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13M081VINT - Artificial Intelligence

Course specification
Course title Artificial Intelligence
Acronym 13M081VINT
Study programme Electrical Engineering and Computing
Module Applied Mathematics, Audio and Video Communications, Audio and Video Technologies, Biomedical and Environmental Engineering, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics, Electronics and Digital Systems, Energy Efficiency, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering, System Engineering and Radio Communications
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition
    The goal Familiarize students with basic concepts of artificial intelligence, its subfields and applications in mathematics, computer science and electrical engineering.
    The outcome Student is capable to recognize and solve some electrical engineering problems and computer science problems using appropriate ideas, techniques and methods of artificial intelligence.
    Contents
    Contents of lectures Artificial intelligence - overview of history and application areas. Intelligent systems and problem solving. Knowledge, reasoning, planning. Uncertain knowledge and planning. Automated reasoning and acting. Machine learning and teaching. Communicating, observing and acting - elements of robotics.
    Contents of exercises Solving diverse problems related to the theoretical component of the course.
    Literature
    1. S. Kleene: "Introduction to Metamathematics", North-Holland, 1952.
    2. L. Wallen: " Automated Proof -Search in Non-classical Logic", MIT Press, 1990.
    3. L. Wos at all: " Automated Reasoning: Intoroduction and Applications" McGraw-Hill, 1992.
    4. L. Wos: " Journal of Automated Reasoning, Special Issue: Advances in Logic Through Automated Reasoning" , L. Wos, ed., Vol. 27, No. 2, 2001.
    5. G. Luger, W. A. Stubblefield: " Artificial Intelligence: Structures and Strategies for Complex Problem Solving", The Benjamin/Cummings PublishingCompany, Inc. 1993.
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 1
    Methods of teaching Lectures, exercises with solving problems, homeworks, discussions.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 30
    Practical lessons Oral examination 0
    Projects 70
    Colloquia
    Seminars