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. | |||||||||
| 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. | |||||||||
| 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. | |||||||||
| 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. | |||||||||
| RES7001 | Engineering of Smart Membrane Process | 3 | 6 | Major | Bachelor/Master/Doctor | Global Smart City | Korean | Yes | |
| In this class, the basic concept of the membrane process and management will be taught by general instruction. Students can understand the type of membrane process (MF, UF, RO and FO, etc.), process configuration, removal mechanism by the membrane, management technique, pretreatment, and furthermore, the operation of the smart membrane process through monitoring and automatical systems. Students can apply the konwledge learned through this class to the design and operation smart membrane process. | |||||||||
| SFC4001 | Smart Factory Capstone Design 1 | 3 | 6 | Major | Bachelor/Master | Smart Factory Convergence | Korean | Yes | |
| This corporate-sponsored projects course in smart factory is an industry-university partnership that integrates design, manufacturing, service engineering, and business realities into the engineering curriculum. Students take their project ideas from concept to reality by designing, prototyping, and simulating real solutions in state-of-the-art facilities. This course challenges students to apply the knowledge and tools acquired during their undergraduate education to solve real-world engineering problems. | |||||||||
| SFC4002 | Smart Factory Capstone Design 2 | 3 | 6 | Major | Bachelor/Master | Smart Factory Convergence | Korean | Yes | |
| This course provides a unique opportunity for industry to partner with our university to educate the next generation of world-class engineers. Interdisciplinary teams of students work together to tackle projects sponsored by industrial clients. These teams collaborate with engineering faculty, who serve as mentors and advisers, to devise ideas to solve engineering problems. | |||||||||
| SFC5005 | Smart Factory Application Programming | 3 | 6 | Major | Master/Doctor | Smart Factory Convergence | Korean | Yes | |
| This course will teach you how to develop an embedded systems device for implementing the smart factory. In order to reduce the time to market, many pre-made hardware and software components are available today. You'll discover all the available hardware and software components, such as processor families, operating systems, boards and networks. You'll also learn how to actually use and integrate these components. In smart factory, this will focus on capturing data from a trusted smart factory device and sending the data to a cloud platform where it can be exploited by the many services available. You will explore all the steps required to create a basic Industrial IoT solution using a popular device, the Raspberry Pi, and a trial version of the cloud-based IBM Watson IoT Platform. | |||||||||
| SFC5016 | Smart Factory Consulting | 3 | 6 | Major | Master/Doctor | Smart Factory Convergence | Korean | Yes | |
| In this course, the manufacturer learns how to develop a business plan and consulting on the level of field-oriented diagnostics considering the existing operating environment in order to be competitive in smart manufacturing. Understanding of smart factory construction throughout data collection, analysis, and diagnosis from facilities and equipment, proposal of customized system to manufacturers for new introduction, configuration and construction of collection environment for production site data using existing equipment and equipment, and diagnosis of problems and improvements. | |||||||||
| SFC5019 | Manufacturing Big-data Analytics | 3 | 6 | Major | Master/Doctor | Smart Factory Convergence | - | No | |
| This course deals with a broad outline of big data technologies. In order to understand the basic fundamentals of big data technologies, this course firstly introduces the state-of-the-art big data technologies which are currently being developed. In addition, the principles of HDFS, Map Reduce, and NoSQL are introduced. This course also presents the recent development trend of real-time big data processing such as Storm, Kafka, and Spark Streaming. The course has an additional focus on Machine Leaning & Data Science developed to advance data science skills that are often required to implement big data projects in manufacturing. Finally, each student designs and implement a big data system in order to resolve a given problem in manufacturing. | |||||||||
| SFC7001 | Smart Factory Convergence Capstone Design 1 | 3 | 6 | Major | Bachelor/Master/Doctor | Smart Factory Convergence | Korean | Yes | |
| This corporate-sponsored projects course in smart factory is an industry-university partnership that integrates design, manufacturing, service engineering, and business realities into the engineering curriculum. Students take their project ideas from concept to reality by designing, prototyping, and simulating real solutions in state-of-the-art facilities. This course challenges students to apply the knowledge and tools acquired during their undergraduate education to solve real-world engineering problems. | |||||||||
| SFC7002 | Smart Factory Convergence Capstone Design 2 | 3 | 6 | Major | Bachelor/Master/Doctor | Smart Factory Convergence | Korean | Yes | |
| This course provides a unique opportunity for industry to partner with our university to educate the next generation of world-class engineers. Interdisciplinary teams of students work together to tackle projects sponsored by industrial clients. These teams collaborate with engineering faculty, who serve as mentors and advisers, to devise ideas to solve engineering problems. | |||||||||
| SWE2015 | Data Structures | 3 | 6 | Major | Bachelor | 2 | Computer Science and Engineering | English,Korean | Yes |
| The purpose of this course is to introduce data structures necessary for solving computer-oriented real problem and principles and techniques for specifying algorithms. The interesting topics will include the following; arrays, stacks, quenes, linked lists, trees, graphs, sorting, hashing, and AVL trees. The recommended prerequisite course for this study might include Discrete Structure and C-language. | |||||||||
| SWE3011 | Introduction to Artificial Intelligence | 3 | 6 | Major | Bachelor | 4 | Computer Science and Engineering | English,Korean | Yes |
| This course focuses on foundation of theory and introduction of advanced topics. Detailed subjects for theory are problem representation in state space, search strategy including breadth first search, depth first search and heuristic searchand knowledge representation methods such as using predicate logic, resolution and using rules. Advanced topics planning system (STRIPS), neural network and fuzzy techniques such as perceptron and hopfield network with learning methods, computer vision techniques such as image representation, edge detection, line and curve detection are also introduced. Finally, we introduce symbolic programming language, LISP with examples. | |||||||||