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GUGC INFO SESSIONINFORMATICS AND BIOINFORMATICS
Wesley De NeveIDLab, Ghent University – imec, BelgiumImage and Video Systems Lab, KAIST, Korea
Center for Biotech Data Science, Ghent University Global Campus, Korea
October 29, 2016
COEX, Seoul, Korea
PROFESSIONAL BACKGROUND• Academic credentials
� Master’s degree in computer science (2002) at Ghent University, Belgium
� Ph.D. degree in computer science engineering (2007) at Ghent University, Belgium
• Employment� IDLab at Ghent University – imec, Belgium� Image and Video Systems Lab, KAIST, Korea� Ghent University Global Campus (GUGC), Korea
RESEARCH: DEEP MACHINE LEARNING
Google DeepMind &Ghent University
TEACHING
Informatics(Fall and Spring term of BA1)
Bioinformatics(Fall term of BA3 - MBT)
TEACHING
Informatics(Fall and Spring term of BA1)
Bioinformatics(Fall term of BA3 - MBT)
Engineers often face time-consuming and repetitive tasks, especially when they have to gather and process data
‒ collecting information from websites‒ converting files from one format into another‒ analyzing, summarizing, and visualizing information
Given the exponential flow of newly incoming data, engineers are forced to automate these tasks
INFORMATICS: BACKGROUND
To know how to describe time-consuming and repetitive tasks in such a way that these tasks can be performed automatically
To know how to work and think in Python and UNIX‒ popular tools for teaching introductory computer science‒ bridge the communication gap between humans and computers
INFORMATICS: GOALS
Teaching‒ theory lectures‒ supervised hands-on sessions
online exercise platform (home campus)
‒ self-study using two handbooks
Evaluation‒ programming assignments
topics: biology, chemistry,physics, and mathematics
‒ open book exam
INFORMATICS: PRACTICALITIES
TEACHING
Informatics(Fall and Spring term of BA1)
Bioinformatics(Fall term of BA3 - MBT)
Introduction to bioinformatics‒ field born after biologists discovered how to sequence DNA‒ studies mathematical and computational techniques for deciphering
the language of DNA, RNA, and proteins (molecular biology)
‒ part of modern biology, often facilitating new data-driven discoveries
BIOINFORMATICS: BACKGROUND
To understand the interaction between biology, mathematics,and computer science
To understand standard problem-solving techniques (algorithms)in the field of bioinformatics
BIOINFORMATICS: GOALS (1)
To be able to design, implement,and analyze new algorithms
To improve skills in terms ofcreative problem solving,out-of-the-box thinking, andprogramming
BIOINFORMATICS: GOALS (2)
Teaching‒ theory lectures‒ supervised hands-on sessions‒ self-study using a handbook
Evaluation‒ theory questions‒ programming assignments
topics: motif finding, DNA sequence alignment, etc.
‒ closed book exam
BIOINFORMATICS: PRACTICALITIES
Thank you for your [email protected]