BIOL 2070 - Introduction to Machine Learning in Biology and Medicine

Institution:

Utah Tech University

Subject:

Biology

Description:

This course explores the transformative intersection of machine learning and biology. It will outline the fundamental principles of artificial intelligence and machine learning, emphasizing their applications in the biological sciences. Students will gain insight into the conceptual foundations of AI algorithms without delving deeply into mathematical intricacies. It will highlight the role of AI in advancing biological research, addressing the capabilities, limitations, and potential future developments in intelligent computing. Through a combination of lectures, live coding demonstrations, and hands-on exercises, students will develop a practical understanding of how AI technologies contribute to various facets of biology. **Course Learning Outcomes (CLOs)** At the successful conclusion of this course students will: 1. Describe concepts of machine learning and how they apply to biology and medical data. 2. Apply machine learning to biological problems. 3. Explore career opportunities within computation and machine learning fields. Prerequisites: BIOL 1610 and Math 1050 (Grade C- or higher) or appropriate placement score to enter Math 1060. FA

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utahtech.edu/

Phone Number:

(435) 652-7500

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

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