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ELEC5518: IoT for Critical Infrastructures (2020 - Semester 1)

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Unit: ELEC5518: IoT for Critical Infrastructures (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Electrical & Information Engineering
Unit Coordinator/s: Dr Shirvanimoghaddam, Mahyar
Session options: Semester 1
Versions for this Unit:
Site(s) for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: Connected smart objects, platforms and environments have been identified as the next big technology development. The intelligent network for automatic interaction and processing between objects and environments is referred to as the Internet of Things (IoT). This unit aims to introduce the design, processing and operation of critical IoT applications, including smart grids, intelligent transportation systems, smart cities and healthcare. The unit will cover the IoT architecture, important components of IoT, such as sensors, communications networks and information processing, critical IoT applications, and the design and operations of these IoT systems and infrastructures. The students will be engaged in IoT programming and system development using advanced IoT platforms.
Assumed Knowledge: None.
Lecturer/s: Dr Shirvanimoghaddam, Mahyar
Timetable: ELEC5518 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 11
3 Project Work - own time 2.00 1 12
4 Independent Study 4.00 13
T&L Activities: Independent Study: Students need to do some preparation for labs. They may also need to read the references to fully master the basic concepts covered in the lectures.

Laboratory: Labs are devoted to hands on experience with Internet of things and critical infrastructure.

Project: Small group work on selected projects.

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.

(6) Communication and Inquiry/ Research (Level 3)
1. Ability to make written and oral presentations in the form of assignments and lab reports using varied media aids and tools, to convey complex engineering material concisely and accurately.
(7) Project and Team Skills (Level 5)
2. Proficient across all facets of project development & delivery. Lead project activities on a small team scale to successful completion at a professional standard.
3. Ability to make a substantial contribution to a team project where members have some overlapping and complementary skills.
(8) Professional Effectiveness and Ethical Conduct (Level 4)
4. Exercise sound critical & ethical judgement in undertaking a complex engineering/IT leadership role.
5. Ability to investigate vulnerability and reliability.
(5) Interdisciplinary, Inclusiveness, Influence (Level 4)
6. Apply disciplinary skills in interdisciplinary contexts displaying culturally aware interpersonal effectiveness, synthesizing different perspectives at different levels to communicate convincingly and produce effective solutions.
7. Work collegially with peers from other disciplines on the same project and deliver the final product by the due date.
(4) Design (Level 4)
8. Lead and execute a whole systems design cycle, working to independently determined user requirements.
9. Ability to model critical infrastructure, including communication, energy, and transportation systems.
10. Ability to design and simulate large-scale IoT systems for critical infrastructure.
(2) Engineering/ IT Specialisation (Level 4)
11. Solve complex systemic problems, requiring thorough knowledge of the discipline working with a high level of autonomy & initiative.
12. Proficiency in using equipment and associated programming tools to the extent of the work presented in the course.
13. Ability to demonstrate an understanding of technologies, principles and techniques used in IoT systems, to the extent of the material presented throughout the course.
(3) Problem Solving and Inventiveness (Level 4)
14. Identify opportunities through creative (system) thinking approaches.Analyse complex, multilayered problems & identify potential novel opportunities; creatively use different system thinking approaches; comprehensively justify solutions & decisions
15. Ability to model and analyse broadly and design substantial parts of state-of-the-art IoT systems while appreciating the issues for further developments.
(1) Maths/ Science Methods and Tools (Level 4)
16. Implement advanced modelling & analysis. Constructs or adapts investigative methods, models and tools with thorough consideration of limitations potentially affecting the accuracy of the results.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Quizzes No 10.00 Multiple Weeks
2 Lab Work No 15.00 Multiple Weeks
3 Progress Report Yes 5.00 Week 5
4 Mini Video Yes 10.00 Week 9
5 Final Report & Demonstration Yes 15.00 Week 13
6 Final Exam No 45.00 Exam Period
Assessment Description: Lab Work: Students are assessed during the lab according to their participation in the lab work and evaluation by the tutors. You will fail this unit if you miss more than 2 labs if you fail to show a valid reason.

