- Code COMP2310
- Unit Value 6 units
- Offered by Research School of Computer Science
- ANU College ANU College of Engineering and Computer Science
- Course subject Computer Science
- Areas of interest Information Technology, Software Engineering
- Academic career UGRD
- Dr Peter Strazdins
- Mode of delivery In Person
Second Semester 2014
See Future Offerings
This course is concerned with aspects of computation beyond sequential programs. Concurrency occurs naturally in most real-world applications and is also strongly suggested by any modern computer architecture. Working professionally in computing today thus means to be able to handle those challenges and to employ the available hardware to the fullest. This course introduces all basic mechanisms to analyse, design, and manage single computer as well as distributed applications. Topics addressed include: Basics of concurrency and its modelling, Mutual exclusion, Condition synchronization, Safety and liveness, Message passing, Architectures including operating systems and Distributed systems including networks, transactions and replications.
Upon successful completion, students will have the knowledge and skills to:
Upon completion of this course, the student will be able to:
- Describe the concepts involved in the construction of concurrent and distributed systems
- "Speak the language" of concurrent modelling, design and programming
- Select appropriate modelling techniques and mechanisms and apply them to the solution of problems in concurrent and distributed systems.
- Select the appropriate programming language and environment for the task at hand.
- Write scalable, concurrent modules which show the intended and predictable behaviours.
- Analyse and debug small to medium scale concurrent programs.
Assignments (40%); Mid-Semester Exam (10%); Practical Exercises (10%); Final Exam (50%)
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Thirty one-hour lectures, nine two-hour tutorials/laboratory sessions.
Requisite and Incompatibility
Jeff Magee and Jeff Kramer, Concurrency: State Models and Java Programming, 2nd edn, Wiley, 2006.Ben-Ari, M.Principles of Concurrent and Distributed Programming. Prentice Hall, 1990.A.D. Kshemkalyani and M. Singhal, Distributed Computing: Principles, Algorithms, and Systems, Cambridge University Press, March 2011.George Coulouris, Jean Dollimore, Tim Kindberg and Gordon Blair, Distributed Systems Concepts and Design, Fifth Edition, Addison Wesley, May 2011
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Students continuing in their current program of study will have their tuition fees indexed annually from the year in which you commenced your program. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
- Domestic fee paying students
- International fee paying students
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|6889||21 Jul 2014||01 Aug 2014||31 Aug 2014||30 Oct 2014||In Person||N/A|