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Course List

History & Theories of Architecture

Course outcomes:

a. Knowledge and Understanding:

1- 1.1) Understand data types, how data should be sampled, tabulated and graphed.
2- 1.2) Comprehend frequency distributions and different graphical techniques.
3- 1.3) Differentiate between descriptive and inferential statistics

b. Intellectual Skills:

1- 3.1) Analyze problems and design problem solving techniques.
2- 3.2) Compare and examine observational studies.
3- 3.3) Analyze data using graphs Construct a frequency distribution, histogram, pie chart and a scatter plot.

c. Professional and Practical Skills:

1- 2.1) Select the right sample, distinguishing between random and nonrandom sampling.
2- 2.2) Select the appropriate law of probability to use in solving problems.
3- 2.3) Compute the mean, median, mode, percentile, quartile, range and variance on grouped and ungrouped data.
4- 2.4) Distinguish between discrete distribution and continuous distribution.
5- 2.5) Experiment probability theory and rules.

d. General and Transferable Skills:

1- 4.1) Enhance critical thinking and innovation.
2- 4.2) Abstract reasoning, methodological knowledge and technical know-how.

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