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This course is a technical approach to cutting-edge AI methods. Students will productionize machine learning models to solve business problems, evaluate modern AI use cases (such as computer vision) and adapt Large Language Models (LLMs) for specific applications.
 

This course is an introduction to data science in Python. You’ll use advanced visualization and predictive modeling tools to turn raw data into actionable insights. You will also learn how to use SQL to navigate databases.
 

A study of the basic principles of microbiology. Topics covered will include the history of microbiology including classic experiments, microbial structure and function, nutrition, growth, control, metabolism, and genetics of microbes. Diverse microbial organisms will be covered and include viruses, bacteria, archaea, fungi, algae, and protozoa. Microbial roles in symbiotic relationships, the environment, and the food industry will be discussed. Biotechnology involving microbes will also be covered. This course is designed for upper level biology majors and minors but is appropriate as a general education science course as well. Concurrent enrollment in the associated laboratory, BIO 301, is required.

This course - built in collaboration with corporate advisors - is the culmination of your work as a student of supply chain management. In this course you'll be tasked with creating a series of solutions to actual problems faced by a real-world company in delivering their product to consumers. By the end of this course, you will have built experience in solving real-world supply chain problems and seeing how your solutions compare to the professionals.
 

We live in a digital world, and to shape it, you need to understand the systems that power it. This course teaches you not just how computers work, but how they have–and will continue to—evolve. You'll get a taste for coding by building your own website, design AI-powered products, learn how to break down technical problems, and become a wiser digital citizen in the process.
 

We live in a digital world, and to shape it, you need to understand the systems that power it. This course teaches you not just how computers work, but how they have–and will continue to—evolve. You'll get a taste for coding by building your own website, design AI-powered products, learn how to break down technical problems, and become a wiser digital citizen in the process.

Have you ever wondered how you’d manage without websites—no online banking, instant information, or social media? Fortunately, web development brings these essential services to life. In this course, you'll learn the fundamentals of web development, from HTML and CSS to JavaScript. You'll discover how to create visually appealing and interactive sites. By the end, you'll build responsive, user-friendly websites that captivate and engage users.
 

The Master of Science in Kinesiology & Exercise Science is committed to be a leader in preparing students to critically analyze issues and problems related to exercise science, strength and conditioning and physical education.  In addition, we ensure that our students are proficient in the outcome areas of practical and theoretical competence, communication, personal and professional decision making, ethical and legal practices, professional development, and self-enhancement.

The MS degree in Kinesiology & Exercise Science offers two types of concentrations:
• Research based thesis  
• Graduate level internship  

Program Requirements:

• 30 credit hours (non-thesis) or 30-33 credit hours (thesis)
• Required Courses for all MS students include KES 501,KES 590, KES 600, KES 622, KES 650, KES 652, and KES 654.  

1. Thesis Option:

Master's candidate in this track must complete a scholarly thesis. The project is overseen by a Thesis Advisor and Committee. Thesis students can take up to six credit hours of thesis.  

2. Project/Internship Option:

Master's candidate in this track must complete 30 credit hours of KES related coursework along with the required core courses listed under the Program Requirements.

Kinesiology & Exercise Science (Non-Thesis)

Kinesiology & Exercise Science (Thesis)