Official course description, subject to change:
Preliminary info last published 15/11-19

Introduction to Database Design, MSc SD

Course info
Language:
English
ECTS points:
7.5
Course code:
KSINDAD1KU
Participants max:
125
Offered to guest students:
yes
Offered as a single subject:
yes
Price (single subject):
10625 DKK (incl. vat)
Programme
Level:
MSc. Master
Programme:
Master of Science in Information Technology (Software Design)
Staff
Course semester
Semester
Efterår 2020
Start
24 August 2020
End
31 January 2021
Exam
Exam type
ordinær
Internal/External
ekstern censur
Grade Scale
7-trinsskala
Exam Language
GB
Abstract

The course covers fundamental techniques for developing data management and data analytics applications.

Description
The course covers fundamental techniques for developing data management and data analytics applications. The main part of the course deals with traditional relational database processing, including the theory and practice of modelling and querying a database. In the latter part of the course, the focus is on new developments for both traditional database applications and for modern data analytics applications.
Formal prerequisites
This course assumes basic ability to use a computer. We also assume that a student has taken an introductory programming course. (otherwise basic programming skills in Java are expected) and a discrete math course such as Discrete Mathematic for SD (or has knowledge of basic discrete math: logic, set theory and proofs).


Intended learning outcomes

After the course, the student should be able to:

  • Write SQL queries, involving multiple relations, compound conditions, grouping, aggregation, and subqueries.
  • Use relational DBMSs from a conventional programming language in a secure manner.
  • Suggest a database design in the E-R model and convert to a relational database schema in a suitable normal form.
  • Analyze/predict/improve query processing efficiency of the designed database using indices.
  • Reflect upon the evolution of the hardware and storage hierarchy and its impact on data management system design.
  • Discuss the pros and cons of different classes of data systems for modern analytics and data science applications.
Ordinary exam
Exam type:
A: Written exam on premises, external (7-trinsskala)
Exam variation:
A22: Written exam on premises with restrictions.