MA371
Computational Methods for Data Analysis
0.5 Credit
Hours per week:
- Lecture/Discussion: 3
- Lab: 2 (biweekly)
The course covers computational techniques used in data analysis. All topics are illustrated with the use of R and/or Matlab. Topics may include some of the following: numerical linear algebra (solving linear systems, eigenvalue problem, factorization), methods of interpolation and curve-fitting, numerical optimization methods, statistical modelling (simulation of random variables and processes, introductory computational statistics).
