Software Engineering

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

The aim of the course is to familiarize students with software engineering fundamentals. Train UML modelling skills.

Module description

The module introduces software systems engineering (SSE), its main concepts, and possible software systems (SS) in organizations. It is explained to students what the activity of SS development is, how professional SS development differs from individual software development and programming, why we need SSE. Particular attention is paid to modern SS development processes, principles and paradigms, such as agile SSE, employing Scrum, RAD, extreme programming, etc. Also, students are familiarized with the basic SSE paradigms, such as waterfall, bottom-up, etc. Students are taught how to start developing SS to meet user needs and quality requirements, including modelling with UML employing professional tools, writing technical reports, and processing through whole the SS development cycle with professional tools.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 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 introduce data structures, principles for development and implementation of algorithms, to show how the complexity of algorithms is analyzed, to solve sorting, search, combinatorial, graph problems

Module description

Examples of algorithms. The main data structures and their implementations. Data search and sorting algorithms. Some basic principles for development of algorithms. Complexity of algorithms. Algorithms for solution of graph problems.
Students must attend at least 80% of the time scheduled laboratory work.

Module aim

Students should familiarize themselves with the importance of the data acquiring as a reflection of real-world in information space, knowledge about the use of data models, information modeling process, be able to create the model of database, to understand the database relational model, the basic requirements and the normalization process of it, to be able to self-create the database on the server and manipulate the information in the database.

Module description

The primary objective of this course is to introduce the concept of database, data models, modelling of business area data from conceptual data models to physical data models. Disclosed a database management system and database system concepts, database system life cycle and regularities. Particular focus to relational databases, key properties, the concept of data quality and data normalization, SQL language and its practical use in finding the required information in the database.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.

Module aim

To introduce the integrated programming environments common characteristics and use of possibilities.

Module description

The integrated development environment is a software system designed to create tools that provide a wide range of functions, which facilitates the software development process and its management. These measures are in software development projects simplifies programming tasks, helping to analyze the implementation of the programs and the programs testing.
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 provide basic knowledge about economic processes and to develop professional skills in the justification of economic decision making and their implementation.

Module description

The couse of Economics describes the role of economic theory in economics, economic issues and goals of economics. Economics examines a market, competition models, consumer and producer behavior in the market. The course explains how to assess the economy’s performance, how GDP and other indicators can be determined. The course examines principles of economical cycles, fiscal and monetary policy, labor, wages, and labor productivity, employment and unemployment, investment and innovation impact on economic growth.
Students must attend at least 60 % of the time scheduled exercises.

Module aim

Study subject aims to familiarize students with the types of software requirements and provide knowledge on requirements gathering techniques, analysis, prioritization and specification, as well as apply knowledge in practice, write requirement specification.

Module description

The module introduces the main concept of Requirements Engineering. Students are explained business needs, user needs, user stories and why they are described differently. Also requirements elicitation techniques are discussed, as well as functional and non-functional requirements are explained, how to formulate them, how to prioretize requirements, write specification and evaluate requirements. Requirements are analyzed in the context of system engineering. It also examines how to extract requirements from user needs and write requirements specification to perform requirements localization and traceability. ISO 25010 standard is analyzed in the course.
Students must attend at least 60% of the time scheduled practical lectures. Mandatory minimum attendance of module lectures – 50%.

Module aim

Technological Demola practice 1 aim – is to raise students business skills, practical usage of IT and creativity, by working on real projects during the study. In cooperation with business (partners) develop and implement projects by creating a new services and products (prototypes) aimd to solve existing problems and use market opportunities.

Module description

This study module is oriented for student to gain practical experience in creating innovative applications. Demola is module is originally created in Finland and now unites universities and business in Sweden and Hungary. This model unites students, teachers and social partners at a single platform (united by DEMOLA operator) such cooperation is aimed to continuous work in cooperation bringing ideas to life as product or prototype. This module is created taking into account that students need to have a practical experience to raise business competence, creativity, and competence in practical implementation for future professional activity. During the practice it is recommended take a closer look at the modern information technologies and to use it while analyzing and creating a product.

Module aim

Practice aim – is to get familiar with commercial company, it’s structure, used IT technologies, data bases, operating principles, internal networking, as well as to get trained via practical works appointed by the practice supervisor to improve personal skills in data bases, programming, application development and improvement.
To acquire practical skill in administrating and programming information systems and internet services.

Module description

The aim of the internship is to make acquaintance with IT infrastructure and information systems such as ERP, CRM and others of the company. Student is aimed to obtain experience in administration of database management system, database programming and development of internet application. The duration of the internship is 4 weeks (160 h.). Each student must prepare report at the end of internship.

Module aim

Database and database system concept and architecture. Database management systems and their architecture. Database system administration. Relational data
model. Overview of the database design process. Data modeling using entity – relationship approach. Functional dependencies and normalization process to third
normal form. Concepts for object oriented databases. Business modeling for database design. Overview of emerging database trends.

