Artificial Intelligence and Machine Learning Concentration for Electrical Engineering

About the Concentration

The Artificial Intelligence and Machine Learning Concentration for BSEE students provides a grounding in the fundamental concepts underlying modern AI and Machine Learning approaches and systems.  It covers both the mathematical background as well as programming, and allows students to branch out and draw on courses across the spectrum of AI and ML topics.

Concentration Requirements - Choose 9 credits:

• ECE 43800 - Digital Signal Processing With Applications

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• ECE 47300 - Introduction To Artificial Intelligence or
• ECE 57000 - Artificial Intelligence

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• ECE 49595 - Selected Topics In Electrical And Computer Engineering (Title: Cameras, Imaging and Statistical Inverse Problems)

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• ECE 49500 - Selected Topics In Electrical And Computer Engineering (Title: Data Mining Basic Concepts and Techniques)  or
• ECE 59500 - Selected Topics In Electrical Engineering (Title: Introduction to Data Mining)

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• ECE 50024 - Machine Learning
• ECE 56900 - Introduction To Robotic Systems
• ECE 59500 - Selected Topics in Electrical Engineering (Titles: Deep Learning for Computer Vision; Introduction to Deep Learning; Natural Language Processing)

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• Can include up to 3 hours of:   (Must have approval of the Associate Head of Undergraduate Programs or Associate Head of Teaching and Learning)
• VIP 37920 - Junior Participation In Vertically Integrated Projects (VIP)
• VIP 47920 - Senior Participation In Vertically Integrated Projects (VIP)
• ECE 49600 - Electrical And Computer Engineering Projects