cse4dbf database fundamentals




Credit points: 15

Subject outline

This subject starts with an overview of the architecture and management of database systems, and a discussion of different existing database models. The main focus includes relational database analysis, design, and implementation. The students learn: relational algebra as the formal foundation of relational databases; relational conceptual design using an entity-relationship diagram; relational logical database design; security and integrity; and SQL implementation of relational database queries. Students will also learn advanced normalization theory and the techniques to remove data anomalies and redundancies. In this subject, students are required to design a database application that meets the needs of a system requirement specification, and to implement the system using a commercial standard database system such as ORACLE or POSTGRESQL. In addition, a selection of advanced topics in databases will be introduced and discussed.

SchoolSchool Engineering&Mathematical Sciences

Credit points15

Subject Co-ordinatorEric Pardede

Available to Study Abroad StudentsYes

Subject year levelYear Level 4 - UG/Hons/1st Yr PG

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites CSE1OOF or CSE4OOF AND Enrolment in one of the following courses: SMIT, SMITCN, SMICT, SMCSC, SMBBS, SGBBS, SGCS, or SGIT.


Incompatible subjects CSE2DBF AND Students in the following courses are not permitted to enrol: SBCS, SBIT, SBCSGT, SVCSE, SZCSC, SBITP and SBBIY.

Equivalent subjectsN/A

Special conditionsN/A

Graduate capabilities & intended learning outcomes

01. Apply a database modelling technique using an ER and EER diagram, and use a transformation process to change these to a relational database design.

Lectures 2 and 3 are on the topics of ER/EER diagrams and the transformation methodology. In Lab 2, a set of problem statements is given to students, and they are required to design the ER/EER representation diagram. Lab 3 is on transforming the above ER/EER to a relational database design.
Related graduate capabilities and elements:
Creative Problem-solving(Creative Problem-solving)
Discipline-specific GCs(Discipline-specific GCs)
Inquiry/ Research(Inquiry/ Research)
Critical Thinking(Critical Thinking)

02. Evaluate database design in terms of data anomalies and redundancies by applying the appropriate normalization techniques.

Lecture 4 is on normalization theory. In Lab 4, a set of unnormalised relations is given to students, and they are required to identify the correct steps to normalise the relations and remove anomalies. In addition, students will have to complete a series of Moodle quizzes on normalization theory.
Related graduate capabilities and elements:
Critical Thinking(Critical Thinking)
Discipline-specific GCs(Discipline-specific GCs)

03. Implement a database system using SQL and advanced PL/SQL including stored procedures and triggers.

Lectures 6, 7, 8 are on SQL syntax and coding, stored procedures and trigger implementation and case studies. Labs 5 to Lab 11 are on database implementation, SQL queries, implementation of stored procedures and triggers.
Related graduate capabilities and elements:
Critical Thinking(Critical Thinking)
Creative Problem-solving(Creative Problem-solving)
Discipline-specific GCs(Discipline-specific GCs)

04. Explain the underlying model of relational database operations using relational algebra.

Lecture 5 is on relational algebra fundamentals, and students are required to complete a Moodle online self-test on exercises in relational algebra.
Related graduate capabilities and elements:
Quantitative Literacy/ Numeracy(Quantitative Literacy/ Numeracy)

05. Evaluate the possible risks and ethical and social considerations relevant to a designed system.

In Lab 8, a case study based on a published case from the Australian Computer Society is presented and discussed.
Related graduate capabilities and elements:
Ethical Awareness(Ethical Awareness)

Subject options

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Start date between: and    Key dates

Melbourne, 2015, Semester 1, Day


Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorEric Pardede

Class requirements

Computer LaboratoryWeek: 10 - 22
One 2.0 hours computer laboratory per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

LectureWeek: 10 - 22
Two 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.


Assessment elementComments%ILO*
3 hour examination6001, 02, 03, 04
Assignment 2 - database implementationHurdle requirment: In order to pass the subject, students must obtain an overall pass grade, pass the examination and pass the assignment component.2003
Assignment 1 - database design and normalization theory1501, 02
one class test5