ECTS - Communication Network Design
Communication Network Design (EE543) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Communication Network Design | EE543 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Ph.D. |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Drill and Practice, Problem Solving, Project Design/Management. |
Course Lecturer(s) |
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Course Objectives | The aim of this course is to provide students with an understanding of different communication network models, their analyses and simulation, and to provide with a thorough grounding in the principles underlying the inside of modern computer and communication networks. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Introduction to Petri nets and colored Petri nets; introduction to Omnet++; congestion management, throughput, task scheduling and resource allocation in communication networks; network architectures and topologies, OSI and TCP/IP reference models. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Petri Nets - Introduction to place/transition Petri Nets - Enabling and firing rules - Concurrency, synchronization - Determinism, safeness, boundedness - Liveness, reachability | |
2 | Petri Nets - Marking vector, capacitance vector - Incidence matrix - Algebraic representation - Discrete event-based system models - Simulation of verification of simple protocols | Review last week and Glance this week’s topics from the lecture |
3 | Colored Petri Nets - Introduction to high level Petri Nets - Timed Petri Nets - Functional Modeling and Analysis methods | Review last week and Glance this week’s topics from the lecture |
4 | Colored Petri Nets - Discrete event-based system models - Simulation and verification of simple protocols - Project #1 Assignment (Petri Nets) | Review last week and Glance this week’s topics from the lecture |
5 | Traffic Flow Control Protocols - Modeling the Leaky Bucket Algorithm - Single Arrival/Single Departure Model - Multiple Arrival/Single Departure Model - Modeling the Token Bucket Algorithm - Single Arrival/Single Departures Model - Multiple Arrivals/Single Departures Model | Review last week and Glance this week’s topics from the lecture |
6 | Error Control Protocols - Modeling Stop and Wait - Performance of Stop and Wait - Modeling Go Back N - Performance of Go Back N - Modeling Selective-Repeat - Performance Selective-Repeat | Review last week and Glance this week’s topics from the lecture |
7 | Medium Access Control Protocols - IEEE 802.1p Model Assumptions - IEEE 802.1p State Transition Diagram - IEEE 802.1p Protocol Performance - IEEE 802.3 (CSMA/CD) Model Assumptions - IEEE 802.3 (CSMA/CD) State Transition Diagram - IEEE 802.3 (CSMA/CD) Protocol Performance - Aloha and Slotted Aloha - Performance comparison of Aloha and Slotted Aloha | Review last week and Glance this week’s topics from the lecture |
8 | Switching and Routing - Time Division Multiple Access (TDMA) - Circuit Switching and Packet Switching - Hub, Bridge, Switch, Router, Gateway - Routing and Traffic Management - Project #2 (Omnet++) Assignment | Review last week and Glance this week’s topics from the lecture |
9 | Markov Chains - Discrete-TimeMarkov Chains - Memoryless Property of Markov Chains - Markov Chain Transition Matrix - Markov Matrices | Review last week and Glance this week’s topics from the lecture |
10 | Markov Chains - Eigenvalues and Eigenvectors - Constructing the State Transition Matrix - Introduction to reducible Markov Chains - Introduction to Periodic Markov Chains | Review last week and Glance this week’s topics from the lecture |
11 | Introduction to Queuing Theory - M/M/1 Queue - M/M/1/B Queue - Mm/M/1/B Queue | Review last week and Glance this week’s topics from the lecture |
12 | Introduction to Queuing Theory - M/Mm/1/B Queue - The D/M/1/B Queue - The M/D/1/B Queue - Project #3 Assignment | Review last week and Glance this week’s topics from the lecture |
13 | Project Presentation and Assessment Week-1 | Review last week and Glance this week’s topics from the lecture |
14 | Project Presentation and Assessment Week-2 | Review last week and Glance this week’s topics from the lecture |
15 | Final examination period | Review of topics |
16 | Dönem sonu sınav çalışmaları | Review of topics |
Sources
Course Book | 1. George Kesidis, “An Introduction to Communication Network Analysis”, Wiley-IEEE Press, 2007 |
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Other Sources | 2. Fayez Gebali, “Analysis of Computer and Communication Networks”, Springer, 2008 |
3. Richard M. Fujimoto, Kalyan S. Perumalla and George F. Riley, “Network Simulation”, Morgan & Claypool, 2007 | |
4. Andrew S. Tanenbaum, “Computer Networks”, 4th Edition, Pearson Education International, 2003 | |
5. Michel Diaz, “Petri Nets: Fundamental Models, Verification and Applications, Wiley-ISTE, 2009 | |
6. Kurt Jensen, Lars M. Kristensen, “Coloured Petri Nets: Modelling and Validation of Concurrent Systems”, Springer, 2009 |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | - | - |
Presentation | - | - |
Project | 2 | 60 |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 20 |
Final Exam/Final Jury | 1 | 20 |
Toplam | 4 | 100 |
Percentage of Semester Work | |
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Percentage of Final Work | 100 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | Ability to apply knowledge on Mathematics, Science and Engineering to advanced systems. | X | ||||
2 | Implementing long-term research and development studies in the major fields of Electrical and Electronics Engineering. | X | ||||
3 | Ability to use modern engineering tools, techniques and facilities in design and other engineering applications. | X | ||||
4 | Graduating researchers active on innovation and entrepreneurship. | |||||
5 | Ability to report and present research results effectively. | |||||
6 | Increasing the performance on accessing information resources and on following recent developments in science and technology. | |||||
7 | An understanding of professional and ethical responsibility. | |||||
8 | Increasing the performance on effective communications in both Turkish and English. | |||||
9 | Increasing the performance on project management. | |||||
10 | Ability to work successfully at project teams in interdisciplinary fields. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 8 | 5 | 40 |
Presentation/Seminar Prepration | |||
Project | 2 | 10 | 20 |
Report | |||
Homework Assignments | |||
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 8 | 8 |
Prepration of Final Exams/Final Jury | 1 | 9 | 9 |
Total Workload | 125 |