Johns Hopkins University 3 credits Mechanical Engineering
Artificial intelligence (AI) and machine learning methods (ML) have become ubiquitous in engineering. This course will introduce AI and ML fundamentals, including mathematical concepts behind data analysis and ML algorithms, neuro-network and transformer models, deep learning and classification, computer vision, and introduce large language models. Applications of AI methods to dynamics and control will be discussed as well. A series of computational projects will be presented together with lectures to introduce practical real-world examples of ML in mechanical engineering. Prerequisite(s): AS.110.201 and AS.110.302 and EN.553.311
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