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you to act professionally in an industrial or trade-related context and to become active in design. As a Master's student, you will also be characterised by an improved ability to work in a team, to think [...] Logistics & Digitalization is not merely to impart specialist knowledge, but to develop your personal skills in a holistic way. Thus, the course offers you the opportunity to refine your social skills for cooperation [...] & Digitalizationn are characterized by their ability to develop and evaluate scientific approaches and methods and to successfully transfer them to companies or the scientific community (committees, a

Management 4.0? You would like to know how to use Internet of Things and Virtual/Augmented Reality in your company? Are you fascinated by logistic facilities and systems used to transport and handle goods [...] support you need and are encouraged to take other paths to make your studies more varied. In the lectures, not only theoretical models are taken up, but also the relation to practice is created and highlighted [...] will continue to support their implementation and manage their operations. We provide you with the necessary knowledge of real and digital logistics systems and processes. You will also learn about aspects

nonlinear multivariable system due to the saturation-related nonlinearities and the strong magnetic coupling between the stator and rotor circuits. In order to meet the high dynamic requirements common [...] in interaction with the field-oriented current control with respect to the highly dynamic operating point changes that occur due to the loss-optimal operating strategy. The Ostbayerische Technische Hochschule [...] environment, as well as a high-performance sensorless current control algorithm for its implementation. Due to the high cost of high-voltage batteries in electric vehicles, increasing the efficiency of the electric

int true Author wbogner producer Microsoft: Print To PDF access_permission:can_modify true pdf:docinfo:producer Microsoft: Print To PDF pdf:docinfo:created 2022-01-22T09:27:39Z Microsoft [...] Dipl.-Ing. David Wagner Johannes Dettelbacher, M.Sc Bezeichnung engl.: Introduction to Machine Learning in Python Referent(en):  Dipl.-Ing. David Wagner  Johannes Dettelbacher, M.Sc.  Hochschule [...] Fluid Dynamics Modulverantwortung: Prof. Dr.-Ing. Stefan Beer Bezeichnung engl.: Introduction to Computational Fluid Dynamics (CFD) Referent(en): Prof. Dr.-Ing. Stefan Beer, OTH Amberg-Weiden V

Studierenden solide Grundlagen in Deep Learning erworben. Insbesondere sind sie in der Lage:  den Stand der Technik von Machine Learning und Deep Learning zu verstehen  können die verschiedenen [...] int true Author wbogner producer Microsoft: Print To PDF access_permission:can_modify true pdf:docinfo:producer Microsoft: Print To PDF pdf:docinfo:created 2023-01-21T10:03:02Z Microsoft [...] Maschinelles Lernen Modulverantwortung: Sebastian Wilhelm Bezeichnung engl.: Introduction to Machine Learning Referent(en): Wilhelm, Sebastian: Kontakt: sebastian.wilhelm@th-deg.de Voraussetzungen:

Studierenden solide Grundlagen in Deep Learning erworben. Insbesondere sind sie in der Lage:  den Stand der Technik von Machine Learning und Deep Learning zu verstehen  können die verschiedenen [...] Dipl.-Ing. David Wagner Johannes Dettelbacher, M.Sc. Bezeichnung engl.: Introduction to Machine Learning in Python Referent(en):  Dipl.-Ing. David Wagner  Johannes Dettelbacher, M.Sc.  Hochschule [...] Dr. Bogner DLBC-I Deep Learning Bootcamp Modulverantwortung: Prof. Dr. Alexander Schiendorfer Bezeichnung engl.: Deep Learning Bootcamp Referent(en): Prof. Dr. Alexander

(2019). Hands-on machine learning with scikit-learn, keras, and TensorFlow (2nd ed.). Sebastopol, CA: O’Reilly Media.  Bishop., C. (2016). Pattern Recognition and Machine Learning. New York, NY: Springer [...] Studierenden solide Grundlagen in Deep Learning erworben. Insbesondere sind sie in der Lage:  den Stand der Technik von Machine Learning und Deep Learning zu verstehen  können die verschiedenen [...] concepts and their functionality  Introduction to Robot operation system (ROS)  Introduction to mapping and pathfinding algorithms  Introduction to robotic simulation tools  Insight into robot

