13M051ASS - Complex Systems Analysis
| Course specification | ||||
|---|---|---|---|---|
| Course title | Complex Systems Analysis | |||
| Acronym | 13M051ASS | |||
| Study programme | Electrical Engineering and Computing | |||
| Module | Applied Mathematics, Audio and Video Communications, Audio and Video Technologies, Biomedical and Environmental Engineering, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics, Electronics and Digital Systems, Energy Efficiency, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering, System Engineering and Radio Communications | |||
| Type of study | master academic studies | |||
| Lecturer (for classes) |
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| Lecturer/Associate (for practice) |
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| Lecturer/Associate (for OTC) | ||||
| ESPB | 6.0 | Status | elective | |
| Condition | There are no prerequsites. | |||
| The goal | The goal of the course is for students to acquire basic concepts about complex dynamical systems from the point of view of characterizing their optimality and stability. | |||
| The outcome | Students should acquire the following skills: to characterize complex systems in terms of dynamic performance, stability, and optimality; to form basic models of complex systems in the form of ordinary and stochastic differential equations; to perform stability analysis of complex systems using vector Lyapunov functions, to optimize a multi-criteria optimization criterion. | |||
| Contents | ||||
| URL to the subject page | https://automatika.etf.bg.ac.rs/sr/13m051ass | |||
| Contents of lectures | Introduction to the structures and properties of complex systems; Modeling complex systems using ordinary and stochastic differential equations; Multi-agent systems; Stability analysis of complex systems; The concept of multi-criteria optimization. | |||
| Contents of exercises | Theoretical teaching will be accompanied by practical demonstrations of complex systems using the MATLAB software package. | |||
| Literature | ||||
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| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 3 | 1 | |||
| Methods of teaching | 45 hours of lectures + 15 hours of math exercises | |||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | Test paper | 40 | ||
| Practical lessons | 60 | Oral examination | ||
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| Colloquia | ||||
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