SYSTEMS MODELLING & SIMULATION

Course Description

The aim of this course is to give our students an important decision tool in order to design and analyse complicated real-life systems for which there is no well formulated solution. Use and misuse of simulation as a decision tool. Simulation methodology and model building. Modeling with a simulation language. Random variate generation. Basic issues in the design, verification and validation of computer simulation models. Statistical analysis of simulation output data. Use of simulation for estimation and comparison of policies. This course introduces a broad range of non-trivial techniques and approaches for modelling and simulation of dynamic engineering systems. Techniques include discrete event models; first- and second-order system models; time, frequency and state space relations; and feedback systems.

SYSTEMS MODELLING & SIMULATION

Evaluation Tools (Active Term)

Course outcomes

1. 01 Design a system, a system component, or a process to meet the requirements within realistic constraints.
2. 02 Develop a simulation model of a system and simulate the system by hand.
3. 03 Generate random variates using random numbers for a given probability distribution.
4. 04 Apply runs tests, sketch histogram, PP and QQ graphs, practice Chi-Square and Kolmogorov-Smirnov tests.
5. 05 Develop, run, verify, and validate a simulation model using Arena.
6. 06 Design and conduct experiments, as well as to analyze and interpret data

Course Syllabus

Reference Books & Course Materials

1. 01 Banks, John S. Carson II, Barry L. Nelson, and David M. Nicol, Discrete Event System Simulation, 4th Edition, Prentice Hall, 2005
2. 02 David Kelton, Randall P. Sadowski and David T. Sturrock, Simulation with ARENA, 3rd edition, McGram-Hill, 2004

Learning Outcomes

1. L01 Design a system, a system component, or a process to meet the requirements within realistic constraints. SOLO 5
2. L02 Develop a simulation model of a system and simulate the system by hand. SOLO 5
3. L03 Generate random variates using random numbers for a given probability distribution. SOLO 4
4. L04 Apply runs tests, sketch histogram, PP and QQ graphs, practice Chi-Square and Kolmogorov-Smirnov tests. SOLO 4
5. L05 Develop, run, verify, and validate a simulation model using Arena. SOLO 5
6. L06 Design and conduct experiments, as well as to analyze and interpret data 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