국립순천대학교인간·로봇융합학과

학과소개

• 초고령화사회로의 진입과 평균수명 100세 시대라는 커다란 사회적 변화는 IT와 BT 및 HT의 융합을 통한 국가의 신성장동력산업에 대한 기대감을 높이면서, 4차 산업혁명의 핵심인 인공지능과 로봇공학이 바이오메디컬, 제조공학 등과 융합된 다학제적인 분야의 기본지식과 실무역량을 갖춘 전문인재 양성이 절실한 상황입니다. 따라서, 국가와 지역의 산업 성장을 주도하는 창의적인 인재를 육성하고자 하는 교수진들의 마음이 모여서 순천대학교 내에 『인간·로봇융합학과』가 개설되었습니다. 인공지능과 미래의료를 키워드로 하는 초학제적인 『인간·로봇융합학과』에서 학생들의 융복합 역량을 강화하고 글로벌 경쟁력을 갖춘 인재양성의 발판을 마련하고자 합니다.

교육목표

• 4차 산업혁명에 적합한 전문인력 양성을 위하여, ICT (Information and Communication Technologies) 중심의 공학에서부터 자연과학, 인문, 예술 분야의 전문성을 가진 인재를 양성하는 것을 목표로 하고 있다. 인공지능, 로봇, 빅데이터, 사물인터넷(IoT) 등 최첨단 ICT 활용능력, 자연과 인간에 대한 이해를 기반으로 하는 인문학적 소양을 갖추고, 현실세계의 문제를 창의적 실용적으로 해결할 수 있는 인재를 배출하고자 합니다.

핵심역량

• 문제 발굴과 해결 역량
• 상호보완적 관계 역량
• 사회적 가치 창출 역량

학과 홍보 영상

Department of Human Harmonized Robotics
(A graduate program at Sunchon National University, South Korea)

Introduction

• The Department of Human-Harmonized Robotics offers a program leading to the Master of Science (MS) degree in Engineering.
  
  Our vision is to create a world that humans and robots lives in a harmonized and convivial way, so that individuals can transform themselves and the world in an integrative and holistic approach. For this, individuals need to enhance their competences aiming at an innovative way of living, working, playing, empathizing and co-existing with others.
  
  The primary goal of the department is to provide educational experience for students to become talented professionals toward the 4th industrial revolution in the 21st century. Our program is designed to offer advanced knowledge and workforce skills in individual and collaborative problem-solving with a moderate degree of both breadth and specialization of the phenomena of study.

Core course work

• Our program offers a trans-disciplinary approach encompassing humanities, science, technology, social science, arts, and medical science and technology. 24 credit hours are required as course work and at least 4 months for professional internships at research institutes in national and international contexts.
  
  The core courses include Cognitive Science and Intelligence, Machine learning and Deep Learning, Big Data and Learning Analytics, Advanced in Clinical Medicine Analysis, and Computer Music Programming Using AI. Selective courses are available.

Innovation in Teaching

• Personalized learning with “One student with more than two professors” In principle, two or three professors will be assigned to each student. The professors lead and guide multi-disciplinary research for students to develop their own interests and innovate the world.
  
  Independent work with Coaching and mentoring Students’ independent work is highly respected in this program. Professors act as coaches and mentors to support and scaffold their students enabling meaningful experiences and successful learning outcomes.
  
  Authentic project work with field experts Students will work with industries, developing and accomplishing authentic research-based projects, and obtaining practical outcomes that can impact industrial and social change.
  
  Blended learning courses Most courses are organized in combination with online and offline activities. Most course materials are provided in online formats. Discussion and collaborative development of tangible products are conducted in offline contexts.

Current Research Themes and Projects

• Development of Intelligent Mechanisms and Actuators for Robotics utilizing, for example Machining, CAD/CAM, and 3D Printing
• Early childhood education with robot scaffolding
• Development of platforms for integrating robotic technologies with industrial development and social enhancement
• Metabolomic study by profiling and pattern analyses of organic metabolites in biological fluids for monitoring of physiological states
• Development of an adaptive music system for mental health
• Human-machine interface: Direct Neuronal Reprogramming Mechanism using Nanomaterials and Electromagnetic Bio-stimulation

Contact

• Department Head
  Heeok Heo (Professor in Department of Computer Education), hoheo@scnu.ac.kr
  
  Administrative staff
  Boram Lee, boram3340@scnu.ac.kr
• Modified in June, 2020