Spring 2027

Methods of Computational Mathematics I

Development of finite difference methods for hyperbolic, parabolic and elliptic partial differential equations. Analysis of accuracy and stability of difference schemes. Direct and iterative methods for solving linear systems. Introduction to finite volume methods. Applications from science and engineering. Students are strongly encouraged to have programming skills (e.g.COMP SCI 200) and some undergraduate numerical analysis (e.g.MATH/​COMP SCI  514orCOMP SCI 412), analysis and differential equations (e.g.MATH 322andMATH 521) and linear algebra (e.g.MATH 341).

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

Summary

1 / 6

Past student reviews · Nan Chen

The workload was not heavy, making the class manageable alongside other commitments.

Grade history

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

Prerequisites

Course map

Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program

  • Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program
COMPSCI/MATH 714

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

Prerequisite text tree
  • Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

CHRIS RYCROFT is recorded teaching in Fall 2023, Fall 2024. Recorded history may be incomplete and does not establish a future schedule.

JULIE MITCHELL is recorded teaching in Fall 2008. Recorded history may be incomplete and does not establish a future schedule.

NAN CHEN is recorded teaching in Fall 2018. Recorded history may be incomplete and does not establish a future schedule.

SAMUEL STECHMANN is recorded teaching in Spring 2012, Fall 2014, Fall 2019, Fall 2022. 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

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Meeting source records
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Student experience

the class

Past student reviews · Nan Chen

Nan Chen made hard concepts easy to understand, allowing students to enjoy lectures.

Recent recorded grades — Fall 2023: 3.79 GPA, 84.8% A/AB (n=33 letter grades); Fall 2024: 3.46 GPA, 67.9% A/AB (n=28 letter grades); Fall 2025: 3.50 GPA, 75.0% A/AB (n=28 letter grades).

difficulty & workload

Past student reviews · Nan Chen

The workload was not heavy, making the class manageable alongside other commitments.

Past student reviews · Chris Rycroft

One student found Chris Rycroft’s lectures repetitive, noting they mainly repeated slides and did not help lower-level students learn.

Grades

Latest available · Fall 2025— 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 Fall 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

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Raw records 
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-29

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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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": "f492ff68bce724c7b3cc15cc2fc220a8f8a63e1da32982faacf463099d108740",
  "requirements_status": "needs_review",
  "dataset_revision": "c9cd06eaa45f9ddf7e69faa38b89ff3d3dd995dd",
  "observed_at": "2026-10-29 21:30:40.248904+00:00"
}