Fall 2026

Introduction to Probability and Mathematical Statistics I

Introduction to probability and mathematical statistics covering distributions, moments, and estimation.

offering recorded3 credits

Summary

1 / 7

The workload includes ten homeworks, one midterm, and one final, with exams described as easy if students engage with the provided materials.

Grade history

average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

MATH 234, 376, or concurrent enrollment. Not open to students with credit forSTAT/​MATH 431 or STAT 311

“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: 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).

Historical instructors & teaching patterns

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.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction21 / 632
LEC 002Classroom Instruction17 / 632
DIS 311Classroom Instruction9 / 140
DIS 312Classroom Instruction8 / 200
DIS 313Classroom Instruction4 / 202
DIS 322Classroom Instruction6 / 200
DIS 323Classroom Instruction6 / 202
DIS 321Classroom Instruction5 / 210
LEC 001Classroom Instruction51 / 724
DIS 311Classroom Instruction15 / 240
DIS 312Classroom Instruction16 / 240
DIS 313Classroom Instruction20 / 244
LEC 002Classroom Instruction55 / 724
DIS 322Classroom Instruction18 / 240
DIS 323Classroom Instruction18 / 244
DIS 321Classroom Instruction19 / 240

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

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

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 · 0.21 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

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/STAT 309 · Fall 2026

Introduction to Probability and Mathematical Statistics I

Recorded 2026-09-07
MATH/STAT 309 · Fall 2026

Introduction to Probability and Mathematical Statistics I

Recorded 2026-09-07
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Student reviews

Original comments behind the course and instructor summaries.

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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
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