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. Web of Life
  • 2.3.2. Complexity Science
  • 2.3.3. Attributions
• 2.4. Lecture 3: Python 1
  • 2.4.1. Accessing Jupyter Hub
  • 2.4.2. Jupyter Notebook Cells
  • 2.4.3. Python Basics
  • 2.4.4. Strings
  • 2.4.5. Comments
  • 2.4.6. Functions
• 2.5. Lecture 4: Python 2
• 2.6. Lecture 5: Python 3
• 2.7. Lecture 6: Python 4
• 2.8. Tuples
• 2.9. Tuples vs Lists in Python
• 2.10. Characteristics:
  • 2.10.1. Zip Function
  • 2.10.2. Dictionaries with Tuples:
• 2.11. Classes and Objects
  • 2.11.1. Class Implementation Examples
  • 2.11.2. Inheritance
• 2.12. Summary
• 2.13. Lecture 7: Graphs
• 2.14. Lecture 8: Small world graphs
• 2.15. Lecture 9: Scale-free networks
• 2.16. Lecture 10: Cellular automatons
• 2.17. Lecture 11: Game of Life
• 2.18. Lecture 12: Physical modelling
• 2.19. Lecture 13: Self-organized criticality
• 2.20. Lecture 14: Agent-based models
• 2.21. Lecture 15: Herds, flocks, and traffic jams
• 2.22. Lecture 16: Evolution
• 2.23. Lecture 17: Evolution of cooperation
• 2.24. Lecture 18: Guest Lecture
• 2.25. Lecture 19: AI and Machine Learning / Debates 1
• 2.26. Lecture 20: Project Pitch 1
• 2.27. Lecture 21: AI and Machine Learning / Debates 2
• 2.28. Lecture 22: Project Pitch 2
• 2.29. Lecture 23: AI and Machine Learning / Debates 3
• 2.30. Lecture 24: Project Pitch 3