| CISC 850 Will start on Thursday January 9th - There will be no class on Tuesday January 7th
This
course provides an
overview of the main foundations for systems biology including cell
biology,
mathematics and experimental approaches. It visits computational
models,
machine learning approaches, and various modeling concepts and their
application. Finally, it provides a perspective on publicly available
tools and
databases and their integration with computational approaches, an
essential
part of systems biology.
An
undergraduate level understanding of statistics,
and familiarity with linear algebra, artificial intelligence and
biology would
be valuable for the course. If you are keen on taking the
course
and do
not have all the above pre-requisites you can contact the instructor
for permission to participate.
Breadth
Requirements: For
Students in the PhD program of the School of Computing, this course
counts as
an "application".
Regular updates and discussions on the course material will be through Moodle.
COPYRIGHT: “The
material on this website is copyrighted and is for the sole use of
students registered in this course. The material on this website may be
downloaded for a registered student’s personal use, but shall not be
distributed or disseminated to anyone other than students registered in
the course. Failure to abide by these conditions is a breach of
copyright, and may also constitute a breach of academic integrity under
the University Senate’s Academic Integrity Policy Statement.”
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