Objectives of Programme's Learning Outcomes

• Understand the fundamentals of computer science
• Solve exercises and computer problems by applying basic knowledge in the various disciplines of computer science
• Use and combine knowledge from different disciplines to solve multidisciplinary problems
• Understand computer technologies
• Understand the IT involved in the different stages of the life of a computer application
• Demonstrate basic knowledge and know-how in related fields
• Demonstrate knowledge and basic skills in science and technology.
• Manage IT projects
• Creatively implement knowledge and expertise gained in the field of computer science.
• Apply appropriate technological and scientific ICT approaches
• Understand the fundamentals related to scientific methods
• Develop skills of abstraction and modelling through a conceptual and scientific approach

Learning Outcomes of UE

This course introduces the principles of model-driven object-oriented software development. At the end of the course, the student should:
- understand the importance, needs and specificities of software engineering activities (such as requirements analysis, design, implementation and testing);
- understand the importance and principles of software modeling, model simulation, model execution and code generation;
- use the UML modeling language for analysing and designing software systems;
- use advanced object-oriented software development concepts such as design patterns;
- understand the importance of software testing, and be able to use unit testing in practice. 

UE Content: description and pedagogical relevance

This teaching unit (UE) is composed of two learning activities (AA), each counting for 50% of the final grade of the teaching unit. See details of the contents and evaluation criteria of each AA in their corresponding ECTS sheets.

The first learning activity focuses on the aspects of object-oriented software modelling using the UML modelling language. The following visual notations (diagrams) will be studied in theory and put into practice: use case diagrams and semi-structured usage scenarios, class diagrams, sequence diagrams, interaction diagrams, behavioural state diagrams. If time permits, more advanced software modeling techniques will be studied, such as metamodeling, model simulation and executable modeling.

The second learning activity focuses on advanced aspects of model-driven object-oriented development, using a recent version of the Java programming language. This activity will address mainly object-oriented design patterns and software testing (e.g. unit testing, mock testing, behaviour-driven testing). If time permits, we will also explore the generation of object-oriented source code from models, as well as synchronisation between code and models.

Prior Experience

The student should have a good prior knowledge of the object-oriented programming paradigm, as well as basic practical experience with a recent version of the Java programming language.