AI Security and Privacy
AML Advanced Topics in Machine Learning
AURE Autonomous robots
CVAE Computer Vision and AI
DEV Deep Vision
DPLE Deep Learning
EMI Embedded Intelligence
FL2 Foreign Language 2
SARA [...] MAI BC
Fächer
Name Langname
BLOCK Blockveranstaltung
INT International Affairs & Intercultural Meeting
PRS Programming Starter
ROS Robotics Starter
WEB_Ue Web-Technologies (Übung)
WEB_VL Web-Technologies
Inverted Classroom, Peer Instruction, Collaborative Learning, Problem
Based Learning, Learning on Demand, Micro-Learning)
3. Blended-Learning: Modelle, Vor- und Nachteile, Best-Practice Beispiele [...] (2018). Handbuch E-Learning: Lehren und Lernen mit digitalen Medien. UTB.
Arshavskiy, M. (2017). Instructional Design for eLearning: Essential guide for designing successful eLearning courses. CreateSpace [...] Dirksen, J. (2016). Design for How People Learn. New Riders.
eLearning Industry Inc, https://elearningindustry.com. Zuletzt geprüft am 11.08.2020.
eLearning Journal Online, https://www.elearning-journal
Inverted Classroom, Peer Instruction, Collaborative Learning, Problem
Based Learning, Learning on Demand, Micro-Learning)
3. Blended-Learning: Modelle, Vor- und Nachteile, Best-Practice Beispiele [...] (2018). Handbuch E-Learning: Lehren und Lernen mit digitalen Medien. UTB.
Arshavskiy, M. (2017). Instructional Design for eLearning: Essential guide for designing successful eLearning courses. CreateSpace [...] Dirksen, J. (2016). Design for How People Learn. New Riders.
eLearning Industry Inc, https://elearningindustry.com. Zuletzt geprüft am 11.08.2020.
eLearning Journal Online, https://www.elearning-journal
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
and Machine Learning, Springer, 2006.
F. Chollet: Deep Learning with Python, Manning, 2018. (deutsche Version bei mitp Professional, 2018)
A. Géron: Hands-On Machine Learning with Scikit-Learn, Keras, and [...] Verfahren des Supervised Learning (z.B. baumbasierte Ansätze, SVM, Ensemble-Methoden)
• Grundlegende Verfahren des Unsupervised Learning (z.B. PCA, k-means Clustering)
• Machine Learning in Python mit der [...] Hands-on Machine Learning with Scikit-Learn, Keras and Tensor Flow, O’Reilly, 2018
W. McKinney: Datenanalyse mit Python, O’Reilly, 2018
S. Raschka: Machine Learning mit Python: das Praxis-Handbuch für
Getting to know and learning to assess basic business management methods.
• Social competence: Students learn how to convey information clearly, actively listen, and adapt their communication style to different [...] al Competence: Interns learn to
apply theoretical knowledge learned in the classroom to real-world situations, enhancing their expertise. • Social Competence: Interns learn to
take initiative, work [...] Gewichtung
Learning Objectives/Competencies to be Assessed
Zu prüfende Lernziele/Kompetenzen
portfolio
examination
Learning portfolio (100%) The Learning Portfolio is used to check the entire
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 [...] und verschiedener Algorithmen des
Machine Learning.
• Methodenkompetenz:
Die Studierenden sind befähigt, verschiedene Verfahren des Machine Learnings praktisch anzugehen und die Ergebnisse zu
Nachbereitung
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 = 90 h
= 150 h
Lernziele / Qualifikationen des Moduls
Learning Outcomes
Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] Nachbereitung
Prüfungsvorbereitung = 90 h
= 150 h
Lernziele / Qualifikationen des Moduls
Learning Outcomes
Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden
Zusammenhang mit Energiespeicherung (Wasserstoff, Elektrolyse, Brennstoffzellen, power to gas,
power to liquid, biomass to liquid, CARNOT-Batterie, adiabate Druckluft etc.), Flexibilisierung von Kraft-Wär [...] Nachbereitung
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 = 90 h
= 150 h
Lernziele / Qualifikationen des Moduls
Learning Outcomes
Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden
ce): The students are able to combine knowledge and skills
from the basic modules to derive and develop new solutions. The have the competence to discuss issues related to energy storage in
interdisciplinary [...] Psychological Association. The Official Guide to APA Style (7th Ed.) Washington.
Carlson, K. A. & Winquist, J. R. (2017). An Introduction to Statistics. An Active Learning Approach. SAGE.
Creswell, J. W. & Plano [...] Ability to recognise legal problems in energy/environmental law, identification of the most important applicable regulations
Independent application of regulations relevant to practice
Ability to identify
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
achievements of previous studies can only be credited if the learning outcome can be attributed to a Master
level or corresponds to the learning outcome of a module in the OTH Master's degree programme. [...] Berechnung
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 [...] 3.4 Master´s-Degree and Service Learning
Masterabschluss und Service Learning
ID Name
02003 Colloquium
00850 Master´s Thesis
00851 Service Learning
page
8
accordimg to catalogue
One Intercultural
Competence Course
accordimg to catalogue
One Intercultural
Competence Course
accordimg to catalogue
.
One advanced course
according to
Catalogue [...] advanced course
according to
Catalogue
One advanced course
according to
Catalogue
One of the
soft skills
according to
catalogue
One advanced course
according to
Catalogue
One advanced [...] advanced course
according to
Catalogue
One advanced course
according to
Catalogue
One advanced course
according to
Catalogue
One advanced course
according to
Catalogue
Phase I:
3.
