Subsidized Project by the Ministry of Education, Culture, Sports, Science and Technology

AIE - WISE Program for AI Electronics



The number of courses shown in the figure is the number of courses offered, not the number of courses required to complete the program.
Please refer to the next page for the number of courses required for completion.

  • Basic Course
    <T1 Year>
  • Advanced Course
    <T2 and T3 Year>
  • Professional Course
    <T4 and T5 Year>

The Basic Course enables students to improve their basic and applied academic skills by taking introductory PBL courses in addition to basic and management courses.

Introduction to AIE Software Development

Industry-academic collaborative education

Management Courses
Required to select 2 courses from 1 to 18
  • AIE Innovation Principle
    compulsory elective
    • 1Innovation Management Principle
    • 2Practical Technology Policy Principle
    • 3Venture Business Principle
    • 4Technology Adaptation Planning Principle
    • 5Information Technology Management Principle
    • 6Basics and Practice of Advanced Technology
    • 7IT Business Management Principle
  • AIE Project Design
    compulsory elective
    • 8Introduction to Technology Management
    • 9Project Management Principle
    • 10Practical Technology Management Principle
    • 11Medical Device Business Theory
  • AIE Communication Principle
    compulsory elective
    • 12Science and Technology Communication Principle
    • 13Safety Management Principle
    • 14Critical Thinking
  • AIE English Practice
    compulsory elective
    • 15Technical English Special Lecture
    • 16English Communication
    • 17English Presentation
    • 18Practical Data Science English
  • Outstanding Leader Seminar I and II

    We invite researchers and developers working at the forefront of corporate research and development to provide lectures on background, objectives, originality, and research and development methods, using specific products and systems as examples. This course aims to deepen students’ understanding of the actual research and development in companies and how it differs from research in universities.

  • PBL Introductory Coursecompulsory

Interdisciplinary education

AIE Interdisciplinary Foundation Courses
Required to select 2 courses
  • Basics of AIE Device I and II
    compulsory elective
    Basics of AIE Device I and II
    compulsory elective
  • Basics of AIE Physical Properties I and II
    compulsory elective
    Basics of AIE Physical Properties I and II
    compulsory elective
  • Basics of AIE Physics I and II
    compulsory elective
    Basics of AIE Physics I and II
    compulsory elective
  • Basics of AIE Medical Bio I and II
    compulsory elective
    Basics of AIE Medical Bio I and II
    compulsory elective
  • Basics of AI Information Science I and II
    compulsory elective
    Basics of AI Information Science I and II
    compulsory elective
  • Basics of AIE Mathematical Principle I and II
    compulsory elective
    Basics of AIE Mathematical Principle I and II
    compulsory elective
  • Basics of AIE Information Value I and II
    compulsory elective
    Basics of AIE Information Value I and II
    compulsory elective

The Advanced Course enables students to learn advanced specialized fields of study by taking practical research and development courses,
AIE interdisciplinary courses, and PBL foundation courses to develop overview skills.

