COURSE DETAIL
This course introduces biological sequence analysis methods. The course provides familiarity with the vast amounts of biomedical and genomic data and online tools. The first part of the course explores basic algorithmic strategies, sequence alignment, chaining algorithms, and genomics. If time allows, Hidden Markov models (the Viterbi algorithm) are discussed. The second part covers sequence assembly, max-sum/max-density segments, data analysis, and more techniques used in genomics analysis.
COURSE DETAIL
This course is an intensive introduction to programming in Java that assumes no prior programming experience. It explores all aspects of modern programming by means of lectures and hands-on practical lab sessions. The course starts with the basics of computer science and computer programming. After a short introduction to computer organization, the principles of structured programming in Java are presented. The main topics covered are data types and variables, methods, conditional statements, loops, and recursion. Finally, the course introduces the object-oriented features of Java and their usage for program design. All these concepts have to be understood both from their theoretical perspective and their practical applications.
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
The course applies AI techniques to the problems of making devices capable of interacting with the physical world. This includes moving around in the world (mobile robotics), moving things in the world (manipulation robotics), acquiring information by direct sensing of the world (e.g. machine vision) and, importantly, closing the loop by using sensing to control movement.
COURSE DETAIL
COURSE DETAIL
This course examines computer programming using the Python programming language. The course covers simple variables, expressions, input and output, control structures, functions, using standard data structures such as lists and dictionaries, and using standard Python modules.
COURSE DETAIL
This course is designed for students wishing to clarify and advance their career goals through an 8-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 School of Global Studies at Thammasat University. An assigned internship coordinator provides oversight and guidance for the duration of the internship. The course requires a minimum of 288 total work hours.
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