Elements of AI - ETE318

Information Technology and Communication Sciences - 2 ECTS

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: 

You can start the course almost anytime you want as the course is an online course with flexible admission.

Finishing date: 

Enrollment period: TBA

Link to the course description: https://liu.se/en/education/course/ete318

Additional Info:

A very popular course - applications still open for summer 2020; full / closed for autumn applications; open for the spring semster 2021

Provider University: Linköping University

The admission is currently possible for learners from ECIU partner universities. Please fill this document and send it to the admission-contact person: international.office@liu.se