Elements of AI is an online module that you can do at any time and in any pace at https://www.elementsofai.com/. The module is a self study module of the online material and is examined through self correcting and peer reviewed exercises. When you have completed Elements of AI you can register to this module to get your results validated. To verify that you have really taken the online course, you have to upload your certificate from Elements of AI and do a validation test with questions similar to the ones in the online module. For more information see the following website: ETE318 Elements of AI - Course Information.
micro-module
Elements of AI
Elements of AI
What is AI? Learn more about the basics and core concepts of artificial intelligence.
Open for application
Description
The module aims to give an introduction and overview of artificial intelligence. The focus is on basic and important components of AI: problem solving, neural network, AI techniques such as search and machine learning as well as consequences of AI on society.
The Team
FH
Fredrik Heintz
Teacher
83 learners
- Topics
- Study format
- Online
- Application period
- 1 August 2024 – 12 January 2025
- Study period
- 19 August 2024 – 19 January 2025
- Credits
- 2 ECTS
- Pace
- 0%
- Hosting university
- Linkoping University
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Learning outcomes
Formulate a research problem
Formulate a simple real-world problem as a search problem.
ESCO SKILLS
Bayesian reasoning
Explain the base-rate fallacy and how to avoid it by applying Bayesian reasoning.
ESCO SKILLS
Basic programming
Understand the technical methods that underpin neural networks.
ESCO SKILLS
Basic knowledge about AI
Distinguish between realistic and unrealistic AI (science fiction vs. real life).
ESCO SKILLS
Machine learning techniques
Explain why machine learning techniques are used.
ESCO SKILLS
Classification methods
Explain the principles of some supervised classification methods.
ESCO SKILLS
Ability to evaluate
Understand the difficulty in predicting the future and be able to better evaluate the claims made about AI.
ESCO SKILLS
Societal implications
Identify some of the major societal implications of AI.
ESCO SKILLS
Bayes rule
Apply the Bayes rule to infer risks in simple scenarios.
ESCO SKILLS
Machine learning scenarios
Distinguish between unsupervised and supervised machine learning scenarios.
ESCO SKILLS
Neutral networks
Explain what a neural network is and where they are being successfully used.
ESCO SKILLS
Critical thinking
Express some basic philosophical problems related to AI.
ESCO SKILLS
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Information
Elements of AI is an online module that you can do at any time and in any pace at https://www.elementsofai.com/. The module is a self study module of the online material and is examined through self correcting and peer reviewed exercises. When you have completed Elements of AI you can register to this module to get your results validated. To verify that you have really taken the online course, you have to upload your certificate from Elements of AI and do a validation test with questions similar to the ones in the online module. For more information see the following website: ETE318 Elements of AI - Course Information.
Hosting university
Linkoping University
