We are excited to announce two new courses for students interested in computational biology. Both are being offered in Fall 2019!
Biological Networks (CSCI 3352)
- This course examines the computational representation and analysis of biological phenomena through networks, from molecules to species. Attention focuses on algorithms for clustering network structures, predicting missing information, modeling flows, regulation, and spreadingprocess dynamics, examining the evolution of network structure, and developing intuition for how network structure and dynamics relate to biological phenomena.
- TTh 11am-12:15pm
- Instructor: aaron.clauset@colorado.edu
- Non-CS students should contact the instructor to enroll
Software Engineering for Scientists (CSCI 2830)
- This class targets quantitative scientists with programming skills (in any language) who want to advance their research by developing robust and reproducible software. We will cover core principles of software development, including version control, testing, benchmarking, distribution, data structures, and algorithms. This class is taught in Python and self-study materials will be made available to help students transition to Python.
- TTh 10-11:15 AM, BIOT A104
- Instructor: ryan.layer@colorado.edu
- Questions? Contact the instructor!
- If you do not have coding experience, please complete this free Udacity tutorial “Introduction to Python Programming”