Agent-Based Modelling

Spring 2024, Half-time, Norrköping

Semester Spring 2024
Place of study Norrköping
Pace of study Half-time
Level Second cycle
Teaching form On-Campus
Education Time Day-time
Education Language English
Course offering id LIU-40006
Period 202414 - 202423
Number of Places 2

Specific requirements

  • 180 ECTS credits passed including 90 ECTS credits in one of the following subject areas: social- and natural sciences, engineering, statistics, or mathematics
  • 15 ECTS credits in statistics, computer science, mathematics, or equivalent at advanced level
  • English corresponding to the level of English in Swedish upper secondary education (Engelska 6)
    Exemption from Swedish

Selection

Tuition fees

SEK 17600 - NB: Applies only to students from outside the EU, EEA and Switzerland.

If you have questions about the course, contact us

Eduardo Tapia, course director

Madelene Töpfer, course administrator

Jonas Johansson, study adviser

Course syllabus

Agent-Based Modelling

Spring 2025, Half-time, Norrköping

Semester Spring 2025
Place of study Norrköping
Pace of study Half-time
Level Second cycle
Teaching form On-Campus
Education Time Day-time
Education Language English
Course offering id LIU-40006
Period 202514 - 202523
Number of Places 2

Specific requirements

  • 180 ECTS credits passed including 90 ECTS credits in one of the following subject areas: social- and natural sciences, engineering, statistics, or mathematics
  • 15 ECTS credits in statistics, computer science, mathematics, or equivalent at advanced level
  • English corresponding to the level of English in Swedish upper secondary education (Engelska 6)
    Exemption from Swedish

Selection

Tuition fees

SEK 17600 - NB: Applies only to students from outside the EU, EEA and Switzerland.

If you have questions about the course, contact us

Eduardo Tapia, course director

Madelene Töpfer, course administrator

Jonas Johansson, study adviser

Course syllabus

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.