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Graduate Students Converse in a Computer Lab

BIOL-50900 Introduction to Computational Biology

Credits: 
3

This course will cover the computational techniques used to access, analyze, and interpret the biological information in common types of biological databases and the biological questions that can be addressed by such methods, applicable to the study of the context of genes within the same genome and across different genomes, the study of molecular sequence data for the purpose of inferring the function, interactions, evolution and structure of biological molecules, and the study of annotation and ontology.

Learning Objectives:

  1. Identify the most common data sources used by computational biologists.
  2. Describe the kind of problems for which common data sources are most commonly used.
  3. Use online biological data sources to solve problems in the life sciences.
  4. Create visualizations using biological data analysis tools that help clarify issues involved in problems in the life sciences.
  5. Describe how computational biology has helped solve a range of problems in the healthcare industry.
  6. Project how computational biology can be used to solve current problems in the healthcare industry.

YOUR OPPORTUNITY: You'll discover opportunities for applying data mining and analysis techniques to the huge volumes of data that describe biological and healthcare delivery systems.

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