Intercultural Competence
Machine Learning (English) 1. Levi
2. Bergler
PrA Project Work: Conception and
prototypical implementation of a
machine learning use case
Natural Language Processing [...] arrive punctually 30 minutes before the start of the examination in order to be seated in the lecture
hall. The candidates have to bring a valid identity card or passport.
2) Contact with persons other [...] and
task-specific AI-project (project
documentation and presentation)
Deep Reinforcement Learning 1. Nierhoff
2. Bergler
ModA
Energy Management with AI
Methods
1. Lechner
2. Wiehl
Practical Machine Learning Tools and Techniques, Morgan
Kaufmann, 2018.
• A. Géron: Hands-on Machine Learning with Scikit-Learn, Keras and Tensor Flow, O’Reilly, 201.
• S. Raschka: Machine Learning mit Python [...] Einsatzgebiete von Reinforcement Learning
Problemstellung und Grundbegriffe
Markov-Prozesse
Temporal Difference Learning (z.B. Q-Learning, SARSA)
Deep Reinforcement Learning
Lehrmaterial/Literatur
Teaching [...] Nachbereitung sowie KI.Meeting)
Lernziele/Qualifikationen des Moduls
Learning Outcomes
Das Modul besteht aus zwei Vorlesungsteilen KI.Ethik und KI.Kognition sowie einem KI.Meeting.
Nach dem erfolgreichen
Kl 27.01.25
60 min
08.30 –
09.30 Uhr
Machine Learning (SPO alt) 1. Brunner
2. Pirkl
ModA
Machine Learning 1 (SPO neu) 1. Brunner
2. Pirkl
keine Kl 04.02.25
60 min [...] ---- ModA ---- ----
Deep Learning 1. Levi
2. Brunner
---- ModA ---- ---- Analyse und Bearbeitung einer
gegebenen Aufgabenstellung mit
Hilfe von Deep Learning;
prototypische Realisierung von [...] kleinen
Teams (neue SPO)
Künstliche Intelligenz 1
(Ethik & Nachhaltigkeit,
Interaktion & Meeting)
1. Heckmann
2. Ranisch
--- ÜbL Benotete Pflichtübungen (SPO alt)
page
2
Kl 27.01.25
60 min
08.30 –
09.30 Uhr
Machine Learning (SPO alt) 1. Brunner
2. Pirkl
ModA
Machine Learning 1 (SPO neu) 1. Brunner
2. Pirkl
keine Kl 04.02.25
60 min [...] ---- ModA ---- ----
Deep Learning 1. Levi
2. Brunner
---- ModA ---- ---- Analyse und Bearbeitung einer
gegebenen Aufgabenstellung mit
Hilfe von Deep Learning;
prototypische Realisierung von [...] kleinen
Teams (neue SPO)
Künstliche Intelligenz 1
(Ethik & Nachhaltigkeit,
Interaktion & Meeting)
1. Heckmann
2. Ranisch
--- ÜbL Benotete Pflichtübungen (SPO alt)
page
2
machine learning.
• Methodological competence: The students are able to practically apply various machine learning methods and to evaluate the
results.
• Personal competence: Ability to discuss [...] Personal competence: Ability to communicate about lightweight engineering; ability to work independently as well as in team to
solve a technical problem; ability to lifetime learning
Course Content
Inhalte [...] private situations. They learn to identify these situations and to appear interculturally competent.
• Personal competence: Students acquire the interdisciplinary ability to perform in a culturally
____ to ____.
This year, ____ received many submissions. In order to speed
up the review process, some low-quality papers will be
rejected directly based on TPC chairs' judgement.
We regret to inform [...] used with nouns referring to people, groups of
people, countries, and animals.
• No "Deep Learning's role in…", because DL is not a person!!!
→ "The role of Deep Learning in…"
• Lesen Sie zu weiteren [...] der Conf-Deadline!]:
• Research and Experience papers are limited to 10 pages excluding references
• Position papers are limited to 6 pages excluding references.
• Candidate Workshops:
• Workshop
Teaching, 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
Verfahren (z.B. XAI, Embedded AI, semi-/self-supervised learning, active learning, federated learning,
contrastive learning, transfer learning, DL für Audiosignale)
Lehrmaterial / Literatur
Teaching [...] 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 [...] 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
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Author Andrea Bäuml
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ME_Pr [...] hweis
ME Innovationsmanagement Steinhauser semesterbegleitender Leistungsnachweis
ME Machine Learning for Engineers Götz semesterbegleitender Leistungsnachweis
ME Maschinelles Sehen und Mustererkennung
biblatex: biber anstatt bibtex)
• Webartikel "What to do to switch to biblatex?"
https://tex.stackexchange.com/questions/5091/what-to-do-to-switch-to-biblatex
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author = {{Apache [...] https://tex.stackexchange.com/questions/5091/what-to-do-to-switch-to-biblatex https://tex.stackexchange.com/questions/5091/what-to-do-to-switch-to-biblatex
page
Prof. Dr.-Ing. Christoph P. Neumann [...] Neumann
Learn LaTeX in 30 minutes
255
Abschlussarbeiten
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Author Thomas Niehoff
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Microsoft [...] PDFParser
creator Thomas Niehoff
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access_permissio [...] of Intent für Projektantrag
Keine Projektbeteiligung
OTH Regensburg
Förderprojekt LEAP Learning Poses
Bildverarbeitung
2018-
2021
50 % Gemeinsamer Mitarbeiter
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