Spring 2018: EN 601.350, a 300-level course in Biomedical Engineering and Computer Science

(Note: the course number formerly had the number 600.340, in 2016 and 2017)

Course title: Introduction to Genomic Research (3 credits)
Course number: EN 601.350
Professor: Steven Salzberg
Meeting times: Tuesdays and Thursdays, 3:00pm - 4:15pm
Meeting location: Homewood Campus, Hodson 313
Textbook: Bioinformatics Algorithms: An Active Learning Approach, Volume I, by Phillip Compeau and Pavel Pevzner (buy it from the authors' site here)

NOTE: This course is cross-listed in both Computer Science and Biomedical Engineering. Students in both majors will receive credit for this course as part of the overall requirements for either major.

Course description:
This course will use a project-based approach to introduce undergraduates to research in computational biology and genomics. During the semester, students will take a series of large data sets, all derived from recent research, and learn all the computational steps required to convert raw data into a polished analysis. Data challenges might include the DNA sequences from a bacterial genome project, the RNA sequences from an experiment to measure gene expression, the DNA from a human microbiome sequencing experiment, and others. Topics may vary from year to year. In addition to computational data analysis, students will learn to do critical reading of the scientific literature by reading high-profile research papers that generated groundbreaking or controversial results.

Prerequisites: knowledge of the Unix operating system and programming expertise in a language such as Perl or Python.

The course uses the Piazza site for all course content. Students in the class will be directed to that site.