Learning Outcomes

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