Agenda:
Proposed approval as Software Laboratory course
ECE 364 “Programming Methods for Machine Learning“
Focuses on auto-differentiation tools like PyTorch used with basic machine learning algorithms (linear regression, logistic regression, deep nets, k-means clustering), and extensions in custom methods to fit specific needs. Auto-differentiation tools are essential for data analysis and a solid understanding is increasingly important in many disciplines. In contrast to existing courses which focus on algorithmic and theoretical aspects of Machine Learning, the focus here is on implementation with auto-diff tools. Course Information: Prerequisite: MATH 257.
General Discussion on the ECE Curriculum
The discussion will address again issues, priorities, and challenges for the ECE undergraduate programs as perceived by the committee, with the goal to capture the perspectives of the broad and diverse membership. Topics may include for example (without being exclusive of other ones as proposed by members):
Growing enrollment and class sizes
Instructional facilities and related resources
Needs and opportunities for instructional innovation
Keeping the curriculum relevant; ABET evolution
Co-curricular activities for students
Undergraduate recruiting and marketing
etc.