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Course List

History & Theories of Architecture

Course outcomes:

a. Knowledge and Understanding:

1- Understand probabilistic problems and statistical concepts.
2- Define basic probability distributions and know related concepts.
3- Define basic statistical tools and know related models.

b. Intellectual Skills:

1- Think logically and critically to analyze and solve problems.
2- Identify the role that statistics can play in the engineering problem-solving process
3- Ability of presenting a method to give an application to some theory.

c. Professional and Practical Skills:

1- Use basic rules of probability to solve statistical problems.
2- Identify how variability affects the data collected and used for making engineering decisions.
3- Ability of dealing with theories and distinguishing various models.

d. General and Transferable Skills:

1- The student should be able to deal with statistical package techniques and seek a connection with applied problems.
2- Professional attitude towards problem solving.
3- Ability of dealing with theories and distinguishing various methods.

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