Spring 2020: EN 601.350, Genomic Data Science: a 300-level course in Biomedical Engineering and Computer Science

(Note: the course formerly had the number 600.340, in 2016 and 2017. In 2020 the course title was changed as well. The original title was Introduction to Genomic Research.)

Course title: Genomic Data Science (3 credits)
Course number: EN 601.350
Professor: Steven Salzberg
Meeting times: Tuesdays and Thursdays, 3:00pm - 4:15pm
Meeting location: Homewood Campus, Hodson 216
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. It is part of the new Genomics concentration in BME.

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 Python or Perl.

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