Course title
P26809002
Recent Trends on Electronic Systems

mano kazunori Click to show questionnaire result at 2019

kubota aya

tanaka naohiko

chen xinkai
and more...

yoshida kenji

watanabe eiji

ioka eri

nicodimus retdian
Course description
This class presents recent research topics in the fields of electronic systems. The research fields include electronic devices, circuits, LSI, AI and related hardware, signal processing, control theory, nonlinear phenomenon, speech and language processing and machine learning, and astrophysics.


Professors in Department of Electronic Information Systems will serve the classes about recent trends in their research fields. Classes of each professor basically consist of a lecture and an exercise (two weeks). Follow the professors’ instruction about their assignments, reports, and discussions.
Purpose of class
This class is an English course to study the recent topics in the field of electronic systems and related physics.
Goals and objectives
  1. Understand recent research topics in the field of electronic systems.
  2. Acquire fundamental knowledge to understand recent research topics in the field of electronic systems.
  3. Write appropriate reports according to professors' instruction.
Language
English
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Introduction to this class.

Spoken language is the most fundamental communication method. We learn the basic mechanism of speech production and hearing, and we discuss the recent progress of the speech and language information processing systems and services.
(Prof. Mano)
Read the syllabus. 60minutes
Review recent speech and language interfaces in the Internet. 120minutes
2. Reporting on speech and language information processing.
(Prof. Mano)
Prepare your reports or homework according to the professor's instruction. 190minutes
3. A few industrial applications (micro/nano manufacturing, micro/nano operation, vibration control, etc.) of the advanced control theory will be introduced.
(Prof. Chen)
Basic feedback knowledge is needed. 190minutes
4. Reporting on industrial applications of the advanced control theory.
(Prof. Chen)
Prepare your reports or homework according to the professor's instruction. 190minutes
5. Synchronization is an important nonlinear phenomenon. In this theme, some examples (synchronization is seen in the natural environment, in our body and in electric circuit) will be introduced, and students will learn its application for various fields.
(Assoc. Prof. Ioka)
Study the definition of synchronization. 190minutes
6. Reporting on synchronization of nonlinear phenomena.
(Assoc. Prof. Ioka)
Prepare your reports or homework according to the professor's instruction. 190minutes
7. Black holes are now understood as a fundamental element in our universe. I will show how we know the existence of black holes which cannot be directly observed. Recent results on black holes based on X-ray observations will also be introduced.
(Prof. Kubota)
Review mechanics, especially the field of gravity like Newton’s law of gravitation. 190minutes
8. High energy astrophysics is reviewed based on X-ray, gamma-ray, and cosmic-ray observations. Students will acquire a basic understanding of the universe more than stars and empty space.
(Prof. Yoshida)
Review basic physics, especially the field of modern physics. 190minutes
9. This class will explain the recent trends in LSI, artificial intelligence and related hardware. Students will be able to understand: the development in LSI technologies, the basic concept of artificial intelligence, and the development of AI chips.
(Prof. Nicodimus Retdian)
Study the electronic circuits, systems, and IoT. 190minutes
10. Reporting on LSI, artificial intelligence and related hardware.
(Prof. Nicodimus Retdian)
Prepare your reports or homework according to the professor's instruction. 190minutes
11. Title: Introductory Signal Processing
The main theme of this title is to understand what signal processing is. To this end, fundamentals of signals and their processing systems are given, and some examples of simple signal processing systems are introduced.
(Prof. Watanabe)
Survey the difference between analog and digital signal processing. 190minutes
12. In this class, students do simple exercses on the Fourier transforms and their applications of linear signal processing systems.
(Prof. Watanabe)
Prepare your reports or homework according to the professor's instruction. 190minutes
13. Topics on signal processing and machine learning (1)
Exercise and report on signal processing and machine learning(1)
(Prof. Mano)
Exercise and report on signal processing and machine learning(1) 190minutes
14. Topics on signal processing and machine learning (2)
Exercise and report on signal processing and machine learning(2).
(Prof. Mano)
Exercise and report on signal processing and machine learning(2). 190minutes
Total. - - 2650minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

Discussions Reports Total.
1. 30% 10% 40%
2. 20% 20% 40%
3. 20% 20%
Total. 50% 50% -
Evaluation method and criteria
Assignment report, participation and discussion.
Textbooks and reference materials
None
Prerequisites
Basic knowledge of electrical and electronic engineering, and physics.
Office hours and How to contact professors for questions
  • Tuesday 13:10-14:50 (Prof. Mano)
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic problem-solving skills
Active-learning course
More than one class is interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A N/A
Education related SDGs:the Sustainable Development Goals
  • 4.QUALITY EDUCATION
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Wed Apr 07 04:05:46 JST 2021