Course List

Credits required for program completion
Students must earn at least 40 course credits. These must include 2 credits from required courses and at least 20 credits from required elective courses offered in the Humanware Core Subjects and Humanware Internships sections of the curriculum, and at least 12 from the Humanware Basic Subjects section. At least two Humanware Basic Subjects must be taken in Graduate Schools other than that in which the student is enrolled.

Humanware Core Subjects

Subject name Credits Notes
Required Required

Elective

Free

Elective

Humanware Innovation Creation
Humanware Seminar A Students must earn 18 credits by taking either “A” or “B” of each subject type
Humanware Seminar B
Humanware Basic Studies A
Humanware Basic Studies B
Humanware Interdisciplinary Studies A
Humanware Interdisciplinary Studies B
Humanware Interdisciplinary Project Studies A
Humanware Interdisciplinary Project Studies B
Humanware PI Interdisciplinary Project Studies A Students may take either “A” or “B” of each subject type
Humanware PI Interdisciplinary Project Studies B
Innovation Practice Seminar A
Innovation Practice Seminar B
Note: As a rule, “A” subjects should be taken by April enrollees and “B” by October enrollees.

Humanware Internships

Subject name Credits Notes
Required Required

Elective

Free

Elective

Internship (Long Term) A Students must earn at least 2 credits by taking either subject type “A” or “B”
Internship (Long Term) B
Internship (Short Term) A
Internship (Short Term) B
Overseas Internship (Long Term) A
Overseas Internship (Long Term) B
Overseas Internship (Short Term) A
Overseas Internship (Short Term) B
Note: As a rule, “A” subjects should be taken by April enrollees and “B” by October enrollees.

Humanware Basic Subjects

Subject name Notes
Offered in the Program Students must take at least two subjects offered in other than that in which they are enrolled.
Offered in the Graduate School of Engineering Science
Offered in the Graduate School of Information Science and Technology
Offered in the Graduate School of Frontier Biosciences

[Offered in the Program]

Subject name Credits
Required Free

Elective

Humanware Fundamentals I
Humanware Fundamentals II

[Offered in the Graduate School of Engineering Science]

Subject name Credits
Required Free

Elective

Introduction to Engineering Science
Turbulence Dynamics
Topics in Nonlinear Dynamics
Viscous Fluid Mechanics
Advanced Experimental Mechanics
Continuum Mechanics
Ultrasonic Techniques
Molecular Fluid Dynamics
Advanced Fluids Engineering
Topics on Robotics
Stability Analysis of Dynamical Systems
Advanced Theoretical Solid Mechanics
Advanced Computational Mechanics
Advanced Quantum Molecular Science
Biomechanics
Computational Biomechanics
Theory of Optimum Design and Synthesis
Introduction to Applied Biosciences
Scientific Measurements
Bio-imaging
Advanced Biosimulation
Subject name Credits
Required Free

Elective

Intelligent Robotics
Applied Robotics
Imaging Systems
Advanced Human Interfaces
Communication Robot
Advanced Robot Systems
Database Systems
Quantum Information Science
Advanced Optoelectronics
Lightwave and Microwave Engineering
Quantum Electronics
Nanoelectronics
Quantum Theory of Solid-State Electron Systems
Multivariate Analysis
Statistical Analysis
Nonlinear System Theory
Systems Optimization and Analysis
Intelligent Mathematical Programming System
Topics in Mathematical Sciences Ⅰ
Topics in Mathematical Sciences Ⅱ
Topics in Mathematical Statistics Ⅰ
Topics in Mathematical Statistics Ⅱ

[Offered in the Graduate School of Information Science and Technology]

Subject name Credits
Required Free

Elective

Fundamentals of Computer Science
Advanced Introduction to Information Networking
Introduction to Bioinformatic Engineering
Economics of Information Network
English Presentation Skills
Informartion Technology and Ethics
Studies on International Integrated Sciences I
Introduction to Exercises on Information Engineering for Interactive Creation A
Introduction to Integrated Biological and Information Engineering
Computational Informatics
Mathematical Programming
Advanced Numerical Analysis
Nonlinear Analysis
Applied Information Analysis
Advanced Statistical analysis
Information Physics I
Information Physics II
Intelligence and Learning
Robot Planning and Intelligence
Theory of Programming Languages
Parallel Programming
Theory of Parallel Algorithms
Theory of Software Development
Software Maintenance Engineering
Algorithm Design
Theory of Distributed System Software
Introduction to Intelligent System
Theory of Software Design
Computer Vision
System Level Design Methodology
Introduction to VLSI Design
Computer-Aided System-on-a-Chip Design
Integrated Systems Engineering
Subject name Credits
Required Free

Elective

Image Signal Processing
Concurrent Systems
System Interface Design
Design Methodology of Advanced Information Systems
Integrated System Architecture and Synthesis
Dependable Systems
Information Network Design
Multimedia Network
Information Network Architecture
Network Software
Information Sharing Platform
Mobile Computing
Mobile Communication Protocols
Gigabit Network
High-Speed Network Architecture
Information Sharing Network Design
Architecture for Multimedia Systems
Fundamentals of Information Media
Human Interface Engineering
Multimedia Agent
Multimedia Data Engineering
Database Systems
Information Security
Content Security
Enterprise Information Systems
Knowledge Management
Human Information Engineering
Human Information Processing
Basic Theory of Bio-networks
Bio-network Engineering
Metabolic Information Engineering
Bioprocess Engineering
Bio-database Engineering
Molecular Bio-information Analysis
Advanced Biosystems
Advanced Evolutional Systems

[Offered in the Graduate School of Frontier Biosciences]

Subject name Credits
Required Free

Elective

Introduction to Physics I
Introduction to Physics II
Introduction to Biology I
Introduction to Biology II
Introduction to Biology III
Subject name Credits
Required Free

Elective

Introduction to Medical Science I  /

Introduction to Medical Science II

(You must enroll both I & II)

2(1 each)
Introduction to Chemistry I   /

Introduction to Chemistry II

(You must enroll both I & II)

2(1 each)
Exercise in Computer Science