Machine Learning for Engineers

3 credits · Undergraduate

The class introduces Machine Learning (ML) for engineers. After a review of linear algebra, calculus, probability, and classic machine learning, the class will focus on deep learning starting with simple multilayer perceptron’s and ending with modern convolutional neural networks (CNNs). Datasets for engineering problems will be utilized in this course. COREQUISITES: PREREQUISITES: ENGM 1081 - Computer Programming or equivalent & ENGM 2032 - Appld Prob'ty and Stats or equivalent EXCLUSIONS: Co-located ENGM4676 / ENGM6676 FORMATS: Lecture