MED 51012 Experimental and Data Analysis Techniques in Biomedical Sciences (Part 2 of 2)

3 units
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 2 of 2)

Components:

Theory and Laboratory

Requirements:

Prerequisite : MED 51011 .

Previously Offered Terms:

Fall
Winter
All Professors
A+ Average (9.609)
Most Common: A+ (78%)
23 students

P

S

NS

F

D

C

B

A-

A+

Ryan Charles Russell

Winter 2024 - A00

A+ Average (9.609)
Most Common: A+ (78%)
23 students

P

S

NS

F

D

C

B

A-

A+

Nadine Louise Wiper

2 sections from Fall 2022 to Winter 2023

No grade data available for this course.