2020 Faculty Courses School of Engineering Department of Information and Communications Engineering Graduate major in Information and Communications Engineering
Communications and Computer Engineering I
- Academic unit or major
- Graduate major in Information and Communications Engineering
- Instructor(s)
- Isao Yamada / Wakaha Ogata / Kazuhiko Fukawa / Masahiro Yamaguchi / Tomohiko Uyematsu / Minoru Nakayama / Katsunori Yamaoka / Kenta Kasai / Takahiro Shinozaki / Daniel Berrar / Ryutaroh Matsumoto
- Class Format
- Lecture (Zoom)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 7-8 Mon / 7-8 Thu
- Class
- -
- Course Code
- ICT.A402
- Number of credits
- 200
- Course offered
- 2020
- Offered quarter
- 1Q
- 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 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.
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 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.
Keywords
Communications and Signal Processing
Competencies
- 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/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Mathematical Preliminaries 1 - Review of Real and Complex Analysis |
Explain about basic ideas in Multivariable Differential Calculus, Complex Analysis. |
| Class 2 | Mathematical Preliminaries 2 - Review of Linear Algebra |
Explain about vector space, matrix, linear operator and eigenvalue problem |
| Class 3 | Information Theory1 |
Explain about Entropy, Huffman coding |
| Class 4 | Information Theory 2 |
Explain about Mutual information, Channel capacity |
| Class 5 | Coding Theory |
Explain about Linear block code, Convolutional code |
| Class 6 | Information Security and Cryptography 1 |
Explain about Common key cryptosystem and public key cryptosystem. |
| Class 7 | Information Security and Cryptography 2 |
Explain about RSA cryptosystem and digital signature. |
| Class 8 | Communication Systems 1 |
Explain about signal analysis, modulation methods, and Digital communications |
| Class 9 | Communication Systems 2 |
Explain about multi-carrier transmission scheme (OFDM), direct sequence spread spectrum communication system, frequency hopping, wireless communication system |
| Class 10 | Network |
Explain about Structure of communication systems, hierarchical model, Switching technology, Transport protocol and MAC protocol. |
| Class 11 | Data sciences and machine learning |
Explain about basic ideas in data sciences and machine learning |
| Class 12 | Signal Processing 1(Fourier Analysis, Least Squares Estimation) |
Explain about Fourier analysis, Least squares estimation |
| Class 13 | Signal Processing 2 (Speech Processing) |
Explain about speech analysis and statistical modeling for speech recognition and synthesis |
| Class 14 | Signal Processing 3 (Image Processing) |
Explain about expression of digital image |
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 if necessary.
Evaluation methods and criteria
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
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).
isao[at]sp.ce.titech.ac.jp
Office hours
contact by e-mail in advance to schedule an appointment.