For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| RES5043 | Directed Study for Master Thesis I | 3 | 6 | Major | Master | Global Smart City | Korean | Yes | |
| This is the first in a two-course master's thesis prep series. Students are shown to how to develop an idea through sessions where faculty discuss their own research process (including social factors, historical/archival, design exploration, master planning, theoretical, and scientific fieldwork approaches). Students develop a conceptual framework for their thesis, literature review, and detailed work plan. | |||||||||
| RES5044 | Directed Study for Master Thesis II | 3 | 6 | Major | Master | Global Smart City | Korean | Yes | |
| This is the second course in the doctoral thesis prep series. The course is designed to help students organize and mobilize preparation by setting deadlines and offering technical assistance. Primary activities include a presentation to faculty of thesis progress; preparation of a detailed outline and draft chapters; and tutorials on writing. The final result should be a preliminary thesis or equivalent work with sufficient format. | |||||||||
| RES5045 | Intelligent Building Energy Management | 3 | 6 | Major | Master/Doctor | Global Smart City | - | No | |
| This course provides intelligent building energy management technologies using artificial intelligence and data fusion techniques to improve urban building energy efficiency. It is based on the basics of building energy engineering and building operation. | |||||||||
| RES5046 | Environmental Water Chemistry | 3 | 6 | Major | Master/Doctor | Global Smart City | - | No | |
| By providing the general theory of chemistry required in the field of environmental science or environmental engineering, it aims to cultivate general academic knowledge required to understand environmental phenomena and environmental systems. | |||||||||
| RES5047 | Biological Wastewater Treatment | 3 | 6 | Major | Master/Doctor | Global Smart City | Korean | Yes | |
| Engineering knowledge for biological water treatment is acquired through basic theories of microbiology and applications such as biological models and water treatment system design regarding water purification or biological treatment of wastewater. | |||||||||
| RES5048 | Satellite Remote Sensing based Water-related Disaster Analysis | 3 | 6 | Major | Master/Doctor | Global Smart City | - | No | |
| This class is designed to analyze the impact of water-related disasters on the city. In order to observe and analyze the relationship and impacts between the watershed and the surrounding cities, satellite based remote sensing data are used. To analyze the various cases of water disasters in the past, various observation data of related factors are controled. Furthermore, by analyzing the patterns of disasters caused by climate change, students learn to design safer urban environments. | |||||||||
| RES5049 | Problem Based Learning in Construction | 3 | 6 | Major | Master/Doctor | Global Smart City | - | No | |
| In this course, students will meet research problems individually and learn how to solve the problems by meeting and discussions with professors. During the meeting, students will develop their research issues and present their each time line results. The ares of this course is about Planning, Construction Management, Green of Smartcity. | |||||||||
| RES5052 | Soft Architecture and Smart Environment | 3 | 6 | Major | Master/Doctor | Global Smart City | English | Yes | |
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Metaverse is practically replacing the Internet. The very essence of the dwelling and building is brought into question. Software becomes the major elements of building as in other industries, and the notion of |
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| RES5053 | Waste-to-Energy | 3 | 6 | Major | Master/Doctor | Global Smart City | Korean | Yes | |
| A tremendous amount of waste (e.g., plastic waste, organic waste) has become a serious global environmental problem. Waste-to-energy is the process of generating energy in the form of electricity and/or heat from the primary treatment of waste, or the processing of waste into a fuel source. This field is widely investigated in many conuntries because it is considered an effective strategy for simultaneously achieving waste treatment and carbon neutrality. To study principles and theories of various processes for transformation of various kinds of waste into energy. | |||||||||
| RES5054 | Urban Building Data Fusion | 3 | 6 | Major | Master/Doctor | Global Smart City | Korean | Yes | |
