Jedes Modul umfasst 3 ECTS. Sie wählen insgesamt 10 Module/30 ECTS in den folgenden Modulkategorien:
- 12-15 ECTS in Technisch-wissenschaftlichen Modulen (TSM)
TSM-Module vermitteln Ihnen profilspezifische Fachkompetenz und ergänzen die dezentralen Vertiefungsmodule. - 9-12 ECTS in Erweiterten theoretischen Grundlagen (FTP)
FTP-Module behandeln theoretische Grundlagen wie die höhere Mathematik, Physik, Informationstheorie, Chemie usw. Sie erweitern Ihre abstrakte, wissenschaftliche Tiefe und tragen dazu bei, den für die Innovation wichtigen Bogen zwischen Abstraktion und Anwendung spannen zu können. - 6-9 ECTS in Kontextmodulen (CM)
CM-Module vermitteln Ihnen Zusatzkompetenzen aus Bereichen wie Technologiemanagement, Betriebswirtschaft, Kommunikation, Projektmanagement, Patentrecht, Vertragsrecht usw.
In der Modulbeschreibung (siehe: Herunterladen der vollständigen Modulbeschreibung) finden Sie die kompletten Sprachangaben je Modul, unterteilt in die folgenden Kategorien:
- Unterricht
- Dokumentation
- Prüfung
Modules: 34
The goal of this module is to help students to further develop their knowledge and skills in academic writing and presenting through the medium of English. Students will learn what it means to write academic texts and to present to an audience in an accurate, appropriate, and convincing manner. The module is divided into a writing and a presenting part.
The writing part of the module focuses on key document types…
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Mehr lesenThe 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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Mehr lesenOne 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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Mehr lesenIn 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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Mehr lesenThe course introduces the concepts of Lean innovation and lean thinking. It also foster a complex serious-gaming session where the students can develop their own factory and implement a set of innovations. Indeed, the student will be able to devise and implement a production practice that considers to be waste the expenditure of resources for any goal other than the creation of value for the customer.
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Mehr lesenIn 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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Mehr lesenThe 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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Mehr lesenAlgorithms are at the heart of every computer program. Informally, an algorithm is a procedure to solve a (computational) problem within a finite number of elementary steps. The same problem can be addressed with different algorithms, hence it is important to compare the different options in order to choose the best one. Experimental analysis is one way to perform such comparison, but it has several limits. The main…
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Mehr lesenThis module introduces students with different categories of advanced algorithms and typical application areas.
In the first part of the module, the students will have a sound understanding of data structures and algorithms for efficiently handling either very large, complex or dynamic data sets or combinations thereof. They will be able to evaluate suitable algorithms and to apply them to typical tasks such as…
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Mehr lesenAn algorithm is typically called efficient if its worst-case running time is polynomial in the size of the input. This course will focus on a huge and practically relevant family of problems, namely NP-hard ones, for which (most likely) no efficient algorithm exists. This family includes fundamental problems in computational biology, network design, systems, computer vision, data mining, online markets, etc.
The…
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Mehr lesenThis course provides the mathematical fundamentals of cryptography and coding theory and illustrates them with numerous practical examples.
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Mehr lesenThe 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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Mehr lesenMachine 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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Mehr lesenModellierung, Simulation und Optimierung sind von grundlegender Bedeutung für die Lösung von Problemen in einer Reihe von Bereichen der Wissenschaft, Technik und des Lebens. Die Studierenden werden lernen, ein Modell eines dynamischen Systems zu entwerfen, zu implementieren, zu simulieren und zu optimieren. Zunächst werden wir uns auf die Analyse konzentrieren, wie verschiedene Modellstrukturen unterschiedliche…
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Mehr lesenNatural, 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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Mehr lesenThe ubiquitous presence of uncertainty and noise in the engineering sciences and the importance of randomized algorithms in computer and data science make it mandatory to understand and quantify random phenomena. To achieve this goal the course will provide a solid review of probability theory and an introduction to the theory of stochastic processes. Special attention is given to applications, including examples…
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Mehr lesenThe aim of this module is to deepen some basic theoretical aspects of computer science. The master students will learn that ...
