Future University is one of most promising private universities in Egypt. Through excellence in teaching, research and service, Future University strives to provide a comprehensive, high-quality education that prepares our graduates to be future leaders.
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Course List

History & Theories of Architecture

Course outcomes:

a. Knowledge and Understanding:

1- - Explain basic paradigms in system modeling.
2- - Recognize different simulation concepts and tools.
3- - Explain concepts of verification and validation.
4- - Apply simple queuing theory to estimate discrete system behavior.
5- - Illustrate mathematical derivation of models and link this understanding to simulation results and real systems.
6- - Understand limitations of models and simulations compared to actual physical system and closed form analytical techniques
7- - Explain input, output, and operating variables as appropriate in various units
8- - Understand how to validate a simulation against a real system
9- - Understand the essential mathematics relevant to computer science.

b. Intellectual Skills:

1- - Conclude discrete simulation programs utilizing event and process oriented approach with a time scheduling mechanism.
2- - Analyze statistical data and generate random numbers of a required distribution and parameters.
3- - Estimate data inputs and outputs needed for adequate definition of a model and to compare a simulation to real system.
4- - Define traditional and nontraditional problems, set goals towards solving them, and. observe results.
5- - Perform comparisons between (algorithms, methods, techniques...etc).
6- - Create and/or justify designs to satisfy given requirements (synthesis, evaluation, application).
7- - Use modeling and simulation techniques to identify technical relationships between the inputs, output and variables and using the relationships to predict mutual changes.
8- - Interpret ways in which mathematics is being applied in motion dynamics
9- - Distinguish the different types of algorithm paradigms and evaluate when an algorithmic design situation calls for it.
10- - Criticize performance and analyze suitable usage cases.

c. Professional and Practical Skills:

1- - Establish system simulations and models appropriate to efficient scientific practices.
2- - Communicate effectively by oral, written and visual means.
3- - Perform independent information acquisition and management, using the scientific literature.
4- - Specify, design, and implement computer-based systems.
5- - Apply the principles of human-computer interaction to the evaluation and construction of a wide range of materials.

d. General and Transferable Skills:

1- - Present simulation and modeling tools to assist in finding graphical, numerical, statistical and analytic solutions to practical problems.
2- - Work in stressful environment and within constraints.
3- - Manage tasks and resources.
4- - Search for information and adopt life-long self-learning.
5- - Apply improved problem solving skills to basic real world situations
6- - Present a timeline for the project plan.
7- - Discuss the problem and how to deal with it as a data to be processed.

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