Artificial intelligence has the power to transform businesses and drive innovation in many areas. But the big question is: how do we know what to prioritize to meet business needs and make the right impact?
This is where research comes in. It helps us analyze what’s important for staying competitive, while giving us a clearer picture of the market. With these insights, businesses can make smarter decisions, create innovative solutions, and meet customer demands more effectively. That’s why learning to plan research, gather and analyze data, interpret results, and draw meaningful conclusions is essential. These skills empower businesses to leverage data for sustainable growth in today’s highly competitive environment.

What you will learn:
- Concept of Scientific and Technical Research and Formulating a Research Problem
- Literature Review Techniques
- Research Design
- Data Collection and Conducting Research 
- Analyzing and Interpreting Results

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 50% of the grade, 2) Final Exam, which accounts for 50% 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. Nirattaya Khamsemanan
Currently, Dr. Nirattaya holds a teaching position at the School of Information, Computer, and Communication Technology (ICT), Sirindhorn International Institute of Technology, Thammasat University. She has academic expertise in various fields including Algebraic topology, Cryptography, Intelligent User Interface (IUI), and Machine learning.

Dr. Nirattaya completed her Bachelor’s degree in Mathematics (cum laude), Cornell University, USA, Master’s degree in Mathematics, University of California, Los Angeles (UCLA), USA, and Ph.D. in Mathematics, University of California, Los Angeles (UCLA), USA.