Veranstaltungsverzeichnis

Veranstaltungsverzeichnis

School of Computing Science, Business Administration, Economics and Law Click here for PDF-Download

Summer semester 2025 66 Seminars
VAK Course Number Title Type Lecture
Preliminary studies
Advanced courses
Practical course
Colloquium
Research group
Workgroup
Project group
Council conference
Internship
Language course
Subject didactics
Excursion
Tutorial
Committee 		SWS Semester weekly hours Teachers Degree
2.02.362 Umweltpolitik/Environmental Policy Friday: 08:00 - 16:00, weekly (from 20/06/25)
Description:
Seminar - Prof. Dr. Cristian Huse
Thomas Handke
  • Bachelor
  • Master
2.01.814 Computing on Encrypted Data The course times are not decided yet.
Description:
// Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments regarding secure computation methods on encrypted data, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing a specific method of secure computation on encrypted data. Each available topic is to be tackled by an individual student. For this purpose students will be provided with material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Finally, students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. At the beginning of the course, all available topics will be introduced to the students so that they can pick a topic suitable for them. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// * Hardware Acceleration for Homomorpic Encryption; * Funtional Encryption; * NTRU-based Homomorphic Encryption; * Threshold and Multiparty Homomorphic Encryption; * Hybrid Homomorphic Encryption; * Functional Secret Sharing; * Your Own Topic; More details on the topics will follow. // Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments regarding secure computation methods on encrypted data, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing a specific method of secure computation on encrypted data. Each available topic is to be tackled by an individual student. For this purpose students will be provided with material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Finally, students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. At the beginning of the course, all available topics will be introduced to the students so that they can pick a topic suitable for them. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// * Hardware Acceleration for Homomorpic Encryption; * Funtional Encryption; * NTRU-based Homomorphic Encryption; * Threshold and Multiparty Homomorphic Encryption; * Hybrid Homomorphic Encryption; * Functional Secret Sharing; * Your Own Topic; More details on the topics will follow. 		Seminar - Valentin Reyes Häusler
Prof. Dr. Andreas Peter
  • Master
2.01.-CAUSE Seminar of the RTN CAUSE Wednesday: 10:00 - 12:00, weekly (from 06/11/24)
Description:
The seminar is dedicated to the ongoing scientific exchange and cooperation of the memvers of the RTN CAUSE at Oldenburg. The seminar is dedicated to the ongoing scientific exchange and cooperation of the memvers of the RTN CAUSE at Oldenburg. 		miscellaneous - Prof. Dr. Sebastian Lehnhoff
Prof. Dr. Verena Klös
Prof. Dr. Heike Wehrheim
Prof. Dr. Martin Georg Fränzle
2.02.384 Economic Growth Dates on Saturday, 05.07.2025 09:00 - 18:00
Description:
Seminar - Prof. Dr. Jürgen Bitzer
  • Bachelor
2.02.834 International Regime of Health Policy Tuesday: 12:00 - 14:00, weekly (from 08/04/25)
Description:
Seminar - Dr.Jur. Victoria Chege, LL.M.Eur.
  • Master
2.03.019 2.03.019 Ubung- Judicial Protection and Fundamental Freedoms Wednesday: 16:00 - 18:00, weekly (from 09/04/25), Location: V03 0-E002
Dates on Friday, 27.06.2025 10:00 - 12:00, Friday, 04.07.2025 10:00 - 13:00, Location: V02 0-004, V03 0-E004
Description:
Practice group for Judicial Protection and Fundamental Freedoms Practice group for Judicial Protection and Fundamental Freedoms 		Seminar - Prof. Dr. Christine Godt
Dr. jur. Jörg-Alexander Cordes, LL.M.
Anne Klemeyer, LL.M.
  • Bachelor
2.01.369 Selected Topics in Microwave-Microscopy and -Communication Systems Thursday: 08:00 - 10:00, weekly (from 10/04/25)
Description:
Seminar 2 Dr.-Ing. Muhammad Yasir
  • Master
2.01.809 Selected Topics in IT-Security Thursday: 14:00 - 16:00, weekly (from 10/04/25)
Description:
/// Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments within the field of IT-security, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing a specific topic in the field of IT-security. There will be multiple topics, and each topic is to be tackled by an individual student. Students will be handed out material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. In the start of the course, all available topics will be introduced to the students so that they can pick a for them suitable topic. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// * Malicious software * Security operations centers and their performance * Weaknesses of the RSA cryptosystem * Zero-knowledge proofs (ZKPs) * Online tracking methods and countermeasures * Privacy in instant messaging * Privacy metrics and ways to achieve certain privacy levels * Your own topic More details will follow. /// Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments within the field of IT-security, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing a specific topic in the field of IT-security. There will be multiple topics, and each topic is to be tackled by an individual student. Students will be handed out material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. In the start of the course, all available topics will be introduced to the students so that they can pick a for them suitable topic. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// * Malicious software * Security operations centers and their performance * Weaknesses of the RSA cryptosystem * Zero-knowledge proofs (ZKPs) * Online tracking methods and countermeasures * Privacy in instant messaging * Privacy metrics and ways to achieve certain privacy levels * Your own topic More details will follow. 		Seminar 2 Prof. Dr. Andreas Peter
  • Bachelor
2.13.043 Field Trip to the Wadden Sea Coast The course times are not decided yet.
Description:
A field trip to the Wadden Sea coast (Sande / Wilhelmshaven) is planned for June 2025 (5.- 7.). This field trip (excursion) will be from Thursday afternoon to Saturday. The field trip is planned as a follow-on to the Wadden Sea 2050 seminar in WS 2024/2025, but it is also open to students who did not attend this course. Thematically it will focus on issues of nature conservation, landscape, coastal managment, climate adaptation and sustainable regional development. We will stay at a hostel and explore the region by foot and on bike. Costs will thus be kept to a minimum. There will be an information in advance and a follow-up meeting. Both may take place online. A field trip to the Wadden Sea coast (Sande / Wilhelmshaven) is planned for June 2025 (5.- 7.). This field trip (excursion) will be from Thursday afternoon to Saturday. The field trip is planned as a follow-on to the Wadden Sea 2050 seminar in WS 2024/2025, but it is also open to students who did not attend this course. Thematically it will focus on issues of nature conservation, landscape, coastal managment, climate adaptation and sustainable regional development. We will stay at a hostel and explore the region by foot and on bike. Costs will thus be kept to a minimum. There will be an information in advance and a follow-up meeting. Both may take place online. 		Study trip - Dr. Cormac Walsh
