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New Spring Courses
The Department is offering two new Computer Science courses this spring:
This course will touch on several areas where the computational and the life sciences meet or disrupt each other's comfort. Topics will include some aspects of bioinformatics, computational genomics, modeling and simulation of life phenomena and computational evolutionary biology with reference to game theory. Interdisciplinary teams of students will perform experiments in a computer lab using both established and in-development software. Algorithms will be studied for such tasks as finding similarities between genomes, quantifying distances between related genomes, proposing new drugs. Also considered will be mechanisms for producing programs that mimic the learning exhibited by living things.
Privacy is recognized as a fundamental human right, and this recognition is increasingly being extended to people's data. Yet, there is vigorous debate and disagreement on the meaning of data privacy and how to preserve it. This course is an in-depth study into how computer scientists quantify privacy, how dealing with data necessitates such a consideration, what are good notions of data privacy and how we can design technologies and algorithms that fulfill such notions.