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
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 [...] 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 [...] 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
welcome to the OTH Amberg-Weiden. It's great that you have decided to study at our university. As
a first-semester student, it can sometimes be difficult to find your way around your studies. To help you [...] password for
the first time, you have to change it to a password of your choice and remember it well. Please note that it
might take up to 24 hours for your account to be activated.
Also note that your [...] Moodle
In addition to the notice board, you also receive important announcements from your lecturers via our
learning platform Moodle. Via MyOTH you can go directly to the website to log in with your user
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 [...] : 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 [...] 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
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 Fachh [...] 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
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 Fachh [...] 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
due to the difference between their answer and the one
provided in the test.
3) Suggest to STACK developers to expand the Extra Options settings to allow for changing the
decimal point to a comma [...] problems into the course provides an opportunity to engage students
and show them first-hand how the knowledge gained can be applied outside of the learning environment. The
duration of all instructional [...] students with different levels of mastering new material to pass the test at an
individual pace. For all the developed questions, in addition to the correct answer, a step-by-step solution is
offered.
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 [...] Hinweis auf ein Bonussystem führen
page
Machine Learning
Machine Learning
Zuordnung zum
Curriculum
Classification
Modul-ID
Module ID
Art des Moduls
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
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
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.
Kant, J. M., Scheiter, K. & Oschatz, K. (2017). How to sequence video modeling exam-
ples and inquiry tasks to foster scientific reasoning. Learning and Instruction, 52, 46–
58. doi:10.1016/j.learninstruc [...] Hiebert, J. & Carpenter, T. P. (1992). Learning and teaching with understanding. In D. A.
Grouws (Hrsg.), Handbook of research on mathematics teaching and learning (S. 65–
97). New York: Macmillan.
[...] effects of classroom mathematics teaching on
students’ learning. In F. K. Lester (Hrsg.), Second Handbook of Research on Mathe-
matics Teaching and Learning (S. 371–404). Charlotte: Information Age.
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University of Applied Sciences. Usage behaviour and learning success of the
students have been evaluated statistically and by accompanying surveys and used to further improve the
course setting and materials [...] Abstract
Digital mathematical STACK problems with automated feedback offer students opportunities to consolidate
their mathematical skills anywhere and anytime. Regular online tests for further i [...] Bochum)
and DIGITALE AUFGABENPOOL
MATHEMATIK2 (TH Köln)
Use of STACK
• Digital Mathematics Learning
Support Center (MLSC) and
• Moodle course areas for selected
Mathematics courses
Links:
pdf:docinfo:created 2022-06-08T05:26:54Z
page
HOSPITAL ENGINEERING TRENDS
Architecture meets Technology
eine Veranstaltung der Ostbayerischen
Technischen Hochschule Amberg-Weiden – [...] rwesen-und-
gesundheit/hospital-engineering-trends/
HOSPITAL ENGINEERING TRENDS
Architecture meets Technology
Teilnahmegebühr: Der Veranstaltungsbeitrag beträgt pro Person
470,– Euro zzgl. der [...] ERWEITERUNGS- UND UMBAUTEN /
NEUMARKT HOSPITAL, STEADY GROWTH -
30 YEARS OF CONSTRUCTION ACTIVITY DUE
TO EXTENSIONS AND CONVERSIONS
Hans-Jürgen Distler, DISTLER• Architekten
und Ingenieure GmbH / Germany
pdf:docinfo:created 2022-07-09T08:39:47Z
page
HOSPITAL ENGINEERING TRENDS
Architecture meets Technology
eine Veranstaltung der Ostbayerischen
Technischen Hochschule Amberg-Weiden – [...] rwesen-und-
gesundheit/hospital-engineering-trends/
HOSPITAL ENGINEERING TRENDS
Architecture meets Technology
Teilnahmegebühr: Der Veranstaltungsbeitrag beträgt pro Person
470,– Euro zzgl. der [...] ERWEITERUNGS- UND UMBAUTEN /
NEUMARKT HOSPITAL, STEADY GROWTH -
30 YEARS OF CONSTRUCTION ACTIVITY DUE
TO EXTENSIONS AND CONVERSIONS
Hans-Jürgen Distler, DISTLER• Architekten
und Ingenieure GmbH / Germany
pdf:docinfo:created 2022-04-05T07:10:52Z
page
HOSPITAL ENGINEERING TRENDS
Architecture meets Technology
eine Veranstaltung der Ostbayerischen
Technischen Hochschule Amberg-Weiden –
unterstützt [...] member of OTH-AW
Partner Circle in German and English.
HOSPITAL ENGINEERING TRENDS
Architecture meets Technology
Teilnahmegebühr: Der Veranstaltungsbeitrag beträgt pro Person
470,– Euro zzgl. der [...] ERWEITERUNGS- UND UMBAUTEN /
NEUMARKT HOSPITAL, STEADY GROWTH -
30 YEARS OF CONSTRUCTION ACTIVITY DUE
TO EXTENSIONS AND CONVERSIONS
Hans-Jürgen Distler, DISTLER• Architekten
und Ingenieure GmbH / Germany
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
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 [...] Start-up Night in Weiden
Mehr über meetDigitals erfahren Sie
unter: www.meetdigitals.com
Alexander Hofmann, Louis Bauer
und Tobias Walbert von meetDIGITALS
page
5. – 6. März 2018
Jan
page
fördern führen inspirieren
Would you like to join us?
We are looking forward to welcoming
you to our University!
[...] a
st
e
r
page
fördern führen inspirieren
OTH Professional
Lifelong learning is the key to lasting success.
Continuing Academic Education
Cooperative Education Programmes
[...] Preparatory Courses
Learning Lab
Tutorials
Mentoring Programmes
Extra-Curricular Activities
Language Courses
Soft-skills Workshops
Writing Lab
Exchange Programmes
We still have more to offer….
partners, to discuss them critically
and thus to identify solutions and options for action. In
this way, we make a central contribution to providing
answers to pressing questions of our time and to helping [...] supervised
and unsupervised learning. It is possible to use
unsupervised learning to analyze climate data (Meiller
2017), but in this paper we focus on supervised learning.
The difference is that during [...] needed to perform the padding oracle attack.
In addition, an attacker has to be able to modify the
encrypted message and send these modified messages to
the oracle. The goal of this attack is to know
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