Bioinformatics Minor (Minimum of 21 Credit Hours)
The bioinformatics minor will provide students with an interest in computation and biology the opportunity to explore this rapidly developing field while simultaneously exposing these students to additional coursework in math and computing. Due to the prerequisite coursework required for these courses, it is expected that most students will simultaneously seek a bachelor of science degree in biology, mathematics or chemistry.
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This is an introduction to computer programming using a modern language: program structure,
procedures, functions, loops, if-then-else, arrays and records.
This course continues and expands the material present in MAT 123. The course will
cover hypothesis testing for variances, symmetric versus asymmetric distributions,
non-parametric methods for one, two or multiple samples, measures of association,
multifactor analysis of variance, and analysis of covariance. The material focuses
on the application of known methods. Large data sets will be employed to explore the
methods presented in class. The course will employ one of SPSS, MINITAB or SAS.
Techniques for expressing biological molecules and concepts as mathematical expressions
for analysis and comparison.
This course will offer an introduction into the novel disciplines of genomics, proteomics
and bioinformatics, providing students with a solid intellectual framework for understanding
biological pathways, networks and molecular systems in an integrated, multidisciplinary
fashion. The course will follow an interactive, problem-based instructional approach,
using several mathematics exercises that utilize statistical and probability calculations
to add quantitative rigor to the interpretation of biological data sets. The course
will be based on case studies taken from scientific publications and Internet-based
bioinformatics tools will be used for data analysis. The content will include all
major areas of biology, including DNA and protein sequences, microarrays, and systems
Description of BIO 351 should be same as the printed catalog: This course and required
lab are intended to serve as an introduction to the problems encountered in modern
biology research, with a special focus on the usage of modern computer-dependent techniques
to explain biological phenomena. Many modern biological studies are hindered by the
sheer volume of experimental data produced. These data often cannot be efficiently
or accurately interpreted without computer assistance, yet many scientists lack the
necessary skill set to do so. This course will instruct students in the challenges
of designing, implementing and analyzing in vivo or in vitro generated experimental
results using in silico techniques. This will be accomplished through a project-based
learning format. This course requires three hours of lecture a week and a weekly three
Lab to accompany BIO 351
This course is designed to be a capstone experience in the form of a research experience, internship/practical experience, or service learning experience.