- formal languages and automata are essential concepts to describe different types of problems and computations;
- Computability/decidability are central to explain that for many problems seem to have an intuitive solution, although they can not be solved by algorithms;
- Complexity…
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The course will first stabilize some ground knowledge as security, detailed IP stack, network mobility background and quality of service approach. Based on this, the module will define a red thread that starts with set of service availability requirements used for defining architectures. Exploring different architectures solutions will be the next aim that will let the student have a complete overview how a…
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Mehr lesenThe objective of this course is to offer both theoretical knowledge and practical expertise in the realm of contemporary real-time 3D Computer Graphics (CG) systems.
In this class, you will delve deep into the world of modern GPU programming techniques, gaining firsthand experience to enhance the realism and performance of 3D rendering software. You'll explore the generation of complex synthetic images, mastering the…
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The heterogeneity of the requirements of modern applications is not always well addressed by classical data management systems. The use of the appropriate data management system can address properly requirements such as replication, scalability, availability, data model flexibility, or query performance.
This course aims to provide a critical approach to polyglot data management systems by knowing their…
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Mehr lesenThe course covers the following core topics:
- Distributed and parallel database systems architectures, internals and services such as transaction processing, concurrency control and query processing
- No-SQL Systems
- Data processing architectures
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Mehr lesenAn embedded system is a specialized computer system with embedded hardware. There exists a wide variety of embedded systems, but in general such systems are processing systems capable of sensing physical inputs from their environment and of communicating the results. Usually embedded systems are designed to perform repeating tasks, either periodically or spontaneously, for low cost, low power, and optimal…
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Mehr lesenAlthough widespread, the currently mainstream imperative, object-oriented programming paradigm, with testing as its main method of quality assurance, has its limitations. Even though it allows novices to write programs relatively quickly and without much formal training, such programs tend to become complicated as soon as they need to do something non-trivial. This makes them increasingly hard to write and reason…
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Mehr lesenLecture on advanced topics in the domain of Cloud Computing, more precisely covering use, operations, development of and for IaaS and PaaS, as well as developing applications natively for the cloud.
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Mehr lesenLecture on advanced topics in the domain of Cloud Computing, more precisely covering use, operations, development of and for IaaS and PaaS, as well as developing applications natively for the cloud.
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Mehr lesenAnalyzing images is a very complex task that has many important real-world applications. This module presents powerful techniques to extract information from images and 3D data, based on machine learning and deep learning methods. These methods are mostly used as “black boxes” and their inner workings are not discussed in much detail. The module provides an overview of many image analysis applications such as…
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Mehr lesenLe cours transmettra d'abord les connaissances de base nécessaires dans le domaine de la sécurité informatique telles que le principe de CID (confidentialité, intégrité, disponibilité), ainsi que la sécurité et sureté des données.
Le module approfondira cette base pour permettre à l'étudiant-e d'avoir une vue d'ensemble complète sur la façon d'identifier et de répertorier les menaces et les risques. Ensuite,…
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Mehr lesenThis course focus on software technologies, architectures, and methodologies for development of cloud-native applications.
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Mehr lesenThis course covers all the topics related to the Internet of Things: from the sensors level to the higher layer of data rapresentation and manipulation. It is intended to give the student the technical knowledge and skills needed for building up an Internet of Things (IoT) system.
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Mehr lesenThis module enables students to develop advanced, native applications for the Android mobile operating system and get a solid understanding of mobile computing concepts. Building on the basics of mobile application development, this course covers a selection of application programming interfaces for on-board sensors and connectivity options for the integration with backend services, IoT platforms and peripheral…
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The objective of this module is to provide the student with an introduction to parallel computing and algorithms. Students learn to parallelize systems at three different levels: Shared memory systems, distributed memory systems, and heterogeneous shared memory systems. For all three systems, which can be part of a high-performance cluster, students learn the necessary parallelization techniques and a few classical…
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Mehr lesenThe module provides an in-depth view of selected topics of modern software engineering. These stem from the fields: modern software development processes, software architecture, and the principles of evolution of software systems.
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Mehr lesenGraphical User Interfaces have long become standard UIs for computers, and mobile devices have not only adopted these GUIs but augmented them with multi-touch screens, speech in- and output, gesture, handwriting recognition, and several additional sensors. This has fostered innovative ways of user interaction with the information available on these devices that were only been seen in professional environments so far.…
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Mehr lesenThe module starts with the physical properties of radio propagation, analog and digital modulation and forward error correction.
Then the students will be exposed to the functioning and characteristics of a selection of the most important wireless standards at the present time. The focus will be on the physical layer and the medium-access layer.
Exercises will be used throughout the course to exemplify the use and…
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