Information Technologies

Module aim

The aim of the course is to introduce students to the data structures and their practical realization by creating the corresponding functions and classes, teaching algorithms, analyzing and evaluating them.

Module description

Concept of data structures. Linear data structures: vector, list, stack, queue, deck, heap. Hierarchical data structures: binary tree, AVL tree, Bayer tree, Red-Black tree. Memory demand and efficiency of data structures. Algorithms, complexity, asymptotic analysis. Sorting algorithms. Searching algorithms. Recursive algoritms, memory allocation. Data exchange between external and internal memory in sorting and searching algoritms.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.

Module aim

The aim of the course is to provide students with knowledge of the basics of computer networks, to develop the ability to define the architecture, protocols and operating principles of computer networks. Make it possible to learn how to configure simple computer networks.

Module description

“Computer Networks” provides students with knowledge about protocols, technologies and communication channels used in computer networks. During the studies, a lot of attention is done to TCP / IP protocols: explaining IPv4 and IPv6 addressing principles, routing process, address translation mechanism, TCP and UDP protocols. Students will also be introduced to network-layer models, both the standardized OSI model and the actual TCP / IP model, and students will be introduced to the basic Internet services provided by the TCP / IP protocols: WEB, e-mail, DHCP, remote SSH access, real-time transportation over the Internet, as well as about local area network technologies and protocols used, such as Ethernet, VLAN.
Students are required to attend all theoretical lectures, with attendance exceeding 50% over the course of the semester. Students must complete all assigned laboratory work, with at least 80% of these tasks completed as scheduled.

Module aim

To get knowledge about functions of OS and to get skils in using command files.

Module description

The Operating Systems course is designed to provide a general understanding of the structure and basic functions of an operating system. The course includes the concept of process, process scheduling algorithms and their comparison, memory management methods are compared and examined, file system and file system implementation are discussed, file system management and optimization are discussed. Case studies will be used to illustrate and reinforce fundamental concepts.
Students must attend at least 80% of the time scheduled practical lectures and at least half of the lectures at the scheduled times.

Module aim

To master the basics of probability theory and get acquainted with the elements of mathematical statistics by making the statistical analysis with the help of R software.

Module description

In the first part of the course the main elements of combinatorics and operations of random events are presented. They are followed by a definition of the probability space, the classical definition of probability and theorems of probability summation and multiplication. The theorems of Bernoulli, Poisson, local and integral theorems of Muavre-Laplace are given. In addition, consideration of random variables distribution and their numerical characteristics, the central limit theorem make up a separate part. In the second part, empirical analogs of theoretical distribution characteristics and the main concepts of mathematical statistics are described, such as: population, sample, statistics, main properties of statistics. The problem of confidence interval construction is formulated and the basic concepts of the hypothesis testing are introduced. Teh R software is used for practicals.
Students must attend at least 51% of the lectures, at least 80% of the exercises and at least 80% of the laboratory work during the scheduled time.

Module aim

To form understanding of economic categories and theories, economical relationships and consistent patterns. Introduce students with basic economic knowledgies and possibilities to adapt and identify them in practical activity.

Module description

During the couse of Economics student study economic theory: micro and macroeconomics, economic issues and objectives. The measurement of individual markets: supply and demand balance and its elasticity. Analyzes the market competition models: perfect and imperfect competition. Explain, analyze what the consumer and producer behavior in the market, what are the costs and benefits, how they are calculated. Explain, analyze, how measured by production volume – national product. Analysis of cyclical fluctuations, fiscal policy, monetary policy, unemployment and inflation, anti-inflation and stabilization policies.
Students must attend at least 60 % of the time scheduled exercises.
Minimum mandatory attendance of module lectures is 50%.

Module aim

Acquaint with philosophical ethics and fundamental ethical problems and concepts. Transmit a knowledge of ethical foundations, principles and systems. Foster critical judgement and the capacity for logical, reasoned discussion. Encourage a sense of values.

