Thinking outside of the box is an important part of education. However, using innovative teaching methods in education can be very challenging for educators. They are directly involved into a teaching process and upcoming changes should be well planned and the impact of the introduced innovations/changes should be estimated in advance. Innovations can be also challenging for a management part of a particular higher education institution, whose major goal is to organize a smooth learning process. Current work presents software empowered innovation in the domain of teaching physics at universities. Authors demonstrate how particular software artefacts could be possible integrated into existing curriculum in order to help students at universities in mastering particular natural science subject (e.g., "Physics-1," "Physics-2"). Software is based on the ideas of virtual laboratories, whether implementation is based on Microsoft. NET XNA Framework and 3D modeling. Paper shows that the introduction of modern information and computer technologies along with the traditional forms of education are significantly enhancing teaching experience and improving education quality. ß

Current work presents new approach for designing business intelligence solutions. In the era of big data, former and robust analytical concepts and utilities needs to adopt themselves to changed market circumstances. Main focus of the work is to address acceleration of building process of a "data-centric" business intelligence solution on one side, and also prepare business intelligence solutions for big data utilization. Research is addressing following goals: (a) reduce time spent during business intelligence solution designing phase; (b) achieve flexibility of business intelligence solution by removing problems with adding new data sources; (c) prepare business intelligence solution for utilization of big data concepts. Research proposes extension of existing Extract, Load and Transform (ELT) approach to the new one Extract, Load, Transform and Analyse (ELTA).

Unlocking and managing flexibility is an important contribution to the integration of renewable energy and an efficient and resilient operation of the power system. In this paper, we discuss how the potential of a fleet of battery-electric transportation vehicles can be used to provide frequency containment reserve. To this end, we first examine the use case in detail and then present the system designed to meet this challenge. We give an overview of the tasks and individual sub-components, consisting of (a) an artificial neural network to predict the availability of Automated Guided Vehicles (AGVs) day-ahead, (b) a heuristic approach to compute marketable flexibility, (c) a simulation to check the plausibility of flexibility schedules, (d) a multi-agent system to continuously monitor and control the AGVs and (e) the integration of fleet flexibility into a virtual power plant. We also present our approach to the economic analysis of this provision of a system-critical service in a logistical context characterised by high uncertainty and variability.

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