| Call Number | 11102 |
|---|---|
| Day & Time Location |
W 6:10pm-8:00pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Marcus Eich |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Students without a strong math background will require significant additional time and effort to achieve the learning objectives and work through the course assignments. This course builds a foundation in the mathematics and statistics of risk management. Students are empowered to understand the output of quantitative analysts and to do their own analytics. Concepts are presented in Excel and students will have the opportunity to practice those concepts in Excel, R or Python. This course is a required prerequisite for registering for the following courses: Financial Risk Management, Insurance Risk Management, ERM Modeling. |
| Web Site | Vergil |
| Department | Enterprise Risk Management |
| Enrollment | 6 students (40 max) as of 10:06AM Thursday, November 21, 2024 |
| Subject | Enterprise Risk Management |
| Number | PS5350 |
| Section | 001 |
| Division | School of Professional Studies |
| Open To | Professional Studies |
| Note | ON-CAMPUS. OPEN TO SPS ON 1/21. |
| Section key | 20251ERMC5350K001 |