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Apr 03, 2026
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ENGR 627 - Applications of Artificial Intelligence and Machine Learning in Interdisciplinary Engineering
Units: 3
Broad introduction to machine learning and artificial intelligence with emphasis on various engineering applications. Principles of supervised and unsupervised learning are discussed. Topics include regression & classification, clustering, dimensionality reduction, neural networks, and LLMs. Review of literature.
Strongly Recommended Preparation: Knowledge of Calculus and some programming language
Possible Instructional Methods: Online-Asynchronous.
Grading: A-F grading only.
Course Typically Offered: Fall ONLY
Student Learning Outcomes - Upon successful completion of this course students will be able to:
- Demonstrate proficiency in artificial intelligence & machine learning concepts and techniques.
- Create domain knowledge specific models.
- Apply AI & ML algorithms to solve real-world engineering problems.
- Identify tradeoffs of learning methods to produce optimal solutions.
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