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 [...] 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
• [...] 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
generative, AI-based design. Here you will learn to develop visual concepts for apps, websites and interactive experiences, to design intuitive interfaces and to reach and inspire people using media design [...] development, for example. Application Admission requirements Would you like to apply for the Digital Design course? To be admitted to the course, you need a general higher education entrance qualification, [...] compelling visual communication. Designers play a crucial role in optimizing products and services to meet the needs and expectations of users and communicate them consistently and effectively. Depending
Institute of Applied
Language Studies
City Center Tour – from UWB campus to Brewery
Pilsner Urquell Brewery Tour
Dinner
Departure to Amberg
Wednesday
June 4th
Day 3
Amberg + Weiden, Germany [...] Workshop “Vitality for Performance” by Prof. Jan von Zwieten
Trip to Weiden
Campus Tour, Social Event KOMOpivo (Beer tasting)
Departure to Amberg
page
Czech-German Staff Week 2025 [...] AW, UWB + EUPeace Alliance
Participants’ presentations of their institutions
Coffee Break and Meeting with faculty representatives
Campus Tour and City Center Tour
Dinner
Tuesday
June 3rd
Institute of Applied
Language Studies
City Center Tour – from UWB campus to Brewery
Pilsner Urquell Brewery Tour
Dinner
Departure to Amberg
Wednesday
June 4th
Day 3
Amberg + Weiden, Germany [...] Workshop “Vitality for Performance” by Prof. Jan von Zwieten
Trip to Weiden
Campus Tour, Social Event KOMOpivo (Beer tasting)
Departure to Amberg
page
Czech-German Staff Week 2025 [...] AW, UWB + EUPeace Alliance
Participants’ presentations of their institutions
Coffee Break and Meeting with faculty representatives
Campus Tour and City Center Tour
Dinner
Tuesday
June 3rd
forschung
Studi-Kino
Studi-Kino
Studi-Kino
Kirschblüten-
festival
Speed
Meeting
Billiard &
Dart
Good to Know
8. April Bewerbungsworkshop AM
9. April Bewerbungsworkshop WEN
29. April [...] page
Bierpong-
Stammtisch
Opening Party
Studieninfotag
Studikino
Ersti-Tag
Good to Know
20. März Medieninfotag
24.-27. März Vorverkauf Opening
10
17
24
31
11
18 [...]
Studi Kino
Studi-Kino
Studi-Kino
Start Prüfungs-
anmeldung
Careerday
Weiden
Good to Know
21. Mai Simulierte Vorstellungsgespräche mit Wirtschaftsjunioren
5
12
19
26
6
abstract
Payment costs for consumers are difficult to determine, are not recorded in an internationally
harmonised manner and vary significantly from country to country. They are incurred in many forms,
for [...] disclosure. To determine the total
costs and for international comparisons, different key figures are calculated, such as the cost per
transaction, as a percentage of the transaction value or relative to GDP [...] s, NBER
Working Paper 28208, Dezember.
Górka, J. (2018), Interchange Fee Economics: To Regulate or Not to Regulate?, Palgrave
Macmillan, Cham.
Greene, W. (2019), Econometric Analysis, 8. A.
abstract
Payment costs for consumers are difficult to determine, are not recorded in an internationally
harmonised manner and vary significantly from country to country. They are incurred in many forms,
for [...] disclosure. To determine the total
costs and for international comparisons, different key figures are calculated, such as the cost per
transaction, as a percentage of the transaction value or relative to GDP [...] s, NBER
Working Paper 28208, Dezember.
Górka, J. (2018), Interchange Fee Economics: To Regulate or Not to Regulate?, Palgrave
Macmillan, Cham.
Greene, W. (2019), Econometric Analysis, 8. A.
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 [...] 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
technology, programming, art and video editing • Respect privacy , but also like social contacts and meeting new people • Non-smoker and no pets What I am looking for: • Location: Near OTH Amberg-Weiden or [...] furnished • Budget: 400-500 If you have suitable accommodation or know anything, I would be very happy to hear from you . I am grateful for any help! Thank you! 📩 Email: emrantawsif3@gmail.com 📞 WhatsApp:
electives for focusing on your specific career goal Practical experience-based learning: Two integrated internships Project-based learning with real industry cases Entrepreneurial projects developing digital solutions [...] Information for companies Double Degree MDT (current) Academic structure Programme advantages Partners How to apply Contacts Project funding DILLUGIS project Profile Application Structure Insights Contact Partners [...] Information for companies Double Degree MDT (current) Academic structure Programme advantages Partners How to apply Contacts Project funding DILLUGIS project You are here: Studies Study offers Study programmes
attributed, in part, to the international distribution of production sites and the
heterogeneity of the product portfolio. However, various methodologies and principles
have been devised to assist in overcoming [...] 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 [...] Energieeffizientes eKanban-
System mit autonomen Sensormodulen zur Füllstandsmessung und Reinforcement
Learning zur Messintervallanpassung.
https://doi.org/10.2195/LJ_PROC_KREUTZ_DE_202112_01
Lang, J., Dörner
European Central Bank (ECB) to pursue its price stability objective.
The first serious challenge for the ECB arose since 2021, when the inflation rate sharply rose
above 10% due to negative supply shocks [...] Bundesbank was able to combat price increases much more strongly and
sustainably than most other countries. The independence of Deutsche Bundesbank from
politics contributed largely to its success. Whether [...] Whether the ECB will succeed in lowering inflation
to its target level of 2% over the medium term remains to be seen. At the beginning of 2025,
with 2.5 % the inflation rate in the Euro area and Germany