electrical efficiency up to 5 % points. Natural gas is transported under high pressure in order to reduce the volume flow rate. At the end of the line, high pressure must be reduced to the pressure level [...] generator could recover a portion of the energy which was necessary to bring the gas to the original high pressure level (Fig 1a). In addition to that, there is another interesting application that should [...] impulse turbine design are the ability to process very high pressure ratios per stage and the option to design the turbine stage with partial admission due to the fact there is no pressure drop across

the capacitor can supply – decreases from 417 var to 192 var. This corresponds to a theoretical decline of interfacial capacitance by 7% from 106 F to 98 F (see below). 5.2 The nature of the ageing [...] of 150 As and a minimum capacitance of 33 F. ∆U dropped to 4.5 V depending on the operating voltage of the starter (12–18 V). According to the recommendations of EUCAR [4] – an European association [...] Constant current discharge at rated voltage 3.1 Discharge according to IEC 40/1378 The easy method in Figure 12 according to the IEC 40/1378 standard [8] provides a more or less correct estimation

the capacitor can supply – decreases from 417 var to 192 var. This corresponds to a theoretical decline of interfacial capacitance by 7% from 106 F to 98 F (see below). 5.2 The nature of the ageing [...] of 150 As and a minimum capacitance of 33 F. ∆U dropped to 4.5 V depending on the operating voltage of the starter (12–18 V). According to the recommendations of EUCAR [4] – an European association [...] Constant current discharge at rated voltage 3.1 Discharge according to IEC 40/1378 The easy method in Figure 12 according to the IEC 40/1378 standard [8] provides a more or less correct estimation

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 [...] accordance with our mission, we seek to educate our stu- dents to become competent, responsible and decisive actors; but first and foremost, our goal is to understand the OTH’s academic and [...] Commitment to PRME In February 2014, the Ostbayerische Technische Hochschule Amberg-Weiden (OTH) adopted the UN Principles for Responsible Management Education (PRME) and decided to support the

the central bank to reduce its response to current inflation, thus enabling it to avoid inefficient reactions to cost push shocks. One reason why we consider these results to be interesting [...] Taylor rule and to 6.2% (6.4%) for the speed limit rule. One explanation for the welfare gain compared to the standard rules is that responding to money growth allows the central bank to reduce its [...] response to inflation in both the TRM and the SPLM rule, thus enabling it to avoid inefficient reactions to cost push shocks. By contrast, augmenting the speed limit rule with a response to the output

Machine learning is a sub-area of artificial intelligence that allows computers to self-learn without being pro- grammed explicitly [7]. In a type of machine learning called supervised learning, a sequence [...] Machine learning attacks, which can be used to generate a mathematical model of a strong PUF, cannot be applied to POKs. A mathematical model of a PUF allows the generation of the response to any chal- [...] Within this context, we aim to bring our university’s established cooperation models more closely together in order to unleash further synergies. As such, we are open to fresh ideas, and collaboration

To reflect the shift to future workplace trends, the curriculum needs to be adjusted. Similarly, to successfully make the transition into a highly digitalized workplace, it is essential to explain [...] and techno- logical skills on their ability to obtain work in the future; ultimately, we decided to research this issue to gain better insights. According to the American Psychological Associ- ation [1] [...] an impact in the years to come [11]. Future workplace design concepts are already beginning to take shape [10]. To be ready for the changes that will occur, it is essential to understand how these megatrends

scroll down to the button “To Payment (ePayment)” in order to pay the student union fee (72 Euros) and the semester ticket (90 Euros) amounting to 162 Euros. Note: It may take up to one week for the [...] -programmes/. There you will also find the right person to contact with your questions. According to the legal provisions, we have to inform you that the notification of admission must be revoked [...] term due to a delay in the visa process, his/her enrolment will not be cancelled, but it is imperative that he/she can come to Germany and start studying on campus as soon as possible, in order to limit

