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====== EECS 965 Course Schedule ======

===== Spring 2013 =====

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==== Detailed Schedule ====

^  Date     ^  Topic     ^  Assignment  ^
|01/22/2013    |Lecture 1: course objective and review of probability|         |
|01/24/2013    |Lecture 2: review of vector space and matrix analysis|         | 
|01/29/2013    |Lecture 3: introduction to statistical signal processing|      |
|01/31/2013    |Lecture 4: binary hypothesis testing|                          |
|02/05/2013    |Lecture 5: Bayesian hypothesis testing and Neyman-Pearson hypothesis testing|Homework 1 is assigned.|
|02/07/2013    |Lecture 6: minimum variance unbiased estimation|               |
|02/12/2013    |Lecture 7: Cramer-Rao lower bound (CRLB)|Homework 1 is due, Homework 2 is assigned.|
|02/14/2013    |Lecture 8: general CRLB for singlas in white Gaussian noise|   |
|02/19/2013    |Lecture 9: linear models| Homework 2 is due, Homework 3 is assigned.|
|02/28/2013    |Lecture 10: system identification problem| Homework 3 is due.|
|03/05/2013    |Lecture 11: general minimum variance unbiased estimation|    |
|03/07/2013    |Lecture 12: best linear unbiased estimator (BLUE)|           |
|03/12/2013    |Lecture 13: maximum likelihood estimation (MLE)|             |
|03/14/2013    |Lecture 14: least square estimation (LSE)|                  |
|03/26/2013    |Lecture 15: geometric intepretation, order-recursive and sequential LSE| Homework 4 is assigned.|
|03/28/2013    |Lecture 16: constrained LSE and nonlinear LSE|   |
|04/02/2013    |Lecture 17: methods of moments| Homework 4 is due.  |
|04/04/2013    |Lecture 18: review of classic estimation|  |
|04/09/2013    |Mid-term exam.|  |
|04/11/2013    |Lecture 19: Bayesian estimation| |