CSE 527 Computational Biology

Syllabus (tentative)

• Introduction (1 class)

  • Short intro to molecular biology

  • Overview of the topics covered

• Probabilistic models and applications in biology (4 classes)

  • Probability theory review

  • Probabilistic model representation

  • Maximum likelihood estimation (MLE), Expectation maximization (EM)

  • Overview of probabilistic models applied to biological problems

• Inferring biological networks from data (4 classes)

• Predicting diseases (4 classes)

• Population genetics (4 classes)

• (3 classes)

Dates for Assignments

• Problem set 1: out 10/13. due 10/27.

• Problem set 2: out 10/27. due 11/10.

• Problem set 3: out 11/17. due 11/24.

• Problem set 4: out 12/7. due 12/17.

• Project proposal: due 10/27.

• Milestone report: due 11/24.

• Final report: due 12/17.

Late Day Policy

All assignments are due at 11:59pm on the assigned due date. We recognize that students may encounter unexpected circumstances and so require more flexibility in the course schedule. Therefore, each student will be granted a total of 10 free late (calendar) days that can be applied to every assignment, but not the final report submission.