  • Master
2.01.815 Machine Learning in Security The course times are not decided yet.
Description:
// Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments regarding the topic of machine learning in the field of IT-security, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing selected methods in machine learning in an IT-security context. Each available topic is to be tackled by an individual student. For this purpose students will be provided with material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Finally, students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. At the beginning of the course, all available topics will be introduced to the students so that they can pick a topic suitable for them. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// More details on the topics will follow. // Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments regarding the topic of machine learning in the field of IT-security, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing selected methods in machine learning in an IT-security context. Each available topic is to be tackled by an individual student. For this purpose students will be provided with material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Finally, students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. At the beginning of the course, all available topics will be introduced to the students so that they can pick a topic suitable for them. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// More details on the topics will follow. 		Seminar - Marvin Büchel
Prof. Dr. Andreas Peter
  • Master
2.03.010 Competition Law and Intellectual Property II Thursday: 12:00 - 14:00, weekly (from 10/04/25)
Description:
Teil II Teil II 		Seminar - Prof. Dr. Christine Godt
  • Master
2.02.071 Sustainable Supply Chain Management Thursday: 12:00 - 14:00, weekly (from 10/04/25)
Description:
Lecture - Prof. Dr. Christian Busse
Dr. Satwant Dahiya
  • Master
2.12.042 Ecological Economics Monday: 10:00 - 14:00, fortnightly (from 07/04/25)
Description:
Seminar - Prof. Dr. Bernd Siebenhüner
Dr. Hendrik Wolter
  • Master
2.01.586 Fitness Landscape Analysis Thursday: 10:00 - 12:00, weekly (from 10/04/25)
Description:
Seminar 2 Jörg Bremer
  • Master
2.02.752b Transnational Biodiversity and Genetic Resources Law II Thursday: 18:00 - 20:00, weekly (from 10/04/25)
Description:
Teil II Teil II 		Seminar - Dr. Evanson Chege Kamau
  • Master
2.02.831 EU Medical Law Tuesday: 14:00 - 16:00, weekly (from 08/04/25)
Description:
Seminar - Dr.Jur. Victoria Chege, LL.M.Eur.
  • Master
2.03.009 Competition Law and Intellectual Property I Thursday: 10:00 - 12:00, weekly (from 10/04/25)
Description:
Teil I Teil I 		Lecture - Prof. Dr. Christine Godt
  • Master
2.01.490 Logical Methods in AI Verification The course times are not decided yet.
Description:
In this seminar, we will take a look at logical methods for AI verification and explanation. In this seminar, we will take a look at logical methods for AI verification and explanation. 		Seminar - Prof. Dr. Heike Wehrheim
  • Master
2.02.991a Banking Dates on Monday, 16.06.2025 08:00 - 12:00, Monday, 16.06.2025 12:00 - 16:00, Tuesday, 17.06.2025 16:00 - 20:00, Friday, 20.06.2025 08 ...(more)
Description:
We will discuss theoretical foundations of financial intermediation in general, and of banking in particular as well as the economic, institutional, and regulatory context in which financial institutions operate today. Moreover, we will cover selected topics in the area of bank management and bank accounting. We will discuss theoretical foundations of financial intermediation in general, and of banking in particular as well as the economic, institutional, and regulatory context in which financial institutions operate today. Moreover, we will cover selected topics in the area of bank management and bank accounting. 		Seminar - Dr. Haoshen Hu
  • Master
  • Master of Education
2.02.232 Corporate Finance Tuesday: 08:00 - 10:00, weekly (from 08/04/25), Location: A07 0-030 (Hörsaal G)
Dates on Friday, 25.07.2025 14:30 - 15:30, Thursday, 09.10.2025 08:00 - 09:00, Location: A11 1-101 (Hörsaal B), A14 1-101 (Hörsaal 1), A14 1-102 (Hörsaal 2) (+4 more)
Description:
This course is an introduction to corporate finance. It covers typical tools and techniques used by financial managers in making investment and financing decisions, and it provides insights into their theoretical foundations. The concept of time value of money and net present value is discussed in detail, first under certainty, and then in the presence of uncertainty. We will examine the relationship between an investment’s risk and its return, and discuss ways to derive risk-adjusted cost of equity capital. In addition, the course provides insights into firms’ main sources of equity and debt financing, like shares, bonds, bank loans, or private equity. The topics covered in the course are relevant to decision-making in various areas of business management, including operations management, marketing, and in particular corporate strategy. This course is an introduction to corporate finance. It covers typical tools and techniques used by financial managers in making investment and financing decisions, and it provides insights into their theoretical foundations. The concept of time value of money and net present value is discussed in detail, first under certainty, and then in the presence of uncertainty. We will examine the relationship between an investment’s risk and its return, and discuss ways to derive risk-adjusted cost of equity capital. In addition, the course provides insights into firms’ main sources of equity and debt financing, like shares, bonds, bank loans, or private equity. The topics covered in the course are relevant to decision-making in various areas of business management, including operations management, marketing, and in particular corporate strategy. 		Lecture - Prof. Dr. Jörg Prokop
  • Bachelor
  • Master
  • Master of Education
2.02.152 Financial Accounting Monday: 10:00 - 12:00, weekly (from 07/04/25), Location: W04 1-162
Monday: 16:00 - 18:00, weekly (from 07/04/25), Location: A05 0-056
Tuesday: 12:00 - 14:00, weekly (from 08/04/25), Location: A05 0-056
Tuesday: 18:00 - 20:00, weekly (from 08/04/25), Location: (Tutorium 1, online)
Wednesday: 14:00 - 16:00, weekly (from 09/04/25), Location: A05 0-056
Wednesday: 18:00 - 20:00, weekly (from 09/04/25), Location: (online)
Thursday: 08:00 - 10:00, weekly (from 10/04/25), Übung, Location: A14 1-101 (Hörsaal 1), A11 1-101 (Hörsaal B)
Thursday: 12:00 - 14:00, weekly (from 10/04/25), Location: A01 0-004
Friday: 12:00 - 14:00, weekly (from 11/04/25), Location: A05 0-056
Description:
This module is based on accounting and annual financial statement, while focusing exclusively on the international financial reporting standards (IFRS). In terms of content, the course covers subjects such as the most important concepts, tangible and intangible assets as well as liability items on the basis of the fundamental standards and case studies. This module is based on accounting and annual financial statement, while focusing exclusively on the international financial reporting standards (IFRS). In terms of content, the course covers subjects such as the most important concepts, tangible and intangible assets as well as liability items on the basis of the fundamental standards and case studies. 		Exercises - Prof. Dr. Christoph Sextroh
  • Bachelor
  • Master
2.02.993 Financial Risk Management Tuesday: 10:00 - 12:00, weekly (from 15/04/25), Location: A05 0-056
Dates on Wednesday, 09.07.2025 08:15 - 09:45, Monday, 22.09.2025 10:00 - 11:30, Location: A14 1-103 (Hörsaal 3), A01 0-008
