Master of Engineering in Distributed Computing

Course 781AA (2014)

Note: This is an archived Handbook entry from 2014.

Year and Campus:	2014
CRICOS Code:	054324M
Fees Information:	Subject EFTSL, Level, Discipline & Census Date
Level:	Graduate/Postgraduate
Duration & Credit Points:	200 credit points taken over 24 months

Coordinator

Professor Rajkumar Buyya

Contact

Melbourne School of Engineering
Ground Floor, Old Engineering (Building 173)

Current Students:
Email: 13MELB@unimelb.edu.au
Phone: 13 MELB (13 6352)
+61 3 9035 5511

Course Overview:	THERE IS NO FURTHER ENTRY INTO THIS COURSE The Master of Engineering in Distributed Computing (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 the 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
Learning Outcomes:	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) consist of subjects which 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 course coordinator, subjects in Group A and B may be substituted with other suitable studies. Entry Level 1: 200 points comprising of 4 subjects from Group A, 10 subjects from Group B and 1 subject from Group C Entry Level 2: 150 points comprising of 10 subjects from Group B and 1 subject from Group C Entry Level 3: 200 points comprising of 6 subjects from Group B and 1 subject from Group C NB Some subjects are offered in alternative years. GROUP A Foundation subjects: 50 points. Compulsory for Entry Level 1 students Subject Study Period Commencement: Credit Points: COMP90041 Programming and Software Development Semester 1, Semester 2 12.50 COMP90038 Algorithms and Complexity Semester 1, Semester 2 12.50 COMP90007 Internet Technologies Semester 1, Semester 2 12.50 COMP30017 Operating Systems and Network Services Not offered in 2014 12.50 GROUP B subjects Entry Level 1 and 2 - 125 points Entry Level 3 - 75 points B1: Core 25 points: Subject Study Period Commencement: Credit Points: COMP90015 Distributed Systems Semester 1, Semester 2 12.50 SWEN90003 IT Project Management Not offered in 2014 12.50 B2: Strongly Recommended Electives: Subject Study Period Commencement: Credit Points: SWEN90002 Engineering for Internet Applications Not offered in 2014 12.50 COMP90024 Cluster and Cloud Computing Semester 1 12.50 COMP90017 Sensor Networks and Applications Not offered in 2014 12.50 COMP90020 Distributed Algorithms Semester 1 12.50 COMP90018 Mobile Computing Systems Programming Semester 2 12.50 COMP90025 Parallel and Multicore Computing Semester 2 12.50 B3: Electives: Subject Study Period Commencement: Credit Points: COMP90016 Computational Genomics Semester 1 12.50 COMP90048 Declarative Programming Semester 2 12.50 COMP90049 Knowledge Technologies Semester 1, Semester 2 12.50 COMP90043 Cryptography and Security Semester 2 12.50 COMP90051 Statistical and Evolutionary Learning Semester 2 12.50 COMP90050 Advanced Database Systems Semester 1 12.50 COMP90042 Web Search and Text Analysis Semester 1 12.50 COMP90043 Cryptography and Security Semester 2 12.50 COMP90045 Programming Language Implementation Semester 1 12.50 COMP90053 Program Analysis and Transformation Not offered in 2014 12.50 COMP90046 Constraint Programming Semester 2 12.50 COMP90054 Software Agents Semester 2 12.50 GROUP C core: 25 points Subject Study Period Commencement: Credit Points: COMP90019 Distributed Computing Project Semester 1, Semester 2 25
Entry Requirements:	There is no further entry into this course. 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 Language Requirements Please check the University English language requirements The Melbourne School of Engineering's English Language alternative may affect the duration and cost of your course .
Core Participation Requirements:	For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry. It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://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
Generic Skills:	An Engineering graduate has a unique skill set comprising a blend of technical, business and interpersonal skills. Upon completion of the Bachelor of Engineering at the University of Melbourne, students will have strong analytical skills, the ability to lead teams and projects and the creativity to look at problems in a way that provides innovative solutions. Our graduates are known for their high standards and professionalism, their understanding of global issues and their outstanding communication skills. For details, see "Objectives".

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