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Course List

History & Theories of Architecture

Course outcomes:

a. Knowledge and Understanding:

1- Have a working knowledge of the basic concepts of Probability
2- Statistical independence and Baye's theorem,
3- Discrete & continuous random variables,
4- Distribution functions (Binomial , Poisson and Normal distribution),
5- Reviewing methods of data presentation and analysis and the important statistical measures,
6- Sample and population measures (point and interval estimate).

b. Intellectual Skills:

1- Deal with application of statistical problems.
2- Think logically and creatively.

c. Professional and Practical Skills:

1- To gain skills in identifying and using the different Statistical rules related to this course.
2- To gain skills in constructing the Statistical laws and be able to solve the Statistical problems.
3- To gain skills to Ability to identify the problems

d. General and Transferable Skills:

1- Work effectively in team.
2- Develop skills related to creations thinking, problem solving , oral and written presentation, and team work.

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