Module description

Introduce database management systems and relational databases.
Students must attend at least 60% of the time scheduled practical lectures.
Mandatory minimum attendance of module lectures – 50%.

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.

Module aim

This course module is designed to provide students with a deep understanding of software system design methodologies and system architecture.

Module description

This course module is designed to provide students with a deep understanding of software system design methodologies and system architecture. Students will learn to recognize and analyze various system architectures, including their strengths and weaknesses in specific design contexts. The course will equip students with the skills necessary to prioritize and effectively balance functional and non-functional requirements during the design of information systems. Additionally, practical skills in applying architectural patterns will be developed, enabling students to address complex technological and business challenges efficiently.

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

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

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 introduce student to the software development process activities, techniques and methods that can be applied in practice.

Module description

The module introduces the software development process conception. During the course student will be introduced to: software development process definition, the most commonly used software development lifecycle process models; the capability maturity model; PS processes measurement, modification and improvement; version control testing and software quality issues.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.

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

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

Technological Demola practice 2 aim – is to raise students business skills, practical usage of IT and creativity, by working on real projects during the study. In cooperation with business (partners) develop and implement projects by creating a new services and products (prototypes) aimed to solve existing problems and use market opportunities.

Module description

This study module is oriented for student to gain practical experience in creating innovative applications. Demola is module is originally created in Finland and now unites universities and business in Sweden and Hungary. This model unites students, teachers and social partners at a single platform (united by DEMOLA operator) such cooperation is aimed to continuous work in cooperation bringing ideas to life as product or prototype. This module is created taking into account that students need to have a practical experience to raise business competence, creativity, and competence in practical implementation for future professional activity. During the practice it is recommended take a closer look at the modern information technologies and to use it while analyzing and creating a product.

Module aim

The aim of the internship is to get familiar with architecture of the information system used in firm, analyze practical steps of its development, testing, installation, find if any lack in functionality and propose improvements. Collect data for diploma thesis.

Module description

The aim of the internship is to make acquaintance with information systems such as ERP, CRM used in the company and to analyze possibilities to extend functionality of the system. It is recommended to define preliminary subject of the diploma thesis and to collect data that can be used for final thesis. The duration of the internship is 4 weeks (160 h.). Each student must prepare report at the end of internship.

Module aim

A student who has attended to the course should: acquire general and specialized knowledge of information theory; know the theory coding methods and algorithms; know information transmission correction algorithms; understand and be able to use information compression techniques.

Module description

The module is intended to a more in-depth analysis of the concepts of information theory and its applications in information systems. The structure of the module includes the following topics: Lossless and lossy data compression. Channel coding. Correction of information transmission error. Algorithm complexity theory. Theory of information algorithms. Information measurement methods.
Mandatory minimum attendance of module lectures – 50%.

Module aim

The course aims to provide knowledge of modern parallel computing technologies, main methods for the design of parallel algorithms and parallel programing tools.

Module description

Parallel and distributed computing architectures. Main processor networks and their characteristics. Main principles and methods of design of parallel algorithms. Shared and distributed memory parallel programing models. Parallel threads and processes. Generation, communication, synchronization. Parallel programming languages, libraries, and tools. OpenMP. MPI. GPGPU computing. CUDA.

Students must attend at least 80% of the time scheduled laboratory works.

Module aim

The purpose of the subject is to familiarize students with the methods of system programming and to teach them to apply them in practice.

Module description

The module covers a wide range of topics in system programming: calling and interacting with system functions, working
with data input/output, processes, threads, synchronization primitives, networking and memory. The course focuses on the C++ programming language and Windows operating system.
Several most important topics will be discussed in Linux operating system context.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.

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 practical lectures.

Module aim

To acquire new and develop existing abilities and skills in developing software systems and use of well-known software systems analysis and design methods.

Module description

The module is intended for students’ abilities to design software systems (SS), to form and develop SS design and implementation skills. During the execution of the module, students must use the knowledge acquired during their studies about the main SS analysis and design methods, techniques and methodologies in practice, while working in a team, and develop the abilities of objective SS design. In addition, students will acquire practical skills to work in the roles of analysts and designers in a development team that designs a state-of-the-art SS to meet the information processing needs of a selected business system (BS). Students will develop PS development skills, as well.
Students must participate in at least 60% of the exercises during the scheduled time.

Module aim

The module aims in providing knowledge in the field of domain area and requirements analysis, systematic literature review and final thesis preparation.

Module description

In the module, students are introduced to the ascientific or applied problem formulating task and requirements of the work objective and tasks formulation. The relevance of the work being prepared is justified, a detailed analysis of existing methods, technologies and solutions is performed. Scope of work is estimated and the work plan is prepared. Students carry out work independently, based on the knowledge acquired in previous courses and in consultation with the assigned work supervisor. Competences acquired during all studies are evaluated.
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

The module introduces core quality assurance methods, practices and application areas, discusses practical applications issues as well. Students will be introduced to main quality concepts, measurements, quality evaluation techniques, and metrics.

