Information Technology 3301-L2TI
An entry-level course meant to familiarize students with the basics of information technology. A range of productivity software will be showcased, including tools that students might find useful in their academic exploits. Relevant topics that border on computer science will be discussed, including – but not limited to – online security, cloud computing, operating systems, or artificial intelligence. The primary aim of the tutorials and interactive exercises featured throughout the course is to equip the student with the knowledge, skillset, and confidence to increase their computer literacy and help them function in a society that relies heavily on computer-based technologies.
Detailed topics will include the following (subject to updates, as technologies develop):
• A brief historical outline of computer science
• Basic terminology
• Browsing security and effectiveness (cache clearing, privacy settings)
• System optimalization (background process management, star-up settings)
• Word processors (Microsoft Word, Google Docs)
• Presentation design (Google Docs/MS PowerPoint)
• Editing software (DTP) (LaTeX, TeXworks, MikTeX)
• Website front end formatting using basic HTML tags
• Using regular expressions for the purpose of information retrieval in annotated and unannotated text databases (Poliqarp NKJP, notepad ++)
• Basic functions and applications in spreadsheet software (Microsoft Excel / Google Sheets)
• Presentation software (np. Microsoft PowerPoint lub Google Slides)
• The do’s and don’ts of E-mail correspondence
• The social and philosophical implications of Strong (Hard) and Weak (Soft) AI
• AI in everyday life (virtual assistants and targeted recommendations)
• Ethical workload optimization using Chatbots based on Large Language Models
Type of course
Mode
Prerequisites (description)
Course coordinators
Learning outcomes
Knowledge
The graduate has familiarity with:
- K_W01 advanced terminology, theory and research methods corresponding to the state of the art in the discipline of linguistics, in accordance with their chosen specialization (and educational path) in the context of of Information Technologies
- K_W09 concepts and principles concerning the protection of intellectual property and copyright
Skills
The graduate is able to:
- K_U01 apply advanced terminology, theory and research methods corresponding to the state of the art in the discipline of linguistics, in accordance with their chosen specialization (and educational
path) when using Information Technologies
- K_U09 apply the concepts and principles of intellectual property protection and copyright law
Social skills
The graduate is ready to:
- K_K01 critically appraise their knowledge and content obtained from various sources
- K_K02 recognize the importance of knowledge in solving cognitive and practical problems; consult experts when required
Assessment criteria
- participation in discussions (verification of
outcomes: W, U, K).
- written assignments (verification of
outcomes: W, U, K).
- carrying out tasks during classes (verification of outcomes: W,
U, K).
- projects completed during the semester (verification of outcomes: W, U,
K).
Bibliography
• Bott, E., & Stinson, C. (2020). Windows 10 inside out. Microsoft Press.
• Flowers, J. C. (2019, March). Strong and Weak AI: Deweyan Considerations. In AAAI spring symposium: Towards conscious AI systems (Vol. 2287, No. 7).
• Friedl, J. E. (2006). Mastering regular expressions. " O'Reilly Media, Inc.".
• Hawkridge, D. (2022). New information technology in education. Taylor & Francis.
• Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and individual differences, 103, 102274.
• McEnery, T. (2019). Corpus linguistics. Edinburgh University Press.
• Ose, S. O. (2016). Using Excel and Word to structure qualitative data. Journal of Applied Social Science, 10(2), 147-162.
• Pignalberi, G., & Dominici, M. (2019). Introduction to LATEX and to some of its tools. ArsTEXnica, 28, 8-46.
• Przepiórkowski, A., Bańko, M., Górski, R. L., Lewandowska-Tomaszczyk, B., Łaziński, M., & Pęzik, P. (2012). Narodowy Korpus Języka Polskiego. PWN, Warszawa.
• Shmueli, G., Patel, N. R., & Bruce, P. C. (2011). Data mining for business intelligence: Concepts, techniques, and applications in Microsoft Office Excel with XLMiner. John Wiley and Sons.
• Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, 30.
• White, J., Fu, Q., Hays, S., Sandborn, M., Olea, C., Gilbert, H., ... & Schmidt, D. C. (2023). A prompt pattern catalog to enhance prompt engineering with chatgpt. arXiv preprint arXiv:2302.11382.
• Wilson, K., & Wilson, K. (2014). Microsoft office 365. Using Office 365: With Windows 8, 1-14.
• Zaiontz, C. (2019). Real Statistics Resource Pack software (Release 6.8). Copyright (2013–2020).
• Zamfirescu-Pereira, J. D., Wong, R. Y., Hartmann, B., & Yang, Q. (2023, April). Why Johnny can’t prompt: how non-AI experts try (and fail) to design LLM prompts. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-21).
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: