• Offered by School of Computing
  • ANU College ANU College of Engineering Computing & Cybernetics
  • Course subject Computer Science
  • Areas of interest Information Technology, Algorithms and Data
  • Academic career PGRD
  • Course convener
    • AsPr Patrik Haslum
    • AsPr Qing Wang
    • Dr Quanling Deng
    • Prof Graham Williams
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2024
    Second Semester 2024
    See Future Offerings
  • STEM Course

This course is an introduction to relational databases and the general skills for designing and using them. The topics include the relational data model, SQL, entity-relationship model,functional dependencies,(de-)normalisation, relational algebra, query processing and optimisation, database transactions and security. To deepen the understanding of relational databases, the current industry development of database systems such as NoSQL databases will be introduced at the end of this course.    

Learning Outcomes

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

  1. Describe the basic concepts of the relational model and understand its mathematical foundation;
  2. Use the SQL language to define, query and manipulate a relational database;
  3. Apply conceptual database modelling methods such as entity-relationship model to design a relational database;
  4. Apply database design methods on functional dependencies and normal forms to evaluate the quality of a relational database design;
  5. Understand query processing and optimization, transaction and security management in a relational database management system.
  6. Understand the state of the art of database management systems, and big data management challenges (Amazon's Dynamo, Google's BigTable, MongoDB and MapReduce).

Other Information

More information may be available for enrolled students on the course website on Wattle

Indicative Assessment

  1. Quizzes and labs (5) [LO 1,2,3,4,5,6]
  2. Assignments and test (35) [LO 1,2,3,4,5,6]
  3. Final Exam (60) [LO 1,2,3,4,5]

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

30 one-hour lectures and 8 two-hour tutorial/laboratory sessions plus self study to a total of 130 hours.

Inherent Requirements

Not applicable

Requisite and Incompatibility

You are not able to enrol in this course if you have successfully completed COMP2400. Incompatible with COMP7240.

Prescribed Texts

Fundamentals of Database Systems, R. Elmasri and S. Navathe, 7th Edition (Global Edition), Pearson, 2017

Assumed Knowledge

COMP1100 or COMP1710 or INFS1001 or COMP1130

Fees

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:
2
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.

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
2024 $4980
International fee paying students
Year Fee
2024 $6360
Note: Please note that fee information is for current year only.

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.

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.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
4285 19 Feb 2024 26 Feb 2024 05 Apr 2024 24 May 2024 In Person View

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
9218 22 Jul 2024 29 Jul 2024 31 Aug 2024 25 Oct 2024 In Person N/A

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