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potentials of use for e- learning. On the basis of a framework the question is pursued to what extent today’s solutions also assure sustained success. It turns out that e-learning obviously has not found [...] Gradmesser für den Erfolg von E-Learning. 3 Gestaltungsfelder für eine nachhaltige Implementierung von E-Learning Zur Beschreibung der gegenwärtigen Situation von E-Learning an den bayerischen Fachhochschulen [...] Ansbach, E-Learning-Einsatz in die Zielvereinbarung aufzunehmen, versuchte die Hochschule den Rückstand aufzuholen und installierte einen Arbeitskreis E-Learning und ein Kompetenzzentrum E-Learning. Der

you want to take part in an exchange semester or internship, you have to register via the platform. Incoming students have to be nominated by their home university. Outgoing students just go to the platform [...] platform to sign up. Watch this tutorial to learn how the system works.

you want to take part in an exchange semester or internship, you have to register via the platform. Incoming students have to be nominated by their home university. Outgoing students just go to the platform [...] platform to sign up. Watch this tutorial to learn how the system works.

first have to transfer money from their TARGET-PM accounts to their TIPS-DCA before they can use it for instant payments (see figure 8a). The time to transfer funds from TARGET-PM accounts to TIPS-DCA [...] area countries, but its volume is subject to approval by 1 Some NCBs also provide accounts to nonbanks such as private households and enterprises , but only to a very limited extent. 2 Since the i [...] Distributed Ledger Technology (DLT) to store information on a blockchain or “account-based” giving money holders access to ordinary central bank accounts. According to the latest survey by the Bank for

first have to transfer money from their TARGET-PM accounts to their TIPS-DCA before they can use it for instant payments (see figure 8a). The time to transfer funds from TARGET-PM accounts to TIPS-DCA [...] area countries, but its volume is subject to approval by 1 Some NCBs also provide accounts to nonbanks such as private households and enterprises , but only to a very limited extent. 2 Since the i [...] Distributed Ledger Technology (DLT) to store information on a blockchain or “account-based” giving money holders access to ordinary central bank accounts. According to the latest survey by the Bank for

OTHmag 2018.01 31 OTH Vision Die Nächte der großen Ideen meetDigitals Start-up Nights an der OTH Amberg-Weiden Bei den beiden meetDigitals Start-up Nights an der OTH in Weiden und Amberg kam zusammen [...] Die Themen des Abends waren unter anderem: Wie funktioniert App-Marketing?, KI – Machine Learning – Deep Learning, Big Data in Weiden oder Marketing – Online-International. Auch bahnbrechende Erfindungen [...] der 1. Start-up Night in Weiden Mehr über meetDigitals erfahren Sie unter: www.meetdigitals.com Alexander Hofmann, Louis Bauer und Tobias Walbert von meetDIGITALS 5. – 6. März 2018 / OTH in Weiden

Mathematik 1 5 5 SU/Ü Kl 60 1.4 Informatik Grundlagen 5 4 SU/Ü Kl 90 1.5 Ethik, Kognition & Meeting 5 4 SU/Ü Präs 1.6 Betriebswirtschaftslehre & Innovationsmanage- ment 5 4 SU Kl 90 2.1 Symbolische [...] Computernetzwerke 5 4 SU/Ü, Pr Kl 90 3.6 Software Engineering für KI 5 5 SU/Ü Kl 90 4.1 Machine Learning 1 5 4 SU/Ü Kl 60 7 1 Lfd. Nr. 2 Modul 3 ECTS 4 SWS 5 Art der Lehrver- [...] 5.5 Praxisseminar & Praxismeeting 5 4 Sem Präs 5.6 KI SpringSchool 5 4 Sem Präs 6.1 Machine Learning 2 5 4 SU/Ü, Pr ModA 6.2 KI Projekt Gaming 5 4 Pr ModA 6.3 Visualisierungen & Erklärungen 5 4

Practical Machine Learning Tools and Techniques, Morgan Kaufmann, 2018. A. Géron: Hands-on Machine Learning with Scikit-Learn, Keras and Tensor Flow, O’Reilly, 2018 Raschka: Machine Learning mit Python: das [...] Regularisierung) • Grundlegende Verfahren des Supervised Learning • Grundlegende Verfahren des Unsupervised Learning • Data Preprocessing • Machine Learning in Python Lehrmaterial / Literatur Teaching [...] ggf. auch einen Hinweis auf ein Bonussystem führen Machine Learning Machine Learning Zuordnung zum Curriculum Classification Modul-ID Module ID Art des Moduls Kind

20 h Übungsleistungen: 70 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] h Klausurvorbereitung: 30 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] h Klausurvorbereitung: 30 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden

