Course detail

Information Technology and System Analysis

FAST-BUA003Acad. year: 2020/2021

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

Czech

Number of ECTS credits

3

Mode of study

Not applicable.

Guarantor

doc. RNDr. Jiří Macur, CSc.

Department

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

Prerequisites

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

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

1. Data analysis, E-R diagram, data normalization.
2. Relational calculus, using SQL language, nonSQL systems.
3. Advanced database techniques, indices, database transactions, ACID Rules.
4. Stored procedures and functions in database systems, T-SQL language.
5. Database triggers, constrains, business rules.
6. Features of the mainstream database products: Oracle, MS SQL, MySQL.
7. Basic implementation techniques of information systems.
8. N-layer architecture, middleware, solutions based on Internet, DOTNET, ASP, PHP, Node technology.
9. Process analysis, UML diagrams, BPMN, Data Flow and Status diagram.
10. Life cycle of the system, used development and operation techniques.
11. Access control in application layer, security, risks.
12. Business systems CRM, CMS, ERP. Standardized implementations SAP, MS Dynamics, Oracle.
13. An example of an analysis of a simple information system.

Work placements

Not applicable.

Aims

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 BPC-SI Bachelor's

    specialization E , 3. year of study, summer semester, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

doc. RNDr. Jiří Macur, CSc.

Syllabus

1. Data analysis, E-R diagram, data normalization. 2. Relational calculus, using SQL language, nonSQL systems. 3. Advanced database techniques, indices, database transactions, ACID Rules. 4. Stored procedures and functions in database systems, T-SQL language. 5. Database triggers, constrains, business rules. 6. Features of the mainstream database products: Oracle, MS SQL, MySQL. 7. Basic implementation techniques of information systems. 8. N-layer architecture, middleware, solutions based on Internet, DOTNET, ASP, PHP, Node technology. 9. Process analysis, UML diagrams, BPMN, Data Flow and Status diagram. 10. Life cycle of the system, used development and operation techniques. 11. Access control in application layer, security, risks. 12. Business systems CRM, CMS, ERP. Standardized implementations SAP, MS Dynamics, Oracle. 13. An example of an analysis of a simple information system.

Exercise

26 hours, compulsory

Teacher / Lecturer

doc. RNDr. Jiří Macur, CSc.

Syllabus

1. Data modeling - knowledge repetition, MS Access database system. 2. SQL query language, SELECT statement. 3. Pivot table in spreadsheet environment. 4. Advanced methods for obtaining information from relational sets - inner and outer join. 5. Methods for relational operations in MS Excel. 6. Elements for manipulating SQL data, DDL, DML subsets. 7. Advanced methods for transactional processing. 8. Advanced tools for process analysis, BPMN diagram design. 9. Status diagram and its implementation in data design. 10. Data Flow diagram, implementation examples. 11-12. Individual project of a simple information system in MS Access environment. 13. Knowledge testing and defending of IS design.