Fall 2026

Linear Algebra and Differential Equations

Introduces linear algebra and differential equations, emphasizing the relationship between theory and numerical solution techniques.

offering recorded3 credits

Summary

1 / 7

The course features a sharp difficulty curve and strict grading with no rounding. Workload consists of minimal homework, with three exams comprising almost the entire grade.

Grade history

average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

MATH 222 or graduate/professional standing. Not open to students with credit forMATH 319, 340, 341, 345, or 375.

MATH 320 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 4.59/5 from 22 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.

No course-specific feedback yet.

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 4.55/5 from 11 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.

No course-specific feedback yet.

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.20/5 from 5 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.

Scott Hiatt receives criticism for mediocre lectures using fill-in-the-blank worksheets. Reviewers describe him as a tough grader with strict cutoffs and minimal exam help, noting practice exams often differ from actual tests.

Conversely, other students praise Hiatt for being helpful and explaining concepts clearly. These reviewers appreciate his care for student understanding and the availability of previous exams that closely mirror actual tests.

Recent recorded grades — Fall 2025: 3.09 GPA, 44.9% A/AB (n=118 letter grades); Spring 2026: 3.11 GPA, 45.8% A/AB (n=240 letter grades).

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 1.00/5 from 2 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.

No course-specific feedback yet.

No course-specific feedback yet.

No course-specific feedback yet.

Historical instructors & teaching patterns

Historical reviews of Leslie Smith, Yang Yang: Leslie Smith is a knowledgeable lecturer who answers questions well, though her conceptual and theoretical approach may not suit all students. Yang Yang explains concepts clearly through examples, making the course manageable with attention and homework, despite lacking posted notes.

ADRIANA NENCIU is recorded teaching in Fall 2006. Recorded history may be incomplete and does not establish a future schedule.

BING WANG is recorded teaching in Fall 2012, Spring 2013. Recorded history may be incomplete and does not establish a future schedule.

JOSEPH MILLER is recorded teaching in Spring 2011. Recorded history may be incomplete and does not establish a future schedule.

LAURENTIU MAXIM is recorded teaching in Fall 2017. Recorded history may be incomplete and does not establish a future schedule.

LESLIE SMITH is recorded teaching in Spring 2008, Spring 2009, Fall 2009, Fall 2010, Fall 2011, Fall 2014, Spring 2016, Spring 2017, Spring 2020, Fall 2020, Fall 2021, Spring 2023, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.

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

SAVERIO SPAGNOLIE is recorded teaching in Fall 2015, Spring 2016, Fall 2016, Spring 2017. Recorded history may be incomplete and does not establish a future schedule.

SCOTT HIATT is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

SEAN ROSTAMI is recorded teaching in Spring 2014. Recorded history may be incomplete and does not establish a future schedule.

SIGURD ANGENENT is recorded teaching in Spring 2010, Spring 2011. Recorded history may be incomplete and does not establish a future schedule.

YANG YANG is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

YUCHEN LIAO is recorded teaching in Fall 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 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction92 / 960
LEC 002Classroom Instruction120 / 1201
DIS 302Classroom Instruction30 / 300
DIS 361Classroom Instruction30 / 321
DIS 362Classroom Instruction32 / 320
LEC 004Classroom Instruction121 / 1281
LEC 003Classroom Instruction117 / 1200
DIS 342Classroom Instruction31 / 320
DIS 343Classroom Instruction30 / 320
DIS 301Classroom Instruction30 / 300
DIS 303Classroom Instruction27 / 300
DIS 363Classroom Instruction32 / 320
DIS 371Classroom Instruction29 / 300
DIS 304Classroom Instruction30 / 300
DIS 344Classroom Instruction31 / 320
DIS 364Classroom Instruction27 / 320
DIS 372Classroom Instruction31 / 301
DIS 373Classroom Instruction30 / 300
DIS 374Classroom Instruction30 / 300
LEC 005Classroom Instruction236 / 2560
DIS 381Classroom Instruction31 / 320
DIS 382Classroom Instruction31 / 320
DIS 383Classroom Instruction30 / 320
DIS 384Classroom Instruction29 / 320
DIS 385Classroom Instruction29 / 320
DIS 386Classroom Instruction29 / 320
DIS 387Classroom Instruction29 / 320
DIS 388Classroom Instruction28 / 320

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

Meeting source records

Student experience

the class

Scott Hiatt’s MATH 320 reviews are polarized, with students describing him as either helpful and clear or boring and ineffective. Exams are the primary grade component, and preparation strategies vary significantly among reviewers.

Recent recorded grades — Spring 2025: 3.14 GPA, 46.6% A/AB (n=746 letter grades); Fall 2025: 3.07 GPA, 45.9% A/AB (n=610 letter grades); Spring 2026: 3.16 GPA, 50.3% A/AB (n=787 letter grades).

difficulty & workload

The course features a sharp difficulty curve and strict grading with no rounding. Workload consists of minimal homework, with three exams comprising almost the entire grade.

Students disagree on lecture value; some find them helpful for exam prep while others call them a waste of time. Reviewers note that practice exams may not match actual test content, and some suggest self-study via homework is more effective.

Topics

  • Linear algebra: linear systems, matrices, vector spaces, linear transformations, eigenvalues, and eigenvectors.
  • Differential equations: first order ODE, homogeneous/nonhomogeneous linear systems, and numerical methods.

Skills

  • Applying analytical and numerical techniques to solve differential equations.
  • Analyzing linear systems, matrix algebra, vector spaces, and linear transformations.

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.11 GPA average error.

Grades over time

Through Fall 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

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.

Selected offering source records
MATH 320 · Fall 2026

Linear Algebra and Differential Equations

Recorded 2026-09-07
Raw records
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  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:600:011646",
    "course_id": "MATH 320",
    "course_uid": "course_0002a781bc9543f3a2ac1a94",
    "term_id": "1272",
    "source_course_id": "011646",
    "source_subject_id": "600",
    "title": "Linear Algebra and Differential Equations",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
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": "630b2b3303e0ca127837165f4067df6d9d4c0e0a793bf509674e5f508e0d3338",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}