Description: Hours: Three hours lecture per week
Prerequisites: Admission to the Computer Science or Mathematics Graduate Program
The course provides a sound grounding in the mathematical, statistical and financial concepts needed for actuarial work, including technical and communication skills. Topics include: probability, statistics, data analysis, mathematical modeling, risk analysis, pension plans, financial economics, and time series. Various software packages are used.
Units: 3.00
Grading: Letter Grade
| Session | Section | Class # | Type | Days | Time | Location | Instructor | Course Details [Key] |
|---|---|---|---|---|---|---|---|---|
| E1 | 1 | 2610 | LEC | ARR | Online | Andrew Reynolds |
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Key for Course Detail Icons
| = Course Open |
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 = General Education |
= Extended University |
 = Service Learning |
 = In Person |
= Asynchronous Online |
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 = Blended |
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