Module description

Students learn about basic ethical schools and systems, fundamental issues of deontological and teleological ethic. Historical developement of ethical thought, periods such as Early Asian, Greece and Romain, medievvial, Reneissance, New Age and modernism. The main ethical issues are discussed: good and evil, principle of morality and free will, person as a goal in itself, notion of dignity, conscience, norm and morality, grounding morals in athority and discourse, notion of virtue, happiness and meaning of life and etc. Analyzed texts and philosophic al arguments os themost significant scholars of the field (Plato, Aristotle, Kant).
Students must attend at least 60 percent of the seminars and at least half of the lectures at the scheduled times

Module aim

Raise a culture of thinking and the ability to automate the logic of technical knowledge and they can be applied in practice of engineering.

Module description

The course covers the studies of thinking from the point of view of their structure and form (statements, concepts, reasoning and arguments). There are some elements of mathematical logic provided. Theoretical presentation is aimed at most at practical thinking problems that demand everyday training for formal logical thinking, ability to model, discuss, draw generalizations and conclusions, make decisions.
Students must attend at least 60 percent of the seminars and at least half of the lectures at the scheduled times

Module aim

The aim of the course is to introduce the theoretical and practical aspects, issues and applications of public communication.

Module description

Public Communication course aims to introduce personal branding, corporate communication, communication with clients and internal communication, the students who have chosen studies of engineering sciences, computer sciences, technology sciences, mathematics sciences. Students learn how to present themselves and their ideas, better speak in public, to make good and convincing points, to better use the internet and social media for their professional goals, also to understand cross-cultural communication. The importance of media channels, messages and communication to target audiences are also introduced in the course. Through practical tasks for personal branding, students will learn how to adopt public ethics, protocol standards. In this course an approach of learning by doing is combined with theoretical analysis and students’ self-reflection. The practical part of the course consists of active participation in discussions during different exercises, case studies as well as preparation and presentation of public speeches and presentations.
Participation in at least 60% of the scheduled exercises is mandatory. Lecture attendance is at least 50%

Module aim

To get acquainted with the main principles of database work using SQL.

Module description

The course is designed to acquaint students with the concepts of relational databases and relational database management systems, the principles of their work. Provides information on possible actions with database data using commands and operators. Normalization of databases to the third normal form is introduced.
Students must attend at least 80% of the time scheduled laboratory work and at least half of the lectures at the scheduled times.

Module aim

To get practical information technology knowledge in the enterprise environment.

Module description

Students individually look for internship position and in this way experience the process, similar to work search. In case the students face challanges to find the internship place, the help is provided to find a suitable intenship possition. After the internship documents are fully registered, students start the 160 hours long internship in the organziation, which is based on the individual plan and usually covers such a tasks: introduction to the company and its structure, functions, used information systems; execution of internship supervisor or/and company defined practical tasks; individual planning of internship hours and its documentation in internship report.

Module aim

To provide object oriented programming knowledge and skills to apply it in Java programming language.

Module description

Object-oriented programming course based on the Java programming language. The course will cover principles of object oriented programming: classes, objects, encapsulation, inheritance, polymorphism, visibility of class elements. Memory management, exception management, standard Java libraries, networked features of Java technology are introduced. The course provides examples on good programming practice and Java language usage for development of mobile applications (Android) and web systems (JEE).
Students must attend at least 60 % of the time scheduled practical lectures and at least 80 % laboratory works and at least half of the lectures at the scheduled times.

Module aim

Obtain basic software testing theoretical and practical knownledge.

Module description

Practical and theoretical knowledge about software testing is presented in this module. Testing principals, levels, taxonomy are introduced. Testing methods and tools for funcional and nonfuncional testing are described. The tools and methods are used practically during lab works. Web application testing, web services testing are introduced. Automation of testing is described. Automated tests’ generation and execution frameworks and tools are presented and used by the students during therethical course and labs.
Students must attend at least 80% of the time scheduled practical work and at least half of the lectures at the scheduled times.

Module aim

Learning of an advanced topics in the artificial inteligence and its information systems related applications

Module description

The role of AI in IS, knowledge representation and reasoning, application of knowledge-based systems in IS, problem solving and agents, planning, simple planning.
Students must attend at least 80% of the time scheduled laboratory work.

agents, application of software agents in IS, distributed AI and agents societies, swarm intelligence and its application in IS, learning, application of learning in IS,
other modern AI methods and their application in IS.
Mandatory minimum attendance of module lectures – 50%.

