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Course Info

Instructors
  • Prof. Alan Edelman
  • Prof. David P. Sanders
Departments
  • Mathematics
  • Electrical Engineering and Computer Science
As Taught In
Spring 2020
Level
Undergraduate
Topics
  • Engineering
    • Computer Science
      • Algorithms and Data Structures
      • Computer Design and Engineering
      • Computer Networks
  • Mathematics
    • Applied Mathematics
    • Computation
Learning Resource Types
theaters Lecture Videos
assignment Problem Sets

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18.S190 | Spring 2020 | Undergraduate

Introduction to Computational Thinking with Julia, with Applications to Modeling the COVID-19 Pandemic

  • Syllabus

  • Course Materials

  • Assignments

Assignments

All of the materials linked on this page are available on the original GitHub site developed for the course.

HW# homework files resources
1

Analyzing Covid-19 Data (md)

Analyzing Covid-19 Data (pdf)

Interactiv Covid-19 Trajectory
2

Probability and Modelling Recovery (md)

Probability and Modelling Recovery (pdf)

 
3

Simple Epidemic Model (md)

Simple Epidemic Model (pdf)

 
4

Spatial Epidemic Model (md) 

Spatial Epidemic Model (pdf)

 
5

Scientific Machine Learning (md) 

Scientific Machine Learning (pdf)

HW#5 Notebook Files

HW#5 Data Set

Code content is licensed under the MIT license.

Course Info

Instructors
  • Prof. Alan Edelman
  • Prof. David P. Sanders
Departments
  • Mathematics
  • Electrical Engineering and Computer Science
As Taught In
Spring 2020
Level
Undergraduate
Topics
  • Engineering
    • Computer Science
      • Algorithms and Data Structures
      • Computer Design and Engineering
      • Computer Networks
  • Mathematics
    • Applied Mathematics
    • Computation
Learning Resource Types
theaters Lecture Videos
assignment Problem Sets

Download Course
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