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School of Electrical & Electronic Engineering

N107, Engineering North Building
The University of Adelaide
SA 5005
AUSTRALIA
Email

Telephone: +61 8 8303 5277
Facsimile: +61 8 8303 4360

Master of Engineering (Advanced) (Sensor Systems & Signal Processing)

Overview
Program Structure
Further Information

Overview

This program brings together three important aspects of modern sensor systems; the overall system and application, the sensor technology required for such systems and the signal processing required to extract desired information. Graduates from this program will acquire broad sensor and systems skills, an understanding of the principles underlying the design of analogue and digital hardware and a suite of signal processing tools for the analysis of data.

The program normally takes four semesters of full-time study and is made up of 75% coursework and 25% masters project. The core courses are designed to provide generic skills applicable across all fields of engineering. Each semester, students are required to undertake two to three Sensor Systems Signal Processing specific courses of electives. In addition to the coursework, students are required to undertake a two-semester masters project in sensor systems signal processing under the guidance of an academic supervisor, give seminars and write reports on the research.

Program Structure

M.E.(Adv)(SSSP) Program Structure for February Entry
Year 1	February Semester	Engineering Communication & Critical Thinking System Modelling & Simulation (App Mth) System Modelling & Simulation (Comp Sci)	2 electives from February semester courses
Year 1	July Semester	Applied Project Management 1 Statistics in Engineering	2 electives from July semester courses
Year 2	February Semester	Masters Project	2 electives from February semester courses
Year 2	July Semester	Masters Project	2 electives from July semester courses
*Note: One elective of the M.E.(Adv) program may be chosen from the the Management Electives.

M.E.(Adv)(SSSP) Program Structure for July Entry
Year 1	July Semester	Engineering Communication & Critical Thinking Statistics in Engineering	2 electives from July semester courses
Year 1	February Semester	Applied Project Management 1 System Modelling & Simulation (App Mth) System Modelling & Simulation (Comp Sci)	2 electives from February semester courses
Year 2	July Semester	Masters Project	2 electives from July semester courses
Year 2	February Semester	Masters Project	Two electives from February semester courses
*Note: One elective of the M.E.(Adv) program may be chosen from the the Management Electives.

M.E.(Adv)(SSSP) Electives

February Semester Courses

7015 Adaptive Signal Processing

7017 Beamforming & Array Processing

7054 Detection & Estimation Theory
7078 (APP MTH) Information Theory
7051 Microelectronic Datapaths & Arithmetic

7033 Principles of RF Engineering

7065 Sonar Sensors & Systems

July Semester Courses

7053 Analog Microelectronic Systems

7055 Antennas & Propagation
7052 EM Theory & RFID Applications

7059 Radar Principles & Systems, An Introduction

7060 Image Sensors & Processing

7067 Introduction to Quantum Computation

7041 (PURE MTH) Mathematical Coding & Cryptology
7056 (APP MTH) Telecommunications Systems Modelling
7011 (APP MTH) Transform Methods & Signal Processing

Management Courses

5025 (ENTRSHIP) Commercialisation: Process & Strategy - July Semester intensive mode course, conducted in July & September

5008 (ENTRSHIP) Leading & Managing - Summer Semester intensive mode course, conducted in February

Further Information

For further information regarding application to this program, contact Application Advisor or visit 'How To Apply'. For further information regarding program details, please contact the Program Adviser.