Instructors
Doina Caragea Susan J. Brown
216 Nichols Hall 239A Chalmers Hall
785-532-7908 785-532-6670
dcaragea@ksu.edu sjbrown@ksu.edu
Office hours: W10:30-11:30 or by app. Office hours: by app.
Meeting Time
Lec: MWF 1:30am-2:20pm in Nichols 127, Lab: W 2:30-4:30pm in Nichols 022.
Prerequisites
Basic knowledge in probability and statistics, data structures and algorithms.
Targeted audience
Graduate students from Computer Science, Biology and related areas.
Synopsis
A problem solving approach to understanding genomics and bioinformatics. Practical use of databases and web-based tools used to study biological problems.
Textbook
Understanding Bioinformatics (Paperback) by Marketa Zvelebil and Jeremy Baum
Course Description and Topics Covered
Available here.
Grading Policy
Available policy.
Recommended Software
Honor System
Kansas State University has an Honor System based on personal integrity, which is presumed to be a sufficient assurance that, in academic matters, one's work is performed honestly and without unauthorized assistance.
Undergraduate and graduate students, when they register, acknowledge the jurisdiction of the K-State Honor System. The policies and procedures of the Honor System apply to all full and part-time students enrolled in undergraduate and graduate courses on-campus, off-campus, as well as on-line. A component vital to the Honor System is the inclusion of the Honor Pledge, which applies to all assignments, examinations, and other course work undertaken by students:
“On my honor, as a student, I have neither given nor received unauthorized aid on this academic work.”