Computational Biology, Minor College of Engineering
The minor in Computational Biology will provide to students with engineering, physical science or biological science majors the foundations necessary to build efficient computational models and algorithms, use state-of-the-art techniques for scientific analysis and create scalable infrastructure environments for biological and biotechnological applications.
More information can be found on the CS Advising website.
Minor Advisors
Faculty Advisors: V. Filkov, D. Gusfield, P. Koehl, I. Tagkopoulos
Academic J. Clifford, K. Gage, P. Kumari
Students must take a total of 19-24 upper division units, with two required courses and 11-12 units of upper division electives, as specified below. A minimum GPA of 2.000 is required for coursework in the minor. Students should note that most of the courses listed below have lower division prerequisites. In particular, required course ECS 122A has a prerequisite chain of ECS 020, ECS 036A, ECS 036B, and ECS 036C. No more than one course of upper division work will be permitted for overlap between any major and the minor.
Code | Title | Units |
---|---|---|
Required Courses | ||
ECS 122A | Algorithm Design & Analysis | 4 |
ECS 124 | Theory & Practice of Bioinformatics | 4 |
Electives | ||
Choose 12-15 units: | 12-15 | |
Choose at least one biology course; 4 units minimum: | ||
Genes & Gene Expression | ||
or BIS 101V | Genes & Gene Expression | |
Cell Biology | ||
Population Biology & Ecology | ||
Introduction to Evolution | ||
Introduction to Ecology | ||
Population & Quantitative Genetics | ||
Phylogeny, Speciation & Macroevolution | ||
Human Genetic Variation & Evolution | ||
Advanced Molecular Biology | ||
Macromolecular Structure & Function | ||
Principles of Genomics | ||
Choose at least one computational or statistics course: | ||
BIS 132 | (Discontinued) | |
Applied Bioinformatics | ||
Scientific Computation | ||
Probability & Statistical Modeling for Computer Science | ||
Programming Languages | ||
Scripting Languages & Their Applications | ||
Programming on Parallel Architectures | ||
Software Engineering | ||
Database Systems | ||
Introduction to Artificial Intelligence | ||
Machine Learning | ||
Scientific Visualization | ||
Mathematical Statistics: Brief Course | ||
Fundamentals of Statistical Data Science | ||
Data & Web Technologies for Data Analysis | ||
Big Data & High Performance Statistical Computing | ||
Choose at least one computational biology and bioinformatics course: | ||
BIS 132 | (Discontinued) | |
Applied Bioinformatics | ||
Modeling Strategies for Biomedical Engineering | ||
Computational Structural Bioinformatics | ||
Total Units | 20-23 |