| Urban building energy reduction is important in the recent global scenarios of realizing carbon neutrality. This course is intended to provide urban building energy data fusion techniques to analyze and diagnose building energy decrease and energy efficiency. Data fusion fundamentals, building energy data characteristics, building sensing environments, data mining approaches are addressed to achieve the objective of this course. Moreover, urban building energy modeling methodologies including bottom-up and top-down approaches are proposed and then their modeling strategies are discussed. In the given assignments and projects, urban building energy analysis will be performed using the building energy open datasets. | |||||||||
| RES5055 | Advanced Theory of Eco-friendly Alternative Energy | 3 | 6 | Major | Master/Doctor | Global Smart City | - | No | |
| In this graduate level course, students learn advanced principles and fundamentals of various eco-friendly alternative energy technologies (e.g., solar energy, hydrogen energy, energy storage, bioenergy, hydroelectric power, tidal power, and wind power) and their applications from an engineering point of view at a graduate level. In addition, most recent trends towards the eco-friendly alternative energy technologies will be introduced. | |||||||||
| RES5056 | Fundamentals of Ultra-pure water | 3 | 6 | Major | Master/Doctor | Global Smart City | Korean | Yes | |
| The primary objective of this course is to provide students with fundamental knowledge regarding ultrapure water, which is indispensable in the semiconductor and manufacturing sectors. The course delves into the significance of ultrapure water in manufacturing industries, examines the composition of manufacturing processes, and explores recent technological trends. Furthermore, the course investigates the fundamental principles governing ultrapure water production by analyzing academic literature and presenting specific case studies in the field. | |||||||||
| RES5057 | BIM & Smart Constructon | 3 | 6 | Major | Master/Doctor | Global Smart City | English | Yes | |
| This class teaches methods to build a construction plan and 4D simulation for Smart City, facilities, or buildings using BIM(Building Information Model). Through hands-on experience on BIM tools of 4D CAD as well as building construction plans, students are going to have a basic knowledge for construction plans required for smart city or facility construction. Students in this class should have basic knowledge for BIM authoring tools, such as ArchiCAD or Revit. | |||||||||
| RES5058 | Practical Deep Learning | 3 | 6 | Major | Master/Doctor | Global Smart City | Korean | Yes | |
| In this deep learning project course, students with basic Python coding knowledge are the target audience. Those with coding experience in Matlab or C# can also follow along after learning the basic syntax of Python. The course focuses more on practical coding skills than on theory. With the emergence of various AI models, there is a common practice of utilizing open-source code in real-world projects. Students will learn to implement AI models easily using open-source resources. Additionally, the course includes integration of popular tools like ChatGPT through its API. The course is structured as follows: - Python Syntax Review: Brief explanation of essential syntax for deep learning coding. - Basics of PyTorch: Learning to use this leading deep learning framework. - Key Algorithms: - Using PyTorch for Classification and Regression. - Image Classification: Convolutional Neural Network. - Anomaly Detection: Auto Encoder. - Time Series Data Processing: Recurrent Neural Network. - Utilizing Open Source: - Yolo: Widely used algorithm in object recognition. - mmOpenLab: Framework allowing application of various latest vision-related algorithms. - Streamlit: Simplifying Python code into web applications. - Integrating ChatGPT API. | |||||||||
| RES5059 | Adsorption pretreatment for ultrapure water production | 3 | 6 | Major | Master/Doctor | Global Smart City | Korean | Yes | |
| In the semiconductor industry, the use of ultra-pure water has become essential for semiconductor cleaning, ultrasonic cleaning, pharmaceutical manufacturing, resin polymerization, fine chemical industry manufacturing high-purity products, and food industry. The water quality required for ultrapure water for the electronics industry has become more stringent every year as semiconductor devices become more microprocessed. In the future, semiconductor devices will become increasingly miniaturized and complex, and it is expected that even slight impurities attached to the surface of the device will lead to performance deterioration. Adsorption is one of the methods to remove impurities contained in ultrapure water, and can be used as one of the ultrapure water pretreatment methods. This subject will cover this topic. Presentations by students will be main of this class. | |||||||||