Knowledge

Upon completion of the course, students should be able to

• describe AI in terms of the analysis and design of intelligent agents or systems that interact with their environments -explain relevant AI terminology, models, and algorithms used for problem solving

Skills

Upon completion of the course, students should be able to

• model problems in suitable state space depending on choice of solution method
• simulate models and solve problems by means of AI methods, e.g., search algorithms or computational intelligence
• analyse models, AI methods, and simulation results

General competence

Upon completion of the course, students should be able to

• read and understand scientific publications and textbooks on AI and reformulate the presented problems, choice of methods, and results in a short, concise manner
• discuss and communicate advantages and limitations of selected AI methods for problem solving