Course
code | CB312 |
credit_hours | 3 |
title | Systems Analysis for Construction Engineers |
arbic title | |
prequisites | BA329 |
credit hours | 3 |
Description/Outcomes | Introduction to the mathematical models -The formulation of linear programming models - Solving of linear programming models using the graphical solution method - The simplex method - The transportation and assignment problems - Decision making under uncertainty, risk aversion, utility - Economic considerations for resource allocation, minimum cost model - Sensitivity analysis - changes in unit costs - changes in resource constraints. |
arabic Description/Outcomes | |
objectives | The course objective at introducing the student to the fundamentals of systems analysis and its application in construction engineering. |
arabic objectives | |
ref. books | Quantitative Techniques for Decision Making in Construction by Tang, S. L., Ahmad, I. U., Ahmed, S. M., and Ming, L. Publisher: Hong Kong University Press, Latest Edition.rnIntroduction to Operations Research by Ecker, J.G., Kupferschmid, M. Publisher: Krieger Publishing Co., Malabar, Fl., USA, Latest Edition.rn |
arabic ref. books | |
textbook | An Introduction to Management Science: Quantitative Approaches to Decision Making by Anderson, D. R., Sweeney, D. J. and Williams, T. A. Publisher: South-Western College Pub., Latest Edition |
arabic textbook | |
objective set | combined |
content set | combined |
Course Content
content serial |
Description |
1 |
Week No.1: Introduction to the mathematical models.
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2 |
Week No.2: Formulation of the linear programming models.
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3 |
Week No.3: Solving LP models using the graphical solution.
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4 |
Week No.4: Solving LP models using the simplex method.
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5 |
Week No.5: The transportation problems.
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6 |
Week No.6: The assignment problems.
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7 |
Week No.7: Utility and risk aversion - economic aspects.
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8 |
Week No.8: Utility estimation and decision making based on utility optimization. Economic aspects.
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9 |
Week No.9: Resource allowance, minimum cost models, maximum output models.
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10 |
Week No.10: The optimization of resource utilization, and formulation and solving of minimum cost and maximum output models.
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11 |
Week No.11: Resource allowance, minimum cost models, maximum output models, continued.
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12 |
Week No.12: Introduction to feasibility studies: Definitions and importance of feasibility analysis.
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13 |
Week No.13: The optimization of resource utilization, and formulation and solving of minimum cost and maximum output models.
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14 |
Week No.14: Resource allowance, minimum cost models, maximum output models, continued.
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15 |
Week No.15: The optimization of resource utilization, and formulation and solving of minimum cost and maximum output models.
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16 |
Week No.16: Final Exam.
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