Information Systems D: Artificial Intelligence
Syllabus, Master's level, 2IS009
This course has been discontinued.
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Information Systems A1N
- Grading system
- Fail (U), Pass (G), Pass with distinction (VG)
- Finalised by
- The Department Board, 26 August 2010
- Responsible department
- Department of Informatics and Media
90 credits in information systems or equivalent
Regarding knowledge and understanding, the student on completion at the course is expected to
- be able to account for the basic principles of artificial
- understand problem-solving through search, knowledge representation and reasoning
- be able to account for the historical background to the subject artificial intelligence,and its development and connection to other subject areas.
Regarding skills and ability the student on completion of the course is expected to
- carry out formalisation and programming of a number basic problem solving methods, knowledge presentation forms and types of automated reasoning.
Regarding assessment skills and view, the student on completion of the course is expected to.
- be able to evaluate the applicability of basic AI techniques in different knowledge domains
- be able to take position to the balance between to find solutions efficient or exhaustive.
Introduction to the concepts consciousness, intelligence, knowledge and learning
Lectures about artificial intelligence
Problem-solving through search
Search methods "Constraint Satisfaction Problems"
Knowledge and arguments; intelligent agents, logical agents
First order logic, logical inference, knowledge representation
Inductive logic programming
Lectures, Lessons, Seminars, Laboratory sessions
Written exam and assignment.