DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Probability and Statistics
(ENGR 371, Section FF, Fall 2010)
Instructor
Dr. Yousef R. Shayan, Room EV 5.161
Tel.: (514) 848-2424 ext. 3076
e-mail: yshayan@ece.concordia.ca
Office hours: Wednesdays 14:00-16:00
Lectures
Mondays 17:45-20:15 in H435
Extra review lectures if required:
Wednesday Oct. 13th (20:30 - 23:00)
Tuesday Dec. 7th (17:45 - 20:15)
Tutorials
Section FA: Tuesdays 17:45-18:35, Room OS-303
Section FB: Wednesdays 17:45-18:35 , Room OS-303
Section FC: Wednesdays 18:45-19:35 , Room OS-303
Tutorials will start on Tuesday Sept. 14th.
Course Website
www.ece.concordia.ca/~yshayan
Username: P&S
Password: to be provided
Course Description
Prerequisites: ENGR 213 and ENGR 233
Axioms of probability theory. Events. Conditional probability. Bayes theorem. Random variables. Mathematical expectation. Discrete and continuous probability density functions. Transformation of variables. Probabilistic models, statistics, and elements of hypothesis testing (sampling distributions and interval estimation). Introduction to statistical quality control. Applications to engineering problems.
Text Book
D. C. Montgomery and G. C. Runger, "Applied Statistics and Probability for Engineers," Edition 5, Wiley 2010. (Chapters 1 to 9, inclusive)
Additional References: Any text on probability and/or statistics can serve as a reference. There are a large number of them available at the Concordia University Library.
Course Objectives This course is designed to equip the students with a working knowledge of probability, statistics, and modeling in the presence of uncertainties. Another objective of the course is to help the students to develop an intuition and an interest for random phenomena, and to introduce both theoretical issues and applications that may be useful in real life.
Graduate attribute
There will be an emphasis on the attributel to identify, formulate and solve engineering problems in this course. Students should be able to take an engineering problem and then formulate from it the underlying mathematical, scientific or engineering science problem. In the lectures, students will learn how to formulate the mathematical problems from practical examples. Students practice this soft skill by solving some engineering problems in the homework assignments. It will also be examined by including it into exam questions.
Tutorial Sessions
There will be one hour tutorial per week. During these tutorials, tutors will be solving some of the problems from assignments or the list of suggested problems. It is not compulsory to attend these tutorials, but they are highly recommended.
Assignment (10%)
There will be six assignments which are to be answered and delivered to the mailbox of the instructor before the due time. The lowest grade assignment will not be considered for overall grading. Solutions will be provided after the due date. Please note that with each assignment a signed " expectations of originality form " should be submitted.
Midterm Exams (40%) There will be two c losed book exams related to material covered up to the exam date. Each of these exams will have value of 20%. Students not participating in the midterm exam will receive zero for their midterm grade. If a student has legitimate reason not to attend the midterm exam, should immediately inform the instructor (either before or immediately after the exam).
Date and location for these exams are as follows: Midterm Test I: Sunday Oct. 17 th (14:30 - 16:00)
Midterm Test II: Sunday Nov. 21 st (14:30 - 16:00)
Final Exam (50%) There will be a comprehensive exam related to the material of the whole course which is closed book. Time and location of the exam will be announced by the University.
Passing Grade To pass the course, you should get at least 50% in the overall grade.
Academic Code of Conduct All Concordia University students must abide by the University's code of conduct which can be found in section 17.10 of Concordia University Undergraduate Calendar.
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