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PHY2710 S SPECIALIZED
Computational Methods in Biophysics

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, an introduction to phylogenetic inference and other numerical and computational tools.

Prerequisite
n.a.
Co-requisite
n.a.
Exclusion
PHY426 at UTM and PHY407 at UTSG.
Recommended preparation
n.a.
Textbook
                            "Computational Physics” by Mark Newman.
                        
Breadth requirement
BR=5
Distribution requirement
DR=SCI
course title
PHY2710 S SPECIALIZED
session
winter
group
specialized course
time and location
T 1-3pm (lecture) and F 1-3pm (practical)
instructor

Delivery Methods

In Person

A course is considered In Person if it requires attendance at a specific location and time for some or all course activities.*.

* Subject to adjustments imposed by public health requirements for physical distancing.

Online - Synchronous
A course is considered Online Synchronous if online attendance is expected at a specific time for some or all course activities, and attendance at a specific location is not expected for any activities or exams.
Asynchronous
A course is considered Asynchronous if it has no requirement for attendance at a specific time or location for any activities or exams.