Master of Engineering in Distributed Computing

Course 781AA (2011)

Note: This is an archived Handbook entry from 2011.

Year and Campus:	2011 - Parkville
CRICOS Code:	054324M
Fees Information:	Subject EFTSL, Level, Discipline & Census Date
Level:	Graduate/Postgraduate
Duration & Credit Points:	200 credit points taken over 24 months full time. This course is available as full or part time.

Coordinator

Professor Rajkumar Buyya

Contact

Melbourne School of Engineering
courseinfo@eng.unimelb.edu.au

http://www.eng.unimelb.edu.au

Course Overview:	The MEDC addresses demand from the emerging information and communication technology (ICT) market with a knowledge emphasis on the use of industry standard and Internet-based distributed computing technologies in the development of networked enterprise systems and their applications. The key aspects of this Masters program are: it has been designed to provide expertise for developing service-oriented, enterprise computing systems and applications that need to operate in wired/wireless network environments. These enterprise systems can scale from a single to multiple organisations it promotes the utilisation of industry standard distributed computing technologies such as J2EE and .NET about half of the course focuses on highly specialised distributed computing topics such as: distributed systems, cluster and grid computing, distributed algorithms, mobile systems programming, sensor networks and Web services it includes a compulsory team-based project work that emphasises the design and development of distributed computing technologies and their application in e-Science and e-Business areas
Objectives:	The program is designed to: Provide expertise for developing service-oriented, enterprise computing systems and applications that need to operate in wired/wireless network environments. These enterprise systems can scale from a single to multiple organisations Promote the utilisation of industry standard distributed computing technologies such as J2EE and .NET Focus on highly specialised distributed computing topics such as: distributed systems, cluster and grid computing, distributed algorithms, mobile systems programming, sensor networks and Web services
Course Structure & Available Subjects:	Please see course advisor in the School of Engineering for subject selection.
Subject Options:	Group A subjects (foundation studies) consists of subjects that bring students up-to-date with advanced computer science concepts, techniques and tools. Group B subjects offer advanced study in distributed computing technologies and its applications, and includes a number of new and existing subjects. MEDC students should study at least four subjects from subgroup B2 in addition to the compulsory subject from subgroup B1 (COMP90015). Group C subjects offer an opportunity for students to carry out a solid practice-oriented or research-oriented project in distributed computing. Selection of projects will be on an individual or team basis, depending on student background and availability of supervision. With permission from the Program Director, subjects in Group A and B may be substituted by other suitable studies. Entry Level 1: 4 subjects from Group A, 10 subjects from Group B and 1 subject from Group C Entry Level 2: 10 subjects from Group B and 1 subject from Group C Entry Level 3: 6 subjects from Group B and 1 subject from Group C. GROUP A Foundation subjects: Subject Study Period Commencement: Credit Points: COMP90041 Programming and Software Development Not offered in 2011 12.50 COMP30017 Operating Systems and Network Services Not offered in 2011 12.50 COMP90038 Algorithms and Complexity Not offered in 2011 12.50 COMP90007 Internet Technologies Not offered in 2011 12.50 GROUP B subjects B1: Core and Compulsory Subject Study Period Commencement: Credit Points: COMP90015 Distributed Systems Not offered in 2011 12.50 SWEN90003 IT Project Management Not offered in 2011 12.50 B2: Core and Recommended Subject Study Period Commencement: Credit Points: SWEN90002 Engineering for Internet Applications Not offered in 2011 12.50 COMP90017 Sensor Networks and Applications Not offered in 2011 12.50 COMP90024 Cluster and Grid Computing Not offered in 2011 12.50 COMP90054 Software Agents Not offered in 2011 12.50 B3: Electives Subject Study Period Commencement: Credit Points: COMP90010 Web Technologies and Applications Semester 1 12.50 COMP90016 Computational Genomics Not offered in 2011 12.50 COMP90048 Declarative Programming Not offered in 2011 12.50 COMP90049 Knowledge Technologies Not offered in 2011 12.50 COMP90054 Software Agents Not offered in 2011 12.50 COMP90051 Statistical and Evolutionary Learning Not offered in 2011 12.50 GROUP C subjects Subject Study Period Commencement: Credit Points: COMP90019 Distributed Computing Project Not offered in 2011 25
Entry Requirements:	The MEDC program offers three different entry levels which are determined by academic background and work experience in computing. Entry Level 1 (200 points) A three-year undergraduate degree in Science or Engineering including mathematics and at least one programming subject with a final year grade average of at least 65% and two years of relevant documented work experience or A four-year degree in Science or Engineering including mathematics and at least one programming subject with a final year grade average of at least 65%. Entry Level 2 (150 points) A three-year undergraduate degree in Computer Science, Computer Engineering, Software Engineering, Information Technology or related discipline with a final year average grade of at least 65% and at least two years of relevant documented work experience or A four-year undergraduate degree in Computer Science, Computer Engineering, Software Engineering, Information Technology or related discipline with a final year average grade of at least 65%. Entry Level 3 (100 points) A three-year undergraduate degree in Computer Science, Computer Engineering, Software Engineering, Information Technology or related discipline with a final year average grade of at least 65% and studies in parallel and distributed computing related subjects at an advanced level and two years of relevant documented work experience or A four-year undergraduate degree in Computer Science, Computer Engineering, Software Engineering, Information Technology or related discipline with a final year average grade of at least 65% and studies in parallel and distributed computing related subjects at an advanced undergraduate level. English Language Requirements TOEFL (577 + TWE 4.5) IELTS (6.5 Written 6.0) Students with less than 6.5 IELTS may gain admission with 6.0 and are required to undertake and pass an English language subject as an additional subject to the degree.
Core Participation Requirements:	For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this course are articulated in the Course Overview, Objectives and Generic Skills sections of this entry. The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/
Graduate Attributes:	Graduate Attributes: Ability to undertake problem identification, formulation, and solution Ability to utilise a systems approach to complex problems and to design and operational performance Capacity for creativity and innovationAbility to manage information and documentation

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