Course detail

Advanced Information Systems

FIT-PISAcad. year: 2017/2018

Modeling of process in information systems. Internet interfaces of information systems. Manager information systems a devices for knowledge data discovery. Transaction models. Decision support, data mining.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

prof. Ing. Tomáš Hruška, CSc.

Department

Department of Information Systems (UIFS)

Learning outcomes of the course unit

An overview of wide spectrum of various information systems. Detailed knowledge of modern method for design and implementation of information systems oriented to economic and government applications. Methodology of design and implementation of information system.

Prerequisites

There are no prerequisites

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

At least half of points obtainable during the semester (tests a project), i.e. 25 points.

Course curriculum

Syllabus of lectures:
  1. Pyramid scheme, OLTP and OLAP, essential modelling principles, metadata, structures and collections, CDL
  2. Object-oriented data model, inheritence, relationships, roles, other OODB systems
  3. Object-oriented DB system Cache
  4. Java EE
  5. Java EE cont.
  6. Demo for project solution
  7. Advanced transactional models, road to workflow
  8. Workflow model
  9. Advanced visualisation, dashboards, information handover techniques
  10. Big data, business intelligence, data marts, OLAP
  11. OLAP, multidimensional model, implementation, query languages, OLAP systems architecture
  12. Big data, Hadoop
  13. Ontologie and semantic web

Syllabus - others, projects and individual work of students:
  1. To choose some problem from the information systems branch. Possible problems are actualized every year, but the student can solve his own problem.
  2. To specify the problem using non-formal specification.
  3. To define formally the solution using UML diagrams.
  4. To define an interface with the connected system using a set of XML input and output documents.
  5. To implement the solution in such way to be able to communicate with the database through internet interface.
  6. Examples: Purchase and selling of shares. University courses organisation. Fly tickets booking. Diary. Railway tickets booking. Travel agency. Bank account and credit cards. Store of production company. Ambulance dispatching. Supermarket.

Work placements

Not applicable.

Aims

Based on the knowledge of information system on the bachelor level to expand this knowledge of information systems and technology of their development.

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

Mid-term test. Continuous checking of the project solution by the supervisor.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme IT-MGR-2 Master's

    branch MBI , any year of study, summer semester, elective
    branch MPV , any year of study, summer semester, elective
    branch MBS , any year of study, summer semester, compulsory
    branch MIN , any year of study, summer semester, elective
    branch MMI , any year of study, summer semester, elective
    branch MMM , any year of study, summer semester, elective
    branch MGM , 2. year of study, summer semester, elective
    branch MSK , 2. year of study, summer semester, compulsory-optional
    branch MIS , 2. year of study, summer semester, compulsory

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

prof. Ing. Tomáš Hruška, CSc.

Syllabus

  1. Pyramid scheme, OLTP and OLAP, essential modelling principles, metadata, structures and collections, CDL
  2. Object-oriented data model, inheritence, relationships, roles, other OODB systems
  3. Object-oriented DB system Cache
  4. Java EE
  5. Java EE cont.
  6. Demo for project solution
  7. Advanced transactional models, road to workflow
  8. Workflow model
  9. Advanced visualisation, dashboards, information handover techniques
  10. Big data, business intelligence, data marts, OLAP
  11. OLAP, multidimensional model, implementation, query languages, OLAP systems architecture
  12. Big data, Hadoop
  13. Ontologie and semantic web

Project

13 hours, optionally

Teacher / Lecturer

prof. Ing. Tomáš Hruška, CSc.