Curriculum
The developed systematic multi-disciplinary curriculum fosters Smart City experts who meet real needs that combine social science fields such as Urban Administration and Management and Industrial Management with engineering fields such as Architecture, Urban Planning, and Design, Information and Communication, and Machine Learning
Curriculum organization
Basic Course
Introduction to Smart City, Theories and Trends in Urban Planning and Design
Core Course
Energy for Smart Cities, Smart City and Placemaking, Machine Learning Techniques for Smart City, Living Lab for Smart City, Smart Transportation Systems in Smart Cities, Integrated Smart Security System Design
Elective Course
Recycling in Smart City, Optimal Control and Operation of Eco-friendly Energy System for Smart City
The curriculum is divided into core and elective courses, and some subjects are designated for code sharing with courses from other departments in order to make students choose and build their own expertise
Core Courses
| Introduction of Smart City | SMA501 | Learn basic conceptual definitions of Smart City and approaches to urban composition and basic theory |
|---|---|---|
| Energy for Smart City | SMA502 | Learn basic theories and performance evaluation methods for designing renewable energy-based energy systems for Smart City |
| Living Lab for Smart City | SMA503 | Learn methods and design techniques for building Living Labs for providing services in Smart City |
Elective Courses
| Theories and Trends in Urban Planning and Design | SMA551 | Understand Urban Planning theory and recent trends based on the history and background of Urban Planning and Urban Design |
|---|---|---|
| Smart City and Placemaking | SMA552 | Based on the values covered in urban planning and design, it fosters the overall insight and thinking needed to realize a society, individual and people-centered city, not just a technology-based smart city |
| Machine Learning Techniques for Smart city | SMA800 | For integrated management, a new paradigm in existing urban management methods, learn the concepts of supervised learning techniques such as decision trees, artificial neural networks, support vector machines, and self-study techniques for clustering, and learn more about deep learning, big data, etc. |
| Smart Transportation Systems in Smart Cities | SMA554 | On ICT-based smart transportation and logistics systems for smart cities, explore key concepts and issues related to various smart transportations such as transportation infrastructure, intelligent transportation systems, transportation and environment, mobility, etc. |
| Integrated Smart Security System Design | SMA801 | Study security design techniques that can prevent crimes and deviations, which are inevitable social pathologies occurring in large cities, or anti-social crimes and terrorism against multi-use facilities, by converging them with smart technology |
| Recycling in Smart City | SMA555 | Learn the underlying theory for resource recycling of waste generated within Smart City and study recent technology trends |
| Optimal Control and Operation of Eco- friendly Energy System for Smart City | SMA556 | For optimal control of eco-friendly energy supply systems in Smart City, learn concepts of Artificial Intelligence -based optimal control techniques such as artificial neural networks, RNN models, reinforcement learning -based real-time adaptive optimal control algorithms, etc., and acquire techniques of eco-friendly energy supply and Smart City energy consumption prediction |