Scientific Computing

1 Course Unit

This course will focus on numerical algorithms and scientific computing techniques that are practical and efficient for a number of canonical science and engineering applications. Built on top of classical theories in multi-variable calculus and linear algebra (as a prerequisite), the lectures in this course will strongly focus on explaining numerical methods for applying these mathematical theories to practical engineering problems. Students will be expected to implement solutions and software tools using MATLAB/C++, practice state-of-the-art parallel computing paradigms, and learn scientific visualization techniques using modern software packages. Prerequisites: MATH 2400; knowledge of C++, Python or MATLAB Fall or Spring Mutually Exclusive: CIS 4670 1 Course Unit