Artificial Intelligence

Relations:

It is not possible to register for the course 32BC-P-UMIN-01 if the student is concurrently registered for or has already completed the course U77C0006 (mutually exclusive courses).

During a review of study plans, the course U77C0006 can be substituted for the course 32BC-P-UMIN-01.

It is not possible to register for the course 32BC-P-UMIN-01 if the student is concurrently registered for or has already completed the course 32BE-P-ARTT-01 (mutually exclusive courses).

It is not possible to register for the course 32BC-P-UMIN-01 and for the course 32BE-P-ARTT-01 in the same semester.

It is not possible to register for the course 32BC-P-UMIN-01 if the student is concurrently registered for or has previously completed the course 32BE-P-ARTT-01 (mutually exclusive courses).

Course guarantor:

Olga Štěpánková

Lecturer:

Martin Macaš, Olga Štěpánková

Tutor:

Martin Macaš, Olga Štěpánková

Supervisor:

Institute of Economic Studies

Synopsis:

The course introduces students to the basic goals of artificial intelligence (AI), focusing on explaining simple principles used in solving some AI tasks without assuming prior technical knowledge. The lectures point out the close connection of AI to many other scientific and technical fields, whose results AI uses and inspires or helps to implement new ones. Special attention is also paid to ethical issues and the impact of AI on society.

Requirements:

Enrolled students are expected to be willing to use their knowledge of high school mathematics.

Syllabus of lectures:

1. Introduction to the subject of artificial intelligence (AI). History, goals and achievements. The impact of AI on society.

2. The importance of knowledge in AI, its acquisition and use. Logic as one of the tools for working with knowledge.

3. How AI works: basic principles and concepts (algorithm, model, ). State space as a means of representing a task. Typical tasks

4. Solving a task in a state space using search. The danger of combinatorial explosion and its consequences.

5. Choosing heuristics and algorithms for informed search. Examples of practical applications of search and the importance of optimization.

6. Fundamentals of machine learning (ML). Types of ML tasks and data needed to implement them.

7. Examples of some simple algorithms used to solve ML tasks.

8. How neural networks work.

9. Use of UI and ML applications in practice.

10. Language technologies and chatbots.

11. Generative models.

12. Regression and anomaly detection

13. Time series forecasting and its use.

14. Joint final recapitulation.

Syllabus of tutorials:

Exercises follow the content of the lectures

Study Objective:

The course aims to arouse students' interest in the practical use of AI tools in their (future) work environment and to introduce them to how to proceed towards this goal.

Study materials:

see Moodle web page of the subject

Note:

Further information:

viz Moodle a Teams předmětu

Time-table for winter semester 2025/2026:

Time-table is not available yet

Time-table for summer semester 2025/2026:

Time-table is not available yet

The course is a part of the following study plans:

• B-EM-P prezenční studium od 20/21 (compulsory elective course)
• B-EM-P prezenční studium od 21/22 (compulsory elective course)
• B-EM-P prezenční studium od 22/23 (compulsory elective course)
• B0413P050061 Ekonomika a management (profesní studijní program) - počínaje od ZS 2023/2024 (compulsory elective course)
• B0413P050061 Ekonomika a management (OZ101 Marketing) od ZS 2023/2024 (compulsory elective course)
• B0413P050061 Ekonomika a management (OZ102 Personální management) od ZS 2023/2024 (compulsory elective course)
• B0413P050061 Ekonomika a management (OZ103 Řízení firemních procesů) od ZS 2023/2024 (compulsory elective course)
• B0413P050061 Ekonomika a management (OZ104 Účetnictví) od ZS 2023/2024 (compulsory elective course)
• B0413P050061 Ekonomika a management (OZ105 Manažerská informatika) od ZS 2023/2024 (compulsory elective course)
• B0413P050061 Ekonomika a management (OZ106 Obchodní podnikání) od ZS 2023/2024 (compulsory elective course)