• 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
  • Course convener
    • Dr Uwe Zimmer
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in Second Semester 2020
    See Future Offerings

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.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

Upon completion of this course, the student will be able to:
  1. Model, design and program concurrent systems.
  2. 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.
  3. Analyse and debug concurrent programs.
  4. Understand the aspects of an operating system concerning scheduling, protection and memory management.
  5. Employ message passing locally and over networks to construct distributed systems
  6. Distinguish as well as connect conceptual concurrency with physical parallelism at all levels of a distributed system.
  7. Identify core aspects of operating systems and networks irrespective of the specific system at hand.


 

Indicative Assessment

Assignments (40%); Mid-semester exam (10%), Final exam (50%).



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Workload

Two 1.5 hour lectures and one 2 hour tutorial/lab session per week. Additional effort will be required in preparing and deepening the material of those sessions. Two major assignments requier multiple days of attention each.

Requisite and Incompatibility

To enrol in this course you must have completed (COMP1130 or COMP1140 or COMP1110 or COMP1510) and COMP2300. Incompatible with COMP6310.

Prescribed Texts

M. Ben-Ari, Principles of Concurrent and Distributed Programming, Addison-Wesley, second edition, 2006

Majors

Fees

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. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
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.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2020 $4320
International fee paying students
Year Fee
2020 $5760
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
7181 27 Jul 2020 03 Aug 2020 31 Aug 2020 30 Oct 2020 In Person N/A

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