IE 598

Fall 2009 All Classes

All Classes

Special Topics

Credit: 1 TO 4 hours.

Subject offerings of new and developing areas of knowledge in industrial engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites.

May be repeated in the same or separate terms if topics vary.

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IE 598 class schedule data for fall 2009
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	54643	Lecture-Discussion	EZ	3:00PM -4:15PM	MW	101 Transportation Building	Zhou, E	Part of Term: 1 Date Range: 08/24/09-12/09/09 Section Info: Topic: Monte Carlo Methods; 3 hrs. This course covers some basic and advanced Monte Carlo methods. Specific topics covered include Monte Carlo integration; variance reduction techniques; Markov chain Monte Carlo (MCMC); simulation optimization; gradient estimation; and applications in telecommunication networks and finance. The prerequisites for this course are probability and statistics and computer programming experience in Matlab, R, C, Fortran, or Pasca. An integral part of the course is a project designed to address a particular problem or to investigate an advanced methodology of interest. Restriction(s): Not intended for Undergrad - Urbana-Champaign.
	52424	Lecture-Discussion	TT2	5:30PM -7:10PM	TR	245 Everitt Laboratory	Tezcan, T	Part of Term: 1 Date Range: 08/24/09-12/09/09 Credit: 4 hours Section Info: Topic: Introduction to Queuing Theory and Stochastic Network Systems. Queuing theory is the mathematical analysis of waiting lines. Applications are frequently encountered in customer service situations as well as transport and telecommunication. This course will cover the basics and some contemporary methods in queuing theory. Restriction(s): Not intended for Undergrad - Urbana-Champaign.