Computer Science and Engineering CSE 4623 Computational Biology

advertisement
Computer Science and Engineering CSE 4623
Computational Biology
CREDIT/CONTACT HOURS: Credit Hours: 3, Contact Hours: 45
COORDINATOR:
Dr. Andy Perkins
TEXTBOOKS: No Textbook required
a. Supplemental Material: No required material
SPECIFIC COURSE INFORMATION:
Catalog Description: Three hours lecture. Computational analysis of gene sequences and
protein structures on a large scale. Algorithms for sequence alignment, structural and
functional genomics, comparative genomics, and current topics.
a. Prerequisites: BCH 4113/6113 or equivalent and CSE 1384 or CSE 4613/6613
b. Required/Elective:
Computer Science – Elective
Software Engineering – Elective
Computer Engineering - Elective
SPECIFIC GOALS OF THE COURSE:
a. Specific Outcomes of Instruction:
1. Students will understand the major computational methods used in structural
and functional genomics.
2. Students will be able to read and understand current literature in computational
biology.
3. Students will be able to collaborate effectively in multidisciplinary teams of
life scientists and computer scientists.
4. Students will be able to apply computational tools to biological problems.
b. Criterion 3 Outcomes:
Note: Parenthesized list indicates the ABET EAC and CAC outcomes addressed by
each performance criteria.
1. Apply a variety of computational techniques to solve biological problems
(EAC: a, k; CAC: a, i)
2. Work in a multidisciplinary team to complete a computational biology project
and report the results in oral and written form to students and faculty in the
computational and life sciences (EAC: d, g; CAC: d, f)
TOPICS COVERED:
(Number of class hrs)
1. Introduction to computational biology
3
2. Information resources for genes and proteins
2
3. Sequence alignment
3
4. Database searching
3
5. Phylogenetic methods
5
6. Prediction of RNA secondary structure
2
7. Protein classification and structure predication
4
8. Gene prediction
5
9.
10.
11.
12.
Computational methods in proteomics
Functional genomics
Current topics
Examinations, class presentation of projects
3
5
5
5
Download