INF-3910-6 Computer Science Seminar: Introduction to Artificial Intelligence and Applied Methods
Professor Anne Håkansson, Department of computer science (UiT) will be responsible for the course. The language of instruction is English and all of the syllabus material is in English.
The content of this seminar will be:
- AI techniques for different application areas
- Presentation of chosen project and demonstration of prototype for AI project
The course gives an overview of Artificial Intelligence and Applied Methods. The focus is on several different areas of Artificial Intelligence with AI-problems, and Methods and includes areas such as: Intelligent /Knowledge-based systems, Agent / multi-agent systems, Machine Learning, Artificial Neural Networks, Natural language processing and strategies.
The course addresses classic principles for design and implementation of AI systems and applications and discusses emerging trends from the international research front.
Particularly, the following topics will be addressed:
- Fundamental AI problems and solutions including search algorithms and planning, knowledge representation forms and knowledge including reasoning strategies, decision support and heuristics.
- Decision-support systems
- Intelligent agents and multi-agent systems
- Machine learning and neural networks.
- Automatic analysis and generation of natural language.
The focus is on using artificial intelligence techniques to develop systems for different problems.
Course objectives and other course info: INF-3910-6 Computer Science Seminar: Introduction to Artificial Intelligence and Applied Methods
If you have professional / technical questions you can contact Professor Anne Håkansson.
For master level students in computer science. Note also that recommended prerequisites in mathematics are MAT-1004 Linear algebra in addition to MAT-0001 / MAT-1001, MAT-1005 and STA-0001 / STA-1001.