EE5521
EE 5521 - Intro to Machine Learning and Data Science for Electrical and Computer Engineers & Roboticists (3 Cr.) Online may be available
Electrical and Computer Engineering (11122)
TIOT - College of Science and Engineering
EE 5521 - Intro to Machine Learning and Data Science for Electrical and Computer Engineers & Roboticists (3 Cr.) Online may be available
Course description
Computational techniques for analysis and inference from data. Python language programming. Elementary numerical optimization and statistical data analysis. Computational methods for clustering, dimensionality reduction, classification, regression, and time series analysis. Construction, training, and utilization of deep neural networks. Application case studies using datasets arising in Electrical and Computer Engineering and Robotics.
prereq: [EE3025; MATH 2263 or 2374; MATH 2142, 2243, 2373 or CSCI 2033] or instructor consent.
prereq: [EE3025; MATH 2263 or 2374; MATH 2142, 2243, 2373 or CSCI 2033] or instructor consent.
Minimum credits
3
Maximum credits
3
Is this course repeatable?
No
Grading basis
OPT - Student Option
Lecture
Credit will not be granted if credit has been received for:
03151
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Every Fall