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In order to sign up for this master's level course, you must have a previous Bachelor's degree or a Master's degree or have equivalent skills.

Basic information

  • Target audience: Anyone interested about the topic
  • Application period: 24.11.2023-31.10.2024
  • Date: 1.1.-31.12.2024
  • Scope: 5 ECTS
  • Location: Online
  • Price: 75 €

Course content

During the study unit students will look at the history and the future of urban scape. They will be introduced to urban economics, real-estate markets and the evolution of digital cities. The students will be introduced to digital concepts of Internet of Things, Big data, ArtificiaI Intelligence and Internet Economy and their effects to the physical enviroment. In addition they analyse the working and living in digital urban environments.

The study unit can be carried out independently. The course will include preliminary assignment and 5 independent assignments, which will be combined as a portfolio.

The course will elaborate themes of:

  1. Evolving cities
  2. AI in built environment
  3. Digitalized cities
  4. Smart city -concept and platform economics
  5. Sustainability of cities and real estate standards

Skills you will gain

You will learn to:

  • Explain the forces behind evolution of cities
  • Analyse trends in real-estate market
  • Forecast the development of urban environment
  • Identify digital aspects of cityscape and analyse possibilities and risks of smart cities

Schedule

The study unit will be conducted completely online. In addition student can enroll to the course untill the end of the year 2024 as it is hop on/hop off course without spesific deadlines. It does not include any contact teaching or lecturing. So the student is free to complete the course flexible.

There will be an orientation lecture on 23.1.2024, which will be recorded. The orientation is not mandatory and can be watched later from canvas-space.

 

 

Student workload

The independent work will require self-management and time -management skills. The 5 assignments are not extensive, but require high academic skills and analytical mindset.

Evaluation

Fail-5

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