Decision and risk analysis
Course #: MSIS 643
Description:
Decision and risk analysis combine elements of probability, economics, logic, psychology and domain knowledge to characterize and analyze complex decision problems. Practitioners in this discipline apply mathematical and computational decision support tools grounded and, methods for populating models. A large number of applied models are available for different real-world problems or problem classes. Students will gain familiarity with the basic theory and methods from classic and recent texts, and will examine some real world applications from recent journal publications. There will be particular focus on connections between the approaches covered and developments in information systems and in analytics. The course will involve portions of problem sets and projects.
Pre Requisites:
Offered in:
2025 Spring
| Section | Class Number | Schedule/Time | Instructor | Location | |
|---|---|---|---|---|---|
| 01 | 10699 | W 5:30 - 8:15 pm |
Keisler,Jeffrey | Wheatley W01-0060 | |
|
Session:
Regular
Class Dates:
01/27/2025 - 05/14/2025
Capacity:
20
Enrolled:
17
Status:
Open
Credits:
3/3
Class Notes:
Pre Requisites:
Course Attributes:
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