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.
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
|✔ Specialist skills
|Critical thinking skills
|Practical and/or problem-solving skills
After reviewing mathematical tools, the instructor presents a whole picture of Communications and Signal Processing fields.
|Mathematical Preliminaries 1 - Review of Real and Complex Analysis
|Explain basic ideas in Multivariable Differential Calculus, Complex Analysis.
|Mathematical Preliminaries 2 - Review of Linear Algebra
|Explain vector space, matrix, linear operator and eigenvalue problem
|Explain Entropy, Huffman coding
|Information Theory 2
|Explain Mutual information, Channel capacity
|Explain Linear block codes
|Information Security and Cryptography 1
|Explain Common key cryptosystem and public key cryptosystem.
|Information Security and Cryptography 2
|Explain RSA cryptosystem and digital signature.
|Explain Structure of communication systems, hierarchical model, Switching technology, Transport protocol and MAC protocol.
|Communication Systems 1
|Explain digital modulation methods, OFDM (Orthogonal Frequency-Division Multiplexing), and MIMO (Multiple-Input and Multiple-Output).
|Communication Systems 2
|Explain wireless communications and their network architectures.
|Signal Processing 1 - Fourier Analysis, Least Squares Estimation
|Explain Fourier analysis, Least squares estimation
|Signal Processing 2 (Radar Signal Processing)
|Explain the main modulation and signal detection methods of radar.
|Signal Processing 3 (Speech Processing)
|Explain speech analysis and statistical modeling for speech recognition and synthesis
|Signal Processing 4 (Image Processing)
|Explain expression of digital image
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.
Handouts will be distributed at the beginning of class if necessary.
Learning achievement is evaluated by the quality of the written reports and exercise problems, 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 by e-mail in advance to schedule an appointment.
Every class is face-to-face lecture except a class "Network". The class "Network" is livestream lecture by Zoom.