Machine Learning and Data Science in CEE

3 Credits

Introduction to data science and machine learning for application to civil and environmental engineering problems. General topics include Python programming, data analysis, visualization, fundamentals of machine learning. Specific topics include linear regression, decision tree, random forest, support vector machines, and neural networks. Students will learn how to apply data analysis concepts to solve real-world problems in civil and environmental engineering. Prerequisites: ENGR 010 and MATH 205 Can be taken Concurrently: MATH 205