Key words
Objectives
Earlier automation was restricted to information processing
For operational processes with stable and simple rules, like invoicing, stock management or accounting. The kind of problems really for which you can buy off the shelf programs.
Recently more complex problems have been tackled. The rules are more complex and less stable, maybe even conflicting. For these challenges a new generation of information technologists is needed. How do you search for a solution when no algorithm is available, how can you support teamwork, how to use expert knowledge?
Topics
* Exploration of the domain
* Expert systems and their history
* Heuristic search
* Self learning systems
* Artificial neural nets
* Genetic algorithms
* Data mining
* Text to speech and speech to text
Prerequisites
Standard terms of Informatics.
No special prerequisites of artificial intelligence
Final Objectives
Materials used
Teacher's course, scientific & technical literature
Study costs
± € 7,50
Study guidance
Teaching Methods
Lectures, case studies
Assessment
Oral examination
Lecturer(s)
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