Details

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

(ONLY IN GERMAN - 27.02.2018)
Im Internet of Things (IoT) werden physische Gegenstände über digitale Netzwerke, wie das Internet, vernetzt und virtuell verfügbar gemacht. Neben der einfachen und kostensparenden Netzwerkanbindung dieser Gegenstände ist die Entwicklung von automatisierten digitalen Netzwerkdiensten, die den zusätzlichen Nutzen der Vernetzung realisieren, Ziel des IoT. Das IoT geht einher mit Begriffen wie Industrie 4.0, oder Ubiquitous Computing.
Die LV deckt insbesondere die folgenden Inhalte ab:
- IoT Netzwerkarchitektur und Design
- Smarte Objekte
- IoT Access Technologien
- Applikationsprotokolle für das IoT
- Datenanalyse im IoT
- IoT Datenanalyse und Management
- IoT in der Industrie

Assessment methods

Final exam

Teaching methods

(ONLY IN GERMAN - 27.02.2018)
Vortrag, praktische Übungen, Fernlehreaufgaben

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

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
Prerequisites:
- Network applications
- Internet of Things (IoT access technologies, IoT protocols)
- IT-security basics
- Linux ( hands-on)

Assessment methods

Final exam
Theoretical examination
Project work (individual work)

Teaching methods

Lecture, practical exercises, project work

Language

English

Lecture contents

- Independent work on a relevant subject based on the technical topics of the elective modules and possibly the Bachelor thesis 1 at a scientific level under the guidance of a supervisor.
- Elaboration of the bachelor thesis 2

Assessment methods

Final exam
Approval of the bachelor thesis

Teaching methods

Carrying out a practical work and elaboration as a bachelor thesis with coaching. Students present the current development of their bachelor thesis 2 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

(ONLY IN GERMAN - 27.02.2018)
Im Internet of Things (IoT) werden physische Gegenstände über digitale Netzwerke, wie das Internet, vernetzt und virtuell verfügbar gemacht. Neben der einfachen und kostensparenden Netzwerkanbindung dieser Gegenstände ist die Entwicklung von automatisierten digitalen Netzwerkdiensten, die den zusätzlichen Nutzen der Vernetzung realisieren, Ziel des IoT. Das IoT geht einher mit Begriffen wie Industrie 4.0, oder Ubiquitous Computing.
Die LV deckt insbesondere die folgenden Inhalte ab:
- IoT Netzwerkarchitektur und Design
- Smarte Objekte
- IoT Access Technologien
- Applikationsprotokolle für das IoT
- Datenanalyse im IoT
- IoT Datenanalyse und Management
- IoT in der Industrie

Assessment methods

Final exam

Teaching methods

(ONLY IN GERMAN - 27.02.2018)
Vortrag, praktische Übungen, Fernlehreaufgaben

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

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
Prerequisites:
- Network applications
- Internet of Things (IoT access technologies, IoT protocols)
- IT-security basics
- Linux ( hands-on)

Assessment methods

Final exam
Theoretical examination
Project work (individual work)

Teaching methods

Lecture, practical exercises, project work

Language

English

Language

German

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

Module exam

Teaching methods

Group work, practical project implementation accompanied by exercises and coaching

Language

German

Lecture contents

Software Engineering Project 2 enables students to implement the knowledge acquired during their studies in a concrete project. In the second semester, based on requirements and design draft from the software design project, the software solution is implemented in the first semester using modern software development methods and tools. This implemented solution is then systematically tested and improvements are incorporated.
The LV covers in particular the following contents:
- Implementation of classes and data structures based on the High Level Design documentUse of
- software algorithms for the implementation of activity and sequence diagramsDefinition
- and prioritization of test cases under consideration of requirementsConduction of
- test scenarios with current test tools

Assessment methods

Module exam

Teaching methods

Group work, practical project implementation accompanied by exercises and coaching

Language

German

Lecture contents

Software Integration is a method of implementing and integrating technical and business functions and processes across the enterprise, distributed across different applications on different platforms. The goal is to achieve integrated process management through a network of internal company applications and cloud-based services of different generations and architectures. Software Integration deals with the integration of existing systems (legacy systems) into a company-wide overall architecture (Enterprise Application Integration) and the integration of various new software systems into an overall architecture.
The LV covers in particular the following contents:
- Basic methods of software integrationSoftware
- integration lifecycle managementNon-technical
- criteria in software integrationService
- oriented architectureSelection criteria
- for the use of commercial, off-the-shelf software (COTS) or customer-specific software solutionsHigh-level
- design of software integration solutionsIntegration of
- open source solutionsIntegration
of
- cloud servicesTools
- of system integration (Enterprise Service Bus, Web Services)
- Role and function of software integrators

Assessment methods

Continuous assessment
Preparation of a case study, group work

Teaching methods

Case studies, practical exercises, lecture.

Language

English