The Swiss engineering master's degree

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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In the Privacy and Law module, students gain an awareness of the threats to privacy in the fast changing digital society and are prompted to reflect on values in the historical and intercultural context.
Students acquire an overview (system and reference knowledge) of actual legal aspects that have not been specifically covered in either the vocational baccalaureate or in the Bachelor's degree course. In the…

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The goal of this module is to teach the fundamentals of image processing, while putting emphasis on their mathematical and algorithmic principles. In addition, specific 2D and 3D industrial and biomedical applications will be treated.

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In this module, students are introduced into basic concepts of lifecycle management of infrastructures with respect to costs vs benefit. Established cost and benefit models of infrastructures are discussed. Based on lifecycle costs analysis, we introduce different methods for the assessment of maintenance strategies, and for decision making with respect to construction, preservation, and replacement. The cost-based…

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This course will provide an introductory review of the basic concepts of probability and statistics to understand probability distributions and to produce rigorous statistical analysis including estimation, hypothesis testing, and confidence intervals. Students will be introduced to the basic concepts of predictive modelling which by definition is the analysis of current and historical facts to make predictions about…

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After studies had shown that 80% of all decisions in business and private life are based on geodata, this now also applies increasingly to Big Data. Modern programming languages such as Python have developed into an easy-to-learn and powerful tool for processing this data. Python is the most frequently used programming language for processing geographical data, especially because of its simplicity, the extensive…

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More and more complex data is collected in a wide range of application areas. Thus, with the goal of gaining insight into the data and information as well as communicating the resulting knowledge, the need for efficient visual methods is growing rapidly. We need to know the options for effective and efficient visual representations, for example for communication and fact-based decision making, as well as to develop…

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