Each module contains 3 ECTS. You choose a total of 10 modules/30 ECTS in the following module categories:
- 12-15 ECTS in technical scientific modules (TSM)
TSM modules teach profile-specific specialist skills and supplement the decentralised specialisation modules. - 9-12 ECTS in fundamental theoretical principles modules (FTP)
FTP modules deal with theoretical fundamentals such as higher mathematics, physics, information theory, chemistry, etc. They will teach more detailed, abstract scientific knowledge and help you to bridge the gap between abstraction and application that is so important for innovation. - 6-9 ECTS in context modules (CM)
CM modules will impart additional skills in areas such as technology management, business administration, communication, project management, patent law, contract law, etc.
In the module description (download pdf) you find the entire language information per module divided into the following categories:
- instruction
- documentation
- examination
Modules: 26
The goals of an organization can be efficiently pursued only through proper project management, as a means able to consistently tackle their needs. Thus the role of the Project Manager becomes essential, as responsible to achieve the objectives, respecting the constraints determined by the project context. Modern Project Managers must have in-depth technical and management knowledge.
The course provides the students…
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Explore moreOne 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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Explore moreThe 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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Explore moreCompanies are increasingly interested in conducting their activities so that a long-term future is assured for its business, society and environment. The purpose of this class is to deal with the well-recognized but sometimes vague concept of sustainability from an engineering perspective. The module is meant to introduce students to the implementation of sustainable management in industries and provide them with…
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Explore moreIn 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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Explore moreThe CM_QRM addresses the most relevant basics in integrated quality and risk management. Theory is applied and specified by examples and case studies. The module concentrates on current standards and best practices on quality and risk management and introduces the most established approaches.
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Explore moreStudents 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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Explore moreAfter successful studying students are capable to solve selected practical mathematical problems by combining appropriate numerical methods with suitable computer algebra tools. Moreover, students know how to interprete and visualize computational outcomes resulting from numerical algorithms.
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Explore moreModelling, simulation and optimization are fundamental to solving problems in a number of fields of science, technology and life. Students will learn to design, implement, simulate, and optimize a model of dynamic system. First we will focus on the analysis of how different model structures can generate different behaviours, reproducing growth processes, but also goal seeking and oscillating behaviours. Then we focus…
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Explore moreNatural, social, and engineered complex systems can be modelled as being composed of agents interacting with one another and their environment. This course introduces students to the theory, tools and techniques for understanding and solving problems related to such systems.
The course is composed of two parts. In the first one, both cooperative and selfish agents and interactions between them will be discussed. The…
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Explore moreThis 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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Explore moreIn 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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Explore moreStudents learn and experience an advanced approach for designing an autonomous real-time process monitoring system (cyber-physical system)
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Explore moreThis course provides a comprehensible introduction to basic concepts of continuum mechanics, material modelling and failure assessment for metals and polymers.
The students learn the fundamentals of tensor algebra and gain comprehensible insight into the governing mechanical and thermo-mechanical concepts of continuum mechanics. On this basis, an overview is given of state of the art material models for metals and…
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Explore moreBased on selected examples, this module imparts the scientific and technological basics as well as the possibilities and the perspectives of the micro- and nanotechnologies to the participants. The students will become aware of the enormous potential of applications of this field and acquire a certain ability in handling it.
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Explore moreThis module provides students with an introduction to CFD by imparting knowledge of state-of-the-art techniques in computational fluid dynamics, with the emphasis on fluid physics and verification/assessment.
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Explore moreThe module provides students with comprehensive knowledge in the numerical simulation of demanding static and dynamic problems in structural mechanics. Special emphasis is placed on validation methods for the models and verification possibilities for the results.
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This module offers an overview of digitization in industry from several perspectives.
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Explore moreLes étudiants obtiennent une méthode d’éco-conception appliquée permettant d’appréhender un projet de développement en mettant en adéquation tous les paramètres permettant l’obtention d’un produit technique durable, sociétalement…
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Explore moreAt the beginning of the course, we will give the students an insight on the basics of fluid dynamics and heat transfer.
Subsequently, the course will focus on more complex thermal and fluid phenomena occuring in mechanical engineering applications.
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The course deals with fundamental and technical issues associated with designing and maintaining structures that resist failure from cyclic loading. Students will be taught the principles of fatigue testing and analyzing fatigue failures of materials, addressing the questions of how fatigue behaviour is characterized, how fatigue failure is predicted, which physical mechanisms are responsible for fatigue initiation…
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Explore moreSelected future-oriented manufacturing technologies and procedures with economic aspects of these technologies. Including the improvement of productivity and quality.
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Explore moreMaterials offer immense opportunities for innovation. However, advance is possible only if a procedure exists for making a rational choice from the materials and a method of identifying ways to shape, join, and finish them.
The objective of this course is to develop a systematic procedure for selecting materials and processes, leading to the subset that best matches the requirements of a design. The structure gives…
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Explore moreThe interdisciplinary field of materials science and engineering covers approaches to improving the synthesis of new materials, to understanding their surfaces and main properties and, in particular, to adapting their properties to meet special requirements. The aim of this course is to teach students the fundamental principles necessary to understand the relationships between structure and property in material…
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Explore moreDegradation of polymers is an important driver of plastic and rubber products failures during their service life. Therefore, understanding the mechanisms of polymer degradation is of paramount importance for properly engineering plastic and rubber products, ensuring performances all through their service life. This module discusses the impact of chemical and physical degradating factors on the macromolecules…
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Explore morePassive vibration control: dynamic isolation and Tuned Mass Dampers. Dynamic response of elastomeric materials. Damping due to friction. Numerical modeling of damping in Finite Element packages. Position control of flexible structures. Vibrations issues in high-performance machine tools.
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