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Interdisciplinary Modelling of Systems
Abbreviation: IMSLoad: 15(L) + 0(E) + 30(LE) + 0(CE) + 0(PEE) + 0(FE) + 0(S) + 0(DE) + 0(P) + 0(FLE) + 0()
Lecturers in charge: prof. dr. sc. Josip Stepanić
Lecturers: dr. sc. Jelena Ćosić Lesičar ( Laboratory exercises )
Course description: Course objectives:
Develop methods for modelling of global systems, characterised by interdisciplinarity.

Enrolment requirements and required entry competences for the course:
There are no prerequisites for this class.

Student responsibilities:
class attendance
students, who want to fulfill requirements for grade through continuous efforts during the term, need to regularly deliver the reports about work conducted during practical exercises

Grading and evaluation of student work over the course of instruction and at a final exam:
continuous, multilevel testing of knowledge and developed understanding

Methods of monitoring quality that ensure acquisition of exit competences:
analysis of written colloquia
analysis of nonstructured classes" discussions

Upon successful completion of the course, students will be able to (learning outcomes):
Know the settings and basics of the science of systems.
Competent use methods of interdisciplinary system modeling.
Active and interdisciplinary apply the fundamental features of an innovative approach to system modeling.
Extensive use principles underlying the methods of interdisciplinary system modeling.

1. Interdisciplinary approach to the description of the system, historical examples and significant results.
2. Technical and nontechnical torques in systems.
3. Exsamples of system modeling.
4. Simulations and numerical approach in system modeling.
5. Agent based modeling basics.
6. Agent based modeling advanced lectures.
7. Model validation.
8. The evolutionary elements in modeling.
9. Scenario analysis using models.
10. Analysis of institutions in modeling.
11. Analysis of collective phenomena in modeling.
12. Data collection methods for setting up the model.
13. Methods of processing the collected data.
14. Metatheoretical modeling.
15. Guidelines for the development of interdisciplinary system modeling.

1. Critical analysis of examples from the lectures.
2. Critical analysis of examples from the lectures.
3. Breinstorming techniques.
4. Breinstorming techniques.
5. Technique of thinking about systems.
6. Technique of thinking about systems.
7. Examples of causeeffect relations in the systems.
8. Examples of causeeffect relations in the systems.
9. Examples of process monitoring in systems.
10. Examples of diffusion of innovations.
11. Examples of diffusion of innovations.
12. Analysis of patent applications.
13. Analysis of patent applications.
14. Basic structure of patent application.
15. The elaboration of structure of a patent application.
Lecture languages: hr
Compulsory literature:
1. R. Fabac, J. Stepanić, ur.: With and Within complex Systems. BSR, Avellino, 2014.,
2. J.M. Epstein, R. Axtel: Growing Artificial Societies. MIT Press, Cambridge (MA), SAD, 1996.,
3. P.M. Senge: Peta disciplina. Mozaik knjiga, Zagreb, 2001.,
Recommended literature:
4. R.U. Ayres, K. Martinás: On Reappraisal of Microeconomics. Elgar, 2005.
L - Lectures
FLE - Practical foreign language exercises
E - Exercises
LE - Laboratory exercises
CE - Project laboratory
PEE - Physical education excercises
FE - Field exercises
S - Seminar
DE - Design exercises
P - Practicum
* - Not graded
Copyright (c) 2006. Ministarstva znanosti, obrazovanja i športa. Sva prava zadržana.
Programska podrška (c) 2006. Fakultet elektrotehnike i računarstva.
Oblikovanje(c) 2006. Listopad Web Studio.
Posljednja izmjena 2019-06-07