ENLIGHT joint courses

AI for everyone 2025

This course is intended as a broad introduction to the topic of Artificial Intelligence and its significance to a broad range of global challenges, and related areas of study. The content is designed primarily for non-computer science participants that can bring their own background knowledge and expertise to a range of learning activities.  

About the course

Content

The course is led by University of Galway and will be delivered in a blended format and by several ENLIGHT universities. It will first provide 9 weeks of virtual training, which will mostly consist of pre-recorded video lectures and readings. Knowledge and skills are assessed at the end of each thematic module. In most cases, the students need to take a multiple-choice test focused on main concepts delivered during the lectures. A positive performance (i.e. at least 80%) allows the students to move to the next thematic module and is a pre-requirement for the participation in the on-site week. The evaluation is passed/failed. Successfully passing all the topics of the virtual weeks and an active participation at the on-site week is required. 

During the immersive week students will meet with the lecturers and discuss the impact of the topics introduced in the virtual part. The second part of the on-site experience will be meetings with external stakeholders using AI, practical implementation of AI, group work and discussions.

Learning outcomes

Upon completion of the course, the students will be able to:

  • understand basic concepts of artificial intelligence and machine learning
  • grasp the main concepts of artificial neural networks, probabilistic computation and reinforcement learning
  • gain insight into what kinds of problems can be approached by AI
  • learn about societal issues related to AI (ethics, law, impact)

Programme

The course will cover several topics using blended learning. Students are required to follow a set of online lectures before attending the in-class meeting on the set topic during the study week in Galway.

Topics covered*

  1. Intro: history, development, how AI started in mid-20th century
  2. Core concepts: Intelligence, computation and model building
  3. Supervised approaches
  4. Reinforcement learning
  5. Ethics of AI
  6. Legal aspects of AI
  7. AI and machine learning in recommender systems
  8. User-centered design of AI interfaces/interaction design
  9. Impact of AI on society

*The ordering and scope of these are subject to change.

Timing

  • 9 weeks of Online Content (13th January – 16th March)
  • Immersive Week @ University of Galway (7th April – 11th April)

Assessment

0-10 numerical scale (5=pass); active participation at the on-site meeting is required.

Lecturers

  • Dr. Enda Howley, University of Galway
  • Dr. Bastiaan Baccarne, University of Gent
  • Dr. Igor Farkas, Comenius University, Bratislava

Course dates

On-site period: 7th April – 11th April in Galway.

Online period: 13th January – 16th March.

    Practical Details

    Entry requirements: B2 level in English
    Courses – Focus area: Digitalisation
    Study Field: Science and Technology
    Type: blended intensive programme (Erasmus+ funding)
    Host: University of Galway
    Course dates: 13 January - 11 April 2025
    Apply by: 15 November 2024
    ECTS: 5 - 6 (depending on your institution)
    Number of places available: 5 per partner university
    Level: Bachelor, Master 1