Title:

Advanced Information Systems

Code:PIS
Ac.Year:2017/2018
Term:Summer
Curriculums:
ProgrammeBranchYearDuty
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:Czech
Private info:http://www.fit.vutbr.cz/study/courses/PIS/private/
Credits:5
Completion:accreditation+exam (written)
Type of
instruction:
Hour/semLecturesSem. ExercisesLab. exercisesComp. exercisesOther
Hours:3900013
 ExaminationTestsExercisesLaboratoriesOther
Points:51190030
Guarantee:Hruška Tomáš, prof. Ing., CSc., 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.
MonlecturelecturesD020610:0012:502MIT14 MIS14 MIS
MonlecturelecturesD020610:0012:501MITxxxx
 
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 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.
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.
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.
Progress assessment:
  Mid-term test. Continuous checking of the project solution by the supervisor.
Exam prerequisites:
  At least half of points obtainable during the semester (tests a project), i.e. 25 points.