Module aim

Understand role of accounting information in the management system, understand accounting essence and basics of accounting, analyze the accounting equation, describe financial statements, recording transactions, adjusting and closing entries, realize the purpose of assets and liabilities, realize the purpose of the assets, equity and liabilities, learn double-entry rules, the acceptance of profit and loss basics in accounting, long and short term assets, cash funds, stock capital, the payable and receivable accounts and understand the basic structure.

Module description

Financial accounting discipline deals with anancial accounting information in the system of management (e.g. essence of financial accounting, users of information, the concept, regulation of financial accounting and general accounting principles), and the essence of assets, equity and liabilities in accounting, (e.g. impact on basic accounting equality, double entry, accounting registers, recognition of income and expenses, adjustments in accounting, closing of accounts}, and the essence of financial statement reports (e.g. composition, essential features and principles of compilation, economic processes in financial accounting and financial statements), and company accounting (e.g. accounting for long-term and short-term assets, accounting for equity and company liabilities, accounting for wages and related deductions, accounting for services and other income, accounting for costs and expenses, accounting for company performance and preparation of financial statements).
Students must attend at least 60 per cent of the seminars and at least half of the lectures at the scheduled times.

Module aim

The primary objective of the module is to introduce main concepts of software systems engineering, principles and methods.

Module description

The module introduces the concept of software engineering. Students are familiarized with the process of software systems development and main concepts of a system, system engineering, software systems, software systems engineering, information systems, business systems and requirements. Students are familiarized with possible software systems in organizations and their types. Another topic covered is software crisis and why it arises. The following topics are covered during the lectures also: main software development principles and paradigms, domain analysis and conceptual modelling, including modelling with UML. Students are taught to begin creating software systems that meet the needs of customers. The module is also taught how to write technical reports and other technical documents.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.

Module aim

To provide students with knowledge and skills related to internet technologies and their application in the development of online information systems.

Module description

In this course internet technologies suitable for frontend and backend development of internet information systems are studied. Students are introduced to the application of modern internet frameworks. The specifics of information systems architecture development, frontend and backend programming and the use of related software are examined. The theoretical material is illustrated with specific examples of the application of internet technologies.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.

Module aim

To provide knowledge and abilities, needed for management of enterprise used infromation and technologies, its risk evalaution and governance to regulation requirements.

Module description

Introduction to enterprise information and technology management based on process management methodology. An overview of information and technology business specification, organizational structure, process management methodology. The course provides an overview of ITIL v.4. ITIL processes and functions are initated for practical modeling and analysis.
Students must attend at least 60% of the time scheduled practical lectures.

Module aim

The aim of the course – to provide students with knowledge on information security needs, possible threats and abilities to select suitable countermeasures or prevention mechanisms against it.

Module description

The subject introduces students with definition of information security, ways to assure the security (CIA triad) and possible threats. What is, what types of cryptography exist, how it can be used to assure security is analyzed. Students get know the principles of some symmetrical, asymmetrical cryptography and hash function algorithms. Different type of security threats are analyzed in the subject. Students find out the basics of malware programming code, attacks against web systems, computer networks, personal computers and persons as well as understands possible solutions to prevent it.
Students must attend at least 80% of the time scheduled laboratory work.
Students must attend at least 60% of the time scheduled practical lectures.
Mandatory minimum attendance of module lectures – 50%.

Module aim

To prepare project managers, practice on project management tools and methods.

Module description

Introduction to Project Management. Project Management Basics. Initiating Processes. Planning Processes. Project Scope Planning. Project Time Planning. Project Cost Planning. Project Quality Planning. Project Human Resources Planning. Project Communication Planning. Project Risk Planning. Project Procurement Planning. Project Executing Processes. Project Monitoring and Controlling Processes. Closing Processes.
Students must attend at least 80% of the time scheduled practical lectures.

Module aim

To provide information about the stages of database development with the help of entity relationship diagrams, to learn how to design a database, use SQL language and create data entry forms for database end users.

Module description

This course introduces the basic concepts and terminology of relational databases, as well as to the concepts of data modelling and the creation of entity relationship diagrams (ERD) and the corresponding representation of the ERD, the features of DB design. Provides information about possible actions with database data using SQL commands and operators. The course also introduces the design features of relational databases. During the course, students will create projects designed to demonstrate a database solution for a business or organization.
Students must attend at least 80% of the time scheduled laboratory work.

