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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
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- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
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School of Environment and Society
- Department of Architecture and Building Engineering
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- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Undergraduate major in Information and Communications Engineering
- Instructor(s)
- Uyematsu Tomohiko Yamaoka Katsunori
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Mon5-6(W641) Thr5-6(W641)
- Group
- -
- Course number
- ICT.C301
- Credits
- 2
- Academic year
- 2018
- Offered quarter
- 1Q
- Syllabus updated
- 2018/4/9
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
Basic theories and principles of information and communication networks are lectured on including data communication protocols, circuit and packet switching, and networking. And, performance analysis methods are studied including protocol analysis methods and queueing theory (teletraffic theory) based on a probabilistic approach.
Student learning outcomes
By the end of this course, students will be able to:
1. understand network architecture;
2. design data communication protocols;
3. design media access protocols;
4. design switching and exchanging systems by using queueing theory;
5. design network systems by using queueing theory
Keywords
Queueing Theory, Computer Network Protocol, Switching and Exchanging
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
Lectures only.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Overview of information and communication network: circuit switching and packet exchanging, OSI reference model Basic mechanism of circuit switching and packet exchanging, and a concept of OSI reference model should be understood. | Explain the difference between circuit switching and packet exchanging, and OSI reference model. |
| Class 2 | Data communication methods: Automatic Repeat request(ARQ) (Stop-and-Wait ARQ) Behaviour of Stop-and Wait ARQ, and performance analysis method of it should be understood. | Explain the Stop-and Wait ARQ. |
| Class 3 | Data communication methods: Automatic Repeat request(ARQ) (Go-back-N ARQ) Behaviour of Go-back-N ARQ, and performance analysis method of it should be understood. | Explain the Go-buck-N ARQ. |
| Class 4 | Circuit switching: Switch construction methods Relations between performance and cost on switch construction should be understood. | Explain the Switch construction methods. |
| Class 5 | Packet exchanging: Multiple access (Random access) Behaviour of random access protocol, and performance analysis method of it should be understood. | Explain the random access protocols and their analysis methods. |
| Class 6 | Packet exchanging: Multiple access (Carrier Sense Multiple Access (CSMA)) Behaviour of CSMA, and performance analysis method of it should be understood. | Explain the CSMA. |
| Class 7 | Queueing theory: Basic of probability theory, Poisson and exponential distributions Poisson and exponential distributions should be understood. | Explain the poisson and exponential distributions. |
| Class 8 | Queueing theory: Overview of queueing systems, Kendall’s notation | Explain the Kendall's notation. |
| Class 9 | Queueing theory: M/M/1/1 model, Performance analysis method by using state transition diagram Performance analysis method by using state transition diagram should be understood on M/M/1/1 model. | Explain the M/M/1/1 model. |
| Class 10 | Queueing theory: M/M/1 model and Littl's formula | Explain the M/M/1 model and Little's formula. |
| Class 11 | Queueing theory: M/M/1/K model and M/M/s model | Explain the M/M/1/K model and M/M/s model. |
| Class 12 | Queueing theory: Reliability analysis of systems | Explain the reliability analysis of systems. |
| Class 13 | Queueing theory: M/G/1 model and Pollaczek-Khintchine formula | Explain the M/G/1 model. |
| Class 14 | Queueing theory: Teletraffic Theory and loss system | Explain the Teletraffic Theory. |
| Class 15 | Queueing theory: Heterogeneous Traffic Analysis | Explain the Heterogeneous Traffic Analysis. |
Textbook(s)
TBD
Reference books, course materials, etc.
Nothing
Assessment criteria and methods
Examination only.
Related courses
- ICT.M202 ： Probability and Statistics (ICT)
- ICT.C305 ： Network Architecture and Control
- ICT.C309 ： Multimedia Distribution Technology
- ICT.C315 ： Cryptographic Technology and Network Security
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Basic of Probability and Statistics are required.
Contact information (e-mail and phone) Notice : Please replace from "[at]" to "@"(half-width character).
yamaoka[at]ict.e.titech.ac.jp
Office hours
Please e-mail to Yamaoka (yamaoka@ict.e.titech.ac.jp) in advance.
