Introduction to Artificial Intelligence

The course aims at making students learn and understand whatever human being can do, artificial intelligence also perform more efficiently with the least potential human energy.
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About this Course

The course covers the basic concepts of Artificial Intelligence (AI). It consists of eleven chapters (main sections), with four sub-sections (titles) to each chapter. And each of them (titles) contains four or more units (slides) plus one or two slides for self-testig purposes. The materials are partly collected from the case studies, literature review and somewhat the lecture presentation, which the author has provided during the academic activities with respect to own experiences.The course mainly concentates on artificial intelligence, intelligent agents (software agents and physical agents), the brief history of artificial intelligence, expert systems, knowledge reresentation and semantic networks, principles of cognitive psychology, evolutionary lgorithms , introduction to genetic algorithms, basic concepts on principles of Artificial Neural Networks (ANN), backpropagation, examples and illustrations concening the introduction to artificial intelligent.

The aims of the Artificial Intelligence and its importance as academic course make students learn how to apply this branch of science in robotics, machine translators,voice recognizer systems, medical problems, replacing human power by artificially made machines, industrial application of artificial intelligence, airplanes, aircrafts, smart mobility, and whatever human being can do, artificial intelligence can also perform them much more easily with the least potential human energy.


The students who take this course are required to have basic knowledge in mathematics, physics and in information science. Good command of English language is obligatory.

Course Staff

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Dr. Samad Dadvandipour

Samad Dadvandipour is an associate professor in the Institute of Information Science at the University of Miskolc, HUNGARY. He has got his master degree in Mechanical Engineer. His Ph.D. degree in Information Science and Technology focused on Production Information Science. As a researcher and professor dealing with different kinds of training courses in Computer Integrated Manufacturing (CIM), Mechanical Engineering, Production Engineering, Material Science, Enterprise Resource planning, Mechatronics, Artificial Intelligence (AI)and Artificial Neural Networks (ANN) in educational areas.His activities are in connection with BSc, MSc and Ph.D. students. AI and its sub-branch ANN along with production information Science are the stimulating areas of his research works. He has more than 70 International publications and has taken part in many international conferences. He was also a member of International Committee of some International conferences and peer-reviewer of International journals too. Concerning his connection with AI and Artificial Neural networks declares that this very young field cover a broad area of sciences and research and development. Despite the fact, it grows up very fast, as it involves most of the basic sciences. The future is the era of digitalization; then it is obvious the AI has a very significant role providing the creative and intelligent environment.

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Dr. László Dudás

László Dudás is an associate professor. He received his MSc degree in manufacturing engineering with specialisation in system organization from this University in 1980, and PhD degree in Engineering Science as a scholar of Hungarian Scientific Academy in 1992.For his scientific and educational work he has received the "Signum Aureum Facultatis" medal of the University of Miskolc. He is the owner of three inventions and has published more than 80 articles in scientific journals and conference proceedings. His research interests include symbolic algebraic computation, pattern matching, computer graphics and modelling of connection of conjugate surfaces. Dr.László Dudás is a member of the editorial board of the Production Systems and Information Engineering Proceedings.

About the Course Textbook

The course provides learners with the „Basic Principles in Artificial Intelligent”, the materials may be enough. Furthermore, there are free online documents, lecture notes, and references with their links, which are accessible. But "Artificial Intelligence A Modern Approach" by Stuart J. Russell and Peter Norvig is recommended.

  1. Course Number

  2. Classes Start

    Nov 19, 2015
  3. Classes End

    Jan 20, 2016
  4. Estimated Effort