Title:

Advanced Information Systems

Code:PIS
Ac.Year:2018/2019
Sem:Summer
Curriculums:
ProgrammeFieldYearDuty
IT-MSC-2MBI-Elective
IT-MSC-2MBS-Compulsory
IT-MSC-2MGM2ndElective
IT-MSC-2MIN-Elective
IT-MSC-2MIS2ndCompulsory
IT-MSC-2MMI-Elective
IT-MSC-2MMM-Elective
IT-MSC-2MPV-Elective
IT-MSC-2MSK2ndCompulsory-Elective - group B
Language of Instruction:Czech
Private info:http://www.fit.vutbr.cz/study/courses/PIS/private/
Credits:5
Completion:credit+exam (written)
Type of
instruction:
Hour/semLecturesSeminar
Exercises
Laboratory
Exercises
Computer
Exercises
Other
Hours:3900013
 ExamsTestsExercisesLaboratoriesOther
Points:51190030
Guarantor:Hruška Tomáš, prof. Ing., CSc. (DIFS)
Deputy guarantor:Burget Radek, Ing., Ph.D. (DIFS)
Lecturer:Burget Radek, Ing., Ph.D. (DIFS)
Hruška Tomáš, prof. Ing., CSc. (DIFS)
Instructor:Burget Radek, Ing., Ph.D. (DIFS)
Faculty:Faculty of Information Technology BUT
Department:Department of Information Systems FIT BUT
Prerequisites: 
Advanced Database Systems (PDB), DIFS
Schedule:
DayLessonWeekRoomStartEndLect.Gr.St.G.EndG.
ThulecturelecturesD020614:0016:502MIT14 MIS14 MIS
ThulecturelecturesD020614:0016:501MITxxxx
 
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.
Description:
  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.
Learning outcomes and competencies:
  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.
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
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
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.
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.
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
Exam prerequisites:
  At least 25 points obtainable during the semester.
 

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