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Academics

Dept. of Mechatronics Engineering

Dept. of Mechatronics Engineering

In-depth learning of the core technologies required in a new era where robots and humans collaborate, Intensive cultivation of practical skills for one year

TEL031)467-4738FAX 031)467-4869Location Yulgok Hall 4/5F

Course Outline

Course Outline

Subject Education Contents
Intelligent Robot Control This course covers fuzzy control and neural network circuits used for the control of robot intelligence. The fuzzy control part introduces the fuzzy theory, fuzzy set, fuzzy relationship, fuzzy logic, and fuzzy control of robots, and the neural network part explains the structure of neurons, principles of neural networks, and neural network models, and then how to control the robots applied with neural networks.
Measurement Equipment Design and Control Automated measuring devices for shape, color, and motion of products are essential equipment in the modern manufacturing industry, and they are also advanced ICT systems that encompass sensors, robots, and communication technologies. This lecture lists the elemental technologies necessary to make an optical-based measurement equipment and aims to make students acquire the techniques to make the actual equipment for each technology.
Semiconductor Process and Equipment This course introduces the basics of semiconductors and examines the entire manufacturing process from wafer to semiconductor device. Students can understand the principle of semiconductor equipment that requires the highest level of automation equipment and acquire basic knowledge about actual equipment.
Introduction to Smart Factory This course allows students to learn the convergence of basic knowledge and element technology for smart factory design, based on basic knowledge on digital circuit, microprocessor application, sequence design, data communication, computer programming, PLC control, etc., in order to cultivate future industry talents required for the 4th industrial revolution.
Smart factory Design and Practice Based on the convergence of element technologies in the “Introduction to Smart Factory”, the practical case studies of smart factory design and operation are managed in a top-down approach through team teaching based on student-led, project-based learning. The course aims to make students learn how to acquire and analyze data extracted from the entire process of smart factory.
Semiconductor Equipment Component Technology Students learn about the principles and characteristics of special component parts used in semiconductor equipment according to semiconductor processes. Students learn the theory of various parts and materials such as gas and chemical piping and piping component parts, vacuum and plasma related parts, quartz and vacuum parts (pump, sensor), chiller, etc., and practice on piping and vacuum parts, WTR control, etc. .
Automation Case Study Korea ranks first in the world in terms of the use of robots in the manufacturing industry and requires the talent for each field of automation in which students hope to work. This course allows students to select and study automation issues and cases demanded by business and the society through a PBL format.
IP Case Study The course reviews, analyzes, and studies various automation cases using mechatronics technology. It promotes the understanding of the actual examples of patents and intellectual property rights for various automation technologies and actual equipment.
Curriculum Table

Curriculum Table

Major Category Subject Year 4 Total
1st semester 2st semester Credit Practice
Credit Hour Credit Hour
Theory Practice Theory Practice
Optional major subject Intelligent Robot Control 3 2 1       3 3
Optional major subject Measurement Equipment Design and Control 3 1 2       3 3
Optional major subject Semiconductor Process and Equipment 3 3 0       3 3
Optional major subject Introduction to Smart Factory 2 2 0       2 2
Optional major subject Smart factory Design and Practice       3 2 1 3 3
Optional major subject Semiconductor Equipment Component Technology       3 2 1 3 3
Optional major subject Automation Case Study       3 0 3 3 3
Optional major subject IP Case Study       2 2 0 2 2
                   
Optional major subject Subtotal             22 22
Total 11 8 3 11 6 5 22 22