Agent-Based Modelling, 7.5 credits
Agentbaserad modellering, 7.5 hp
771A22
Main field of study
Computational Social ScienceCourse level
Second cycleCourse type
Single subject and programme courseExaminer
Eduardo TapiaCourse coordinator
Eduardo TapiaAvailable for exchange students
YesContact
Kostas Mitropoulos
Course offered for | Semester | Weeks | Language | Campus | ECV | |
---|---|---|---|---|---|---|
Single subject course (Full-time, Day-time) | Spring 2019 | 201914-201918 | English | Norrköping, Norrköping | ||
Single subject course (Full-time, Day-time) | Spring 2019 | 201914-201918 | English | Norrköping, Norrköping |
Main field of study
Computational Social ScienceCourse level
Second cycleAdvancement level
A1XEntry requirements
A bachelor's degree or equivalent in social science, physical science, biological science, engineering, statistics or math. Additionally required at least 15 ECTS credits in statistics, computer science, mathematics or equivalent at advanced level or higher.
English corresponding to the level of English in Swedish upper secondary education (English 6/B).
Intended learning outcomes
After completion of the course, the student should on an advanced level be able to:
- Describe key applications of agent-based simulation modeling (ABM) in the social sciences;
- Explain the logic behind and the explanatory role of agent-based modeling;
- Design and program different types of agent-based models;
- Run agent-based computational experiments;
- Evaluate the results of agent-based simulations through various forms of statistical sensitivity analyses.
Course content
Agent-based modeling is a methodology for analyzing how groups of interacting individuals or other types of agents bring about various macro outcomes. This course provides a detailed introduction to the agent-based modelling (ABM) technique. The course covers all the steps in the process of developing an ABM, from theoretical design to model implementation and model evaluation. During intensive computer labs, ABMs are implemented using object-oriented programing, including the treatment of variables, commands, and procedures. The course includes practical work with various types of computer-based experiments, as well as methods for evaluating the robustness of simulation results using various statistical sensitivity analyses.
Teaching and working methods
The teaching consists of lectures, readings, computor labs and seminars. Homework and independent studies are a necessary complement to the course.
Language of instruction: English
Examination
The course is examined through written assignments, active participation on seminars, computer labs and a final written individual assignment.
Detailed information about the examination can be found in the course’s study guide.
Students failing an exam covering either the entire course or part of the course twice are entitled to have a new examiner appointed for the reexamination.
Students who have passed an examination may not retake it in order to improve their grades.
Grades
ECTS, ECOther information
Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus.
The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.
Department
Institutionen för ekonomisk och industriell utvecklingCode | Name | Scope | Grading scale |
---|---|---|---|
ASSI | Assignments | 7.5 credits | EC |
This tab contains public material from the course room in Lisam. The information published here is not legally binding, such material can be found under the other tabs on this page. Click on a file to download and open it.
Name | File name | Description |
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References_ABM_course_LIU_ | References_ABM_course_LIU_.docx |