This course provides in-depth knowledge of Cloud Computing, covering key topics such as Cloud architecture, service models, and architectural aspects. Participants will learn about Cloud storage systems and gain practical skills in Cloud application development. Topics also include Cloud infrastructure, resource management, and serverless applications. Additionally, the course covers notification services, virtualization, and open-source solutions like OpenStack and OpenShift with Docker and Kubernetes. Students will explore storage systems, databases, and Cloud security, providing a comprehensive understanding of the Cloud computing landscape.

The "Cyber Security" course focuses on aligning objectives with curricula to cultivate practical skills in the realm of cybersecurity, emphasizing cryptographic foundations and the implementation of security measures at the system level. Students will gain advanced knowledge of computer science and information technology, enabling them to work effectively with these concepts. The curriculum includes the application of advanced methods for analysing, modelling, and simulating distributed systems, as well as designing, implementing, and testing distributed and high-performance service-oriented web applications. Students will learn to ensure contextual integration and integrity in distributed software systems while adhering to legislation and professional ethics codes. The course also covers intellectual property rights and offers strategies for continuous learning and self-development. Topics encompass Feistel class ciphers, stream ciphers, digital signatures, cryptosystems, organizational security auditing, e-commerce, communication network security, and the implementation and testing of security-based design patterns and cryptography.

The "Ethics and Integrity" course is a comprehensive exploration of ethical principles within academic and professional contexts. It equips master's students with a deep understanding of ethics, focusing on personal, social, and professional development. Students learn specific IT-related ethical concepts, skills for interpreting and adhering to ethical codes, and techniques for research article and thesis writing. The course also enhances analytical and critical thinking abilities. Ultimately, it prepares students for ethical challenges in their careers, promoting competence, fairness, and a commitment to integrity in their professional journey.

This course provides an overview of Distributed Processing fundamentals in the field of computer science. Participants will gain a holistic understanding of distributed computing systems, including taxonomy and models. They will explore topics such as clusters, grids, and cloud systems, delving into communication within distributed systems, leader selection, mutual exclusion, clock synchronization, global state, transaction atomicity, fault tolerance, routing, and load balancing. Additionally, students will become familiar with distributed programming techniques and develop the capability to design, implement, and test distributed algorithms.

The "Performance and Reliability in Complex Systems" course explores reliability and security concepts, focusing on performance evaluation methods and techniques for enhancing operational safety in distributed systems characterized by gradual performance degradation. Students will grasp the methods for evaluating the reliability and security of complex systems, whether fixed or reconfigurable, and the strategies to bolster operational safety. The course introduces analytical tools like Markov models for assessing redundant system reliability and utilizes Petri net modelling for distributed system interactions. It also delves into RAID-type structures for data safety. Students will study the reliability and availability of communication networks with performance degradation and learn Monte Carlo simulation for large-scale distributed systems, enabling them to evaluate the reliability of complex programs in diverse contexts.

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The “Web Technologies and Languages” course provides a comprehensive exploration of the web technologies and frameworks essential for building distributed and responsive web applications. Students will acquire practical proficiency in the Java EE framework, gaining insights into various web patterns and architectures. The curriculum covers both server-side and client-side technologies, emphasizing the development of well-rounded skills. Topics include web application architectures, Java Enterprise Edition components like Servlets and JSP, web patterns like MVC (Model-View-Controller), and web-responsive languages and technologies such as HTML5, JavaScript, and Ajax. Students will also study real-world examples of web applications built using various technologies, preparing them for the dynamic field of web development.