steht allen Studieren-den zu Verfügung (http://blackboard.fh-amberg-weiden.de oder http:// www.meet-to-learn.de). Aktuell unterstützt Blackboard über 100 Lehrveranstaltungen in unterschiedlichen [...] n Meeting (ESAM), Brisbane, Juli 2007 • 34th Conference of the European Association for Re- search in Industrial Economics (EARIE), Valencia, Sep- tember 2007 • Far Eastern Meeting of [...] e Patentanmeldung Nr. 07008635.0- 2424 vom 27.04.2007 • Höß, A., Steuerer, M.: CAN connected to FlexRay - a basic idea of the conversion process of FlexRay and CAN data; Embedded World

eigenverantwortliches Werken (Projektarbeit unter Nutzung des Hochschul- Lernmanagementsystem meet-to-learn.de) Art der Prüfung (Studienarbeit, Klausur, Leistungsnachweise) schriftliche Prüfung [...] zu durchlaufen. Von der Ideenfindung, Storyboard, der Medienwahl, über Briefings, Pre-production-Meetings, in denen Inhalte und Ideen überprüft werden. Die Diskussion in der Gruppe über den aktuellen [...] Day V, 11. Mai 2007, 3. Lengerich [u.a.], Pabst Science Publ., 2007 4. Bousquet, Michele: How to cheat in 3ds Max 2009, Amsterdam, Focal Press/Elsevier, 2008 5. Wendt, Volker: 3ds Max 9 Workshops

Prüfungsvorbereitung = 90 h = 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] Prüfungsvorbereitung = 90 h = 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] Prüfungsvorbereitung = 60 h = 90 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden

Filmmaker’s Eye: Learning (and Breaking) the Rules of Cinematic Composition. Focal Press, New York · Riley, C. (2009): The Hollywood Standard. The Complete and Authoritative Guide to Script Format and [...] Eigenstudium: 75h (Vor-/ Nach-bereitung, Prüfungsvorbereitung) Lernziele/Qualifikationen des Moduls Learning Outcomes page 8 Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden [...] Eigenstudium: 75h (Vor-/ Nach-bereitung, Prüfungsvorbereitung) Lernziele/Qualifikationen des Moduls Learning Outcomes page 10 Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden

had been given to questions of disposition – the development of attitudes and values, and the emotional component of human experience and learning. There was a strong desire to move forward from [...] The demographic change leads to far-reaching consequences in human resource management of organizations. The authors illustrate how imperative it is that learning, didactics, and human resource [...] resource development are custom-tailored to the different life stages and therefore are able to ensure sustainability of employability. Schlüsselwörter: Lernen, Didaktik, Neurodidaktik

had been given to questions of disposition – the development of attitudes and values, and the emotional component of human experience and learning. There was a strong desire to move forward from [...] The demographic change leads to far-reaching consequences in human resource management of organizations. The authors illustrate how imperative it is that learning, didactics, and human resource [...] resource development are custom-tailored to the different life stages and therefore are able to ensure sustainability of employability. Schlüsselwörter: Lernen, Didaktik, Neurodidaktik

Machine Learning mit Scikit-Learn, Keras und TensorFlow“, O'Reilly; 2. Edition (2020) Bishop, C.M.: „Pattern Recognition and Machine Learning“, Springer (2006) Chollet, F.: „Deep Learning with Python“ [...] Seite 102 von 116 6.6.3 Machine Learning for Engineers – Einführung in Methoden und Werkzeuge Machine Learning for Engineers – Introduction to Methods ans Tools Zuordnung zum Curriculum [...] und verschiedener Algorithmen des Machine Learning. • Methodenkompetenz: Die Studierenden sind befähigt, verschiedene Verfahren des Machine Learnings praktisch anzugehen und die Ergebnisse zu

