Three exciting new courses have been added to the schedule for the fall semester: CSCE 496/896 Computational Methods in Bioinformatics, CSCE 990 Molecular and Nanoscale Communication, and CSCE 423/823 Design and Analysis of Algorithms.
CSCE 496/896 will be taught by Dr. Juan Cui. It is an advanced course that introduces computational methods for understanding biological systems at the molecular level, including development and implementation of computer programs used to solve biological problems; development and solving of statistical and mathematical biological models. Topics include bio-sequence comparison and analysis, functional site prediction, structure prediction, phylogenic inference, regulation analysis, and biological data analysis such as microarray and sequencing analysis. Students must be senior or graduate standing in computer science, biology, mathematics, or statistics, or have permission from the instructor to take the class.
CSCE 990 will be taught be Dr. Massimiliano Pierobon. The goal of this course is to develop an understanding of the different options to realize communication at the nanoscale among nano-precise entities, or nanomachines, being them genetically engineered biological cells or man-made nanodevices. The specific focus will be on bio-inspired communication through molecule exchange and electromagnetic THz communication. Different techniques to realize nanomachines will be surveyed in the course, with particular attention to the tools provided by synthetic biology for the programming of biological cooperative systems.
Good standing graduate students from Computer Science and Engineering, Electrical Engineering, Chemical Engineering, Biology, Chemistry, and Chemical and Biomolecular engineering are welcome to take CSCE 990. Most of the necessary concepts from physics, chemistry, and biology, as well as from systems and communication engineering, will be provided during the lectures to accommodate students with different backgrounds, and let them benefit from a truly interdisciplinary approach. Student creativity, passion, and open-minded attitude will be highly appreciated and rewarded.
The Molecular and Nanoscale Communication course will also include semester-long projects, both theoretical and practical. This class will give a chance to be initiated to a very exciting cutting‐edge research field, which will soon influence many diverse research fields, such as engineering, chemistry, biology, and medicine.
Cui and Pierobon are both new professors in the CSE Department.
CSCE 423/823 will be taught by Dr. Stephen Scott. This course covers strategies for algorithm design, including divide-and-conquer, greedy, dynamic programming and backtracking. Mathematical analysis of algorithms. Introduction to NP-Completeness theory, including the classes P and NP, polynomial transformations and NP-complete problems. Students need to have taken CSCE 235, CSCE 310, and CSCE 311 in order to enroll in this course.
Students can register for these classes through MyRed.