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416 ratings

Juan H Klopper +1 more instructor

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Julia Scientific Programming

University of Cape Town

About this Course

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

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Beginner Level

Approx. 18 hours to complete

English

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Skills you will gain

Julia (Programming Language)
Computer Programming
Ipython
Data Visualization (DataViz)

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Beginner Level

Approx. 18 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.49/5 (78 Ratings)

Juan H Klopper

Department of Surgery

181,070 Learners

3 Courses

Henri Laurie

Department of Mathematics and Applied Mathematics

34,821 Learners

1 Course

Offered by

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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Syllabus - What you will learn from this course

Content Rating94%(4,003 ratings)

Week1

Week 1

7 hours to complete

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

7 hours to complete

16 videos (Total 145 min), 6 readings, 7 quizzes

16 videos

Introduction to Julia scientific programming2mJulia version 1.048sProgramming languages and why Julia is special6mGetting Ready: Julia programming environments11mThe Julia REPL - Read, Evaluate and Print Loop9mArithmetical expressions10mLogical expressions12mJulia's Type System17mVariables in Julia16mFunctions in Julia17mUser-defined functions - part 19mUser-defined functions - part 26mWeek 1: Getting Practice3mInstalling IJulia (using Jupyter Notebook)2mInstalling Juno using Julia (*as of 2022 Juno support has been discontinued - we recommend either Jupyter Notebook or Julia VS Code Extension)9mInstalling Julia Pro (*as of 2022 Juno support has been discontinued - we recommend either Jupyter Notebook or Julia VS Code Extension)8m

6 readings

How this course works10mWhat to expect from Week 110mUsing Jupyter Notebooks10mLogical expressions10mMultiple Dispatch in Julia15mApproach to assessment in course10m

7 practice exercises

Is this course right for me?30mJulia REPL and the notebook30mArithmetical and logical expressions in Julia30mTypes and Arrays in Julia30mJulia functions30mWeek 1 - Graded Quiz30mWhat makes Julia special?30m

Week2

Week 2

4 hours to complete

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 hours to complete

9 videos (Total 74 min), 1 reading, 4 quizzes

9 videos

Introduction to Week 240sThe Ebola Epidemic of 20148mLoading data using Julia8mCreating .csv from data tables4mFor Loops and Date-Time Formats18mSimple plots with the Plots package9mMultiple curves in a single diagram13mWeek 2: Getting Practice2mHow to do a Peer Graded Assignment8m

1 reading

What to expect from Week 210m

3 practice exercises

Data and Loops in Julia30mPlots in Julia30mWeek 2 - Graded Quiz20m

Week3

Week 3

3 hours to complete

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.

3 hours to complete

9 videos (Total 76 min), 1 reading, 3 quizzes

Week4

Week 4

4 hours to complete

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 hours to complete

9 videos (Total 62 min), 4 readings, 4 quizzes

9 videos

Using Julia for descriptive statistics3mInstalling packages for this lesson4mCreating simulated data7mDescriptive statistics4mCreating a dataframe7mDescriptive statistics9mVisualizing data10mInferential statistics11mExporting data as a csv file2m

4 readings

What to expect from Week 410mPackage installation and troubleshooting in Julia10mWeek 4: Wrap-up10mHonors material10m

3 practice exercises

Week 4 - Graded Quiz10mCollections30mFunctions30m

Reviews

4.4

145 reviews

5 stars
61.96%
4 stars
26.07%
3 stars
7.41%
2 stars
1.67%
1 star
2.87%

TOP REVIEWS FROM JULIA SCIENTIFIC PROGRAMMING

by 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.

by BBJul 18, 2021

Great course on Julia, the info is a bit old (uses 1.0 vs 1.6 current release). Other than that, a lot of good information and usage of Julia for scientific programming.

by ADFeb 27, 2018

Good course with good content. I didn't like so much the grading with peer review, as it delayed my completion of the course. Nevertheless, a good course.

by BCAug 22, 2020

An enthusiastic and very organized course on scientific omputing using Julia. Using a real world example as the main task material. Highly reccomend.

View all reviews

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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Julia Scientific Programming

Julia Scientific Programming

About this Course

Skills you will gain