トップページへ

2020 Faculty Courses School of Engineering Department of Information and Communications Engineering Graduate major in Information and Communications Engineering

Communications and Computer Engineering II

Academic unit or major
Graduate major in Information and Communications Engineering
Instructor(s)
Atsushi Takahashi / Hiroki Nakahara / Shigetaka Takagi / Takamichi Nakamoto / Tsuyoshi Isshiki / Masato Motomura / Yuko Hara / Jaehoon Yu
Class Format
Lecture (Zoom)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
1-2 Mon (Zoom) / 1-2 Thu (Zoom)
Class
-
Course Code
ICT.A413
Number of credits
200
Course offered
2020
Offered quarter
3Q
Syllabus updated
Jul 10, 2025
Language
English

Syllabus

Course overview and goals

The modern information and communication systems have been developed based on the vast knowledge on information and communications engineering. In order to become a successful researcher in information and communications engineering field and/or senior executive of related industries, learning basic concepts of this field individually is not enough, but a viewpoint that enable us to understand VLSI and computer system field as a whole is required. The purpose of this course is to help students gain the viewpoints mentioned above by providing important ideas that are included as the basis of VLSI and computer system field, and understand their roles in information and communication system by summarizing their relations systematically.

Course description and aims

By the end of this course, students will be able to:
1) Understand the important ideas that are included as the basis of VLSI and computer system field
2) Understand the roles of information and communication system, and acquire a viewpoint from whole VLSI and computer system field.

Keywords

VLSI and computer system

Competencies

  • Specialist skills
  • Intercultural skills
  • Communication skills
  • Critical thinking skills
  • Practical and/or problem-solving skills

Class flow

One third of classes is devoted to fundamentals and the rest to advanced contents or applications.

Course schedule/Objectives

Course schedule Objectives
Class 1 Analog Integrated Circuits 1: Fundamentals Explain the overview of analog integrated circuits
Class 2 Analog Integrated Circuits 2: Synthesis Explain the overview of synthesis of analog integrated circuits
Class 3 Digital Integrated Circuits 1: Fundamentals Explain the overview of digital integrated circuits
Class 4 Digital Integrated Circuits 2: Synthesis Explain the overview of synthesis of digital integrated circuits
Class 5 Logic Functions and FPGA 1: Fundamentals Explain the overview of logic functions and FPGA
Class 6 Logic Functions and FPGA 2: Synthesis Explain the overview of synthesis of logic functions and FPGA
Class 7 Computer System 1: Deep Neural Network Explain the overview of computer system such as deep neural network
Class 8 Computer System 2 : Machine Learning and Architecture Explain the overview of computer systems for machine learning
Class 9 Microprocessor 1 : Instruction-Set Architecture Explain the overview of microprocessor
Class 10 Microprocessor 2 : Processor Micro-architecture Explain the overview of processor micro-architecture of microprocessor
Class 11 Embedded Systems 1: Fundamentals and RTOS Explain the overview of embedded systems
Class 12 Embedded Systems 2: Embedded Hardware Synthesis Explain the overview of synthesis of embedded systems
Class 13 Digital Integrated Circuit Design using HDL Explain the overview of digital integrated circuit design using HDL
Class 14 Computer System 3 Sensing System Explain the overview of computer system such as sensing system

Study advice (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.

Textbook(s)

None

Reference books, course materials, etc.

Handouts will be distributed at the beginning of class when necessary

Evaluation methods and criteria

Learning achievement is evaluated by the quality of the written reports, exercise problems, and etc.

Related courses

  • ICT.A402 : Communications and Computer Engineering I

Prerequisites

No prerequisites