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Event
Applied Informatics - Software Engineering [SS202511206]
Lecturers
Organisation
- Institut für Angewandte Informatik und Formale Beschreibungsverfahren
Part of
Literature
- H. Balzert. Lehrbuch der Software-Technik. Spektrum Verlag 2008.
- I. Sommerville. Software Engineering. Pearson Studium 2012.
Weitere Literatur wird in der Vorlesung bekannt gegeben.
Appointments
- 21.04.2020 08:00 - 09:30 - Room: 11.40 Raum -116
- 28.04.2020 08:00 - 09:30 - Room: 11.40 Raum -116
- 05.05.2020 08:00 - 09:30 - Room: 11.40 Raum -116
- 12.05.2020 08:00 - 09:30 - Room: 11.40 Raum -116
- 19.05.2020 08:00 - 09:30 - Room: 11.40 Raum -116
- 26.05.2020 08:00 - 09:30 - Room: 11.40 Raum -116
- 02.06.2020 08:00 - 09:30 - Room: 11.40 Raum -116
- 09.06.2020 08:00 - 09:30 - Room: 11.40 Raum -116
- 16.06.2020 08:00 - 09:30 - Room: 11.40 Raum -116
- 23.06.2020 08:00 - 09:30 - Room: 11.40 Raum -116
- 30.06.2020 08:00 - 09:30 - Room: 11.40 Raum -116
- 07.07.2020 08:00 - 09:30 - Room: 11.40 Raum -116
- 14.07.2020 08:00 - 09:30 - Room: 11.40 Raum -116
- 21.07.2020 08:00 - 09:30 - Room: 11.40 Raum -116
Note
The course deals with fundamental aspects of the systematically development of huge software systems. The course covers topics such as:
- software developing process models
- methods and tools for the development phases: requirements analysis, system specification, system design, programming and testing.
Learning objectives:
Students
- are familiar with the concepts and principles of software engineering and can discuss it,
- know common software development process models and their strengths and weaknesses and can discuss it,
- know methods for requirements analysis and can use it and can model and evaluate use case models,
- know models for systems structuring and controling as well as architecture principles of software systems and can discuss it.
- can model and evaluate component diagrams
- are familiar with basic concepts of software quality management and are able to apply software test and evaluation methods in concrete situations.
Workload:
- Lecture 30h
- Exercise 15h
- Preparation of lecture 24h
- Preparation of exercises 25h
- Exam preparation 40h
- Exam 1h