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

I am an associate professor at the Institute of Information Engineering , the University of Miskolc, HUNGARY. I am a Mechanical Engineer and my PhD is in Science and Technology. I have dealt with different kinds of courses in Mechanical Engineering, Production Engineering, Material Science, and Mechatronics as well as artificial Intelligence and Artificial Neural Networks in education and research work. My activities are in connection with BSc, MSc and PhD students. Artificial Intelligence and its sub-branch Artificial Neural Networks along with Material Science are my stimulating areas of Research and Development works. Although there are many definitions given by scientists and researchers concerning this broad area of science (Artificial Intelligence), and in spite of the fact, that we accept them with honor and without any skepticism, I think the interested students or learners in this area should understand AI with thinking and enough knowledge. Reading itself is not enough, but the learner must ask themselves, ”What is it for?” From my point view everythings belong to nature and us..., this interesting area can start from the human being nature and brain. In a way, Artificial Intelligence is a very young research subject in comparison with other sciences, but it gets progress very quickly. In the end, I have to remind you, there are almost seven and half a milliard (Billion) Population in our Glob. It is obvious all need food, shelters, clothes, medicine, doctors and millions of other facilities. In this respect we can not ignore the fact that we need Artificial Intelligence (Artificial Agents) assistance. Of course it is only an opinion I could be wrong.

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Dr. László Dudás

László Dudás is an associate professor and head of the Information Engineering Department at the Institute of Information Engineering , the University of Miskolc, Hungary. 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

I think as 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 those students and learners, who are interested in further reading and more knowledge I suggest the "Artificial Intelligence A Modern Approach" by Stuart J. Russell and Peter Norvig.

  1. Course Number

  2. Classes Start

    Nov 19, 2015
  3. Classes End

    Jan 20, 2016
  4. Estimated Effort