ABSTRACT
As small cities, the primary purpose of smart universities is to facilitate campus life by applying technology and use scarce resources more effectively by reducing consumption. Unlike other smart university studies, this research focuses on analyzing and designing the sustainability requirements of an analytical system after establishing the smart campus infrastructure. The research presents the possible outputs that can be achieved with real-time data analytics and reveals the definition, analysis, and design of the sustainability and development needs of the system. The system outputs are produced in three main groups such as descriptive, predictive, and prescriptive. They are presented to the service of relevant stakeholders in universities in an easily accessible way. The types of data required to obtain these outputs are also investigated in detail. The V-model system development methodology was followed in the project.
