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).
提供：
Julia Scientific Programming
ケープタウン大学（University of Cape Town）
このコースについて
39,532 最近の表示
受講生の就業成果
33%
コース終了後に新しいキャリアをスタートした
30%
コースが具体的なキャリアアップにつながった
習得するスキル
Julia (Programming Language)Computer ProgrammingIpythonData Visualization (DataViz)
受講生の就業成果
33%
コース終了後に新しいキャリアをスタートした
30%
コースが具体的なキャリアアップにつながった
100%オンライン
自分のスケジュールですぐに学習を始めてください。
柔軟性のある期限
スケジュールに従って期限をリセットします。
初級レベル
約23時間で修了
推奨：4 weeks of study, 3-4 hours per week
英語
字幕：英語
シラバス - 本コースの学習内容
5時間で修了
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
5時間で修了
15件のビデオ （合計146分）, 5 readings, 7 quizzes
15件のビデオ
Julia version 1.048
Programming languages and why Julia is special6 分
Getting Ready: JuliaBox15 分
The Julia REPL - Read, Evaluate and Print Loop9 分
Arithmetical expressions10 分
Logical expressions12 分
Julia's Type System17 分
Variables in Julia16 分
Functions in Julia17 分
User-defined functions - part 19 分
User-defined functions - part 26 分
Week 1: Getting Practice3 分
Installing Juno using Julia9 分
Installing Julia Pro8 分
5件の学習用教材
How this course works10 分
What to expect from Week 110 分
Using Jupyter Notebooks10 分
Logical expressions10 分
Approach to assessment in course10 分
7の練習問題
Is this course right for me?10 分
JuliaBox and the Julia REPL14 分
Arithmetical and logical expressions in Julia14 分
Types and Arrays in Julia12 分
Julia functions12 分
Week 1 - Graded Quiz20 分
What makes Julia special?6 分
4時間で修了
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時間で修了
9件のビデオ （合計74分）, 1 reading, 4 quizzes
9件のビデオ
The Ebola Epidemic of 20148 分
Loading data using Julia8 分
Creating .csv from data tables4 分
For Loops and Date-Time Formats18 分
Simple plots with the Plots package9 分
Multiple curves in a single diagram13 分
Week 2: Getting Practice2 分
How to do a Peer Graded Assignment8 分
1件の学習用教材
What to expect from Week 210 分
3の練習問題
Data and Loops in Julia12 分
Plots in Julia14 分
Week 2 - Graded Quiz20 分
4時間で修了
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.
4時間で修了
9件のビデオ （合計76分）, 1 reading, 3 quizzes
9件のビデオ
SIR Models of Disease Dynamics9 分
The SIR model in Julia code18 分
More on SIR Models13 分
Plotting Data and an Approximately Fitted Line Simultaneously9 分
Using the Data - fitting the model parameters11 分
Week 3: Getting practice1 分
Practicing fitting a circle to data11 分
Week 3: Wrap Up42
1件の学習用教材
What to expect from Week 310 分
2の練習問題
Making simple models4 分
Models6 分
4時間で修了
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時間で修了
9件のビデオ （合計62分）, 4 readings, 4 quizzes
9件のビデオ
Installing packages for this lesson4 分
Creating simulated data7 分
Descriptive statistics4 分
Creating a dataframe7 分
Descriptive statistics9 分
Visualizing data10 分
Inferential statistics11 分
Exporting data as a csv file2 分
4件の学習用教材
What to expect from Week 410 分
Packages - Local installation of Julia vs. juliabox.com10 分
Week 4: Wrap-up10 分
Honors material10 分
3の練習問題
Week 4 - Graded Quiz10 分
Collections10 分
Functions10 分
レビュー
4.5
JULIA SCIENTIFIC PROGRAMMING からの人気レビュー
SPによりJan 26, 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.
RBによりJun 23, 2017
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.
SKによりSep 14, 2019
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!
NPによりAug 5, 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"
KWによりMar 16, 2017
A clear and well presented course.\n\nSuitable for newcomers and relatively new users of Julia. The course notes (Jupyter notebooks) are a useful reference after the course.
SMによりMar 12, 2017
Good introductory course - but assignments can be made more interesting with actual problems in scientific areas or basic algorithms instead of command knowledge testing.
MSによりNov 21, 2017
The course was excellent. Thank you for all the work that has gone into this. I recommend it for anyone who wishes to start using Julia or is simply curious about Julia.
MKによりMar 19, 2020
Very good. So interesting and informative. Teaches a lot about Julia programming language and even helps out with describing new models and hand on experience.
提供：
ケープタウン大学（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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