Computational Methods in Probability
Overview
Description
This course is an introduction to the numerical techniques of Monte Carlo simulation and recursion in applications where randomness occurs. Topics include: random number generators; generating discrete and continuous random variables; simulating systems with randomness; variance reduction techniques; optimization via recursion. Applications will be drawn from finance, insurance, and various other business settings.
Career
Undergraduate
Credits
Value
4
Max
3
Min
3
Course Count
1
Number Of Credits
3
Number Of Repeats
1
Repeatable
No
Contact Use
Yes
Generate Attendance
No
Left Use
Yes
Present Use
Yes
Reason Use
Yes
Tardy Use
Yes
Template Override
No
Time Use
Yes
Attendance Type
Class Meeting
Auto Create
No
Code
LEC
Instructor Contact Hours
4
Default Section Size
35
Final Exam Type
Yes
Include in Dynamic Date Calc
No
Instruction Mode
In Person
LMS File Type
Blackboard CourseInfo 4
Name
Lecture
OEE Workload Hours
0
Optional Component
No
Preferred Room Features
Academic Scheduling
Workload Hours
4