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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- Give basic definitions. 2- Use standard method to deal with various techniques of integration. 3- Random variables, distribution functions, estimaion , siginficance 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

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Mathematics, Statistics & Computers

Course outcomes:

a. Knowledge and Understanding:

1- Define and distinguish between various statistical theories
2- Apply those theories and discuss some concepts dealing with these theories

b. Intellectual Skills:

1- All subjects concerned with statistical theories illustrate a
2- The student should be able to deal with statistical techniques

c. Professional and Practical Skills:

1- Application of statistical theories
2- Clarify some properties and concepts touching those fields

d. General and Transferable Skills:

1- Ability of dealing with theories and distinguishing various methods
2- Ability of presenting a method to give an application to some theory

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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 8 4 4
Confidence Intervals and Sample Size : Confidence Intervals for the Mean when Standard deviation is know , Good Estimator 4 2 2
Solve problems : Using Statistical Program e.g.: Minitab and Excel programs 8 4 4

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Mathematics, Statistics & Computers

Teaching And Learning Methodologies:

Teaching and learning methods
Presentation to students in classrooms.
Direct study of notes or books.
Solving problems in practical hours.

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Mathematics, Statistics & Computers

Course Assessment :

Methods of assessment Relative weight % Week No. Assess What

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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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