Module aim

To deliver knowledge about data networks as well as technologies and standards used in them, the principles of their operation, to teach to analyze and choose right technologies and protocols for network design.

Module description

This course imparts knowledge of the technologies used in computer data networking and more generally in global telecommunication networks. The various applications of the telecommunication networks are described along with the different data sources used as well as the types of their generated information streams, their encoding and transmission in packet switched networks. The course presents the hierarchical structure of data communication networks according to the OSI and TCP/IP models, the essential physical interfaces used, and the functions and protocols used at different OSI levels. The course introduces students to such networking technologies and standards as Ethernet, WLAN (IEEE 802.11), GPON, as well as basic concepts of 4G and 5G mobile technologies.
Students are required to attend all theoretical lectures, with attendance exceeding 50% over the course of the semester. Students must complete all assigned laboratory work, with at least 80% of these tasks completed as scheduled.

Module aim

To teach students properly understanding of project management concept, as a view to modern method of management, to give theoretical and practical knowledge about types of projects, their purposes, cycle of project implementation, structure of business (activities) plan, to provide knowledge on the principles of project team formation, peculiarities of supervisor selection, business project control and changes performance management, project risk evaluation and management methodology, project m

Module description

Students will be introduced to principles of distributed systems, will analyze how can be distributed data within different systems or services, how it is processed and used. Subject is oriented to programming, application solutiosn ratgher than technical details. Therefore topics of MySQL, Oracle databases are included to address existing solutions for data distribution, distributed file systems, P2P, RMI and other similar techynologies are analyzed.
Students must attend at least 80% of the time scheduled laboratory work.

Module aim

To applay the obtained information technology knowledge and skills in the enterprise environment.

Module description

Students individually arrange the continuation of the internship in previous organization or look for internship position with more advanced required competencies. In case the students face challanges to find the internship place, the help is provided to find a suitable intenship possition. After the internship documents are fully registered, students start the 160 hours long internship in the organziation, which is based on the individual plan and usually covers such a tasks: introduction to the company and its structure, functions, used information systems; execution of internship supervisor or/and company defined practical tasks; individual planning of internship hours and its documentation in internship report.

Module aim

The aim of the study module is to introduce students into Internet of Things (IoT) solutions, their purpose, structure and development methods.

Module description

The study module analyzes the structure of the Internet of Things (IoT), hardware and software, communication protocols and transmittion media, cloud computing solutions. As an example of hardware, the Arduino platform is considered. With its help, fragments of IoT are created in the laboratory, their interaction is analyzed.
Students are required to attend all theoretical lectures, with attendance exceeding 50% over the course of the semester. Students must complete all assigned laboratory work, with at least 80% of these tasks completed as scheduled.

Module aim

To provide information about the stages of database development with the help of entity relationship diagrams, to learn how to design a database, use SQL language and create data entry forms for database end users.

Module description

This course introduces the basic concepts and terminology of relational databases, as well as to the concepts of data modelling and the creation of entity relationship diagrams (ERD) and the corresponding representation of the ERD, the features of DB design. Provides information about possible actions with database data using SQL commands and operators. The course also introduces the design features of relational databases. During the course, students will create projects designed to demonstrate a database solution for a business or organization.
Students must attend at least 80% of the time scheduled laboratory work.

Module aim

To provide knowledge of transactions and electronic payment solutions used in modern systems, being able to apply them in practice.
Students must attend at least 80% of the time scheduled laboratory work.

Module description

Provides general knowledge of electronic operations, transactions and their usage. Introduction to the monetary system, its different types and electronic payment methods. Electronic payments are analyzed from the point of view of both operation and implementation technologies, delving into the authentication solutions used by users and related devices. Much attention is paid to the mastering of the principles of the BlockChain (from the point of view of users, programmers, cashiers, exchange offices). Not only theoretical principles of BlockChains and cryptocurrencies, operating schemes and regulatory mechanisms are analyzed, but also BlockChain programming technologies are examined and used.
Mandatory minimum attendance of module lectures – 50%.

