BMI Course Information
BMI 312 Modeling Biomedical Data (3)
Instructor Information |
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Fall 2009 |
Course not offered |
Spring 2009 |
Course not offered |
Catalog Description
The third semester of a three semester course surveying the methods and theories underlying the field of biomedical informatics. This course explores methods of use in the design and maintenance of biomedical databases, machine learning techniques, information retrieval in biomedicine and other methods specific to bioinformatics.
Prerequisites
BMI 311
Textbook and Other Materials
Shortliffe, E. Cimino, J. (Editors) Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics). Third edition.
Course Learning Outcomes
Students who complete this course will be able to:
1. Identify and describe applications and challenges in designing, creating, and maintaining biomedical databases.
2. Identify and utilize machine learning techniques in the analysis of biomedical data.
3. Identify and explain the use of Markov Models and E/M techniques in the biomedical field.
4. Identify and describe bioinformatics and information retrieval techniques.
5. Place existing methods and applications in the context of the history of the field and identify probable growth areas.
Major Topics and Time Covered
- Overview of databases (3 weeks)
- Biomedical database modeling (3 weeks)
- Machine learning methods and their applications in biomedical informatics (3 weeks)
- Introduction to Markov Models and Expectation/Maximization techniques and applications (3 weeks)
- Bioinformatics techniques overview: sequence alignment, integrative data management and analysis (2)
- Information retrieval (2 weeks)