2. ENGG*3130 Lectures

• 2.1. About the Lectures
  • 2.1.1. Building a static version of the notes
  • 2.1.2. Contributing to the course notes
    • 2.1.2.1. Sphinx
    • 2.1.2.2. Recipe
    • 2.1.2.3. Checklist
• 2.2. Lecture 1: Introduction
  • 2.2.1. Overview
  • 2.2.2. About the course
  • 2.2.3. Frequently Asked Questions
• 2.3. Lecture 2: Complexity science
  • 2.3.1. Overview
  • 2.3.2. Breakout Groups
  • 2.3.3. Web of Life & Different Types of Problems
  • 2.3.4. Barriers to Learning
  • 2.3.5. Complexity Science
  • 2.3.6. Complexity Engineering & Thinking
• 2.4. Lecture 3: Python 1
  • 2.4.1. Python Review Class Overview
  • 2.4.2. VPN Setup
  • 2.4.3. JupyterHub
  • 2.4.4. Python Concepts
• 2.5. Lecture 4: Python 2
• 2.6. Lecture 5: Python 3
• 2.7. Lecture 6: Python 4
• 2.8. Lecture 7: Graphs
• 2.9. Lecture 8: Small world graphs
• 2.10. Lecture 9: Scale-free networks
• 2.11. Lecture 10: Cellular automatons
• 2.12. Lecture 11: Game of Life
• 2.13. Lecture 12: Physical modelling
• 2.14. Lecture 13: Self-organized criticality
• 2.15. Lecture 14: Agent-based models
• 2.16. Lecture 15: Herds, flocks, and traffic jams
• 2.17. Lecture 16: Evolution
• 2.18. Lecture 17: Evolution of cooperation
• 2.19. Lecture 18: Guest Lecture
• 2.20. Lecture 19: AI and Machine Learning / Debates 1
• 2.21. Lecture 20: Project Pitch 1
• 2.22. Lecture 21: AI and Machine Learning / Debates 2
• 2.23. Lecture 22: Project Pitch 2
• 2.24. Lecture 23: AI and Machine Learning / Debates 3
• 2.25. Lecture 24: Project Pitch 3