ISE 3540 - Introduction to Machine Learning in Engineering Applications

Credit Hour(s): 3

Course Description: This introductory course provides an overview of the fundamental concepts and practical applications of machine learning in engineering. It equips students with the knowledge and skills required to leverage machine learning techniques in various engineering domains.

Prerequisite(s): (Undergraduate level CS 1160 Minimum Grade of D or Undergraduate level CS 1180 Minimum Grade of D or Undergraduate level ME 1020 Minimum Grade of D) and (Undergraduate level ISE 2211 Minimum Grade of D or Undergraduate Level STT 3600 Minimum Grade of D or Undergraduate level MTH 2570 Minimum Grade of D or Undergraduate level CS 2200 Minumum Grade of D)

Enrollment Restrictions: May not be enrolled in one of the following degrees: Intending Egr & CS, Pre_Degree. Must be enrolled in one of the following colleges: College of Egr & Computer Sci.

Course Level: Undergraduate
Schedule Type(s): Lecture
Grade Mode: Standard
Term(s) Offered: Spring
An additional fee is associated with this course.