CSC
521:
Monte Carlo Algorithms
A course about the use of random numbers for numerical computation with particular emphasis on implementation issues and applications in science and finance. Covered topics include: pseudo random number generators, the inversion method, the accept-reject method, discrete event simulations, multi-dimensional integration, the Metropolis and the Bootstrap algorithms.
(CSC 402 or CSC 404 or DSC 430) and DSC 423 or consent of instructor are prerequisites for this class.
Spring 2024-2025
-
Section:
901
-
Class number:
35161
-
Meeting time:
W
5:45PM
-
9:00PM
-
Location:
CDM 00222
at
Loop Campus
-
Instructor:
John McDonald
| View syllabus
Winter 2022-2023
-
Section:
801
-
Class number:
28300
-
Meeting time:
Tu
5:45PM
-
9:00PM
-
Location:
CDM 00222
at
Loop Campus
-
Instructor:
John McDonald
| View syllabus
Winter 2021-2022
-
Section:
801
-
Class number:
20306
-
Meeting time:
Tu
5:45PM
-
9:00PM
-
Location:
CDM 00222
at
Loop Campus
-
Instructor:
John McDonald
| View syllabus