Description:
The course provides insights into the theory and practice of modern financial business risk management, including: • the concept of risk, types of financial risks, and approaches to risk measurement; • the mechanics of financial markets, including derivatives markets; • the properties of selected financial instruments, including financial derivatives such as forwards, futures, options, and swaps; • tools and techniques for managing financial risks. The course provides insights into the theory and practice of modern financial business risk management, including: • the concept of risk, types of financial risks, and approaches to risk measurement; • the mechanics of financial markets, including derivatives markets; • the properties of selected financial instruments, including financial derivatives such as forwards, futures, options, and swaps; • tools and techniques for managing financial risks. 		Lecture - Prof. Dr. Jörg Prokop
Christopher Wilksen
Philipp Wallis
  • Master
2.01.5450 Current topics in self-supervised and label-efficient learning Tuesday: 16:00 - 18:00, weekly (from 08/04/25)
Description:
This seminar will cover current approaches to improve the label-efficiency of machine learning systems in different application domains such as computer vision, speech and natural language processing. A particular focus will lie on self-supervised learning but we will also cover aspects of self-training and weak supervision. This seminar will cover current approaches to improve the label-efficiency of machine learning systems in different application domains such as computer vision, speech and natural language processing. A particular focus will lie on self-supervised learning but we will also cover aspects of self-training and weak supervision. 		Seminar 2 Prof. Dr. Nils Strodthoff
Tiezhi Wang
  • Master
2.02.196 Environment and Inequality: Socioeconomic Linkages and Policy Instruments Tuesday: 12:00 - 14:00, fortnightly (from 22/04/25), Location: A14 1-112
Dates on Friday, 04.07.2025 09:00 - 18:00, Location: V02 0-003
Description:
Inequality and environmental matters are multidimensional, intertwined and complex. They might unfold self-enforcing negative effects on human wel- fare and wellbeing. In this sense, they affect economic growth, development, environment, education, health, social and political stability, etc. The current trends of inequality within and between countries are worrisome. At the same time, global warming and climate change severely and unequally affect human’s wellbeing and economies. Understanding and tackling these pressing problems should therefore be among the priorities of economists. Reducing poverty and inequality as well as fighting climate change are central elements of the sustainable development goals (2030 Agenda) and rank high in most policy agendas. However, while some policy measures designed to reduce poverty and inequality could negatively affect the environment, environmental policies often cause undesirable distributional effects. The distributive effects (‘incidence’) of environmental policies are indeed becoming increasingly important for the political feasibility of environmental policies addressing e.g. climate change or biodiversity loss. Against this background, a more holistic approach integrating climate actions with measures to reduce poverty and inequality is needed. In this course, we study these issues applying and extending state-of-the-art economic methods. Particularly, we consider insights of behavioral economics in order to provide a deeper and more integrated analysis of these highly intertwined themes. Inequality and environmental matters are multidimensional, intertwined and complex. They might unfold self-enforcing negative effects on human wel- fare and wellbeing. In this sense, they affect economic growth, development, environment, education, health, social and political stability, etc. The current trends of inequality within and between countries are worrisome. At the same time, global warming and climate change severely and unequally affect human’s wellbeing and economies. Understanding and tackling these pressing problems should therefore be among the priorities of economists. Reducing poverty and inequality as well as fighting climate change are central elements of the sustainable development goals (2030 Agenda) and rank high in most policy agendas. However, while some policy measures designed to reduce poverty and inequality could negatively affect the environment, environmental policies often cause undesirable distributional effects. The distributive effects (‘incidence’) of environmental policies are indeed becoming increasingly important for the political feasibility of environmental policies addressing e.g. climate change or biodiversity loss. Against this background, a more holistic approach integrating climate actions with measures to reduce poverty and inequality is needed. In this course, we study these issues applying and extending state-of-the-art economic methods. Particularly, we consider insights of behavioral economics in order to provide a deeper and more integrated analysis of these highly intertwined themes. 		Seminar - Dr. Anelise Rahmeier Seyffarth
  • Bachelor
2.01.5128 AI in Energy Systems Monday: 14:00 - 16:00, weekly (from 07/04/25)
Description:
Seminar 2 Jörg Bremer
  • Master
2.02.151 Financial Accounting Friday: 08:00 - 10:00, weekly (from 11/04/25), Location: A14 1-101 (Hörsaal 1)
Dates on Friday, 18.07.2025 12:00 - 13:00, Friday, 10.10.2025 08:00 - 09:00, Location: A07 0-030 (Hörsaal G), A14 1-103 (Hörsaal 3), A14 1-101 (Hörsaal 1) (+4 more)
Description:
This module is based on accounting and annual financial statement, while focusing exclusively on the international financial reporting standards (IFRS). In terms of content, the course covers subjects such as the most important concepts, tangible and intangible assets as well as liability items on the basis of the fundamental standards and case studies. This module is based on accounting and annual financial statement, while focusing exclusively on the international financial reporting standards (IFRS). In terms of content, the course covers subjects such as the most important concepts, tangible and intangible assets as well as liability items on the basis of the fundamental standards and case studies. 		Lecture - Prof. Dr. Christoph Sextroh
  • Bachelor
  • Master
2.03.018 2.03.018 Judicial Protection and Fundamental Freedoms Tuesday: 16:00 - 18:00, weekly (from 08/04/25), Location: V03 0-E005
Dates on Monday, 14.07.2025 14:00 - 17:00, Location: A05 0-056
Description:
The core element is the case law of the ECJ on the five fundamental freedoms of the EU (free movement of goods, free movement of workers, free movement of services, freedom of establishment, free movement of capital, summarised in English literature as the 'four freedoms': goods, services, persons and capital). An introductory block introduces the judicial system of the ECJ with the involvement of the courts of the Member States and deals with the types of actions. The core element is the case law of the ECJ on the five fundamental freedoms of the EU (free movement of goods, free movement of workers, free movement of services, freedom of establishment, free movement of capital, summarised in English literature as the 'four freedoms': goods, services, persons and capital). An introductory block introduces the judicial system of the ECJ with the involvement of the courts of the Member States and deals with the types of actions. 		Lecture - Prof. Dr. Christine Godt
Dr. jur. Jörg-Alexander Cordes, LL.M.
