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Computational thinking with Julia

Applications to the COVID-19 pandemic

Syllabus and schedule for 6.S083 / 18.S190 (Spring 2020)

Homeworks Resources
HW1
HW2
HW3

(For ipynb notebooks to download using upper right icon, OPTION-click (MAC) or ALT-Click (Linux and Windows ) then "Save Link as.." or "Download Linked File As..")

Lecture Slides Video Notebook Other Resources
1. Analyzing covid-19 data
(March 30,2020)
2. Modelling exponential growth
(April 1, 2020)
3. Probability
(April 6, 2020)
4. Random walk models
(April 8, 2020)
5. Characterising variability
(April 13,2020)
6. User-defined types
(April 15, 2020)
  • 7. Networks
  • 8.Differential equations
  • 9. SIR models
  • 10. Optimization
  • 11. Fitting to data
  • 12. Scientific machine learning