System Theory, SDB And Electronic Maps And Information Systems (ECDIS)

Course Code:

GEO7140

Semester:

7th Semester

Specialization Category:

S.

Course Hours:

4

ECTS:

5


Course Tutors

Pantazis Dimos

LEARNING OUTCOMES

The course aims at:

  1. Knowledge
    • In-depth understanding and learning of all stages of creating Spatial Databases (including “spatila databases of multiple scales”), the analysis and design of information systems (IS) and spatial information systems (SIS), the modeling of space-time.
    • Understanding and learning the basic methodologies of analysis and design of IS.
    Their application in the analysis and design of SIS.
    • Understanding the parts and functions of an ECDIS. Understand how ENC (Electronic Navigational Charts) and AIS (Automatic Identification Systems) operate within an ECDIS.
    • Understanding and learning normalization and relational algebra.
    • Learning the ways of integrating SDB in IS.
    • Learning the modeling of data, actions and decision-making procedures.
    Understanding advanced concepts and applications of the O / S and UML model.
  2. Skills
    • Apply all of the above to specific examples of system development.
  3. Abilities
    • Skills for analysis, design, creation, control, and creation of metadata of DB and SDB using CASE-tools in any case (new system, replacement of older system, partial system change, merger / evolution of systems, etc.

 

General Competences

Taking into account the general skills that the graduate must have acquired, the course aims at:

  • To understand a) the design, development, implementation and control of BXD and (Spatial) Information Systems, b) the integration of SDB in such systems c) the complex role of CASE-tools in the design of SDB.
  • Understanding the operation of ECDIS and the GPS systems (Global Positioning System), AIS (Automatic Identification System) and ENC (Electronic Navigational Charts) that integrates in a complete way and familiarity with the ways of creating and updating its spatial databases. Familiarity with air navigation systems (basic concepts).
  • In adapting to new situations that require the creation of complex spatial information through new techniques and tools.
  • In making decisions regarding the correct choice of data, techniques and tools for the creation and discovery of new information through a large volume of spatial and other data.
  • In autonomous work through the theoretical development and practical elaboration of issues related to advanced SDB concepts and practices aimed at developing skills necessary for SDB design and development studies and Information Systems.
  • In teamwork aimed at the theoretical development and practical elaboration of issues related to advanced SDB concepts and practices aimed at developing skills necessary for SDB design and development studies and information systems in a team environment where collaboration is necessary.
  • The ability to work in an international environment supported by learning both “standardized knowledge” SDB and I (C) S taught in most universities around the world and by using and learning English and French IS / SDB / SD terminology.
  • In the work in an interdisciplinary environment supported by the nature of the course of SDB and SD that is directly related to computer projects, three-dimensional representation of objects, environmental protection, etc.
  • In the production of new research ideas that is supported and developed through a) individual and group work but also b) by informing about the research programs of the Department in relation to the SDB and SD and the possibilities of students’ participation in them.
  • In the design and management of development projects, information and control of SDB and SD.
  • Demonstrating social, professional and ethical responsibility in data and software copyright issues.
  • In the exercise of evaluation, self-evaluation and development of critical ability through the presentation day of the semester assignments (individual and group).
  • In the promotion of free, creative and inductive thinking.

 

