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 analysing case studies and companies.
Learning Goals and Syllabus
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
Reading week: August 9th - August 13th, 2021. Flexible, 5 hours preparatory work to be done on-demand.
Online course: August 16th – August 27th, 2021. Estimated session times are Mondays through Fridays from 9 am to 2 pm CET for live lectures and group sessions, etc.
Please note that exact session times will be confirmed once registrations have closed (sessions will be scheduled according to the time zones of the registered course participants).
Should you have any questions regarding the course timetable, please contact us at firstname.lastname@example.org 
Please note this is a full-time, intensive course. Weeks 1 and 2 will involve approximately 30 hours of workload.
A detailed syllabus with information on the schedule will be made available to registered participants.
You may find the syllabus useful when discussing with your home university whether the ECTS credits attainable for this course are accepted by them.
This course is designed for current university students, working professionals and any individuals interested in transportation trends and development.
Participants from all fields and disciplines are welcome.
Prerequisites and Technical Requirements
Basic knowledge of the fundamentals of mathematics and statistics are essential.
We will ask participants to fulfill the following technical requirements:
- Fully functional device (laptop, tablet, PC)
- Stable internet connection
- Software: Zoom (App installed on desktop or over browser. Participants are requested to use their real name as zoom account name)
- Recommended: external headset for better sound quality
Prof. Dr. Massimo Moraglio is a senior researcher at the Technische Universität Berlin, working on technology and its wide effects on economic, social and cultural fields.
Massimo Moraglio is currently Academic Coordinator of the MBA “Sustainable Mobility Management” at TU Berlin and he has been visiting professor in Germany and Italy. He has been engaged as researcher and coordinator in European and national project regarding transport industry, final user’s attitudes and the future of mobility.
Dipl.-Ing. MBA. Hamid Mostofi is a researcher and Ph.D. candidate at faculty 1 of TU Berlin. He has experiences in the field of business analysis for urban infrastructure development and urban mobility as well as renewable energy development. He is the team member of GECI project at TU Berlin (Green Energy Center of Iran) which is defined by The Federal Ministry of the Environment (BMU).
He has the work experience in the field of teaching and preparing learning materials In the field of MBA courses in German universities Such as Sustainable Mobility Management MBA (TU Berlin) – MBA Renewables (Beuth Hochschule für Technik Berlin) and MBA&E (Hochschule für Technik und Wirtschaft Berlin). His current PhD thesis is System Dynamics modeling of rebound effects for Smart City Technologies on urban mobility.
Course fees for ICT & Transportation in Smart Cities are as follows:
Student: 720 Euro
Working professional/Non-student: 1120 Euro
The early bird discount is available for all participants until April 1st 2021.
Please note that students will be required to upload proof of their student status (student card/ enrollment information) during the registration process.