Automatic Control Concentration for Electrical Engineering

Location(s): West Lafayette

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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.

Automatic Control Concentration Requirements (10 credits)

Required Courses (4 credits)

ECE 30800 - Systems Simulation And Control Laboratory Credits: 1.00
ECE 38200 - Feedback System Analysis And Design Credits: 3.00

Selectives (6 credits)

ECE 48300 - Digital Control Systems Analysis And Design Credits: 3.00
ECE 49595 - Selected Topics In Electrical And Computer Engineering Credits: 1.00 to 5.00 Title: Introduction to Reinforcement Learning (3 credits)
ECE 56900 - Introduction To Robotic Systems Credits: 3.00
ECE 58000 - Optimization Methods For Systems And Control Credits: 3.00
ECE 59500 - Selected Topics In Electrical Engineering Credits: 1.00 to 3.00 Title: Introduction to Game Theory (3 credits)
MA 51100 - Linear Algebra With Applications Credits: 3.00

Can include up to 3 hours of:

(Must have approval of the Associate Head of Undergraduate Programs or Associate Head of Teaching and Learning)

ECE 49600 - Electrical And Computer Engineering Projects Credits: 0.00 to 18.00
VIP 37920 - Junior Participation In Vertically Integrated Projects (VIP) Credits: 2.00
VIP 47920 - Senior Participation In Vertically Integrated Projects (VIP) Credits: 2.00

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