MED 51011 Experimental and Data Analysis Techniques in Biomedical Sciences (Part 1 of 2)
Medicine
Faculty of Medicine
This course covers experimental and data analysis techniques used in the biomedical sciences. This course consists of different modules with experiential hands-on learning. Students must take 3 modules of their choice among a selection of modules offered. Modules offered cover biostatistics, animal behavior, big data/omics, bioinformatics, high-throughput sequencing basics, basic of metabolomic phenotyping, nanomedicines from concept to commercialization, design and health applications of nano-biomaterials, determination of macromolecular structures, genomic editing and high throughput screening with CRISPR/Cas9, nuclear medical imaging techniques, flow cytometry, imaging, structural biology, metabolomics and lipidomics. (Part 1 of 2)
Components:
Theory and Laboratory
Previously Offered Terms:
Fall