CS 6331 - Machine Learning for Life Sciences

Institution:

Utah Tech University

Subject:

Computer Science

Description:

Foundational course in end-to-end machine learning and frequently used machine learning models in the life sciences. Students will apply this knowledge in working with curated biological datasets. **COURSE LEARNING OUTCOMES (CLOs)** At the successful conclusion of this course students will: 1. Create machine learning solutions to problems in life sciences, using the machine learning pipeline, including data processing, model selection, model fine-tuning, and model validation. 2. Create and train various machine learning models, including: neural networks, regression models, and tree-based methods. 3. Select and justify use of a machine learning model for a specific problem. 4. Transform high dimensional datasets into lower dimensions for data analysis and exploration. 5. Test scientific hypotheses using statistical modeling. Corequisite: CS 6330. Prerequisites: Acceptance to the Graduate Certificate in Machine Learning for Life Sciences. 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

General Education

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