Anne Klemeyer, LL.M.
  • Bachelor
2.02.855a/2.02.855b Applied Industrial Organization Tuesday: 12:00 - 16:00, weekly (from 08/04/25)
Description:
Lecture - Prof. Dr. Cristian Huse
  • Bachelor
2.02.1002 Advanced Managerial Accounting Wednesday: 18:00 - 20:00, weekly (from 09/04/25)
Description:
Exercises - Prof. Dr. Christoph Sextroh
Dr. rer. pol. Jonas Wessel
  • Master
  • Master of Education
2.02.1001 Advanced Managerial Accounting Wednesday: 16:00 - 18:00, weekly (from 09/04/25), Location: A01 0-008
Dates on Wednesday, 16.07.2025 16:00 - 17:30, Monday, 21.07.2025 - Tuesday, 22.07.2025 14:00 - 20:00, Location: A14 1-103 (Hörsaal 3), A01 0-008
Description:
Lecture - Prof. Dr. Christoph Sextroh
Dr. rer. pol. Jonas Wessel
  • Master
  • Master of Education
2.02.005 MA-Kolloquium VWL/ Environmental & Energy Economics The course times are not decided yet.
Description:
Colloquium for Master students. Colloquium for Master students. 		Colloquium - Prof. Dr. Emmanuel Asane-Otoo
  • Master
2.02.903 Empirical Research Methodologies: Perspectives and Practices in Developing Economies Thursday: 12:00 - 16:00, fortnightly (from 22/05/25)
Dates on Thursday, 15.05.2025, Thursday, 12.06.2025 12:00 - 16:00
Description:
Seminar - Dr. Hendrik Wolter
Dr. Musa Nkuba Shelembi
  • Master
2.13.011 Case Study Monday: 10:00 - 12:00, weekly (from 07/04/25)
Description:
Seminar 2 Prof. Dr. Ingo Mose
Malena Ripken
  • Master
2.02.1151 Wirtschafts- und Rechtschinesisch II Wednesday: 10:00 - 14:00, weekly (from 09/04/25)
Description:
Modul Master Zertifikatsprogramm "China-Kompetenz" Modul Master Zertifikatsprogramm "China-Kompetenz" 		Seminar - Yu-Feng Chiu
  • Master
2.02.1161 Culture in China Thursday: 14:00 - 16:00, weekly (from 10/04/25), Location: V03 0-M018
Dates on Thursday, 08.05.2025, Thursday, 15.05.2025, Thursday, 22.05.2025 14:00 - 18:00, Location: V04 1-146
Description:
Modul Master Zertifikatsprogramm "China - Kompetenz" Modul Master Zertifikatsprogramm "China - Kompetenz" 		Seminar - Hongrui Wang
  • Master
2.02.832 Maritime Law Monday: 16:00 - 18:00, weekly (from 07/04/25)
Description:
Seminar - Angeline Asangire Oprong
  • Master
2.01.180 Seminar Smart Data and Internet of Things Wednesday: 10:00 - 12:00, weekly (from 09/04/25)
Description:
Together with students from TUIT Urgench (Uzbekistan), current issues in the processing of extensive data in the IoT and in smart regions are developed and discussed in a research-oriented manner. Together with students from TUIT Urgench (Uzbekistan), current issues in the processing of extensive data in the IoT and in smart regions are developed and discussed in a research-oriented manner. 		Seminar 2 Dr. rer. nat. Christian Schönberg
Prof. Dr. Andreas Winter
  • Master
2.02.861 Development Economics Monday: 10:00 - 12:00, weekly (from 07/04/25)
Description:
Lecture - Prof. Dr. Jürgen Bitzer
Dr. rer. pol. Bernhard Dannemann
  • Master
2.01.536 Machine Learning with Scikit-Learn Dates on Monday, 22.09.2025 - Friday, 26.09.2025, Monday, 29.09.2025 10:00 - 18:00, Monday, 29.09.2025 16:00 - 18:00, Tuesday, 30.09.2025 10:00 - 18:00, Location: A05 0-056, A14 1-103 (Hörsaal 3)
Description:
This lecture introduces core machine learning concepts and their implementation in scikit-learn. Topics include classification methods (k-NN, SVM, Random Forest), regression techniques (linear, polynomial), and clustering algorithms (k-Means, DBSCAN). Dimensionality reduction with PCA and t-SNE, model evaluation metrics (cross-validation, ROC, precision-recall), and preprocessing steps such as normalization and feature selection are also covered. Practical examples using Python and scikit-learn illustrate key methods and their application to real datasets. This lecture introduces core machine learning concepts and their implementation in scikit-learn. Topics include classification methods (k-NN, SVM, Random Forest), regression techniques (linear, polynomial), and clustering algorithms (k-Means, DBSCAN). Dimensionality reduction with PCA and t-SNE, model evaluation metrics (cross-validation, ROC, precision-recall), and preprocessing steps such as normalization and feature selection are also covered. Practical examples using Python and scikit-learn illustrate key methods and their application to real datasets. 		Lecture - Prof. Dr. Oliver Kramer
  • Master
2.01.5458 Applied AI - Multimodal-Multisensor Interfaces 2: Signal Processing, Architectures, and Detection of Emotion and Cognition Dates on Tuesday, 22.04.2025 13:00 - 14:30
Description:
