Course Catalog 2008-2009 |
|||||
| Basic | Pori | International | Postgraduate | Open University | |
|
|
|
|||||||||||||||||
TTE-6306 Complex Systems 1, 6 cr |
N. N.
No implementations
Written examination Attendance of lectures (min. 50%) Attendance of laboratory exercises (min. 50%) and successful laboratory work
-
Introduce the field of Complex Systems with examples. Introduce and practice some of the basic tools necessary for Complex System modeling. Develop a systemic view of engineering problems and methods. Encourage systemic and skeptical thinking. Prepare students for advanced courses (e.g. ¿Complex Systems 2¿ seminar series in the spring, Agent-Based Modeling in the winter) and projects e.g. thesis work) in Complex Systems and related fields.
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Modeling complex systems with examples in various fields of science | ||
| 2. | Mathematical tools in complex systems | Fractals, iterated maps, non-linear dynamics, chaos, cellular automata, power laws, complex networks, autonomous agents, game theory, agent based modeling. | |
| 3. | Systemic view of engineering problems and methods |
Examination. Students may earn extra points for the exam with laboratory exercises.
Numerical evaluation scale (1-5) will be used on the course
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Lecture slides | Lecture slides | lecturers | English | ||||
| Other literature | Excercises | Pauli Rämö | English |
Complex Systems is a multidisciplinary research topic and a problem solving strategy that acknowledges the limitations of analytical, single-paradigm mathematical models and strategically complements them by simulations, algorithms and multi-paradigm models. This course addresses the challenges of the field by introducing a variety of analytical and simulation tools, methodologies, and some archetypes of complex systems in the form of lectures and laboratory exercises.