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Methodologies
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Applied Statistics

Course Code :
MTH 214
Level :
Undergraduate
Course Hours :
2.00 Hours
Department :
Department of Structural Engineering & Construction Management

Instructor information :

Title:Lecturer
Name: Basma Magdy Ahmed Mohamed
Office hours:-Hours

Title:Teaching Assistant
Name: Salma Motaz Fouad Ali El Sherif
Office hours:-Hours

Area of Study :

Bearing in mind modern computing systems and concentrating on the different civil engineering applications, the course will address: Reviewing methods of data presentation and analysis and the important statistical measures, Probability distributions and their applications, Sampling methods, Sample and population measures (point estimate), Tests of hypothesis and confidence limits, Correlation and regression analysis.

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

Applied Statistics

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

Applied Statistics

Course outcomes:

a. Knowledge and Understanding:

1-	a1- Explain the principals of data resentation & analysis
2-	a2- Define the main terms of statistical measures
3-	a3- List the main items of probability distributions
4-	a4- Describe the main concept of sampling methods

b. Intellectual Skills:

1-	b1- Analyze the system of data resentation & analysis
2-	b2- Calculate the values of statistical measures
3-	b3- Assess issues of probability distributions
4-	b4- Solve problems regarding sampling methods
5-	b5- Calculate the values of Sample & population measures
6-	b6- Analyze the system of tests of hypothesis & confidence limits
7-	b7- Calculate the values of correlation and regression

c. Professional and Practical Skills:

1-	c1- Prepare technical reports for correlation and regression

d. General and Transferable Skills:

1-	d1- Cooperate and communicate effectively

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

Applied Statistics

Course topics and contents:

Topic	No. of hours	Lecture	Tutorial/Practical
statistical measures	8	4	4
probability distributions	8	4	4
sampling methods	8	4	4
Sample & population measures	8	4	4
tests of hypothesis & confidence limits	8	4	4
correlation and regression	8	4	4
Revision	4	2	2
data resentation & analysis	8	4	4