Publikationen Publications • Bayer, S., Hilgarth, B.: Adaption of Cybernetic e-Learning Management Model to Blended Learning scenarios in international acting industry - a Case Study. (in internal review [...] 151-167, Springer, Wien (2012) • Hilgarth, B.: E-Learning Success in Action – from case study research to the creation of the Cybernetic e-Learning Management Model. International Journal of Computer [...] Hilgarth, B.: BPM@KMU - Designing e-Learning for the Intro- duction of BPM in Small- and Medium-sized Enter-prises. In S-BPM ONE - Learning by Doing - Doing by Learning, Proceedings of the Third International

the methods being taught to students in their academic programs. It therefore appeared only logical to involve the students as well and to give them the opportunity to apply theoretical principles [...] secondary- school students the opportunity to get to know the university and its certifi cate & degree programs, and to participate in hands-on internships to get a taste of a particular technical [...] and technical risks, thus enabling them as future engineers or managers to develop solutions to current issues related to diversity, environmental ma- nagement, supply-chain management, violation

the methods being taught to students in their academic programs. It therefore appeared only logical to involve the students as well and to give them the opportunity to apply theoretical principles [...] secondary- school students the opportunity to get to know the university and its certifi cate & degree programs, and to participate in hands-on internships to get a taste of a particular technical [...] and technical risks, thus enabling them as future engineers or managers to develop solutions to current issues related to diversity, environmental ma- nagement, supply-chain management, violation

6-10 2. Russisch: Tamara Blum, Elena Gorelova „The road to success - Путь к успеху“ 1, L 7 – 10 Tamara Blum, Elena Gorelova „The road to success - Путь к успеху“ 2L 2 3. Chinesisch: „Lóng neu [...] Kontaktzeit: 60 h Eigenstudium: 120 h Gesamtaufwand: 180 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] Kontaktzeit: 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

will work on real-life projects, and profit from virtual and in situ input sessions. They will learn to cooperate in teams and create goal-driven solutions. • We will encourage ‘thinking outside the [...] several experts on sustainability and key skills for project management and teamwork come together to learn, experience, share, and implement sustainability concepts. International Summer School on Su [...] at hotel Breakfast at hotel Breakfast at hotel/ check out/ leave bags at hotel 08:00 Transfer/Walk to ISSS-location 08:30 Welcome & Introductions What's up today? company tour/input session What's up

Level II is to teach language and cultural basics. This lays the foundations for a longer stay abroad and for further independent learning. Sufficient communication skills are achieved to communicate in [...] 4 levels. At the OTH Amberg-Weiden, levels I to III are currently offered, depending on the language. The aim of the basic level and UNIcert® - Level I is to acquire basic knowledge as a solid basis for [...] CEFR-B2. UNIcert® - Level III is an advanced level of language competence that allows you to study abroad or to move confidently in a professional environment (recommended mobility level). UNIcert® - Level

in the mid-1990s. Our mission: To provide impulses, to make it possible to study close to home, to contribute innovative knowledge to regional development and thus to support structural change. A look [...] geometri- cal MM group includes point-to-point, point-to-curve and curve-to-curve matching (see Figure 1). Road 1 Road 2 P1 P2 Point to Curve Point to Point Curve to Curve Figure 1: Three variants of [...] zielgruppen- spezifisch und adäquat konzipiert werden. Abstract To enable students to work with research methods, approaches to learning about, for and through research can be realised within higher education

Berechnung des Workload According to § 8 para. 1 sentence 3 BayStudAkkV, the following applies: One credit point is based on a workload of 25 to 30 hours. To calculate the workload, a distinction [...] the preparation and follow-up of the learning material • Exam preparation = hours spent preparing for an examination event • Examination workload = hours required to complete the examination • Internships [...] university must be submitted to the Students` Office after enrollment at OTH. Subsequently, the respective lecturers will check whether the subjects already taken correspond to the requirements of our subjects

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

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

Géron, A.: „Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow“, O’Reilly; 2. Edition (2020) • Bishop, C.M.: „Pattern Recognition and Machine Learning“, Springer (2006) Aktuelle L [...] Zusammenhang mit Energiespeicherung (Wasserstoff, Elektrolyse, Brennstoffzellen, power to gas, power to liquid, biomass to liquid, etc.), Flexibilisierung von Kraft-Wärme-Kälte-Kopplungsprozessen durch die [...] conditions - Methods for solving the flow equations - Introduction to turbulence modeling - Methods for meshing - Applications to sample problems with commercial or open software The contents

required to bring possible topics to the professors or lecturers and to coordinate them with them. In addition, topics that are brought to the attention of the university from outside or are related to research [...] work is to be written - Weighting of the work and number of ECTS for the work - whether an oral colloquium is to be taken in addition to the written work - Whether subject hours are required to register [...] n is committed to the recommendations of the German Research Foundation (DFG) to ensure good scientific practice (reference to document on the homepage). This applies in particular to the identification

required to bring possible topics to the professors or lecturers and to coordinate them with them. In addition, topics that are brought to the attention of the university from outside or are related to research [...] work is to be written - Weighting of the work and number of ECTS for the work - whether an oral colloquium is to be taken in addition to the written work - Whether subject hours are required to register [...] n is committed to the recommendations of the German Research Foundation (DFG) to ensure good scientific practice (reference to document on the homepage). This applies in particular to the identification

/Pipher, J./Silverman, J. H. (2014): An Introduction to Mathematical Cryptography, 2. Auflage, Springer · Katz, J./Lindell, Y. (2015): Introduction to Modern Cryptography, 2. Auflage, CRC Press · Lipton [...] Synthese gesprochener Sprache (text-to-speech) · Sprachdialogsysteme · Textanalyse, Dokumentanalyse, OCR · Clustering/Klassifikation · Neuronale Netze und Deep Learning Lehrmaterial/Literatur Teaching [...] h Vor-/Nachbereitung: 45 h PrA: 45 h Gesamt: 150 h Lernziele/Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden