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Lecturer(s)
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Černá Milena, doc. Ing. Ph.D.
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Course content
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Introduction to Business Intelligence (BI) - the significance of BI for managerial and corporate decision-making; working with data: key concepts, data analysis in the context of business management; practical examples of BI applications in various areas of business; overview of basic BI tools and their use in managerial practice. BI as support for managerial decision-making - BI in human resources and HR; BI in procurement processes; in project management; in production etc. BI for effective corporate management - the use of BI to improve managerial decision-making; practical examples from various management areas; BI as a tool for adaptation to change. BI and business opportunities - the fundamental impact of BI on business; BI as an opportunity for small and medium-sized enterprises and a source of competitive advantage. Challenges and issues in implementing BI - obstacles and challenges in the adoption of BI in businesses. Introduction to Artificial Intelligence (AI) - the role of AI in the modern business environment; key concepts and applications in practice; overview of tools for AI. AI for innovation in corporate management - AI in human resources and HR; AI in procurement, supply chain management, production; AI in operations and manufacturing, etc. AI and business opportunities - the fundamental impact of AI on business; practical examples of AI applications in corporate activities; AI as an opportunity for small and medium-sized enterprises. AI and ethics in business - ethical questions related to AI in corporate management. Summary, discussion, the importance of AI and BI for the business environment.
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Learning activities and teaching methods
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- Contact hours
- 39 hours per semester
- Undergraduate study programme term essay (20-40)
- 35 hours per semester
- Preparation for an examination (30-60)
- 30 hours per semester
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| prerequisite |
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| Knowledge |
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| Apply basic knowledge of business economics in specific situations. |
| Skills |
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| Perceive fundamental trends in the development of modern management and company governance. |
| Competences |
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| N/A |
| learning outcomes |
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| Knowledge |
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| Understanding the fundamental principles and tools of BI and AI and their importance for business management. |
| The ability to identify opportunities for the use of BI and AI in the business environment. |
| Knowledge of ethical and organizational aspects related to the implementation of BI and AI. |
| Skills |
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| Applying BI and AI tools to solve practical problems in business management. |
| Analyzing business data and interpreting results to support decision-making. |
| Proposing basic approaches for utilizing BI and AI tools to address specific business needs. |
| Competences |
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| N/A |
| N/A |
| teaching methods |
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| Knowledge |
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| Lecture |
| Practicum |
| Individual study |
| Students' portfolio |
| Multimedia supported teaching |
| Skills |
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| Multimedia supported teaching |
| Self-study of literature |
| Individual study |
| Students' portfolio |
| Discussion |
| Competences |
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| Lecture |
| Self-study of literature |
| assessment methods |
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| Knowledge |
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| Seminar work |
| Written exam |
| Skills |
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| Continuous assessment |
| Seminar work |
| Skills demonstration during practicum |
| Written exam |
| Competences |
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| Seminar work |
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Recommended literature
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Davenport, T. H., & Harris, J. G. Competing on analytics: The new science of winning. Boston, USA. 2017.
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Eubanks, V. Automating inequality: How high-tech tools profile, police, and punish the poor. New York, USA. 2018.
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Russell, S., & Norvig, P. Artificial intelligence: A modern approach. Boston, USA. 2020.
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Sharda, R., Delen, D., & Turban, E. usiness intelligence, analytics, data science, and AI: A managerial perspective. Boston, USA. 2023.
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