The Computer and Informatics Engineering course is designed to develop the students’ capacity for logical thinking and creativity through theoretical education and on-the-job practice in all aspects of the most advanced computing, information, communication and IT industries.
The curriculum of this course is designed to provide the brains for the advanced information industries, and includes not only the fundamental theories of software and hardware but also such extensive expert technologies as Internet and Web technologies, programming languages, information security, artificial intelligence, distributed computing, parallel processing, pattern recognition, database, computer graphics, simulation, complier, and operating systems.
Graduates will be awarded a BS degree, and will most likely go on to find jobs in diverse business and research organizations in the information, communication, electronics, finance and medical sectors.
Aviation and drones are included in the government’s 8 key leading industries, the 13 innovation and growth engine industries, and the 12 new promising industries. Urban air mobility (UAM) using drones is included as one of the leading fields in the 3rd Master Plan of Aviation Policy (2020~2024) established by the Ministry of Land, Infrastructure, and Transport. The application areas of aviation and drones are continuously expanding. According to the government’s preemptive regulation abolition road map for drones, the drone industry is expected to produce approximately KRW 21 billion worth of products and create about 170,000 jobs by 2028.
The goal of the Department of Smart Drone Engineering is to foster creative drone experts with advanced expertise and ICT convergence competence. In order to foster talented individuals who will lead the drone industry as the result of convergence of different fields such as aviation engineering, machinery engineering, electronic engineering, and computer engineering and software, we provide design education and on-site training for practical job competence as well as basic theories and experiment education. We will do our best to develop students’ convergence development competence through creative projects.
Through our comprehensive curriculum, students can grow as differentiated talented individuals who will lead the future hi-tech aviation fields such as future drones, personal air vehicles (PAVs), UAM, and autonomous flight and robots.
The curriculum of the Department of Smart Drone Engineering largely consists of general liberal arts subjects, basic major subjects, and required/optional major subjects related to drones. The goal of the curriculum is to grow students as drone experts who are capable of studying and developing future aviation, represented by new-concept drones PAV and UAM.
During their freshman year, students take general liberal arts subjects and basic major subjects such as Introduction to Aerospace, English Communication, Writing, Introduction to Artificial Intelligence, Introduction to Coding(Python), History of Technology, Entrepreneurship, Modern Mathematics, Introduction to Simulation Flight, and Basic Engineering Design. During their sophomore year, students learn major subjects such as Physics & Experiments, Differential Equations, Introduction to UAM, Programming Practice, Materials Mechanics, CAD, Probability & Statistics, Flight Dynamics, Dynamics, Adventure Engineering Design, Signal & System, and Electronic Circuit & Practice.
In their junior year, students take the required/optional major subjects related to drones such as Flight Design Project, Automatic Control Design, Image Processing, Embedded System, Sensor Engineering, Drone Manufacturing Practice, Machine Learning, AI, Radio Communications & Security, Software Engineering, and Autonomous Flight. In their senior year, students learn their major in depth through Drone Operation Practice, Ground Control System, ATM, Application of Artificial Intelligence, Creative Capstone Design, Aviation Act, etc.
The demand for a workforce specializing in the research, design, manufacturing, operation, and maintenance of drones and UAM is expected to increase gradually. Students can carve out their career in a wide range of fields such as airlines, aviation maintenance service providers, broadcasting companies, logistics/transport companies, government agencies related to agriculture and fisheries, Korea Forest Service, police, firefighter, unmanned aerial vehicle/robot companies/research institutes, software development companies, and drone operation/maintenance of the army, navy, and air force.
The Department of Autonomous Vehicle Engineering was established with the goal of nurturing experts who will lead the AI and autonomous driving industries, which are expected as new growth engines in the era of the 4th industrial revolution. As a participatory department of the software-oriented project group supported by the Ministry of Science and ICT in 2021, the educational goal is to nurture practical AI convergence talents with the technology development and research capabilities required by the industry through the operation of internships and project-based learning.
Autonomous driving technology is an AI convergence technology applied to electric vehicles based on eco-friendly energy and is a core technology that will develop the future mobility industry. In addition, as a core technology in the era of the 4th industrial revolution that is expected to be applied not only to future cars but also to various industrial fields such as robots, aircraft, ships, and agricultural machinery.
AI-based Autonomous system technology could also be applied to Urban Air Mobility, where global companies are competing for development as a future transportation method. As it is emerging as a core technology, it is the most promising new growth industry in the future.
Since the core of autonomous driving technology is the convergence of various disciplines, we intend to foster convergence experts through cooperation with related industries while linking with the software department and smart drone engineering department of the AI Convergence University in Korea Aerospace University. You will be specialists with comprehensive knowledge and creative engineering design capability. You also will be global leaders with international competitive advantages, social responsibility, communication, and problem-solving competence with teamwork.
You will learn for AI-based multi-discipline engineering convergence to design an autonomous vehicle. It will be necessary to study the engineering theories such as AI/SW, electrics/electronics, mechanics, etc. for the processes of perception, decision, and control that autonomous vehicle must perform. It also requires embedded systems that could implement these theories and communication engineering for data sharing. Furthermore, we want our students to grow as a multiplayer system engineer by pursuing a design project-based curriculum where you can experience the entire product development cycle from planning and design, hardware manufacturing, software implementation, and testing. To achieve this goal, the curriculum taught in this department is composed of general liberal arts, compulsory majors, AI autonomous vehicle compulsory subjects and major electives.
In the freshman year, there are general liberal arts such as English communication, entrepreneurship, general physics, modern mathematics, and history of technology. For the basic major, introduction to programing (python/C), introduction to artificial intelligence, and basic engineering design. In sophomore, you will learn engineering mathematics, AI programming, introduction to autonomous vehicle, basic engineering mechanics, digital logics and computer system architectures, embedded system programming, electric and electronic engineering, deep learning, and creative engineering design as compulsory and elective major subjects. The AI autonomous vehicle required and elective subjects to be completed in your junior year include machine learning, automatic control system design, mobility dynamics, mobility sensors, reinforcement learning, real-time operating system, data science and database, high-reliability software design, autonomous vehicle software design projects or industry-academic problem-solving projects. When you are a senior in college, the subjects such as computer vision, AI and autonomous driving, signals/systems and data communications, AI and robotics, mobility network and cooperative driving, autonomous vehicle software security, autonomous vehicle platform design pr industry-academic onsite project are waiting for you.
After fulfilling the requirements for our program, a bachelor's degree in engineering for autonomous vehicle is accredited. The students graduating from this department will be fully qualified to take advantage of job opportunities in autonomous vehicle / mobility / robot / drone / UAM / automobile-related industries, civil and governmental agencies, and private and governmental research institutes. Master's and doctoral programs are also offered for those who are interested in furthering their education with more professional experience and guidance.