Semantic Modelling

Semantic Modelling

Course
en
English
20 h
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Source
  • From www.edx.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 5 Sequences
  • Intermediate Level

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Course details

Syllabus

Learning algorithmic thinking:

  • How semantics can be used to augment geometric models
  • The difference between geometry, topology, and attributes
  • How query languages can be used to extract data from models
  • Become familiar with a range of existing spatial data formats and representations

Learning semantic modelling:

  • Modelling with geometry, topology, and collections
  • Attaching attribute data to geometry, topology, and collections
  • Querying and filtering data in the model using attributes
  • Pushing attributes through the topological hierarchy
  • Visualizing models with colour and materials
  • Understanding polygon normals and their impact on light
  • Importing and exporting geometric and geospatial data models

Learning coding:

  • Developing complex data structures using nested lists and dictionaries
  • Using nested loops and nested conditionals
  • Strategies for looping: using a counter or iterating over a list?
  • How to avoid deep nesting of loops using data structures

Learning Möbius Modeller:

  • The Möbius Spatial Information data model
  • The 3D viewer and the attribute tables
  • Interrogating models in the 3D viewer

Prerequisite

Completion of Course-1: Procedural modelling of

program.

Instructors

Patrick Janssen
Associate Professor
National University of Singapore

Derek Pung
Researcher
National University of Singapore

Pradeep Alva
Researcher
National University of Singapore

Platform

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