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Course List

Mathematics, Statistics & Computers

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

Instructor information :

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.

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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.

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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.

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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

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Mathematics, Statistics & Computers

Teaching And Learning Methodologies:

Teaching and learning methods
Lecture
Tutorial
Work @ Lab

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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.

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Mathematics, Statistics & Computers

Books:

Book Author Publisher
Elementary Statistcs a Step by Step Apporoach A. G. Bluman McGraw Hill

Course notes :

Course notes prepared by staff

Periodicals :

web sites

Web Sites :

web sites

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