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Impulsa tu carrera profesional

Certificación Profesional en
Spatial Computational Thinking
NUS

Lo que aprenderás

  • Writing procedural algorithms using fundamental data structures and control-flow constructs.
  • Creating rich and varied information models combining geometry with semantics.
  • Integrating multiple procedures to generate complex spatial information models.
  • Evaluating alternative spatial models to support performance-based decision making.

Spatial Computational Thinking is increasingly being recognised as a fundamental skill for various spatial disciplines. It involves idea formulation, algorithm development, solution exploration, with a focus on the manipulation of geometric and semantic datasets. In this Professional Certificate Program, you will learn the theoretical knowledge and practical skills required for leveraging computation for the manipulation of various types of spatial data.

The program consists of four courses, starting with the fundamentals and gradually increase in complexity.

  • The first course – Procedural Modelling – focuses on the fundamentals of procedural programming in a 3D environment. You will learn to write computational procedures using data structures and control-flow statements to automatically produce geometric models.
  • The second course – Semantic Modelling – focuses on augmenting geometric models with an additional layer of semantic information. You will learn how geometric entities can be tagged with additional attributes, and how these attributes can then be used for querying your models.
  • The third course – Generative Modelling – focuses on generating complex spatial information models capturing various relationships and constraints. You will learn how to tackle challenging problems by integrating multiple procedures that work together to generate spatial information models.
  • The fourth course – Performative Modelling – focuses on evaluating alternative spatial configurations to support evidence-based decision making. You will learn methods for calculating various spatial performance metrics related to the built environment that can be used for comparative analysis of design options.

All the courses will use a free and easy to use browser-based software to write algorithms for generating and visualizing 3D models, called Möbius Modeller. The programming language uses a visual programming approach combining flowcharts with procedural programming. This will allow you to quickly learn the knowledge and skills required for writing complex computational procedures for generating, analysing, and visualizing complex 3D spatial information models. The programming knowledge you gain will be highly transferable if you later choose to use other languages such as Python or Javascript.

Capacitación de la mano de expertos
4 cursos de capacitación
A tu ritmo
Avanza a tu ritmo
5 meses
4 - 6 horas por semana
$596
USD
Para obtener la experiencia completa del programa

Cursos en este programa

  1. Certificación Profesional en Spatial Computational Thinking de NUS

  2. 4–6 horas por semana durante 5 semanas

    This course will focus on the fundamentals of procedural programming in 3D. You’ll learn to write computational procedures using data structures and control-flow statements to automate the production of geometric models.

  3. 4–6 horas por semana durante 5 semanas

    This course focuses on augmenting geometric models with an additional layer of semantic information. You will learn how geometric entities can be tagged with additional attributes, and how these attributes can then be used for querying your models.

  4. 4–6 horas por semana durante 5 semanas

    This course focuses on the generation of complex spatial information models capturing various relationships and constraints. You will learn how to tackle challenging problems by integrating multiple procedures that work together to generate spatial information models.

  5. 4–6 horas por semana durante 5 semanas

    This course focuses on evaluating alternative spatial configurations to support evidence-based decision making. You will learn methods for calculating various spatial performance metrics related to the built environment that can be used for comparative analysis of design options.

    • The growth in importance of skills such as technology design and programming highlights the increasing demand for various forms of technology competency (World Economic Forum, 2018).
    • By 2030, demand for skilled workers will outstrip supply, resulting in the global talent shortage of more than 85.2 million people (Korn Ferry, 2018).
    • A shortage of digital talent is hampering the digital transformation of over 54% of the organisations surveyed (Capgemini and LinkedIn, 2017).
    • Computational thinking is used to develop 21st-century skills such as logical thinking and problem-solving skills among students. (European Commission, Joint Research Centre, 2016).

Conoce a tus instructores

de The National University of Singapore (NUS)
Patrick Janssen
Associate Professor
National University of Singapore
Derek Pung
Researcher
National University of Singapore
Pradeep Alva
Researcher
National University of Singapore

Expertos de NUS comprometidos con el aprendizaje en línea

Design también disponible en edX

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