SYLLABUS

Theoretical part- Lectures

  1. System: Basic concepts, principles, definitions. The parts of a system.
  2. Systemic theory and the Cartesian approach.
  3. Systems of different types and systems of different levels. The perfect system. Information –
  4. Procedure – Decision. Production systems – Information systems – Decision systems.
  5. The concept of the system for the Surveyor engineer and his profession.
  6. Life cycle and development cycle of a system.
  7. Systems Analysis and Design – Systems Implementation. Tools and theories for the design and implementation of systems, and in particular information systems. Examples and applications of systems.
  8. Models of representation of reality. Basic concepts of space-time and possibilities of its modeling. Spatial Databases. Types of entities and types of relationships. Topology – Topological relations.
  9. ECDIS definition. ECDIS Parts. Completion of ENC (Electronic Navigational Charts), GPS (Global Positioning System), AIS (Automatic Identification Systems). ECDIS types and features. ECDIS and G.U.I. (Graphic User Interface) utility of ECDIS. Nautical charts and
  10. ECDIS. RNC (Raster Nautical Charts). VNC (Vector Nautical Charts). RNC and ENC (Electronic Charting System). ECDIS and ECS. ENC toponyms and borders sources of an ENC. ENC and RNC differences. ΝΟΑΑ ENC online. Vessel Finder. AIS Greece. Marine Traffic. AIS Marine
  11. Traffic ship map. Real time AIS Vessel Tracker with ship and Port Database. Real-time AIS terrestrial and satellite system.
  12. Basic concepts of air navigation systems.
  13. Computational Geometry and its applications in Spatial Databases.
  14. Spatial digital databases and management systems – Design levels – Peculiarities of Spatial
  15. Databases and their design.
  16. Entity / Relation and UML.
  17. Spatial / Cartographic / Geographical / Spatial questions and answers.
  18. Data Warehouse and Spatial Data Warehouse. Data Mining / Spatial Data Mining. SDB and decision making.
  19. Conceptual design of Spatial Databases and CASE – tools. Comparative presentation of conceptual models.
  20. Spatial Databases of multiple scales / multiple representations. Suggested solutions and unsolved problems.
  21. Metadata and data dictionaries for Spatial / Cartographic Databases multiple scales. Tools offered. Unanswered questions.
  22. Integration of Spatial Databases into Systems (actions / processes / production, information, decisions): their roles and their interrelationships.
  23. Correlation of spatial and alphanumeric databases within Systems. Critical presentation of the offered solutions.
  24. Virtual and augmented reality: their application and uses in DB / SDB

 

Laboratory Exercises
Consolidation and practical application of the concepts as mentioned in the theoretical part, through the execution of exercises on PC. Specifically, the aim of the laboratory exercises is to get acquainted with ECDIS, with systems design tools and SDB, to get acquainted with the advanced SDB techniques and the use of CASE-tools.

 

STUDENT PERFORMANCE EVALUATION

Language of assessment:
Greek or English or French ((for ERASMUS students)
Evaluation methods:
• Written examination at the end of the semester: 60%
• Laboratory Exercises / Field Exercises: 20%
• Personal study and presentation: 20%

 

ATTACHED BIBLIOGRAPHY

Suggested bibliography:
1. Pantazis D., Donnay J-P, 1996, La conception de SIG, methode et formalisme, Editions HERMES, Paris.Shashi Shekhar and Sanjay Chawla, 2003, Spatial Databases: A Tour , Prentice Hall.
2. Rigaux & Scholl & Voisard, 2001, Spatial Dαtabases, Morgan Kaufmann.
3. Albert K. W. Yeung, G. Brent Hall, 2007, Spatial Database Systems: Design, Implementation and Project Management, Springer.
4. Michael Havey , 2005 , Essential business process modeling , O’ Reilly Media Inc. , Gravenstein Highway North Sebasatopol , CA , US .
5. Ian T. Cameron, Katalin Hangos, 2001 , Process Modelling and Model Analysis, Academic Press , San Diego , CA, US .
6. Sandra Lach Arlinghaus , Joseph J. Kerski ,2014, Spatial mathematics-Theory and practice through mapping , Taylor & Francis Group , Boca Raton, FL, US .
7. Dominique de Werra , 1990, Elements de programmation lineaire avec application aux graphes , Presses polytechniques romandes , Lausanne .
8. Robert Damelio , 2011, The basics of process mapping , 2nd edition , Productivity Press, Third Avenue , NY, US .
9. Alec Sharp , Patrick McDermott , 2009, Workflow modeling – Tools for process improvement and application development , 2nd edition , Artech House Inc. , Canton str., Norwood , MA, US .
10. Theodore Panagacos , 2012, The ultimate guide to business process management-Everything you need to know and how to apply it to your organization , Theodore Panagacos , San Bernardino , CA, US .
11. Patricia Wallace , 2014, Πληροφοριακά συστήματα διοίκησης – Άνθρωποι, τεχνολογία, διαδικασίες , Εκδόσεις Κρητική , Νευροκοπίου 8, Αθήνα , μετάφραση από Patricia Wallace, 2013, Information systems in organization –People , technology and processes , Pearson Education Inc ,Upper Sadle River , New Jersey
12. Kenneth C. Laudon , Jane P. Laudon , 2011, Πληροφοριακά συστήματα διοίκησης , 8η έκδοση , Εκδόσεις Κλειδάριθμος , Αθήνα , μετάφραση από Kenneth C. Laudon , Jane P. Laudon, 2009, Essentials of management information systems, 8th edition , Pearson Education Inc, Upper Sadle River , New Jersey
13. David Arctur , Michael Zeiler, 2004, Designing geodatabases- Case studies in GIS data modeling , ESRI, Redlands, CA, US.
14. Κωστής Κουτσόπουλος , Νικόλαος Ανδρουλάκης , 2012, Γεωγραφικά συστήματα πληροφοριών με το ArcGIS 10 –Θεωρία και πράξη , Εκδόσεις Παπασωτηρίου , Λεωφ. Κηφισού , Αθήνα .
15. Michael Havey , 2005 , Essential business process modeling , O’ Reilly Media Inc. , Gravenstein Highway North Sebasatopol , CA , US .
16. Ian T. Cameron, Katalin Hangos, 2001 , Process Modelling and Model Analysis, Academic Press , San Diego , CA, US .

