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BIO 5495/BME 537/CSE 587A
Computational Molecular Biology, aka
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News and announcements
Subjects This course is a survey of
algorithms and mathematical methods in biological sequence analysis (with a
strong emphasis on probabilistic methods) and systems biology. Sequence
analysis topics include introduction to probability, hidden Markov models,
gene prediction, sequence alignment, and identification of
transcription-factor binding sites. Systems biology topics include discovery
of gene regulatory networks, quantitative modeling of gene regulatory
networks, synthetic biology, and quantitative modeling of metabolism.
Approach Our teaching philosophy is shifting
from lecture-based to active learning. This means you will be expected to
learn the basic material outside of class, through reading and working
problems. In class we will emphasize discussion and working on problems and
projects. Passive observers never learn much, but in this environment it will
be more obvious. If you are registered for the course, active participation
in class is an absolute requirement. My motto is, "I'm your personal
trainer, not your hair stylist." Pre- or Co-requisites
To take this course you must have taken, or take simultaneously, ·
A course in computer programming (or
equivalent experience) ·
A course covering basic molecular
biology equivalent to a high-school Advanced Placement course or an
introductory college course ·
A course covering basic
differential and integral calculus (high school or college level) It is possible to acquire either of the first two on your
own, without taking a formal course, but you must have done so already by the
time this course starts or you will be lost. |
