Is it true that the rise of artificial intelligence technology or AI will reduce human employment to the point where no job might be eventually replaced by AI?
In reality, many studies show that while some jobs may be replaced by AI, many new jobs will also emerge. So, what we or organizations can do now in order to adapt, prepare, and maximize the benefit of this AI technology. To prepare you to understand how AI works, learning computational mathematics Linear Algebra is very important. This will help you and your organization to develop and respond to the changes that will occur in the future.

What you will learn:
- Introduction to Linear Algebra
- Vector Spaces, Subspaces, Span, and Basis
- Linear Mapping and Transformation Matrices
- Linear Systems and Their Solutions
- Iterative Methods for Solving Linear Systems
- Matrix Eigenvalues and Eigenvectors
- Block Matrices and Tensor Products
- Computational Software for Linear Algebra

Prerequisites:
- This course is designed for everyone. No prior knowledge is required.

Course type:
This is a core course (C) in the Master of Engineering program in Artificial Intelligence and Internet of Things (International Program) offered by Thammasat University and SkillLane.

Grading Criteria:
This course consists of 1) Quizzes, which account for 40% of the grade, 2) Final Exam, which accounts for 60% of the grade, Grades will be assigned based on the following scheme:

A 90-100
A- 85-89.99
B+ 80-84.99
B 75-79.99
B- 70-74.99
C+ 65-69.99
C 60-64.99
D 50-59.99
F 0-49.99

Instructor Background:
Assoc. Prof. Dr. Chalie Charoenlarpnopparut
Currently, Dr. Chalie holds a teaching position at the School of Information, Computer, and Communication Technology (ICT), Sirindhorn International Institute of Technology, Thammasat University. He has academic expertise in various fields including Digital Signal Processing, Wireless Communication, Multidimensional Signal Processing, Embedded Systems, Smart Grid Systems, and Instructional Design.

Dr. Chalie completed his Bachelor’s degree in Electrical Engineering, Chulalongkorn University, Master’s degree in Electrical Engineering, Pennsylvania State University, USA, and Ph.D. in Electrical Engineering, Pennsylvania State University, USA.