Introduction to linear algebra and differential equations, emphasizing the connection between linear algebra theory and analytical/numerical techniques for solving differential equations.
The course involves very little homework, with three exams comprising almost the entire grade. One student noted a sharp difficulty curve early in the semester and strict grade cutoffs.
What you’ll be able to do
Recall and state the formal definitions, properties, and theorems associated to elementary linear algebra and ordinary differential equations (e.g. existence and uniqueness theorems for first-order ODEs, eigenvalues and eigenvectors, etc.).
Verify if a mathematical object has a given property used in elementary linear algebra and differential equations (e.g., that a matrix is invertible, that a set is a vector subspace, that a vector is an eigenvector, etc.).
Check the premises of theorems used in elementary linear algebra in order to apply their conclusions (e.g., that a given matrix has zero determinant and therefore cannot be inverted).
Resolve algebraic statements related to elementary linear algebra through appropriate computations and compute solutions to elementary systems of ordinary differential equations.
Express informal mathematical arguments in English using appropriate mathematical terminology and notation.
“Used by” includes alternatives; linked courses may
have other requirements. This is a best-effort interpretation; check the
catalog requirements above.
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.
Past student reviews · Scott Hiatt
Scott Hiatt taught MATH 320 with a steep difficulty curve and strict grade cutoffs that reviewers felt contradicted the syllabus, though he was helpful with questions. Assessments relied heavily on three exams for which practice materials were provided, but students disagreed on whether lectures and worksheets were effective or a waste of time compared to self-study.
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).
Raw average: 2.43/5 from 23
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 — Fall 2024: 3.10 GPA, 47.3% A/AB (n=91 letter grades).
Raw average: 2.43/5 from 116
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 2022: 3.15 GPA, 40.0% A/AB (n=20 letter grades); Spring 2023: 2.88 GPA, 37.5% A/AB (n=8 letter grades); Fall 2024: 3.00 GPA, 46.7% A/AB (n=15 letter grades).
Historical instructors & teaching patterns
Past student reviews · Leslie Smith, Yang Yang
Past students noted that Leslie Smith taught a conceptual, theoretical section where she was an amazing, knowledgeable lecturer keen to answer questions, though she advised that those uninterested in math should choose another professor. Yang Yang went through examples and explained concepts well, using a chalkboard with filled-in notes to follow, and students found the course not too hard if they paid attention in lecture and completed the homework.
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.
FABIAN WALEFFE is recorded teaching in Spring 2013, Spring 2020, Fall 2020, Spring 2022, Spring 2023, Fall 2024. 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.
SHIVA CHIDAMBARAM is recorded teaching in Fall 2024. 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
Spring 2027
Schedule loads here as you scroll.
Section
Mode
Enrolled / capacity
Waitlist
LEC 002
Classroom Instruction
0 / 207
0
DIS 301
Classroom Instruction
0 / 30
0
DIS 323
Classroom Instruction
0 / 30
0
DIS 321
Classroom Instruction
0 / 30
0
DIS 303
Classroom Instruction
0 / 30
0
DIS 302
Classroom Instruction
0 / 30
0
LEC 001
Classroom Instruction
0 / 223
0
DIS 304
Classroom Instruction
0 / 30
0
DIS 322
Classroom Instruction
0 / 30
0
DIS 324
Classroom Instruction
0 / 30
0
DIS 305
Classroom Instruction
0 / 30
0
DIS 325
Classroom Instruction
0 / 30
0
DIS 306
Classroom Instruction
0 / 30
0
DIS 326
Classroom Instruction
0 / 30
0
LEC 007
Classroom Instruction
0 / 24
0
DIS 392
Classroom Instruction
0 / 24
0
DIS 307
Classroom Instruction
0 / 30
0
DIS 327
Classroom Instruction
0 / 30
0
DIS 393
Classroom Instruction
0 / 24
0
LEC 004
Classroom Instruction
0 / 200
0
DIS 331
Classroom Instruction
0 / 30
0
DIS 332
Classroom Instruction
0 / 30
0
DIS 333
Classroom Instruction
0 / 30
0
DIS 334
Classroom Instruction
0 / 30
0
DIS 335
Classroom Instruction
0 / 30
0
DIS 336
Classroom Instruction
0 / 30
0
DIS 337
Classroom Instruction
0 / 30
0
DIS 351
Classroom Instruction
0 / 30
0
DIS 352
Classroom Instruction
0 / 30
0
DIS 353
Classroom Instruction
0 / 30
0
DIS 354
Classroom Instruction
0 / 30
0
DIS 355
Classroom Instruction
0 / 30
0
DIS 356
Classroom Instruction
0 / 30
0
DIS 357
Classroom Instruction
0 / 30
0
LEC 003
Classroom Instruction
0 / 200
0
Times are Central. Select a meeting for
details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Scott Hiatt teaches this 300-level math course with a focus on exams and minimal homework. Students found his explanations of concepts helpful, though some found the delivery style dry.
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
Past student reviews · Scott Hiatt
The course involves very little homework, with three exams comprising almost the entire grade. One student noted a sharp difficulty curve early in the semester and strict grade cutoffs.
Past student reviews · Scott Hiatt
Opinions on Scott Hiatt's lectures were mixed; some found them hard to follow or boring, while others appreciated his willingness to answer questions and walk through problems.
Topics
Linear systems, matrices, vector spaces, linear transformations, eigenvalues, and eigenvectors.
First-order ODEs, homogeneous and nonhomogeneous linear systems, and numerical methods.
Skills
Solving linear systems, manipulating matrices, analyzing vector spaces and linear transformations, and computing eigenvalues and eigenvectors.
Solving first-order ordinary differential equations and homogeneous or nonhomogeneous linear systems using analytical and numerical techniques.
Grades
Historical instructor
Spring 2027 · Projected
Before grades are released
2.622.62–3.633.63average GPA
Approximate 80% prediction interval
0.04.0
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 · 0.18 GPA average error.
Grades over time
Through Spring 2027
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Spring 2026 · all course levels
3.163.16GPA
Higher than 1010% of other courses in this group.
Course GPAs · red marks this course’s range
787787letter grades
More recorded grades than 9999% of other courses in this group.
Typical course in this group: 66.066.0 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.