Elektromobilität Geo-Verfahren: Routing, Connectivity Maps Künstliche Intelligenz: Machine Learning, Data Mining Kommunikation: C-V2X (LTE, LTE-A) Fahrzeug: Sensorik, Bussysteme, ROS [...] Programmiersprache und Konzipierung verteilter Systeme  Implementierung unter Verwendung von Device-to-Device Kommunikation  Einarbeiten in Infrastrukturkommunikation Automotive Engineering @ OTH 14 [...] n in Fahrzeugkommunikation Automotive Engineering @ OTH 14.11.2019 MAPR Vorstellung 7 How to MAPR @Automotive? 1. Melde dich bei uns! 2. Auswahl des MAPR-Forschungsthemas mit Prof. Dr. Höß

science and the machine learning domain • Understanding some of the most widely used machine learning methods • Being able to implement a machine learning pipeline in order to solve real world problems [...] Voraussetzungen* Prerequisites This course is an introduction to ML. There is no need to have any prior knowledge about machine learning *Hinweis: Beachten Sie auch die Voraussetzungen nach Prüf [...] limited to linear regression and classification, Support vector machines and Deep neural networks. 3) Introduction to Python programming for data science. 4) Applying machine learning models on

science and the machine learning domain • Understanding some of the most widely used machine learning methods • Being able to implement a machine learning pipeline in order to solve real world problems [...] Voraussetzungen* Prerequisites This course is an introduction to ML. There is no need to have any prior knowledge about machine learning *Hinweis: Beachten Sie auch die Voraussetzungen nach Prüf [...] limited to linear regression and classification, Support vector machines and Deep neural networks. 3) Introduction to Python programming for data science. 4) Applying machine learning models on

science and the machine learning domain • Understanding some of the most widely used machine learning methods • Being able to implement a machine learning pipeline in order to solve real world problems [...] Voraussetzungen* Prerequisites This course is an introduction to ML. There is no need to have any prior knowledge about machine learning *Hinweis: Beachten Sie auch die Voraussetzungen nach Prüf [...] limited to linear regression and classification, Support vector machines and Deep neural networks. 3) Introduction to Python programming for data science. 4) Applying machine learning models on

Prüfungsvorbereitung: 30 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] 60 h Prüfungsvorbereitung: 30 h Gesamtzeit: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] Prüfungsvorbereitung: 30 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden

attributed to the normal response of currency holdings to the lowering of interest rates and to the increase in income from the government stimulus. The remaining 80% may be due to an increase [...] circulation of small, medium and large DM notes amounted to around €3 billion to €9 billion at the end of January 2002. It declined to around €1 billion to €2 billion at the end of January 2003. This is [...] period does not allow to establish a stable cointegration relation, which seems to be due, in particular, to the early part of the sample. 20 We presume that in order to estimate a suitable vector

Bernt Mayer 24 A Micro Data Approach to the Identification of Credit Crunches von Timo Wollmershäuser und Horst Rottmann 25 Strategies and possible directions to improve Technology Scouting in [...] mailto:f.seitz@oth-aw.de page English Abstract: We analyze the ability of standard macro models to explain recessions and depressions as well as financial crises. We find that the usual textbook models [...] decisive factor is the (lack of) adjustment of the real interest rate. As a solution, we propose recourse to elements of the Loanable Funds theory. This can better explain the interactions between the goods

Bernt Mayer 24 A Micro Data Approach to the Identification of Credit Crunches von Timo Wollmershäuser und Horst Rottmann 25 Strategies and possible directions to improve Technology Scouting in [...] mailto:f.seitz@oth-aw.de page English Abstract: We analyze the ability of standard macro models to explain recessions and depressions as well as financial crises. We find that the usual textbook models [...] decisive factor is the (lack of) adjustment of the real interest rate. As a solution, we propose recourse to elements of the Loanable Funds theory. This can better explain the interactions between the goods

environment ? Do you want to learn something new every day and enjoy working in an interdisciplinary team? Then this is the right place for you! With us, you will learn everything you need to work at the interface [...] opportunity to specialise in different fields. Medical Engineering offers an international orientation and flexibility through many options. These can be used either to acquire language skills or to expand [...] will programme computers, learn how to work with robots and use various 3D printers. You will also have contact with industry and medical facilities through excursions, listen to guest lectures from experts

