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.
Basic Literature
Background Literature
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Show passed dates >> Edit date display
| Module | Course | Requirements | |
|---|---|---|---|
| 31-IndiErg-3 Software Applications for Economists Softwareanwendungen für WirtschaftswissenschaftlerInnen | Softwareanwendungen für Wirtschaftswissenschaftler | Study requirement
|
Student information |
| 31-IndiErg-4 Software Applications for Economists II Softwareanwendungen für WirtschaftswissenschaftlerInnen II | Softwareanwendungen für Wirtschaftswissenschaftler | Study requirement
|
Student information |
| 31-M-El1 Elective Courses 1 Elective Courses 1 | Chosen course from the group "Specialisation and deepening of the knowledge on economic theory and/or quantitative methods" 5 LP | Student information | |
| 31-M-El2 Elective Courses 2 Elective Courses 2 | Chosen course from the group quantitative methods 5 LP | Student information | |
| 31-M-El3 Elective Courses 3 Elective Courses 3 | Chosen course from the group economic theory 5 LP | Student information | |
| 31-MM22 Computational Economics 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 | |
|---|---|---|---|---|---|---|---|
| Economics and Management (BiGSEM) / Promotion | 5 |
Sessions (7):
1. 28.10
2. 11.11
3. 25.11
4. 09.12
5. 06.01.2016
6. 20.01.2016
7. 03.02.2016