This collection provides an overview of various teaching methods that can be used in higher education. All entries are summarised according to the following three criteria: level of difficulty (easy, medium or difficult), estimated duration of use and recommended group size. Additional links and references to relevant tools are also provided for each method.

Die vorliegende Arbeit widmet sich der linguistischen Analyse von Medienkritik im digitalen Zeitalter am Beispiel des YouTubers Rezo. Im Fokus steht das im Jahr 2020 veröffentlichte Video „Die Zerstörung der Presse“, in dem Rezo etablierte deutsche Printmedien einer kritischen Betrachtung unterzieht. Auf Basis eines qualitativen Analyseansatzes werden drei Videos betrachtet: das Ursprungsvideo Rezos, die Reaktion der FAZ („Unsere Antwort auf Rezos „Zerstörung der Presse““) sowie Rezos Reaktionsvideo („Die dümmsten und lustigsten Reaktionen“). Die Analyse demonstriert, wie sich Rezo durch den Einsatz sprachlicher Kreativität und bewusster Inszenierung zwischen journalistischer Kritik und Politainment befindet. Im Rahmen der Analyse werden verschiedene Aspekte der Videos untersucht, darunter der Aufbau, die Verwendung von Anglizismen sowie der Pronomina-Gebrauch als Index einer adressatengerechten Gestaltung. Rezos Medienkritik ist gekennzeichnet durch jugendsprachliche Elemente, eine direkte Adressierung und diskursive Strategien, die auf eine junge Zielgruppe zugeschnitten sind. Die kontrastive Analyse mit dem FAZ-Video offenbart zudem Diskrepanzen in der sprachlichen Darstellung von Glaubwürdigkeit. Die vorliegende Arbeit leistet somit einen Beitrag zur Erforschung digitaler politischer Kommunikation aus sprachwissenschaftlicher Perspektive.

Advanced on-chip integrated photonic and electronic devices, such as hyperspectral photodetectors, depth sensors or memristors, obtain significant drawbacks with respect to performance and/or the technological integration effort. To overcome such limitations, optimized materials and innovative device concepts were developed to maximize performance and integration densities for specific applications. The selected thin and ultra-thin film material examples can obtain significant advantages and exhibit fundamentally different and adjustable material properties compared to their bulk monocrystalline counterparts. Exploiting the benefitial properties of two dimensional (2D) and amorphous semiconducting materials allows the development of high-performance optoelectronic devices, especially for sensing applications. The aim of this work is to demonstrate how novel 2D-material and conventional thin-film semiconductor processing platforms and technologies can be combined to enable a heterogenous device integration on top of chip electronics with enhanced performance. As device examples, 2D-material heterostructure photodetectors for enhanced sensing applications, nonlinear amorphous silicon and graphene photodetectors for depth sensing as well as thin-film memristors for the development of neuro-inspired “smart” cameras are presented, discussed and compared with the state-of-the-art.

The growing complexity of modern System-on-Chip (SoC) designs, coupled with their application in safety-critical domains, requires significant advancements in fault tolerance and energy efficiency. Safety-critical systems, where failures can result in catastrophic consequences, demand reliable and efficient communication frameworks. Despite considerable advancements, challenges persist in achieving accurate fault localization, ensuring adaptability in real-time fault scenarios, and maintaining energy-efficient operation across diverse Network-on-Chip(NoC) topologies. The first part of the thesis introduces an adaptive communication service for time-triggered NoCs, which dynamically adjusts schedules in response to events such as slack, battery depletion, and faults. This approach enhances energy efficiency by employing techniques such as Dynamic Voltage and Frequency Scaling (DVFS) and clock gating, and it supports timely communication while maintaining fault isolation. The second part focuses on fault detection, localization within time-triggered and event-triggered NoCs. A diagnostic architecture incorporating deterministic behavior and source-based routing enables precise identification and localization of faults. The Fault Monitor Unit plays a key role in detecting errors at run-time through real-time monitoring of message validity and timing. Once detected, faults are localized using techniques such as Cyclic Redundancy Code (CRC) checks and time-stamp analysis. Recovery is achieved by isolating the affected component and dynamically rerouting messages or reallocating tasks to healthy nodes using predefined schedule, minimizing system disruption. These solutions are validated through simulations and experimental scenarios across various NoC topologies, demonstrating significant improvements in fault tolerance and system adaptability. The experimental results validate the proposed architectures across a range of scenarios, including both synthetic and real-world avionics configurations. Latency tests conducted on 2x2, 3x3, and 4x4 mesh topologies exhibit predictable delay patterns across varying packet sizes. Additionally, memory optimization techniques, which focus on storing only the differences in schedules, effectively reduce storage requirements. Fault detection achieved a 100% rate for single faults in routers, tiles, and links across various network topologies such as mesh, torus, and ring, with accurate localization in most cases. The results emphasize the scalability, robustness, and adaptability of the proposed methods, demonstrating their suitability for deployment in safety-critical domains such as automotive, aerospace, and industrial automation.