Module aim

To teach students properly understanding of project management concept, as a view to modern method of management, to give theoretical and practical knowledge about types of projects, their purposes, cycle of project implementation, structure of business (activities) plan, to provide knowledge on the principles of project team formation, peculiarities of supervisor selection, business project control and changes performance management, project risk evaluation and management methodology, project m

Module description

Students will be introduced to principles of distributed systems, will analyze how can be distributed data within different systems or services, how it is processed and used. Subject is oriented to programming, application solutiosn ratgher than technical details. Therefore topics of MySQL, Oracle databases are included to address existing solutions for data distribution, distributed file systems, P2P, RMI and other similar techynologies are analyzed.
Students must attend at least 80% of the time scheduled laboratory work.

Module aim

To applay the obtained information technology knowledge and skills in the enterprise environment.

Module description

Students individually arrange the continuation of the internship in previous organization or look for internship position with more advanced required competencies. In case the students face challanges to find the internship place, the help is provided to find a suitable intenship possition. After the internship documents are fully registered, students start the 160 hours long internship in the organziation, which is based on the individual plan and usually covers such a tasks: introduction to the company and its structure, functions, used information systems; execution of internship supervisor or/and company defined practical tasks; individual planning of internship hours and its documentation in internship report.

Module aim

The aim of the course is to give students theoretical and practical knowledge about the essentials of financial decisions to give abilities to make economically based decisions in the spheres of saving, borrowing and investment.

Module description

The course of Financial Decisions Foundations analyses modern theory of financial decisions, its applications in making various financial decisions in the spheres such as interests, equivalents of contracts, analysis of main financial means, effectiveness of investment projects.
Students must attend at least 60 per cent of the seminars and at least half of the lectures at the scheduled times.

Module aim

To provide hands-on experience in self-planning and implementation of software and/or research projects in Information technology field.

Module description

Students remember the principles of software project management, best practices of software systems design and implementation, research methods, requirements for data analysis and apply all these knowledge for development of individual project. During the semester different phases of project development are analyzed (project idea generation, project exclusivity, requirement and architecture specification, project success evaluation, analysis of project results, etc.). It is also a strong focus on proper project documentation and presentation for different type of audience.
Students must attend at least 60% of the time scheduled practical lectures.

Module aim

Learn to analyse, design and evaluation of an Internet Service Provider telecommunications networks, as well as working independently and as a group to be able to solve complex infrastructure and data transmission technology challenges

Module description

During the lectures of the current subject the knowledge of the Internet Service Provider (ISP) network design, analysis and evaluation of the necessary knowledge are achieved. The lectures cycle consists of these topics: Internet Architecture and Technology, Addressing inside autonomous systems and between them, Internetworking routing, the ISP networks virtualisation, The service and characteristics of ISP networks, and the technical service regulation of the ISP networks.
Students are required to attend all theoretical lectures, with attendance exceeding 50% over the course of the semester. Students must complete all assigned laboratory work, with at least 80% of these tasks completed as scheduled.

Module aim

The aim of the subject is to provide students with knowledge about Linux OS and open source ecosystem-based IT services, virtualization technologies, to develop the ability to define the architecture and operating principles of IT systems. To provide an opportunity to learn how to configure and virtualize various IT services.

Module description

“Enterprise IT systems” module provides the knowledge about various Enterprise IT systems’ services based on Linux operating system and other open source projects. These services such as WEB, databases, file servers, load balancers, authentication and authorization tools, etc. as well as the Linux OS, scripting and service configuration are explained. The module also provides knowledge of virtualization technologies, including containers, used in Enterprise IT systems. The principles of IT systems installation and maintenance automation are introduced. Listed below are some, but not all, of the key technologies and software that will be covered during the lectures: Linux, Bash, Apache HTTPD, Nginx, MySQL, PostgreSQL, LDAP, Kerberos, SSH, Ansible, KVM, VmWare, XEN, Docker.
Students are required to attend all theoretical lectures, with attendance exceeding 50% over the course of the semester. Students must complete all assigned laboratory work, with at least 80% of these tasks completed as scheduled.

Module aim

Formulating the topic of the final thesis, its objectives and tasks.

Module description

Formulating the topic of the final thesis, its objective and tasks.
Students must attend at least 60% of the time scheduled practical lectures.

Module aim

To introduce students with informatics law and its regulation peculiarities, develop the ability to apply legal knowledge and analyse case study.

