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2024 Faculty Courses School of Environment and Society Undergraduate major in Transdisciplinary Science and Engineering

Communication and network

Academic unit or major
Undergraduate major in Transdisciplinary Science and Engineering
Instructor(s)
Hang Song / Jun-Ichi Takada
Class Format
Lecture (Face-to-face)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
3-4 Mon / 3-4 Thu
Class
-
Course Code
TSE.A322
Number of credits
200
Course offered
2024
Offered quarter
1Q
Syllabus updated
Mar 14, 2025
Language
English

Syllabus

Course overview and goals

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 in the communication network.

Course description and aims

1. Acquiring the essential knowledge for managing the local area network in the future career, through general understanding of the communication networks.
2. Understanding the mathematical theories such as the signal modulation and the source coding theorem.

Keywords

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

Competencies

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

Class flow

Lecture and exercise

Course schedule/Objectives

Course schedule Objectives
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 Transport Protocol The exercise about the transport protocol
Class 9 Application Layer, Other functions The exercise about the DNS and HTTP protocols
Class 10 Probability Theory The exercise about the random process and probability theory
Class 11 Channel Coding I The exercise about the information entropy
Class 12 Channel Coding II The exercise about the source coding theorem
Class 13 Channel Coding III The exercise about the channel coding theorem
Class 14 Encryption and Network Security Technology II Functions of Common key/Public-key cryptography

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)

Lecture materials are distributed from the T2SCHOLA.

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

Evaluation methods and criteria

Evaluated by weekly homework (40%), and final examination (60%)

Related courses

  • None

Prerequisites

None