Artificial Intelligence and Machine Learning Concentration for Computer Engineering

Location(s): West Lafayette

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About the Concentraton

The Artificial Intelligence and Machine Learning Concentration for BSCmpE 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.

Artificial Intelligence and Machine Learning Concentration Courses (9 credits)

Selectives (9 credits)

ECE 30862 - Object-Oriented Programming In C++ And Java Credits: 3.00
ECE 40875 - Data Mining Basic Concepts And Techniques Credits: 3.00 or
ECE 50836 - Introduction To Data Mining Credits: 3.00
ECE 47300 - Introduction To Artificial Intelligence Credits: 3.00 or
ECE 57000 - Artificial Intelligence Credits: 3.00
ECE 50024 - Machine Learning Credits: 3.00
ECE 56900 - Introduction To Robotic Systems Credits: 3.00
ECE 39595 - Selected Topics In Electrical And Computer Engineering Credits: 1.00 to 5.00 Title: Data Sci Labs Fourier Analysis (1 credit); Data Sci Labs Probability (1 credit)
ECE 49500 - Selected Topics In Electrical And Computer Engineering Credits: 1.00 to 4.00 Titles: Cameras, Imaging and Statistical Inverse Problems (3 credits); Introduction to Reinforcement Learning (3 credits); Natural Language Processing (3 credits); Undergraduate Computer Vision (3 credits)
ECE 59500 - Selected Topics In Electrical Engineering Credits: 1.00 to 3.00 Titles: Deep Learning for Computer Vision (3 credits); Introduction to Deep Learning (3 credits); Natural Language Processing (3 credits)

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

Communication

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