CS 6341 - Machine Learning for Drug Discovery

Institution:

Utah Tech University

Subject:

Computer Science

Description:

This course provides an in-depth exploration of the computational techniques and methodologies used in modern drug discovery. Students will learn practical applications of machine learning to drug discovery, focusing on drug development and design. ***COURSE LEARNING OUTCOMES (CLOs)** At the successful conclusion of this course students will: 1. Describe the development and current-day applications of machine learning to drug discovery. 2. Apply standard chemistry, drug design and visualization libraries for molecular analysis. 3. Utilize machine learning models for problems in drug design, potentially including drug synergistic interactions, target identification, and ligand-receptor activation. 4. Create or repurpose potential drugs for treatment of specific diseases using machine learning models. Prerequisites: CS 6330 (B- or higher); AND CS 6331 (B- or higher). SP

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

General Education

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