Computer Science

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.

This course provides a study of artificial intelligence and the application of AI tools and techniques to solve real-world problems. Topics include: knowledge representation techniques; types of searches (blind, heuristic); reasoning under uncertainty (Bayesian inference, Bayesian Networks, Markov Models, fuzzy logic); applied artificial intelligence.

The course examines the process of creating, assessing, and pursuing product opportunities, with emphasis on evaluating future markets shaped by new technologies. The focus is on technology innovation coupled with business planning and development. Other topics include factors that drive continuous creative product innovation, evaluation of new product ideas and risk assessment of commercialization, product development strategies in industrial marketing, understanding the behavior of the buyer and formulation and implementation of an innovative marketing strategy and business plan. This course combines mentor-guided team projects, case studies, and research on the entrepreneurial process. Text: Osterwalder and Pigneur, BUSINESS MODEL GENERATION: A HANDBOOK FOR VISIONARIES, GAME CHANGERS, AND CHALLENGERS. Assessment: exam I (25%), exam II (25%), assignments (10%), class activities (5%), class attendance and participation (5%), term project and presentation (30%).

This course covers the basic technical aspects of dynamic website construction concerning the front end (client) and the back end (server). It develops a springboard for web-related technologies that require data collection, organization and maintenance of accessible websites, through semantic layouts and with an introduction to object orientated coding practices. It focuses on developing skills in using HTML, CSS, jQuery, with PHP and SQL, and covers aspects of data flow and web data management.