Artificial Intelligence and Machine Learning
Jesse Wallace, MS, Chair
Phone: (419) 995-8356
Email: wallace.j@rhodesstate.edu
Office: JJC 131
The Associate in Science (AS) in Artificial Intelligence and Machine Learning Major focuses on building machine learning models that can be used for predicting, making decisions, and enhancing human capabilities. The program prepares students for entry-level positions in a variety of fields using artificial intelligence, including information technology, automotive, healthcare, aerospace, industrial, and manufacturing industries. Program content includes an introduction to artificial intelligence and machine learning, natural language processing, computer vision, and artificial intelligence for business solutions and other applications. The curriculum also includes coursework in computer programming, math, engineering, and statistics.
Program Learning Outcomes
Upon completion, the student will be able to:
- Apply common artificial intelligence (AI) concepts and methodologies, including neural networks/deep learning, machine learning, natural language processing, computer vision, and data science, for analysis and decision making.
- Apply artificial intelligence (AI) project development and machine learning life cycle to address social and business issues, opportunities, and problems.
- Apply statistical analysis and machine learning algorithms to predict usefulness of artificial intelligence (AI) programming solutions.
- Use appropriate programming languages to implement artificial intelligence (AI) solutions.
- Communicate in varied settings, orally and visually and in writing, in a culturally responsive manner.
- Collaborate with diverse individuals and teams to design and implement artificial intelligence (AI) and machine learning solutions.
- Evaluate issues of bias, culture, environment, ethics, regulations, and professional expectations in the field of artificial intelligence (AI) and machine learning.
Technical Standards
See here for details.