Description
ENEE439D is a design course bringing real-world design experience to students in a team setting. It draws synergy between machine learning, data science, sensing and signal processing, and other engineering skills and knowledge. The warm-up modules in the first part of the course will review and enhancement on the basic principles, tools and platforms for machine learning and pattern recognition, as well as for signal/data representation, processing, and analysis. By means of team projects, students will apply what they have learned to real-world situtations, and gain hands-on experience in designing and implementing a machine learning system.
General Information
ELMS course link
https://myelms.umd.edu/courses/ (for gradebook, assignment submission, etc.)
Office Hours
Contact Prof. Wu or Ms. Xin Tian for an appointment. Use Piazza Q&A for quick questions and info. sharing.
Zoom info. for Tues. Class
Zoom ID: 936 6146 8887. Passcode 5-digit UMD zip. Please log in your UMD account on Zoom before you enter the meeting.
Zoom info. for Friday Lab
Zoom ID: 949 2020 2680. Please log in your UMD account on Zoom before you enter the meeting.
Name | Office Hours | |
---|---|---|
Min Wu | When? Where? | |
Zachary Lazri | When? Where? | |
Mingliang Chen | When? Where? | |
Xin Tian | When? Where? |