Elements of AI
Elements of AI
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Description
The course aims to give an introduction and overview of artificial intelligence. The focus is on understanding the concept and some important techniques such as search and machine learning as well as consequences of AI on society.
The Team
Teamchers
These are the teamchers you'll work with on the challenge.
Learners
- Study period
- 21 August 2023 – 14 January 2024
- Study format
- Online
- Application period
- 15 August 2023 – 1 January 2024
- Credits
- 2 ECTS
- Hosting university
- Linkoping University
- Topics
Information
Value and progress
Basic knowledge I
Distinguish between realistic and unrealistic AI (science fiction vs. real life).
ESCO SKILLS
Critical thinking I
Express some basic philosophical problems related to AI.
ESCO SKILLS
Application of theory I
Formulate a simple real-world problem as a search problem.
ESCO SKILLS
Application of theory II
Apply the Bayes rule to infer risks in simple scenarios.
ESCO SKILLS
Application of theory III
Explain the base-rate fallacy and how to avoid it by applying Bayesian reasoning.
ESCO SKILLS
Basic knowledge II
Distinguish between unsupervised and supervised machine learning scenarios.
ESCO SKILLS
Knowledge II
Explain the principles of some supervised classification methods.
ESCO SKILLS
Knowledge III
Explain what a neural network is and where they are being successfully used.
ESCO SKILLS
Knowledge IV
Understand the technical methods that underpin neural networks.
ESCO SKILLS
Critical thinking II
Understand the difficulty in predicting the future and be able to better evaluate the claims made about AI.
ESCO SKILLS
Critical thinking III
Identify some of the major societal implications of AI.
ESCO SKILLS
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Hosting university
Linkoping University
