MODULE TYPE: SDG11 / TRANSVERSAL

MODULE DESCRIPTION

The course gives an introduction to AI. What is AI? AI in problem solving. Real world AI. Machine learning. Neural networks. Implications.

LEARNING OUTCOMES

Intended learning outcomes:
 Distinguish between realistic and unrealistic AI (science fiction vs. real life)
 Express some basic philosophical problems related to AI
 Formulate a simple real-world problem as a search problem
 Explain why machine learning techniques are used
 Understand the technical methods that underpin neural networks
 Understand the difficulty in predicting the future and be able to better evaluate the claims made about AI
 Identify some of the major societal implications of AI

Module level: Basic/Advanced

Degree level: Bachelor / Master

Language: Swedish/English

Study mode: Online

SDG11 Theme: 

ECTS: 2

Semester: Spring/Autumn

Starting date: Flexible, on-line

Finishing date: Flexible, on-line

Enrollment period: Open for summer period

Summer and Winter period 15/3 - 19/4

Additional Info: A very popular course - applications still open for summer 2022

If you have any questions, please contact international@ffk.liu.se.

Participation form: Please follow the instructions and apply via our portal