CS 6350 - Artificial Intelligence and Machine Learning Project 1

Institution:

Utah Tech University

Subject:

Computer Science

Description:

This course will guide students through an introductory machine learning project, enabling them to learn and practice required skills for problem formulation, data analysis, presentation of results, and model deployment. **COURSE LEARNING OUTCOMES (CLOs)** At the successful conclusion of this course students will: 1. Formulate a clear and actionable research question that can be addressed using machine learning techniques. 2. Collect relevant datasets and perform necessary preprocessing and feature engineering to prepare data for analysis. 3. Conduct exploratory data analysis and utilize data visualization to inform model selection and development. 4. Validate and fine-tune machine learning models using tools such as hyperparameter tuning and standard tools for performance evaluation. 5. Communicate findings effectively through reports and presentations and understand the basics of model deployment in real-world applications. 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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