Complex Systems·Course
Complex Systems Theory
Complex systems theory: nonlinear dynamics, chaos, network theory, agent-based modeling, critical phenomena, and economic applications
4
Modules
12
Articles
~1 h
Reading
IV
CLOs
§ 01 — Curriculum
4 modules.
Each module is a small unit. Most read in sequence — but a determined reader can begin anywhere.
- M IIntroduction to Complex Systems TheoryCore concepts, emergence, and nonlinear dynamics3 articles
18 minBegin → - M IIPopulation Dynamics and Epidemiological ModelsPredator–prey models, SIR models, and spatial dynamics3 articles
18 minBegin → - M IIIAgent-Based Modeling and SimulationCellular automata, ABM models, and emergent behavior in multi-agent systems3 articles
18 minBegin → - M IVCritical Phenomena and Tipping PointsSelf-organized criticality, phase transitions, and early-warning signals3 articles
18 minBegin →
§ 02 — Learning outcomes
4 outcomes.
CLO I
Nonlinear Dynamics
Analyze attractors, bifurcations, and chaotic behavior in dynamical systems.
CLO II
Network Theory
Study scale-free networks, the small-world phenomenon, and percolation.
CLO III
Agent-Based Modeling
Build agent-based models and analyze emergent behavior.
CLO IV
Critical Phenomena
Understand self-organized criticality, tipping points, and early-warning signals.
§ 03 — Practices