The Swiss engineering master's degree

One of the biggest challenges encountered in management is recognizing opportunities and making use of them while giving consideration to the associated risks. The constantly increasing dynamism and complexity of the environment in which companies and organizations operate is, however, making it difficult to take successful decisions. Multifactorial correlations, non-linearities, feedback effects and time lags make…

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In the module « Corporate Management and Entrepreneurship », students are enabled to evaluate business models. They learn the building blocks of a business modell and elements of sustainable management practices. Along the business model, relevant aspects from different fields such as strategy, marketing, finance and organization are relevant.

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The module aims to explain the operational planning and management of innovations to students on the basis of an integrated innovation management model, as well as introducing them to the relevant concepts. This will enable students to establish links to various company-internal and company-external interfaces as part of innovation projects and to correctly interpret and influence these. In this module, students will…

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Students are introduced to statistical tools used in the industrial sector, and particularly in process and quality control. In this module, students learn to plan and conduct statistical evaluations independently.

Please note: An MSE cursus may not contain both similar statistics modules FTP_AppStat and FTP_PredMod. Students can only choose one of these modules.

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Machine learning (ML) emerged out of artificial intelligence and computer science as the academic discipline concerned with “giving computers the ability to learn without being explicitly programmed” (A. Samuel, 1959). Today, it is the methodological driver behind the mega-trend of digitalization. ML experts are highly sought after in industry and academia alike.

This course builds upon basic knowledge in math,…

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This course offers an introduction to optimization, emphasizing basic methodologies and underlying mathematical structures. Optimization refers to the application of mathematical models and algorithms to decision making.  A large number of quantitative real-world problems can be formulated and solved in this general framework. Applications of optimization comprise, for instance, decision problems in production…

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In this module, students learn which class of dynamical phenomena can be described with systems of ordinary differential equations. They learn to recognize the fundamental behavior patterns of these systems and also to develop simulation models for them.

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The course will focus on the design of advanced aircraft systems, aiming towards more electric types of aircraft for a new generation beyond the Airbus A380 and Boeing 787.

Today, aircraft design is more than just aerodynamics, flight dynamics, propulsion, structures,and equipment. The new technologies require a systems engineering approach, which guides the way towards a sustainable aircraft.

The whole design…

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Macro: Role of innovation within aviation industry, growth-driven economy, National Innovation Systems, mission oriented policies, the entrepreneurial state, role of SDGs, competitive forces

Micro: Role of innovation at firm and entrepreneur levels

Appreciation and understanding of complexity and complex systems, particularly from an innovation perspective, identifying and understanding problems and identifying…

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The course will focus on operational and infrastructure topics and the optimization of complex systems in terms of delay, capacity issues and future developments in aviation.  

Future developments and important upcoming topics in the airline industry will be addressed, such as unmanned aircraft systems, new approaches in business models or passenger operations.  

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Safety-critical systems are those systems whose failure could result in loss of life. An aircraft such as an airliner has more than one safety critical systems.

The engineering activities required to design and manage these complex systems over their life cycles require a deep understanding of several disciplines and a systematic approach to problems such as:

• Requirements engineering
• Requirement based testing
• Validat…

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