Module description

Informatics Law module analyzes general Law aspects of information technology and individual Law ranges (electronic business, electronic information, intellectual property, privacy and person’s information protection in electronic space, electronic crimes and etc.). Capacity to apply legal knowledge and case study in the field of information technologies.
Students must attend at least 60 per cent of the seminars at the scheduled times.

Module aim

Provide students knowledge on robotized process automation and ability to design, develop and test its qualitya and payoff.

Module description

In this study subject students are introduced to robotized process automation (RPA), analyzes how to select processes, suitable for automation, how to evaluate its possible benefits, implementation and maintenance resources, possible risks of RPA application. Students get know possible solutions and technologies used for RPA application and in class uses UiPath, UiVision, Python or othertechnologies for robotized process automation.
Students must attend at least 60% of the time scheduled practical and laboratory work.

Module aim

To introduce a student with the peculiarities of the scientific style, the requirements for the terms, the principles of terms regulation, the regularities of Professional language, To teach to write and edit a scientific text.

Module description

The understanding of standard language and its functional styles are discussed. Public and non-public language is examined. Terms and basics of profesional language is analyzed in detail. Structural characteristics and parameters of a scientific text, as well as its compostion, is discussed.compostion, is discussed.

Module aim

To teach students about cloud computing and prepare them for work with modern distributed over networks systems.

Module description

Students will be taught cloud computing services suitable for design, deployment and support of diginal systems. They will acquire knowledge of tcp/ip protocol stack, and systems understanding necessary for procurement and management of cloud resources.
Students must attend at least 80% of the time scheduled laboratory work.

Module aim

To provide hands-on experience in self-planning and implementation of software and/or research projects in Information technology field.

Module description

Students remember the principles of software project management, best practices of software systems design and implementation, research methods, requirements for data analysis and apply all these knowledge for development of individual project. During the semester different phases of project development are analyzed (project idea generation, project exclusivity, requirement and architecture specification, project success evaluation, analysis of project results, etc.). It is also a strong focus on proper project documentation and presentation for different type of audience.
Students must attend at least 60% of the time scheduled practical lectures.

Module aim

After this course students should be able to:
apply basic knowledge of HCI principles and techniques;
develop software, which has human-computer interface created regarding to HCI principles;
ensure proper communication between elements in user interface;
effectively work in team, which develop information systems.

Module description

Students are acquainted with human-computer interaction (HCI) theory, psychological factors of HCI, general HCI design principles, guidelines and templates. Orientation to customer needs. User interfaces types and their creation methods. Training to perform software testing based on HCI principles. Software development with focus on the proper application of user interface elements. During laboratory work, students receive independent assignments that include theoretical (analysis) and practical parts. During the semester, students have to create interactive layouts or prototypes of software, focusing on the ease of user interface and ease of use.
Students must attend at least 70% of the time scheduled practical lectures.
Students must attend at least 80% of the time scheduled laboratory work.

Module aim

Formulating the topic of the final thesis, its objectives and tasks.

Module description

Formulating the topic of the final thesis, its objective and tasks.
Students must attend at least 60% of the time scheduled practical lectures.

Module aim

To provide with theoretical and practical knowledge about the structure of financial institutions, peculiarities of money and capital markets, basic types of securities, their characteristics and ratios, the role of financial institutions in the economy. To endow ability to assess processes in financial markets, summarise results and to make economically reasonable investment decisions.

Module description

Financial Markets and Institutions course examines the modern financial system structure, its peculiarities, role in the economy, process of financial intermediation, basic instruments of money and capital markets, the theory of interest rate. Students are introduced to the principles of banking.
Students must attend at least 60 % of the time scheduled exercises.

Module aim

To introduce students with informatics law and its regulation peculiarities, develop the ability to apply legal knowledge and analyse case study.

Module description

Informatics Law module analyzes general Law aspects of information technology and individual Law ranges (electronic business, electronic information, intellectual property, privacy and person’s information protection in electronic space, electronic crimes and etc.). Capacity to apply legal knowledge and case study in the field of information technologies.
Students must attend at least 60 per cent of the seminars at the scheduled times.

Module aim

To introduce a student with the peculiarities of the scientific style, the requirements for the terms, the principles of terms regulation, the regularities of Professional language, To teach to write and edit a scientific text.

