Download syllabus-CPE341-Applied Probability and Queuing Theory

Jordan University of Science and Technology
Faculty of Computer & Information Technology
Computer Engineering Department
CPE 341 Applied Probability and Queuing Theory
Spring 2009-2010
Course Catalog
Probability principles and sets theory; random variables; operations on random variables; various distribution
functions; introduction to random processes; weak stationary; correlation functions, linear processing, and
estimation; Poisson processes and Markov chains; queuing analysis
Text Book(s)
Title
Author(s)
Publisher
Year
Edition
Probability, Random Variables, and Random Signal Principles
Peyton Z. Peebles
McGraw-Hill
2000
Fourth Edition
References
Books
Internet Links
1. Introduction to Probability, Dimitri P. Bertsekas and John N. Tsitsiklis, 2nd Edition, Athena
Scientific
2. Introduction to Discrete Event Systems, Christos G. Cassandras and Stéphane Lafortune,
2nd Edition, Springer
http://elearning.just.edu.jo/
Instructors
Instructor
Office Location
Office Phone
Email
Dr. Ahmad Al-Hammouri
E2 L2 (Next to Nuclear Engineering Department)
7201000 Ext. 22619
[email protected]
Class Schedule and Room
Section 1:
Time: Sundays, Tuesdays, and Thursdays 9:15–10:15am
Room: C3018
Section 2:
Time: Sundays, Tuesdays, and Thursdays 1:15–2:15pm
Room: C2006
Office Hours
Sundays, Tuesdays , and Thursdays: 10:15–11:15pm
Tuesdays: 11:15–12:15
Mondays: 9:15–10:15 am
Wednesdays: 2:15–3:15 pm
Teaching Assistant
Eng. Ismail Khater
Cell Phone: 078-632-1240
E-mail: [email protected]
Prerequisites
Prerequisites by course
MATH 203: Ordinary Differential Equations
Topics Covered
Topic
Review of set definitions and set operations
Probability introduced through set theory and relative frequency
Joint and conditional probability, independent events, combined
experiments, and Bernoulli trials
The random variable concept, the density function, and the distribution
function
The Gaussian, the Binomial, the Poisson, the Uniform, and the
Exponential random variables
Conditional density and distribution functions
Expectation and moments of one random variable
Transformation of a random variable of one random variable
Joint distribution and its properties, and joint density and its properties
Statistical independence and distribution and density of a sum of random
variables
Expected value of a function of multiple random variables, and joint
moments, correlation and covariance of random variables
Random processes and the Poisson process
Continuous –time Markov chains, Birth-death process and steady-state
behavior
Queuing systems, single-server queuing systems, steady-state analysis,
Little’s formula, and performance metric calculations.
Chapter in Text
1.1, 1.2
1.3
1.1, 1.7
2.1 – 2.3
2.4, 2.5
2.6
3.1, 3.2
3.4, 3.5
4.1 – 4.3
4.5 – 4.6
5.1
6.1, 6.2, and class notes
Class notes
Class notes
Week(s)
1, 2
2, 3
3, 4
5
6, 7
7
8, 9
9
10, 11
11
12
13
14
15
Assessment
Method
Mapping of Course Objectives to Program Outcomes
1. To develop the logical basis of probability theory (ILO 1, ILO 5)
2. To master the mathematical foundations and tools of probability theory (ILO 1, ILO 5)
3. To develop skills necessary to solve practical problems in probability (ILO 1, ILO 5)
4. To develop skills necessary to solve practical problems in random processes and
queuing theory (ILO 1, ILO 5)
Quizzes and Exams
Quizzes and Exams
Quizzes and Exams
Quizzes and Exams
Relationship to Program Outcomes (Score out of 5)
ILO 1
ILO 2
ILO 3
ILO 4
4
ILO 5
ILO 6
ILO 7
ILO 8
ILO 9
ILO 10
ILO 11
ILO 12
5
Relationship to Program Objectives
CPEO 1
CPEO 2
CPEO 3
CPEO 4
CPEO 5
CPEO 6
X
Evaluation
Assessment Tool
Midterm Exam #1
Expected Due Date
To be Scheduled by the Department (14–25/3)
Weight
25%
Midterm Exam #1
To be Scheduled by the Department (18–29/4)
25 %
Quizzes
To be announced in class
10 %
Final Exam
To be Scheduled by the Registrar (6–16/6)
40%
Policies
Teaching and
Learning Methods
Makeup Exams
Cheating
Attendance
Other classroom
policies
Drop Date
 Class lectures, lectures notes, quizzes, and assignments are designed to achieve the
course objectives.
 Students are expected to read the material as detailed in the textbook, complete the
assignments/projects on time, and to participate in class.
 The course web page is the primary source of information such as class notes, assigned
readings, course announcements, and HW assignments.
Makeup exam should not be given unless there is a valid excuse.
Will not be tolerated and standard JUST policy will be applied.
 Excellent attendance is expected.
 JUST policy requires the faculty member to assign ZERO (35%) if a student misses 10%
of the classes that are not excused.
 Attendance will be taken by calling or sign-in sheets will be circulated.
 If you miss a class, it is your responsibility to find out about any announcements or
assignments you may have missed.
Be considerate to others: avoid coming to class late, leaving early, and talking to other
students. Please turn off your cell phone before the class starts.
Last day to drop the course is before the twelfth (12 th) week of the current semester.
Last Modified by: Dr. Ahmad T. Al-Hammouri
Date: 11/2/2009