Faculty of Science, Engineering and Technology Unit Outline EEE30004 Digital Signal Processing Semester 2 2019 Please read this Unit Outline carefully. It includes: PART A Unit summary PART B Your Unit in more detail PART C Further information "Swinburne University of Technology recognises the historical and cultural significance of Australia's Indigenous history and the role it plays in contemporary education Each day in Australia, we all walk on traditional Indigenous land We therefore acknowledge the traditional custodians of the land that our Australian campuses currently occupy, the Wurundjer| people, and pay respect to Elders past and present, including those from other areas who now reside on Wurundjeri land" SWIN BUR NE % % SWINBURNE UNIVERSITY OF TECHNOLOGY EEE30004 Unit Outline --
PART A: Unit Summary Unit Code(s) EEE30004 Unit Title Digital Signal Processing Duration One Semester Total Contact Hours (40 hour lectures, 10 hour tutorials and 10 hour labs) Requisites: Pre-requisites MTH20004 or MTH20010 and MTH20014 plus EEE20002 or EEE20006 Credit Points 12.5 Campus/Location Hawthorn Mode of Delivery Face to face Assumed knowledge Linear algebra, Calculus, Complex analysis, Vector analysis. Assessment Summary 60 hours 1. Examination 3. Mid-semester Test 2. Lab Results Individual 50% Individual 40% Individual 10% Aims This unit of study aims to introduce the principles of signal processing, with emphasis on discrete signal processing. It will provide students with understanding of digital signal processing fundamentals and operations along with discussions of basis of statistics and stochastic processes. Unit Learning Outcomes (ULO) Students who successfully complete this unit will be able to: 1. Appreciate time domain and frequency domain representations and properties of signals and signal processing systems (K1, K2, S1). 2. Appreciate fundamentals of stochastic signals and stochastic signal processing. (K1, K2, S1) 3. Analyse sampling and digital quantification mechanisms in digital signal processing. (K1, K2, S1) 4. Apply transformation methods to the analysis of continuous and discrete signals and the analysis and design of digital filters in the time and frequency domains. (K1, K2, K3, S1, S2) 5. Apply software tools to the design and analysis of signal processing systems. (K1, K2, S1, S2) Key Generic Skills During this unit students will receive feedback on the following key generic skills: · Teamwork Skills · Analysis Skills · Problem Solving Skills · Communication Skills · Ability to tackle unfamiliar problems · Ability to work independently EEE30004 Unit Outline
Swinburne Engineering Competencies for this Unit of Study This Unit of Study will contribute to you attaining the following Swinburne Engineering Competencies: K1 Basic Science: Proficiently applies concepts, theories and techniques of the relevant natural and physical sciences. K2 Maths and IT as Tools: Proficiently uses relevant mathematics and computer and information science concepts as tools. K3 Discipline Specific: Proficiently applies advanced technical knowledge of the specific discipline within that context. S1 Engineering Methods: Applies engineering methods in practical applications. S2 Problem Solving: Systematically uses engineering methods in solving complex problems. Lecture Contents Introduction to digital signal processing (DSP) (2 hours) Sinusoids and spectrum representation (4 hours) Sinusoidal signals,