Details

Lecture contents

Software Engineering Project 1 enables students to implement the knowledge acquired during their studies in a concrete project. In the first semester, a concrete problem is analyzed and a design for the software solution is worked out using Advanced Project Management methods. This solution will then be implemented in the software project in the second semester.
The LV covers in particular the following contents:
- Application of modern project management methods to a concrete project Formulation
- , classification and prioritization of requirements for a concrete problem Use of
- UML diagrams (Use Case, class, activity and sequence diagrams) for software design design to meet requirements Structured
- and standardized documentation of results as a high-level design document that serves as a basis for implementation
.

Assessment methods

Final exam
Module testing, project submission

Teaching methods

Group work, practical project implementation accompanied by exercises and coaching

Language

German

Lecture contents

Students work individually or in small groups on projects related to software design and software engineering technologies and applications in the context of university R&D activities or within the scope of their individual professional activities. These projects are the practice-relevant basis for the master theses.

Assessment methods

Continuous assessment
Project progress, proof of function, project presentation

Language

German-English

Lecture contents

The interconnection of millions of smart objects in the Internet of Things (IoT) requires platforms and applications that enable the connection of such a large number of devices as well as provide data management and analysis tools for the resulting data volumes (big data). In this course, students learn about the architectures, technologies and tools of IoT platforms and develop and implement their own IoT applications.
The course covers the following contents in particular:
- SCADA applications
- Open Source IoT applications
- IoT application architecture and design
- Data types of the IoT
- Big Data Analytics Tools and Technologies
- IoT Cloud & Edge Streaming Analytics

Assessment methods

Final exam
Theoretical examination
Project work (individual work)

Teaching methods

Lecture, practical exercises, project work

Language

English

Lecture contents

The interconnection of millions of smart objects in the Internet of Things (IoT) requires platforms and applications that enable the connection of such a large number of devices as well as provide data management and analysis tools for the resulting data volumes (Big Data). In this course, students learn about the architectures, technologies and tools of IoT platforms and develop and implement their own IoT applications.
The course covers the following contents in particular:
- SCADA applications
- Open Source IoT applications
- IoT application architecture and design
- Data types of the IoT
- Big Data Analytics Tools and Technologies
- IoT Cloud & Edge Streaming Analytics

Assessment methods

Final exam
Theoretical examination
Project work (individual work)

Teaching methods

Lecture, practical exercises, project work

Language

English

Lecture contents

Digital networks and the applications based on them dominate all business processes and also private areas of life today. The protocols of the transport and application layers of the IP protocol stack form the basis for these network applications. User acceptance and thus the success of a network application is essentially determined by its scalability and performance, in addition to its usability. The chosen protocols and the architecture of a network application are decisive for this.
The course covers the following contents in particular:
- Basic concepts of network applications
- Server-client, peer-to-peer and mixed architectures for network applications
- Selected protocols of the transport and application layer
- Implementation of network services (web, email, FTP)
- Use of defacto industry standard applications for network services
- Development of network applications

Assessment methods

Final exam
Theoretical exam
Practical exam (Individual work)

Teaching methods

Lecture, practical exercises, distance learning tasks

Language

English

Lecture contents

- Independent work on a topic from the area of Computer Science, primarily based on the technical topics of the elective modules in the 4th and 5th semesters at a scientific level under the guidance of a supervisor.
- Elaboration of the bachelor thesis 1

Assessment methods

Final exam
Approbation of bachelor thesis

Teaching methods

Implementation of a project and elaboration as a bachelor thesis with coaching. Students present the current development of their bachelor thesis 1 at regular intervals and put it up for discussion.

Language

German

Lecture contents

Digital networks and the applications based on them dominate all business processes and also private areas of life today. The protocols of the transport and application layers of the IP protocol stack form the basis for these network applications. User acceptance and thus the success of a network application is essentially determined by its scalability and performance, in addition to its usability. The chosen protocols and the architecture of a network application are decisive for this.
The course covers the following contents in particular:
- Basic concepts of network applications
- Server-client, peer-to-peer and mixed architectures for network applications
- Selected protocols of the transport and application layer
- Implementation of network services (web, email, DNS, firewall)
- Deployment of defacto industry standard applications for network services
- Implementation of network applications

Assessment methods

Final exam
Practical examination and theoretical examination.

Teaching methods

Lecture, practical exercises, distance learning tasks

Language

English

Lecture contents

- Independent work on a topic from the area of Computer Science, primarily based on the technical topics of the elective modules in the 4th and 5th semesters at a scientific level under the guidance of a supervisor.
- Elaboration of the bachelor thesis 1

Assessment methods

Final exam
Approbation of bachelor thesis

Teaching methods

Implementation of a project and elaboration as a bachelor thesis with coaching. Students present the current development of their bachelor thesis 1 at regular intervals and put it up for discussion.

Language

German

Lecture contents

Students apply the skills acquired to complete a project in a coordinated and structured manner.
project in a coordinated and structured manner. In doing so, they independently define a concrete sub-goal in the project. A well-founded theoretical approach is thus combined with practical application. Collaboration on an industrial R&D project or on current problems within the framework of the R&D activities of the UAS is possible.

Assessment methods

Final exam
Practical project in small groups.

Teaching methods

Group work, practical project implementation accompanied with exercises and coaching.

Language

German