Suchergebnis: Katalogdaten im Herbstsemester 2019

MAS in Applied Technology Information
Vertiefung Applied Information Technology
265-0100-00LFoundations of Computer Science Belegung eingeschränkt - Details anzeigen
Only for CAS in Applied Information Technology and MAS in Applied Technology.
O3 KP2GL. E. Fässler
KurzbeschreibungThe initial module offers a practical introduction to some basic concepts and techniques for information processing as well as practical applications of them. The programming language is Python.
LernzielStudents learn

- how to encode a problem into a program, test the program, and correct errors.
- to understand and improve existing code.
- to implement mathematical models as a simulation.
InhaltThe following programming concepts are introduced in the lecture:

1. Variables, data types
2. Condition check, Loops, logics
3. Arrays
4. Functions
5. Matrices

In the practical part of the course, students work on small programming projects with a context from natural sciences. Electronic tutorials are available as preparation.
Voraussetzungen / BesonderesNo prior knowledge is required for this course.It is based on application-oriented learning. The students spend most of their time working through programming projects and discussing their results with teaching assistants. To learn the programming basics there are electronic tutorials available.
265-0101-00LData Science Belegung eingeschränkt - Details anzeigen
Only for CAS in Applied Information Technology and MAS in Applied Technology.
O3 KP2GB. Gärtner
KurzbeschreibungIn this module, basic paradigms and current challenges in working with data will be discussed, especially data security and the handling of large amounts of data.
LernzielParticipants learn about some important computer science concepts necessary for data science. They understand some of these concepts in detail and see the mathematics behind them.
InhaltParticipants will get an introduction to key computer science concepts underlying current and upcoming technology. The module covers cryptography, distributed ledger technology, machine learning and artificial intelligence, as well as algorithms for big data. Each concept will be discussed in two different ways: (i) a hands-on introduction that allows participants to gain a technical understanding of key ideas. This is supported by simple and concrete examples as well as programming assignments; (ii) a context part that explains the challenges and limitations encountered in practical applications.
265-0102-00LHumans & Machines Belegung eingeschränkt - Details anzeigen
Only for CAS in Applied Information Technology and MAS in Applied Technology.
O3 KP2GE. Konukoglu, O. Hilliges, C. Holz
KurzbeschreibungThis module offers practical knowledge in visual information processing and human computer interactions.
LernzielParticipants understand basic concepts of visual regonition and human-computer interaction systems.
InhaltThe first part of the module will cover basic theoretical knowledge on visual recognition systems of the last two decades, mostly focusing on the most recent advancements in deep learning and convolutional neural networks. The theoretical knowledge will be supported with practical sessions that will allow participants to gain hands-on experience with most commonly used tools and deepen their understanding of the key concepts. The second part provides an introduction to the field of human-computer interaction, emphasising the central role of the user in system design. Through detailed case studies, students will be introduced to different methods used to analyse the user experience and shown how these can inform the design of new interfaces, systems and technologies.
265-0103-00LApplied Information Technology Belegung eingeschränkt - Details anzeigen
Only for CAS in Applied Information Technology and MAS in Applied Technology.
O3 KP2GM. Brandis
KurzbeschreibungThis integration module for CAS "Applied Information Technology" links technical understanding of technology with business strategy based on a set of case studies from practice.
LernzielParticipants will learn how technology affects businesses and practical issues when using new technologies in incumbent organizations based on a set of case studies.
InhaltParticipants will explore how new information technologies change different aspects of a business, and learn how to evaluate specific risks, costs, and benefits of such technologies. The module will shed light on success factors and common pitfalls when implementing new technologies and respective business changes, and it will specifically address the communication between technical experts and business management. The studied cases are currently planned to focus on artificial intelligence, IoT including edge and cloud computing, blockchain and distributed ledger technologies, and cybersecurity and data protection regulations (subject to change).
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