Studying with AI

Course guarantor:

Cyril Oswald

Lecturer:

Cyril Oswald

Tutor:

Cyril Oswald

Supervisor:

Department of Instrumentation and Control Engineering

Synopsis:

The course introduces students to CTU information systems and software tools for studying and working in an environment assisted by artificial intelligence tools. Students learn to work with text editors, spreadsheets, computing environments, website creation, and professional research and in each of these areas, they acquire the ability to effectively use available AI tools, critically verify the outputs produced by them, and take personal responsibility for them.

Requirements:

Syllabus of lectures:

1. CTU information systems, available AI tools and responsible use - ethics, conditions, cybersecurity

2. Professional document and AI-assisted technical communication - text structure, risks of AI outputs, author's responsibility

3. Data structures, spreadsheets and their visualization - AI as an assistant in data processing and interpretation

4. Computer program as a problem model - algorithmization, AI-generated code and its verification

5. Web presentation of professional content - AI-generated HTML/CSS, validation of outputs, security awareness

6. Professional information sources and research - searching, evaluating and verifying sources with AI support

7. AI limits, personal responsibility for output, overlap into professional practice

Syllabus of tutorials:

Study Objective:

Study materials:

Klatovský, K. (2019). Microsoft Office 365: Podrobný průvodce. Grada.

Zaplatílek, K. (2024). MATLAB® & Simulink®: Kurzy pro začátečníky a mírně pokročilé. BEN technická literatura.

Pears, R., & Shields, G. (2022). Cite Them Right: The Essential Referencing Guide (12th edition.). Bloomsbury.

Eager, B. (2025). AI-powered scholar: A beginners guide to artificial intelligence for academic writing & research.

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: