2025 (Current Year) Faculty Courses School of Environment and Society Department of Technology and Innovation Management Graduate major in Technology and Innovation Management
Social Simulation I
- Academic unit or major
- Graduate major in Technology and Innovation Management
- Instructor(s)
- Mayuko Nakamaru
- Class Format
- Lecture/Exercise (HyFlex)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 5-6 Sat
- Class
- -
- Course Code
- TIM.A510
- Number of credits
- 0.50.50
- Course offered
- 2025
- Offered quarter
- 1Q
- Syllabus updated
- Mar 19, 2025
- Language
- Japanese
Syllabus
Course overview and goals
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.
Course description and aims
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
- 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/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Introduction: what agent-based simulation is? Lecture and exercise: Schelling’s dynamic model of segregation | learn what agent-based simulation is learn and exercise Schelling’s dynamic model of segregation |
| Class 2 | Exercise in Schelling’s dynamic model of segregation | learn and exercise Schelling’s dynamic model of segregation |
| Class 3 | Lecture and exercise: Evolution of cooperation in a lattice | learn and exercise the evolution of cooperation in a lattice |
| Class 4 | Lecture and exercise: Evolution of indirect reciprocity | learn and exercise the evolution of cooperation in a lattice |
| Class 5 | Exercise in Dissemination of Culture in a lattice and Opinion dynamics | llearn and exercise Dissemination of Culture in a lattice and Opinion dynamics |
| Class 6 | group work | Students join one of groups and then discuss what model is made |
| Class 7 | group presentation | Students present their assignment. |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class. They should do so by referring to course material.
Textbook(s)
Not assigned.
Reference books, course materials, etc.
Not assigned.
Evaluation methods and criteria
Report (100%)
Related courses
- TIM.A511 ： Social Simulation II
- TIM.A406 ： Methodology of Mathmatical and Computational Analysis II
- TIM.C401 ： Ecosystem Management I
- TIM.C402 ： Ecosystem Management II
- TIM.D401 ： Exercises in Research Literacy I
- TIM.D402 ： Exercises in Research Literacy II
Prerequisites
No prerequisite.