Multiobjective Programming and Planning
3.0
creditsAverage Course Rating
Public sector problems are typically characterized by a multiplicity of objectives and decision makers. This course presents a relatively new area of systems analysis which is useful for such problems: multiobjective programming or vector optimization theory. The fundamental concepts are developed and various methods are presented, including multiattribute value and utility theory. Graduate level of EN.570.418. Recommended Prerequisites: EN.570.495, EN.570.305, EN.553.361
Spring 2013
Professor: Justin Wil iams
The best aspects of this course included the class discussions and variety of topics learned in class. The worst aspects of the course included the awkward Friday class time and the complex reading material. Students felt like some of the discussions were repetitive and that the professor could have given more feedback on how they were performing in the class. The course would improve if there was more feedback on student assignments, and if there were more effective ways of engaging the students. Prospective students should have a good background in probability and statistics.