| Course Code and Name: SEEM3470 Dynamic Optimization and Applications |
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| Course Objectives: 1. Understand the principles of dynamic optimization; 2. Learn the applications of dynamic optimization; 3. Use dynamic optimization formulations to solve practical problems. |
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| Course Outcomes: 1. An ability to apply dynamic optimization formulation; 2. An ability to implement dynamic optimization procedures; 3. An ability to analyze and interpret dynamic optimization solutions; 4. An ability to identify and formulate them in the context of dynamic optimization; 5. An ability to apply the dynamic optimization techniques and use them in managerial decision making, in the context of financial services, and logistics and supply chain management. | 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 |
| 30% | 10% | 20% | 10% | 10% | 20% | 100% | ||||||||
| Course Outcome(s) is/are measurable or not: Yes If Yes, please suggest ways to measure: (P1) can be achieved classroom teaching and the homework assignments. It can be measured by homework grades. (P2) and (P5) can be achieved by giving examples in the classroom teaching, and course projects. They can be reflected by the grades of the course projects. (P8) can be achieved by the classroom lectures and by asking the students to read additional books. It can be measured by designing appropriate exam questions. (P11) can be achieved by the designing appropriate course projects for the students. It can be measured by the grades of the course projects. (P13) can be achieved by classroom teaching, and examples during the lectures. It can be measured by appropriate final exam questions. |
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