10.4.2025

17:30-20:30

Prompt Engineering

Lecturer:

Anna Nováková

• The basics of prompt engineering – how to formulate questions effectively.
• Advanced techniques to improve AI answers.
• Different approaches and strategies when interacting with models.
• Practical examples and application demonstrations.

16.4.2025

17:30-20:30

Using AI in teaching

Lecturer:

Zdeněk Valut

• Generating tutorials and tests: how to use AI to create tests and prepare content tailored to students' needs.
• How to effectively explain the principles of AI and its role in the academic environment.
• The ethics of AI in education: What are the risks of misusing AI? How to create an academic code for AI?
• How to properly cite sources from AI: Citation standards and transparency in academic writing.
• AI­-driven science: How AI helps in academic research, an overview of tools like Deep Research and Consensus.
• Personalized explanation: How AI helps in teaching personalized lessons.
• Recognizing the limitations and risks of AI: How to distinguish between genuine and synthetically created materials.

23.4.2025

17:30-20:30

AI in higher education: research and administration

Lecturer:

Milan Kaštovský, Anna Nováková

• AI in scientific research: finding expert sources using Deep Search, Thinking and Alternatives models.
• AI in academic writing – generating abstracts, structuring research and working properly with AI tools.
• Creating AI assistants – personalized models (GPT­-4, Custom GPTs) for more efficient work and its automation.
• Automating email communication – AI replies, message retrieval and linking to calendar other office applications.
• Linking AI to low­-code/no­-code platforms – Make.com and automation of administrative tasks.
• Automatic generation of meeting minutes – structuring and archiving information using AI.
• Hands­-on demonstrations and discussions – specific AI use case scenarios and experience sharing.