Credits: 10


Date and timePlace

Teaching Period (valid 01.08.2018-31.07.2020): 

IV-V (spring term), intensive week

Learning Outcomes (valid 01.08.2018-31.07.2020): 

The aim of the course is to provide understanding of the multidimensional concept of ´smart and liveabe city' and the ubiquitous ICT in our living environment, what this means in different contexts and how it can be applied and evaluated from a variety of perspectives in the practice of planning and design.

As an outcome of the course the student achieves knowledge of different urban systems in the context of liveability, and recognizes the wide-ranging expertise necessary to the planning and developing cities.

Students will learn to cope with the uncertainties in available planning data and, to consider the reliability of methods through a hands-on process in which their planning principles are constantly tested.

Students will get familiar with the evolving field of computational planning and planning support systems.

Finally, students will receive practical skills which support their professional development.

Content (valid 01.08.2018-31.07.2020): 

The emphasis of the course is methodological. The students will conduct a series of methodological exercises related to planning and design. The course follows a human-centric framework and discusses widely the liveability of cities.

Students will work both individually and in small teams in cooperation with professionals in the field. Besides the weekly contact teaching, an intensive week will be arranged to support working together.

Lectures will be arranged related to liveability, smart cities and digitalized planning.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

The pedagogy of the course is based on collaborative and problem oriented approaches, as well as learning by doing, and seeks to achieve both double and triple loop learning. Collaborative methods, rich use of urban information and ict-enabled tools, presentations and visualization skills are emphasized.

The course will be passed when the student has the following assignments accepted:

1) conducting all the planning related exercises on the smart and liveable city,

2) co-creating of the smart & livable city concept from a holistic and integrative perspective.

Therefore, 80 % participation in the classroom work is obligatory.

Study Material (valid 01.08.2018-31.07.2020): 

Readings of the course (articles, book chapters etc.) will be specified later.

Course Homepage (valid 01.08.2018-31.07.2020):

Prerequisites (valid 01.08.2018-31.07.2020): 

: For the project work of the course you should master at least one and be somewhat familiar with at least one of the following skills:

You are able to utilize and combine various cad drawings and other data from different sources, often provided as autocad-files, potentially using different coordinate systems

You are able to use either Revit or Archicad (and possibly Rhino/3dsmax + a rendering software) to open existing BIM models, quickly model, edit, and visualize anything from building parts to neighborhoods

You are able to use a graphic suite of your choosing to create visually appealing illustrations, charts, drawings, maps and page layouts

You are able to create real-time rendered 3d-scenes + simple logic and controls using a general purpose game engine such as Unity

You are able to utilize GIS data provided in different formats and coordinate systems using a suite such as ArchGIS

You can create interactive web-based visualizations HTML5 (with or without libraries such as D3) and/or mapping tool APIs, such as Google maps

You are able to use advanced analysis methods either by powerusing Excel including Macros/Pivot tables, and/or using Matlab, Mathematica

You are able to create simulations using traffic simulation software (e.g., VISSIM, Aimsun, Paramics, etc.) and/or use travel demand forecasting software (e.g., eMME, VISSUM, CUBE, etc.)

You are proficient with some evaluation tools (e.g., accessibility assessment, cost-benefit analysis, multicriteria analysis, HDM, STEAM)

You are able to create prototypes and implement algorithms using a programming language and a database management software of your choice (e.g., MS Visio, Simulink, Python, VBA, SQL)

You are proficient with some of the traffic operations design tools (e.g., Synchro, Transyt 7F, HCS+, SIDRA)

You are confident with your statistical analysis skills (e.g., SPSS, JMP, Minitab, R)

You are able to utilize qualitative data analysis tools (e.g., NVivo, Atlas.ti)

Grading Scale (valid 01.08.2018-31.07.2020): 


Registration for Courses (valid 01.08.2018-31.07.2020): 

Max 15 students; masters' students from land use planning and transportation engineering, architecture, landscape architecture, real estate business, energy engineering, geo-informatics or other relevant master's programs.


Registration and further information