Class Hours: Monday + Wednesday @ 3p - 3:50p in Malone 107
Office Hours: Wednesday @ 4-5p in Malone 323 and by appointment
The goal of this course is to prepare undergraduates to understand and perform state-of-the-art biomedical research. This will be accomplished through three main components: (1) classroom-style lectures on cross cutting techniques for biomedical research focusing on data visualization, statistical inference, and scientific computing; (2) research presentations from distinguished faculty on their active research projects; and (3) a major research project to be performed under the mentorship of a JHU professor. Students will present their research during an in-class symposium at the end of the semester. Grading will be based on homework exercises, a written research proposal, an interim research report, an oral research presentation, and a final research report.
- Online introduction to Unix/Linux. Students are strongly recommended to complete one of the following online tutorials before class begins.
- Access to a Linux Machine, or Install VirtualBox (Unfortuantely, even Mac will not work correctly for some programs)
- Applied Comparative Genomics
- Molecular Biology of the Gene (Watson et al)
- Bioinformatics Algorithms: An Active Learning Approach (Compeau and Pevzner)
- Unix and Perl for Biologists (Bradnam et al)