CS 6300 - Principles of Artificial Intelligence

Institution:

Utah Tech University

Subject:

Computer Science

Description:

This course provides an understanding of Artificial Intelligence principles. Through lectures, hands-on projects, and real-world case studies, participants will gain practical knowledge of how AI systems are developed and applied across various industries. **COURSE LEARNING OUTCOMES (CLOs)** At the successful conclusion of this course students will: 1. Analyze problems using the agent-environment model to select appropriate artificial intelligence solution strategies.2. Create artificial intelligence solutions to problems with the artificial intelligence pipeline, using algorithms and data structures of the field, including search, logic, probabilistic reasoning, and machine learning.3. Apply unsupervised learning techniques, including dimensionality reduction and clustering, to identify patterns and refine features in data. 4. Perform statistical analysis of machine learning algorithms including linear and logistic regression.5. Utilize statistical and probabilistic learning models such as Naive Bayes, Linear Discriminant Analysis, and Quadratic Discriminant Analysis for classification and regression. Prerequisites: Acceptance to the Graduate Certificate in Applied Artificial Intelligence and Machine Learning. 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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