Enrolment options

CS-E5775 - Complex Systems D, Lecture, 2.9.2024-9.10.2024

Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

Learning the core concepts of complexity and system science—causal feedback, systems thinking, emergence, self-organization, the edge of chaos, autopoiesis, stigmergy, the structure and function of networks, and computational explanations of natural phenomena. Learning how to identify, analyze, and simulate these for real systems. To have a historical overview of the development of these ideas.

Credits: 5

Schedule: 02.09.2024 - 09.10.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Petter Holme

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    • The history of complexity science and related developments: tektology, cybernetics, general systems theory, systems dynamics, the Austrian school of economics, hierarchy theory, chaos theory, self-organized criticality, complex adaptive systems, artificial life.
    • Tools and models: Primarily agent-based models and cellular automata, but also about systems dynamics and network analysis.
    • Phenomena and examples: Pattern formation, fractals, critical phenomena, space syntax, traffic models, evolutionary game theory.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Take-home exams. Individual project work.

Workload

  • valid for whole curriculum period:

    Lectures. Take-home exams / assignments. Individual project work.

DETAILS

Study Material

  • valid for whole curriculum period:

    Lecture notes.

    H Sayama, Modeling and Analysis of Complex Systems. Open SUNY Textbooks, 2015.

    https://www.complexity-explorables.org/

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    9 Industry, Innovation and Infrastructure

    10 Reduced Inequality

    11 Sustainable Cities and Communities

    12 Responsible Production and Consumption

    13 Climate Action

    16 Peace and Justice Strong Institutions

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Autumn I
    2025-2026 Autumn I

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof

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