|Study location||Germany, Berlin|
|Type||On Campus, full-time|
|Nominal duration||2 weeks|
|Tuition fee||€890 per programme
The program price consists of the course/tuition fee (student or working professional, see details below) plus the registration fee (€60).
Student course/tuition fee: €890
This course/tuition fee covers the course, course materials and a cultural program.
|Registration fee||€60 one-time
The registration fee is in addition to the course/tuition fee and covers the processing of your application. It is payable upon registration. Please note that the registration fee is non-refundable.
All applicants are required to upload a document or certificate to demonstrate their proficiency in English language. If you are a non-native English speaker, you must prove you have a score equivalent to the level B2 or above in the European system (the Common European Framework of Reference for Languages, or CEFR), or provide evidence that you’ve undertaken an equivalent degree/studies in English.
More details: www.tu-berlin.de/menue/summer_university/requirements/
If you are a native English speaker, please select this during registration. You will then be exempt from having to upload proof of English level.
Basic knowledge of the fundamentals of mathematics and statistics are essential.
Specific requirements for Non-EU applicants:
Please upload your insurance waiver in English (all pages).
Cities around the world face rapid changes in their transportation systems with the advances in ICTs. Recent trends include on-demand and shared mobility-modes and automation in public and private transportation systems; these new solutions impact transport industry, infrastructures management as well as political agenda. Focusing on Intelligent Transportation Systems (ITS), new “Smart Mobility” system and real-time network management have been developed as potential solutions to mitigate congestion issues and improve network efficiency.
This course will bring a general overview about sustainable and smart transportation in the future smart cities in terms of i) industry trends, business models, technical and urban design aspects. Based on different European case studies, especially in Germany, this program participants will get to know innovative methods to deal with Smart cities current and future solutions.
The course combines theoretical and practical learning materials for transportation modelling and simulation techniques, with a focus on Smart Mobility and ITS solutions and real-world applications.
Participants will review the most well-known traffic simulation models, learn about demand forecasting methods, business, social and political issues and related analytical techniques.
Moreover, students will gain insight into the concept of the smart mobilities and how their business models could grow by analyzing case studies and companies.
Students will gain the knowledge and analytical skills in the fields of:
- Transport trends and futures (Megatrends)
- New social behaviors and innovative agendas, including sustainability goals
- Intelligence Transport systems (ITS) and Smart mobility modes
- Modeling and simulation approaches for future mobility
- Forecasting demand models in smart cities