SemesterSpring Semester, 2025
DepartmentSophomore Class of Department of Land Economics-Geomatics Program
Course NameSpatial Modeling
InstructorSTEPHAN VAN GASSELT
Credit3.0
Course TypeRequired
Prerequisite
Course Objective
Course Description
Course Schedule

The course takes place on Monday afternoons and is open to all students. The main teaching language and all material (including software locales) are in English.



This course explicitly welcomes students from other study fields, as the concepts of modeling and databases are not exclusively related to geomatics.






























































































































































Topic Contents Teaching Class Homework  
Introduction Basics of Spatial Modeling 3 Hybrid Lab Lectures 3 2  
Introduction Basics of Spatial Modeling 3 Hybrid Lab Lectures 3 2  
Databases Foundations of Relational Database 3 Hybrid Lab Lectures 3 2  
Databases Foundations of Relational Database 3 Hybrid Lab Lectures 3 2  
Databases Foundations of Relational Database 3 Hybrid Lab Lectures 3 2  
Databases Spatial Databases 3 Hybrid Lab Lectures 3 2  
Databases Spatial Databases 3 Hybrid Lab Lectures 3 2  
Databases Spatial Databases 3 Hybrid Lab Lectures 3 2  
  Mid-Term Exam (Theory)        
Modeling Database Installation 3 Hybrid Lab Lectures 3 2  
Modeling Spatial Model Design 3 Hybrid Lab Lectures 3 2  
Modeling Spatial Model Design 3 Hybrid Lab Lectures 3 2  
Modeling Spatial Model Design 3 Hybrid Lab Lectures 3 2  
Modeling Spatial Model Design 3 Hybrid Lab Lectures 3 2  
Modeling Documenting Spatial Models 3 Hybrid Lab Lectures 3 2  
Modeling Designing a Modeling Project 3 Hybrid Lab Lectures 3 2  
Project Completion of a larger CAD project Project Work      
Project Completion of a larger CAD project Project Work      

Teaching Methods
Teaching Assistant

To be completed after appointment of teaching assistant.


Requirement/Grading

The course is successfully completed if the participant passes the mid-term and final exams with a combined score of 60% or better. The exams consist of background theory (mid-term) and project work (final exam).


Textbook & Reference

All material will be handed out during class. A list of recommended readings will be provided during the first lecture.


Urls about Course
Attachment