This

**preview**has**blurred**sections. Sign up to view the full version! View Full DocumentELEC 2600:
Probability and Random Processes in
Engineering
1
Spring 2012
Instructor: Prof. Jun ZHANG
Office: Rm 2448 (Lift 25-26)
Tel: 2358 7050
Email: eejzhang@ust.hk
Webpage: http://www.ece.ust.hk/~eejzhang/

Elec2600 Lecture 1
2
Elec 2600: Lecture 1
•
Course Details
•
Models in Engineering
Their role
Types of models
•
Relative Frequency
•
Packet Voice Transmission Example
•
Axiomatic Approach to Probability
•
An Interesting Problem – Winning an iPad

Elec2600 Lecture 1
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Course Details
•
Weekly schedule
•
2 lectures per week (Wed and Fri 4:30pm – 5:50pm, Rm 3008, Lift 3-4)
•
2 tutorials per week (Each student only needs to attend one)
• Wed 12:00pm – 12:50pm, Rm 4504, Lift 25-26
• Tue 6:00pm – 6:50pm, Rm 4504, Lift 25-26
•
Grading:
•
Homework (20%)
•
Mid-Term (30%)
+
Final (50%)
•
There will be 4 homework assignments
•
Each worth 5%
•
Details of
homework submission procedures
and
late penalties
on
website (see next slide)

Elec2600 Lecture 1
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Course Details
•
Website
•
http://course.ee.ust.hk/elec2600/
•
Textbook:
•
Probability, Statistics and Random Processes for Electrical Engineering
,
Alberto Leon-Garcia, Addison Wesley, 3
rd
ed., 2009.

Course Details
•
Course Structure
•
Part I: Basic probability theory. (~2-3 weeks)
•
Part II: Single random variables. (~3-4 weeks)
•
Part III: Multiple random variables. (~5 weeks)
•
Part IV: Stochastic processes. (~3 weeks)
•
Objective of the course
•
Basic concepts of probability theory required to
understand
probability models used in engineering.
•
Basic techniques required to
develop
probability models.
Elec2600 Lecture 1

Elec2600 Lecture 1
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Course Details
•
Instructional Assistant
•
ZHANG Xuning,
eexuning@ust.hk
•
Teaching Assistants:
CHEN Shibo,
schenab@ust.hk
SHI Yuanming,
yshiac@ust.hk
LI Tian,
tli@ust.hk
PANG Jiahao,
jpang@ust.hk
•
Office location and consultation hours will be posted on website
•
TAs are there to help you – PLEASE USE THEM!

Elec2600 Lecture 1
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Elec 2600: Lecture 1
•
Course details
•
Models in Engineering
Their role
Types of models
•
Relative Frequency
•
Packet Voice Transmission Example
•
Axiomatic Approach to Probability
•
An Interesting Problem – Winning an iPad

Elec2600 Lecture 1
8
Modelling
•
In engineering as well as in daily life, we are faced with choices
•
Our decisions are based on our belief – our model – of how things will
behave
•
A
model
is an approximate representation of a physical situation which
attempts to explain observed behavior
•
Good models
are simple and understandable
predict all
relevant
aspects of the situation
•
Models can help us avoid costly (in time and money)
experimentation

Elec2600 Lecture 1
9
Mathematical and Computer Simulation Models
•
Mathematical model
•
A set of assumptions about how a system or physical process works.

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