CS 6330 - Programming for Machine Learning in Life Sciences

Institution:

Utah Tech University

Subject:

Computer Science

Description:

Foundational course to computer programming for the life sciences, including data processing, visualization, and basic statistical analysis utilizing high level programming languages. **COURSE LEARNING OUTCOMES (CLOs)** At the successful conclusion of this course students will: 1. Create and modify modest computer programs using loops, conditionals, functions, and object oriented techniques. 2. Load, visualize, and preprocess data sets. 3. Construct programs for processing life science data using optimized data structures. 4. Model and analyze data using computational libraries. 5. Select an appropriate combination of programming modules to solve computing problems in the life sciences. Prerequisites: Acceptance to 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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