We begin with multimodal signal processing, architectures, and machine learning. It includes recent deep-learning approaches for processing multisensorial and multimodal user data and interaction, as well as context-sensitivity. A further highlight is processing of information about users' states and traits, an exciting emerging capability in next-generation user interfaces. We discuss real-time multimodal analysis of emotion and social signals from various modalities and perception of affective expression by users. Then we discuss multimodal processing of cognitive state using behavioral and physiological signals to detect cognitive load, domain expertise, deception, and depression. This collection of chapters provides walk-through examples of system design and processing, information on tools and practical resources for developing and evaluating new systems, and terminology, and tutorial support for mastering this rapidly expanding field. Finally, we look at experts' exchange views on the timely and controversial challenge topic of multimodal deep learning. The discussion focuses on how multimodal-multisensor interfaces are most likely to advance human performance during the next decade. This seminar is most appropriate for graduate students and of primary interest to students studying computer science and information technology, human-computer interfaces, mobile and ubiquitous interfaces, affective and behavioral computing, machine learning, and related multidisciplinary majors. Central part of the seminar is the reference book "The Handbook of Multimodal-Multisensor Interfaces: Signal Processing, Architectures, and Detection of Emotion and Cognition - Volume 2" (https://dl.acm.org/doi/book/10.1145/3107990). At the beginning there will be an introduction to the subject. Everyone will receive a chapter, for which a presentation (30 min. + 30 min. discussion) and a written elaboration (5-10 pages) are to be prepared. Contact: Hannes Kath, hannes.kath@uni-oldenburg.de We begin with multimodal signal processing, architectures, and machine learning. It includes recent deep-learning approaches for processing multisensorial and multimodal user data and interaction, as well as context-sensitivity. A further highlight is processing of information about users' states and traits, an exciting emerging capability in next-generation user interfaces. We discuss real-time multimodal analysis of emotion and social signals from various modalities and perception of affective expression by users. Then we discuss multimodal processing of cognitive state using behavioral and physiological signals to detect cognitive load, domain expertise, deception, and depression. This collection of chapters provides walk-through examples of system design and processing, information on tools and practical resources for developing and evaluating new systems, and terminology, and tutorial support for mastering this rapidly expanding field. Finally, we look at experts' exchange views on the timely and controversial challenge topic of multimodal deep learning. The discussion focuses on how multimodal-multisensor interfaces are most likely to advance human performance during the next decade. This seminar is most appropriate for graduate students and of primary interest to students studying computer science and information technology, human-computer interfaces, mobile and ubiquitous interfaces, affective and behavioral computing, machine learning, and related multidisciplinary majors. Central part of the seminar is the reference book "The Handbook of Multimodal-Multisensor Interfaces: Signal Processing, Architectures, and Detection of Emotion and Cognition - Volume 2" (https://dl.acm.org/doi/book/10.1145/3107990). At the beginning there will be an introduction to the subject. Everyone will receive a chapter, for which a presentation (30 min. + 30 min. discussion) and a written elaboration (5-10 pages) are to be prepared. Contact: Hannes Kath, hannes.kath@uni-oldenburg.de 		Seminar - Rida Saghir
Hannes Kath
Prof. Dr. Daniel Sonntag
  • Master
2.01.592 Advanced Topics in Applied Artificial Intelligence Dates on Monday, 07.04.2025 10:00 - 10:45, Monday, 16.06.2025 - Friday, 20.06.2025 10:00 - 17:00, Wednesday, 03.09.2025 10:00 - 13:00
Description:
This block seminar will explore advanced topics in artificial intelligence with a focus on embedding spaces, transfer learning, multimodal retrieval, and active learning. These techniques enable efficient information retrieval, data representation, and performance improvements across multiple domains while including multimedia data such as image, text, and audio data. We will also discuss visualization tools for embedding spaces and interpreting model outputs. This block seminar will explore advanced topics in artificial intelligence with a focus on embedding spaces, transfer learning, multimodal retrieval, and active learning. These techniques enable efficient information retrieval, data representation, and performance improvements across multiple domains while including multimedia data such as image, text, and audio data. We will also discuss visualization tools for embedding spaces and interpreting model outputs. 		Seminar - Rida Saghir
Hannes Kath
Prof. Dr. Daniel Sonntag
Thiago Gouvea
Novruz Mammadli
  • Master
2.13.042 Field-trip: Bremen The course times are not decided yet.
Description:
