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The School of Electrical Engineering and Computer Science (EECS) aims to lead in the research of innovative technologies in ICT-based convergence fields
to prepare for the era of future creation and to foster creative global talents. To achieve this goal, the school is leading research in various areas, including artificial intelligence and data science, signal processing and networks, computer and software engineering, energy systems and sensors, circuits and systems, semiconductor devices, and photonics and nanotechnology. These technologies are expected to lead the global market in the future, with significant added value and socio-economic effects, driving new industries.
The school focuses on education and research in the fields of electronics,
including information, communication, semiconductors, and optics, and computer science, including computation and algorithms, to meet the demands of the era, such as artificial intelligence (AI), large language model (LLM), and AI semiconductors. Accordingly, it aims to produce creative cooperative research through graduate students with diverse degrees (electrical, electronics, computer, information, communication, control measurement, mechanical, physics, chemistry, mathematics, statistics, industrial engineering) to promote the research and development of future core technologies and their practical diffusion. It also aims to produce scientific and technological leaders in academia and industry, leading the future of the country.
To achieve this, group research is conducted with 3 to 7 professors in each research area
to improve the efficiency and competitiveness of research. Furthermore, the school actively responds to emerging interdisciplinary fields through fusion research with related academic fields. In the EECS major, students are educated to deeply and widely understand the extensive scientific knowledge accumulated by humanity, develop thorough analytical and creative design skills through various major courses, and cultivate the ability to creatively solve problems by integrating various knowledge and experiences acquired in related fields such as AI and semiconductors through individual and graduation research. The goal of education is to nurture students who can successfully pursue careers in graduate school, IT, AI, electronics, and communication industries, research institutes, and universities as professors.
Faculty
| Division | Faculty Status |
|---|---|
| Full-time Professor | 23 |
| Affiliated Professor | 12 |
| Total | 35 |
Staff
| Division | Staff Status |
|---|---|
| Education Support | 5 |
| Research Support | 4 |
| Total | 9 |
Students
| Division | Enrolled Students |
|---|---|
| B.S. | 402 |
| M.S. | 34 |
| Integrated M.S. / Ph.D. | 52 |
| Ph.D. | 51 |
| Total | 539 |
Total Graduates
| Division | Student Status |
|---|---|
| B.S. | 332 |
| M.S. | 1,192 |
| Ph.D. | 423 |
| Total | 1,947 |
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