Title:

Advanced Information Systems

Code:PIS
Ac.Year:2019/2020
Sem:Summer
Curriculums:
ProgrammeField/
Specialization
YearDuty
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
MITAINADE-Elective
MITAINBIO-Elective
MITAINCPS-Elective
MITAINEMB-Elective
MITAINGRI-Elective
MITAINHPC-Elective
MITAINIDE-Elective
MITAINISD1stCompulsory
MITAINISY-Elective
MITAINMAL-Elective
MITAINMAT-Elective
MITAINNET-Elective
MITAINSEC-Compulsory
MITAINSEN-Elective
MITAINSPE-Elective
MITAINVER-Elective
MITAINVIZ-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: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.Groups
ThulecturelecturesD0206 14:0016:501MIT 2MIT MBS MIS xx
 
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. 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.
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.
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.
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. Alternative data models - NoSQL
  4. Platforma Java EE
  5. Web application interfaces
  6. Implementation technology comparison, microservices
  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 processing.
  13. Ontologies 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:
 
  • 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
  • Flower, Susan J. Production-ready microservices: Building standardized systems across an engeneering organization. O'Reilly, 2016, ISBN 978-1-491-96597-9
  • 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:
 
  • Bien, A. Real World Java EE Patterns-Rethinking Best Practices, 2012, ISBN 9781300149316
  • Flower, Susan J. Production-ready microservices: Building standardized systems across an engeneering organization. O'Reilly, 2016, ISBN 978-1-491-96597-9
  • 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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