Recent recorded grades — Spring 2017: 3.65 GPA, 76.9% A/AB (n=26 letter grades); Spring 2019: 3.34 GPA, 47.4% A/AB (n=19 letter grades); Spring 2026: 3.72 GPA, 88.9% A/AB (n=9 letter grades).
Monte Carlo Radiation Transport
Covers Monte Carlo techniques for nuclear engineering and medical physics, focusing on neutral particle transport theory and software-based analysis of real-world problems.
Summary
Recent recorded grades — Spring 2024: 3.56 GPA, 66.7% A/AB (n=9 letter grades); Spring 2025: 3.69 GPA, 87.5% A/AB (n=8 letter grades); Spring 2026: 3.72 GPA, 88.9% A/AB (n=9 letter grades).
What you’ll be able to do
Use an industry-relevant software package to perform Monte Carlo radiation transport simulations for analysis of fixed source and/or multiplying systems
Explain how random processes are used to simulate a single particle transport history through an engineering system, including source, streaming and collisions
Explain how the paths of many particle transport histories are combined to provide estimates of engineering results
Analyze the statistical performance of a simulation and suggest ways to improve that performance
Apply Monte Carlo radiation transport to a problem related to your research
Source: UW Guide 1· UW Guide 2
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapN E 305 and (N E 405,N E 408,PHYSICS/B M E/H ONCOL/MED PHYS 501 or N E/MED PHYS 569) or graduate/professional standing
- take all
- graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- graduate/professional standing
Professors
Spring 2027Historical instructors & teaching patterns
PAUL WILSON is recorded teaching in Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2019, Spring 2026. 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 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 20 | 0 |
| LEC 001 | Classroom Instruction | 0 / 20 | 0 |
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
Recent recorded grades — Spring 2024: 3.56 GPA, 66.7% A/AB (n=9 letter grades); Spring 2025: 3.69 GPA, 87.5% A/AB (n=8 letter grades); Spring 2026: 3.72 GPA, 88.9% A/AB (n=9 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Theory of Monte Carlo neutral particle transport
- Applications in nuclear engineering and medical physics
- Combining particle transport histories for engineering estimates
Skills
- Perform Monte Carlo radiation transport simulations using industry-relevant software packages
- Explain the use of random processes to simulate single particle transport histories
- Analyze statistical performance of simulations and suggest improvements
- Apply Monte Carlo radiation transport to research-related problems
Grades
Latest available · Spring 2026— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2026
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
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
Monte Carlo Radiation Transport
Recorded 2026-10-14Monte Carlo Radiation Transport
Recorded 2026-10-14Raw records
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]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
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Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
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