This four-module course introduces users to Julia as a first language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics and many more. As open source software, you will always have it available throughout your working life. It can also be used from the command line, program files or a new type of interface known as a Jupyter notebook (which is freely available as a service from JuliaBox.com).
Julia is designed to address the requirements of high-performance numerical and scientific computing while also being effective for general-purpose programming. You will be able to access all the available processors and memory, scrape data from anywhere on the web, and have it always accessible through any device you care to use as long as it has a browser. Join us to discover new computing possibilities. Let's get started on learning Julia.
By the end of the course you will be able to:
- Programme using the Julia language by practising through assignments
- Write your own simple Julia programs from scratch
- Understand the advantages and capacities of Julia as a computing language
- Work in Jupyter notebooks using the Julia language
- Use various Julia packages such as Plots, DataFrames and Stats
The course is delivered through video lectures, on-screen demonstrations, quizzes and practical peer-reviewed projects designed to give you an opportunity to work with the packages.
proposé par
Université du Cap
13,874 inscrit(s)
À propos de ce cours
17,944 consultations récentes
Compétences que vous acquerrez
Julia (Programming Language)Computer ProgrammingIpythonData Visualization (DataViz)
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
15 heures pour terminer
Welcome to the course
A warm welcome to Julia Scientific Programming. Over the next four weeks, we will provide you with an introduction to what Julia can offer. This will allow you to learn the basics of the language, and stimulate your imagination about how you can use Julia in your own context. This is all about you exploring Julia - we can only demonstrate some of the capacity and encourage you to take the first steps. For those of you with a programming background, the course is intended to offer a jumpstart into using this language. If you are a novice or beginner programmer, you should follow along the simple coding but recognising that working through the material will not be sufficient to make you a proficient programmer in four weeks. You could see this as the ‘first date’ at the beginning of a long and beautiful new relationship. There is so much you will need to learn and discover. Good luck and we hope you enjoy the course! Best wishes, Henri and Juan
14 vidéos (Total 138 min), 4 lectures, 7 quiz
14 vidéos
Julia version 1.048s
Programming languages and why Julia is special6 min
Getting Ready: JuliaBox15 min
The Julia REPL - Read, Evaluate and Print Loop9 min
Arithmetical expressions10 min
Logical expressions12 min
Julia's Type System17 min
Variables in Julia16 min
Functions in Julia17 min
User-defined functions - part 19 min
User-defined functions - part 26 min
Week 1: Getting Practice3 min
Installing Juno using Julia 1.09 min
4 lectures
How this course works10 min
What to expect from Week 110 min
Using Jupyter Notebooks10 min
Approach to assessment in course10 min
7 exercices pour s'entraîner
Is this course right for me?10 min
JuliaBox and the Julia REPL14 min
Arithmetical and logical expressions in Julia14 min
Types and Arrays in Julia12 min
Julia functions12 min
Week 1 - Graded Quiz20 min
What makes Julia special?6 min
Semaine
24 heures pour terminer
A context for exploring Julia: Working with data
In our case study we use Julia to store, plot, select and slice data from the Ebola epidemic. Taking real data, we explain how to work in Julia using arrays, and for loops to work with the structures. By the end of this module, you will be able to: create an array from data; learn to use the logical structures IF and FOR ; conduct basic array slicing, getting the incidence data and generating total number of cases; use Plots to generate graphs and plot data; and combine the Ebola data outputs to show a plot of disease incidence in several countries.
