refer to the applicable overview of the forms of examination at the OTH Amberg-Weiden
*2) Please additionally provide information on the weighting (in % share) and, if applicable, also a reference to a bonus [...] J., J. Pipher und J. H. Silverman: An Introduction to Mathematical Cryptography, 2. Auflage, Springer, 2014.
Katz, J. und Y. Lindell: Introduction to Modern Cryptography, 2. Auflage, CRC Press, 2015. [...] 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 Praxis-Handbuch
(2.1) to (2.3). All three parties conclude the contract provided that the
contractually agreed payments (per project) to the entrepreneur, to the bank, and to the
household are in line with (2.1) to (2.4) [...] reduces the ability to fund investment.
Finally, an economy prone to a simultaneous monetary policy and macroprudential
policy shock responds almost equally to an economy prone to a single monetary policy [...] minimum return that is necessary to induce bankers to monitor is given by
Rb
t = µIt
∆p
, (2.2)
and the minimum return that is necessary to induce entrepreneurs to choose the project
variant without
Material / Reading
Aktuelle Literatur insbesondere aus IEEE 802.3 inkl. TSN
A Beginner’s Guide to Ethernet 802.3, EE-269
The Ethernet Sourcebook, ed. Robyn E. Shotwell (New York: North-Holland, 1985) [...] Verlag.
Furrer, Industrieautomation mit Ethernet-TCP/IP und Web-Technologie, Hüthig
NIS, Introduction to Linux and Real-Time Control (Web Skript)
Bruynickx, Real-Time and Embedded Guide (Web Skript)
Popp [...] Learning (z.B. PCA, k-means Clustering)
• Machine Learning in Python mit der Bibliothek Scikit-learn
Lehrmaterial / Literatur
Teaching Material / Reading
page
C. M. Bishop:
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
concepts and their functionality
Introduction to Robot operation system (ROS)
Introduction to mapping and pathfinding algorithms
Introduction to robotic simulation tools
Insight into robot [...] true
Author Werner Bogner
producer Microsoft: Print To PDF
access_permission:can_modify true
pdf:docinfo:producer Microsoft: Print To PDF
pdf:docinfo:created 2024-07-21T13:13:25Z
Microsoft [...] 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
Definitive Guide to ARM Cortex-M3 and Cortex-M4 Processors, Newnes, 2013
D. W. Lewis: Fundamentals of Embedded Software with the ARM Cortex-M3, Pearson, 2012
M. Trevor: The Designer’s Guide to the Cortex-M [...] Hands-on Machine Learning with Scikit-Learn, Keras and Tensor Flow, O’Reilly, 2019.
S. Raschka: Machine Learning mit Python und Keras, TensorFlow 2 und Scikit-learn: das Praxis-Handbuch für Data Science [...] Laura: Wireshark 101. Eine Einführung in die Protokollanalyse, mitm, 2013.
Jacobson D.: Introduction to Network Security, CRC, 2009.
Kurose J. F. und K. W. Ross: Computer Networking – A Top-Down Approach
for Engineers – Einführung in Methoden und Werkzeuge
Machine Learning for Engineers – Introduction to Methods ans Tools
Zuordnung zum
Curriculum
Classification
Modul-ID
Module ID
Art [...] Matlab seien hier insb. die frei verfügbaren Python-Bibliotheken zu diesem Thema erwähnt, z.B. Scikit-Learn,
Keras oder Tensorflow. Auch verschiedenste (Massen-)Daten stehen frei zur Verfügung, so dass ein [...] mit Matlab/Python: Anwendungsfälle auf echten Datensätzen
• Einführung in Python-Kits: Scikit-Learn, Keras, Tensorflow
• Predictive Maintenance: Datenbasierte Vorhersage von Maschinenausfällen
Seite 50 von 115
4.5 Einführung gewerblicher Rechtsschutz
Introduction to Intellectual Property Law
Zuordnung zum
Curriculum
Classification
Modul-ID
Module [...] for Engineers – Einführung in Methoden und Werkzeuge
Machine Learning for Engineers – Introduction to Methods ans Tools
Zuordnung zum
Curriculum
Classification
Modul-ID
Module ID
Art [...] Matlab seien hier insb. die frei verfügbaren Python-Bibliotheken zu diesem Thema erwähnt, z.B. Scikit-Learn,
Keras oder Tensorflow. Auch verschiedenste (Massen-)Daten stehen frei zur Verfügung, so dass ein