Module description

The course introduces students to the basic methods, techniques and practices used in software quality assurance process. Students will get familiar with core quality concepts, quality measurement and evaluation techniques, used metrics. Course will depict the process that manages quality assurance. The explanation how to prevent the poor quality software develop will be discussed as well.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.

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 acquire knowledge about programming of smart devices and to be able to apply these knowledge for design and development of different type Android applications.

Module description

Principles of smart devices and their programming technologies. Introduction to the Android operating system and elements of Android application development: user interface components; Activity, Intent, Service principles and application possibilities; data exchange with different types of sources; libraries and API usage.
Students must attend at least 80% of the time scheduled laboratory work.

Module aim

To learn the programming principles of hardware based on the microcontrollers, analyze the characteristics of microcontrollers, choose the microcontroller for implementation of concrete hardware, develop and analyze microcontroller programs and be able to substantiate solutions working individually or in the team.

Module description

The general knowledge about the microcontroller-based embedded systems are obtained in the course of hardware programming. The knowledge about the microcontrollers classification, architecture, functional blocks, programming, families and features of their representatives used in hardware are delivered as well. The chosen family of microcontrollers is studied, the selected concrete microcontroller of the family is analyzed. The knowledge about the microcontroller features, hardware, instruction set and software used for the editing and debugging of microcontroller programs are delivered. The theoretical and practical skills of development of programs for the chosen family of microcontrollers are gained.
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 module aims in summarizing and comprehensive assessment of the professional, social and personal abilities and knowledge acquired in the undergraduate studies of the program.

Module description

The module comprehensively summarizes all the skills acquired by the student during the years of study, evaluating the results of the implementation of the selected project described in the thesis in several stages (supervisor’s evaluation, reviewer’s evaluation, departmental and final public defenses). Not only professional, but also personal, communication skills, originality of the solution, quality of work, independence of work performance, motivation and creativity are evaluated.

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

Provide students with knowledge of modern data technologies, cloud computing and practical skills in the development and use of such databases.

Module description

Module is designed to provide an in-depth look at databases and their creation, use and administration. It aims to introduce students to the latest DB technologies: distributed databases, object-oriented database management systems, NoSQL databases. Various mechanisms of data storage, communication and access are explored with particular emphasis on the role of active DBs. Discusses trends in modern DB technologies, various new types of DBs (temporal, spatial, multidimensional, etc.), DB architectures, and the use of parallel data processing. Technical aspects of cloud computing, clustered databases and their management systems, database replication, principles of load distribution, security aspects are covered.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.

Module aim

The module aims in providing knowledge in the field of domain area and requirements analysis, information systems design, implementation, testing and final thesis preparation.

Module description

In the module, students are taught to implement a complex complex project, that requires implementation of the software or information system. The project includes system requirements specification, design, use of various modeling diagrams, system implementation on the selected technological base, quantitative and qualitative evaluation of the implemented system, using testing and other evaluation methods. Students also have to prepare a project documentation (thesis paper) according to the methodological requirements, they learn to publicly defend their decisions.

Students must attend at least 80% of the time scheduled laboratory work.

Module aim

The aim of the course is to provide knowledge is to provide knowledge about financial information systems and enable to use the knowledge in practice.

Module description

Electronic Transaction Systems.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.

Module aim

To provide knowledge on information security methods and principles.

Module description

This module presents basic information security insurance aspects. Basic concepts and models are being described and analyzed; major information security insurance technologies are presented and described. Primary attention is dedicated to technological information security aspects, as well as legal and managemental aspects of information security insurance.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.

Module aim

Course objective – to provide a basic knowledge of information systems or information technology audits

Module description

The module includes business information systems and information technology audits.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.

Module aim

To get skills in programming of DB

Module description

Programing of databases. Procedural programming language PL/SQL. Request to cary out all provided operations in programs. This is good for making programs, whose purpose is to work with tables and other objects of DB. Links between OS and external modules are supported by packages, provided by DBMS.
Students must attend at least 80% of the time scheduled laboratory work.

Module aim

To provide knowledge on decision support methods, their application area and benefits for companies, to provide an understanding of the principles of developing intelligent software systems and the ability to abuse decision support systems.

Module description

Decision making is an interdisciplinary subject that includes methods of systems analysis, optimization theory, game theory, machine learning, and more. Students are teached of use these methods in practice, to understand their advantages and disadvantages. The architecture, design, development and application areas of decision support systems are reviewed. An intelligent decision support system is created according to the chosen subject area.
Students must attend at least 60% of the time scheduled practical lectures. Mandatory minimum attendance of module lectures – 50%.