Module Software Engineering and Distributed Systems 2, Media and Communication Computer Science (Bachelor) (ER 2)

Module summary

Module name

Software Engineering and Distributed Systems 2

Internal number

MKIB510

Coordinator

Prof. Dr. Thomas Fuchß

Extent (ECTS/SWS)

8/7

Semester

5th Semester

Pre-requisites with regard to content

Praxistätigkeit, Technologien des Internets, Mensch-Maschine-Kommunikation 1, Informatik 2, Datenbanken und Kommunikationsnetze 1

Pre-requisites according to the examination regulations

Basic study period

Competencies

Having successfully completed the module, students are able to work productively and independently on software projects of various sizes. They will be able to analyze and structure tasks as well as develop solutions independently, justify their decisions and document them in a comprehensible manner. They also explain general concepts of architectures, especially for distributed software systems, and apply them constructively. Students recognize the central requirements and challenges of such systems and develop suitable solutions. They will be able to explain concepts such as modularity, communication, fault tolerance and security and incorporate them constructively into the development of comprehensive software systems.

They have further developed their technical, social and personal skills as well as their communication skills and self-management. They have learned to apply these new skills in the context of software projects.

Assessment

Written Exam 120 Min. (graded)

Course Distributed Systems 2

Internal number

MKIB512.a

Type/mode

Lecture

Lecturer

Prof. Dr. Christian Zirpins

Language of instruction

German

Extent (ECTS/SWS)

3/3

90 hours in total, including 45 hours of contact study.

Assessment

Module exam

Content

The lecture conveys both fundamental and extended principles of distributed systems and illustrates these in practical form on the basis of concrete paradigms and technologies. The spectrum of principles covered includes fundamental aspects of the objectives and classes of distributed systems, as well as their architectures, processes, communications, and naming. Advanced principles include coordination, consistency and replication, fault tolerance and security. The covered principles are exemplified by various paradigms. Here, exemplary implementations of individual principles are presented. In addition, an introduction to the development of corresponding systems based on concrete software technologies is given.

Upon completing this lecture class, students will achieve a comprehensive understanding of the principles underlying distributed systems, ranging from their fundamental objectives and architectures to advanced concepts such as coordination, consistency, replication, fault tolerance, and security. They will gain insights into the practical application of these principles through the examination of specific paradigms and technologies, enhancing their ability to analyze and design distributed systems. Moreover, the introduction to developing these systems using concrete software technologies will equip students with the practical skills necessary for implementing robust, efficient, and secure distributed systems in various computing environments.

Recommended reading

Andrew S. Tannenbaum, Marten van Steen, "Verteilte Systeme, Prinzipien und Paradigmen", 2. aktualisierte Auflage, Pearson Studium, 2008, ISBN 978-3-8273-7293-2
George Coulouris, Jean Dollimore, Tim Kindberg, Gordon Blair, "Distributed Systems, Concepts and Design", Fifth Edition, Addison-Wesley, 2012, ISBN 978-0-13-214301-1
Additional literature will be announced during the lecture

Comments

Autonomous work includes pre- and post processing of lectures, exercises and exam preparation.

Course Software Engineering

Internal number

MKIB512.b

Type/mode

Lecture

Lecturer

Prof. Dr. Thomas Fuchß

Language of instruction

German

Extent (ECTS/SWS)

2/2

60 hours in total, including 30 hours of contact study.

Assessment

Module exam

Content

The course "Software Engineering" builds on the practical experience students have gained during their internships and introduces techniques and methods for structured large-scale software development. The lecture begins with a review and consolidation of fundamental concepts such as objects, classes, associations, methods, inheritance, and polymorphism to ensure a solid understanding of the basics. It then focuses on the challenges of modern software development processes and structured approaches to address them effectively.

Students learn how to integrate agile methodologies, such as Scrum, with established process models like the Unified Software Development Process to manage complex software projects. UML is introduced as a core modeling language to document development decisions and facilitate clear communication. Particular emphasis is placed on understanding the complexities of large-scale systems and applying structured methods and processes to address these challenges.

Throughout the course, students develop the ability to work independently in agile environments, make informed development decisions, and document these decisions methodically. Theoretical concepts are complemented by practical examples that help bridge the gap between theory and real-world applications.

In the associated lab, students apply the knowledge gained in the lecture to various example projects. They conduct the first iteration of a software development process, practicing teamwork, the use of agile methods, and professional documentation with UML.

Module Software Engineering and Distributed Systems 2, Media and Communication Computer Science (Bachelor) (ER 2)

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