Have you ever wondered how everyday devices, like smart home gadgets, can connect and share data so smoothly? This is made possible by the Internet of Things, or IoT, combined with signal processing. IoT helps devices gather and share data, while signal processing helps them interpret and use this data accurately and instantly. By learning in this course, you will develop core skills and gain practical experience in building IoT systems that address real-world challenges. These competencies will equip you to shape the future of connected technology and create a meaningful impact in everyday life.

What you will learn:
- Real world IoT and Signal Processing applications.
- Hand-on exercises on internet of things and signal processing.

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

Course type:
This is an elective course (E) 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 30% of the grade, and 3) Final Assignment, which accounts for 30% 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:
Dr. Jessada Karnjana
Currently, Dr. Jessada is a researcher at the National Electronics and Computer Technology Center (NECTEC). He has expertise in various fields including  Wireless communication, power-line communication, and telecommunication protocols, audio compression techniques and psychoacoustic models, audio/speech information hiding, evolutionary computation, contrast enhancement techniques and reasoning with uncertainty.

Dr. Jessada completed his Bachelor’s degree in Electronics Engineering, King Mongkut’s Institute of Technology Ladkrabang, Master’s degree in Microelectronics, Asian Institute of Technology and Ph.D. in Engineering and Technology, Sirindhorn International Institute of Technology, Thammasat University.

Dr. Surasak Boonkla
Currently, Dr. Surasak is a researcher at the National Electronics and Computer Technology Center (NECTEC). He has an expertise in various fields including embedded systems, machine learning, speech signal processing, speaker diarization, speaker voice and recognition/verification.

Dr. Surasak completed his Bachelor’s degree in Applied Physics, King Mongkut’s Institute of Technology Ladkrabang, Master’s degree in Information and Communication Technology for Embedded Systems (ICTES), Sirindhorn International Institute Technology, Thammasat University and Ph.D. in information science, Japan Advanced Institute of Science and Technology, Japan.