Training USTians with pride by promotinga creative educational environment

Secure world-leading educational competitiveness

Discovering creative talent and to become real USTians
Establishment of UST21 education system

Become a university with industry-academia-research integration

Strengthening the cooperation between UST-GFRIs-corporations
Strengthen the cooperation between GFRIs
Support business start-ups with GFRI-based technologies

Establish global status as a national research university

Improving brand value
Improving cooperation network

Establish creative knowledge management system

Providing creative educational environment by applying cutting-edge technology
Improving management effectiveness


Nano-Information convergence major includes both of Nanomaterials Science/Engineering program and HCI & Robotics program, and aims at providing students with higher education and chances to obtain practical experience by participating in many projects in Nano and information technology fields. Topics covered in nanomaterials research include energy materials, environmental materials, biomaterials, biosensors, nonlinear optical devices, nonlinear nanomaterials, optical signals, surface engineering, polymer synthesis and polymer composites, multifunctional oxide epitaxial thin films and interface, piezoelectric MEMS, Thermoelectric materials and devices, semiconductors, condensed-matter physics, photonics, quantum information communication, quantum cryptography, quantum computer. The topics covered in HCI and robotics research are service robots, field robots, surgical robots, healthcare robots, robot task and motion planning, human-robot interaction, social robotics, brain-computer interface, haptic interface, digital holography, tangible media, web information space, human-computer interaction, computer vision, computer graphics, augmented reality, virtual reality, artificial intelligence, machine learning.

세부 전공명, 전공내용으로 구분하여 안내합니다.
세부 전공명 전공내용
Nanomaterials Science & Engineering NSE aims at providing prospective professional researchers with higher education that can help them to develop a specialized background and the R&D competence required to solve significant problems in engineering applications and to successfully explore diverse solutions based on understanding of nonlinear, unusual, or new properties of materials with respect to their nano-scale structures.
HCI & Robotics The students in this major are expected to acquire a fundamental knowledge in the major subjects of HCI and Robotics, such as immersive virtual reality, physics based simulation, media and internet technology, multimodal perception and interaction, robot perception and actuation, knowledge representation and reasoning, human-robot interaction, and mechanism design. Also, they are expected to gain practical experience to meet the challenge of future cutting-edge technology by participating in national projects in HCI & Robotics.

Course Name (Kor/Eng)

현대정보학특론 (Modern Information Technology)

Course Details

Course Details
캠퍼스, 학위과정, 학점, 이수구분, 강의형태, 강의방법, 주관교수로 구분하여 안내합니다.
Campus KIST School
Academic Curriculum Integrative program Credts 3
Completion Criteria Major Lecture Types Major
Lecture Methods Korean course Supervising Professors


강의목표, 교재 및 참고문헌, 수업운영방식, 과제물, 성적평가방식으로 구분하여 안내합니다.
Lecture Objectives 양자이론과 정보이론을 융합한 양자정보를 이해하고, 이를 양자통신, 양자컴퓨팅 연구에 활용할 수 있다. Understanding quantum information science and its application to research on quantum communication and quantum computation
Textbooks and References Quantum computation and quantum information, Nielsen and Chuang
How a Lecture is Conducted Lecture and discussion
Assignments 문제풀이
Grading and Score Evaluatios 과제물 20%, 중간고사 30%, 기말고사 50%

Weekkly Syllabus

Weekkly Syllabus
Weekkly, 계획으로 구분하여 안내합니다.
1 Week Introduction and overview
2 Week Introduction and overview
3 Week Introduction to computer science
4 Week Quantum mechanics and linear algebra
5 Week The postulates of quantum physics
6 Week The density operator
7 Week Quantum operation and quantum noise
8 Week Midterm exam
9 Week Distance measures for quantum information
10 Week Quantum communication
11 Week Entropy and information
12 Week Entropy and information
13 Week Theory of quantum error correction
14 Week Theory of quantum error correction
15 Week Fault-tolerant quantum computation
16 Week Final exam