Numerical Linear Algebra
Numerical Linear Algebra covers direct and iterative methods for solving linear and nonlinear systems, eigenproblems, and least squares, analyzing complexity and stability.
Summary
Historical reviews of Amos Ron: Biweekly homework assignments are extensive and time-consuming, requiring significant effort to achieve high grades, while exams are generally considered difficult.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course map(MATH 320, 340, 341, 345, or 375) and (COMP SCI 200, 220, 300, 310, or placement into COMP SCI 300), graduate/professional standing, or declared in Mathematics VISP (undergraduate or graduate)
- take one
- COMPSCI 200
- COMPSCI 220
- COMPSCI 300
- COMPSCI 310
- placement into COMP SCI 300
- graduate/professional standing
- declared in Mathematics VISP (undergraduate or graduate)
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- Any of
- Any of
- COMPSCI 200
- COMPSCI 220
- COMPSCI 300
- COMPSCI 310
- placement into COMP SCI 300
- graduate/professional standing
- declared in Mathematics VISP (undergraduate or graduate)
- All of
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Historical reviews of Amos Ron: Amos Ron teaches COMPSCI/MATH 513 with a polarizing style that reviewers describe as either brilliant and humorous or rambling and difficult to follow. While many praise his intuitive explanations and engaging personality, others criticize his lack of clarity and eccentric teaching methods.
AMOS RON is recorded teaching in Spring 2007, Spring 2009, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2023, Spring 2024, 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
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 Amos Ron: Amos Ron is praised for his humor and ability to explain difficult algorithms intuitively, with students reporting significant learning gains and enjoyment of his engaging teaching style.
Recent recorded grades — Spring 2024: 3.24 GPA, 57.1% A/AB (n=35 letter grades); Spring 2025: 3.15 GPA, 50.0% A/AB (n=46 letter grades); Spring 2026: 3.04 GPA, 58.7% A/AB (n=63 letter grades).
difficulty & workload
Historical reviews of Amos Ron: Biweekly homework assignments are extensive and time-consuming, requiring significant effort to achieve high grades, while exams are generally considered difficult.
Historical reviews of Amos Ron: Students report mixed experiences with clarity, as some find lectures hard to follow due to rambling or lack of examples, while others appreciate the intuitive explanations and helpful slides.
Topics
Skills
Grades
Latest available · Spring 2026— not enough history to project Fall 2026.
Grade distribution · % of letter grades
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
1283 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": "5c929fd54c3dfa5febc97b8349841557f5862c98b1c7737b0eb99ca99b982d97",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}