Об этом курсе
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Прибл. 24 часа на выполнение

Предполагаемая нагрузка: 4 weeks of study, 3-4 hours per week ...
Доступные языки

Английский

Субтитры: Английский

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Julia (Programming Language)Computer ProgrammingIpythonData Visualization (DataViz)
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Назначьте сроки сдачи в соответствии со своим графиком.
Начальный уровень

Начальный уровень

Часов на завершение

Прибл. 24 часа на выполнение

Предполагаемая нагрузка: 4 weeks of study, 3-4 hours per week ...
Доступные языки

Английский

Субтитры: Английский

Программа курса: что вы изучите

Неделя
1
Часов на завершение
5 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. 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 видео ((всего 160 мин.)), 4 материалов для самостоятельного изучения, 7 тестов
Video19 видео
New versions of Julia - 1.048s
Programming Languages and why Julia is special4мин
Getting Ready: JuliaBox Part 111мин
Getting Ready: JuliaBox Part 25мин
The Julia REPL - Read, Evaluate and Print Loop9мин
Arithmetic Expressions7мин
Logical expressions11мин
Types: Julia Type System12мин
Arrays and Abstract types10мин
Functions I - built-in functions8мин
Functions II - user-defined functions6мин
Week 1: Getting Practice3мин
How to Install Julia on Mac OS X14мин
Installing Julia on Linux13мин
Installing Julia on Windows17мин
Opening notebooks in IJulia1мин
Installing Juno using Julia 1.09мин
Copy of Installing Juno using Julia 1.09мин
Reading4 материала для самостоятельного изучения
How this course works10мин
What to expect from Week 110мин
Using Jupyter Notebooks10мин
Approach to assessment in course10мин
Quiz7 практического упражнения
Is this course right for me?10мин
JuliaBox and the Julia REPL14мин
Arithmetic and logical expressions in Julia14мин
Types and Arrays in Julia12мин
Julia functions12мин
Week 1 Graded Quiz20мин
What makes Julia special?6мин
Неделя
2
Часов на завершение
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....
Reading
9 видео ((всего 50 мин.)), 1 материал для самостоятельного изучения, 4 тестов
Video9 видео
The Ebola Epidemic of 20144мин
Loading data5мин
Creating CSV files (Optional)3мин
"For" Loops and data format conversions12мин
Simple Plots with the Plots Package6мин
Plotting Multiple Curves in a Single Diagram6мин
Week 2: Getting Practice2мин
How to do a Peer Graded Assignment8мин
Reading1 материал для самостоятельного изучения
What to expect from Week 210мин
Quiz3 практического упражнения
Data and Loops in Julia12мин
Plots in Julia14мин
Week 2 - Graded quiz20мин
Неделя
3
Часов на завершение
6 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....
Reading
16 видео ((всего 107 мин.)), 1 материал для самостоятельного изучения, 4 тестов
Video16 видео
SIR Models of Disease Dynamics15мин
More on SIR Models6мин
Plotting Data5мин
Using the Data: A rough fit of the model parameters6мин
Week 3 Getting practice1мин
Practicing fitting a circle to data11мин
Week 3 Wrap Up42s
User Defined Types: Introduction2мин
User Defined Types: The Julia Type System & Declaring a Type7мин
User Defined Types: Creating Your Own Type9мин
User Defined Types: Conversion & Promotion & Parametrizing a Type7мин
User Defined Types: Equality of Values & Types & Defining Methods for User Types6мин
User Defined Types: More Complex Parameters12мин
User Defined Types: Screen Output of User Defined Types2мин
User Defined Types: Constraining Field Values11мин
Reading1 материал для самостоятельного изучения
What to expect from Week 310мин
Quiz2 практического упражнения
Making simple models4мин
Models6мин
Неделя
4
Часов на завершение
8 ч. на завершение

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 видео ((всего 188 мин.)), 3 материалов для самостоятельного изучения, 6 тестов
Video35 видео
Collections: Creating Arrays10мин
Collections: Slicing & Modifying Arrays4мин
Collections: Comprehensions & Operations5мин
Collections: Additional - NA & Tuples6мин
Collections: Additional - Dictionaries10мин
Collections: Recap1мин
Functions: Introduction2мин
Functions: Single & Multiple expression functions4мин
Functions: Optional & Keyword Arguments5мин
Functions: Variable Number of Arguments5мин
Functions: Additional Passing Arrays as Arguments & Type Parameters7мин
Functions: Additional - Stabby Functions & Passing Functions as Arguments4мин
Functions: Recap1мин
Data Frames: Introduction1мин
Data Frames: Data Arrays & Data Frames5мин
Data Frames: Get to Know your Data5мин
Data Frames: Importing & Exporting2мин
Data Frames: Joins & Groups10мин
Data Frames: Sorting, Duplicates & NA6мин
Data Frames: Renaming Columns2мин
Data Frames: Recap1мин
Data: Introduction1мин
Data Vizualization: Randn & Distributions6мин
Data Vizualization: Comparison6мин
Data Vizualization: Plotly5мин
Data Vizualization: Recap42s
Gadfly: Introduction2мин
Gadfly: Simple plotting & Adding Layers7мин
Gadfly: Using Themes8мин
Gadfly: Adding Titles and Axis Labels & Saving a Plot & Importing Data into a DataFrame7мин
Gadfly: Box Plots8мин
Gadfly: Density Plots & Histogram & Violin Plots9мин
Gadfly: QQ Plots & Scatter Plots & Vertical and Horizontal Lines8мин
Gadfly: More Examples5мин
Reading3 материала для самостоятельного изучения
What to expect from week 410мин
Packages - Local installation of Julia vs. juliabox.com10мин
Completing the course10мин
Quiz4 практического упражнения
Collections10мин
Functions10мин
DataFrames and Data Visualizations10мин
Working with data (Honors)12мин

Преподавателя

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Juan H Klopper

Dr
Department of Surgery
Avatar

Henri Laurie

Dr
Department of Mathematics and Applied Mathematics

О 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....

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