2019 Communication and network

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Academic unit or major
Undergraduate major in Transdisciplinary Science and Engineering
Saito Kentaro  Yamashita Yukihiko 
Course component(s)
Day/Period(Room No.)
Mon3-4(S622)  Thr3-4(S622)  
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
Access Index

Course description and aims

Nowadays, communication networks have become the essential infrastructure for our daily life.
The communication networks, such as the internet consist of various component technologies.
This course focuses on understanding the overview and the background mathematical theories of each component that configures the communication network.

Student learning outcomes

1. General understanding of the communication networking that is the essential knowledge for managing the local area network in the future carrier.
2. The understanding of the mathematical theories such as the signal modulation and the source coding theorem


Internet protocol, Networking theory, Communication theory, Source coding theorem, Cryptographic theory

Competencies that will be developed

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

Class flow

Lecture and exercise

Course schedule/Required learning

  Course schedule Required learning
Class 1 How to proceed with the lecture, The internet and OSI reference model OSI reference model and functions of each layer
Class 2 Internet protocol (IP) Functions of IP
Class 3 Routing technology The exercise about the routing table
Class 4 MAC Protocol The exercise about the various MAC protocols
Class 5 Signal Modulation I The exercise about Fourier Transformation Theory
Class 6 Signal Modulation II The exercise about the analog signal modulation
Class 7 Signal Modulation III The exercise about the digital signal modulation
Class 8 Mid‐term Test None
Class 9 Transport Protocol The exercise about the transport protocol
Class 10 Application Layer, Other functions The exercise about the DNS and HTTP protocols
Class 11 Probability Theory The exercise about the random process and probability theory
Class 12 Channel Coding I The exercise about the information entropy
Class 13 Channel Coding II The exercise about the source coding theorem
Class 14 Channel Coding III The exercise about the channel coding theorem
Class 15 Encryption and Network Security Technology II Functions of Common key/Public-key cryptography


Lecture materials are distributed from the OCW-i.

Reference books, course materials, etc.

Andrew S. Tanenbaum, David J. Wetherall, “Computer Networks” Pearson Education Limited; 2013
Simon Haykin, Michael Moher, “Communication Systems”, Wiley, 2009.
Stefan M. Moser, Po-Ning Chen, “A Student's Guide to Coding and Information Theory”, Cambridge University Press

Assessment criteria and methods

Evaluated by weekly/midterm/final examinations and the attendance rate to the class

Related courses

  • None

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


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