This course covers some of the most basic and latest concepts, algorithms, theories, and implementations in numerical linear algebra. Students will learn and practice the subjects from the viewpoints of application, mathematics, and parallel computing.  

The course consists of the following four parts. 

• Part A. A 75-minute lecture on every Thursday (9:10-10:25) from 2017/9/14 to 2017/12/7. 
• Part B. A 75-minute hands-on session on every Thursday (10:35-11:50) from 2017/9/14 to 2017/12/7. 
• Part C. An online course that consists of twelve 75-minute lectures by Prof. Edmond Chow. This online course should be self-studied from 2017/9/14 to 2017/11/2. 
• Part D. Twelve 75-minute lectures (12:10-13:25) on selected days from 2017/12/18 to 2018/1/5. 

Prerequisites include Linear Algebra, Programming Language (e.g. MATLAB, C, C++, or CUDA), Introduction to Computational Mathematics, and Calculus.

Notification:

Bring your own laptop for class exercises.