Computer Science

A mobile robot is a machine controlled by software that uses sensors and other technology to identify its surroundings and move around its environment. This course provides a general understanding of mobile robotics and related concepts, covering topics such as sensing, computer vision (i.e., visual perception), state estimation (e.g., localization and mapping), and motion planning. The emphasis is on algorithms, probabilistic reasoning, optimization, inference mechanisms, and behavior strategies, as opposed to electromechanical systems design. Practically useful tools and simulators for developing real robotic systems are also covered in this course. 

The course provides an introduction to e-health by introducing basic concepts and describe how added value can be created in health care processes by the use of e-health systems. The course also provides knowledge about process analysis and information security in health care as well as an overview of current e-health research.

Ethical hacking tests the vulnerabilities of an organization's network. It is more than using IT, but involves an understanding of the psychological and sociological frameworks within which uses that network functions. This explores the basics of hacking and Open Source Intelligence gathering techniques, and teaches students how to use these skills practically and within legal boundaries of the European Union. Both theoretical and practical aspects of (ethical) hacking are covered with an emphasis on follow-through.

This course is designed for students wishing to clarify and advance their career goals through a 16-week internship in Thailand. It provides a structured learning environment to help students make the most of their internship experience. While there are no regularly scheduled class meetings, internships are conducted under the close academic supervision of the Social Policy & Development department at Thammasat University. An assigned internship coordinator provides oversight and guidance for the duration of the internship. The course requires a minimum of 128 total work hours. To facilitate the completion of the internship and maximize skill acquisition, students are required to work at least one full day per week at their internships. Graded Pass/No pass only.

This course introduces python programming, software engineering and design techniques to engineering students. It also introduces the use of libraries like SciPy, NumPy and Matplotlib for solving equations (using appropriate numerical methods) and the use of JuPyter Lab notebooks to present calculations.