Informações sobre o curso
4.5
129 classificações
47 avaliações
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível iniciante

Nível iniciante

Horas para completar

Aprox. 24 horas para completar

Sugerido: 4 weeks of study, 3-4 hours per week ...
Idiomas disponíveis

Inglês

Legendas: Inglês

Habilidades que você terá

Julia (Programming Language)Computer ProgrammingIpythonData Visualization (DataViz)
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível iniciante

Nível iniciante

Horas para completar

Aprox. 24 horas para completar

Sugerido: 4 weeks of study, 3-4 hours per week ...
Idiomas disponíveis

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
5 horas para concluir

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 vídeos (total de (Total 160 mín.) min), 4 leituras, 7 testes
Video19 videos
New versions of Julia - 1.048s
Programming Languages and why Julia is special4min
Getting Ready: JuliaBox Part 111min
Getting Ready: JuliaBox Part 25min
The Julia REPL - Read, Evaluate and Print Loop9min
Arithmetic Expressions7min
Logical expressions11min
Types: Julia Type System12min
Arrays and Abstract types10min
Functions I - built-in functions8min
Functions II - user-defined functions6min
Week 1: Getting Practice3min
How to Install Julia on Mac OS X14min
Installing Julia on Linux13min
Installing Julia on Windows17min
Opening notebooks in IJulia1min
Installing Juno using Julia 1.09min
Copy of Installing Juno using Julia 1.09min
Reading4 leituras
How this course works10min
What to expect from Week 110min
Using Jupyter Notebooks10min
Approach to assessment in course10min
Quiz7 exercícios práticos
Is this course right for me?10min
JuliaBox and the Julia REPL14min
Arithmetic and logical expressions in Julia14min
Types and Arrays in Julia12min
Julia functions12min
Week 1 Graded Quiz20min
What makes Julia special?6min
Semana
2
Horas para completar
4 horas para concluir

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 vídeos (total de (Total 50 mín.) min), 1 leitura, 4 testes
Video9 videos
The Ebola Epidemic of 20144min
Loading data5min
Creating CSV files (Optional)3min
"For" Loops and data format conversions12min
Simple Plots with the Plots Package6min
Plotting Multiple Curves in a Single Diagram6min
Week 2: Getting Practice2min
How to do a Peer Graded Assignment8min
Reading1 leituras
What to expect from Week 210min
Quiz3 exercícios práticos
Data and Loops in Julia12min
Plots in Julia14min
Week 2 - Graded quiz20min
Semana
3
Horas para completar
6 horas para concluir

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 vídeos (total de (Total 107 mín.) min), 1 leitura, 4 testes
Video16 videos
SIR Models of Disease Dynamics15min
More on SIR Models6min
Plotting Data5min
Using the Data: A rough fit of the model parameters6min
Week 3 Getting practice1min
Practicing fitting a circle to data11min
Week 3 Wrap Up42s
User Defined Types: Introduction2min
User Defined Types: The Julia Type System & Declaring a Type7min
User Defined Types: Creating Your Own Type9min
User Defined Types: Conversion & Promotion & Parametrizing a Type7min
User Defined Types: Equality of Values & Types & Defining Methods for User Types6min
User Defined Types: More Complex Parameters12min
User Defined Types: Screen Output of User Defined Types2min
User Defined Types: Constraining Field Values11min
Reading1 leituras
What to expect from Week 310min
Quiz2 exercícios práticos
Making simple models4min
Models6min
Semana
4
Horas para completar
8 horas para concluir

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 vídeos (total de (Total 188 mín.) min), 3 leituras, 6 testes
Video35 videos
Collections: Creating Arrays10min
Collections: Slicing & Modifying Arrays4min
Collections: Comprehensions & Operations5min
Collections: Additional - NA & Tuples6min
Collections: Additional - Dictionaries10min
Collections: Recap1min
Functions: Introduction2min
Functions: Single & Multiple expression functions4min
Functions: Optional & Keyword Arguments5min
Functions: Variable Number of Arguments5min
Functions: Additional Passing Arrays as Arguments & Type Parameters7min
Functions: Additional - Stabby Functions & Passing Functions as Arguments4min
Functions: Recap1min
Data Frames: Introduction1min
Data Frames: Data Arrays & Data Frames5min
Data Frames: Get to Know your Data5min
Data Frames: Importing & Exporting2min
Data Frames: Joins & Groups10min
Data Frames: Sorting, Duplicates & NA6min
Data Frames: Renaming Columns2min
Data Frames: Recap1min
Data: Introduction1min
Data Vizualization: Randn & Distributions6min
Data Vizualization: Comparison6min
Data Vizualization: Plotly5min
Data Vizualization: Recap42s
Gadfly: Introduction2min
Gadfly: Simple plotting & Adding Layers7min
Gadfly: Using Themes8min
Gadfly: Adding Titles and Axis Labels & Saving a Plot & Importing Data into a DataFrame7min
Gadfly: Box Plots8min
Gadfly: Density Plots & Histogram & Violin Plots9min
Gadfly: QQ Plots & Scatter Plots & Vertical and Horizontal Lines8min
Gadfly: More Examples5min
Reading3 leituras
What to expect from week 410min
Packages - Local installation of Julia vs. juliabox.com10min
Completing the course10min
Quiz4 exercícios práticos
Collections10min
Functions10min
DataFrames and Data Visualizations10min
Working with data (Honors)12min

Instrutores

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Juan H Klopper

Dr
Department of Surgery
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Henri Laurie

Dr
Department of Mathematics and Applied Mathematics

Sobre University of Cape Town

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....

Perguntas Frequentes – FAQ

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