Computer Science: Bioinformatics
Computer Science: Bioinformatics
| Hours | 85 Credit Hours |
| MAP | Major Academic Plan |
Program Requirements
Personnel in the College of Physical and Mathematical Sciences Advisement Center will advise regarding core courses and suggested general education.
Questions regarding curriculum and career decisions should be directed to the undergraduate advisor in the Computer Science Department.
Note: All hours of credit applied toward a major in computer science must be of C- or better and must be taken within eight years of declaring the computer science major. Any exceptions must be approved by the department. Students may choose to graduate under later requirements by updating their date of entry into the major at the college advisement center.
requirement 1 Complete 11 courses
Core courses:
requirement 2 Complete 2 options
Supporting courses:
option 2.1 Complete 10 courses
option 2.2 Complete 1 course
requirement 3 Complete 18.0 hours from the following option(s)
Complete a total of 6 elective courses (18.0 credit hours) from the following options. Note: If C S 401R, 497R, or 498R is chosen, it must be taken for 3 hours.
option 3.1 Complete up to 18.0 hours from the following course(s)
Complete 4-6 elective courses (12-18 credit hours) from the following list:
option 3.2 Complete up to 6.0 hours from the following course(s)
Complete 0-2 elective courses (0-6.0 credit hours) from the following list:
Program Outcomes:
Biological Background
Students understand the biological concepts that will allow them to write impactful bioinformatics algorithms.
Computational Practice
Students can implement significant programming projects. Students will perform analysis, specification, design, implementation, and testing resulting in quality computer software solutions. Students will use data structures, algorithms, programming languages, and software engineering techniques in their programming.
Computational Theory
Students will use theoretical concepts in their programming. Students will have the theoretical computer science background and the mathematical and analytical maturity necessary to allow them to follow and adapt to technological changes in their discipline or to enter graduate programs in Computer Science. Students will use automata theory, mathematics, and abstraction to analyze problems and their algorithmic solutions.