| |
Jun 23, 2024
|
|
|
|
|
MATH 3680 - Quantitative Foundations for Bioinformatics
Bioinformatics is the science of extracting biologically relevant information from large sets of biomolecular data. The course will introduce students to the mathematical models, statistical techniques, and algorithms on which this process is based.
Requisites: BIOS 1700 or EE 3713 or MATH 2500 or PBIO 3150 or (PBIO 1140 and PSY 2110)
Credit Hours: 3
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes: - Ability to interpret the meaning of the output of these software tools in biological terms.
- Ability to recognize typical sources of uncertainty or outright invalid answers that occur in using these software tools.
- Ability to recognize which types of bioinformatics software will give solutions to the mathematical problems that correspond to given biological ones.
- Ability to translate certain types of biological data into mathematical ones.
- Ability to understand how parameter choices will affect the output.
- Familiarity with the most basic algorithms that are used by these software tools.
Add to Portfolio (opens a new window)
|
|
