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PHY2710H S (UTM PHY426H)
Computational Methods in Biophysics

not offered this year!

Official description

This course will provide an in depth study of the mathematical concepts, numerical methods and computational techniques commonly employed in the study of biological physics. Topics to be covered may include stochastic processes and their applications, Monte Carlo algorithms, Bayesian inference, machine learning, molecular dynamics and coarse-grained simulations of bio-macromolecules and their assemblies and other numerical and computational tools.

Prerequisite
N/A
Co-requisite
N/A
Exclusion
PHY426H at UTM and PHY407H at UTSG.
Recommended preparation
N/A
Textbook
                            "Computational Physics” by Mark Newman.
                        
Breadth requirement
BR=5
Distribution requirement
DR=SCI
course title
PHY2710H S (UTM PHY426H)
session
winter
group
cross listed course
time and location
Lecture: Fri, 1-3 pm Practical: Thu, 1-3 pm Location: UTM Campus, CC 3160
instructor
Rauscher, Sarah
Sarah Rauscher