Scientific Computing Concentration

  1. To give students a thorough knowledge of numerical methods, numerical analysis, and modelling for practical computing in a broad range of disciplines and applications; and
  2. To provide students rigorous research and analytical skills to evaluate research techniques, methodologies, and to interpret results in their own field and research.


Concentration Elective Courses  21 units
  MATH3407 Advanced Linear Algebra 3 units
  MATH3415 Vector Calculus 3 units
  MATH3416 Complex Analysis 3 units
  MATH3427 Real Analysis 3 units
  MATH3605 Numerical Methods II 3 units
  MATH3606 Partial Differential Equations 3 units
  MATH3615 Introduction to Imaging Science 3 units
  MATH3616 Numerical Methods for Differential Equations 3 units
  MATH3625 Iterative Methods 3 units
  MATH3626 Computational Statistics for Data Science 3 units
  MATH4606 Functional Analysis 3 units
  MATH4615 Introduction to Numerical Linear Algebra 3 units
  MATH4815 Interior Point Methods for Convex Optimization 3 units
  MATH4816 Optimization Theory and Techniques 3 units
  MATH4817 Stochastic Models 3 units
  MATH4665 Special Topics in Applied Mathematics I 3 units
  MATH4666 Special Topics in Applied Mathematics II 3 units
  MATH4667 Special Topics in Applied Mathematics III 3 units
    21 units


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