Data Science and Machine Learning for Computational Sciences

Catalog description

This course will introduce students from different engineering and sciences disciplines to the data driven problem solving methods using machine learning techniques including clustering, classification, data modeling, and data visualization. The course will focus on processes, techniques, and algorithms for data mining and machine learning. Processes and phases include data preparation, exploration, modeling, and prediction. Specific clustering and classification techniques will be used to emphasize machine learning models using high-level language and their libraries. Students will learn and apply key concepts of modeling, analysis and validation from machine learning and data mining to analyze and develop data-driven predictive models. Upon completion of the course, students will be able to develop machine learning based solutions with applications in different science and engineering domains.