2022 Communications and Computer Engineering I

Font size  SML

Register update notification mail Add to favorite lecture list
Academic unit or major
Graduate major in Information and Communications Engineering
Yamada Isao  Ogata Wakaha  Fukawa Kazuhiko  Yamaguchi Masahiro  Uyematsu Tomohiko  Nakayama Minoru  Yamaoka Katsunori  Slavakis Konstantinos  Kasai Kenta  Shinozaki Takahiro  Matsumoto Ryutaroh  Nishio Takayuki  Jitsumatsu Yutaka 
Class Format
Lecture    (Livestream)
Media-enhanced courses
Day/Period(Room No.)
Mon1-2()  Thr1-2()  
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
Access Index

Course description and aims

The modern Information and Communication Systems have been developed based on the vast knowledge on Information and Communication engineering.
In order to become a successful researcher in Information and Communication Engineering area and/or senior executive of related industries, learning basic concepts of this area individually is not enough, but a viewpoint that enables us to understand Communications and Signal Processing area 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 Communications and Signal Processing area, and understand their roles in Information and Communication Systems by summarizing their relations systematically.

Student learning outcomes

By the end of this course, students will be able to:
1) Understand the important ideas that are included as the basis of Communications and Signal Processing fields.
2) Understand the roles of information and communication system, and capture a viewpoint from whole Communications and Signal Processing fields.


Communications and Signal Processing

Competencies that will be developed

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

Class flow

After reviewing mathematical tools, the instructor presents a whole picture of Communications and Signal Processing fields.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Mathematical Preliminaries 1 - Review of Real and Complex Analysis Explain basic ideas in Multivariable Differential Calculus, Complex Analysis.
Class 2 Mathematical Preliminaries 2 - Review of Linear Algebra Explain vector space, matrix, linear operator and eigenvalue problem
Class 3 Information Theory1 Explain Entropy, Huffman coding
Class 4 Information Theory 2 Explain Mutual information, Channel capacity
Class 5 Coding Theory Explain Linear block codes
Class 6 Information Security and Cryptography 1 Explain Common key cryptosystem and public key cryptosystem.
Class 7 Information Security and Cryptography 2 Explain RSA cryptosystem and digital signature.
Class 8 Network Explain Structure of communication systems, hierarchical model, Switching technology, Transport protocol and MAC protocol.
Class 9 Communication Systems 1 Explain digital modulation methods, OFDM (Orthogonal Frequency-Division Multiplexing), and MIMO (Multiple-Input and Multiple-Output).
Class 10 Communication Systems 2 Explain wireless communications and their network architectures.
Class 11 Signal Processing 1 - Fourier Analysis, Least Squares Estimation Explain Fourier analysis, Least squares estimation
Class 12 Signal Processing 2 (Radar Signal Processing) Explain the main modulation and signal detection methods of radar.
Class 13 Signal Processing 3 (Speech Processing) Explain speech analysis and statistical modeling for speech recognition and synthesis
Class 14 Signal Processing 4 (Image Processing) Explain expression of digital image

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.



Reference books, course materials, etc.

Handouts will be distributed at the beginning of class if necessary.

Assessment criteria and methods

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

Related courses

  • ICT.A413 : Communications and Computer Engineering II

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

For manageable number of students from the view point of the teaching effectiveness of this series of lectures, we accept registrations only from students in the Department of Information and Communications Engineering, the Human Centered Science and Biomedical Engineering Course, and the Engineering Sciences and Design Course. We assume that the registered students have already any experience in learning related topics in their undergraduate programs.

Contact information (e-mail and phone)    Notice : Please replace from "[at]" to "@"(half-width character).


Office hours

contact by e-mail in advance to schedule an appointment.

Page Top