Graduate Courses
DSI-6210 Integer and Nonlinear Programming and Network Flow
In this course students will learn to specify and implement optimization models that solve network problems. Students will also learn how to solve integer programming (IP) problems and nonlinear programming (NLP) problems. Students will use spreadsheet-based software to specify and implement models. Graduate students enrolled in this course will complete a project/assignment that engages in higher levels of thought and creativity, requiring them to demonstrate knowledge at more advanced taxonomical levels.
Credits: 3
Offered in Sep 2024
Preview the Online Syllabus
(Please visit the University bookstore to view the correct materials for each course by semester as the contents of the actual online syllabus may differ from the preview due to updates or revisions)