program 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 [...] 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

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

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

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

ungen: 50 h CAD Kurs: 20 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] h Klausurvorbereitung: 30 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] h Klausurvorbereitung: 30 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden

ungen: 50 h CAD Kurs: 20 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] h Klausurvorbereitung: 30 h Gesamtaufwand: 150 h Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden [...] h Klausurvorbereitung: 30 h Gesamtaufwand: 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

Dear Students, prof. Fabian Liedl is offering excursions to BHS in Weiherhammer (15.11.) and ZMS in Schwandorf (22.11.). An exciting program awaits the participants on both days: an exclusive tour of the [...] the respective company, a presentation from a company representative and the opportunity to speak directly with the HR department about entry opportunities and careers during an HR session. The excursions [...] free of charge. The bus starts on November 15th at 8:15 a.m. and on November 22nd at 8:30 a.m. The meeting point is outside the OTH cafeteria. The return is planned for around 12:00 p.m. You can register

Machine Learning und Data Mining: Verständnis für die Anwendung von Machine-Learning- und Data-Mining-Techniken auf geografische Daten, einschließlich Supervised Learning, Unsupervised Learning, Deep [...] Choroplethenkarten oder interaktive Dashboards. • Geodatenanalyse mit Machine Learning: Anwendung von Machine-Learning-Algorithmen auf geografische Daten zur Vorhersage von Ereignissen, Mustererkennung [...] 60 h Eigenstudium 30 h Prüfungsvorbereitung Lernziele / Qualifikationen des Moduls Learning Outcomes Nach dem erfolgreichen Absolvieren des Moduls verfügen die Studierenden über die folgenden

allows you to set your own priorities in your studies , according to your interests. From the third semester onwards, you can choose from a wide range of possible subjects. You are not limited to the Eng [...] possible to start your studies in the winter or summer semester. Registration deadlines You can register for the winter semester from 1 May to 15 July and for the summer semester from 15 November to 1 March [...] visiting the applicant portal . Admission requirements Do you want to apply for the Technical Engineering degree programme? To be admitted to OTH Amberg-Weiden, you need the general qualification for university

provided in German up to level B2 . This enables them to attend the lectures offered by the faculty in German. German-speaking students receive comprehensive training in English. In contrast to other bachelor's [...] semesters, in which you will have completed various compulsory modules, you will be able to choose the modules you wish to take from the catalogue of courses offered. In the third and fourth semesters, the [...] The resulting longer period of time in a company offers you the opportunity to establish contacts with potential employers and to lay a good foundation for your professional career at home and abroad. Upon

will be on relating theoretical concepts to assessment and evaluation of practices in organizations. Empirical projects will be analyzed to extract lessons learned and suggestions for improvement. Explorations [...] project work is used to test the entire learning content and competency profiles, including the com- petencies for presentation. The assessed discussion contributions serve to dee- pen the understanding [...] you are not eligible to sign up for more than 11 Advanced Modules or more than 4 Soft Skill Modules prior to having completed a minimum of 120 of 150 possible ECTS. According to §6 (2) of the old Study

teams in digital business. They learn to assess speed, adap- tivity, user-centricity and flexibility as key drivers of a changed process management. You will learn to adopt new, dynamic and flexible [...] ung / Internationalität: Course Content Students learn to argue the impact of digitalization on the management of project teams and to apply methods and tools for the analysis, design, imp [...] flexible ways of thinking as a contrast to traditional, planning-oriented project management in order to meet the requi- rements of very high innovation speed and the rapid changes in customer preferences.

project teams in digital business. They learn to assess speed, adap- tivity, user-centricity and flexibility as key drivers of a changed process management. You will learn to adopt new, dynamic and flexible [...] ung / Internationalität: Course Content Students learn to argue the impact of digitalization on the management of project teams and to apply methods and tools for the analysis, design, imp [...] flexible ways of thinking as a contrast to traditional, planning-oriented project management in order to meet the requi- rements of very high innovation speed and the rapid changes in customer preferences.

