Introduction to Database Systems, DS (Autumn 2024)

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 Python are expected) and a discrete math course (or has knowledge of basic discrete math: logic and set theory). The course Introduction to Data Science and Programming satisfies both these requirements.

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-point scale)
Exam variation:
A22: Written exam on premises with restrictions.