over time
Through Spring 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Fall 2026 in UW–Madison.
Sources & history
Catalog & offerings
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Raw records
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Student reviews
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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
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"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "c644d5a08f921d634eeaa7bc52a837337253d3b5b53dcd23540766cc9c4b6a6b",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}