Selbststudium Prüfungsvorbereitung = 90 h = 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] Selbststudium Prüfungsvorbereitung = 90 h = 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] Nachbereitung Prüfungsvorbereitung = 60 h = 90 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden

t: 90 h Eigenstudium: 60 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

from the 1970s to 1998 can well be captured by a standard Taylor rule according to which the central bank responds to the output gap and to deviations of inflation from target, but not to monetary growth [...] being the subsample closest to the benchmark ex post series). In order to find out how much of the forecast error is due to later revisions in the GDP data and how much to changes in the perception [...] thus intended to anchor long-term inflation expectations as well as the trend rate of inflation. Another important aspect was to give guidance to other policy makers, especially to fiscal policy

Machine Learning und Data Mining: Verständnis für die Anwendung von Machine-Learning- und Data-Mining-Techniken auf geografische Daten, einschließlich Supervised Learning, Unsupervised Learning, Deep [...] Choroplethenkarten oder interaktive Dashboards. • Geodatenanalyse mit Machine Learning: Anwendung von Machine-Learning-Algorithmen auf geografische Daten zur Vorhersage von Ereignissen, Mustererkennung [...] 60 h Eigenstudium 30 h Prüfungsvorbereitung Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden

quarters Up to 4 4 to 8 2007Q4 Notes: RMSFE over time for the VAR with GDP growth, the term spread and currency. Up to 4 (4 to 8) refers to an average RMSFE for horizons 1 to 4 (4 to 8). [...] (gdp) refers to real GDP, (m1) to M1 plus sweeps into money market deposit accounts, (cu) to currency in circulation, (cr_pr) to credit to the private non-financial sector) and (mo_pr) to total mortgages [...] background, our aim is to revisit and explore the informational content of money and credit, in order to draw conclusions as to whether stronger attention should be set on such variables to improve the forecasting

l Management & Business Ethics Master‘s Thesis (20 ECTS) & Colloquium (5 ECTS) & Service Learning (5 ECTS) Summer Semester (30 ECTS) Winter Semester (30 ECTS) Final Semester (30 ECTS) [...] Innovation = Electives on General Management, Corporate Responsibility & Key Qualifications (subject to change) … …

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

Machine Learning mit Scikit-Learn, Keras und TensorFlow“, O'Reilly; 2. Edition (2020) Bishop, C.M.: „Pattern Recognition and Machine Learning“, Springer (2006) Chollet, F.: „Deep Learning with Python“ [...] Seite 66 von 85 4.1.3 Machine Learning for Engineers – Einführung in Methoden und Werkzeuge Machine Learning for Engineers – Introduction to Methods ans Tools Zuordnung zum Curriculum [...] verschiedener Algorithmen des Machine Learning. • Methodenkompetenz: Die Studierenden sind befähigt, verschiedene Verfahren des Machine Learnings praktisch anzugehen und die Ergebnisse zu

true Author Thomas Niehoff producer Microsoft: Print To PDF access_permission:can_modify true pdf:docinfo:producer Microsoft: Print To PDF pdf:docinfo:created 2024-11-28T07:55:31Z Microsoft [...] PDFParser creator Thomas Niehoff meta:author Thomas Niehoff pdf:producer Microsoft: Print To PDF meta:creation-date 2024-11-28T07:55:31Z created 2024-11-28T07:55:31Z access_permissio [...] of Intent für Projektantrag Keine Projektbeteiligung OTH Regensburg Förderprojekt LEAP Learning Poses Bildverarbeitung 2018- 2021 50 % Gemeinsamer Mitarbeiter

Machine Learning mit Scikit-Learn, Keras und TensorFlow“, O'Reilly; 2. Edition (2020) Bishop, C.M.: „Pattern Recognition and Machine Learning“, Springer (2006) Chollet, F.: „Deep Learning with Python“ [...] Seite 66 von 86 4.1.3 Machine Learning for Engineers – Einführung in Methoden und Werkzeuge Machine Learning for Engineers – Introduction to Methods ans Tools Zuordnung zum Curriculum [...] verschiedener Algorithmen des Machine Learning. • Methodenkompetenz: Die Studierenden sind befähigt, verschiedene Verfahren des Machine Learnings praktisch anzugehen und die Ergebnisse zu