Acerca de este Curso
4.5
129 calificaciones
47 revisiones
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel principiante

Nivel principiante

Horas para completar

Aprox. 24 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

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

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel principiante

Nivel principiante

Horas para completar

Aprox. 24 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
Horas para completar
5 horas para completar

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 videos (Total 160 min), 4 readings, 7 quizzes
Video19 videos
New versions of Julia - 1.0m
Programming Languages and why Julia is special4m
Getting Ready: JuliaBox Part 111m
Getting Ready: JuliaBox Part 25m
The Julia REPL - Read, Evaluate and Print Loop9m
Arithmetic Expressions7m
Logical expressions11m
Types: Julia Type System12m
Arrays and Abstract types10m
Functions I - built-in functions8m
Functions II - user-defined functions6m
Week 1: Getting Practice3m
How to Install Julia on Mac OS X14m
Installing Julia on Linux13m
Installing Julia on Windows17m
Opening notebooks in IJulia1m
Installing Juno using Julia 1.09m
Copy of Installing Juno using Julia 1.09m
Reading4 lecturas
How this course works10m
What to expect from Week 110m
Using Jupyter Notebooks10m
Approach to assessment in course10m
Quiz7 ejercicios de práctica
Is this course right for me?10m
JuliaBox and the Julia REPL14m
Arithmetic and logical expressions in Julia14m
Types and Arrays in Julia12m
Julia functions12m
Week 1 Graded Quiz20m
What makes Julia special?6m
Semana
2
Horas para completar
4 horas para completar

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 videos (Total 50 min), 1 reading, 4 quizzes
Video9 videos
The Ebola Epidemic of 20144m
Loading data5m
Creating CSV files (Optional)3m
"For" Loops and data format conversions12m
Simple Plots with the Plots Package6m
Plotting Multiple Curves in a Single Diagram6m
Week 2: Getting Practice2m
How to do a Peer Graded Assignment8m
Reading1 lectura
What to expect from Week 210m
Quiz3 ejercicios de práctica
Data and Loops in Julia12m
Plots in Julia14m
Week 2 - Graded quiz20m
Semana
3
Horas para completar
6 horas para completar

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 videos (Total 107 min), 1 reading, 4 quizzes
Video16 videos
SIR Models of Disease Dynamics15m
More on SIR Models6m
Plotting Data5m
Using the Data: A rough fit of the model parameters6m
Week 3 Getting practice1m
Practicing fitting a circle to data11m
Week 3 Wrap Upm
User Defined Types: Introduction2m
User Defined Types: The Julia Type System & Declaring a Type7m
User Defined Types: Creating Your Own Type9m
User Defined Types: Conversion & Promotion & Parametrizing a Type7m
User Defined Types: Equality of Values & Types & Defining Methods for User Types6m
User Defined Types: More Complex Parameters12m
User Defined Types: Screen Output of User Defined Types2m
User Defined Types: Constraining Field Values11m
Reading1 lectura
What to expect from Week 310m
Quiz2 ejercicios de práctica
Making simple models4m
Models6m
Semana
4
Horas para completar
8 horas para completar

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 videos (Total 188 min), 3 readings, 6 quizzes
Video35 videos
Collections: Creating Arrays10m
Collections: Slicing & Modifying Arrays4m
Collections: Comprehensions & Operations5m
Collections: Additional - NA & Tuples6m
Collections: Additional - Dictionaries10m
Collections: Recap1m
Functions: Introduction2m
Functions: Single & Multiple expression functions4m
Functions: Optional & Keyword Arguments5m
Functions: Variable Number of Arguments5m
Functions: Additional Passing Arrays as Arguments & Type Parameters7m
Functions: Additional - Stabby Functions & Passing Functions as Arguments4m
Functions: Recap1m
Data Frames: Introduction1m
Data Frames: Data Arrays & Data Frames5m
Data Frames: Get to Know your Data5m
Data Frames: Importing & Exporting2m
Data Frames: Joins & Groups10m
Data Frames: Sorting, Duplicates & NA6m
Data Frames: Renaming Columns2m
Data Frames: Recap1m
Data: Introduction1m
Data Vizualization: Randn & Distributions6m
Data Vizualization: Comparison6m
Data Vizualization: Plotly5m
Data Vizualization: Recapm
Gadfly: Introduction2m
Gadfly: Simple plotting & Adding Layers7m
Gadfly: Using Themes8m
Gadfly: Adding Titles and Axis Labels & Saving a Plot & Importing Data into a DataFrame7m
Gadfly: Box Plots8m
Gadfly: Density Plots & Histogram & Violin Plots9m
Gadfly: QQ Plots & Scatter Plots & Vertical and Horizontal Lines8m
Gadfly: More Examples5m
Reading3 lecturas
What to expect from week 410m
Packages - Local installation of Julia vs. juliabox.com10m
Completing the course10m
Quiz4 ejercicios de práctica
Collections10m
Functions10m
DataFrames and Data Visualizations10m
Working with data (Honors)12m

Instructores

Avatar

Juan H Klopper

Dr
Department of Surgery
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Henri Laurie

Dr
Department of Mathematics and Applied Mathematics

Acerca de 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....

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando compras un Certificado, obtienes acceso a todos los materiales del curso, incluidas las tareas calificadas. Una vez que completes el curso, se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes participar del curso como oyente sin costo.

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