inkl. Gewichtung *2 Type/scope incl. weighting Zu prüfende Lernziele/Kompetenzen Learning outcomes / competences to be assessed Klausur Klausurteil: Betriebswirtschaft Dauer: 30 Minuten Gewichtung: [...] inkl. Gewichtung *2 Type/scope incl. weighting Zu prüfende Lernziele/Kompetenzen Learning outcomes / competences to be assessed Klausur 90 min. Gewichtung 100% Über die Klausur werden die gesamten [...] inkl. Gewichtung *2 Type/scope incl. weighting Zu prüfende Lernziele/Kompetenzen Learning outcomes / competences to be assessed Kolloquium Gewichtung: 100% Über die Klausur werden die gesamten L

inkl. Gewichtung *2 Type/scope incl. weighting Zu prüfende Lernziele/Kompetenzen Learning outcomes / competences to be assessed Klausur Klausurteil: Betriebswirtschaft Dauer: 30 Minuten Gewichtung: [...] inkl. Gewichtung *2 Type/scope incl. weighting Zu prüfende Lernziele/Kompetenzen Learning outcomes / competences to be assessed Klausur 90 min. Gewichtung 100% Über die Klausur werden die gesamten [...] inkl. Gewichtung *2 Type/scope incl. weighting Zu prüfende Lernziele/Kompetenzen Learning outcomes / competences to be assessed Klausur 90 min. Gewichtung: 100% Über die Klausur werden die gesamten

kets. • Methodological competence: Getting to know and learning to assess basic business management methods. • Social competence: Students learn how to convey information clearly, actively listen [...] and regulatory requirements spe- cific to their industry. • Methodological Competence: Interns learn to apply theoretical knowledge learned in the classroom to real-world situ- ations, enhancing their [...] Business Analytics Capstone • How to ask the right questions of the data, and know how to use data effectively to ad- dress business challenges • How to make data-driven decisions to real business challenges

Lernziele/Kompetenzen Learning outcomes / competences to be assessed portfolio examination Learning portfolio (100%) The Learning Portfolio is used to check the entire learning content and competence [...] achievements of previous studies can only be recognised 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 [...] environment. • Personal competence (self-competence): Students learn to self-reflect their cultural values and learn strategies how to assume ethical responsibility in an international context. Inhalte

Lernziele / Qualifikationen des Moduls: Learning Outcomes The aim of the course is to impart the basics of operations and supply chain management related to the industrial transfor- mations. Starting [...] English, proficiency in Ger- man is not necessary. Learning outcomes: The following learning objectives are anticipated: • You will be able to define the topic of supply chain management and the [...] will be able to classify current developments and their effects on supply chains • You will be able to classify, evaluate, model and optimize supply chain processes • You will be able to use, evaluate

project teams in digital business. They learn to assess speed, adap- tivity, user-centricity and flexibility as key drivers of a changed process management. You will learn to adopt new, dynamic and flexible [...] ung / Internationalität: Course Content Students learn to argue the impact of digitalization on the management of project teams and to apply methods and tools for the analysis, design, imp [...] flexible ways of thinking as a contrast to traditional, planning-oriented project management in order to meet the requi- rements of very high innovation speed and the rapid changes in customer preferences.

Lernziele/Kompetenzen Learning outcomes / competences to be assessed Übungsleistung Drafting of 3-5 experimental designs with a mi- nimum of two different sensors each - for a to- tal of 100% grade [...] inkl. Gewichtung *2 Type/scope incl. weighting Zu prüfende Lernziele/Kompetenzen Learning outcomes / competences to be assessed Übungsleistung Die zu erbringenden Übungsleistungen (Exerci- ses) setzen [...] inkl. Gewichtung *2 Type/scope incl. weighting Zu prüfende Lernziele/Kompetenzen Learning outcomes / competences to be assessed Klausur 90 min. Klausur über 90 Minuten (Einzelleistung), Ge- wichtung

inkl. Gewichtung *2 Type/scope incl. weighting Zu prüfende Lernziele/Kompetenzen Learning outcomes / competences to be assessed Klausur 90 min. Gewichtung: 100% Über die Klausur werden die gesamten [...] inkl. Gewichtung *2 Type/scope incl. weighting Zu prüfende Lernziele/Kompetenzen Learning outcomes / competences to be assessed Klausur 90 min. Gewichtung: 100% Über die Klausur werden die gesamten [...] inkl. Gewichtung *2 Type/scope incl. weighting Zu prüfende Lernziele/Kompetenzen Learning outcomes / competences to be assessed Finanz-/Investitions- wirtschaft: Gewichtung: 100% Hinweis: Die

will have the opportunity to interact directly with the company representatives. Prof. Liedl will meet you at 08:20 in front of the OTH canteen and take the bus from the OTH to ZMS. You will arrive back [...] Dear students, on Friday, 29-11-2024, an excursion to ZMS (waste recycling association) in Schwandorf will take place. You can expect a company tour and a presentation on sustainability. As with the other

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