Course Schedule and Catalog
Course Schedule - Spring Semester 2025
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
COMP 571 001 (CRN: 26535)
COMPUTATIONAL GENOMICS
Long Title: MODELING AND INFERENCE IN COMPUTATIONAL GENOMICS
Department: Computer Science
Instructors:
Meeting: 4:00PM - 5:15PM MW (13-JAN-2025 - 25-APR-2025)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 69
Section Enrolled: 0
Enrollment data as of: 14-NOV-2024 11:48AM
Final Exam: GR Course-Dept Schedules Exam
Description: The course addresses several problems in computational genomics including, but not limited to, sequence alignment, phylogeny reconstruction, phylogenomics, cancer genomics, and viral phylodynamics. In addition to learning about these biological problems, the course emphasizes the mathematical approaches used to formulate these problems mathematically and the algorithmic techniques used to solve them. For mathematical modeling, the students will be introduced to hypothesis testing, probabilistic graphical models, graph theory, and more. For inference, the students will be introduced to combinatorial optimization, maximum likelihood estimation, Bayesian Markov chain Monte Carlo, and more. This is a course about computational problem solving, with genomics being the domain from which we draw problems, rather than a course about using bioinformatics tools. As such, students are expected to have the mathematical maturity students would get in courses such as COMP 182, COMP 382, and STAT 310.