ISKB82 AI in Practice: Skills for the Future and Better Services

Faculty of Arts
Spring 2025
Extent and Intensity
0/2. 4 credit(s). Type of Completion: k (colloquium).
Synchronous online teaching
Teacher(s)
PhDr. Petr Škyřík, Ph.D. (lecturer)
Mgr. Kateřina Švidrnochová (lecturer)
Guaranteed by
PhDr. Petr Škyřík, Ph.D.
Department of Information and Library Studies – Faculty of Arts
Contact Person: Mgr. Alice Lukavská
Supplier department: Department of Information and Library Studies – Faculty of Arts
Timetable
Thu 20. 2. 14:00–15:40 Virtuální místnost, Thu 6. 3. 14:00–15:40 Virtuální místnost, Thu 20. 3. 14:00–15:40 Virtuální místnost, Thu 3. 4. 14:00–15:40 Virtuální místnost, Thu 10. 4. 14:00–15:40 Virtuální místnost, Thu 24. 4. 14:00–15:40 Virtuální místnost, Thu 15. 5. 14:00–15:40 Virtuální místnost, Thu 22. 5. 14:00–15:40 Virtuální místnost
Prerequisites
The course is suitable for ISK and DIS students in both full-time and combined study formats. What's important is an interest in experimenting and desire to learn, with a proactive approach being ideal.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 40 student(s).
Current registration and enrolment status: enrolled: 40/40, only registered: 14/40
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to provide students with practical skills in artificial intelligence (AI) and its application in service design, data analysis, and innovations in the information environment. The course connects theoretical knowledge with applied methods and is based on experimentation with AI tools. Students will become familiar with modern AI technologies and their practical applications, learn to work effectively with generative AI, and master strategic approaches to designing innovative services. At the same time, students will develop critical thinking and learn to reflect on ethical and security aspects of AI. Emphasis is placed on individual and team projects that will reflect current and future challenges of the digital world. The course is designed to prepare students for work in a rapidly changing digital environment and help them develop key competencies for the 21st century.
Learning outcomes
During the course, students will acquire practical skills in working with AI, learn to effectively use AI tools in data analysis and service design, while developing critical thinking in the area of ethics and AI impacts. Emphasis is placed on applying AI in real projects, experimenting with technologies, and developing digital competencies for both current and future job markets.
After successfully completing the course, students will be able to:
Understand the basic principles of AI and its applications in the information environment and service design.
Effectively use AI tools for data analysis, research, and visual information processing.
Formulate and optimize prompts for various types of generative AI and obtain relevant outputs.
Design and prototype digital services and products using AI. Analyze and critically evaluate AI outputs with emphasis on their accuracy, bias, and practical usability.
Integrate ethical and security aspects into the design and use of AI solutions.
Present and defend their own AI-driven project with emphasis on clarity and strategic thinking.
This course will equip students with essential skills for working in the digital and innovation ecosystem and enable them to actively use AI as both a creative and analytical tool.
Syllabus
  • - Introduction to the topic, project brainstorming, design techniques
  • - AI fundamentals and prompting
  • - AI for data analysis and visualization
  • - AI in creative process and prototyping
  • - Service personalization using AI
  • - AI ethics and security
  • - AI and effective presentations
  • - AI and feedback, reflection
Literature
    recommended literature
  • This is service design doing, : applying service design thinking in the real world : a practitioners' handbook. Edited by Marc Stickdorn - Adam Lawrence - Markus Hormess - Jakob Schneider. Sebastopol, CA: O'Reilly Media, 2018, xxiii, 541. ISBN 9781491927182. info
  • This is service design thinking : basics, tools, cases. Edited by Jakob Schneider - Marc Stickdorn. Hoboken, N.J.: Wiley, 2011, 373 s. ISBN 9781118156308. info
Teaching methods
Combined learning: Online lectures (MS Teams)
Project-oriented teaching: Students work on individual or team projects
Expert discussions and peer-learning: Reflection and sharing experiences among students in MS Teams
Gamified methods: Tarot Cards of Tech, Ethical Canvas and other interactive tools
Practical demonstrations and showcases of AI tools
Assessment methods
Final project (30%) - Evaluation of design quality, innovation, and use of AI in the project.
Project presentation (20%) - Assessment of presentation skills, clarity, and argumentation.
Ongoing assignments (30%) - Active participation in workshops, reflective essays, and tasks.
Activity in discussions and collaboration (20%) - Contribution to teamwork and reflection on ethical aspects of AI.
Participation in at least 5 online meetings is mandatory. A record will be made of all meetings and will be published in the interactive sylabus and in Teams.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
The course will be taught online.
The course is also listed under the following terms Spring 2026.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/phil/spring2025/ISKB82