2021 Communications and Computer Engineering I

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Academic unit or major
Graduate major in Information and Communications Engineering
Instructor(s)
Yamada Isao  Ogata Wakaha  Fukawa Kazuhiko  Yamaguchi Masahiro  Uyematsu Tomohiko  Nakayama Minoru  Yamaoka Katsunori  Kasai Kenta  Shinozaki Takahiro  Berrar Daniel  Matsumoto Ryutaroh  Nishio Takayuki 
Course component(s)
Lecture    (ZOOM)
Day/Period(Room No.)
Mon1-2()  Thr1-2()  
Group
-
Course number
ICT.A402
Credits
2
Academic year
2021
Offered quarter
1Q
Syllabus updated
2021/4/6
Lecture notes updated
-
Language used
English
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.

Keywords

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 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 Network Explain about Structure of communication systems, hierarchical model, Switching technology, Transport protocol and MAC protocol.
Class 9 Communication Systems 1 Explain about digital modulation methods, OFDM (Orthogonal Frequency-Division Multiplexing), and MIMO (Multiple-Input and Multiple-Output).
Class 10 Communication Systems 2 Explain about wireless communications and their network architectures.
Class 11 Machine Learning Explain about basic ideas in 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

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.

Textbook(s)

None

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).

isao[at]sp.ce.titech.ac.jp

Office hours

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

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