M13-Building Interactive Apps with Shiny© in R

Starts on 18.04.2023

AI and Data Science


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° DA22-23-M13 EN
Tags: Postacademische opleiding



Shiny offers the ability to implement interactive interfaces to R code. The framework gained a lot of traction in recent years, and is used to create a wild variety of dashboards.

While many shiny applications run on servers, recent additions make it possible to include interactivity in R notebooks and R Markdown documents, build interfaces into packages or distribute them as github repositories.

In this course we cover the basics of Shiny and reactive programming, the paradigm on which shiny is built.

We cover the following topics:

  • The basics of shiny applications
  • Controlling the layout (front end)
  • Reactive programming (back end)
  • Deployment of shiny apps in different formats
  • Debugging and profiling your code for speed
  • Use of modules (if time allows)

Participants will have ample opportunity to practice hands-on the concepts learnt.

Fees and registration

Fees and registration form are available on the website of the Academy for Lifelong Learning of the Faculty of Sciences (UGent).

Target audience

Are you a researcher, data manager or related professional from the academic world or the industry? Are you an experienced R user who wants to provide interfaces to your code? Then this course is for you.

Course prerequisites

The participants are expected to be fluent in R, including the use of functions and visualisation using ggplot. The material covered in Module 10 of this year's program is considered known.

Exam / Certificate

There is no exam connected to this module. Participants who attend in all five classes receive a certificate of attendance via e-mail at the end of the course.

Type of course

This is an on campus course. We offer blended learning options if, exceptionally, you can't attend a session on campus.


Five Tuesday evenings in April and May 2023: April 18 and 25, May 2, 9 and 16, 2023, from 5.30 pm to 9 pm


Faculty of Science, Campus Sterre, Krijgslaan 281, Building S9, Ghent

Course material

  • Exercises and slides provided by the instructor
  • Cheat cheets and online manuals provided by the instructor

Click here to see the overview of all modules in this year's course in Data Analysis

Course number:
Short- en long-term programmes
Area of interest:
AI and Data Science, Sciences
Academic year:
2022 - 2023
Starting date:
Joris Meys
Contact person:

Campus Sterre

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