Agent-based Modelling in the Social Sciences, 7.5 credits
Agent-based Modelling in the Social Sciences, 7.5 hp
771A01
Main field of study
SociologyCourse level
Second cycleCourse type
Single subject and programme courseDirector of studies or equivalent
Linnea TengvallAvailable for exchange students
YesContact
Eduardo Tapia
Linnea Tengvall, director of studies
Course offered for | Semester | Weeks | Language | Campus | ECV | |
---|---|---|---|---|---|---|
Single subject course (Full-time, Day-time) | Autumn 2016 | 201644-201648 | English | Norrköping | ||
Single subject course (Full-time, Day-time) | Autumn 2016 | 201644-201648 | English | Norrköping |
Main field of study
SociologyCourse level
Second cycleAdvancement level
A1XEntry requirements
Applicants must hold a bachelor's degree/kandidatexamen of at least 180 ECTS credits, including a 15 ECTS credit degree paper, or equivalent, within humanities, behavioral or social sciences, natural sciences, mathematics, statistics, economics, or computer science.
Documented knowledge of English equivalent to Engelska B/Engelska 6.
Intended learning outcomes
After completing the course the student should at 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 an important 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 model (ABM) technique. The course covers all the steps in the process of developing an ABM, from theoretical design to model implementation and model evaluation. In the course, an ABM is implemented using object-oriented programing, where the treatment of different types of variables, commands, and procedures are included. 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 course is organized around class discussions, computer-intensive laboratory sessions, and supervised independent work. In addition, students should do independent reading on their own.
Language of instruction: English and/or Swedish
Examination
The examination consists of individual programming assignments and a final project, to be determined by the teacher of the course.Detailed information about the examination can be found in the course’s study guide.
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.
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 utvecklingNo examination details is to be found.
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