| Course Code and Name: SEEM3410 System Simulation |
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| Course Objectives: To provide general theory, methodology and technical skills of all the important aspects of a simulation study, including input analysis, modeling, random number generating, modeling validation, output data analysis, and simulation programming. |
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| Course Outcomes: 1. Able to obtain the general theory, methodology and technical skills of all the important aspects of a simulation study, including input analysis, modeling, random number generating, modeling validation, output data analysis, and simulation programming 2. Able to describe the behavior of systems 3. Able to construct theories or hypothesis that account for the observed behavior 4. Able to use the model to predict future behavior, i.e., the effects produced by changes in the system or in its method of operation. | Programme Outcomes: (P1) The ability to apply knowledge of mathematics, science, and engineering appropriate to the degree discipline (K/S) (P2) The ability to design and conduct experiments, as well as to analyze and interpret data (K/S) (P3) The ability to design a system, component, or process to meet desired needs within realistic constraints, such as economic, environmental, social, political, ethical, health and safety, manufacturability and sustainability (K/S) (P4) The ability to function in multi-disciplinary teams (S/V) (P5) The ability to identify, formulate, and solve engineering problems (K/S) (P6) The understanding of professional and ethical responsibility (V) (P7) The ability to communicate effectively (S) (P8) The ability to understand the impact of engineering solutions in a global and societal context, especially the importance of health, safety and environmental considerations to both workers and the general public (V) (P9) The ability to recognize the need for, and to engage in life-long learning (V) (P10) The ability to stay abreast of contemporary issues (S/V) (P11) The ability to use the techniques, skills, and modern engineering tools necessary for engineering practice appropriate to the degree discipline (K/S) (P12) The ability to use the computer/IT tools relevant to the discipline along with an understanding of their processes and limitations (K/S/V) (P13) The ability to apply the skills relevant to the discipline of operations research and information technology and their applications in engineering and managerial decision making, especially in financial services, logistics and supply chain management, business information systems, and service engineering and management (K/S) K = Knowledge outcomes S = Skills outcomes V = Values and attitude outcomes |
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| Weights (in %): | ||||||||||||||
| P1 | P2 | P3 | P4 | P5 | P6 | P7 | P8 | P9 | P10 | P11 | P12 | P13 | Other | Total |
| 5% | 20% | 20% | 20% | 10% | 5% | 20% | 100% | |||||||
| Course Outcome(s) is/are measurable or not: Yes If Yes, please suggest ways to measure: This course contributes to (P1) by teaching elements of it, and giving students practice in applying them.� It could be measured by 5%. (P2) by teaching elements of it, and giving students practice in learning independently.� It could be measured by 20%. (P3) by teaching elements of it, and giving students practice it.� It could be measured by 20%. (P5) by teaching elements of it, and giving students practice in applying them.� It could be measured by 20%. (P11) by teaching elements of it, and giving students practice in applying them.� It could be measured by 10%. (P12) by giving students practice in learning independently.� It could be measured by 5%. (P13) by teaching elements of it, and giving students practice in applying them.� It could be measured by 5%. |
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