Information Systems

Module aim

The student should understand the purpose of database management systems (DBMS), their functions, know the main types of DBMS and their properties, understand the way data is transformed into information and vice versa, get to know and be able to use the main services provided by DBMS in managing data entry forms and generating reports.
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

The module introduces the purpose and functions of the database management system, advanced database management models, the capabilities of the main relational database management systems in creating data entry forms, generating reports.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.

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 primary objective of the module is to familiarize students with IS analysis and design methods, used to develop enterprise IS software.

Module description

The module covers system analysis, business process modelling, information systems (IS) analysis, information processing analysis and modelling. Students have studied the material covered in this module is expected to know and understand business and IS analysis and design methods and techniques, and have a background knowledge on structural and object IS design. Students have studied the material covered in this module is expected to work in analysts and designers team, develop IS.
Students must attend at least 80% of the time scheduled laboratory work. 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

The primary objective of the module is to familiarize students with business analysis and its needs determining and specification, business modelling, software systems requirements definition and specification, software systems design and testing. Train UML modelling skills.

Module description

The module is designed to form students’ abilities to understand requirements engineering, design, implementation methods, and test evaluation and implement that in software systems (SS). The module acquires knowledge about the main methods, methodologies and methodologies of SS analysis and design. In practical classes, students test themselves in the roles of analysts and designers in a SS development teams that develops SS. The module explains the importance and rules of SS documentation, design quality features, testing and alignment, linking requirements to testing.The module introduces the concept of requirements engineering. Students are familiarized with types of requirements, their formulation, specification and verification, software systems modelling goals. It is discussed how to write good and correct specification. The following topics are covered during the lectures also: system modelling methodologies, software systems implementation, main software testing methods.
Students must attend at least 80% of the time scheduled laboratory work. Mandatory minimum attendance of module lectures – 50%.

Module aim

To provide knowledge’s about cloud computing.

Module description

Introduction to cloud computing. Cloud computing – architecture, virtualization, service management, security.

Module aim

To familiarize students with the place of business process management and its supporting information technologies.

Module description

Business process management is placed at an interface between management and information technologies encompassing methods, techniques and means to create, execute, control and analyse particular business processes involving people, organisations, applications, documents and other sources of information.
Students must attend at least 80% of the time scheduled laboratory work.

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 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

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%.