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Sounds good? To participate in the bridge course, you can enrol to the Moodle course from 30 September on. There, you will find the online meeting room as well as the course materials. Enrol to the Moodle [...] Orientation Get prepared Mathematics Bridge Course The Mathematics Bridge Course is an online offer to repeat and consolidate the school material at the start of your studies. Who it's for: First-year students [...] format The course consists of synchronous lecture and exercise sessions as well as asynchronous learning opportunities in the moodle course. The synchronous sessions take place as video conferences. After

abroad for the first time, to get to know another country and its language, culture, people and university system, to take home valuable intercultural experiences and also to discuss ideas for the integration [...] that OTH has done to welcome us." "I got to know a lot of good people. I have improved my English significantly and learned a lot about German culture and everyday life." "I am grateful to this program for [...] individual support, language courses, coaching and access to new networks. This enabled them not only to expand their technical and language skills, but also to develop new perspectives for their personal and

from the very first semester – with responsibility, freedom to act and a close connection to reality. Certification Programmes In addition to your regular studies, you can take certification courses at [...] become a success factor in a company? In the Applied Business Informatics (AWI) programme, you will learn to combine business and IT in a practical way – with a mix of digitalisation, management and technology [...] six-month internship – closely linked to companies in the region. Our promise: you will come into contact with at least ten companies during your studies. This allows you to build up your professional network

system Examination boards Learning spaces Insurances You are here: Studies Getting started University formalties Info session: Exam registration and study organization In addition to revising for exams, success [...] from Wednesday, 10th December 2025 to Wednesday, 7th January 2026 inclusive . (Please note: MANDATORY exam registration for all). All deadlines and dates related to exams can be found on the website ( [...] lecture-free periods Examinations Examinations Repeat examinations Examination system Examination boards Learning spaces Insurances University formalties Overview Info session: Exam registration and study organization

multilingual digital exercises and examination tasks. The aim is to establish a permanent infrastructure that gives all German universities access to digital tasks using the best available technology – with a [...] architecture that professionalises digital teaching and promotes individualised learning. In the long term, the DZdA aims to become institutionalised and independent of third-party funding , and sees itself [...] der Hochschullehre Funding amount: 11.9 million euros Project duration: 1 October 2025 to 1 October 2031 (subject to successful interim evaluation) Project management: Prof. Dr. paed. Dipl.-Math. Mike Altieri

Take the chance to join this event! When: Oktober 28, 2025 – 15.30 to 16.15 CET: Introduction of Fraunhofer UMSICHT – 16.15 to 17.15 CET: Speed Dating with scientists (20 slots max.) Where: OTH Amberg [...] on combustion systems, storage of process heat and has expertise in waste strategies and LCA. meets s.fhg.de/oth-fhumsicht

mentoring program?  to have the opportunity to share your experiences with young (future) researchers and to offer them new perspectives and career paths.  to contribute to enhancing the attractiveness [...] attractiveness of our university and expanding international partnerships.  to inspire more people for your field of expertise.  to meet new open-minded people and establish new cross-border connections through [...] mentoring program „academic careerSTEPS“?  Because we value and want to support your talent.  Because you will have the opportunity to learn about what and how experts work in a specific field and what their

Gewichtung Learning objectives/competencies to be assessed Zu prüfende Lernziele/Kompetenzen ModA Learning objectives / qualifications of the module, see above *1) Please refer to the applicable [...] 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 [...] ns and experiences in order to promote learning from both mistakes and successes. Despite the obligation to deliver a usable product, the focus is on independent learning (from mistakes as well as from

programme is to enable students to act and to independently and autonomously learn and apply scientific knowledge and methods in the fields of Artificial Intelligence (AI), Machine Learning (ML) as well [...] ²They are qualified to work on application or research-oriented tasks and projects in a scientifically sound and largely independent manner. ³They have learned to define goals, to develop knowledge [...] international business. ³They learn how to deal with English in a business-fluent manner. ⁴They thus meet the requirements of international business and are prepared to take on responsibility and

Christian PrA Project work in a small team Deep Learning 1. Bergler, Christian 2. Levi, Patrick Kl 26.01.2026 90 min 14:00 15:30 Deep Reinforcement Learning 1. Nierhoff, Thomas 2. Bergler, Christian ModA [...] (including presentation) International Affairs & Intercultural Meeting (BC) 1. Heckmann, Dominikus 2. Wolff, Annabelle ModA Machine Learning (Englisch) 1. Levi, Patrick 2. Bergler, Christian PrA Project [...] Friday, 30.01.2026 Exam Exam Exam Exam Exam 14:00–15:30 Deep Learning Ausgewählte Themen der Künstlichen Intelligenz Advanced Deep Learning Time Monday, 02.02.2026 Tuesday, 03.02.2026 Wednesday, 04.02

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

Competence and Self-competence):  Students are also able to present solutions that have been created, to discuss their quality and alternatives and to reflect on their problem-solving strategy in a technical [...] This course provides a comprehensive introduction to fundamental algorithms and data structures used in computer science. Students will learn how to implement linear, binary, ternary, and Fibonacci search [...] university is to be examined individually. Lecture, seminar with exercises, computer exercise Contact time: 60 h Self-study: 90 h Total workload: 150 h Learning Outcomes Learning Outcomes

