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ELEC3506: Data Communications and the Internet (2011 - Semester 2)

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Unit: ELEC3506: Communications Networks (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Senior
Faculty/School: School of Electrical & Computer Engineering
Unit Coordinator/s: Professor Jamalipour, Abbas
Session options: Semester 2
Versions for this Unit:
Site(s) for this Unit: http://www.eelab.usyd.edu.au/ELEC3506
Campus: Camperdown/Darlington
Pre-Requisites: None.
Prohibitions: NETS2150.
Brief Handbook Description: Students undertaking this unit should be familiar with fundamental digital technologies and representations such as bit complement and internal word representation. Students should also have a basic understanding of the physical properties of communication channels, techniques and limitations. Furthermore, students should be able to apply fundamental mathematical skills.

The unit will cover the following specific material: Communication reference models (TCP/IP, ATM and OSI). Circuit switched and packet switched communication. Network node functions and building blocks. LAN, MAN and WAN technologies. ATM systems. Protocols fundamental mechanisms. The TCP/IP core protocols (IP, ICMP, DHCP, ARP, TCP, UDP etc.). Applications and protocols (FTP, Telnet, SMTP, HTTP etc.).
Assumed Knowledge: None.
Lecturer/s: Dr Munsinghe, Kumudu
Timetable: ELEC3506 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 1 13
2 Laboratory 2.00 1 6
3 Tutorial 2.00 1 13
4 Independent Study 5.00 13
T&L Activities: Laboratory: The labs are designed to greatly deepen students` understanding of network protocols by seeing them in action. The labs cover various layers of internet protocols and give students the opportunity to observe the sequence of messages exchanged between two protocol entities and even to try different parameters in some protocols and watch the effects.

Tutorial: Tutorials are designed to help student understand the materials from the lectures as well as the textbook.

Independent Study: The introductory nature of this UoS means that students will encounter various pieces of knowledge in networking areas. Therefore, independent study is essential for a success completion.

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
The tutorials and laboratories are prepared to encourage ability of problem formulation and solving. The examinations are also taking design and problem solving as one of the major assessment elements. Design and Problem Solving Skills (Level 4)
Specialised skills in data communications will be developed during the T&L process. Key concepts in data communications and networking will be introduced and the state-of-art techniques studied. Discipline Specific Expertise (Level 5)
Intermediate level of mathematics are involved in the T&L process of this UoS in order to understand different network protocols and algorithms. Fundamentals of Science and Engineering (Level 3)
Different network analytical tools will be used in the laboratories and students need to conduct tests and experiments and perform analysis to the observations based on the theory learned from the text. Information Skills (Level 2)
Laboratory reports are assessed with clarity, conciseness, accuracy and persuasiveness as the main assessment elements. The open questions in the examinations also assess the ability of effective communications. Professional Communication (Level 2)
Team work in pairs in the laboratories. Teamwork and Project Management (Level 2)

For explanation of attributes and levels see Engineering/IT Graduate Attribute Matrix 2009.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

Design and Problem Solving Skills (Level 4)
1. Ability to solve ill-defined network problems by employing techniques and principles of protocol design, implementation and analysis.
Discipline Specific Expertise (Level 5)
2. Capacity to demonstrate an understanding of concepts in data communications and networking and the advantages and disadvantages of alternative protocols, algorithms and designs.
3. Proficiency in assessing and troubleshooting different networks using specific network tools such as packet sniffer to the extent presented in the course.
4. Ability to apply principles and concepts of communication and networking protocols, algorithms and designs to specific engineering problems and situations to the extent of the material presented.
Fundamentals of Science and Engineering (Level 3)
5. Ability to demonstrate an understanding of network protocols and algorithms using fundamental mathematical derivations.
Professional Communication (Level 2)
6. Ability to write reports to communicate complex and technical material clearly and concisely, addressing a specific target audience.
Teamwork and Project Management (Level 2)
7. Ability to work in a team by drawing on the abilities and knowledge of others, emphasizing and fulfilling clear responsibilities and leading in the development of a consensus to the specific engineering problem at hand.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Mid-Sem Exam No 20.00 Week 9 1, 2, 4, 5,
2 Final Exam No 60.00 Exam Period 1, 2, 4, 5,
3 Log Book No 4.00 Multiple Weeks 1, 2, 4, 5,
4 Lab Report Yes 16.00 Multiple Weeks 1, 3, 4, 6, 7,
Assessment Description: Log Book: This logs the attendance of tutorial classes.

