Biomedical Data Science

Undergraduate

Concepts and practices in biomedical data science. Bash scripting, Python programing, prediction, data visualisation, data clustering, biomarker selection, biomedical image processing, biomolecular structure prediction, docking and drug discovery. Course Format: Lectures, 3 hours per week; walk-in lab, 2 hours per week. Restrictions: Open to BIOL, BTEC, CHEM, BMED, GRWI, NEUR, OEVI programs, or permission from the instructor. Students must have a minimum of 8.0 overall credits. Prerequisite(s): BIOL 2P02; MATH 1P05 or MATH 1P97 Cross-Listing(s): BIOL 3P06 Course Notes: This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.