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Instructor Class Description

Time Schedule:

Susan Kraemer
CSS 390
Bothell Campus

Special Topics

Examines current topics and issues associated with computing and software systems.

Class description

BIOINFORMATICS Recent advances in technology have caused an explosive growth in biological information available for analyzing biological questions and problems. Because of these advances in recent decades, many biologists must now “think computationally” to solve our problems in health care, research diseases, and understand our environment. According to the National Institutes of Health (NIH), Bioinformatics is “Research, development, or application of computational tools and approaches for expanding the use of biological, medical, behavioral or health data, including those to acquire, store, organize, archive, analyze, or visualize such data.” To introduce this rapidly advancing field, this course will give the student a working knowledge of a variety of computational tools available to interpret the many publicly available biological datasets.

Student learning goals

understand how one can use computational methods to interpret biological datasets

understand high throughput data collection technologies such as microarrays and DNA sequencing

use hands-on exercises to develop a deeper understanding of bioinformatics principles and methods

understand fundamental bioinformatics algorithms

learn how to access, manipulate, and analyze biological datasets currently available

apply bioinformatics methods to disease and environment related questions

General method of instruction

Recommended preparation

None

Class assignments and grading


The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Last Update by Susan Kraemer
Date: 05/10/2012