- Code COMP2310
- Unit Value 6 units
- Offered by School of Computing
- ANU College ANU College of Engineering and Computer Science
- Course subject Computer Science
- Areas of interest Information Technology, Software Engineering
- Academic career UGRD
- Shoaib Akram
- Mode of delivery Online or In Person
- Co-taught Course
Second Semester 2022
See Future Offerings
In Sem 2 2022, this course is delivered on campus with adjustments for remote participation due to unavoidable COVID constraints.
This course is based on the foundations set by the previous course on computer organisation. It expands particularly into all forms of concurrent programming including aspects of massively parallel programming.
This course introduces all basic mechanisms to analyse, design, and manage concurrent, single computer-node (multicore) as well as distributed applications (e.g. as performance or dependability enhancements).
Following on from the previous course, the fields of operating systems and networking will also be expanded on. On the operating system side aspects of security, scheduling algorithms and memory management are discussed. More specific networking aspects follow on from message passing as a core concurrency construct. These include the basics of routing and dependable protocols.
Upon successful completion, students will have the knowledge and skills to:
- Model, design and program concurrent systems.
- Select appropriate modeling techniques, tools and mechanisms to solve a range of problems in concurrent and distributed systems. This includes the appropriate programming language and runtime environment for the task at hand.
- Analyse and debug concurrent programs.
- Understand the aspects of an operating system concerning scheduling, protection and memory management.
- Employ message passing locally and over networks to construct distributed systems
- Distinguish as well as connect conceptual concurrency with physical parallelism at all levels of a distributed system.
- Identify core aspects of operating systems and networks irrespective of the specific system at hand.
Professional Skills Mapping:
Mapping of Learning Outcomes to Assessment and Professional Competencies
- Assignments (30) [LO null]
- Lab Exam (5) [LO null]
- Mid-Semester Exam (15) [LO null]
- Final Exam (50) [LO null]
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Two 1.5-hour lectures and one 3-hour tutorial/lab session per week. Additional effort will be required in preparing and deepening the material of those sessions. Two major assignments require multiple days of attention each.
Requisite and Incompatibility
M. Ben-Ari, Principles of Concurrent and Distributed Programming, Addison-Wesley, second edition, 2006
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
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- 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|
|5160||25 Jul 2022||01 Aug 2022||31 Aug 2022||28 Oct 2022||In Person||View|