In this course students can obtain the practical skills of designing, implementing
and analyzing agent-based simulation models.
The objective is to give students a basic familiarity with programming in C and using
FLAME (Flexible Large-scale Agent Modelling Environment). This will allow students to
design, implement and analyse agent-based models using the FLAME modelling environment.
Empfohlene Vorkenntnisse: C, C++, Java oder ähnliche Programmiersprache.
For Course Material, see my website ("Teaching material"):
http://www.wiwi.uni-bielefeld.de/lehrbereiche/vwl/etace/team/Sander_van_der_Hoog/
Basic Literature:
- The C programming language. Kernighan, Brian W. & Dennis M. Ritchie
Background Literature:
- Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics. Leigh Tesfatsion and Kenneth L. Judd
- Complex adaptive systems: an introduction to computational models of social life. John H. Miller and Scott E. Page
- Growing Artificial Societies: Social Science from the Bottom Up. Joshua M. Epstein ; Robert Axtell
- Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation. Michael J. North and Charles M. Macal
Frequency | Weekday | Time | Format / Place | Period |
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Module | Course | Requirements | |
---|---|---|---|
31-M-El1 Elective Courses 1 | Gewählte Veranstaltungen aus dem Bereich "Spezialkenntnisse in ökonomischer Theorie und/oder quantitativen Methoden" 2 LP | Student information | |
31-M-El2 Elective Courses 2 | Gewählte Veranstaltungen aus dem Bereich quantitative Methoden 2 LP | Student information | |
31-M-El3 Elective Courses 3 | Gewählte Veranstaltungen aus dem Bereich ökonomischer Theorie 2 LP | Student information | |
31-MM22 Computational Economics | Praktische Übungen | Study requirement
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
---|---|---|---|---|---|---|---|
Bielefeld Graduate School in Theoretical Sciences / Promotion | |||||||
Economic Behavior and Interaction Models / Promotion | |||||||
Economics and Management (BiGSEM) / Promotion | |||||||
Studieren ab 50 |
Sessions in a bi-weekly rhythm (except one):
08.4
22.4
13.5
27.5
10.6
24.6
08.7