After successful completion of the course, students are able to

• interpret concepts of ER- and EER- models as well as the relational data model and apply them in order to express given facts;
• abstract relevant concepts from a situation described in natural language, model them in ER- and EER- diagrams and derive relational schemas from such models;
• devise relational schemas (including mechanisms for guaranteeing given integrity constraints on the data) and to implement them in SQL on a relational database management system (RDBMS);
• assess and improve the quality of a relational schema;
• manipulate and query data stored under a relational schema using SQL;
• comprehend and independently formulate database queries in SQL, the Relational Algebra, and the Relational Calculus (this includes being able to formalize requests/queries given as natural language);
• develop and apply procedures in a procedural database programming language;
• evaluate properties of parallel transactions and to identify problems caused by parallel processing of transactions;
•  systematically apply different isolation levels;
• execute and understand the presented methods and concepts for recovery and concurrency control.

• Semantic Data Modelling; EER-diagrams
• The Relational Model (Basics, Translation using EER-diagrams)
• Relational Query Languages
• Relational Algebra
• Relational Calculus
• SQL
• Design Theory for Relational Databases (Functional Dependencies, Normalforms)
• Database programming (with pgSQL)
• SQL-extensions
• Transactions
• error handling / recovery
• concurrency control

• This course will be held in presence.
• This course is offered in a blocked format: The lecture part (not the exercises) will end about 4 weeks before the lecturing period ends.
• This course will be held both in English and in German: the lectures, the exercise, and the exams will be available in both languages.
• The topics of the course are presented during the lectures. (The english lecture is presented through recordings, not live presentations)
• In the exercise part of the course, the application of the presented methods, concepts, and algorithms are trained.
• The exercise part consists of exercise sheets, which are solved by the students as homework and handed in.
• Practicing the formulation of SQL queries is done in an online tool.
• Ahead of the deadlines questions can be asked in the forum, teaching assistants will answer them there.
• Exercises are discussed and checked by teaching assistants.

ECTS Breakdown:

 30h   lectures
 30h   preparation for and repetition of lectures
 52h   solving exercise sheets
  0,5h exercise interviews
 34h exam preparation
  3,5h   exam
------------------
150h (= 25h * 6ECTS)

The final evaluation is based on the performance in the exercise part and two written exams.

All registrations from students from Informatics, Business Informatics, Mathematics, and Data Science Master will be confirmed. Confirmations of registrations from other studies depend on capacity.

There are no formal prerequisites for this course. However, it is strongly recommended to take the courses EP1 and GDS before this course.