B_AUI Applied Artificial Intelligence

University of Finance and Administration
Winter 2024
Extent and Intensity
2/0/0. 3 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. Ing. Naděžda Petrů, Ph.D. (seminar tutor)
Guaranteed by
doc. Ing. Naděžda Petrů, Ph.D.
Subdepartment of Management and Marketing – Department of Economics and Management – Departments – University of Finance and Administration
Contact Person: Ivana Plačková
Timetable of Seminar Groups
B_AUI/pEKFMPPPH: each odd Monday 15:45–16:29 E007KC, each odd Monday 16:30–17:15 E007KC, each odd Monday 17:30–18:14 E007KC, each odd Monday 18:15–19:00 E007KC, N. Petrů
B_AUI/pEKKV: each odd Tuesday 14:00–14:44 KV202, each odd Tuesday 14:45–15:30 KV202, each odd Tuesday 15:45–16:29 KV202, each odd Tuesday 16:30–17:15 KV202, N. Petrů
B_AUI/vEKPH: Sat 5. 10. 14:00–15:30 E225, 15:45–17:15 E225, Sat 19. 10. 9:45–11:15 E225, 11:30–13:00 E225, Sat 30. 11. 14:00–15:30 E225, 15:45–17:15 E225, N. Petrů
Prerequisites
Tento předmět nemá žádné předpoklady.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The course Applied Artificial Intelligence provides a comprehensive overview of the history, basic principles and application possibilities of artificial intelligence (AI) in various fields. The aim of the course is to familiarize students with the basic principles of machine learning, neural networks, deep learning and natural language processing. Sub-goals: to create prerequisites for the development of students' abilities to work with data through AI tools, to motivate them for their use across a wide range of fields: in industry, security, forensics, business, marketing, financial services, education, multimedia, video games and artistic creation. Emphasis is also placed on the legal aspects, ethics and social impact of AI.
Learning outcomes
At the end of this course the student will:
- Acquires knowledge of basic concepts related to AI.
- Understand the importance of AI for different activities in different fields.
- Can search for good practice examples of using AI.
- Will realize the importance of AI for different fields and will work with specific AI tools.
- Can assess the advantages and disadvantages, risks and opportunities of AI.
​
Syllabus
  • 1. Introduction to the subject Applied artificial intelligence: History and classification. Team project assignment.
  • 2. Machine learning, neural networks, deep learning – basic principles.
  • 3. Artificial intelligence in industry.
  • 4. Natural language processing (NLP): Applications in linguistics and communication
  • 5. Security, forensics and criminal law in the context of AI.
  • 6. AI in business and management: Automation of business and decision-making processes.
  • 7. AI in marketing and e-commerce: Data analysis and communication with customers.
  • 8. AI in financial services: Algorithms for trading, risk management and predictive analytics.
  • 9. AI in education: Adaptive learning systems, gamification and immersive learning.
  • 10. Application of artificial intelligence in multimedia, video games and artistic creation.
  • 11. Legal aspects, ethics and social impact of AI.
  • 12. The future of AI and new technological trends.
Literature
    required literature
  • KNIHOVÁ L. AI Marketing Playbook: Jak ChatGPT a umělá inteligence mění svět marketingu, 2024. ISBN 978-80-271-5226-1.
  • JANOŠCOVÁ, R. 2016. Computer aided of knowledge discovery in databases. In: International Conference on Management - Trends of Management in the Contemporary Society. - Brno: Mendel
  • DŘÍMALKA F. Budoucnost nepráce. 2023. ISBN 978-80-11-03715-4
    recommended literature
  • Kolektiv autorů. Jednoduše: umělá inteligence. 2023. ISBN 9788024292939
  • VALDA V. Rozhovory s umělou inteligencí. 2023. ISBN 978-80-908235-2-5
  • RUSSELL, S. J., & NORVIG, P. 2021. Artificial Intelligence: A Modern Approach, 4th Edition, Global. Harlow, UK
  • BERKA, P. 4IZ450 – Dobývání znalostí z databází. Praha: VŠE, 2006 - 2021. https://sorry.vse.cz/~berka/4IZ450/
  • JAMSA, K. Introduction to Data Mining and Analytics. Burlington : Jones & Bartlett Learning, 2021. ISBN: 9781284180909. EBSCO (e-kniha, dostupná přes IS VŠFS)
  • NAQVI, Al. Artificial Intelligence for Audit, Forensic Accounting, and Valuation : A Strategic Perspective, John Wiley & Sons, Incorporated, 2020. ProQuest Ebook Central.ISBN:9781119601883.ProQuest Ebook (e-kniha přes IS VŠFS)
Teaching methods
Teaching in the daily form of study - Lectures will usually include a lecture part (theory, new knowledge including practical examples) and a practical part (case study, application, tool). Part of the lecture may include a discussion on the given topic, group work, etc. Part of it may be the assignment of subjects for home preparation for the following lesson. Emphasis will be placed not on exact thinking, creativity, the ability of expert discussion, working with information, etc. AI will be presented on a scientific and then practical basis as a sequence of interconnected activities, projects, processes, business strategies, etc.
Teaching in the combined form of study will take place in the form of guided consultation, where, in addition to a condensed presentation of the topic, prior self-study is also expected, so that subsequent consultation, exchange of opinions and experiences on the given topic is possible. - In both forms - case studies of data analysis using methods of knowledge acquisition.
Assessment methods
The subject is completed with a CREDIT (3 credits).
CREDIT - Full-time study: Granting of credit is tied to:
- Elaboration of a team project according to the focus of the students (in the selected AI tool).
CREDIT - Combined study: Granting of credit is tied to:
- the same as for full-time students - development of an AI team project.
ATTENTION: For all forms it is necessary:
- submission of work according to the assignment in the drop-off office.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Teacher's information
Study materials (lectures, video recordings, ...) of the subject can be found in IS VŠFS

CONTACTS for the teacher: guarantor Ing. Radek Turčáni - 30499@mail.vsfs.cz.

teacher - doc. Ing. Naděžda Petrů, petru.nada@mail.vsfs.cz.


CONSULTATION: information can be found on the personal pages of teachers in IS VŠFS (Teaching).


ISP and REPEATING students: Contact your teacher at the beginning of the semester (first - second week) and agree on the specific conditions of attendance and evaluation.


WE RECOMMEND submitting an application for inclusion in a timetabled (seminar) group to a specific teacheraccording to the instructions from the study department.

The course is also listed under the following terms Summer 2024, Summer 2025, Winter 2025, Summer 2026.
  • Enrolment Statistics (Winter 2024, recent)
  • Permalink: https://is.vsfs.cz/course/vsfs/winter2024/B_AUI