Modern technology and artificial intelligence

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Applied Mathematics

Synopsis:

Students will get acquainted with selected tools that can be used for data acquisition and processing and subsequently for their analysis and visualization. Using real data and problems, the basics of machine learning and artificial intelligence will be explained. In the next part of the course, the acquired knowledge will be used to work with tools for working with image data. In the last part of the course, students will get acquainted with the basics of robotics, especially agent systems and motion planning.

Requirements:

Syllabus of lectures:

1.Data processing and tools for visualization.

2.Formulation and demonstration of machine learning problems.

3.Models for supervised learning and the process of their creation.

4.Unsupervised learning.

5.Machine vision and physical nature.

6.Optics and calibration of the sensing system.

7.Image pre-processing.

8.Image segmentation.

9.Intelligent agents.

10.Heuristic searching.

11.Planning and execution of the plan.

12.Robotics (laboratories).

Syllabus of tutorials:

The exercises develop the content of the lecture with a didactic dimension, students will try practicing these topics from a didactic point of view.

Study Objective:

Introducing the student to the basics of working with data. The basic means will be working with real data and working with laboratory technology, where students will directly test the possibilities of using relevant devices, cameras and robots in teaching.

Study materials:

Mandatory:

Introduction to Machine Learning, Alpaydin E., MIT Press 2020, ISBN 9780262043793

Recommended:

Russel S., Norvig P.: Artfcial Intelligence: A Modern Approach (4th Edition). Prentice Hall, 2020. ISBN 978-0134610993.

Sundararajan D., Digital Image Processing: A Signal Processing and Algorithmic Approach, Springer, 2017

Note:

Further information:

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No time-table has been prepared for this course

The course is a part of the following study plans:

• Teaching Informatics for Secondary Schools (compulsory course in the program)