CS / Computing Systems
Computing Systems aims to develop and operate various optimal computer systems with consideration of performance, cost, and reliability, from the device level to a large scale computing environment. It is a fundamental field that props up the computer-based IT industry. At the core of its importance lies in-depth knowledge in theory and practice of hardware and software in a large scope.
NS / Network Systems
Network Systems is an essential field in the modern computer industry in which information is disseminated by many connected computers. Not only that, its increasing role as an infrastructure that supports various fields including BT and NT is ever more important.
|서영주||AIoT Lab.( Artificial Intelligence of Things laboratory)||인공지능연구원 321호||054-279-5671|
HCI·NLP / Human-Computer Interaction · Natural Language Processing
HCI studies everything related to two-way communication between users and computers, based on the fact that it is human beings who use computers. It is one of the most exemplary interdisciplinary fields combining computer engineering-based technology with humanitarian studies, which has its basis in psychology, sociology, etc.
VC / Visual Computing
Visual Computing aims to recognize, search, analyze, process, and represent images and videos. It covers a wide variety of subfields including Computer Graphics and Computer Vision. Computer Graphics aims to develop algorithms and techniques that can help create images and videos, and Computer Vision aims to develop algorithms for analyzing images and videos.
DS / Data Science
Data Science aims to recognize, search, analyze, process, and represent data and deliver them effectively to users. Data science has critical importance in today’s IT world where a massive amount of data is generated from a wide variety of sources in many different ways.
ML / Machine Learning
Machine Learning aims to develop algorithms that improve automatically through experience. It is a rapidly growing field, which has numerous applications, due to the availability of large datasets and the growth of computing power. The department at POSTECH focuses on both theoretical and practical aspects of machine learning.
|Machine Learning (ML) Lab||RIST4동 4309호||054-279-5653|
|Computer Vision (CV) Lab||제2공학관 302호||054-279-2931|
|김원화||Medical Imaging Lab||RIST4동 4303호||054-279-2252|
|박은혁||Accelerated Computing Platform (ACP) Lab||인공지능연구원 421호||054-279-2912|
|유환조||Data Intelligence (DI) Lab||RIST4동 4307호||054-279-2941|
TC / Theory of Computing
Theory of Computation aims to understand the nature of computation and analyze fundamental computational problems arising in other fields in Computer Science using mathematical tools. It covers a wide variety of topics including algorithms, data structures, and computational complexity.