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Math 283 — Spring 2012
Statistical Methods in Bioinformatics
Syllabus
Updated 04/01/12
INSTRUCTOR:
Glenn Tesler
DESCRIPTION:
This is a one quarter introduction to applications of Probability and
Statistitistics in Bioinformatics. It is one of the core courses
in the Graduate Bioinformatics Program.
REQUIRED MATERIALS:
Textbook:
Warren J. Ewens and Gregory R. Grant,
Statistical Methods in Bioinformatics: An Introduction,
Second Edition,
(c) 2005.
In addition to the hardcover version available for purchase at the bookstore,
the library currently has a Springer subscription including the
online edition
(accessible from a UCSD IP address), but beware that UCSD has cancelled
publisher subscriptions in the past. The website includes a link to
purchase a "printed eBook" version for $24.95.
Slides and Handouts: There will be slides and/or handouts for
a number of the lectures. In most cases, these will be posted on
the Calendar page of the class website.
Computer resources: Homework assignments include problems that
are geared towards Matlab,
R, or other mathematical/statistical
software, rather than a calculator.
COURSE REQUIREMENTS:
Weekly homework, one midterm, one final.
Homework: Homework assignments
will be posted on the class website
and are due in class on Wednesdays or
as otherwise directed.
-
Please write your name, student ID number,
date, and assignment number at the top of the first page.
- Show your work, and when relevant, circle your final answer.
-
Please staple the pages together.
-
Unless otherwise directed,
you may study with others, but the work you turn in should be your own;
do not just copy someone else's answer.
Exams: There will be
one midterm (Wednesday May 9 in class)
and one final (Friday June 15, 3-6 p.m.).
They will be comprehensive.
Rules and material covered on each exam will be
announced the prior week.
ACADEMIC INTEGRITY:
Cheating will not be tolerated. See the
"UCSD Policy on Integrity of Scholarship" published in the
UCSD
General Catalog.