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Introduction to Operations Research Semester I, 2008 |
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Upon successful completion of this subject, students should:Comprehend: the essential features of optimization problems encountered in Operations Research investigations; what kind of practical problems have these features; a number of basic mathematical techniques used to solve linear and sequential decision problems; the theoretical foundations of these techniques; the essential role that computers play in the analysis and solutions of Operations Research problems.
Have developed: basic skills required to construct formal mathematical models for practical optimization problems; skills needed to solve linear programming problems with the aid of the simplex method and to assess the results; skills to make use of the relationship between primal and dual problems and their respective optimal solutions; skills to perform sensitivity analysis of linear programming problems; skills in using dynamic programming techniques in the solution of a number of problem-areas;
Appreciate: the extent and limitations of a number of Operations Research techniques such as linear programming, dynamic programming as far as solving practical real-world optimization problems is concerned; the important role that linear algebra and calculus play in the development of these techniques; why computers are so important in solving real-world optimization problems of the Operational Research type.
Generic Skills
In addition to learning specific technical skills that will assist you in your future careers in science, engineering, commerce, education or elsewhere, you will have the opportunity to develop in this subject generic skills that will assist you whatever your future career path.
- You will develop problem-solving skills (especially through tutorial exercises) including engaging with unfamiliar problems, and identifying relevant strategies.
- You will develop analytical skills - the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of the analysis.
- Through tutorials and other interactions with fellow students, you will develop the ability to work in a team. The department distinguishes between ethical collaboration, which is strongly encouraged, and plagiarism, which is prohibited.
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