9 vidéos (Total 74 min), 1 lecture, 4 quiz
9 vidéos
The Ebola Epidemic of 20148 min
Loading data using Julia8 min
Creating .csv from data tables4 min
For Loops and Date-Time Formats18 min
Simple plots with the Plots package9 min
Multiple curves in a single diagram13 min
Week 2: Getting Practice2 min
How to do a Peer Graded Assignment8 min
1 lecture
What to expect from Week 210 min
3 exercices pour s'entraîner
Data and Loops in Julia12 min
Plots in Julia14 min
Week 2 - Graded Quiz20 min
Semaine
34 heures pour terminer
Notebooks as Julia Programs
in this week, we demonstrate how it is possible to use Julia in the notebook environment to interpret a model and its fit to the data from the Ebola outbreak. For this, we apply the well-known SIR compartmental model in epidemiology. The SIR model labels three compartments, namely S = number susceptible, I =number infectious, and R =number recovered. By the end of this module, you will be able to: understand the SIR models; describe the basic parameters of an SIR model; plot the model-predicted curve and the data on the same diagram; adjust the parameters of the model so the model-predicted curve is close (or rather as close as you can make it) to the data.
9 vidéos (Total 76 min), 1 lecture, 3 quiz
9 vidéos
SIR Models of Disease Dynamics9 min
The SIR model in Julia code18 min
More on SIR Models13 min
Plotting Data and an Approximately Fitted Line Simultaneously9 min
Using the Data - fitting the model parameters11 min
Week 3: Getting practice1 min
Practicing fitting a circle to data11 min
Week 3: Wrap Up42s
1 lecture
What to expect from Week 310 min
2 exercices pour s'entraîner
Making simple models4 min
Models6 min
Semaine
44 heures pour terminer
Structuring data and functions in Julia
As a scientific computing language, Julia has many applications and is particularly well suited to the task of working with data. In this last module, we will use descriptive statistics as our topic to explore the power of Julia. You should see this week as offering you a chance to further explore concepts introduced in week one and two. You will also be introduced to more efficient ways of managing and visualizing your data. We have also included additional, honors material for those who want to explore further with Julia around functions and collections. By the end of this module, you will be able to: 1. Practice basic functions in Julia 2.Creating random variables from data point values 3. Build your own Dataframes 4. Create a variety of data visualisations 5. Conduct statistical tests 6. learn how to export your data.
9 vidéos (Total 62 min), 4 lectures, 4 quiz
9 vidéos
Installing packages for this lesson4 min
Creating simulated data7 min
Descriptive statistics4 min
Creating a dataframe7 min
Descriptive statistics9 min
Visualizing data10 min
Inferential statistics11 min
Exporting data as a csv file2 min
4 lectures
What to expect from Week 410 min
Packages - Local installation of Julia vs. juliabox.com10 min
Week 4: Wrap-up10 min
Honors material10 min
3 exercices pour s'entraîner
Week 4 - Graded Quiz10 min
Collections10 min
Functions10 min
4.5
54 avis33%
a commencé une nouvelle carrière après avoir terminé ces cours
22%
a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
Meilleurs avis
Excellent, engaging teaching that makes me want to use Julia language (and Jupyter notebooks) all the time. As the language evolves, you need to adjust to newer Julia versions - just a part of fun.
It was very exciting. I widen further, my computing horizons\n\nHope, that the university will launch in the near future, a more advanced course of "Julia Scientific Programming"
Enseignants
Juan H Klopper
DrDepartment of Surgery
Henri Laurie
DrDepartment of Mathematics and Applied Mathematics
À propos de Université du Cap
The University of Cape Town is the oldest university in South Africa and is one of the leading research universities on the African continent. UCT has over 25 000 students, of whom 30% are postgraduate students. We offer degrees in six faculties: Commerce, Engineering & the Built Environment, Health Sciences, Humanities, Law, and Science. We pride ourself on our diverse student body, which reflects the many cultures and backgrounds of the region. We welcome international students and are currently home to thousands of international students from over 100 countries. UCT has a tradition of academic excellence that is respected world-wide and is privileged to have more than 30 A-rated researchers on our staff, all of whom are recognised as world leaders in their field. Our aim is to ensure that our research contributes to the public good through sharing knowledge for the benefit of society. Past students include five Nobel Laureates – Max Theiler, Alan Cormack, Sir Aaron Klug, Ralph Bunche and, most recently, J M Coetzee.
Foire Aux Questions
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