Fall 2026

Analysis of Partial Differential Equations

Rigorous introduction to the theoretical underpinnings and methods of modern PDE theory.

offering recorded3 credits
Recorded instructors · Fall 2026 Mihaela Ifrim2.9/5

Summary

1 / 6

Historical reviews of Hung Tran: Reviewers report that the homework load is too high and the problems are super hard, requiring significant time investment.

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

(MATH 322, 421, or 521) and (MATH 319, 320, 376, 415, or 519) or graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program

MATH 619

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

Prerequisite text tree

Professors

Fall 2026

Mihaela Ifrim

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 2.39/5 from 33 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

Recent recorded grades — Spring 2019: 3.66 GPA, 84.4% A/AB (n=32 letter grades).

Historical instructors & teaching patterns

Hung Tran is a historical instructor for MATH 619. Reviewers describe his course as having excessive and very difficult homework assignments. He is noted for strict grading, deducting significant points for minor exam errors.

HUNG TRAN is recorded teaching in Spring 2018, Spring 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

MIHAELA IFRIM is recorded teaching in Spring 2019. 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 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction35 / 400

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

Meeting source records
Download part 1

Student experience

the class

Historical reviews for Hung Tran describe a course with excessive and difficult homework, along with strict grading that penalizes small errors.

Recent recorded grades — Spring 2024: 3.35 GPA, 65.4% A/AB (n=26 letter grades); Fall 2024: 3.69 GPA, 76.2% A/AB (n=21 letter grades); Fall 2025: 3.76 GPA, 79.5% A/AB (n=39 letter grades).

difficulty & workload

Historical reviews of Hung Tran: Reviewers report that the homework load is too high and the problems are super hard, requiring significant time investment.

Historical reviews of Hung Tran: Students found the grading harsh, with point deductions for minor mistakes, making the experience suitable only for those who enjoy difficult problem-solving.

Topics

  • Theoretical underpinnings of PDE methods
  • Methods of solution for PDEs
  • Physical phenomena modeled by PDEs

Skills

  • Solving basic types of PDEs
  • Understanding PDE solution techniques
  • Connecting PDEs to physical phenomena

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

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

Where this course fits relative to

Latest available grades · Fall 2025 · 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

1320 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.

Download part 1
Selected offering source records
MATH 619 · Fall 2026

Analysis of Partial Differential Equations

Recorded 2026-09-07
Raw records 
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:600:024053",
    "course_id": "MATH 619",
    "course_uid": "course_225e4c9e92f2538c1ae5e8bf",
    "term_id": "1272",
    "source_course_id": "024053",
    "source_subject_id": "600",
    "title": "Analysis of Partial Differential Equations",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Every Other Spring"
  }
]
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 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "d91ab5481dc2523dbeab30b290dc8a1455edb50ff63e3e42ce3a59ebb22c8057",
  "requirements_status": "needs_review",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}