Artificial Intelligence (AI) in Engineering and Science Applications

Catalog description

This course will introduce the student to AI, ML and Deep Learning topics. In addition, the students will investigate different AI applications in engineering and sciences. The course entails general concepts of AI as well as AI models, selecting an AI model for an application. Some theory will be covered. Transfer learning and reinforcement learning in deep convolutional neural networks will be discussed. Ethics in AI and limitations of AI will also be discussed. The course culminates in an individual graduate-level class project that involves use of AI tools for machine learning/deep learning for data classification/regression analysis or other applications selected by student and approved by instructor. Students will get hands on experience with programming in MATLAB, Python or other AI tools of their choice. Engineering graduate standing.