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

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

introduction to object-oriented programming, including an overview of the language syntax and how to develop simple applications. Students will learn how to write custom classes and methods, and how to test their [...] possible to transfer bonus points to repeat examinations. The exam is intended to test the beforementioned competencies. *1) Please note the applicable overview of examination forms in §§ 20 to 29 ASPO [...] *2) Learning Objectives/Competencies to be Assessed Module work (ModA) Project Work in Groups 50% Presentation, similar to board presentation at annual shareholder meeting 50% written

Dominikus 2. Nierhoff, Thomas Präs Machine Learning 1 1. Bergler, Christian 2. Brunner, Fabian Keine Kl 02.02.2026 60 min 08:30 09:30 Machine Learning 2 1. Levi, Patrick 2. Bergler, Christian ModA [...] einseitig selbst beschrie- ben, nicht progr. TR Kl 30.01.2026 60 min 14:00 15:00 Ethik, Kognition & Meeting 1. Heckmann, Dominikus 2. Ranisch, Lisa Marie Präs Foreign Language 1 (Deutsch) 1. Fröhlich, Anja [...] handschr. be- schriftet Kl 28.01.2026 90 min 14:00 15:30 International Affairs & Intercultural Meeting 1. Heckmann, Dominikus 2. Wolff, Annabelle ModA KI Projekt Gaming 1. Nierhoff, Thomas 2. Meiller

your company. You have the opportunity to acquire highly qualified, academically trained high potentials whose practical know-how has been custom-fit to meet the needs and requirements of your company [...] The Dual Study Program Have we piqued your interest? DON’T HESITATE TO CONTACT US FOR A ONE-ON-ONE MEETING TO DISCUSS POTENTIAL MODELS OF COOPERATION: OTH Amberg-Weiden OTH Professional [...] Spring semester (03/15 – 09/30) Have we piqued your interest? DON’T HESITATE TO CONTACT US FOR A ONE-ON-ONE MEETING TO DISCUSS POTENTIAL MODELS OF COOPERATION:

Beginn Ende Details Deep Learning (SPO alt) 1. Levi, Patrick 2. Bergler, Christian ModA Analyse und Bearbeitung einer gegebe- nen Aufgabenstellung mit Hilfe von Deep Learning; prototypische Realisierung [...] form Datum Dauer Beginn Ende Details Machine Learning 1 1. Bergler, Christian 2. Brunner, Fabian Keine Kl 02.02.2026 60 min 08:30 09:30 Machine Learning 2 1. Levi, Patrick 2. Bergler, Christian ModA [...] hnik & Cyber-Physische Systeme 1. Wiehl, Michael 2. Nierhoff, Thomas ModA Ethik, Kognition & Meeting 1. Heckmann, Dominikus 2. Ranisch, Lisa Marie Präs Grundlagen der Robotik 1. Wenk, Matthias 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

Introduction to basic Czech, German and Polish language Light lunch Afternoon session 13:30 15:30 Visit to one of the UWB research centres (choice: either RICE or NTC) Visit to a company Pilsen [...] Afternoon session 13:00 16:30 19:00 Campus Tour Visit to one of the UWB research centres (choice: either NTIS or RTI) Visit to a company Free time Dinner in a restaurant in the city centre [...] Pilsen to Amberg / Weiden and back will be provided by the organizing team. Wednesday April 22nd Day 3 Amberg, Germany Morning session 10:00 12:30 Departure from Pilsen to Amberg

Self-Competence): Students are able to continuously expand their expertise in the field of deep learning by engaging with current scientific literature and to remain up to date in this dynamic area of research [...] 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, [...] 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 with Python:

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

Introduction to basic Czech, German and Polish language Light lunch Afternoon session 13:30 14:30 15:30 Visit to one of the UWB research centres (choice: either NTIS or RTI) Visit to Konplan [...] 13:00 13:45 15:00 16:00 19:00 Campus Tour Visit to one of the UWB research centres (choice: either RICE or NTC) Visit to ZF Engineering company Free time Dinner in a restaurant in [...] zcu.cz/en/ https://konplan.cz/ *The common bus transportation from Pilsen to Amberg / Weiden and back will be provided by the organizing team. Wednesday April 22nd Day

Master Thesis Reinforcement Learning: Fine-tuning Pretrained Policies with Real-World Data to Mitigate the Sim-to-Real Gap Summary The performance of reinforcement learning policies is highly dependent [...] world, a domain shift occurs, leading to degraded performance. This performance loss is known as the sim-to-real gap, and the goal of this thesis is to reduce it. To achieve this, a policy pretrained in [...] reinforcement learning is a plus We offer • Individual supervision and regular feedback to support your growth in reinforcement learning • Participation in current research projects • Freedom to choose the

we invite practitioners to share the practices they are already implemeting to make their businesses more just and sustainable. Let others know about your successes, meet likeminded people from the [...] will serve as a platform to explore viable paths and opportunities for collaboration, bringing together researchers, practitioners, policymakers, and industry leaders to drive transformative change [...] from all disciplines and sectors (academic, public, private, and civil society) related to, but not limited to, the following topics: • Economic systems and the common good • Theoretical foundations