Project Report: A full technical report should be submitted to summarise the project goals, design, and achievements. This is a huge opportunity to publish papers.

Project Presentation: This is mainly to disseminate the achievements during the semester.

Project demonstration: Each project will be demonstrated in week 13.

Quizzes: Multiple quizzes will be held during the lecture hours to help students better understand the basic concepts.

Final Exam: The final exam will be a variation of exercises dealt with in tutorials. Please note that you need to get at least 50% in the final exam to pass this unit.
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 . 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: See the policies page of the faculty website at for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.
Prescribed Text/s: Note: Students are expected to have a personal copy of all books listed.
  • Computer Networks
  • Computer Networks: A System Approach
  • From Machine-to-Machine to the Internet of Things
  • Wireless Communications
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.
Online Course Content:

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar

Week Description
Week 1 Lecture: Introduction to Internet of Things (IoT): Fundamental concepts, key trends and terms, enabling technologies, effects on society, challenges and opportunities.
Week 2 Lab: Lab 0
Lecture: Fundamental concepts in ioT networking and key wireless technologies.
Week 3 Lab: Lab 1
Lecture: Enabling Technologies for IoT: Advances in connectivity and networks (4G LTE, Wi-Fi, ZigBee, Bluetooth Low Energy), advances in sensor and microprocessor design.
Week 4 Lecture: Data in IoT Ecosystem
Lab: Lab 2
Week 5 Lecture: Data Analytics for IoT
Lab: Lab 3
Assessment Due: Progress Report
Week 6 Lab: Lab 4
Lecture: Energy in the IoT Ecosystem
Week 7 Lecture: Energy in the IoT Ecosystem
Lab: Lab 5
Week 8 Lecture: Medium Access Control Techniques For IoT
Lab: Project Development
Week 9 Lecture: Medium Access Control Techniques For IoT
Lab: Project Development
Assessment Due: Mini Video
Week 10 Lab: Project Development
Lecture: Cellular Systems for IoT
Week 11 Lecture: Security threat in IoT, What can go wrong?
Lab: Project Development
Week 12 Lab: Project Development
Lecture: Summary
Week 13 Assessment Due: Project
Assessment Due: Final Report & Demonstration
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
Electrical Mid-Year 2018, 2019, 2020
Electrical/ Project Management 2019, 2020
Electrical 2017, 2018, 2019, 2020
Electrical / Arts 2019, 2020
Electrical / Commerce 2019, 2020
Electrical / Project Management 2018, 2020
Electrical / Science 2019, 2020
Electrical/Science (Health) 2019, 2020
Electrical / Law 2019, 2020
Software Mid-Year 2017, 2019, 2020
Software/ Project Management 2019, 2020
Software 2017, 2019, 2020
Software / Arts 2019, 2020
Software / Commerce 2019, 2020
Software / Project Management 2018
Software / Science 2019, 2020
Software/Science (Health) 2019, 2020
Software / Law 2019, 2020
Electrical/Science (Medical Science Stream) 2019, 2020
Master of Engineering 2017, 2018, 2019, 2020
Master of Professional Engineering (Accelerated) (Electrical) 2019, 2020
Master of Professional Engineering (Electrical) 2017, 2018, 2019, 2020
Software/Science (Medical Science Stream) 2019, 2020

Course Goals

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

Attribute Practiced Assessed
(6) Communication and Inquiry/ Research (Level 3) No 0%
(7) Project and Team Skills (Level 5) No 0%
(8) Professional Effectiveness and Ethical Conduct (Level 4) No 0%
(5) Interdisciplinary, Inclusiveness, Influence (Level 4) No 0%
(4) Design (Level 4) No 0%
(2) Engineering/ IT Specialisation (Level 4) No 0%
(3) Problem Solving and Inventiveness (Level 4) No 0%
(1) Maths/ Science Methods and Tools (Level 4) No 0%

These goals are selected from Engineering & IT Graduate Outcomes Table 2018 which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 2018 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.