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Course description: Bioinformatics is the study of computational methods for analysis and interpretation of biological data, especially the vast amounts of gene and protein sequence data generated by recent advances in molecular biology. This course provides an overview of research in this fast-growing interdisciplinary field. Students will gain a better understanding of the biological questions that motivate this research and, especially, the computational methods that have been developed to help answer these questions. Topics to be studied include sequence alignment algorithms; use of hidden Markov models, language processing techniques, and genetic algorithms to analyze sequence data; clustering of genomic and proteomic data; phylogeny; and others. No prior knowledge of biology is assumed, and a brief introduction to molecular biology will be given at the beginning of the course. Course requirements include assigned reading, participation in class discussion, and a semester project that includes a class presentation.
Meeting time: Monday, Wednesday & Friday 10:00-10:50, Butler 103
Instructors:
Course schedule: See schedule
Course links: See links
Reading: Papers to be handed out during the semester.
Grading:
Prerequisite: Previous coursework in both algorithms and AI, or permission from the instructors.
Attendence: Students are expected to attend class regularly (including students auditing the course).
Academic honesty policy: Academic dishonesty can result in sanctions that include a grade of F for the course. See the Computer Science Departmental Policy Regarding Professional Conduct.
Add/drop policy: See the Mississippi State University Add/Drop Policy