SEP 785 / Machine Learning

3 unit(s)

(Cross-listed as MECH ENG 785)

This graduate course provides both breadth and depth in terms of machine learning and data mining with a good mixture of theory, practice, and real-world applications. Students will learn how to implement data preprocessing solutions and how to visualize multi-dimensional data effectively. This course provides students the fundamental and advanced theories to understand the operation of the popular machine learning models and data mining approaches. Statistical methods will be applied to discover patterns in various data sets, and real-life classification problems will be explored and solved. Weekly assignments and course projects will be arranged for enhancing students’ deep comprehension and practical competencies.