Most courses 4000-level and above can be credited to all degree
programs. All courses are subject to advisor approval.
Lecturer: |
Professor Aurel A. Lazar |
|
Office hours: |
Wednesdays and Fridays, 11:00 AM - 12:00 PM, EST, Room 819 CEPSR |
|
E-mail address: |
aurel "at" ee.columbia.edu |
|
Class Web Site: |
Offered by CourseWorks |
|
Teaching Assistant: |
Eftychios-Aristodimos Pnevmatikakis |
|
TA Office Hours: |
Fridays, 11:30 AM - 1:30 PM, 1247 Mudd |
Day and Time: |
Mondays and Wednesdays, 9:10 AM - 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. |