Study trip - Prof. Dr. Ingo Mose
  • Master
2.01.184 Advances in Security & Privacy The course times are not decided yet.
Description:
// Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments within the field of IT-security, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing a specific topic from the fields of security and/or privacy. There will be multiple topics, and each topic is to be tackled by an individual student. Students will be handed out material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. In the start of the course, all available topics will be introduced to the students so that they can pick a for them suitable topic. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// Explainable Machine Learning in Security Attacks on Searchable Encrypted Databases and Countermeasures (Semi-)Automated Security Event Handling in Security Operations Centers Post-Quantum Encryption Algorithms Interplay of Safety and Security Mobile-App Fingerprinting on Encrypted Network Traffic Biometric Template Protection Automated Extraction of Tactics, Techniques, and Procedures from Cyber Threat Reports Your Own Topic More details on the topics will follow. // Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments within the field of IT-security, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing a specific topic from the fields of security and/or privacy. There will be multiple topics, and each topic is to be tackled by an individual student. Students will be handed out material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. In the start of the course, all available topics will be introduced to the students so that they can pick a for them suitable topic. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// Explainable Machine Learning in Security Attacks on Searchable Encrypted Databases and Countermeasures (Semi-)Automated Security Event Handling in Security Operations Centers Post-Quantum Encryption Algorithms Interplay of Safety and Security Mobile-App Fingerprinting on Encrypted Network Traffic Biometric Template Protection Automated Extraction of Tactics, Techniques, and Procedures from Cyber Threat Reports Your Own Topic More details on the topics will follow. 		Seminar - Marvin Büchel
Prof. Dr. Andreas Peter
  • Master
2.02.994 Financial Risk Management Wednesday: 08:00 - 10:00, weekly (from 09/04/25)
Description:
The course provides insights into the theory and practice of modern financial business risk management, including: • the concept of risk, types of financial risks, and approaches to risk measurement; • the mechanics of financial markets, including derivatives markets; • the properties of selected financial instruments, including financial derivatives such as forwards, futures, options, and swaps; • tools and techniques for managing financial risks. The course provides insights into the theory and practice of modern financial business risk management, including: • the concept of risk, types of financial risks, and approaches to risk measurement; • the mechanics of financial markets, including derivatives markets; • the properties of selected financial instruments, including financial derivatives such as forwards, futures, options, and swaps; • tools and techniques for managing financial risks. 		Exercises - Wiebke Clausing
Prof. Dr. Jörg Prokop
  • Master
2.03.004 Internal Market and Competition Law Wednesday: 10:00 - 12:00, weekly (from 09/04/25)
Description:
Students will be able to use academic research methods to present issues of international and European internal market law in a controversial and theory-based manner (delimitation of the topic, clarification of the research question), develop an independent answer using literature and write it down according to the rules of academic writing. in writing. Selected areas of EU competence ('policies'), in particular the internal market and competition law. competition law. By the end of the module, students will not only be able to develop and work on a research question on their own, but will also be able to present and defend their results to an audience, and to self-reflect on the strengths and weaknesses of their academic work. Students will be able to use academic research methods to present issues of international and European internal market law in a controversial and theory-based manner (delimitation of the topic, clarification of the research question), develop an independent answer using literature and write it down according to the rules of academic writing. in writing. Selected areas of EU competence ('policies'), in particular the internal market and competition law. competition law. By the end of the module, students will not only be able to develop and work on a research question on their own, but will also be able to present and defend their results to an audience, and to self-reflect on the strengths and weaknesses of their academic work. 		Lecture - Prof. Dr. Christine Godt
Dr. jur. Jörg-Alexander Cordes, LL.M.
Anne Klemeyer, LL.M.
  • Bachelor
2.02.350 International Economics Dates on Monday, 23.06.2025 14:00 - 18:00, Wednesday, 25.06.2025 10:00 - 12:00, Wednesday, 25.06.2025 16:00 - 18:00, Friday, 27.06.2025 10:00 - 12:00, Friday, 27.06.2025 16:00 - 18:00, Wednesday, 02.07.2025 10:00 - 12:00, Wednesday, 02.07.2025 16:00 - 18:00, Friday, 04.07.2025 10:00 - 12:00, Friday, 04.07.2025 16:00 - 18:00, Wednesday, 09.07.2025 10:00 - 12:00 ...(more)
Description:
Lecture - Dr. rer. pol. Peter Eppinger
  • Bachelor
2.02.195 Environment and Inequality: Socioeconomic Linkages and Policy Instruments Monday: 12:00 - 14:00, weekly (from 14/04/25)
Description:
Inequality and environmental matters are multidimensional, intertwined and complex. They might unfold self-enforcing negative effects on human wel- fare and wellbeing. In this sense, they affect economic growth, development, environment, education, health, social and political stability, etc. The current trends of inequality within and between countries are worrisome. At the same time, global warming and climate change severely and unequally affect human’s wellbeing and economies. Understanding and tackling these pressing problems should therefore be among the priorities of economists. Reducing poverty and inequality as well as fighting climate change are central elements of the sustainable development goals (2030 Agenda) and rank high in most policy agendas. However, while some policy measures designed to reduce poverty and inequality could negatively affect the environment, environmen- tal policies often cause undesirable distributional effects. The distributive ef- fects (‘incidence’) of environmental policies are indeed becoming increasingly important for the political feasibility of environmental policies addressing e.g. climate change or biodiversity loss. Against this background, a more holistic approach integrating climate actions with measures to reduce poverty and inequality is needed. In this course, we study these issues applying and extending state-of-the-art economic methods. Particularly, we consider insights of behavioral economics in order to provide a deeper and more integrated analysis of these highly intertwined themes. Inequality and environmental matters are multidimensional, intertwined and complex. They might unfold self-enforcing negative effects on human wel- fare and wellbeing. In this sense, they affect economic growth, development, environment, education, health, social and political stability, etc. The current trends of inequality within and between countries are worrisome. At the same time, global warming and climate change severely and unequally affect human’s wellbeing and economies. Understanding and tackling these pressing problems should therefore be among the priorities of economists. Reducing poverty and inequality as well as fighting climate change are central elements of the sustainable development goals (2030 Agenda) and rank high in most policy agendas. However, while some policy measures designed to reduce poverty and inequality could negatively affect the environment, environmen- tal policies often cause undesirable distributional effects. The distributive ef- fects (‘incidence’) of environmental policies are indeed becoming increasingly important for the political feasibility of environmental policies addressing e.g. climate change or biodiversity loss. Against this background, a more holistic approach integrating climate actions with measures to reduce poverty and inequality is needed. In this course, we study these issues applying and extending state-of-the-art economic methods. Particularly, we consider insights of behavioral economics in order to provide a deeper and more integrated analysis of these highly intertwined themes. 		Lecture - Dr. Anelise Rahmeier Seyffarth
