Depth Courses
The Bioinformatics and Computational Biology M.S. and Ph.D. programs require a certain number of depth courses. These are courses at the 400-level or above and explore specific areas relevant to BCB students’ individual training goals. These courses are required to span two broad areas: (1) Biological Sciences and (2) Mathematics/Statistics/Computer Science.
The table below shows how many credits of depth courses are required for each program, and how they should be distributed between the two broad areas.
Program | Total # of Depth Credits Needed | Breakdown of Depth Credits in Each Broad Area |
---|---|---|
Ph.D. | 15 | At least 6 in Biological Sciences and 6 in Math/Stat/Computer Science |
M.S. – Thesis | 9 | At least 3 in Biological Sciences and 3 in Math/Stat/Computer Science |
M.S. – Non-Thesis | 14 | At least 6 in Biological Sciences and 6 in Math/Stat/Computer Science |
We have generated a list of recommended depth courses from each area, but this list is not exhaustive. Students are encouraged to explore other course options, as long as they are taught at a suitable level and fit within one of the two broad areas.
Decisions on which courses may be used as depth courses, and the discipline area to which they belong, are made by the Director and Governing Board. If there is any question, students are encouraged to ask whether a particular course will count prior to enrolling in the course. Do so by emailing bcb@uidaho.edu.
Depth: Biological Sciences
Course ID | Course Name | Credits |
---|---|---|
Biol 421 | Advanced Evolution/Population Dynamics | 3 credits |
Biol 444 | Genomics | 3 credits |
Biol 526 | Systems Biology | 3 credits |
Biol 545 | Phylogenetics | 3 credits |
Biol 547 | Virology | 3 credits |
Biol 553 | Ethical Issues in Biological Research | 1 credit |
Biol 554 | Biochemistry II | 3 credits |
Biol 585 | Prokaryotic Molecular Biology | 3 credits |
Biol 587 | Cellular and Molecular Basis of Disease | 3 credits |
PlSc 588 | Genetic Engineering | 3 credits |
Soil 525 | Microbial Ecology | 3 credits |
Stat/Wlf 555 | Statistical Ecology | 3 credits |
Wlf 540 | Conservation Genetics | 1-3 credits |
Wlf 552 | Ecological Modeling | 3 credits |
WLF 561 | Landscape Genetics | 3 credits |
Depth: Computer Science/Mathematical Sciences
Course ID | Course Name | Credits |
---|---|---|
Biol 526 | Systems Biology | 3 credits |
CS 511 | Parallel Programming | 3 credits |
CS 512 | Parallel Algorithms | 3 credits |
CS 570 | Artificial Intelligence | 3 credits |
CS 572 | Evolutionary Computation | 3 credits |
CS 574 | Deep Learning | 3 credits |
Math 428 | Numerical Methods | 3 credits |
Math 437 | Mathematical Biology | 3 credits |
Math 451 | Probability Theory | 3 credits |
Math 452 | Mathematical Statistics | 3 credits |
Math 538 | Stochastic Models | 3 credits |
Phys 533 | Statistical Mechanics | 3 credits |
Stat 517 | Statistical Learning and Predictive Modeling | 3 credits |
Stat 519 | Multivariate Analysis | 3 credits |
Stat 565 | Computer Intensive Statistics | 3 credits |