Dynamic Systems covers mathematical modeling and analysis of dynamic systems with mechanical, thermal, and fluid elements, including time/frequency domain solutions and linearization.
One student rated the course difficulty as low, noting that Prof. Berson was very helpful and made significant efforts to assist students during office hours.
What you’ll be able to do
Develop linear differential equations for mechanical, electrical, fluid, and thermal systems
Solve linear differential equations using Laplace transform methods and numerical techniques
Derive transfer functions and evaluate the system output response for impulse, step, and ramp input
Create frequency response diagrams for various first and second-order transfer functions
Calculate steady-state error and PID characteristics for simple feedback control systems
“Used by” includes alternatives; linked courses may
have other requirements. This is a best-effort interpretation; check the
catalog requirements above.
Raw average: 4.36/5 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.
For this course: 5.0/5 raw quality · 2.5/5 difficulty · 2
reviews
RMP profile ↗ · All captured review dates; profile matched by name.
Past student reviews · Arganthael Berson
Arganthael Berson taught this course clearly and concisely, avoiding slide-heavy lectures in favor of providing fill-in-the-blank note sheets. He incorporated real-life examples to gauge class understanding and demonstrated strong subject knowledge.
Students found Arghanthael Berson helpful during office hours and knowledgeable, though one reviewer noted that he used sharpies for class notes.
Recent recorded grades — Spring 2026: 2.73 GPA, 26.0% A/AB (n=131 letter grades).
Historical instructors & teaching patterns
Past student reviews · Melih Eriten
Past students described Melih Eriten as a good lecturer who was an easy grader and helpful, though one later student found his lectures unengaging and boring. Eriten gave fair tests and decent quizzes. These reviews highlight a mixed experience regarding engagement and grading style.
ARGANTHAEL BERSON is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
BENJAMIN PEHERSTORFER is recorded teaching in Fall 2016, Spring 2017, Fall 2017, Spring 2018. Recorded history may be incomplete and does not establish a future schedule.
DAN NEGRUT is recorded teaching in Fall 2006, Spring 2007, Fall 2007. Recorded history may be incomplete and does not establish a future schedule.
DARRYL THELEN is recorded teaching in Fall 2006, Spring 2007, Spring 2009, Spring 2012, Spring 2014, Fall 2014, Fall 2015, Spring 2016, Fall 2016. Recorded history may be incomplete and does not establish a future schedule.
JOHN MOSKWA is recorded teaching in Fall 2007, Fall 2008, Spring 2010, Fall 2010, Spring 2011, Fall 2011, Spring 2012. Recorded history may be incomplete and does not establish a future schedule.
MELIH ERITEN is recorded teaching in Spring 2013, Fall 2013, Fall 2018, Spring 2019, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.
MICHAEL ZINN is recorded teaching in Fall 2008, Fall 2009, Fall 2010, Spring 2011, Fall 2011, Spring 2017, Fall 2017. Recorded history may be incomplete and does not establish a future schedule.
NEIL DUFFIE is recorded teaching in Fall 2007, Spring 2008, Spring 2009, Spring 2010, Fall 2012. Recorded history may be incomplete and does not establish a future schedule.
XIANGRU XU is recorded teaching in Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.
XIAOBIN XIONG is recorded teaching in Fall 2023, 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
Spring 2027
Schedule loads here as you scroll.
Section
Mode
Enrolled / capacity
Waitlist
LEC 001
Classroom Instruction
0 / 131
0
DIS 301
Classroom Instruction
0 / 23
0
DIS 302
Classroom Instruction
0 / 23
0
DIS 303
Classroom Instruction
0 / 23
0
DIS 304
Classroom Instruction
0 / 23
0
DIS 306
Classroom Instruction
0 / 0
0
DIS 305
Classroom Instruction
0 / 23
0
Times are Central. Select a meeting for
details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Prof. Berson delivered clear, concise lectures with real-life examples and custom fill-in-the-blank note sheets, avoiding a slide-clicking approach.
Recent recorded grades — Spring 2025: 3.21 GPA, 51.2% A/AB (n=129 letter grades); Fall 2025: 3.26 GPA, 61.4% A/AB (n=158 letter grades); Spring 2026: 2.73 GPA, 26.0% A/AB (n=131 letter grades).
difficulty & workload
Past student reviews · Arganthael Berson
One student rated the course difficulty as low, noting that Prof. Berson was very helpful and made significant efforts to assist students during office hours.
Past student reviews · Arganthael Berson
Students found the professor to be knowledgeable and caring, with one describing him as one of the best professors they had encountered in their college career.
Topics
Time domain solutions, analog computer simulation, linearization, block diagrams, numerical methods, frequency domain solutions
Steady-state error and PID characteristics for feedback control systems
Skills
Developing linear differential equations for multi-domain systems
Solving differential equations via Laplace transforms and numerical methods
Deriving transfer functions and evaluating time-domain responses
Creating frequency response diagrams
Calculating steady-state error and PID characteristics
Grades
Historical instructor
Spring 2027 · Projected
Before grades are released
2.582.58–3.543.54average 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 · 0.24 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
2.732.73GPA
Higher than 11% of other courses in this group.
Course GPAs · red marks this course’s range
131131letter grades
More recorded grades than 7777% 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.