Julia Scientific Programming

Description

In this course, you will :

• Practice using the Julia language by completing assignments.
• Create your own simple Julia programmes from the ground up.
• Recognize the benefits and capabilities of Julia as a programming language.
• Use the Julia programming language in Jupyter notebooks.
• Make use of Julia packages like Plots, DataFrames, and Stats.

Syllabus :

1. A context for exploring Julia: Working with data

• The Ebola Epidemic of 2014
• Loading data using Julia
• Creating .csv from data tables
• For Loops and Date-Time Formats
• Simple plots with the Plots package
• Multiple curves in a single diagram

 

2. Notebooks as Julia Programs

• SIR Models of Disease Dynamics
• The SIR model in Julia code
• More on SIR Models
• Plotting Data and an Approximately Fitted Line Simultaneously
• Using the Data - fitting the model parameters
• Week 3: Getting practice
• Practicing fitting a circle to data

 

3. Structuring data and functions in Julia

• Using Julia for descriptive statistics
• Installing packages for this lesson
• Creating simulated data
• Descriptive statistics
• Creating a dataframe
• Descriptive statistics
• Visualizing data
• Inferential statistics
• Exporting data as a csv file

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