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).
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Julia Scientific Programming
Кейптаунский университетОб этом курсе
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Начальный уровень
Прибл. 18 часов на выполнение
Английский
Субтитры: Французский, Португальский (бразильский), Русский, Английский, Испанский
Приобретаемые навыки
Julia (Programming Language)Computer ProgrammingIpythonData Visualization (DataViz)
Карьерные результаты учащихся
22%
начал новую карьеру, пройдя эти курсы
23%
получил значимые преимущества в карьере благодаря этому курсу
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
100% онлайн
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Начальный уровень
Прибл. 18 часов на выполнение
Английский
Субтитры: Французский, Португальский (бразильский), Русский, Английский, Испанский
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Кейптаунский университет
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.
Программа курса: что вы изучите
7 ч. на завершение
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
7 ч. на завершение
15 видео ((всего 146 мин.)), 5 материалов для самостоятельного изучения, 7 тестов
15 видео
Julia version 1.048
Programming languages and why Julia is special6мин
Getting Ready: Julia programming environments15мин
The Julia REPL - Read, Evaluate and Print Loop9мин
Arithmetical expressions10мин
Logical expressions12мин
Julia's Type System17мин
Variables in Julia16мин
Functions in Julia17мин
User-defined functions - part 19мин
User-defined functions - part 26мин
Week 1: Getting Practice3мин
Installing Juno using Julia9мин
Installing Julia Pro8мин
5 материалов для самостоятельного изучения
How this course works10мин
What to expect from Week 110мин
Using Jupyter Notebooks10мин
Logical expressions10мин
Approach to assessment in course10мин
7 практических упражнений
Is this course right for me?30мин
Julia REPL and the notebook30мин
Arithmetical and logical expressions in Julia30мин
Types and Arrays in Julia30мин
Julia functions30мин
Week 1 - Graded Quiz30мин
What makes Julia special?30мин
4 ч. на завершение
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.
4 ч. на завершение
9 видео ((всего 74 мин.)), 1 материал для самостоятельного изучения, 4 тестов
9 видео
The Ebola Epidemic of 20148мин
Loading data using Julia8мин
Creating .csv from data tables4мин
For Loops and Date-Time Formats18мин
Simple plots with the Plots package9мин
Multiple curves in a single diagram13мин
Week 2: Getting Practice2мин
How to do a Peer Graded Assignment8мин
1 материал для самостоятельного изучения
What to expect from Week 210мин
3 практических упражнения
Data and Loops in Julia30мин
Plots in Julia30мин
Week 2 - Graded Quiz20мин
3 ч. на завершение
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.
3 ч. на завершение
9 видео ((всего 76 мин.)), 1 материал для самостоятельного изучения, 3 тестов
9 видео
SIR Models of Disease Dynamics9мин
The SIR model in Julia code18мин
More on SIR Models13мин
Plotting Data and an Approximately Fitted Line Simultaneously9мин
Using the Data - fitting the model parameters11мин
Week 3: Getting practice1мин
Practicing fitting a circle to data11мин
Week 3: Wrap Up42
1 материал для самостоятельного изучения
What to expect from Week 310мин
2 практических упражнения
Making simple models30мин
Models30мин
4 ч. на завершение
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.
4 ч. на завершение
9 видео ((всего 62 мин.)), 4 материалов для самостоятельного изучения, 4 тестов
9 видео
Installing packages for this lesson4мин
Creating simulated data7мин
Descriptive statistics4мин
Creating a dataframe7мин
Descriptive statistics9мин
Visualizing data10мин
Inferential statistics11мин
Exporting data as a csv file2мин
4 материала для самостоятельного изучения
What to expect from Week 410мин
Packages - Local installation of Julia vs. juliabox.com10мин
Week 4: Wrap-up10мин
Honors material10мин
3 практических упражнения
Week 4 - Graded Quiz10мин
Collections30мин
Functions30мин
Рецензии
Лучшие отзывы о курсе JULIA SCIENTIFIC PROGRAMMING
от партнера SP26 янв. 2018 г.
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.
от партнера RB23 июня 2017 г.
The course started out well wit goof balance between lectures and applications during the first three weeks. Towards the end it felt rushed with too much content crammed into the last week.
от партнера SK14 сент. 2019 г.
Amazing course! I learned a lot during this course. The assignments made me improve my coding skills and the questions were challenging enough. The instructors are engaging and innovative!
от партнера NP5 авг. 2017 г.
It was very exciting. I widen further, my computing horizons Hope, that the university will launch in the near future, a more advanced course of "Julia Scientific Programming"
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