รายละเอียด
In this course, you will learn the basics of applied statistics and its applications with computers and intelligent systems, which will provide you with a solid foundation for applying this knowledge in future research and technology development.
In the digital age where technology and data are central, statistics and probability are important tools for analyzing and predicting various trends. Whether it's assessing business risks, developing algorithms in AI, or understanding consumer behavior, knowledge in this area will help us see the big picture and make rational decisions. This knowledge not only enhances the ability to analyze and solve problems but also helps develop innovations that meet demands and create a competitive advantage in an era of rapid change.
What you will learn:
- Counting
- Combinatorics
- Probability
- Random Variables & Distributions
- Statistics & Inferences
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:
Asst. Prof. Dr. Akkaranan Pongsathornwiwat
Currently, Dr. Akkaranan is the director of the Master’s Degree Program in Smart Logistics & Supply Chain Management, Graduate School of Applied Statistics, National Institute of Development Administration (NIDA). He has academic expertise in various fields including Multi-attribute decision making and its applications, information fusion, Intelligent monitoring and advanced manufacturing, supply chain management, innovation process, and knowledge management.
Dr. Akkaranan completed his Bachelor’s degree in Engineering in Petrochemicals and Polymer Materials, Silpakorn University, Master’s degree in Industrial Engineering, Chulalongkorn University, Ph.D. in Knowledge Science, Japan Advanced Institute of Science and Technology, Japan, and Ph.D. in Engineering and Technology, Sirindhorn International Institute of Technology, Thammasat University.
เนื้อหา
ผู้สอน
Asst. Prof. Dr. Akkaranan Pongsathornwiwat
ไปที่หน้าผู้สอนมหาวิทยาลัยธรรมศาสตร์
ไปที่หน้าผู้สอนSirindhorn International Institute of Technology
ไปที่หน้าผู้สอน