University of Sydney Handbooks - 2018 Archive

Download full 2018 archive Page archived at: Fri, 21 Sep 2018 05:39:45 +0000

Internet of Things Major

Overview

The Internet of Things consists of sensors that collect data, communication networks for data transmission and data analytics applications for evaluating data and making decision. The major will cover these three key aspects of IoT by combining the study of telecommunications, electrical and computer engineering, with an emphasis on wireless communications, networks, sensor devices, data technologies and its applications in smart grids and critical infrastructure. The major offers a comprehensive program with state of the art IoT technologies and students can engage in the creative development of the innovative Internet of Things.

In this major, you will learn various programming languages, embedded systems, real time operating systems, communications networks, wide range of sensors, data analytics technology, security techniques and IoT system design methods and engineering implementation techniques that are essential for the development of IoT industry.

This major best aligns with the Electrical stream.

Unit of study table

Unit of study Credit points A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition Session

Internet of Things Major

Unit of study table

Complete a minimum of 24 credit points of the following units of study, comprising:
Complete all 12 credit points of:
ELEC5514
Networked Embedded Systems
6    A ELEC3305, ELEC3506, ELEC3607 and ELEC5508
P ELEC5509
Semester 2
ELEC5517
Software Defined Networks
6    P ELEC3506 OR ELEC9506
Semester 2
Complete a minimum of 12 credit points from:
ELEC5518
IoT for Critical Infrastructures
6      Semester 1
ELEC5616
Computer and Network Security
6    A A programming language, basic maths.
Semester 1
ELEC5208
Intelligent Electricity Networks
6    A Fundamentals of Electricity Networks, Control Systems and Telecommunications
Semester 1
ELEC5508
Wireless Engineering
6    A Basic knowledge in probability and statistics, analog and digital communications, error probability calculation in communications channels, and telecommunications network.
Semester 2
COMP5047
Pervasive Computing
6    A Background in programming and operating systems that is sufficient for the student to independently learn new programming tools from standard online technical materials. Ability to conduct a literature search. Ability to write reports of work done.

Note: Department permission required for enrolment

Semester 2
COMP5216
Mobile Computing
6    A COMP5214 OR COMP9103. Software Development in JAVA, or similar introductory software development units.
Semester 2
COMP5426
Parallel and Distributed Computing
6      Semester 1