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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
# 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
