ELEG 579 - Magneto Bio-Engineering

3 Credit(s)

Over the past few decades rapid developments in genomic and molecular research and development in information technology have combined to produce a tremendous amount of information related to molecular bioengineering. This course focuses on designing and development of algorithms for BIOLogical problems. String, Tree and Sequencing algorithms are studied in this course to solve biological problems. Student will work with popular string based bioinformatics algorithms not only to understand algorithms design methodologies but also to identify the potential weaknesses in traditional bioinformatics algorithms. Labs are workshops are integral part of the course. Practical exercises using both bioinformatics software and simple Java programs will help students understand how bioinformatics algorithms really work. The course is aimed both at biomedical engineering and computer science students. Though no prior experience in Java is required, students are expected to have mathematics and some programming background. During the course students are expected to attend workshops and labs in addition to that they are expected to spend few hours weekly in computer lab to solve problems and learn required programming skills. The class discussion will focus on solving computational problems, such as Mappings DNA, Sequencing DNA, Comparing sequences, Predicting genes, Finding Signals, Identifying proteins, etc.