Graduate School of Information, Production and SystemsWaseda University

About the School

Feature & Curriculum

The three fields of IPS

3fields_eng

The Graduate School of Information, Production and Systems comprises three fields of study: Information Architecture, Production Systems, and Integrated Systems.
Your postgraduate work will give you an integral view of these three fields, enabling you to acquire the most advanced professional knowledge as a foundation for applying information and system LSI technologies to a broad range of production systems and their management.

A fusion of management and technology

We offer lectures that introduce state-of-the-art knowledge from a technology-management perspective of interest to the general public students.
It is possible to choose from among various patterns for the taking and completion of classes. Here, the aim is a general one: to assist the student in becoming a technologically well-informed specialist.

How IPS is organized

IPS is cross-disciplinary, giving you broad and interconnected coverage of both software and hardware across various areas of investigation.

Designing the future with a variety of  information technologies

  • Information and communication model
  • Computational intelligence
  • Language and media information
  • Social and management informatics
  • Robotics & mechatronics
  • Fiber-optic systems

Putting IT to work in next-generation production systems

  • Machine Design and Mechatronics
  • Sensor, MEMS and Advanced materials
  • Intelligent and Process Control system
  • Energy and Environment development
  • Process monitoring and Equipment management
  • Management and Production information system

Revolution by cutting-edge LSI Technologies

  • Multimedia and Image Information
  • Mobile Communication
  • Analog and High-frequency Circuits
  • Ultra Large-scale IC, High-speed and Low-power LSI
  • LSI Design Automation
  • LSI Verification and Test

Curriculum and projected subject

An outward-looking graduate school providing solid support for career advancement

method 2016_eng

A distinctive curriculum

The master’s degree program offers three options: (a) a research-oriented course dealing mainly with advanced research; (b) a standard course; and (c) a lecture-oriented course designed primarily to impart new specialized knowledge. Students can choose any one of the three courses once they have fulfilled a certain credit requirement defined in each course as explained below. Additional courses can be taken even when the credit requirements have been fulfilled.

  • Course a
    Research-oriented. Students obtain 18 required credits over a six-month period and, if accepted into a laboratory through an interview with faculty, spend one and a half years primarily engaging in research for their master’s thesis.
  • Course b
    Standard type. The first year is mainly dedicated to lectures and practical training. Students obtain 22 required credits and, if accepted into a laboratory through an interview with faculty, spend one year primarily engaging in research for their master’s thesis.
  • Course c
    Lecture-oriented. Students concentrate on lectures and practical training for the first one and a half years to obtain 26 required credits. If accepted into a laboratory through an interview with faculty, they carry out an assigned research task over the remaining six months.

Registration & Credit

Course a
Term Year 1st Year 2nd
Subject Spring Fall Spring Fall
Lectures and Laboratory works Fundamental subject (*4 or less) 18
Laboratory works 2
Advanced subject
Specialized subject (Required) 2
Exercised (Required) 8
Master’s thesis (Required, No credit) Master’s thesis
Course b
Term Year 1st Year 2nd
Subject Spring Fall Spring Fall
Lectures and Laboratory works Fundamental subject (*6 or less) 22 *
Laboratory works 2
Advanced subject
Specialized subject (Required) 2
Exercised (Required) 4
Master’s thesis (Required, No credit) Master’s thesis
Course c
Term Year 1st Year 2nd
Subject Spring Fall Spring Fall
Lectures and Laboratory works Fundamental subject (*6 or less) 26 *
Laboratory works
Advanced subject
Specialized subject (Required) 2
Exercised (Required) 2
Master’s thesis (Required, No credit) Master’s thesis
  1. The number of required credits in fundamental subjects, advanced subjects and laboratory works are combined and counted as the total required credits. Extra credits in the fundamental subjects beyond then minimum required number (as indicated in parentheses in the above table will not be included in the number of the required credits)
  2. Spring Semester, the spring semester for students entering in April and the fall semester for students entering in September Fall Semester, the fall semester for students entering in April and the spring semester for students entering in September.

Fundamental subjects

2 credit course in Spring semester
Introduction of Interface
Systems Engineering
Power Electronics
Optical Engineering
Data Structures and Algorithms
Analog CMOS Circuits
Information Networks
Kinematics of Machinery
Operations Research
Control Engineering
Introduction to Engineering Experimentation
Software Engineering Basic Course
Spectrum Analysis
2 credit course in Fall semester
Antenna/Radio Propagation
Introduction to System LSI
Computer Architecture
Quantum Electrodynamics
Computational Intelligence ★
Robotics
Energy Engineering
Optical fiber engineering
Introduction to formal languages and automata theory
Digital Circuits
Digital Signal Processing
Surface Science
Information system Design
Programming Basics
Simulation Techniques
Semiconductor Device Technology
Advanced Engineering Experimentation
Technical Presentation

