CPEN 355

Machine Learning with Engineering Applications

Foundations and concepts of data science and machine learning with applications to engineering problems. [3-0-2]

Prerequisite:

ONE OF

MATH 152 – Linear Systems

MATH 221 – Matrix Algebra

AND ONE OF

MATH 318 – Probability with Physical Applications

MATH 302 – Introduction to Probability

STAT 302 – Introduction to Probability

STAT 321 – Stochastic Signals and Systems

ELEC 321 – Stochastic Signals and Systems

AND ONE OF

CPEN 221 – Software Construction I

CPEN 223 – Software Design for Engineers I

CPSC 259 – Data Structures and Algorithms for Electrical Engineers

4 credits