Title:

Advanced Information Systems

Code:PIS
Ac.Year:2006/2007
Term:Summer
Curriculums:
ProgrammeFieldYearDuty
IT-MSC-2MGM.-Elective
IT-MSC-2MIN.-Elective
IT-MSC-2MIS.2ndCompulsory
IT-MSC-2MPS-Elective
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:50200030
Guarantor:Hruška Tomáš, prof. Ing., CSc. (DIFS)
Lecturer:Hruška Tomáš, prof. Ing., CSc. (DIFS)
Instructor:Burget Radek, Ing., Ph.D. (DIFS)
Křivka Zbyněk, Ing., Ph.D. (DIFS)
Faculty:Faculty of Information Technology BUT
Department:Department of Information Systems FIT BUT
Prerequisites: 
Advanced Database Systems (PDB), DIFS
 
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 - workflow. Internet interfaces of information systems. Persistent object-oriented systems. Information systems over object-oriented databases. Manager information systems a devices for knowledge data discovery. Transaction models. Decision support, data mining. Middleware CORBA. Autentization and security in Information systems. User interfaces. Geografical information systems. Information systems for state and government. Detailed structure of a typical economic information system for the Czech Republic.
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.
Syllabus of lectures:
 
  1. Data modeling in information systems - design patterns.
  2. Process modeling in information systems - workflow.
  3. Ontologies and sematic web. Internet interfaces of information systems.
  4. Persistent object-oriented systems.
  5. Distributed information systems. Replication in information systems.
  6. Information systems over object-oriented databases.
  7. Manager information systems a devices for knowledge data discovery. Information systems for state and government.
  8. Data Mining and OLAP.
  9. Middleware CORBA.
  10. Transaction models.
  11. Geografical information systems.
  12. Information systems security. Data messaging.
  13. Detailed structure of a typical economic information system for the Czech Republic.
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
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.
 

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