Intelligent Building Systems
PhD, researcher
Course, workshop, MOOC, seasonal school
Hybrid
-
7.5
05/02/2024 to 17/05/2024
Course Description
Course Description: Definitions of intelligent building, analysis of energy efficient-intelligent-green building concepts Building active, passive systems and automation systems for buildings Regulations and recommendations for comfort and security conditions Control strategies and methods for HVAC, electric, lighting, fire and security systems Internet of things and its applications IoT Communication protocols IoT based embedded, cloud and mobile programming Big data and its applications Course Objectives: Analysis of relations among definitions of intelligent, energy efficient and green building concepts and effects of automation systems on energy efficiency in the building. Teaching automation-control strategy and methods for building energy consumption systems. Providing information on IoT and the new trends in building automation and control systems. Giving students practice about smart system development via IoT.
Time format
weekly
Educational-info
Application deadline
29/01/2024
Competences
Ph.D. students who successfully pass this course gain knowledge, skills and proficiency in the following
subjects:
1. Analysis of intelligent building system definitions and relations with energy efficient and green
buildings.
2. Learning the automation-control strategies and methods for building energy consuming systems and
determination of required conditions for them.
3. Gaining technical background on new generation, internet of things based control and automation
systems and practical knowledge on developing IoT solutions.
4. Gaining information and experience about big data and its applications.
Prerequisites
Graduation from engineering or architecture
Duration
42 h - 14 weeks
Day of the weeks
ECTS
7.5
Validation mode
Team Project / Written Examination
Maximum number of students
5
Access to disable
Disability access in the building
Organizer
Partner
İstanbul Teknik Üniversitesi
Faculty
Graduate School
Department
Energy Science and Technology