PBL Foundation Courses

Industry-academic collaborative education

Practical Research and Development Courses
Required to select 2 courses from 1 to 58
  • AIE Spin Engineering
    compulsory elective
    • 1Spin Function Element
    • 2Magnetic Physics
    • 3Solid Statistical Basics
  • AIE Material Property Measurement
    compulsory elective
    • 4Solid State Property Engineering
    • 5Electronic Materials Process Engineering
    • 6Solid State Spectroscopic Basics
  • AIE Semiconductor Process
    compulsory elective
    • 7Semiconductor Engineering
    • 8Fine Process Science
    • 9Plasma Basic Engineering
    • 10Plasma Application Engineering
    • 11Image Sensing Engineering
    • 12Physical Properties of Electronic Materials A
    • 13Optical Properties of Semiconductor B
    • 14Special Theory of Diffraction and Spectroscopy
  • AIE Energy System
    compulsory elective
    • 15Energy Conversion and Control Equipment Engineering
    • 16Power Electronics Application Engineering
    • 17System Control Engineering
    • 18Electrical Energy System Engineering
    • 19Ubiquitous Energy Engineering
  • AIE Bio-Sensing
    compulsory elective
    • 20Bio-Sensing Engineering
    • 21Biophysical Engineering
    • 22Biosystems Engineering
    • 23Biomodelling Principle
    • 24Medical Engineering Basics
    • 25Medical Engineering Overview
    • 26Biomedical Information Analysis
    • 27Life Information Systems Science
    • 28Medical Device Development Principle
    • 29Biomedical Engineering for Measurement and Control
    • 30Applied Mathematics Omnibus
    • 31Special Theory of Biological Materiality
  • AIE Information Communication and Security
    compulsory elective
    • 32Internet Security
    • 33Secure Information Communication System Principle
    • 34Communication System
    • 35Information Network Principle
    • 36High-Reliability System
    • 37Cryptography
    • 38Information and Communication Technology Principle
    • 39Internet Engineering
    • 40Hardware Basics
    • 41Intelligent Integration Systems
  • AIE Probability and Statistical Processing
    compulsory elective
    • 42Stochastic Model Principle
    • 43Complex Statistical Science
    • 44Outline of Pension Mathematics
    • 45Special Theory of Intermediate Econometrics I and II
    • 46Special Theory of Marketing Research
    • 47Special Theory of Advanced Econometrics
    • 48Research Exercise for Mathematical Behavioral Science III and IV
    • 49Special Theory of Experimental Psychology IV
  • AIE Big Data Processing
    compulsory elective
    • 50Data Science Fundamentals
    • 51Big Data Skill Enhancement Exercises
    • 52Data Science Training Camp I and II
    • 53Natural Language Processing Principle
    • 54Information Technology Fundamental
    • 55Intelligent System Science
    • 56Medical Information Measurement Principle
    • 57Information Measurement Principle
    • 58Research Exercise for Computational Humanities and Sociology I and II
  • PBL Foundation Courses
    compulsory elective
    • PBL for Spintronics Devices
    • PBL for High-Performance Hard Disk Development
    • PBL for Device Design Using Artificial Intelligence
    • PBL for Factory Automation
    • PBL for Next-generation Vehicle Technology
    • PBL for Medical Systems
    • PBL for High-Performance AI Model Development
    • PBL for Mathematical Modeling
    • PBL for Big Data Analysis
    • PBL for AI Security
    • PBL for IoT Sensor Development in the Age of AIE
    • PBL for Automotive Electronics with KPIT
  • Special Lecture on AIE Research and Development Practices
    compulsory elective

Interdisciplinary education

AIE Interdisciplinary Development Courses
Required to select 1 courses from 1 to 22
  • Special Theory of AIE Devices
    compulsory elective
    • 1Special Theory of Advanced Spin Engineering
    • 2Special Theory of Energy Device Engineering
    • 3Special Theory of Electronic Device Engineering
  • Special Theory of AIE Physical Properties
    compulsory elective
    • 4Special Theory of Extreme Surface Control Engineering
    • 5Special Theory of Physical Properties of Low-temperature Electronic Materials
    • 6Special Theory of Electronic and Spectroscopic Measurement
    • 7Special Theory of Applied Physical Engineering
    • 8Special Theory of Applied Physical Materials Science
  • Special Theory of AIE Physics
    compulsory elective
    • 9Special Theory of Wave Engineering
    • 10Special Lecture on Electronic Physics
    • 11Special Lecture on Particle Physics V to VII
    • 12Special Lecture on Nuclear Physics VIII to X
  • Special Theory of AIE Medical Biotechnology
    compulsory elective
    • 13Special Theory of Medical Engineering for Measurement and Diagnosis
    • 14Special Theory of Medical Engineering for Treatment
    • 15Special Theory of Biological Information Systems
    • 16Special Theory of Medical Engineering for Medical Equipment Creation
    • 17Research Exercise for Experimental Psychology III
  • Special Theory of AIE Information Science
    compulsory elective
    • 18Applied Data Science
  • Special AIE Mathematical Theory
    compulsory elective
    • 19Special Lecture on Algebra
    • 20Special Lecture on Geometry
    • 21Special Lecture on Analysis
  • Special Theory of AIE Information Values
    compulsory elective
    • 22Research Exercise for Experimental Psychology II

The Professional Course enables students to learn practical skills with an awareness of industry-academic and social collaboration through the Internship Courses and the AIE Interdisciplinary Global Courses.

Internship Courses

Industry-academic collaborative education

Internship Courses
  • AIE Internship
    • Corporate Internship
    • Joint Research Internship

Interdisciplinary education

AIE Interdisciplinary Global Courses
Required to select 1 courses from 1 to 6
  • AIE Spintronics Application
    compulsory elective
    • 1Spintronics International Special Lecture I
  • AIE Data Science Advanced Seminar
    compulsory elective
    • 2Computer Science Fundamentals
    • 3Information Technology Fundamental
  • AIE Big Data Analysis Application
    compulsory elective
    • 4Big Data Challenge
    • 5Advanced Experiment on Physics for the Universe
  • AIE Representation, Empathy, and Capital Practice Course
    compulsory elective
    • 6Special Theory of Japanese Literature Formation II

Page Top