UIINK00002 Elements of AI

Faculty of Philosophy and Science in Opava
Summer 2024
Extent and Intensity
0/2/0. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. Ing. Petr Sosík, Dr. (seminar tutor)
doc. Mgr. Petr Suchánek, Ph.D. (assistant)
Guaranteed by
doc. Ing. Petr Sosík, Dr.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Supplier department: Institute of Computer Science – Faculty of Philosophy and Science in Opava
Timetable of Seminar Groups
UIINK00002/A: Fri 23. 2. 13:05–13:50 MS, P. Suchánek
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Are you interested in how artificial intelligence can affect your work or your life? Do you want to learn more about what artificial intelligence means, how it is researched and what its practical uses are? Do you want to understand how artificial intelligence will develop in the coming years and how it will affect our lives? The Elements of AI course was prepared by MinnaLearn and the University of Helsinki. It aims to familiarize the public with artificial intelligence and show what can and cannot be achieved through it. In addition, participants of this course, which combines theory with practical tasks, will learn how to start creating methods based on artificial intelligence. The course can be taken at your own pace.
Learning outcomes
Upon successful completion of the course, students will understand the concepts of autonomy and adaptability in the context of artificial intelligence. They will understand the principles of the Turing test and its relevance to AI. They will learn to formulate real problems in such a way that they are suitable for solving using search techniques. Gain a basic understanding of neural networks and their structure. They will learn about the technical methods that form the basis for neural networks. They will realize the difficulty of predicting the future and expected developments in the field of AI. They will understand the main social impacts of artificial intelligence, including the issue of algorithmic bias and content generated by artificial intelligence.
Syllabus
  • 1. What is artificial intelligence? 2. Problem solving using artificial intelligence 3. Artificial intelligence in the real world 4. Machine learning 5. Neural networks 6. Consequences
Literature
  • Link to the course: https://www.elementsofai.cz/
Teaching methods
Interactive online course
Assessment methods
Online tests. To get a certificate, you must complete at least 90% of the tasks, of which at least 50% must be answered correctly. Correctness is calculated as the average correctness of all tasks completed (so all tasks have equal weight). Open answers are counted as 100% correct if they have been approved.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course can also be completed outside the examination period.
Teacher's information
https://www.elementsofai.cz/
The course is available in Czech: https://www.elementsofai.cz/, in English: https://www.elementsofai.com/ or in other languages (see the list on the course website). The certificate is automatically generated in the user's profile after completing the course. Credit will be granted after submitting the certificate to the relevant Homework Vault. There is one Homework Vault for OPF students and one for other university students.
The course is also listed under the following terms Summer 2025.
  • Enrolment Statistics (recent)
  • Permalink: https://is.slu.cz/course/fpf/summer2024/UIINK00002