List of Courses

Information
Description
Outcomes
Contents
Methodologies
Assessment
Books

Mathematics& Statistics & Computers

Course Code :
MTH 213
Level :
Undergraduate
Course Hours :
3.00 Hours
Department :
Department of Architectural Engineering

Instructor information :

Title:Teaching Assistant
Name: Mariam Maged Kamal Eldeen Mohamed Gomaa
Office hours:-Hours

Area of Study :

1- Demonstrate knowledge about basic definitions. 2- Use standard method to deal with various techniques of integration. 3- Random variables, distribution functions, estimation, significance statistic. and softwares programs , Computer languages and Applications. 4- Some special families of univariate distributions. Joint, conditional and marginal distributions stochastic independence.

For further information :

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

Mathematics& Statistics & Computers

The course provides students with the basic concepts of Mathematical Statistics and application with Statistical Program e.g. MINITAB, and EXCEL" and to make them able to develop an understanding of mathematical Statistical concepts.

For further information :

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

Mathematics& Statistics & Computers

Course outcomes:

a. Knowledge and Understanding:

1-	Define and distinguish between various statistical theories.
2-	Define some of IT tools.

b. Intellectual Skills:

1-	Solve mathematical problems related to engineering profession.
2-	Analyze results of statistical problems.

c. Professional and Practical Skills:

1-	Apply statistical software to solve engineering problems.

d. General and Transferable Skills:

1-	Manage tasks.

For further information :

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

Mathematics& Statistics & Computers

Course topics and contents:

Topic	No. of hours	Lecture	Tutorial/Practical
Descriptive Statistic: Data Description, Frequency distributions for Categorical Data , Measure of central Tendency , and Numerical Measure of Variability , Measure of position, Exploratory Data Analysis.	12	6	6
Probability and counting: Random variables, Distribution functions, and Joint, conditional and marginal distributions, and Cumulative distribution function.	8	4	4
Discrete Probability Distribution: Mean, variance and standard Deviation	8	4	4
Important Distributions: Bin(n,p), Poisson( ), and N(, )	8	4	4
Confidence Intervals and Sample Size : Confidence Intervals for the Mean when Standard deviation is know , Good Estimator.	8	4	4
Solve problems : Using Statistical Program e.g.: Minitab and Excel programs	16	8	8

For further information :

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

Mathematics& Statistics & Computers

Teaching And Learning Methodologies:

Teaching and learning methods
Lecture
Tutorial
Work @ Lab

For further information :

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

Mathematics& Statistics & Computers

Course Assessment :

Methods of assessment	Relative weight %	Week No.	Assess What
Assignments and quizzes	20.00	1	i- Discussions in the lectures to assess the student ability to gain new information.
Attendance and Participation	10.00	1	i- Discussions in the lectures to assess the student ability to gain new information.
Final- Exam	40.00	15	i- Discussions in the lectures to assess the student ability to gain new information.
First mid-term Exam	15.00	6	i- Discussions in the lectures to assess the student ability to gain new information.
Second mid-term Exam	15.00	12	i- Discussions in the lectures to assess the student ability to gain new information.