2019 Social Simulation II

Font size  SML

Register update notification mail Add to favorite lecture list
Academic unit or major
Graduate major in Technology and Innovation Management
Instructor(s)
Nakamaru Mayuko 
Course component(s)
Lecture / Exercise     
Day/Period(Room No.)
Sat1-2(CIC812)  
Group
-
Course number
TIM.A511
Credits
1
Academic year
2019
Offered quarter
2Q
Syllabus updated
2019/5/9
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

This course teaches how agent-based simulation helps understand innovation management. The aim of this course is to acquire analytical skills which are required to learn and to conduct research on technology management.
Agent-based simulation is a good tool to grasp the essence of individuals and organizations. In this course, the students will learn and exercise the methodology of agent-based simulation.

Student learning outcomes

In this course, the students will learn:
1) how to grasp the cause-and-effect relationship in innovation management and make a model to describe it qualitatively and quantitatively.
2) how to program and simulate the model.
3) how to interprete the results properly by comparison with practice.

Keywords

agent-based simulation

Competencies that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

Give a lecture and then exercises are assigned to students.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Introduction: what agent-based simulation is? learn what agent-based simulation is
Class 2 Lecture and exercise: Schelling’s dynamic model of segregation learn and exercise Schelling’s dynamic model of segregation
Class 3 Exercise in Schelling’s dynamic model of segregation learn and exercise Schelling’s dynamic model of segregation
Class 4 Exercise in Schelling’s dynamic model of segregation learn and exercise the evolution of cooperation in a lattice (Nowa and May model (1992))
Class 5 Lecture and exercise: Evolution of cooperation in a lattice learn and exercise the evolution of cooperation in a lattice (Nowa and May model (1992))
Class 6 Exercise in Dissemination of Culture in a lattice learn and exercise Dissemination of Culture in a lattice (Axelrod (1997))
Class 7 Exercise in Dissemination of Culture in a lattice learn and exercise Dissemination of Culture in a lattice (Axelrod (1997))
Class 8 group discussion discuss the models the students learned here from the viewpoint of management of technology

Textbook(s)

Not assigned.

Reference books, course materials, etc.

Not assigned.

Assessment criteria and methods

Report (100%)

Related courses

  • TIM.A405 : Methodology of Mathmatical and Computational Analysis I
  • TIM.A406
  • TIM.C401 : Ecosystem Management I
  • TIM.C402 : Ecosystem Management II
  • TIM.D401 : Exercises in Research Literacy I
  • TIM.D402 : Exercises in Research Literacy II
  • TIM.A510 : Social Simulation I

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Take Social Simulation I

Page Top