Download a list of approved courses to satisfy the CSEM Area A, B, & C requirements. Note: All course selections must be approved by the Graduate Adviser. See Graduate Catalog for full course descriptions.
CSE 382M -- Foundational Techniques of Machine Learning & Data Sciences -- syllabus CSE 389D -- Introduction to Mathematical Modeling in Science and Engineering II -- syllabus
Area C Policy
A course may be considered as Area C if the following criteria are met:
The course must explore the underlying scientific principles of the natural, social, or other system that constitutes the target application area. [Engage the science.]
The course may include some computational or mathematical modeling components, but it must explore the purpose and physical interpretation of the computation and models. [CSE is done to foster some scientific or societal goal, and the course must discuss this aspect in much more than a passing way.]