Course Syllabus

ENEE 324: Engineering Probability

Sections 0301, SH01
Spring 2022

Last Updated: 2 Feb 2022
Lecture T Th 11:00am - 12:15pm, JMP 2121
Discussion

0301 & SH01: M 2:00pm - 2:50pm, JMP 2222

Required Text Roy D. Yates and David J. Goodman, Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers 3rd Edition, Wiley, 2014, ISBN-13: 978-1118324561. Available at: BookHoldersAmazon,  Campus Bookstore, and many other locations.
Required Software MATLAB: Mac Version, Windows Version ,or Linux Version (free for UMCP students) 
Prerequisites 

ENEE 222 (Elements of Discrete Signal Analysis) 
MATH 246 (Differential Equations for Engineers) 

ECE Description https://ece.umd.edu/course-schedule/course/ENEE324
Testudo Info ENEE324 Section: 0301

Instructor Info

Professor                Jonathan Z. Simon
ECE Office AVW 2145
ECE Phone 301-405-3645
Bio Office BPS 3227
Bio Phone 301-405-6812
Email jzsimon@umd.edu
WWW http://www.isr.umd.edu/Labs/CSSL/simonlab/
Teaching Assistant Faisal Hamman 
Email  fhamman@umd.edu

Office Hours

  Day Time Location
Simon  Monday 4-5:30pm Zoom Meeting ID 98499945418 Passcode ENEE324
Hamman Wednesday 1-2:30pm Zoom Meeting ID: 993 0639 7465 Passcode: ENEE324TA

Learning Objectives

  • Understand the basic rules for manipulating probability densities in the computation of event probabilities, functions of random variables and expected values
  • Understand pairs of random variables, random vectors and their marginal, joint and conditional probability distributions, conditional expectations
  • Understand concepts of correlation and independence
  • Understand sums of random variables, use of moment generating functions, central limit theorem
  • Understand how means can be estimated using the sample mean; understand confidence intervals

Topics Outline

The following topics will be addressed (order & duration tentative):

Topic
Sample space and events
Axioms of probability
Computing probabilities
Conditional probability and Independence
Sequential experiments
Random variables
Some important random variables
Functions of a random variable; expected Value
Moment generating functions
Multiple random variables
Joint, marginal and conditional probability distributions
Conditional expectation
Covariance, correlation matrices
Functions of multiple random variables
Sums of independent random variables
Central limit theorem
Sample mean
Introduction to parameter estimation via sample mean, confidence intervals

Homework 

Math is a “Learn it By Doing it” subject, and Probability is no exception. The homework assignments are one of the most important part of the course: you will not be able to succeed in the exams without doing the homeworks. You should be able to complete the assignments without significant assistance from the instructors.

Typically, homework problems will be assigned every week. It is possible that only some of the problems will be graded, but solutions will always be made available. 

All homework assignments are here on ELMS, and all completed homework assignments should be turned in 30 minutes before the beginning of class on their due date, typically on Thursdays.

Solution sets will be handed out as soon as reasonably possible after the homework is due. No credit will be given for any homework turned in after the solution set has been made available.

Some homework problems will require the use of MATLAB. Unless otherwise stated, you should submit all MATLAB commands (i.e., code) used, as well as your results.

Late Policy: First day late = 25% off, second day late = 50% off, third day late = 75% off. But please ask for an exemption if there are extenuating circumstances (e.g., medical, family crisis).


Discussion Sections

Discussion sections are run by the TA. During these classes, selected homework problems as well as other problems will be discussed, and students will have an opportunity to ask clarifying questions concerning the class material.


Drop-in Student Hours (“Office Hours”)

Both the professor and the TA reserve time every week where our schedules are clear, so that we can meet with students outside of class (we are also available by appointment outside of those times if our Office Hours conflict with your schedule). You can come talk to us for any reason: common reasons include clarifying concepts from class, preparing for an exam or quiz, or asking about some other aspect of the course.

You should also feel free to come as a group (for example, if you study with friends and many of you have similar questions or concerns about a topic). 


Quizzes

At most discussion section, students will be asked to take a written quiz wherein they will be required to solve a problem, without notes. Quiz questions are intended to be simplified versions of typical exam questions. 


Exams

  • 1st Exam: Tuesday, March 8 (Tentative)
  • 2nd Exam: Tuesday, May 3 (Tentative)
  • Final Exam: Thursday, May 12 8:00-10:00am (First day of exams)

See Grading for missed exam policies.


Grading

Homework, Quizzes, Participation, etc. 40%
1st exam 20% 
2nd exam 20% 
Final exam 20% 

In the case of a 1st or 2nd exam missed for a legitimate reason, it will be dropped and the other exam and the final will be accordingly re-weighted higher, if you give notice to the professor within 24 hours of the missed exam:

1st or 2nd exam:  30% [ = (20%/(20%+20%)) x 60%  
Final exam:   30% [ = (20%/(20%+20%)) x 60% 


You must request permission for this modified grading within 24 hours of the missed exam.

The homework with the lowest score will be dropped.


MATLAB

MATLAB is required. You will need to be able to run, and print (to pdf), MATLAB code and figures. 


Academic Honesty

Discussing homework problems, and other ideas, with others is  encouraged

but,

your final write-up must be your own work and cannot include anyone else's work.

The University of Maryland, College Park has a nationally recognized Code of Academic Integrity, administered by the Student Honor Council. This code sets standards for academic integrity at Maryland for all undergraduate and graduate students. As a student you are responsible for upholding these standards for this course. It is very important for you to be aware of the consequences of cheating, fabrication, facilitation, and plagiarism. For more information on the Code of Academic Integrity or the Student Honor Council, please visit https://www.studentconduct.umd.edu/current-students.

To be clear and explicit, academic dishonesty includes copying homework answers from any other student's or non-student's work, from any solution sets, from any book, from the web, or any other related source.

Instances of academic dishonesty will be referred to the Office of Judicial Programs.


Learning Assistance Service

If you are experiencing difficulties in keeping up with the academic demands of your courses, you should know about the Learning Assistance Service, 2201 Shoemaker Building, 301-314-7613, or http://www.counseling.umd.edu/las/. Their educational counselors can help with time management, reading, math learning skills, note-taking and exam preparation skills. All their services are free to UMD students.


CourseEvalUM 

our participation in the evaluation of courses through CourseEvalUM is a responsibility you hold as a student member of our academic community. Your feedback is confidential and important to the improvement of teaching and learning at the University as well as to the tenure and promotion process. CourseEvalUM will be open for you to complete your evaluations for two weeks near the end of the semester. Please go directly to the website http://www.courseevalum.umd.edu to complete your evaluations. By completing all of your evaluations each semester, you will have the privilege of accessing online, at Testudo, the evaluation reports for the thousands of courses for which 70% or more students submitted their evaluations.


University of Maryland Policies for Undergraduate Students

The Office of Undergraduate Studies has a guide developed to provide you with resources and information relevant to your participation in this, and any other, UMD course: Course Related Policies—Know Your Rights

 

Course Summary:

Date Details Due