Acquisition of the special vocabulary for information technology on an advanced level. This course develops a specialist vocabulary, and it also improves general language skills which are prepares the students for working in an international environment. Besides discussing the latest developments in information technology this course contains topics connected to finding a job in the IT sector, prepares for job interviews, teaches negotiating strategies which enable student to become successful in corporate environment.

Seminars

1. Course criteria and forming groups for the collaborative tasks. Introduction to Information Technology, forming groups for the collaborative tasks (e.g. presentation) 2. Computer Architecture: Von Neumann model, stored programme concept, machine language, vocabulary: synonyms, writing skills: paragraph structure, topic sentences. 3. Operation on bits: Boolean operations, truth table, logic gates, vocabulary skills: abbreviations and acronyms, writing skills: basic structure of abstracts, communication: working in groups. 4. Operating systems: Linux, Windows and Mac, types of operating systems: real time, multi-user vs. single user etc, basics of academic English: passive voice, using tentative language. 5. Most important programming languages (C++, Python, visual basic, java, JavaScript etc.), gap-filling task on batch processing, definitions: high-level languages, text editor. academic vocabulary: verbs of reference, reading skills: introductions, writing skills: cohesion. 6. Networks: layers of the OSI model, network topologies, network devices: a hub, switch etc.; vocabulary skills: talking numbers, quantities, writing skills: cause and effect. 7. Algorithms: calculation, data processing, automated reasoning, problem solving, heuristics, vocabulary: recognising common expressions, communication: visual representation of data. 8. Software engineering: software lifecycle, development phase, user requirements, testing. vocabulary: software development, basic terms, writing skills: definitions. 9. Data organisation: abstract tools, array, data values, indexing, subscripts, matrices, domains, communication: metaphors, and analogies in computer science, writing: comparisons. 10. Machine learning: hidden structures, training data, pattern recognition, inference, models, hypothesis, supervised learning, unsupervised learning, reinforcement learning, trial and error. Communication: oral presentation skills, writing skills: arguments, and discussion. 11. Most important prospects of robotics: automation, industry 5.0, digitalisation; communication: discussion, ethical considerations in connection with autonomous vehicles, robots etc., writing skills: note taking, listening/video on artificial intelligence. 12. Current trends in computer security: zero trust, quantum cryptography, end-to-end encryption, threat hunting, AI-driven cybersecurity etc. Communication: analysing diagrams, graph, interpreting data. 13. Writing a vocabulary test and students give presentations, course evaluations.

Spectrum journal current issues and scientific articles