★The subject of Joint Graduate School in Car Electronics Course / Intelligent Car & Robotics

Advanced subjects

2 credit courses during the spring semester
Information Architecture Production Systems Integrated Systems
Natural language processing (NLP)
Human-Robot Interaction ★
Machine translation technology
Scheduling Algorithms
Database
Manufacturing Management Special Exercise
Optical transmission technologies
Introduction of Intelligent Systems ★
Human Interface
Image Processing ★
Neural Networks ★
Mathematical Modeling Special Exercise
Automobile Engineering ★
Bioelectronics
Microstructure in Materials
Semiconductor Interconnection Materials and Technologies
Automobile and Plant Control Modeling ★
Wave Optics
Linear Systems Theory ★
Dynamics of Machinery
Reliability Engineering ★
Dielectric Insulator Materials
Engineering Experimentation Special Exercise
Microprocessor
Semiconductor Memory Design
Transmission Circuits
System LSI Architecture
Energy-Efficient LSI Systems
Digital LSI Architecture ★
Wireless Communication Systems
Optical Semiconductor Devices
Signal Processing Special Exercise
System LSI Software
Electromagnetic Analysis Special Exercise
2 credit courses during the fall semester
Information Architecture Production Systems Integrated Systems
Bioengineering
Programming Languages and Methodology
Bioinformatics
Business Process Modeling
Information Organization
Distributed System
Theory on Object Oriented Design
Scheduling Special Exercise
Fiber optic measurement technology
Pattern Recognition ★
Information Security Engineering
Theory of Constraint Processing
Web Information Processing II
Integrative System for Intelligent Car ★
Biomicromachine
Information Management
Process Technology for Power Devices and Reliability
Design of Machine Elements
Applied Optics
Supply Chain Management
Power Semiconductor Devices ★
Optimal Control Theory
Functional Materials Special Exercise
Process Control
Dielectric Insulator Materials Special Exercise
Machine Diagnosis Techniques
High-speed, High-frequency LSI Design
Emerging Memories
System LSI Design
Video Signal Processing
Low Power LSI Design
Mixed-signal Circuit
Design for Testability
Dependable LSI Systems
Network Interface
LSI Design Automation Technologies
Opto-electronic Integrated Circuits
Communication System Special Exercise

★The subject of Joint Graduate School in Car Electronics Course / Intelligent Car & Robotics Courses

Laboratory works

2  credit during the fall semester
Information Architecture
Production Systems
Laboratory Works on Information Architecture Laboratory Works on Production Systems

Specialized subjects

2 credit course in fall semester
Information Architecture Production Systems Integrated Systems
Community Computing
Data engineering
Robotics and mechatronics
Production Management Information System
Network Community
Computational Neuroscience
Multimedia Engineering
Example-based machine translation/NLP
Interactive Programming
Advanced fiber optic technologies
Control and Information
Current Bioelectronics
Advanced Biomedical Optics
Power Semiconductor Devices
Mechanical System Design
Advanced Materials
Machine Diagnosis
Advanced Production Systems
Information and Production Process
Systems Control
Image Information Systems
Dependable Information Systems
Optimization Technologies
ASIC Design Automation
Wireless Communication Circuits Technologies
High-Level Verification Technologies
Opt-electronic Integrated Systems
Emerging Memory System
Mobile Systems

Exercises

A (2 credit course in fall semester), B (4 credit course in spring semester),
C (2 credit course in spring semester), D(2 credit course in fall semester)
Information Architecture Production Systems Integrated Systems
Production Management Information System A,B,C,D
Neurocomputing Systems A,B,C,D
Database System A,B,C,D
Image Media A,B,C,D
Thinking Networks A,B,C,D
Example-based machine translation/NLP A,B,C,D
Robotics and mechatronics A,B,C,D
Interactive Programming A,B,C,D
Fiber-optic systems A,B,C,D
Community Computing A,B,C,D
Power Semiconductor Devices A,B,C,D
Machine Diagnosis Techniques A,B,C,D
System Control A,B,C,D
Bioelectronics A,B,C,D
Manufacturing Information Systems A,B,C,D
Process Control A,B,C,D
Biomedical Optics A,B,C,D
Mechanical System Design A,B,C,D
Production Process A,B,C,D
Advanced Materials A,B,C,D
Mobile Systems A,B,C,D
Image Information Systems A,B,C,D
High-Level Verification Technologies A,B,C,D
Dependable Information Systems A,B,C,D
Opto-electronic Integrated Systems A,B,C,D
ASIC Design Automation A,B,C,D
Wireless Communication Circuits Technologies A,B,C,D
Optimization Technologies A,B,C,D
Emerging Memory System A,B,C,D

Syllabus

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