INTRODUCTION TO MODELING & OPTIMIZATION

Course Description

By the use of mathematical models, the course will seek to design, improve and operate complex systems in the best possible way. Mathematical models are either deterministic or stochastic, depending on the nature and requirements of the system under study. This course is an introduction to deterministic modeling and optimization. The goal is to learn methods of formulating a wide variety of engineering problems and understanding solution strategies.

INTRODUCTION TO MODELING & OPTIMIZATION

Evaluation Tools (Active Term)

Course outcomes

1. 01 Formulate Mathematical/Linear Programmes
2. 02 Solve and interpret two dimensional LPs
3. 03 Interpret the results of a model
4. 04 Understand famous engineering problems in optimization
5. 05 Formulate famous engineering problems in optimization

Course Syllabus

Reference Books & Course Materials

1. 01 Wayne L. Winston, Operaion's Research: Application and Algorithms, Duxbury Press, 3rd Edition, 1993
2. 02 Taha, Hamdy A., Operations Research, Prentice Hall, 6th Edition, 1997
3. 03 Hillier, F. S., & Lieberman, G. J., Introduction to Operations Research, McGraw Hill, 2001

Learning Outcomes

1. L01 Identify (2) and describe (3) Mathematical/Linear Programmes SOLO 2.5
2. L02 Describe (3) and explain (4) how to solve and interpret two dimensional LPs SOLO 3.5
3. L03 Generalize (5) interpretation the results of a model SOLO 5
4. L04 Explain (4) famous engineering problems in 0ptimization SOLO 4
5. L05 Generalize (5) famous engineering problems in optimization SOLO 5

Program Outcomes

1. P01 Knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline.
2. P02 Ability to apply knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline to the solution of complex engineering problems.
3. P03 Ability to define complex engineering problems by using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) related to the problem addressed.
4. P04 Ability to formulate complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
5. P05 Ability to analyse and solve complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
6. P06 Ability to design creative solutions to complex engineering problems.
7. P07 Ability to design complex systems, processes, devices, or products in a way that meets present and future needs while considering realistic constraints and conditions.
8. P08 Ability to select and use appropriate techniques and resources—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
9. P09 Ability to select and use modern engineering and computational tools—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
10. P10 Ability to conduct literature research and use appropriate research methods for the investigation of complex engineering problems.
11. P11 Ability to design experiments for the investigation of complex engineering problems.
12. P12 Ability to conduct experiments, collect data, analyse results, and interpret findings for the investigation of complex engineering problems.
13. P13 Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the framework of the United Nations Sustainable Development Goals (SDGs).
14. P14 Awareness of the legal implications of engineering solutions within the framework of the United Nations Sustainable Development Goals (SDGs).
15. P15 Knowledge of ethical responsibility and adherence to the principles of professional engineering conduct.
16. P16 Awareness of acting impartially without discrimination in any matter and of being inclusive of diversity.
17. P17 Ability to work effectively as an individual.
18. P18 Ability to work effectively as a team member or leader in intra-disciplinary teams (face-to-face, remote, or hybrid).
19. P19 Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote, or hybrid).
20. P20 Ability to communicate effectively in spoken form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
21. P21 Ability to communicate effectively in written form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
22. P22 Knowledge of professional practices such as project management and economic feasibility analysis.
23. P23 Awareness of entrepreneurship and innovation.
24. P24 Ability for independent and lifelong learning.
25. P25 Ability to adapt to new and emerging technologies.
26. P26 Lifelong learning ability that includes the capacity to think critically about technological changes.

Po-Lo Matrix