Bioinformatics

Catalog description

Introductory Bioinformatics is a hybrid course following the ‘flipped classroom’ approach. Students will access course material and assignments online, and then meet in the virtual classroom environment to review instructional material, discuss current literature, work on exercises, and to present a final project demonstrating knowledge of bioinformatic methods and analyses. The course introduces students to a number of current topics in the field including, but not limited to: databases containing biological and genetic information; ‘omics’; data mining; and systems modeling. The course integrates the use real world bioinformatics data and students develop fundamental skills in coding and the use of modern computer languages, statistical software, and analytical approaches. Permission of instructor required. Typically offered Fall Spring. Prerequisite(s): BIOL 24400 FOR LEVEL UG WITH MIN. GRADE OF D- Course Learning Outcomes 1. Design and carry out research on a topic in bioinformatics that they select. 2. Work with peers to obtain and analyze bioinformatic data from various sources and communicate information from contemporary research articles that used similar analytical approaches. 3. Demonstrate their knowledge of bioinformatic software, tools, and analytical methods that they have applied in the area of their research topics in a final project presentation. View Class Schedule