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 Scientific Programming
Offert par
Julia Scientific Programming
Université du Cap
À propos de ce cours
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Résultats de carrière des étudiants
33%
ont commencé une nouvelle carrière après avoir terminé ce cours
30%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
Compétences que vous acquerrez
Julia (Programming Language)Computer ProgrammingIpythonData Visualization (DataViz)
Résultats de carrière des étudiants
33%
ont commencé une nouvelle carrière après avoir terminé ce cours
30%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
100 % en ligne
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Dates limites flexibles
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Niveau débutant
Approx. 23 heures pour terminer
Recommandé : 4 weeks of study, 3-4 hours per week
Anglais
Sous-titres : Anglais
Programme du cours : ce que vous apprendrez dans ce cours
5 heures pour terminer
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 heures pour terminer
15 vidéos (Total 146 min), 5 lectures, 7 quiz
15 vidéos
Julia version 1.048s
Programming languages and why Julia is special6 min
Getting Ready: JuliaBox15 min
The Julia REPL - Read, Evaluate and Print Loop9 min
Arithmetical expressions10 min
Logical expressions12 min
Julia's Type System17 min
Variables in Julia16 min
Functions in Julia17 min
User-defined functions - part 19 min
User-defined functions - part 26 min
Week 1: Getting Practice3 min
Installing Juno using Julia9 min
Installing Julia Pro8 min
5 lectures
How this course works10 min
What to expect from Week 110 min
Using Jupyter Notebooks10 min
Logical expressions10 min
Approach to assessment in course10 min
7 exercices pour s'entraîner
Is this course right for me?10 min
JuliaBox and the Julia REPL14 min
Arithmetical and logical expressions in Julia14 min
Types and Arrays in Julia12 min
Julia functions12 min
Week 1 - Graded Quiz20 min
What makes Julia special?6 min
4 heures pour terminer
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 heures pour terminer
9 vidéos (Total 74 min), 1 lecture, 4 quiz
9 vidéos
The Ebola Epidemic of 20148 min
Loading data using Julia8 min
Creating .csv from data tables4 min
For Loops and Date-Time Formats18 min
Simple plots with the Plots package9 min
Multiple curves in a single diagram13 min
Week 2: Getting Practice2 min
How to do a Peer Graded Assignment8 min
1 lectures
What to expect from Week 210 min
3 exercices pour s'entraîner
Data and Loops in Julia12 min
Plots in Julia14 min
Week 2 - Graded Quiz20 min
4 heures pour terminer
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 heures pour terminer
9 vidéos (Total 76 min), 1 lecture, 3 quiz
9 vidéos
SIR Models of Disease Dynamics9 min
The SIR model in Julia code18 min
More on SIR Models13 min
Plotting Data and an Approximately Fitted Line Simultaneously9 min
Using the Data - fitting the model parameters11 min
Week 3: Getting practice1 min
Practicing fitting a circle to data11 min
Week 3: Wrap Up42s
1 lectures
What to expect from Week 310 min
2 exercices pour s'entraîner
Making simple models4 min
Models6 min
4 heures pour terminer
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 heures pour terminer
9 vidéos (Total 62 min), 4 lectures, 4 quiz
9 vidéos
Installing packages for this lesson4 min
Creating simulated data7 min
Descriptive statistics4 min
Creating a dataframe7 min
Descriptive statistics9 min
Visualizing data10 min
Inferential statistics11 min
Exporting data as a csv file2 min
4 lectures
What to expect from Week 410 min
Packages - Local installation of Julia vs. juliabox.com10 min
Week 4: Wrap-up10 min
Honors material10 min
3 exercices pour s'entraîner
Week 4 - Graded Quiz10 min
Collections10 min
Functions10 min
Avis
4.5
Meilleurs avis pour JULIA SCIENTIFIC PROGRAMMING
par SPJan 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.
par RBJun 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.
par SKSep 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!
par NPAug 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"
par KWMar 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.
par SMMar 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.
par MSNov 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.
par MKMar 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.
À propos de Université du Cap
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.
Foire Aux Questions
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Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
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