ELEN E6711 Stochastic Models in Information Systems

Course Benefits

Professor Lazar

Applicable Degree Programs

Most courses 4000-level and above can be credited to all degree programs. All courses are subject to advisor approval.
Lecturer/Manager Professor Aurel A. Lazar
Office hours: Wednesdays and Fridays, 11:00 AM - 12:00 PM EST
Office phone: +1 212 854 1747
Email address: aurel "at" ee.columbia.edu
Class Web Site: Offered by the COMET Group
Mailing list:
Teaching assistant: Eftychios-Aristodimos Pnevmatikakis
TA office phone: ---
TA Email address: eap2111 "at" columbia.edu
TA office hours: Fridays, 11:30 AM - 1:30 PM, 1247 Mudd
Recitation:---
Day and time: Mondays and Wednesdays, 9:10 - 10:25 AM
Class location: 545 SW Mudd
Credits for course: 4 1/2 points
Prerequisites: An undergraduate level course in probability theory (e.g., Statistics-IEOR W3658) or the instructor's approval. Familiarity with abstract models and reasoning as they arise in EE and CS is helpful.
Description: Probability Review, Discrete-Time Markov Models, Recurrence and Ergodicity, The Structure of Hidden Markov Models, Continuous-Time Markov Models, Gibbs Fields.
Required text(s): Pierre Bremaud, Markov Chains, Gibbs Fields, Monte Carlo Simulation, and Queues, Springer-Verlag, New York, 1999.
Reference text(s): Erhan Cinlar, Stochastic Processes, Prentice-Hall, Englewood Cliffs, NJ, 1975.

Homework(s): 4-6 problems each week.
Paper(s): ---
Project(s): ---
Midterm exam: Monday, October 25, 2004, 9:00-10:30 AM.
Final exam: Monday, December 13, 2004, 9:00 AM - 12:00 PM.
Grading: Homeworks 1/6, midterm 1/3, final 1/2.
Hardware requirements: ---
Software requirements: ---
Homework submission: Mondays at 12:00 noon.

Overview Outline Midterm Final FAQ