Course details

Advanced Information Systems

PIS Acad. year 2022/2023 Summer semester 5 credits

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

Guarantor

Course coordinator

Language of instruction

Czech

Completion

Credit+Examination (written)

Time span

  • 39 hrs lectures
  • 13 hrs projects

Assessment points

  • 51 pts final exam (written part)
  • 19 pts mid-term test (written part)
  • 30 pts projects

Department

Lecturer

Instructor

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.

Why is the course taught

Efficient access to information is crucial not only in business management, but in virtually all areas of human activity. Information systems represents one of the oldest and the most used applications of information technology. Considering the volume and complexity of the related data and processes, the key aspect in the information system design and implementation is a well chosen data representation, analysis and representation of the related processes and the choice of the overall architecture and implementation technology. The course extends the general knowledge from the bachelor study by advanced data and process models and practical mastering of the modern server and client technology with focus on large-scale systems.

Prerequisites

Study literature

  • Flower, Susan J. Production-ready microservices: Building standardized systems across an engeneering organization. O'Reilly, 2016, ISBN 978-1-491-96597-9
  • Wasson, C. S.: System Engineering Analysis, Design, and Development: Concepts, Principles, and Practices, 2nd Edition, Wiley 2015, ISBN 978-1-118-44226-5
  • Bien, A. Real World Java EE Patterns-Rethinking Best Practices, 2012, ISBN 9781300149316
  • Král, J.: Informační systémy, Science Veletiny 1998, 358 s., ISBN 80-86083-00-4
  • Basl, J., Blažíček, R. Podnikové informační systémy. Praha Grada, 2008. s. 242, ISBN 978-80-247-2279

Fundamental literature

  • Wasson, C. S.: System Engineering Analysis, Design, and Development: Concepts, Principles, and Practices, 2nd Edition, Wiley 2015, ISBN 978-1-118-44226-5

  • Flower, Susan J. Production-ready microservices: Building standardized systems across an engeneering organization. O'Reilly, 2016, ISBN 978-1-491-96597-9
  • Bien, A. Real World Java EE Patterns-Rethinking Best Practices, 2012, ISBN 9781300149316

Syllabus of lectures

  1. Pyramid scheme, OLTP and OLAP, essential modelling principles, metadata, structures and collections, CDL
  2. Requirements engineering.
  3. Object-oriented data model, inheritence, relationships, roles, other OODB systems
  4. Alternative data models - NoSQL
  5. Platforma Java EE
  6. Web application interfaces
  7. Implementation technology comparison, microservices
  8. Advanced transactional models, road to workflow
  9. Workflow model
  10. Advanced visualisation, dashboards, information handover techniques
  11. Big data, business intelligence, data marts, OLAP
  12. OLAP, multidimensional model, implementation, query languages, OLAP systems architecture
  13. Big data processing.

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.

Schedule

DayTypeWeeksRoomStartEndCapacityLect.grpGroupsInfo
Thu exam 2023-04-06 D0206 14:0015:00Půlsemestrální zkouška
Thu lecture 1., 2., 3., 4., 5., 7., 11., 12., 13. of lectures D0206 14:0016:509999 1MIT 2MIT NISD NSEC xx Burget
Thu lecture 6., 8., 10. of lectures D0206 14:0016:509999 1MIT 2MIT NISD NSEC xx Hynek
Thu lecture 2023-04-06 D0206 14:0016:509999 1MIT 2MIT NISD NSEC xx Burget, Hynek

Course inclusion in study plans

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