 

Related academic journals:
1. Wiley online library – published by John Wiley & Sons Ltd Edited By: Robert Davison, Philip Powell & Eileen Trauth Impact Factor: 1.381 ISI Journal Citation Reports © Ranking: 2012: 22/85 (Information Science & Library Science) ISSN: 1365-2575 http://onlinelibrary.wiley.com/journal/10.1111/ (ISSN)1365-2575
2. Information System – published by ELSEVIER B.V. Impact Factor: 1.768 Thomson Reuters Journal Citation Reports 2013 ISSN: 0306-4379 http://www.journals.elsevier.com/information-systems/
3. Computer Science and Information Systems– published by ComSIS Consortium Impact factor Two-year impact factor (2012): 0.549 ISSN: 1820-0214 http://www.comsis.org/
4. European Journal of Information Systems – published by Macmillan Editor-in-Chief: Frantz Rowe, France Editors: Par Agerfalk, Sweden Dov Te’eni, Israel 2012 5-year Impact Factor:2.422 ISSN: 0960-085X http://www.palgrave- journals.com/ejis/index.html
5. International Journal of Spatial, Temporal and Multimedia Information Systems- published by Inderscience Publishers Editor in Chief: Prof. Wassim Jaziri ISSN online: 2052-3564 ISSN print: 2052-3556 http://www.inderscience.com/jhome.php?jcode=ijstmis
6. International Journal of Spatial Data Infrastructures Research – published by European Commission ISSN: 1725-0463 http://ijsdir.jrc.ec.europa.eu/index.php/ijsdir
7. JEDM –Journal of educational data mining – Editor : Michel C. Desmarais Associate Editors : Ryan S. Baker , Agatha Merceron , Mykola Pechenizkiy , Kalina Yacef, ISSN: 2157- 2100 http://www.educationaldatamining.org/JEDM/index.php/JEDM
8. Data Mining and Knowledge Discovery- published by Springer Editor-in-Chief: Geoffrey I. Webb 2012 Impact Factor: 2.877 ISSN: 1384-5810 (print version) ISSN: 1573-756X (electronic version) http://www.springer.com/computer/database+management+%26+information+retrieval/journal/10618
9. Taylor, Orders & Weintrit, Adam & Adam,. (2009). THE ELECTRONIC CHART DISPLAY AND INFORMATION SYSTEM (ECDIS) AN OPERATIONAL HANDBOOK.
10. Barlett, D. and Wright, D., 2002. Marine And Coastal Geographical Information Systems. Abingdon: CRC Press [Imprint].
11. Pallikaris, Athanasios. (2016). Γενικά χαρακτηριστικά και βασικές λειτουργίες συστημάτων ECDIS.

Useful Webpages
http://www.itl.nist.gov/div898/handbook/index.htm
http://www.businessballs.com/business-process-modelling.htm
http://dna.fernuni-hagen.de/papers/IntroSpatialDBMS.pdf
http://sevenseas-marine.com/wp-content/uploads/2015/07/ECDIS-Complete-brochure-preview.pdf