DS806: Database Systems
Study Board of Science
Teaching language: Danish or English depending on the teacher, but English if international students are enrolled
EKA: N340064102
Assessment: Second examiner: External
Grading: 7-point grading scale
Offered in: Odense
Offered in: Spring
Level: Master
STADS ID (UVA): N340064101
ECTS value: 5
Date of Approval: 01-11-2022
Duration: 1 semester
Version: Approved - active
Entry requirements
The course cannot be taken by students enrolled in the master programme in Computer Science
The course cannot be followed if the student has passed DM505, DM564 or DM576, or if the student has DM505, DM564 or DM576 mandatory in their curriculum.
The course cannot be followed if the student has passed DM505, DM564 or DM576, or if the student has DM505, DM564 or DM576 mandatory in their curriculum.
Academic preconditions
Course introduction
The purpose of this course is to give the student theoretical skills and practical experience in the use, design, and implementation of a relational database.
The course builds on the knowledge acquired in the course DS800 introduction to data processing.
The course builds on the knowledge acquired in the course DS800 introduction to data processing.
In relation to the learning outcomes of the degree the course has explicit focus on:
- giving the competence to plan and design a relational database
- knowledge of structured querying and manipulating relational databases
- application of a relational database system to model real world data
- developing skills in the programming of database applications
- skills to identify own learning needs and to structure own learning in different learning environments
Expected learning outcome
The learning objectives of the course is that the student demonstrates the ability to:
- design a suitable conceptual model for a database, on the basis of a problem description
- transform a conceptual model for a database into a suitable relational model
- write SQL queries for a relational database
- optimize
a relational database through choice of indexes, use of equivalent
SQL-expressions, and use of the theory of normal forms - access a database from an application program.
- describe work done on the above subjects in clear and precise language, and in a structured fashion
- justify design conditions
- describe, formulate and communicate issues and results to specialists and non-specialists, or project partners and end users
Content
The following main topics are contained in the course:
- Relational databases
- database design (conceptual data modelling, normal forms)
- relational algebra
- SQL
- database access from application programs
- database systems
Literature
Examination regulations
Exam element a)
Timing
Spring
Tests
1-day take-home exam
EKA
N340064102
Assessment
Second examiner: External
Grading
7-point grading scale
Identification
Full name and SDU username
Language
Normally, the same as teaching language
Duration
24 hours
Examination aids
To be announced during the course
ECTS value
5
Additional information
None.
Re-examination
Assessment
Second examiner: Internal
Grading
7-point grading scale
Identification
Student Identification Card
Language
Normally, the same as teaching language
Examination aids
Will be announced prior to the exam
ECTS value
5
Additional information
Oral re-examination.
Indicative number of lessons
Teaching Method
The course consists of partially interactive lectures (22 hours), exercise sessions (20 hours), and reading and study activities at home or in study groups.
Teacher responsible
| Name | Department | |
|---|---|---|
| Panagiotis Tampakis | ptampakis@imada.sdu.dk | Institut for Matematik og Datalogi |
Timetable
Administrative Unit
Team at Educational Law & Registration
Offered in
Recommended course of study
Transition rules
Transitional arrangements describe how a course replaces another course when changes are made to the course of study.
If a transitional arrangement has been made for a course, it will be stated in the list.
See transitional arrangements for all courses at the Faculty of Science.