Course detail

Selected Topics of Software Engineering and Database Systems

FIT-SIDAcad. year: 2017/2018

Advanced software life cycle models; software modeling languages - UML metamodel, the OCL language; model-driven architecture; software architectures; service-oriented architecture; security engineering; object-relational databases and database management systems; multimedia databases; XML databases; similarity search; NoSQL databases, big data and its processing. These topics can change with respect to the main research interests in fields of software engineering and database systems.

Language of instruction

Czech

Number of ECTS credits

0

Mode of study

Not applicable.

Guarantor

doc. Ing. Jaroslav Zendulka, CSc.

Department

Department of Information Systems (UIFS)

Learning outcomes of the course unit

Students get a broad, yet in-depth overview of the field of data mining and knowledge discovery. They get a deeper view mainly in the field related to the topic of their thesis.

Prerequisites

Students should have basic knowledge in software engineering and database systems at the graduate level of Master degree in Software Engineering, Information Systems, Information Technology or related study programmes. 

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.

Course curriculum

Syllabus of lectures:
  1. Advanced software life cycle models, agile development.
  2. Advanced modeling techniques of the UML.  
  3. Model-driven architecture (MDA).
  4. Software architectures, service-oriented architecture.
  5. Security engineering.
  6. Object-relational databases and database management systems
  7. Multimedia databases.
  8. XML databases.
  9. NoSQL databases.
  10. Big data and its processing. 

Syllabus - others, projects and individual work of students:
  1. Reading up and treatment of a selected topic concerning knowledge discovery in a field related to the student's PhD thesis.

Work placements

Not applicable.

Aims

To deepen students' knowledge in the field of software engineering and database systems with special focus on theoretical foundations of the used approaches techniques, algorithms and models.

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

Consultations, elaboration of a given topic, written report and presentation on the final seminar.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

  1. Larman, C.: Applying UML and Patterns. An Introduction to Oject-Oriented Analysis and Design and Iterative Development. 3rd edition. Prentice Hall PTR, Upper Saddle River, USA, 2004, 703 p., ISBN 0-13-148906-2. 
  2. Silberschatz, A., Korth, H. F., Sudarshan, S.: Database system concepts. McGraw-Hill Science, 2005, 1168 p., ISBN 0072958863.

Recommended reading

  1. Raistrick, Ch., Francis, P., Wright, J.: Model driven architecture :executable UML. Cambridge University Press, 2004, 392 p., ISBN: 0521537711.
  2. Erl, T.: Service-oriented architecture: concepts, technology, and design. Prentice Hall PTR, 2005, 792 p., ISBN 0131858580.
  3. Zezula, P. et al.: Similarity Search: The Metric Space Approach. Advances in Database Systems. Springer, 2005, 220 p. ISBN 0387291466.
  4. Rivero, L., R. et. Al.: Encyclopedia of Database Technologies and Applications. Hershey, US, IDEA, 2005, 784 p., ISBN 1591405602.
  5. Příspěvky v dostupných časopisech a sbornících konferencí (včetně dostupných v ACM Digital library, IEEE Digital library a jiných elektronických zdrojích).

Classification of course in study plans

  • Programme VTI-DR-4 Doctoral

    branch DVI4 , any year of study, summer semester, elective