The subject was introduced as a foundation subject for students enrolled in the course of Bachelor of Digital Systems (DGS for short). It has been run as a core subject for DGS students and an elective for Computer Science and Software Engineering students.

The signal and system concepts, theory, principles and skills are in all areas of technology, engineering and sciences ?1?. It aims at equipping undergraduate students in DGS and information technology in general the fundamental principles, techniques and skills in representation, modelling and analysis of both analog and digital signals and systems, such as electrical and electronic, communications, financial, biological, robotic, defence, manufacturing, etc.

It leads to a number of a advanced subjects and topics, including digital signal processing, image processing, digital video coding and compression, neuro-fuzzy computing, digital communications, data and image compression, advanced digital signal processing etc. offered by the Faculty of IT.

References: ?1? E.W. Kamen and B.S. Heck, Fundamental of Signals and Systems--Using The Web and Matlab", 2nd Edition, Prentice-Hall, Inc., 2000.

The subject was introduced as a foundation subject for students enrolled in the course of Bachelor of Digital Systems (DGS for short). It has been run as a core subject for DGS students and an elective for Computer Science and Software Engineering students.

The signal and system concepts, theory, principles and skills are in all areas of technology, engineering and sciences ?1?. It aims at equipping undergraduate students in DGS and information technology in general the fundamental principles, techniques and skills in representation, modelling and analysis of both analog and digital signals and systems, such as electrical and electronic, communications, financial, biological, robotic, defence, manufacturing, etc.

It leads to a number of a advanced subjects and topics, including digital signal processing, image processing, digital video coding and compression, neuro-fuzzy computing, digital communications, data and image compression, advanced digital signal processing etc. offered by the Faculty of IT.

CSE2131 FDSP as a level 2 subject is designed to equip students in digital systems, computer science and other information technology courses with fundamental concepts, principles and techniques in continuous-time (analog) and discrete-time (digital) systems representation, realization and analysis, and analog and digital signal conversions. It assists students to develop their analytical and problem solving skills by combining their knowledge learnt in mathematics, programming and physics in order to prepare them for advanced subjects in digital systems and computer engineering as well as their applications such as digital signal processing, digital image processing, digital communications, multimedia signal processing and communications, biomedical imaging, automatic control and robotic systems, instrumentation, etc.

CSE2131 FDSP is a unique subject that has no similar offerings in the Faculty of Information Technology.

CSE2131 FDSP offers students in digital systems, computer science and other information technology courses a unique subject to develop their theoretical/analytical and problem solving skills in dealing with digital and computer systems for real-world applications. It consolidates students knowledge and proficiency in mathematics and specialized programming. It challenges students ability in critical thinking. It assists stuents to develop their technical communications skills to describe a technical concept/principle/technique/matter in plain (e.g., Engilish) language, rigorous mathematic language and visual presentation.

• Knowledge: Time and transform domain representations of analog and discrete-time signals and systems; system properties such as linearity, causality, time-invariance, and stability; stability testing techniques; frequency analysis and decomposition, and superposition theorem and principle; logic diagram or signal flow graph representation forms of systems; sampling theorem and associated concepts such as Nyquist frequency and Nyquist rate.
• Comprehension: in all above topics.
• Application: Apply the above knowledge to modelling, representation and analysis of analog and discrete-time electrical, electronic, mechanical and financial signals and systems, with emphasis on signal processing, communications and control applications.

4&5. Analysis and Synthesis: Frequency decomposition and analysis, divide and conquer approach via principle of superposition, parallel and cascade connections of subsystems.

• Evaluation: in all above topics.

Scientific curiosity, systematic learning approach, analysing and investigating based on facts, importance of the conditions for knowledge to apply, values and limitations of subject matters studied under the subject, Monash University motto: "I'm still learning", i.e., life-time learning skills and abilities, applying knowledge to solve real-world problems.

In application of mathematical knowledge in definition or description, analysis and solving of problems; in using mathematical programming language, e.g., Matlab to deal with signals and systems problems such as modelling and representation, analysis and design; in both written and oral communications.

E.W. Kamen and B.S. Heck, Fundamental of Signals and Systems--Using The Web and Matlab, 2nd Edition, Prentice-Hall, Inc., 2000.

The MATH WORKS Inc., The Student Edition of MATLAB--The Language of Technical Computing, Version 5, User's Guide", Prentice Hall, 1997 (ISBN:~0~13~272550~9).

A. V. Oppenheim, A. S. Willsky and S. H. Nawab, Signals and Systems, 2nd Edition, Prentice-Hall, Inc.,

E.W. Kamen, Introduction to Signals and Systems, 2nd ed, MacMillan Publishers, 1990.

R.E. Ziemer, W.H. Tranter and D.R. Fannin, Signals and Systems: Continuous and Discrete, 3rd ed, MacMillan Publishers, 1993.

C. Chen, Systems and Signal Analysis, Saunders College Publishing, 2nd Edition, 1994.

P. Kraniauskas, Transforms in Signals and Systems, Addison-Wesley, 1992.

Lectures 2 hours per week; tutorials 1 hour per week; laboratory practical work 2 hours per week; assignements 1 per every two weeks for a total of 10 weeks.

Moed: On-campus.

Strategies of Teaching: lectures, tutorials, assignments and laboratory practical work.

Teaching Methods in Relationship to Objectives:

Lectures: 1-18

Tutorial: 1-6, and communication skills

Assignments: 1-11

Lab: 1-6 and pracitcal skills

Examination (3 hours): 60% - Assignments 10% - Laboratory practical work 30%

Prescribed texts

E. W. Kamen and B. S. Heck, Fundamentals of Signals and Systems 2nd edn, Upper Saddle River, New Jersey: Prentice-Hall, 2000.

Examination (3 hours): 60% - Assignments 10% - Laboratory practical work 30%

Prescribed texts

E. W. Kamen and B. S. Heck, Fundamentals of Signals and Systems 2nd edn, Upper Saddle River, New Jersey: Prentice-Hall, 2000.

6 Points

2 hrs lectures, 1 hr tutorial, 2 hr lab work and 7 hours private study time per week.

Theatre equipped with overhead projector(s).

Theatre or tutorial room equipped with overhead projector and black/white board.

Computers which support Matlab software and basic file editing.

1 lecturer, 1 tutor, 1 lab demonstrator.

• Software Title:
• Vendor:
• Version:
• OS: MS Windows XP ( ) and/or LINUX ( )
• License Details: (A valid software license certificate/s or Vendor permission must be available upon request if the software is to be installed for teaching)
• Are we currently licensed: Yes ( ) or No ( ) (If unsure, please check with your local IT support )
• If (Yes), who is the contact person for this software?:
• If (No), will the software license be arranged by: Staff member requesting the software ( ) or Technical Services* ( ) ? *If the latter is selected, please discuss your requirement/s with myself ASAP, prior to finalising your request, as there could be financial or resourcing implications.
• Is the software to be installed and accessed from a: Client/Workstation ( ), or Server ( ) ?
• Type of license: Site License ( ), Freeware ( ), FOSS (Free and Open Source Software) ( ), Shareware ( ), Lab based ( ) # of Licenses needed ____
• In what week will you commence using the software in class? Semester 1 (Week ___ ) and/or Semester 2 (Week ___ ):
• Nominated Staff For Acceptance Testing Software: (Name) (Phone) (Email)
• Additional Information: Special Requirements, Software Configuration/Installation Requirements, etc:

Matlab software package by The Math Works.

CSSE

MAT1812 Mathematics IID or equivalent

H R Wu