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).
Julia is designed to address the requirements of high-performance numerical and scientific computing while also being effective for general-purpose programming. You will be able to access all the available processors and memory, scrape data from anywhere on the web, and have it always accessible through any device you care to use as long as it has a browser. Join us to discover new computing possibilities. Let's get started on learning Julia.
By the end of the course you will be able to:
- Programme using the Julia language by practising through assignments
- Write your own simple Julia programs from scratch
- Understand the advantages and capacities of Julia as a computing language
- Work in Jupyter notebooks using the Julia language
- Use various Julia packages such as Plots, DataFrames and Stats
The course is delivered through video lectures, on-screen demonstrations, quizzes and practical peer-reviewed projects designed to give you an opportunity to work with the packages.
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开普敦大学
課程信息
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17,928您將獲得的技能
Julia (Programming Language)Computer ProgrammingIpythonData Visualization (DataViz)
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 5 小時
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 個視頻 （總計 138 分鐘）, 4 個閱讀材料, 7 個測驗
14 個視頻
Julia version 1.048
Programming languages and why Julia is special6分鐘
Getting Ready: JuliaBox15分鐘
The Julia REPL - Read, Evaluate and Print Loop9分鐘
Arithmetical expressions10分鐘
Logical expressions12分鐘
Julia's Type System17分鐘
Variables in Julia16分鐘
Functions in Julia17分鐘
User-defined functions - part 19分鐘
User-defined functions - part 26分鐘
Week 1: Getting Practice3分鐘
Installing Juno using Julia 1.09分鐘
4 個閱讀材料
How this course works10分鐘
What to expect from Week 110分鐘
Using Jupyter Notebooks10分鐘
Approach to assessment in course10分鐘
7 個練習
Is this course right for me?10分鐘
JuliaBox and the Julia REPL14分鐘
Arithmetical and logical expressions in Julia14分鐘
Types and Arrays in Julia12分鐘
Julia functions12分鐘
Week 1 - Graded Quiz20分鐘
What makes Julia special?6分鐘
週
2完成時間為 4 小時
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 個視頻 （總計 74 分鐘）, 1 個閱讀材料, 4 個測驗
9 個視頻
The Ebola Epidemic of 20148分鐘
Loading data using Julia8分鐘
Creating .csv from data tables4分鐘
For Loops and Date-Time Formats18分鐘
Simple plots with the Plots package9分鐘
Multiple curves in a single diagram13分鐘
Week 2: Getting Practice2分鐘
How to do a Peer Graded Assignment8分鐘
1 個閱讀材料
What to expect from Week 210分鐘
3 個練習
Data and Loops in Julia12分鐘
Plots in Julia14分鐘
Week 2 - Graded Quiz20分鐘
週
3完成時間為 4 小時
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 個視頻 （總計 76 分鐘）, 1 個閱讀材料, 3 個測驗
9 個視頻
SIR Models of Disease Dynamics9分鐘
The SIR model in Julia code18分鐘
More on SIR Models13分鐘
Plotting Data and an Approximately Fitted Line Simultaneously9分鐘
Using the Data - fitting the model parameters11分鐘
Week 3: Getting practice1分鐘
Practicing fitting a circle to data11分鐘
Week 3: Wrap Up42
1 個閱讀材料
What to expect from Week 310分鐘
2 個練習
Making simple models4分鐘
Models6分鐘
週
4完成時間為 4 小時
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 個視頻 （總計 62 分鐘）, 4 個閱讀材料, 4 個測驗
9 個視頻
Installing packages for this lesson4分鐘
Creating simulated data7分鐘
Descriptive statistics4分鐘
Creating a dataframe7分鐘
Descriptive statistics9分鐘
Visualizing data10分鐘
Inferential statistics11分鐘
Exporting data as a csv file2分鐘
4 個閱讀材料
What to expect from Week 410分鐘
Packages - Local installation of Julia vs. juliabox.com10分鐘
Week 4: Wrap-up10分鐘
Honors material10分鐘
3 個練習
Week 4 - Graded Quiz10分鐘
Collections10分鐘
Functions10分鐘
4.5
54 個審閱33%
完成這些課程後已開始新的職業生涯
22%
通過此課程獲得實實在在的工作福利
熱門審閱
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.
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"
講師
Juan H Klopper
DrDepartment of Surgery
Henri Laurie
DrDepartment of Mathematics and Applied Mathematics
關於 开普敦大学
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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