Principles of Risk Management
Principles of Risk Management covers the nature of risk, principal techniques of risk management including insurance markets, and bases for decision-making in managing risk effectively.
Summary
Past student reviews · James Swanke
A past student reported the course included one cumulative exam and one group project, describing the assessment load as very easy.
What you’ll be able to do
Recognize the general types and characteristics of situations involving risk, how to identify them, and why they are important
Explain risk preferences and how they impact risk management decisions
Apply the risk management process in a situation involving risk
Use statistical tools to value, summarize, and analyze risk
Differentiate the methods for managing risk: avoidance, risk control, retention, and transfer
Judge the effectiveness of a risk management technique for particular risk or portfolio of risks
Use statistical tools to demonstrate the benefits of risk pooling
Explain the value that sound risk management provides individuals,organizations and society
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing. Not open to students with credit forR M I 300
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- All of
- Graduate/professional standing
- Not eligible with
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
DANIEL KAISER is recorded teaching in Fall 2021. Recorded history may be incomplete and does not establish a future schedule.
JAMES SWANKE is recorded teaching in Fall 2022, Fall 2023, Fall 2024, Fall 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 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
Student experience
the class
Past student reviews · James Swanke
James Swanke was described as passionate and knowledgeable about enterprise risk management, using career experience to drive class discussion forward.
Recent recorded grades — Fall 2023: 3.70 GPA, 93.3% A/AB (n=15 letter grades); Fall 2024: 3.77 GPA, 100.0% A/AB (n=22 letter grades); Fall 2025: 3.84 GPA, 94.7% A/AB (n=19 letter grades).
difficulty & workload
Past student reviews · James Swanke
A past student reported the course included one cumulative exam and one group project, describing the assessment load as very easy.
Past student reviews · James Swanke
One student noted that while some lectures were a drag, the instructor cared about understanding the material and its career application.
Topics
- Nature of risk and decision-making in risk management.
- Insurance markets.
- Risk preferences and their impact on management decisions.
- Methods for managing risk: avoidance, risk control, retention, and transfer.
Skills
- Principal techniques of risk management, including insurance markets and decision-making bases.
- Applying the risk management process to situations involving risk.
- Differentiating risk management methods such as avoidance, risk control, retention, and transfer.
- Using statistical tools to demonstrate the benefits of risk pooling.
Grades
Latest available · Fall 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Fall 2025
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
No offering records for the selected term.
Raw records
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Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
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
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