Module description

The understanding of standard language and its functional styles are discussed. Public and non-public language is examined. Terms and basics of profesional language is analyzed in detail. Structural characteristics and parameters of a scientific text, as well as its compostion, is discussed.compostion, is discussed.

Module aim

To prepare final work.

Module description

Problems’ Formulation and solving problems using new information technologies.
Students must attend at least 60% of the time scheduled practical lectures.

Module aim

To present Final Work

Module description

Project and prepare final thesis.

Module aim

nd the basic principles of their application in the modern IT solutions.

Module description

The study subject provides an introduction to cloud computing technologies, explaining its history, emerging trends, and the business case for cloud computing. The subject analyses the various cloud service models (IaaS, PaaS, SaaS) and deployment models
(Public Cloud, Private Cloud, Hybrid Cloud) and the key components of a cloud architecture (Virtualization, VMs, Storage, Networking). Theoretically and during practical classes, the principles of containers orchestration are analysed. Examples from different applications are provided: data protection, backup and restore, disaster recovery and operation continuity, high availability solutions. Students are introduced to major cloud service providers such as AWS and GCP, the services they provide. The serverless service developed by these providers is introduced, its mandatory compared to traditional solutions. During the practical work of the subject, modern open source virtualization software (KVM, XCP-NG) and container technologies (Docker/Kubernetes) are applied.
Students are required to attend all theoretical lectures, with attendance exceeding 50% over the course of the semester. Students must complete all assigned laboratory work, with at least 80% of these tasks completed as scheduled.

Module aim

To gain fundamental knowledge of data mining using satistical methods, data classification, and clustering algorithms in practical tasks.

Module description

With the ever-increasing amount of data, data mining is one of the most important areas of science today, encompassing data mining, data preparation, results analysis, and decision making. During this course, students will get the fundamentals of statistical, artificial intelligence methods, that will allow to analyze data in a modern way. The course analyzes classification and clustering algorithms, application of machine learning, analysis of textual and visual data. The main focus of this course to allow students to independently analyze selected data using different methods.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.

Module aim

To provide students with knowledge and skills necessary manage information security related processes of an organization.

Module description

The course content oriented toward state of the art in information security management problems and solutions. The content contains most relevant and important topics about information security management purpose, tools and organization, processes and information sources particularities, vulnerabilities and associated risk.
Students must attend at least 60% of the time scheduled practical lectures.
Students must attend at least 80% of the time scheduled laboratory work.
Mandatory minimum attendance of module lectures – 50%.

Module aim

To prepare final work.

Module description

Problems’ Formulation and solving problems using new information technologies.
Students must attend at least 60% of the time scheduled practical lectures.

Module aim

To present Final Work

Module description

Project and prepare final thesis.

Module aim

To gain fundamental knowledge of data mining using satistical methods, data classification, and clustering algorithms in practical tasks.

Module description

With the ever-increasing amount of data, data mining is one of the most important areas of science today, encompassing data mining, data preparation, results analysis, and decision making. During this course, students will get the fundamentals of statistical, artificial intelligence methods, that will allow to analyze data in a modern way. The course analyzes classification and clustering algorithms, application of machine learning, analysis of textual and visual data. The main focus of this course to allow students to independently analyze selected data using different methods.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.

Module aim

The subject is dedicated to provide students a knowledge on the purpose of financial information technologies and provide competences to select needed solutions for financial information technologies , apply it and integrate with other systems.

Module description

Students get knowledge on different types and purpose of financial information technologies. The importance of financial information technologies as well as data exchange is analyzed. Currently existing different type financial information technologies and other systems, services, components, which can be used for extension of existing systems are analyzed and adapted. Big attention is dedicated to banking systems, its integration to existing systems. Students understand different solutions (REST, SOAP, API, shared database etc.), deditated to integrate different systems and is able to evaluate its suitability and limitations.
Students must attend at least 60 % of the time scheduled practical lectures and at least 80 % laboratory works.

Module aim

To provide knowledge for students about advanced system engineering, used to develop software of an IS of an enterprise.

Module description

The module introduces concepts in systems engineering. The main attention is paid on how to avoid the gaping between software requirement and informational technologies and software requirements consistency with business requirements and requirements of informational technologies.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.