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Bioinformatics and Computational Biology Graduate Academic Certificate

There is a large and growing demand for graduates with training in bioinformatics and computational biology. These areas are vital to the biotechnology industry, the medical sciences, and conservation biology. This certificate will provide graduate students who are pursuing graduate degrees in other areas with recognition for taking multiple courses of the BCB curriculum, and thus building a strong foundation in bioinformatics and computational biology. For more information please email bcb@uidaho.edu or visit the BCB Program office in Life Sciences South room 441D.

Biol 522

Molecular Evolution (3 cr)

CS 515

Computational Biology: Sequence Analysis (3 cr)

Math 563

Mathematical Genetics (3 cr)

Three credits from the following in a different area than the student's disciplinary focus. This course must be approved by the BCB director or another member of the BCB governing board (3 cr):

BCB 510

Computational Science for Biologists (3 cr)

BCB 511

Applied Bioinformatics (3 cr)

Biol 421

Advanced Evolutionary Biology (3 cr)

Biol 444

Genomics (3 cr)

Biol 456

Computer Skills for Biologists (3 cr)

Biol 545

Principles of Systematic Biology (3 cr)

Biol 547

Virology (3 cr)

Biol 548

Evolutionary Ecology (3 cr)

Biol 585

Prokaryotic Molecular Biology (3 cr)

Biol 587

Eukaryotic Molecular Genetics (3 cr)

CS 511

Parallel Programming (3 cr)

CS 512

Parallel Algorithms (3 cr)

CS 570

Artificial Intelligence (3 cr)

CS 572

Evolutionary Computation (3 cr)

CS 576

Data Mining Topics and Techniques (3 cr)

Math 428

Numerical Methods (3 cr)

Math 451

Probability Theory (3 cr)

Math 452

Mathematical Statistics (3 cr)

Math 538

Stochastic Models (3 cr)

MMBB 541

Biochemistry (3 cr)

MMBB 588

Genetic Engineering (3 cr)

Phys 533

Statistical Mechanics (3 cr)

Stat 519

Multivariate Analysis (3 cr)

Stat 565

Computer Intensive Statistics (3 cr)

Courses to total 12 credits for this certificate