| Course title | Complex Economic Systems |
|---|---|
| Course code | KMA/KES |
| Organizational form of instruction | Seminar |
| Level of course | Bachelor |
| Year of study | 3 |
| Semester | Winter |
| Number of ECTS credits | 2 |
| Language of instruction | Czech |
| Status of course | Compulsory-optional |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
|---|
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| Course content |
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1. Linear and nonlinear systems, determinism and predictability 2. Examples of linear models in economics 3. Nonlinear models in economics 4. Pattern formation and emergent phenomena in economy 5. Self-organized criticality: The role of regulation in economy 6. Econophysics
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| Learning activities and teaching methods |
| Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming), Demonstration |
| Learning outcomes |
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The aim of the course to explain that the economy is a complex nonlinear system with many feedback and regulatory mechanisms. It is not possible to examine such a system by tools borrowed from linear equilibrium thermodynamics.
Understanding complexity and the ability to find and correct unjustified simplifications and misleading models in current economics. |
| Prerequisites |
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Interest in the subject, linear algebra, calculus, and basics of procedural programming.
KAG/LA1A and KMA/MA1 |
| Assessment methods and criteria |
|
Dialog, Seminar Work
Semester project and its presentation. Active participation. |
| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
|---|---|---|---|---|
| Faculty: Faculty of Science | Study plan (Version): Applied Mathematics - Specialization in Data Science (2020) | Category: Mathematics courses | 3 | Recommended year of study:3, Recommended semester: Winter |
| Faculty: Faculty of Science | Study plan (Version): Applied Mathematics - Specialization in Industrial Mathematics (2020) | Category: Mathematics courses | 3 | Recommended year of study:3, Recommended semester: Winter |
| Faculty: Faculty of Science | Study plan (Version): Applied Mathematics - Specialization in Business Mathematics (2021) | Category: Mathematics courses | 3 | Recommended year of study:3, Recommended semester: Winter |