Data Modelling, Databases and Database Management Systems

Basic introduction to data modelling with emphasis on Entitity Relationship modelling. The relational model, relational algebra and SQL. Database construction. Normalization as a design theory for relational databases. Other database models. Storage technologies, file organization and index structures. Query processing. Database management systems (DBMS). Transactions, concurrency and recovery. Data integrity.

Learning outcome

Knowledge of:

By completion of this course, the candidate should explain:

1. Database management systems - general characteristics and system structure.

2. Data modeling with an emphasis on entity-relationship models.

3. Relational database model for database systems, database schema and data integrity.

4. Query Languages : Relational Algebra and SQL.

5. Design theory for relational databases.

6. System Design and programming using database systems.

7. Data storage, file organization and index structures.

8. Execution of database queries.

9. Transactions, concurrency, and robustness against errors.

Skills:

By completion of this course, the candidate should demonstrate:

1. Data modeling with entity-relationship model.

2. Realization of relational databases.

3. Database-Oriented Programming: SQL, relational algebra and database programming in Python.

4. Evaluation and improvement of relational database schema based on normalization theory.

5. Analysis and optimization of the performance of database systems.

General qualifications:

By completion of this course, the candidate should explain / demonstrate:

1. Knowledge of applications of database systems and understanding of the benefits and limitations of such systems.

2. Modelling and analytical approach to computer technical problems.

The course consists of lectures, exercises, project work and self-tuition.

There are mandatory exercises which must be completed.