Artificial Intelligence and Machine Learning Concentration for Electrical and Computer Engineering, MSECE

Required Course (3 credits)

Choose one.

• ECE 60000 - Random Variables And Signals Credits: 3.00 or
• ECE 60800 - Computational Models And Methods Credits: 3.00

Selectives (6 credits)

• ECE 50024 - Machine Learning Credits: 3.00
• ECE 50836 - Introduction To Data Mining Credits: 3.00
• ECE 57000 - Artificial Intelligence Credits: 3.00
• ECE 59500 - Selected Topics In Electrical Engineering Credits: 1.00 to 3.00 Titles: (Credits: 3.00) Reinforcement Learning: Theory and Algorithms; Deep Learning for Computer Vision; Natural Language Processing
• ECE 60146 - Deep Learning - Theory And Practice Of Deep Neural Networks Credits: 3.00
• ECE 62900 - Introduction To Neural Networks Credits: 3.00
• ECE 66100 - Computer Vision Credits: 3.00
• ECE 66200 - Pattern Recognition And Decision-Making Processes Credits: 3.00
• ECE 69500 - Advanced Topics In Electrical And Computer Engineering Credits: 1.00 to 3.00 Title: Optimization for Deep Learning (Credits: 3.00)