Lecture Notes:
- 1: Syllabus 2020
- 2: Introduction
- 3: Monitoring Epidemics
- 4: Monitoring Epidemics (continued)
- 5: The Need for Models
- 6: SLR Notes for Karasi Mills Lecture
- 7: Disease Progress Over Time
- 8: Disease Progress Over Time (part 2)
- 9: Disease Progress Over Time (part 3)
- 10: Advanced Topics
- 11: Parameters
- 12: Spatial Analysis: Disease Gradients and Patterns
- 13: Spatial Analysis: Disease Gradients
- 14: Spatial Analysis: Disease Patterns
- 15: Crop Loss Assessment
Links to Recorded Lectures:
- 1: Introduction
- 2: Monitoring Epidemics (Lecture 2 Part 1)
- 2a: Monitoring Epidemics (Lecture 2 Supplement)
- 3: Monitoring Epidemics (continued)
- 4: The Need for Models
- 5: The Need for Models (continued)
- 6: SLR and Fitting Data to a Model (Karasi Mills) Too Quiet, Please Turn Volume Way Up
- 7: Disease Progress Over Time
- 8: Disease Progress Over Time (continued)
- 9: Disease Progress Over Time (continued)
- 10: Disease Progress Over Time (continued)
- 11: Supplemental: For Experience in Doing Calculations for Dynamics of Disease Over Time
- 12: Disease Progress Over Time (continued)
- 13: Disease Progress Over Time (continued)
- 14: Disease Progress Over Time (continued)
- 15: Advanced Topics
- 16: Advanced Topics (continued) : Pre-recorded
- 17: Advanced Topics (continued)
- 18: Parameters
- 19: Parameters (continued)
- 20: Spatial Analysis: Gradients and Patterns
- 21: Spatial Analysis: Gradients and Patterns (continued)
- 22: Spatial Analysis: Gradients and Patterns (continued)
- 23: Spatial Analysis: Gradients and Patterns (continued)
- 24: Spatial Analysis: Gradients and Patterns (continued)
- 25: Supplemental: Different Dispersal Gradients and Simulation of Disease Spread
- 26: Spatial Analysis: Gradients and Patterns (continued)
- 27: Spatial Analysis: Gradients and Patterns (continued)
- 28: Spatial Analysis: Gradients and Patterns (continued)
- 29: Crop Loss Assessment – Part 1
- 30: Crop Loss Assessment – Part 2
Although this may seem a paradox, all exact science is dominated by the idea of approximation.
~Bertrand Russell