Chapter 6
4th Order Runge Kutta
Open
At the end of the chapter you will be able to:
Open
To solve initial value problems for ODE using
i.
Eulers Method
ii.
Heun Method
iii.
4th Order Runge Kutta
2
4th
Chapter 7
PDE
Open
1
Learning Objectives
At the end of the chapter, the student will be able to :
1. Solve the heat equation by using finite difference methods
(Explicit and Implicit methods) and Cran
Chapter 7
PDE
Open
1
Learning Objectives
At the end of the chapter, the student will be able to :
1. Solve the heat equation by using finite difference methods
(Explicit and Implicit methods) and Cran
Chapter 1
Basic Probability
Week 2
Lecture 5:
Multiplicative Law
Total Probability Theorem
Bayes Theorem
Nov 5, 2017
1
Learning Objectives
Apply multiplicative law to fine probability of certain
event
Chapter 1
Basic Probability
Week 2
Lecture 4: Basic Probability Laws:
Conditional Probability;
Independent Events;
Nov 5, 2017
1
Learning Objectives
Understand and apply probability properties to
calc
Chapter 1
Basic Probability
Week 1
Lecture 2:  Probability of Events
 Counting Rule
Nov 5, 2017
1
Learning Objectives
At the end of the session student should be able to:

Determine the probability
InSitu combustion for EOR
Naeem Deen Sonny
School of Engineering Geoscience, Infrastucture and Society
Petroleum Engineering
HeriotWatt University Malaysia
Introduction
Insitu combustion is the old
Tutorial 6
1. A civil engineer is analyzing the compressive strength of concrete. Compressive strength
is approximately normally distributed with variance, 2 = 1000psi2. A random sample of
12 specimen
Chapter 5
Random Sample
Central Limit Theorem
Week 7
September 2013
1
Week 5 :
Learning Outcomes:
At the end of the lesson student should be able to
 Describe the terms random sample, statistics
and
Tutorial 8
1.
UTP wishes to compare four programs for training staff to perform a certain task. Twenty new
staffs are randomly selected to the training programs, with 5 in each program. At the end of
Tutorial 2
1.
Find the mean, median and mode for the following observations:
2.3 3.6 2.6 2.8 3.2 3.6 4.3 5.2 6.9 2.8 3.6
Solution:
The mean = 3.72
The median = 3.6
The mode = 3.6
2.
The following data
Tutorial 1
1.
The compact discs from a certain supplier are analyzed for scratch and shock resistance.
The results from 100 discs tested are summarized as follows:
High
Medium
Low
Shock
Resistance
Scr
Tutorial 7
1.
Regression methods were used to analyze the data from a study investigating the relationship
between roadway surface temperature (xoC) and pavement deflection (y). The data follow.
Tempe
Tutorial 4
1.
The probability of successfully landing a plane using a flight simulator is given as 0.70. Nine
randomly and independently chosen student pilots are asked to try to fly the plane using t
Tutorial 5
1.
Let X denote the number of flaws in a 1 in length of copper wire. The pmf of X is given in the
following table
X=x
P(X=x)
0
0.48
1
0.39
2
0.12
3
0.01
100 wires are sampled from this popu
CHAPTER 4
CONTINUOUS PROBABILITY
DISTRIBUTION
Week 6Normal Distributions
L2 Nonstandard
And other continuous distributions
September 2013
Learning Objectives:
At the end of the lecture, you will be a
Chapter 8
Regression Analysis
Week 11
L1 Simple Linear Regression:
Least squares method,
Methods to Assess the Model
Lecture 1
Learning Outcomes:
At the end of the lesson, the student should be able t
Chapter 1
Basic Probability
(Week 1)
L1 Introduction to Basic Probability Sample Spaces and Events
Learning Objectives:
At the end of the lecture student should be able to:

Define and construct samp
CHAPTER 2
DESCRIPTIVE STATISTICS
WEEK 2
L2  Graphical display of Data
Learning Objectives:
At the end of the lesson, students should be able to:
Construct and interpret pictorial and tabular display
CHAPTER 2
DESCRIPTIVE STATISTICS
L1 Numerical Summary of Data
L2  Data Display and summary
1
Learning Objectives:
At the end of the lesson, students should be able to:

Explain the concepts of
 sa
Chapter 7
Hypothesis Testing Two
Populations
Week 10
L3:  Hypothesis Testing Between two means
(2 populations, variance unknown but not
equal)
 Hypothesis Testing Between two means
(2 populations, v
CHAPTER 4
CONTINUOUS PROBABILITY
DISTRIBUTION
Week 6Normal Distributions
L2 Nonstandard
And other continuous distributions
September 2013
Learning Objectives:
At the end of the lecture, you will be a
CHAPTER 2
DESCRIPTIVE STATISTICS
WEEK 2
L2  Graphical display of Data
Learning Objectives:
At the end of the lesson, students should be able to:
Construct and interpret pictorial and tabular display
CHAPTER 4
CONTINUOUS PROBABILITY
DISTRIBUTION
Week and
5
L1 Exponential
Normal
distribution
L2 Nonstandard Normal Distributions
And other continuous distributions
Exponential and Normal
Distribution
Chapter 6
Hypothesis Testing
Single Population
Week 9
L6  Confidence Interval for Mean,
Variance Unknown
L7  Hypothesis Test about a Proportion
and Hypothesis Test for variance
Jul 13, 2017
1
Learn
Chapter 3
Random Variable
Week 4
L2 Continuous random variable
Internal
CONTINUOUS RANDOM
VARIABLES
Learning Objectives:
At the end of the lecture, you will be able to :

describe continuous random
Chapter 3
Random Variable
Week 4
L1 Discrete random variable
L2 Continuous random variable
DISCRETE RANDOM VARIABLES
Learning Objectives:
At the end of the lecture, you will be able to :

describe
CHAPTER 2
DESCRIPTIVE STATISTICS
L1 Basic of data measurements
mean, variance and standard
deviation
1
Learning Objectives:
At the end of the lesson, students should be able to:

Explain the concept
Chapter 6
Hypothesis Testing
Single Population
Week 8
L4  Confidence Interval
L5  Hypothesis Test about the Normal
Mean, Variance Unknown
Jul 13, 2017
1
Learning Outcomes:
At the end of the lesson