MA 371

Comp Methods for Data Analysis

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). Prerequisites: CP104 or MA207; MA200 or both MA104 and MA201; ST230 or ST260. Exclusion: MA307 and CP315/PC315. 3 lecture hours; 2 lab hours every other week