  • Bachelor
2.02.982 Advanced Financial Accounting Thursday: 16:00 - 18:00, weekly (from 10/04/25)
Description:
Students have to understand the theoretical orientation and the institutional structure of financial accounting and standard setting. Many important standards, such as fair value accounting, financial instruments, reserve recognition accounting, management discussion and analysis, employee stock options, impairment tests, hedge accounting, derecognition, consolidation, and comprehensive income, will be analyzed and critically evaluated from students. This course aims to provide students with an in-depth understanding of the underlying accounting concepts and accounting standards governing the preparation of financial statements under International Financial Reporting Standards (IFRS) for external users. Furthermore it develop students' conceptual skills and professional competence in financial accounting in compliance with the regulatory and financial framework under IFRS. Students have to understand the theoretical orientation and the institutional structure of financial accounting and standard setting. Many important standards, such as fair value accounting, financial instruments, reserve recognition accounting, management discussion and analysis, employee stock options, impairment tests, hedge accounting, derecognition, consolidation, and comprehensive income, will be analyzed and critically evaluated from students. This course aims to provide students with an in-depth understanding of the underlying accounting concepts and accounting standards governing the preparation of financial statements under International Financial Reporting Standards (IFRS) for external users. Furthermore it develop students' conceptual skills and professional competence in financial accounting in compliance with the regulatory and financial framework under IFRS. 		Exercises - Prof. Dr. Christoph Sextroh
  • Master
  • Master of Education
2.01.5460 Applied AI - Multimodal-Multisensor Interfaces 3: Language Processing, Software, Commercialization, and Emerging Directions Dates on Tuesday, 22.04.2025 13:00 - 14:30
Description:
This third seminar takes the contents of the first two seminars—namely, the motivations, foundational concepts, basic modality combinations, component analyses, and recognition and fusion techniques—to the next level. MMI 3 discusses how to design and build functioning multimodal-multisensor systems that can sustain real-world use. This seminar is most appropriate for graduate students and of primary interest to students studying computer science and information technology, human-computer interfaces, mobile and ubiquitous interfaces, affective and behavioral computing, machine learning, and related multidisciplinary majors. It is very useful if you want to work on practical applications, transfer of AI technology to application domains such as medicine and healthcare, and industrial prototypes. Afterward, students might engage in a hands-on project in which they design, build, and evaluate the performance of a multimodal system in our project group MMI II (https://elearning.uni-oldenburg.de/dispatch.php/course/details?sem_id=098bd500a63e723551364c7f921755b5&again=yes). Central part of the seminar is the reference book "The Handbook of Multimodal-Multisensor Interfaces: Language Processing, Software, Commercialization, and Emerging Directions - Volume 3" (https://dl.acm.org/doi/book/10.1145/3233795). At the beginning there will be an introduction to the subject. Everyone will receive a chapter, for which a presentation (30 min. + 30 min. discussion) and a written elaboration (5-10 pages) are to be prepared. Contact: Rida Saghir, rida.saghir@uni-oldenburg.de This third seminar takes the contents of the first two seminars—namely, the motivations, foundational concepts, basic modality combinations, component analyses, and recognition and fusion techniques—to the next level. MMI 3 discusses how to design and build functioning multimodal-multisensor systems that can sustain real-world use. This seminar is most appropriate for graduate students and of primary interest to students studying computer science and information technology, human-computer interfaces, mobile and ubiquitous interfaces, affective and behavioral computing, machine learning, and related multidisciplinary majors. It is very useful if you want to work on practical applications, transfer of AI technology to application domains such as medicine and healthcare, and industrial prototypes. Afterward, students might engage in a hands-on project in which they design, build, and evaluate the performance of a multimodal system in our project group MMI II (https://elearning.uni-oldenburg.de/dispatch.php/course/details?sem_id=098bd500a63e723551364c7f921755b5&again=yes). Central part of the seminar is the reference book "The Handbook of Multimodal-Multisensor Interfaces: Language Processing, Software, Commercialization, and Emerging Directions - Volume 3" (https://dl.acm.org/doi/book/10.1145/3233795). At the beginning there will be an introduction to the subject. Everyone will receive a chapter, for which a presentation (30 min. + 30 min. discussion) and a written elaboration (5-10 pages) are to be prepared. Contact: Rida Saghir, rida.saghir@uni-oldenburg.de 		Seminar - Rida Saghir
Hannes Kath
Prof. Dr. Daniel Sonntag
Novruz Mammadli
  • Master
2.01.800-E Proseminar Smart Data Interoperability Wednesday: 10:00 - 12:00, weekly (from 09/04/25)
Dates on Wednesday, 02.07.2025 10:00 - 12:00, Wednesday, 09.07.2025 10:15 - 11:45, Friday, 11.07.2025 10:30 - 15:00, Friday, 25.07.2025 23:30 - 23:59
Description:
Seminar 2 Prof. Dr. Andreas Winter
Dr. rer. nat. Christian Schönberg
  • Bachelor
  • Master of Education
2.01.AM-2 Oberseminar Applied Artificial Intelligence Tuesday: 08:00 - 10:00, weekly (from 08/04/25)
Description:
Your Advisor and Your Committee In order to write a bachelor’s or master’s thesis you must find a member of the IML lab who is willing to be your thesis advisor. You propose your thesis topic together with your advisor to Prof. Sonntag as the first reviewer in your committee. How Long Should it Be? How Long Does it Take? A bachelor’s thesis is generally 20-40 pages, not including the bibliography. A master’s thesis is generally 40-80 pages, not including the bibliography. However, the length will vary according to the topic and the method of analysis, so the appropriate length will be determined by you, your advisor, and your committee. Students who write a master’s thesis generally do so over two semesters, bachelor’s one semester. More information: https://iml.dfki.de/teaching/writing-a-thesis/ Your Advisor and Your Committee In order to write a bachelor’s or master’s thesis you must find a member of the IML lab who is willing to be your thesis advisor. You propose your thesis topic together with your advisor to Prof. Sonntag as the first reviewer in your committee. How Long Should it Be? How Long Does it Take? A bachelor’s thesis is generally 20-40 pages, not including the bibliography. A master’s thesis is generally 40-80 pages, not including the bibliography. However, the length will vary according to the topic and the method of analysis, so the appropriate length will be determined by you, your advisor, and your committee. Students who write a master’s thesis generally do so over two semesters, bachelor’s one semester. More information: https://iml.dfki.de/teaching/writing-a-thesis/ 		Seminar 2 Michael Barz, M. Sc.