Lab Report: Students need to submit an independent report for each laboratory.
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Policies & Procedures: Policies regarding academic honesty and plagiarism, special consideration and appeals in the Faculty of Engineering and Information Technologies can be found on the Faculty's policy page at http://www.eng.usyd.edu.au/policies Faculty policies are governed by Academic Board resolutions whose details can be found on the Central Policy Online site at http://www.usyd.edu.au/policy/

Policies regarding assessment formatting, submission methods, late submission penalties and assessment feedback depend on the unit of study. Details of these policies, where applicable, should be found above with other assessment details.
Prescribed Text/s: Note: Students are expected to have a personal copy of all books listed.
  • Computer Networking
Recommended Reference/s: Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.
  • Data Communications and Networking
Online Course Content: http://www.eelab.usyd.edu.au/ELEC3506

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 Background and preview: an introduction to the Internet
Week 2 Physical layer
Week 3 Data link layer
Week 4 Local area networks
Week 5 Wireless networks
Week 6 Wide area networks
Week 7 IP networks
Week 8 IPv6 and routing
Week 9 Mid-semester examination
Assessment Due: Mid-Sem Exam
Week 10 Transport layer
Week 11 Quality of service in IP networks
Week 12 Application layer
Week 13 Mobile IP, multimedia communications protocols
Exam Period Assessment Due: Final Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Bachelor of Advanced Computing (Cybersecurity) 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Cybersecurity) - Mid-Year 2021, 2022, 2023, 2024, 2025
Computer Engineering / Commerce 2010
Electrical Engineering (Computer) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Commerce 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Medical Science 2011, 2013, 2014
Electrical Engineering (Computer) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Law 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Commerce 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Law 2011, 2012, 2013, 2014
Electrical / Project Management 2019+ 2023, 2024, 2025, 2019, 2020, 2021, 2022
Electrical Engineering 2023, 2024, 2025, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Arts 2023+ 2023, 2024, 2025
Electrical / Commerce 2023+ 2023, 2024, 2025
Electrical / Science 2023, 2024, 2025, 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Science - Mid Year 2023, 2024, 2025
Electrical / Law 2023+ 2023, 2024, 2025
Electrical Engineering (mid-year) 2023, 2024, 2025, 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical Engineering / Arts 2011, 2012, 2013, 2014
Electrical Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Electrical Engineering (Bioelectronics) / Arts 2011, 2012
Electrical Engineering (Bioelectronics) / Science 2011, 2012
Electrical Engineering / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering / Science 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Science 2011, 2012, 2013, 2014
Biomedical Engineering (mid-year) 2016, 2017, 2018, 2019, 2020
Biomedical Engineering 2016, 2017, 2018, 2019, 2020
Electrical / Arts (2022 and earlier) 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Commerce 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Project Management 2016, 2017, 2018
Electrical / Law 2016, 2017, 2018, 2019, 2020, 2021, 2022
Software Engineering (mid-year) 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Software / Project Management 2019+ 2019, 2020, 2021, 2022, 2023, 2024, 2025
Software Engineering 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Software / Arts (2022 and earlier) 2016, 2017, 2018, 2019, 2020, 2021, 2022
Software / Arts 2023+ 2023, 2024, 2025
Software / Commerce 2016, 2017, 2018, 2019, 2020, 2021, 2022
Software / Commerce 2023+ 2023, 2024, 2025
Software / Project Management 2016, 2017, 2018
Software / Science 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Software / Science (Health) 2018, 2019, 2020, 2021, 2022
Software / Science - Mid Year 2023, 2024, 2025
Software / Law 2016, 2017, 2018, 2019, 2020, 2021, 2022
Software / Law 2023+ 2023, 2024, 2025
Software Engineering / Arts 2011, 2012, 2013, 2014
Software Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Software Engineering / Medical Science 2011, 2012, 2013, 2014
Software Engineering / Science 2011, 2012, 2013, 2014
Software / Science (Medical Science Stream) 2018, 2019, 2020, 2021, 2022
Advanced Computing / Science 2022, 2023, 2024, 2025
Advanced Computing / Science (Medical Science) 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Computational Data Science) 2022, 2023, 2024, 2025, 2021
Advanced Computing / Commerce 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Computational Data Science) - Mid-Year 2022, 2023, 2024, 2025, 2021
Bachelor of Advanced Computing (Computer Science) 2022, 2023, 2024, 2025, 2021
Bachelor of Advanced Computing (Computer Science) - Mid-Year 2022, 2023, 2024, 2025, 2021
Bachelor of Advanced Computing (Software Development) 2022, 2023, 2024, 2025, 2021
Bachelor of Advanced Computing (Software Development) - Mid-Year 2023, 2024, 2025, 2022, 2021

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
Design and Problem Solving Skills (Level 4) Yes 24.2%
Discipline Specific Expertise (Level 5) Yes 48.4%
Fundamentals of Science and Engineering (Level 3) Yes 21%
Information Skills (Level 2) Yes 0%
Professional Communication (Level 2) Yes 3.2%
Professional Values, Judgement and Conduct (Level 2) No 0%
Teamwork and Project Management (Level 2) Yes 3.2%

These goals are selected from Engineering/IT Graduate Attribute Matrix 2009 which defines overall goals for courses where this unit is primarily offered. See Engineering/IT Graduate Attribute Matrix 2009 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.