Spring 2027

High Performance Computing for Applications in Engineering

Overview of hardware and software for advanced computing in engineering, focusing on parallel programming and emerging architectures.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 6

Past student reviews · Dan Negrut

Weekly programming assignments were described as a lot of work but doable. The class required significant effort, though students noted it was not impossible to do well in if they put in the work.

Grade history

↗
average GPA
letter grades
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All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
COMPSCI/ECE/EMA/EP/ME 759

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

DAN NEGRUT is recorded teaching in Fall 2013, Fall 2015, Fall 2017, Spring 2019, Spring 2020, Fall 2022, Fall 2023, Spring 2026. 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 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.

Meeting source records
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Student experience

the class

Past student reviews · Dan Negrut

Students found the course well-designed for exploring parallel computing, with lectures covering CPU and GPU topics. The material provided a strong foundation in technologies like CUDA and OpenMP.

Recent recorded grades — Fall 2024: 3.99 GPA, 100.0% A/AB (n=69 letter grades); Spring 2025: 3.98 GPA, 100.0% A/AB (n=112 letter grades); Spring 2026: 3.97 GPA, 100.0% A/AB (n=102 letter grades).

difficulty & workload

Past student reviews · Dan Negrut

Weekly programming assignments were described as a lot of work but doable. The class required significant effort, though students noted it was not impossible to do well in if they put in the work.

Past student reviews · Dan Negrut

Past students appreciated the engaging teaching style and the availability of lecture recordings. One reviewer specifically highlighted the final project as offering lots of room to explore parallel computing concepts.

Topics

  • Hardware and software solutions for computationally intensive engineering problems
  • Parallel computing programming languages
  • Emerging hardware architectures

Skills

  • Programming with parallel computing languages on emerging hardware architectures

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · 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

1280 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

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.

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Selected offering source records

No offering records for the selected term.

Raw records 
[]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Download part 1
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "204532ee603741c2971b51178bbaa0f7ba831bd697de12afd66b5a127e10856b",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}