2023 AI & network communication systems

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Academic unit or major
Graduate major in Electrical and Electronic Engineering
Wakabayashi Hitoshi  Sawai Ryo  Mitsufuji Yuki 
Class Format
Lecture    (Face-to-face)
Media-enhanced courses
Day/Period(Room No.)
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
Access Index

Course description and aims

AI & network communication systems are expected to be applied in various fields as core technologies for realizing the evolution of various industries and the creation of new business. In this course, leading researchers from companies are invited as lecturers to learn about AI & network communication technologies that are being used at the forefront of actual business from the basics to their applications.

Student learning outcomes

Through this course, students will gain a basic understanding of cutting-edge system design technology (especially AI & network communication systems) that will be needed in society in the future, as well as a deeper understanding of each application case, as well as a better understanding of the mindset and workplace atmosphere required to work as a researcher and engineer in a company.

Course taught by instructors with work experience

Applicable How instructors' work experience benefits the course
In this lecture, teachers in charge of education who have practical experience in the field of network communication and AI technology use practical experiences to teach its basic and applications.


AI, machine learning, generative models, time series modeling, music generation, IoT, 5G, Beyond 5G (6G), Wireless LAN, LPWA

Competencies that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills
Expertise, development skills (practical or solution skills)

Class flow

Lecture in-person

Course schedule/Required learning

  Course schedule Required learning
Class 1 Introduction: Overview of AI and Network Communication Systems Getting familiar with the recent trends in the field of AI and network communication systems
Class 2 Network-1: Fundamentals on network communication technology Revisits on the basis for better understandings on advanced network communication technology trends
Class 3 Netowrk-2: System architecture design for network communication Deeping basic knowledges for commercial system deployments i.e. 5G and Wi-Fi from network system architecture perspectives
Class 4 Network-3: Advanced network communication technology/application/service integration Touching upon future radio/network access technologies involving AI applications and other advanced technologies
Class 5 AI-1: Fundamentals on Deep Generative Models Understanding the basics of generative modeling and its deep-learning-based variants
Class 6 AI-2: Applications to Audio Restoration Understanding the recent advancement of AI-based audio restoration and how the technology is used in commercial applications
Class 7 AI-3: Applications to Music Generation Understanding the recent advancement of AI-based music generation and the ethical issues of generated contents

Out-of-Class Study Time (Preparation and Review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.


Distribute at the beginning of each round (also upload material to T2SCHOLA)

Reference books, course materials, etc.

Jakub M. Tomczak, “Deep Generative Modeling”, Springer
Andreas F. Molisch, “Wireless Communications”, WILEY

Assessment criteria and methods

No tests are conducted, and subject reports are submitted

Related courses

  • ICT.H503 : Speech Information Technology
  • ICT.H416 : Statistical Theories for Brain and Parallel Computing
  • ICT.A402 : Communications and Computer Engineering I
  • ICT.S407 : Wireless Signal Processing

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Nothing special. Students interested in industrial communications and AI technologies


We welcome not only those who are concerned about communication technology and AI technology, but also those who want to hear about R&D in companies, and those who want to get information that will help them think about their future careers. * DE is a title given to technical experts, to which only 40 people are appointed across Sony.

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