Information Technology 3301-2ST-TI
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 students will know and comprehend:
• Basic IT-related terminology (K_W01, K_W02, K_U05)
• The role of Computer Science relative to other fields, especially linguistics (K_W01, K_W02, K_U05)
• The possibilities and limitations of the technologies emergent from the latest trends in computer science, including artificial intelligence software based on large language models (K_W01, K_W02, K_U05)
Skills
The students will be capable of:
• Using selected software, including – but not limited to – word processors and spreadsheet software, to complement their academic work (K_U07, K_U08)
• Use and modify regular expressions for the purpose of information retrieval (K_U07, K_U08)
• Modify the fron-end appareance of websites by modifying the tagset of their HTML source (K_U07, K_U08, K_U09)
• Manage data and files of varios formats (K_U07, K_U08)
• Optimize and secure their browsing experience on the internet (K_U07, K_U08)
• Recognize selected security and privacy issues (K_U07, K_U08)
• Recognize a subset of problems that lower system performance and take remedial action where possible (K_U07, K_U08)
• Create and modify prompts in real time to optimize work with an AI agent (K_U07, K_U08)
Social skills
The students are ready to:
• Convey and relay information via e-mail in a manner that is effective and observes established conventions (K_U09)
• Adhere to requisite ethical standards when using AI agents to optimize their workload (K_U09)
• Comprehend – and convey – relevant content embedded in electronic media such as text, spreadsheets, databases, and presentations (K_U07, K_U09)
• Function in a heavily computerized society as computer-literate citizens (K_U07, K_U08, K_U09)
Language skills:
B2+ language training (K_U09).
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: