Index:    Home     Homework     Calendar     Syllabus     Links     Software

Math 283  —  Fall 2017
Statistical Methods in Bioinformatics
Syllabus

Updated 9/29/17


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.

The library currently has a Springer subscription that includes 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 softcover version for $24.99. The regular hardcover version may be special ordered at the bookstore.
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. See the Software page of the class website.
COURSE REQUIREMENTS:   Weekly homework, one midterm, one final. Your composite grade is comprised of homework (30% for all homeworks combined), the midterm (30%), and the final (40%).
Homework: Homework assignments will be posted on the class website and are due in class on Wednesdays or as otherwise directed.
Exams:  There will be one midterm (Wednesday November 8 in class) and one final (Wednesday December 13, 3-6 p.m.). They will be comprehensive. Rules and material covered on each exam will be announced the prior week.
ACCOMODATIONS:   Students with special needs or disabilities must provide the instructor with an Authorization for Accommodation (AFA) letter issued by the Office for Students with Disabilities (OSD) in the first week of class, or as soon as possible if the situation arises later.

ACADEMIC INTEGRITY:   Cheating will not be tolerated.  See the UCSD Policy on Integrity of Scholarship.