An introduction to database systems, database design, relational databases and database management systems.
The course deals with data models and database systems and has been designed to enable you to understand the theoretical basis of databases and be able to apply that knowledge in developing and using relational databases. The lectures are organized around the database design lifecycle, while in the labs students go through the process of developing small databases from given requirements. This course is a prerequisite for SENG365 (Web Computing Architectures).
After completing this course, students will be able to
- design databases well
- use relational algebra to query databases
- use SQL to query, define, populate, update and manage databases
- understand the functions of Relational Database Management Systems
There will be three lectures per week (times to be announced), which will be given by Prof Tanja Mitrovic (email email@example.com). Labs will be held in lab 2 (Erskine). Please see information in Learn related to tutorials.
Depending on final student numbers, some of the advertised lab/tutorial streams may not run. Final lab/tutorial options will be available for self-allocation closer to the start of the semester through My Timetable.
18 Aug 2016
29 Sep 2016
No assignments will be accepted after the drop dead date (i.e. a week after the assignment is due). The penalty for the late submission of an assignment will be an absolute deduction of 15% of the maximum possible mark.
Elmasri, Ramez. , Navathe, Sham;
Fundamentals of database systems;
Pearson/Addison Wesley, 2007.
Previous editions of the same textbook are also suitable.
The COSC265 lecture notes and all additional material will be available via Learn.
COSC265 handouts will be available in Learn.
There are several important documents available online about departmental regulations, policies and guidelines at the following site. We expect all students to be familiar with these.
Notices about this class will be posted to the class forum in the Learn system.
COSC students will also be made members of a class called “CSSE Notices”, where general notices will be posted that apply to all classes (such as information about building access or job opportunities).
Additional Course Outline Information
The Computer Science department's grading policy states that in order to pass a course you must meet two requirements:
1. You must achieve an average grade of at least 50% over all assessment items.
2. You must achieve an average mark of at least 45% on invigilated assessment items.
If you satisfy both these criteria, your grade will be determined by the following University- wide scale for converting marks to grades: an average mark of 50% is sufficient for a C- grade, an average mark of 55% earns a C grade, 60% earns a B- grade and so forth. However if you do not satisfy both the passing criteria you will be given either a D or E grade depending on marks. Marks are sometimes scaled to achieve consistency between courses from year to year.
Students may apply for special consideration if their performance in an assessment is affected by extenuating circumstances beyond their control.
Applications for special consideration should be submitted via the Examinations Office website within five days of the assessment.
Where an extension may be granted for an assessment, this will be decided by direct application to the Department and an application to the Examinations Office may not be required.
Special consideration is not available for items worth less than 10% of the course.
Students prevented by extenuating circumstances from completing the course after the final date for withdrawing, may apply for special consideration for late discontinuation of the course. Applications must be submitted to the Examinations Office within five days of the end of the main examination period for the semester.
Week - Lecture topic - Lab/Tutorial
1 - Database systems, database design lifecycle -No labs
2 - Conceptual database design - Tutorial 1
3 - Relational data model - EER-Tutor
4 - Relational algebra, SQL DDL - Tutorial 2
5 - SQL Queries - Lab 1
6 - SQL Queries and DML - Lab 2
7 - SQL triggers SQL-Tutor
8 -Data normalization - Lab 3
9 - Physical level - Lab 4
10 - Catalog, Transaction Processing - Lab Test
11 - Query optimization - Tutorial 3
12 - Course review - Tutorial 4
* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.
For further information see
Computer Science and Software Engineering.
All COSC265 Occurrences
Semester Two 2016