Computing Concepts for Applications in Engineering
ME 459 teaches computing concepts, including computer architecture and software development, to support engineering modeling and simulation.
Summary
Historical reviews of Dan Negrut: Homeworks require substantial self-teaching and represent a heavy workload, despite the material itself not being overly difficult.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapCOMP SCI 200, 220, 300, 301, 302, 320, or placement into COMP SCI 300, graduate/professional standing, or member of Engineering Guest Students
- COMPSCI 200
- COMPSCI 220
- COMPSCI 300
- COMPSCI 320
- 301
- 302
- placement into COMP SCI 300
- graduate/professional standing
- member of Engineering Guest Students
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- COMPSCI 200
- COMPSCI 220
- COMPSCI 300
- COMPSCI 320
- 301
- 302
- placement into COMP SCI 300
- graduate/professional standing
- member of Engineering Guest Students
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Historical reviews of Dan Negrut: Dan Negrut's ME 459 requires significant self-teaching and heavy homework effort, though the material itself is not overly difficult. Reviewers note that grading is fair and exams are reasonable, presenting a challenge that is manageable rather than impossible.
DAN NEGRUT is recorded teaching in Fall 2018, Fall 2019, Fall 2020, Fall 2021, Spring 2023. 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 |
|---|
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
Historical reviews of Dan Negrut: Dan Negrut's ME 459 offers fair grading and reasonable exams, though homework demands significant self-teaching outside of class.
Recent recorded grades — Fall 2020: 3.80 GPA, 90.0% A/AB (n=40 letter grades); Fall 2021: 3.86 GPA, 100.0% A/AB (n=33 letter grades); Spring 2023: 3.91 GPA, 98.2% A/AB (n=56 letter grades).
difficulty & workload
Historical reviews of Dan Negrut: Homeworks require substantial self-teaching and represent a heavy workload, despite the material itself not being overly difficult.
Historical reviews of Dan Negrut: Students find the grading fair and exams challenging but manageable, provided they invest time in independent study for the assignments.
Topics
Skills
Grades
Latest available · Spring 2023— not enough history to project Fall 2026.
Grade distribution · % of letter grades
Grades over time
Through Spring 2023
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Spring 2023 · 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
1188 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
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 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": "47275dd29eda61d0da12b3947398fafe2857e882d01629a35ea02a3c2e30a369",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}