“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Raw average: 5.00/5 from 6 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.
Rishabh Dudeja is consistently praised for clear, well-structured lectures and deep subject knowledge. Reviewers highlight his patience, professionalism, and approachability in office hours. Some note a focus on proofs over applications, but overall he is highly recommended for his teaching quality.
Recent recorded grades — Fall 2023: 3.41 GPA, 68.4% A/AB (n=38 letter grades); Fall 2024: 3.13 GPA, 45.6% A/AB (n=68 letter grades); Fall 2025: 3.42 GPA, 69.0% A/AB (n=71 letter grades).
Bret Larget is described as a good professor with fair exams and grading, though homework is irrelevant to tests. He offered retests for unfair exams. This historical review highlights his supportive approach to assessment.
ANRU ZHANG is recorded teaching in Fall 2015, Fall 2016, Spring 2017, Spring 2018, Fall 2018, Spring 2019. Recorded history may be incomplete and does not establish a future schedule.
BRET LARGET is recorded teaching in Fall 2008, Fall 2009. Recorded history may be incomplete and does not establish a future schedule.
GARVESH RASKUTTI is recorded teaching in Fall 2013, Spring 2014, Fall 2014, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2024. Recorded history may be incomplete and does not establish a future schedule.
KRISHNAKUMAR BALASUBRAMANIAN is recorded teaching in Spring 2015, Spring 2016. Recorded history may be incomplete and does not establish a future schedule.
MATTHEW BLOSS is recorded teaching in Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
NIMAL WICKREMASINGHE is recorded teaching in Spring 2023. Recorded history may be incomplete and does not establish a future schedule.
PANDUAN AN is recorded teaching in Fall 2019, Spring 2020, Fall 2020, Fall 2022, Spring 2024, Fall 2024, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
RISHABH DUDEJA is recorded teaching in Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.
YAZHEN WANG is recorded teaching in Fall 2010, Fall 2011, Fall 2012. 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.
Section
Mode
Enrolled / capacity
Waitlist
LEC 001
Classroom Instruction
21 / 63
2
LEC 002
Classroom Instruction
17 / 63
2
DIS 311
Classroom Instruction
9 / 14
0
DIS 312
Classroom Instruction
8 / 20
0
DIS 313
Classroom Instruction
4 / 20
2
DIS 322
Classroom Instruction
6 / 20
0
DIS 323
Classroom Instruction
6 / 20
2
DIS 321
Classroom Instruction
5 / 21
0
LEC 001
Classroom Instruction
51 / 72
4
DIS 311
Classroom Instruction
15 / 24
0
DIS 312
Classroom Instruction
16 / 24
0
DIS 313
Classroom Instruction
20 / 24
4
LEC 002
Classroom Instruction
55 / 72
4
DIS 322
Classroom Instruction
18 / 24
0
DIS 323
Classroom Instruction
18 / 24
4
DIS 321
Classroom Instruction
19 / 24
0
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Rishabh Dudeja is highly recommended for his professional, clear, and well-structured lectures in probability and statistics.
Recent recorded grades — Spring 2025: 3.45 GPA, 59.4% A/AB (n=69 letter grades); Fall 2025: 3.33 GPA, 64.2% A/AB (n=137 letter grades); Spring 2026: 2.98 GPA, 47.5% A/AB (n=120 letter grades).
difficulty & workload
The workload includes ten homeworks, one midterm, and one final, with exams described as easy if students engage with the provided materials.
Students find the professor easy to understand and knowledgeable, though some criticize the heavy focus on proofs over practical applications.
Topics
Probability and combinatorial methods
Discrete and continuous distributions
Expected values and moments
Normal distribution and derived distributions
Estimation
Skills
Probability and combinatorial methods
Analyzing discrete and continuous distributions
Calculating expected values and moments
Understanding normal and derived distributions
Statistical estimation
Grades
Historical instructor
Fall 2026 · Projected
Before grades are released
2.582.58–4.004.00average 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 · 0.21 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
2.982.98GPA
Higher than 44% of other courses
in this group.
Course GPAs · red marks this course’s range
120120letter grades
More recorded grades than 7575% of other courses in this group.
Typical course in this group: 66.066.0 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.