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Oct 23, 2026
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2026-2027 University Catalog
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GRAD 50400 - Advanced AI Fundamentals For Technical Professional
Credit Hours: 2.00. Artificial Intelligence (AI) is the driving force behind the transformation of industries, research, and technology. For students with a highly technical background, this 2-credit hour graduate course offers a deep dive into the fundamental principles, theories, and applications of AI. Specifically, this course will introduce students to the field of data mining and machine learning, which sits at the interface between statistics and computer science. Data mining and machine learning focus on developing algorithms to automatically discover patterns and learn models of large datasets. This course introduces students to the process and main techniques in data mining and machine learning, including exploratory data analysis, predictive modeling, descriptive modeling, and evaluation. To be successful in this course students should have experience with programming such as Python and R and have a background that includes calculus, linear algebra, algorithms, and probability theory.
Learning Outcomes
1. Identify key elements of Artificial Intelligence (AI) and Machine Learning (ML) algorithms. 2. Understand how to choose AI/ML algorithms for different analysis tasks. 3. Analyze data in both an exploratory and targeted manner using AI and ML approaches. 4. Implement and apply basic AI/ML algorithms for supervised and unsupervised learning. 5. Accurately evaluate the performance of AI/ML algorithms, as well as formulate and test hypotheses.
Credit Hours: 2.00
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