Fundamentals of Artificial Intelligence

About the course

This course has been designed for everyone who is interested in learning what artificial intelligence is, what its origins are, and what it is used for. The concepts discussed herein are explained in simple language and illustrated with numerous examples, which makes learning new things pleasantly easy.

The course consists of five short chapters:

  Introduction

  What is an algorithm??

  How do machines learn?

  How to evaluate the quality of artificial intelligence?

  Conclusion

Despite the predetermined order of the chapters, you are free to choose any section you are interested in and read it at your own pace and at any time you find it convenient. The course can be completed in 1 hour.

Course goals:

  show how an algorithm works,

  teach how to create a game tree,

  become familiar with selected types of machine learning (supervised learning, unsupervised learning, reinforcement learning),

  show how the k-nearest neighbors classifier algorithm operates,

  become familiar with the tests to evaluate the quality of artificial intelligence, e.g. the Turing Test, the Chinese Room.

Course completion conditions:

At the end of the course you will find a test of knowledge comprising 10 single-choice questions. If you score at least 60%, the system will generate a course completion certificate.

Course staff:

Course evaluator:

Marek Kozłowski, Ph.D., Eng.

Assistant professor at the National Information Processing Institute (OPI PIB).He took his PhD in engineering from the Faculty of Electronics and Information Technology of the Warsaw University of Technology (dissertation title: “Word sense discovery using frequent term sets”).He is a graduate of information technology studies at the Warsaw University of Technology and economic studies at the University of Warsaw. His research is focused on natural language processing, discovering knowledge in text corpora and on the internet, and, broadly, machine learning. At the National Information Processing Institute he has run various IT projects the scope of which has ranged from engineering to research and development.

Lecturers:

Maja Odolińska

NAVOICA analyst at the National Information Processing Institute. She is responsible for analyzing the functionality of the NAVOICA platform and its development. Previously, she was involved in developing e-learning courses and creating instructional materials for users of other systems developed at OPI PIB.

Sylwia Zarańska

Senior training specialist at the National Information Processing Institute. She is responsible for creating on-line courses materials and running in-person trainings for the users of the systems created at the National Information Processing Institute.