Spring 2027

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.

offering recorded3 credits
Recorded instructors · Spring 2027 Paul Wilson

Summary

1 / 3

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

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average GPA
letter grades
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AB
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All recorded terms · compare terms & instructors

Prerequisites

Course map

N 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

MEDPHYS/NE 506

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027

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).

Historical 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 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 200
LEC 001Classroom Instruction0 / 200

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.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

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

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
MEDPHYS/NE 506 · Spring 2027

Monte Carlo Radiation Transport

Recorded 2026-10-14
MEDPHYS/NE 506 · Spring 2027

Monte Carlo Radiation Transport

Recorded 2026-10-14
Raw records
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Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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