Time Schedule:
Susan Kraemer
B BIO 393
Bothell Campus
Explores special topics in biology.
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
Class assignments and grading
