Course details

Advanced Information Systems

PIS Acad. year 2018/2019 Summer semester 5 credits

Current academic year

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.

Guarantor

Deputy Guarantor

Burget Radek, Ing., Ph.D. (DIFS FIT BUT)

Language of instruction

Czech

Completion

Credit+Examination (written)

Time span

39 hrs lectures, 13 hrs projects

Assessment points

51 exam, 19 half-term test, 30 projects

Department

Lecturer

Instructor

Burget Radek, Ing., Ph.D. (DIFS FIT BUT)

Course Web Pages

Subject specific learning outcomes and competences

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.

Learning objectives

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

Prerequisites

Study literature

  • McLeod, R.: Management Information Systems, Prentice Hall International London 1998, 655 p., ISBN 0-13-896101-8
  • Cichocki, A., Abdelsalam, H., Rusinkiewitz, M., Woelk, D.: Workflow and Process Automation - Concepts and Technology, Kluver Academic Publishers Dordrecht 1998, 114 p., ISBN 0-7923-8099-1
  • Fayyad, U.M. et al.: Advances in Knowledge Discovery and Data Mining, AAAI Press Menlo Park 1996, 610 p., ISBN 9-780262-560979
  • Complete set of electronic supporting texts.

Fundamental literature

  • McLeod, R.: Management Information Systems, Prentice Hall International London 1998, 655 p., ISBN 0-13-896101-8
  • Cichocki, A., Abdelsalam, H., Rusinkiewitz, M., Woelk, D.: Workflow and Process Automation - Concepts and Technology, Kluver Academic Publishers Dordrecht 1998, 114 p., ISBN 0-7923-8099-1
  • Fayyad, U.M. et al.: Advances in Knowledge Discovery and Data Mining, AAAI Press Menlo Park 1996, 610 p., ISBN 9-780262-560979

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. Design of an information system according to the specification
  2. Implementation of the designed system on a specified enterprise platform

Progress assessment

  • Midterm test - 19 points
  • Project - 30 points
  • Final written exam - 51 points, at least 20 points required
  • At least 25 points must be obtained during the semester

Controlled instruction

Midterm exam, realization of a project in due dates. In the case of a reported obstacles to submit the project, the student will be allowed to submit the project in an alternative date.

Exam prerequisites

At least 25 points obtainable during the semester.

Course inclusion in study plans

  • Programme IT-MSC-2, field MBI, MIN, MMI, MMM, MPV, any year of study, Elective
  • Programme IT-MSC-2, field MBS, any year of study, Compulsory
  • Programme IT-MSC-2, field MGM, 2nd year of study, Elective
  • Programme IT-MSC-2, field MIS, 2nd year of study, Compulsory
  • Programme IT-MSC-2, field MSK, 2nd year of study, Compulsory-Elective group B
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