À propos de ce cours
4.5
133 notes
48 avis
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100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Niveau débutant

Niveau débutant

Heures pour terminer

Approx. 24 heures pour terminer

Recommandé : 4 weeks of study, 3-4 hours per week ...
Langues disponibles

Anglais

Sous-titres : Anglais

Compétences que vous acquerrez

Julia (Programming Language)Computer ProgrammingIpythonData Visualization (DataViz)
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Niveau débutant

Niveau débutant

Heures pour terminer

Approx. 24 heures pour terminer

Recommandé : 4 weeks of study, 3-4 hours per week ...
Langues disponibles

Anglais

Sous-titres : Anglais

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
Heures pour terminer
5 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. We have created a course which we hope 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 course 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...
Reading
19 vidéos (Total 160 min), 4 lectures, 7 quiz
Video19 vidéos
New versions of Julia - 1.048s
Programming Languages and why Julia is special4 min
Getting Ready: JuliaBox Part 111 min
Getting Ready: JuliaBox Part 25 min
The Julia REPL - Read, Evaluate and Print Loop9 min
Arithmetic Expressions7 min
Logical expressions11 min
Types: Julia Type System12 min
Arrays and Abstract types10 min
Functions I - built-in functions8 min
Functions II - user-defined functions6 min
Week 1: Getting Practice3 min
How to Install Julia on Mac OS X14 min
Installing Julia on Linux13 min
Installing Julia on Windows17 min
Opening notebooks in IJulia1 min
Installing Juno using Julia 1.09 min
Copy of Installing Juno using Julia 1.09 min
Reading4 lectures
How this course works10 min
What to expect from Week 110 min
Using Jupyter Notebooks10 min
Approach to assessment in course10 min
Quiz7 exercices pour s'entraîner
Is this course right for me?10 min
JuliaBox and the Julia REPL14 min
Arithmetic 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
2
Heures pour terminer
4 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....
Reading
9 vidéos (Total 50 min), 1 lecture, 4 quiz
Video9 vidéos
The Ebola Epidemic of 20144 min
Loading data5 min
Creating CSV files (Optional)3 min
"For" Loops and data format conversions12 min
Simple Plots with the Plots Package6 min
Plotting Multiple Curves in a Single Diagram6 min
Week 2: Getting Practice2 min
How to do a Peer Graded Assignment8 min
Reading1 lecture
What to expect from Week 210 min
Quiz3 exercices pour s'entraîner
Data and Loops in Julia12 min
Plots in Julia14 min
Week 2 - Graded quiz20 min
Semaine
3
Heures pour terminer
6 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....
Reading
16 vidéos (Total 107 min), 1 lecture, 4 quiz
Video16 vidéos
SIR Models of Disease Dynamics15 min
More on SIR Models6 min
Plotting Data5 min
Using the Data: A rough fit of the model parameters6 min
Week 3 Getting practice1 min
Practicing fitting a circle to data11 min
Week 3 Wrap Up42s
User Defined Types: Introduction2 min
User Defined Types: The Julia Type System & Declaring a Type7 min
User Defined Types: Creating Your Own Type9 min
User Defined Types: Conversion & Promotion & Parametrizing a Type7 min
User Defined Types: Equality of Values & Types & Defining Methods for User Types6 min
User Defined Types: More Complex Parameters12 min
User Defined Types: Screen Output of User Defined Types2 min
User Defined Types: Constraining Field Values11 min
Reading1 lecture
What to expect from Week 310 min
Quiz2 exercices pour s'entraîner
Making simple models4 min
Models6 min
Semaine
4
Heures pour terminer
8 heures pour terminer

Structuring data and functions in Julia

As a scientific computing language, Julia is well suited to the task of working with data. In this last module, we elaborate on the two most important concepts in Julia, arrays and functions. They are the fundamental building blocks of holding and manipulating data. 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. By the end of this module, you will be able to: 1. Apply and understand how to work with arrays 2. Practice Julia functions 3. Explore extension packages 4. be familiar with the Dataframes package 5. Plot a variety of data from the dataset, ready for publication....
Reading
35 vidéos (Total 188 min), 3 lectures, 6 quiz
Video35 vidéos
Collections: Creating Arrays10 min
Collections: Slicing & Modifying Arrays4 min
Collections: Comprehensions & Operations5 min
Collections: Additional - NA & Tuples6 min
Collections: Additional - Dictionaries10 min
Collections: Recap1 min
Functions: Introduction2 min
Functions: Single & Multiple expression functions4 min
Functions: Optional & Keyword Arguments5 min
Functions: Variable Number of Arguments5 min
Functions: Additional Passing Arrays as Arguments & Type Parameters7 min
Functions: Additional - Stabby Functions & Passing Functions as Arguments4 min
Functions: Recap1 min
Data Frames: Introduction1 min
Data Frames: Data Arrays & Data Frames5 min
Data Frames: Get to Know your Data5 min
Data Frames: Importing & Exporting2 min
Data Frames: Joins & Groups10 min
Data Frames: Sorting, Duplicates & NA6 min
Data Frames: Renaming Columns2 min
Data Frames: Recap1 min
Data: Introduction1 min
Data Vizualization: Randn & Distributions6 min
Data Vizualization: Comparison6 min
Data Vizualization: Plotly5 min
Data Vizualization: Recap42s
Gadfly: Introduction2 min
Gadfly: Simple plotting & Adding Layers7 min
Gadfly: Using Themes8 min
Gadfly: Adding Titles and Axis Labels & Saving a Plot & Importing Data into a DataFrame7 min
Gadfly: Box Plots8 min
Gadfly: Density Plots & Histogram & Violin Plots9 min
Gadfly: QQ Plots & Scatter Plots & Vertical and Horizontal Lines8 min
Gadfly: More Examples5 min
Reading3 lectures
What to expect from week 410 min
Packages - Local installation of Julia vs. juliabox.com10 min
Completing the course10 min
Quiz4 exercices pour s'entraîner
Collections10 min
Functions10 min
DataFrames and Data Visualizations10 min
Working with data (Honors)12 min

Enseignants

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Juan H Klopper

Dr
Department of Surgery
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Henri Laurie

Dr
Department 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

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous achetez un Certificat, vous bénéficiez d'un accès à tout le contenu du cours, y compris les devoirs notés. Lorsque vous avez terminé et réussi le cours, votre Certificat électronique est ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

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