Industrial and Systems Engineering, Ph.D. Student Learning Outcomes

College	Engineering and Engineering Technology
Major	Industrial and Systems Engineering
Degree	Ph.D.
Date Revised	2017

Student Learning Outcomes and Proposed Methods for Collecting Data (from Assessment Plan)

Advanced Knowledge: Master advanced concepts, methods, and technologies in industrial and systems engineering thrust areas.
Methods: Understand and apply research methodologies to relevant industrial and systems engineering questions, issues, and problems.
Research: Conduct independent research that results in an original contribution to knowledge that meets all the standards for responsible conduct of research.
Ethics: Demonstrate knowledge and understanding of ethical standards in executing research.
Communication: Communicate research to both technical and general audiences in an effective manner through oral and written formats.

Linear Programming and Network Flows (ISYE 671) (1, 2)
Ph.D. Candidacy Examination (2)
Industry Residency (ISYE 701) (3-5)
Dissertation Proposal Examination (1- 5)
Dissertation Report and Defense (1-5)
Research Committee Meetings (1-5)
Doctoral Dissertation Research (ISYE 799) (1-5)

AAE updated September 2019

Accreditation, Assessment and Evaluation
Swen Parson 316
aae@niu.edu