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).

Additional Course Information
CP104 or MA207;, MA200 or both MA104 and MA201; ST230 or ST260.
CP315, MA307, PC315.