Course detail

Information Technology and System Analysis

FAST-BU006Acad. year: 2022/2023

Modern database systems, DBMS architecture and the role in information systems. Actual technologies for information systems design, n-tiers architecture. Life cycle and information system implementation. Process analysis and management. Modelling tools of the system analysis. The support of information technologies on particular levels of management. Economy of IS creation.

Language of instruction


Number of ECTS credits


Mode of study

Not applicable.


Institute of Computer Aided Engineering and Computer Science (AIU)

Learning outcomes of the course unit

Knowledge in the field of information systems using Internet technologies


Basic software tools for data management and processing, basics of enterprise economics, basics of project management, methods of relational data models design.


Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

1. Architecture of information systems, middleware

Work placements

Not applicable.


To get general orientation in information technologies and possibilities of their use at firm’s management. To learn basic tools of system analysis. To acquire skills and ability to model reality during formation of information system.

Specification of controlled education, way of implementation and compensation for absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme B-P-C-SI (N) Bachelor's

    branch N , 3. year of study, summer semester, compulsory

Type of course unit



26 hours, optionally

Teacher / Lecturer


1. Architecture of information systems, middleware


26 hours, compulsory

Teacher / Lecturer


1. Data modeling - repetition.