EE 3360 - Statistical Methods in Electrical Engineering
Fall 2018 

Course Information

• Class Time: MWF 10:00-10:50 pm 
• Class Location: TBD
• Instructor: Dinesh Rajan 
• Prerequisite: EE 2370 Design and Analysis of Signals and Systems. 
• Textbook: Probability and Stochastic Processes : A friendly introduction for electrical and computer engineers, Roy D. Yates and David J. Goodman John Wiley and sons, Inc. 2014, ISBN 978-1-118-32456-1, 3^rd edition. 
• Class notes will be available on blackboard.  Students need to print a hard copy or bring an electronic copy to class.
• Other good references: 
1. Probability, Random Variables and Stochastic Processes, Athanasios Papoulis and S. Unnikrishna Pillai, Fourth Edition, McGraw-Hill, Inc., 2002. 
2. Intuitive Probability and Random Processes using MATLAB, Steven Kay, Springer, 2005.
• Office hours:  TBD
• Office location: 308 Junkins
  office phone: 214-768-1259
  email:rajand@lyle.smu.edu
  http://www.lyle.smu.edu/~rajand/ 

Teaching Assistant: TBA 

Help Sessions: Time TBD. There will be weekly optional session to solve additional problems. 

Grading

• Home works (30%) 
• Quizes (2 x 15 = 30%) 
• Final Exam (30%) 
• Surprise short tests (5%) – there will be a few surprise tests throughout the semester; each test will be open book/open notes and take less than 15 minutes at the beginning of class.
• Short paper/project report (5%)  

Course Description 

This course is an introduction to probability, elementary statistics, and random processes. Topics include fundamental concepts of probability, random variables, probability distributions, sampling, estimation, elementary hypothesis testing, basic random processes, stationarity, correlation functions, power-spectral-density functions, and the effect of linear systems on such processes. There will also be a few simple MATLAB exercises to illustrate the ideas in this course. 

Homeworks

To be posted on blackboard.

·      Disability Accommodations: Students needing academic accommodations for a disability must first be registered with Disability Accommodations & Success Strategies (DASS) to verify the disability and to establish eligibility for accommodations. Students may call 214-768-1470 or visit http://www.smu.edu/alec/dass.asp to begin the process. Once registered, students should then schedule an appointment with the professor to make appropriate arrangements. 

·        Religious Observance: Religiously observant students wishing to be absent on holidays that require missing class should notify their professors in writing at the beginning of the semester, and should discuss with them, in advance, acceptable ways of making up any work missed because of the absence. (See University Policy No. 1.9.)

·       Excused Absences for University Extracurricular Activities: Students participating in an officially sanctioned, scheduled University extracurricular activity should be given the opportunity to make up class assignments or other graded assignments missed as a result of their participation. It is the responsibility of the student to make arrangements with the instructor prior to any missed scheduled examination or other missed assignment for making up the work. (University Undergraduate Catalogue)

·       Student Learning Outcomes: The following ABET outcomes are applicable to this course.

            Outcome A: Ability to apply knowledge of Mathematics, science & engineering

Outcome B:  Ability to design and conduct experiments, as well as to analyze and interpret data

Outcome E: Ability to identify, formulate, and solve engineering problems

Outcome F: Understanding of professional and ethical responsibility. 

Outcome J: Knowledge of contemporary issues.

·       Final Exams:  The final exam will be held during final exam week as per the schedule given in the SMU Registrar’s webpage.

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