Admission requirements
Required:
Data Science and AI, or
Introduction to Programming
Description
The course aims to provide the necessary introductory knowledge about artificial intelligence(AI), its current and future impact, and its applications on real life problems.
On the one hand, we cover macro-topics including (but are not limited to) the definition of AI, the historical challenges that accompanied its development, and how generative AI is impacting the way we think and work in different fields. On the other, joint with these topics, we will introduce essential concepts for designing and applying AI solutions such as combinatorial explosion, approximation, optimisation, stochasticity, learning, and others.
Students will be tasked to plan, apply AI approaches to their field of interest, and reflect upon their results.
Course Objectives
Remember the fundamental steps in the history of AI
Remember the meaning of fundamental concepts for AI
Understand how AI developed and how this impacts its current state
Understand the opportunities and limitations of AI approaches
Evaluate the appropriateness of AI solutions to specific problems
Apply AI algorithms to one's field of interest
Timetable
Timetables for courses offered at Leiden University College in 2025-2026 will be published on this page of the e-Prospectus.
Mode of instruction
Lectures and workshops.
Assessment Method
Two assignments 40% (20% x 2) (end week 3 and end week 6)
In-class exams 30% (15% x 2) (week 4 and week 7)
One final assignment 30% (end reading week)
Reading list
TBA
Registration
Courses offered at Leiden University College (LUC) are usually only open to LUC students and LUC exchange students. Leiden University students who participate in one of the university’s Honours tracks or programmes may register for one LUC course, if availability permits. Registration is coordinated by the Education Coordinator, course.administration@luc.leidenuniv.nl.
Contact
Giulio Barbero, g.barbero@liacs.leidenuniv.nl
Remarks
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