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Courses

If you are interested in doing research in the area of parallel and/or scientific computing the following is a list of recommended courses offered in our department.

  • CENG371 – Scientific Computing (*)
  • CENG478 – Introduction to Parallel Computing (*)
  • CENG493 – Special Topics in Comp. Eng: Cluster Computing (*)
  • CENG571 – Numerical Analysis I
  • CENG572 – Numerical Analysis II
  • CENG576 – Numerical Methods in Optimization
  • CENG577 – Parallel Computing
  • CENG780 – Sparse Matrix Computations

(*) Master’s students can also register to at most two undergraduate level courses as technical electives provided they have not taken those courses (or equivalent) during their undergraduate studies.