Machine Learning Minor

The minor in Machine Learning prepares graduates for careers or graduate study in the area of Machine Learning. As every industry, not limited to the computing industry, is adopting some sort of technology related to machine learning and artificial intelligence, this minor program allows undergraduates to master the core principles of this field.

The Machine Learning minor program is intended for students majoring in computer science, computer engineering, and electrical engineering.

Minor Requirements:

The minor consists of 15 credit hours as follows.

Complete core curriculum (3 hours)

COSC 425 - Introduction to Machine Learning

Select four courses (12 hours):

COSC 420 - Biologically-Inspired Computation
or
COSC 527 Biologically-Inspired Computation 3 Credit Hours
COSC 421 - Computational Cognitive Neuroscience
or
COSC 521 Computational Cognitive Neuroscience 3 Credit Hours
COSC 423 - Introduction to Artificial Intelligence
COSC 426 - Introduction to Data Mining and Analytics
or
COSC 526 Data Mining 3 Credit Hours
COSC 424 - Introduction to Deep Learning
or
COSC 525 Deep Learning 3 Credit Hours
COSC 429 - Special Topics in Artificial Intelligence and Machine Learning
ECE 414 - Introduction to Reinforcement Learning
or
ECE 517 Reinforcement Learning 3 Credit Hours
COSC 445 - Fundamentals of Digital Archeology
or
COSC 545 Fundamentals of Digital Archeology 3 Credit Hours
COSC 453 - Data Visualization
or
COSC 557 Visualization 3 Credit Hours

Undergraduates

Graduate Students

Machine Learning Minor

Minor Requirements:

Complete core curriculum (3 hours)

Select four courses (12 hours):