We cannot deny that the data flows through us every day, from when we wake up in the morning until we go to bed and from birth until we die. Those massive data become more complicated in patterns and formats, even in a single student’s thesis. Molecular biology and omics technologies have been dramatically improved in the last two decades. Consequently, a massive of data was generated from laboratories around the world. Data management, analysis, and sharing became severe problems for almost all biologists, including bioinformaticians and computational biologists. If we do not have a good way to store that can facilitate the downstream analysis, it affects the speed and accuracy of the analysis results. Therefore, this course was designed for Master's students in the medical bioinformatics program, biomedicine, and other bioscience programs to easily work with massive amounts of data. The course mainly focuses on the broad concepts of databases, including database design, programming, data retrieving, and analysis. Although the depth of knowledge from this course is at the intermediate level, students should be able to continue to acquire knowledge in the future.
I took over this course in 2003 and rearranged the course to emphasize database design and construction for bioinformatic students and other non-computer science students who plan to use databases to manipulate their data. The course is run by the master’s degree program in Medical Bioinformatics (International Program) of the Faculty of Medicine Siriraj Hospital. It is a two-credit course comprising 21 lectures and six computer practices. The course is regularly open to enroll in the first semester of every academic year, around October to November. Please keep an eye on the announcement on this web or Facebook of the lab to confirm the seat if you are not a student.
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