Informações sobre o curso
4.5
152 classificações
54 avaliações

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

Aprox. 24 horas para completar

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

Inglês

Legendas: Inglês

Habilidades que você terá

Julia (Programming Language)Computer ProgrammingIpythonData Visualization (DataViz)

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

Aprox. 24 horas para completar

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

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
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. 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 vídeos (total de (Total 138 mín.) min), 4 leituras, 7 testes
14 videos
Julia version 1.048s
Programming languages and why Julia is special6min
Getting Ready: JuliaBox15min
The Julia REPL - Read, Evaluate and Print Loop9min
Arithmetical expressions10min
Logical expressions12min
Julia's Type System17min
Variables in Julia16min
Functions in Julia17min
User-defined functions - part 19min
User-defined functions - part 26min
Week 1: Getting Practice3min
Installing Juno using Julia 1.09min
4 leituras
How this course works10min
What to expect from Week 110min
Using Jupyter Notebooks10min
Approach to assessment in course10min
7 exercícios práticos
Is this course right for me?10min
JuliaBox and the Julia REPL14min
Arithmetical and logical expressions in Julia14min
Types and Arrays in Julia12min
Julia functions12min
Week 1 - Graded Quiz20min
What makes Julia special?6min
Semana
2
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....
9 vídeos (total de (Total 74 mín.) min), 1 leitura, 4 testes
9 videos
The Ebola Epidemic of 20148min
Loading data using Julia8min
Creating .csv from data tables4min
For Loops and Date-Time Formats18min
Simple plots with the Plots package9min
Multiple curves in a single diagram13min
Week 2: Getting Practice2min
How to do a Peer Graded Assignment8min
1 leituras
What to expect from Week 210min
3 exercícios práticos
Data and Loops in Julia12min
Plots in Julia14min
Week 2 - Graded Quiz20min
Semana
3
4 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....
9 vídeos (total de (Total 76 mín.) min), 1 leitura, 3 testes
9 videos
SIR Models of Disease Dynamics9min
The SIR model in Julia code18min
More on SIR Models13min
Plotting Data and an Approximately Fitted Line Simultaneously9min
Using the Data - fitting the model parameters11min
Week 3: Getting practice1min
Practicing fitting a circle to data11min
Week 3: Wrap Up42s
1 leituras
What to expect from Week 310min
2 exercícios práticos
Making simple models4min
Models6min
Semana
4
4 horas para concluir

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 vídeos (total de (Total 62 mín.) min), 4 leituras, 4 testes
9 videos
Installing packages for this lesson4min
Creating simulated data7min
Descriptive statistics4min
Creating a dataframe7min
Descriptive statistics9min
Visualizing data10min
Inferential statistics11min
Exporting data as a csv file2min
4 leituras
What to expect from Week 410min
Packages - Local installation of Julia vs. juliabox.com10min
Week 4: Wrap-up10min
Honors material10min
3 exercícios práticos
Week 4 - Graded Quiz10min
Collections10min
Functions10min
4.5
54 avaliaçõesChevron Right

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comecei uma nova carreira após concluir estes cursos

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Melhores avaliações

por SPJan 27th 2018

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.

por NPAug 6th 2017

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"

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 Universidade da Cidade do Cabo

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....

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