Palacký University Olomouc
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for academic year 2024/2025
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Course: Emerging Technologies in Business Environment

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Course title Emerging Technologies in Business Environment
Course code KMA/ETB
Organizational form of instruction Seminar
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 2
Language of instruction English
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Novák Lukáš, Ing. Ph.D.
Course content
1. Business Informatics 2. Cloud Computing 3. System Integration 4. Robotic Process Automation 5. Data Analytics 6. Business Intelligence 7. Artificial Intelligence in Business Applications 8. Principles of Emerging Technologies Regulation

Learning activities and teaching methods
Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming)
Learning outcomes
The main goal of the course is to gain broad knowledge of the latest approaches and technologies and their use in key business areas.
The course will include the acquisition of theoretical knowledge and practically applicable knowledge needed to perform analytical work, specification of requirements, implementation and operation of a new solution.
Prerequisites
Understanding of IS/ICT and data analytics basics.

Assessment methods and criteria
Seminar Work

Semester project and its presentation.
Recommended literature
  • Buchalcevová, A. (2018). Zlepšování procesů při budování informačních systémů. Praha, Oeconomica, nakladatelství VŠE.
  • Burda, K. (2019). Kryptografie okolo nás. Praha, CZ.NIC.
  • Gála, L., Pour, J., Šedivá, Z. (2009). Podniková informatika. 2., přeprac. a aktualiz. vyd.. Praha, Grada. Expert (Grada).
  • Chollet, F. (2019). Deep learning v jazyku Python: knihovny Keras, Tensorflow. Praha, Grada Publishing. Knihovna programátora (Grada).
  • Kelleher, J. D., Tierney, B. (2018). Data science. Cambridge, Massachusetts, The MIT Press.
  • Kolouch, J., Bašta, P. (2019). CyberSecurity. Praha, CZ.NIC.
  • Merianda, S. (2018). Robotic Process Automation Tools, Process Automation and their benefits: Understanding RPA and Intelligent Automation. CreateSpace Independent Publishing Platform, 46 s.
  • NICE RPA TEAM. (2018). Robotic Process Automation NICE Special Edition. Chichester: John Wiley & Sons, Ltd., 60 s.
  • Ould, M. A. (2005). Business process management: a rigorous approach. Swindon, British Computer Society, 346 s.
  • Pecinovský, R. (2020). Python: kompletní příručka jazyka pro verzi 3.8. Praha, Grada Publishing.
  • Pilgrim, M. (2014). Ponořme se do Python(u) 3. CZ.NIC.
  • Svatá, V. (2016). Audit informačního systému. Praha, Oeconomica, nakladatelství VŠE.
  • Tripathi, A. M. (2018). Learning robotic process automation: create software robots and automate business processes with the leading RPA tool - UiPath2018. Birmingham: Packt Publishing, 345 s.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Business Mathematics (2021) Category: Mathematics courses 3 Recommended year of study:3, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Data Science (2020) Category: Mathematics courses 3 Recommended year of study:3, Recommended semester: Summer
Palacký University Olomouc, date of update: 01.05.2025 23:59. Data created for academic year 2024/2025