Digital Solutions for Smart Cities

Course Description: Introduction – Smart Cities. Related telecommunication technologies. Working principles of sensors and the related systems. Big data generated by the sensors of smart cities. Modelling by using graphs and queues. IoT (Internet of Things) and related applications. Visualizing sensor data. Mapping sensor data. Sensing location. Privacy and security issues. Smart health systems. Smart traffic management. Smart waste management. Smart water management. Software platforms for smart cities. Course Objectives: 1. To introduce the telecommunication technologies employed in cities in order to make them smarter. 2. To introduce sensor networks and their use in smart city applications. 3. To teach graph and queue based models for smart city applications. 4. To teach how to apply data mining models on the data collected from the sensors in cities. 5. To introduce the smart city applications for the citizens.

weekly

29/01/2024

1. Ability to understand the use of smart technologies in urban infrastructure systems. 2. Ability to work with the telecommunication, sensor and smart infrastructures that are used in cities. 3. Ability to benefit from the big data collected in cities in order to develop smart city applications. 4. Ability to understand the problems encountered in a city and introduce smart solutions. 5. Ability to develop/design smart applications for a city. 6. Ability to propose applications for sustainable cities.

None

42 h - 14 weeks

7.5

Written Examination

5

İstanbul Teknik Üniversitesi

Graduate School

Computer Engineering