Learning goals for MTH372
Role in Curriculum
Machine learning and statistical learning is spreading widely throughout society and throughout the career opportunities for students in both Mathematics, Computer Science and Business Analytics. Proficiency in the current toolkits develops generalized machine learning skills and provides access to current state of the art techniques. A project-focused learning approach is particularly well suited for building practical skills with applied statistics and machine learning.
Learning Goals and Assessment
Students will learn to use machine learning tools to meet modeling and prediction needs
Students will examine different types of large data sets, and perform modeling and prediction based on these data sets
Students will learn to evaluate and make trade-offs to pick appropriate tools for modeling and prediction
Students will perform model selection and evaluation when examining different types of large data sets
Students will learn to use machine learning tools to meet modeling and prediction needs
Students will examine different types of large data sets, and perform modeling and prediction based on these data sets
When assessment activities are done, the results will be summarized in memorandum form and filed with the department chairperson for record keeping purposes.
Information obtained from assessment will be used to assess and self-reflect on the success of the course and to make any necessary changes to improve teaching and learning effectiveness.