• Offered by Research School of Computer Science
  • ANU College ANU College of Engineering and Computer Science
  • Classification Transitional
  • Course subject Computer Science
  • Academic career PGRD
  • Course convener
    • Dr Uwe Zimmer
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in Second Semester 2019
    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.
  8. Reflect critically on current concurrent and distributed systems tools and their limitations.

Indicative Assessment

  1. Assignments (40%)
  2. Mid-semester exam (10%)
  3. Final exam (50%)

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Workload

Thirty one-hour lectures, nine two-hour tutorials/laboratory sessions

Requisite and Incompatibility

To enrol in this course you must have completed (COMP6300 or exemption) and (COMP6700 or COMP6710 or exemption). You will not be able to enrol in the course if you have completed COMP2310.

Preliminary Reading

See prerequisites

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
2019 $4320
International fee paying students
Year Fee
2019 $5700
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
7665 22 Jul 2019 29 Jul 2019 31 Aug 2019 25 Oct 2019 In Person N/A

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