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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 [...] Rodenburg, Menden - Maeda, J. (2019). How to Speak Machine: Laws of Design for a Digital Age. Portfolio. - Majumder, A. & Gopi, M. (2018): Introduction to Visual Computing: Core Concepts in Computer

Microsoft: Print To PDF access_permission:can_modify true pdf:docinfo:producer Microsoft: Print To PDF pdf:docinfo:created 2025-05-05T16:42:06Z Microsoft PowerPoint - Service Learning Lea(1) [...] 2025Lea-Tara Schmitt | Service Learning 2 What you will gain • Workshop designed to prepare you for a German application process • Vocabulary and useful phrases to master your interviews in Germany [...] Exercises and reflection to enhance your communication skills • CV check to optimize your application documents page May 5, 2025Lea-Tara Schmitt | Service Learning 3 When and where?

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 [...] Kontaktstudium: 60 h (4 SWS) Eigenstudium: 90 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] ung des Präsenzunterrichts und Projektarbeit) Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden

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 [...] Kontaktstudium: 60 h (4 SWS) Eigenstudium: 90 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] ung des Präsenzunterrichts und Projektarbeit) Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden

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

They learn to identify these situations and to appear interculturally competent. • Personal competence (social competence and self-competence): Students acquire the interdisciplinary ability to perform [...] • In addition to theoretical knowledge, students also acquire the ability to apply process engineering principles in practice, both independently and in a team. • They are able to critically analyse [...] interculturality. They learn the theoretical basics of intercultural communication and understanding. • Methodological competence: Students are able to apply strategies to improve the handling of

They learn to identify these situations and to appear interculturally competent. • Personal competence (social competence and self-competence): Students acquire the interdisciplinary ability to perform [...] • In addition to theoretical knowledge, students also acquire the ability to apply process engineering principles in practice, both independently and in a team. • They are able to critically analyse [...] interculturality. They learn the theoretical basics of intercultural communication and understanding. • Methodological competence: Students are able to apply strategies to improve the handling of

prevented to attend the inspection on February 14th, this must be announced in good time on the bulletin board (Schwarzes Brett). Students who would like to view their exam then have the opportunity to request [...] stated. In order to meet deadlines, inspection must be possible within four calendar weeks from the day the grades are announced. The agreed appointment must be observed, there is no right to catch up on [...] und Erstkorrektor- innen. The inspection will take place on Friday, February 14th, 2025, from 9:00 to 12:00 at the MBUT Faculty with the respective first correctors 2. Sollten Erstkorrektoren

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

vehicles is extended by a multi-agent reinforcement learning approach in order to be able to control several vehicles (fleet). Using simple examples and an existing solver for the so-called Dial-A-Ride problem [...] eines Multi-Agent Reinforcement Learning Ansatzes zur Steuerung von Fahrzeugflotten Zusammenfassung: Nach Literaturanalyse wird ein bestehender Reinforcement Learning Ansatz zur Steuerung von Fahrzeugen [...] t of a multi-agent reinforcement learning approach for controlling vehicle fleets Summary: After analyzing the literature, an existing reinforcement learning approach for controlling vehicles

designed to enable students to take on a leading role in groups or organisations and to promote the professional development of team members in a targeted manner. 2Students should learn to define goals [...] independently, use suitable means to achieve them and accompany detailed project planning and implementation. 3One of the aims of the degree programme is to be able to recognise, assess and deal with [...] 2At the same time, students learn how to systematically consider the social, cultural, ecological and ethical effects of activities and decisions, subject them to critical reflection and incorporate

work on real-life projects, and profit from virtual and in situ input sessions. They will learn to cooperate in teams and create goal-driven solutions. • We will encourage ‘thinking outside [...] project management and teamwork, and a multitude of advisors and helpers come together to learn, experience, share, and implement sustainability concepts. 50:50 Equal focus on theory and [...] Summer School on Sustainability 2025 We look forward to receiving your application for the ISSS 2025! Apply now Go to oth-aw.de/isss and submit your application 10

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

Speech & Cake-Cutting Ceremony STANDS BY ORGANIZATIONS 13.00 Visit stands, meet representatives and explore study abroad opportunities A TRADITIONAL FASHION [...] outfits on the red carpet INTERNATIONAL FOOD FESTIVAL 16.00 More opportunities to taste different countries dishes INTERNATIONAL DANCE PERFORMANCE 17.45 Enjoy

Speech & Cake-Cutting Ceremony STANDS BY ORGANIZATIONS 13.00 Visit stands, meet representatives and explore study abroad opportunities A TRADITIONAL FASHION [...] outfits on the red carpet INTERNATIONAL FOOD FESTIVAL 16.00 More opportunities to taste different countries dishes INTERNATIONAL DANCE PERFORMANCE 17.45 Enjoy

Selbststudium Prüfungsvorbereitung = 30 h = 60 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] Selbststudium Selbsttests Probeklausur 60 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] Selbststudium Prüfungsvorbereitung = 30 h = 60 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden

Registration • Welcome Speech & Cake-Cutting Ceremony STAND BY ORGANIZATIONS 13:00 • Visit stands, meet representatives, and explore study abroad opportunities PHOTO EXIBITION AND WORLDMAP 15:20 [...] experiences. • Add your hometown in the worldmap INTERNATIONAL FOOD FESTIVAL 15:30 • More opportunities to taste 15 different countries dishes A Traditional Fashion Walk 17:00 • A colourful walk celebrating

Registration • Welcome Speech & Cake-Cutting Ceremony STAND BY ORGANIZATIONS 13:00 • Visit stands, meet representatives, and explore study abroad opportunities PHOTO EXIBITION AND WORLDMAP 15:20 [...] experiences. • Add your hometown in the worldmap INTERNATIONAL FOOD FESTIVAL 15:30 • More opportunities to taste 15 different countries dishes A Traditional Fashion Walk 17:00 • A colourful walk celebrating

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

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

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

Advanced Deep Learning Advanced Deep Learning German  / English Prof. Christian Bergler see also module manual  MHB MKI 4 5 WPM WPM yes Deep Reinforcement Learing Deep Reinforcement Learning German Prof [...] Prof. Thomas Nierhoff see also module manual  MKI 4 5 WPM WPM Explanatory Legend SuSe / WiSe to be offered in the semester PM Compulsory Module PT Project BC Bridge Module for MAI WPM El

h Übungsleistungen: 70 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] Klausurvorbereitung: 30 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] Klausurvorbereitung: 30 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden

/Pipher, J./Silverman, J. H. (2014): An Introduction to Mathematical Cryptography, 2. Auflage, Springer · Katz, J./Lindell, Y. (2015): Introduction to Modern Cryptography, 2. Auflage, CRC Press · Lipton [...] Synthese gesprochener Sprache (text-to-speech) · Sprachdialogsysteme · Textanalyse, Dokumentanalyse, OCR · Clustering/Klassifikation · Neuronale Netze und Deep Learning Lehrmaterial/Literatur Teaching [...] Vor-/Nachbereitung: 45 h PrA: 45 h Gesamt: 150 h Lernziele/Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden