Back To Top


Students learn in a classroom.

Bioinformatics Minor (Minimum of 21 Credit Hours)

The bioinformatics minor provides students who have 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.

Required Courses:

Course Number Course Name Credits
CSC 151

Introduction to Programming I

This is an introduction to computer programming using a modern language: program structure, procedures, functions, loops, if-then-else, arrays and records.

Prerequisites: MAT-101 or achieve a placement test score indicating mastery of the MAT-101 material.

CSC 152

Introduction to Programming II

Prerequisites: CSC-151

MAT 124

Intermediate Applied Statistics

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.

Prerequisites: MAT-123 with a minimum grade of C.

BIO 375

Math Modeling in Biology

Techniques for expressing biological molecules and concepts as mathematical expressions for analysis and comparison.

Prerequisites: MAT-125 and (BIO-102 or BIO-303), 1 computer science (CSC or IT) course. CSC-151 or IT-111 is recommended.

BIO 350

Fund of Genomics, Proteomics & Bioinformatics

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 biology.

Prerequisites: BIO-303 and MAT-125., any CSC (Computer Science) course., BIO-350L

BIO 351

Computational Biology

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 hour laboratory.

Prerequisites: BIO/CHE-303 or permission of the instructor., BIO-351L

BIO 351L

Computational Biology Lab

Lab to accompany BIO 351

Prerequisites: BIO-351

BIO 499

Capstone Experience

This course is designed to be a capstone experience in the form of a research experience, internship/practical experience, or service learning experience.
Total 21-22