Download Syllabus

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts
Transcript
EE 3025 Spring 2009
M W F 10:10 am – 11:00 am
Lecture : Dr. A. B. (Bob) Mahmoodi
Office : 3-147A EE/CS
Office Hours : MTWF 8:30 – 9:00am
Recitation Sessions : Prof J. Kieffer
Phone : (651)736-5112 (3M)
Email : [email protected] , [email protected]
The Email from the U will come directly to the 3M Email
TA: Hao Zhu ([email protected])
Th 10-11am, F 11-12pm @ EE 2-127
Heon Hwa Cheong ([email protected])
Tu 9-11am @ EE 2-276
Grading policy :
Homework: 10% (3 problems will be randomly chosen for grading)
2 Midterms: 50% (25% each)
Final Exam: 35%
Recitation
5%
Midterm 1: Friday Feb 27th
Midterm 2: Friday April 10th
Final Exam: 1:30pm-3:30pm Wednesday, May 13
Spring break Mar 16-20th No classes
Textbook:
Probability & Stochastic Processes, by R. Yates & D.
Goodman 2nd ed.
Course Outline:

(2 weeks) Chapter 1: Introduction to Probability

(3 weeks) Chapters 2,3: Single Random Variables
Midterm I

(3 weeks ) Chapters 4,5: Multiple Random Variables

(1 week) Chapter 6 : Sums Of Random Variables

(2 weeks ) Chapters 7, 8
Midterm II


(1 week ) Chapter 9: Statistics
o Section 9.4
o Section 9.5
o Section 9.6 (MAP Estimator only)
o Section 9.7 (all except Maximum Likelihood)
(3 weeks ) Chapters 10 - 12 : Stochastic process Random
Signal Processing