TECHNOLOGY CLOSER TO THE PUBLIC! Play Video Schließen Medicine without technology? Unthinkable! From hearing aids to pacemakers, from MRI scanners to hybrid operating theatres, from hygiene to laboratory analyses [...] the opportunity to gain further qualification with a radiation protection course . Excursions will take you to a wide variety of areas in medical technology, from industrial production to hospital applications [...] intercultural activities and mentoring. We aim to make the challenging transition from your country to our country and the jump from secondary school to university easier. Sound interesting?! Join our

mentoring program? ❖ to have the opportunity to share your experiences with young (future) researchers and to offer them new perspectives and career paths. ❖ to contribute to enhancing the attractiveness [...] ss of our university and expanding international partnerships. ❖ to inspire more people for your field of expertise. ❖ to meet new open-minded people and establish new cross-border connections through [...] mentoring program 'careerSTEPS'?" ❖ Because we value and want to support your talent. ❖ Because you will have the opportunity to learn about what and how experts work in a specific field and what their

mentoring program? ❖ to have the opportunity to share your experiences with young (future) researchers and to offer them new perspectives and career paths. ❖ to contribute to enhancing the attractiveness [...] ss of our university and expanding international partnerships. ❖ to inspire more people for your field of expertise. ❖ to meet new open-minded people and establish new cross-border connections through [...] mentoring program 'careerSTEPS'?" ❖ Because we value and want to support your talent. ❖ Because you will have the opportunity to learn about what and how experts work in a specific field and what their

depending on prior knowledge and study objective. We will be happy to advise you on your choice of module. It can also be helpful to take an Online-Selbsttest . Mathematics I Most intermediate-level topics [...] important for a successful start to your studies. In this module, you will gain an insight into physical ways of thinking and working using the example of mechanics and learn about essential physical quantities [...] decimals, terms) Length: 48 teaching units of 45 minutes each Course location: Weiden Dates : February to April; every 14 days on Saturdays (see also Further information ) Participation fee: 350,-€ Mathematics

E.R. (2017): Computer Vision: Principles, Algorithms, Applications, Learning. Academic Press - Eck, D.J. (2018): Introduction to Computer Graphics. Online-Ressource - Eckardt, M. (2016): Cinema 4D 18 [...] source - Goodfellow, I., Bengio, Y., & Courville, A. (2016): Deep Learning. MIT Press - Kaehler, A. & Bradski, G. (2016): Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library. O'Reilly Media [...] Rodenburg, Menden - Maeda, J. (2019). How to Speak Machine: Laws of Design for a Digital Age. Portfolio. - Majumder, A. & Gopi, M. (2018): Introduction to Visual Computing: Core Concepts in Computer

t: 60 h Eigenstudium: 90 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] t: 60 h Eigenstudium: 90 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] t: 60 h Eigenstudium: 90 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden

introduction to object-oriented programming, including an overview of the language syntax and how to develop simple applications. Students will learn how to write custom classes and methods, and how to test their [...] Learning Objectives/Competencies to be Assessed Module work (ModA) Project Work in Groups -Details to follow- The group project is used to test the practical learning content and [...] bonus earned is forfeited. It is not possible to transfer bonus points to repeat examinations. The group project is used to test the practical learning content and competence profiles, including teamwork

introduction to object-oriented programming, including an overview of the language syntax and how to develop simple applications. Students will learn how to write custom classes and methods, and how to test their [...] Learning Objectives/Competencies to be Assessed Module work (ModA) Project Work in Groups -Details to follow- The group project is used to test the practical learning content and [...] Learning Objectives/Competencies to be Assessed Module work (ModA) Project Work in Groups 50% Presentation, similar to board presentation at annual shareholder meeting 50% written

Practical Machine Learning Tools and Techniques, Morgan Kaufmann, 2018. A. Géron: Hands-on Machine Learning with Scikit-Learn, Keras and Tensor Flow, O’Reilly, 2019. S. Raschka: Machine Learning mit Python [...] Verfahren des Supervised und des Unsupervised Learning • Implementierung und Anwendung von Machine Learning-Methoden in einer Software-Bibliothek (z.B. Scikit-learn) Lehrmaterial / Literatur Teaching [...] TensorFlow 2 und Scikit-learn: das Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics, mitp-Verlag, 2021. C. M. Bishop: Pattern Recognition and Machine Learning, Springer Verlag, 2016