Course: Artificial Intelligence credits: 5
- Course code
- ELVH22IAI
- Name
- Artificial Intelligence
- Study year
- 2022-2023
- ECTS credits
- 5
- Language
- English
- Coordinator
- P.J. Kamphuis
- Modes of delivery
-
- Education
- Assessments
-
- Artificial Intelligence - Assignment
Learning outcomes
- • The student understands the basic concepts of Artificial Intelligence (AI)
• The student can judge whether AI techniques can be used to address a given problem
• The student can decide which (if any) problem solving method from AI is most suitable to address a given problem
• The student can implement various AI techniques and apply them in a practical setting
• The student knows the relations between AI and other components of an IoT system
Content
In this course various concepts from the field of Artificial Intelligence (AI) will be addressed:
- Overview of the field of AI
- Machine learning, artificial neural networks, supervised and unsupervised learning
- Clustering methods, classification methods
- Multi-dimensional data analysis, dimensionality reduction
- Generalisation, anomaly detection
- AI in practice, applications of AI
Included in programme(s)
School(s)
- Institute of Engineering