Numerical Analysis

For the 2nd-year or 3rd-year undergraduate students. On the basic numerical computation priciples and algorithms, emphasizing the implementation of and comparison among algorithms.

 

Advanced Numerical Algorithms and Applications

For graduate student. It extends the Numerical Analysis course for undergraduate students. Main contents include the big-six matrix decompositions, convex optimization and stochastic algorithms, along with their applications. The assignments in this course involve coding with Matlab.

 

Introduction to High Performance Computing

For the 2nd-year undergraduate students. On the basic concepts, principles and methods in the area of high-performance computing, along with how to write parallel programs with MPI/Pthreads/OpenMP. Based on an English textbook, but taught in Chinese.