Elements of AI - ETE318

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