5-1 Two Discrete Random Variables
In previous chapters, we studied the probability
distributions of a single random variable.
Sometimes it is useful to study more than one random
variable in a random experiment.
Example: transmitted signals
X= the numb
Chapter 4:
Continuous Random Variables and
Probability Distributions
1
4-1 Continuous Random Variables
Continuous random variables- variables that can assume any
value in some range and infinite values within that range
Examples:
Measurement of current i
Part II
Chapter 2: Probability
1
2-2 Interpretations and Axioms of Probability
Introduction
Relative frequency of corrupted pulses sent over a
communications channel.
2
Interpretations of Probability
Equally Likely Outcomes
3
2-4. Conditional Probability
Chapter 3:
Discrete Random Variables and
Probability Distributions
3 Definitions
3-1 Probability Distributions, Discrete Random Variable
3-2 Probability Density Functions (PDF)
3-3 Cumulative Distribution Functions
3-4 Mean Value, Standard Deviation: Vari
Covered Topics
9-1 Hypothesis Testing
9-1.1 Statistical Hypotheses
Statistical hypothesis testing and confidence interval
estimation of parameters are the fundamental methods used
at the data analysis stage of a comparative experiment, in
which the engine
6-1 Numerical Summaries
Definition: Sample Mean
6-1 Numerical Summaries
Example 6-1
Fulcrum
The sample mean as a balance point for a system of weights
6-1 Numerical Summaries
Population Mean
For a finite population with N measurements, the
mean is
The sam
Chapter 2: Probability
1
Review of Set Theory
Definition: A set is any collection of objects, things or states
We use capital letters , e.g. A, B, etc, to represent sets
One way to describe a set is to list the whole collection of members or elements
and
7-1 Introduction
The field of statistical inference consists of those
methods used to make decisions or to draw conclusions
about a population.
These methods utilize the information contained in a
sample from the population in drawing conclusions.
Stat
Covered Topics
8-1 Introduction
In the previous chapter we illustrated how a parameter can
be estimated from sample data. However, it is important
to understand how good is the estimate obtained.
Bounds that represent an interval of plausible values for
GENG200
Probability and Statistics for Engineers
Fall 2014
Dr. Ridha Hamila
1
Course Information
Instructor: Dr. Ridha Hamila
Office: H225, Corridor 7 (Male Building)
E-mail: hamila@qu.edu.qa
Office Hours: Monday, Wednesday 13:45 - 14:15 or by appointment
Reliability Engineering
Lecture Series 3 - Failure Mode and Effects Analysis
(FMEA)
Everything that can
fail, shall fail!
C. Ebeling, Intro to Reliability & Maintainability
Engineering, 2nd ed. Waveland Press, Inc. Copyright
2010
Failure Mode and Effects
Reliability Engineering
Fall 2016
Lecture series 2
Elements of Reliability
Complexity and Reliability
Chapter 1
2
Government Regulations
Food and Drug Act
Flammable Fabrics Act
Federal Hazardous Substance Act
National Traffic and Motor Vehicle Safety
Reliability Engineering
Fall 2016
Tutorial 1 Reliability Applications
Chapter 1
C. Ebeling, Intro to Reliability & Maintainability Engineering,
2nd ed. Waveland Press, Inc. Copyright 2010
1
Example 1
A company manufactures small motors for use in househol
Last portion of chapter 2
PLEASE note that this is a very basic
material which your book does not cover.
But without this basic understanding you
will find it difficult to develop the concepts
Today we will discuss about
IS0-9000
BASICS which your book do
Systematic layout planning:
a study on semiconductor
wafer fabrication facilities
Taho Yang
Study on wafer
fabrication
facilities
1359
National Cheng Kung University, Tainan, Taiwan
Chao-Ton Su and Yuan-Ru Hsu
National Chiao Tung University, Hsinchu, Taiw
Facilities Planning and
Design
IENG 310
In Class-Simulation
In Class-Simulation
Write a message
Fold the paper
Inserting it into the envelope
Seal the envelope
Stamp the envelope
1-Flowshart the process
2-Calculate most common performance measures (s
FACILITIES PLANNING
& DESIGN
IENG 310
Fundamental Principles
of Facilities Planning and Design
Todays Goals
Manufacturing Systems Concepts
Types of Factory Layouts
Manufacturing Systems Concepts
Product Design
Process Planning
Manufacturing Operations
Systematic Layout Planning
Flow, Space, Activity
Relationships
Plant Layout Procedure
n Program Description
1. The program uses as input an activity
relationship chart and departmental area
requirements
2. From the relationship matrix, a closeness rank is
Product, Process, and
Schedule Design:
Part III Schedule Design
1
Schedule Design
How much to produce (lot sizing) and when to produce (production
scheduling)
Information concerning production volumes, trends, and
predictability of future demands are ne
Product, Process, and
Schedule Design
Spring 2016- Dr. Adel Elomri
Agenda
Introduction
Product Design
Process Planning
Schedule Design
Layout planning
Facilities Planning Process
Manufacturing and Assembly
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
Define the p
Facilities Planning and Design
IENG 310
In Class-Simulation
For Next Lecture
In Class-Simulation
Write a message
Fold the paper
Inserting it into the envelope
Seal the envelope
Stamp the envelope
1-Flowshart the process
2-Calculate most common perfor
OPERATIONS RESEARCH
IENG 331
Spring 2016
Andrei Sleptchenko
Topic 5.
Optimization Algorithms for certain
types of IP problems.
2/34
What is Dynamic Programming?
Example
Suppose you want to find the shortest
route from Ras Laffan to Mesaieed.
First you cou
OPERATIONS RESEARCH
IENG 331
Spring 2016
Andrei Sleptchenko
Topic 6.
Complexity of the optimization Algorithms
2/10
Complexity of the Optimization
algorithms
3/10
Run-Time analysis
and Big-O notation
Run-time analysis estimates the increase in running tim
Refer to:
Textbook Ch.10 and 11 (Partially, Ch. 4 & 5)
Reference material
Topic 4
Human systems, anthropometry,
and workspace designs
Human subsystems
The skeletal systems of human body
Injuries and disorders
Anthropometry
Design principles
CHOE, Pilsun
Refer to:
Textbook Ch.6, Ch.4
Topic 5
Human cognition:
Information processing and memory
Information processing
Attention
Perception
Memory
Situation Awareness
Other implications in workplaces
CHOE, Pilsung
Mechanical and Industrial Engineering
Qatar Uni
Refer to:
Textbook: Ch.14
Posted reference
Topic 2 & 3
Hazard and safety
Safety management
Hazard
Health vs. safety
Human error
CHOE, Pilsung
1
Mechanical and Industrial Engineering
Qatar University
Intro.
Hazards in workplace lead:
Safety problems
9/23/2016
Project Engineering Week 2
Shaligram Pokharel, PhD
Professor
Department of Mechanical and Industrial Engineering
Qatar University
2016
How is a project done?
Recap
Project is a unique endeavor (effort) that needs to
be started when there are pr
Ergonomics and Safety
Engineering
Pilsung Choe
PhD, Associate Professor
Department of Mechanical and Industrial Engineering
Qatar University
CHOE, Pilsung
1
Mechanical and Industrial Engineering
Qatar University
Refer to:
Textbook. Ch.1
Reference materi