IE 598

Fall 2012 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.

Approved for both letter and S/U grading. May be repeated in the same or separate terms if topics vary.

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IE 598 class schedule data for fall 2012
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	60476	Lecture-Discussion	SO	2:00PM -3:15PM	TR	204 Transportation Building	Oh, S	Part of Term: 1 Date Range: 08/27/12-12/12/12 Credit: 4 hours Section Title: Inference in Graphical Models Section Info: Introduction to statistical inference with probabilistic graphical models and low-complexity inference algorithms. In particular, we will treat the following methods: message-passing algorithms, belief propagation, loopy-belief propagation, variational methods, Markov chain Monte Carlo methods, learning structure. Applications and examples will include: Gaussian models, linear dynamical systems and hidden Markov models (forward-backward algorithm, Kalman filtering, Viterbi algorithm), computer vision, and machine learning (clustering, classification).
	59930	Lecture-Discussion	SOP	ARRANGED	n.a.	Location Pending	Kizer, M	Part of Term: 1 Date Range: 08/27/12-12/12/12 Credit: 1 hours Section Title: Scholars of Practice