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Please note - Swinburne University of Technology

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~~404 Systems Analysis<br />

10 credit points<br />

No. <strong>of</strong> hours per week: three hours<br />

Instruction: a combination <strong>of</strong> lectures and tutorial<br />

sessions<br />

Assessment: assignments andlor projects and a<br />

final examination<br />

Subject aims<br />

To develop an understanding <strong>of</strong> the principles and practice<br />

<strong>of</strong> systems analysis - translating <strong>of</strong> user needs into<br />

specifications.<br />

Subject description<br />

The System Life Cycle; Strategic Information Systems<br />

Planning; Systems Investigation and Feasibility; Structured<br />

Analysis - Process Modelling; Structured Analysis - Data<br />

Modelling; Structured Systems Design.<br />

Textbooks<br />

To be advised.<br />

54407 Data Communications<br />

10 credit points<br />

No. <strong>of</strong> hours per week: three hours<br />

Instruction: a combination <strong>of</strong> lectures and<br />

practical sessions<br />

Assessment: assignments and a final examination<br />

3<br />

S<br />

Subject description<br />

An introduction to the fundamental concepts in modern<br />

3. computer-to-computer communications. Topics covered<br />

include physical aspects <strong>of</strong> data communications, data link<br />

- m<br />

control, terminal base networks, communication protocols,<br />

rn<br />

distributed computer systems, local area networks, public<br />

5. data networks, Telecom Australia data communication<br />

services, OSI - Open Systems Interconnection.<br />

5. -<br />

d<br />

20. SQ~I COBOL Programming<br />

10 credit points<br />

No. <strong>of</strong> hours per week: three hours<br />

Instruction: lecture and practical classes<br />

Assessment: assignments and exam<br />

Subject aims<br />

The aim is to introduce the COBOL language and its problem<br />

solution domain.<br />

Subject description<br />

lntroduction to structured programming: COBOL overview;<br />

file, record and data definition; file processing; modularity -<br />

perform; arithmetic; move, editing, If; validation, testing,<br />

debugging; control groups; tables; strings; subprograms; sort.<br />

Textbook<br />

Stern and Stern. Structured Cobol Programming. 7th edn, New York,<br />

Wiley, 1994<br />

~~412 Systems Programming<br />

10 credit points<br />

No. <strong>of</strong> hours per week: three hours<br />

Prerequisites: approved competence in C<br />

programming<br />

Instruction: lectures and laboratory sessions<br />

Assessment: assignment and exam<br />

Subject aims<br />

To introduce students to the UNlX operating system; to teach<br />

the use <strong>of</strong> shell scripts as a method <strong>of</strong> prototyping system<br />

s<strong>of</strong>tware; to examine systems programming in a UNlX<br />

environment via consideration <strong>of</strong> various system calls.<br />

Subject description<br />

lntroduction to UNlX operating systems; UNlX file<br />

management; commands and filters; electronic mail;<br />

structure <strong>of</strong> the operating system; tools - make, SCCS, lint<br />

and sdb; shell programming (differences between Bourne and<br />

C shell); systems programming (low level I/O, accessing the<br />

file system, creating and controlling processes,<br />

communication between processes, device control networks);<br />

system administration.<br />

Textbooks<br />

To be advised<br />

54419 Artificial Intelligence<br />

10 credit points<br />

No. <strong>of</strong> hours per week: three hours<br />

Instruction: a combination <strong>of</strong> lectures, laboratories<br />

and tutorials<br />

Assessment: a combination <strong>of</strong> assignments and<br />

examination<br />

Subject aims<br />

To give students an introduction to some <strong>of</strong> the basic<br />

concepts and tools <strong>of</strong> symbol-based artificial<br />

intelligence research and their application in expert<br />

systems.<br />

To contrast the symbol-based Al paradigm with the more<br />

recently emergent non-symbolic artificial neural network<br />

research and applications.<br />

Upon completion <strong>of</strong> the course the students should have<br />

gained an appreciation <strong>of</strong> the difficulties involved in<br />

encoding knowledge, even in restricted domains, in such<br />

a fashion that 'intelligent behaviour' can be elicited.<br />

Subject description<br />

Problem solving and search: depth first, breadth first,<br />

beam searching, hill climbing. A*, minimax.<br />

Knowledge representation: production systems, logic<br />

systems, inheritance networks, structured objectdframes.<br />

Expert systems as applied At: inference and<br />

uncertaintyknowledge acquisition.<br />

Artificial neural networks: backprop, otherarchitectures,<br />

applications.<br />

Genetic algorithms: search, optimisation, classifier<br />

systems.<br />

Machine learning.<br />

Natural language processing.<br />

Machine vision.<br />

Textbooks<br />

To be advised

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