Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Graduate School of Sciences
  • Remote Sensing and Geographical Information Syst.
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Spatial Digital Twins
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title UCS5501 - Spatial Digital Twins
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ RESUL ÇÖMERT
Mode of Delivery face to face
Prerequisites There is no prerequisite for this course.
Courses Recomended There are no recommended courses.
Required or Recommended Resources Recommended sources;Ali, M.E., Cheema, M.A., Hashem, T. et al. Enabling Spatial Digital Twins: Technologies, Challenges, and Future Research Directions. PFG 92, 761–778 (2024). https://doi.org/10.1007/s41064-024-00301-2Metcalfe, J., Ellul, C., Morley, J., & Stoter, J. (2024). Characterizing the Role of Geospatial Science in Digital Twins. ISPRS International Journal of Geo-Information, 13(9), Article 320. https://doi.org/10.3390/ijgi13090320
Recommended Reading List Spatial Digital Twins: Global Status, Opportunities, and the Way Forward, WGIS Policy Reports 2022-1
Assessment methods and criteria 1 mid-term exam - 1 Final
Work Placement None
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to Digital Twins
Week - 2 Cases of Digital Twins
Week - 3 Concept and Characteristics of a Spatial Digital Twins
Week - 4 Data Capturing and Processing
Week - 5 Remote sensing data acquisition
Week - 6 Data processing with geographic information systems
Week - 7 3D Modelling (Geometry, Topology, and Semantics)
Week - 8 3D Modelling (Geometry, Topology, and Semantics)
Week - 9 Visualisation of 3D/4D Spatial Information
Week - 10 3D/4D models vs. IoT technology
Week - 11 3D/4D models vs. IoT technology
Week - 12 Using Cases of Spatial Digital Twins
Week - 13 Using Cases of Spatial Digital Twins
Week - 14 Using Cases of Spatial Digital Twins

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Team/Group Work
  • Demonstration
  • Drill - Practise
  • Problem Solving
  • Brain Storming
  • Report Preparation and/or Presentation
  • Proje Design/Management
  • Competences
  • Productive
  • True to core values
  • Rational
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Civic awareness
  • Effective use of Turkish
  • Environmental awareness
  • Effective use of a foreign language
  • Work in teams
  • Use time effectively
  • Respect differences
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Concern for quality
  • Information Management
  • To work autonomously
  • Organization and planning
  • Elementary computing skills
  • Decision making
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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