Ilira Hiller
Hannes Kath
Prof. Dr. Daniel Sonntag
  • Master
  • Bachelor
  • Master of Education
2.02.752a Transnational Biodiversity and Genetic Resources Law I Thursday: 16:00 - 18:00, weekly (from 10/04/25)
Description:
Teil I Teil I 		Seminar - Dr. Evanson Chege Kamau
  • Master
2.02.361 Umweltökonomie/Environmental Economics Wednesday: 10:00 - 12:00, weekly (from 09/04/25)
Description:
Lecture - Thomas Handke
Prof. Dr. Cristian Huse
  • Bachelor
  • Master
2.02.862 Development Economics Dates on Saturday, 21.06.2025 - Sunday, 22.06.2025 09:00 - 18:00
Description:
Seminar - Prof. Dr. Jürgen Bitzer
Dr. rer. pol. Bernhard Dannemann
  • Master
2.02.073 Sustainable Supply Chain Management Thursday: 10:00 - 12:00, weekly (from 10/04/25)
Description:
Seminar - Prof. Dr. Christian Busse
Dr. Satwant Dahiya
  • Master
2.02.991 Banking Friday: 08:00 - 12:00, weekly (from 11/04/25)
Dates on Friday, 04.07.2025 08:00 - 10:30
Description:
We will discuss theoretical foundations of financial intermediation in general, and of banking in particular as well as the economic, institutional, and regulatory context in which financial institutions operate today. Moreover, we will cover selected topics in the area of bank management and bank accounting.. We will discuss theoretical foundations of financial intermediation in general, and of banking in particular as well as the economic, institutional, and regulatory context in which financial institutions operate today. Moreover, we will cover selected topics in the area of bank management and bank accounting.. 		Lecture - Dr. Gunnar Jansen
Dr. Haoshen Hu
  • Master
  • Master of Education
2.01.5124 Research Project Digitalised Energy Systems The course times are not decided yet.
Description:
Practical training - Prof. Dr.-Ing. habil. Andreas Rauh
Prof. Dr. Sebastian Lehnhoff
Prof. Dr. Astrid Nieße
Jörg Bremer
  • Master
2.02.833 Marine Law Monday: 14:00 - 16:00, weekly (from 07/04/25)
Description:
Seminar - Angeline Asangire Oprong
  • Master
2.01.5454 Current Topics in Artificial Intelligence for Health Friday: 10:00 - 12:00, weekly (from 11/04/25)
Description:
This seminar is supposed to cover current publications and/or research topics in the domain of machine learning with particular regard to applications in the health domain. This includes topics with a strong methodological focus (such as self-supervised learning, quality criteria for ML algorithms such as interpretability/uncertainty quantification) but also medical application topics. This seminar is supposed to cover current publications and/or research topics in the domain of machine learning with particular regard to applications in the health domain. This includes topics with a strong methodological focus (such as self-supervised learning, quality criteria for ML algorithms such as interpretability/uncertainty quantification) but also medical application topics. 		Seminar 2 Prof. Dr. Nils Strodthoff
  • Master
2.02.383 Economic Growth Tuesday: 10:00 - 12:00, weekly (from 08/04/25), Location: A14 1-112
Dates on Monday, 14.07.2025 10:00 - 10:30, Location: A07 0-030 (Hörsaal G)
Description:
Lecture - Prof. Dr. Jürgen Bitzer
  • Bachelor
2.02.1002p Accounting Analytics The course times are not decided yet.
Description:
Project - Prof. Dr. Christoph Sextroh
Dr. rer. pol. Jonas Wessel
  • Master
2.01.369-A Selected topics in nanomechanics and the mechanical characterization of nanomaterials using microscopy Wednesday: 08:00 - 10:00, weekly (from 09/04/25)
Description:
The functionality of biomimetic reversable adhesives, ultra-high strength nanocomposites, piezoelectric nanogenerators, electromechanical contact switches, mechanical resonators, as well as ultra-sensitive force and chemical sensors is dependent on nanomechanical phenomena. To experimentally investigate nanomechanical phenomena, nanorobotics and microscopy tools are combined and exploited. A variety of topics within the field of nanomechanics and related experimental methods and tools are presented in an introductory lecture. Students select a topic that they are most interested in to carry out individual work. Topics can be more theoretically or practically orientated depending on the curiosity of the student. Students can also propose their own topics. Students can also be provided with the opportunity to conduct laboratory work, including carrying out nanomanipulation using optical or scanning electron microscopes. In the second half of semester, each student will give a lecture or presentation on their selected topic, and will be provided feedback on both their content and communication skills. Learning objectives: • Acquire knowledge in the field of nanomechanics, including: o fundamental concepts in the mechanic properties of materials, o the advantages, challenges, and application of nanomaterials, o microscopy and nanohandling basics and their application towards studying the mechanics of nanomaterials o insights into the state of the art in nanomechanics research. • Further develop research and communication skills through self-directed reading and presentations. The functionality of biomimetic reversable adhesives, ultra-high strength nanocomposites, piezoelectric nanogenerators, electromechanical contact switches, mechanical resonators, as well as ultra-sensitive force and chemical sensors is dependent on nanomechanical phenomena. To experimentally investigate nanomechanical phenomena, nanorobotics and microscopy tools are combined and exploited. A variety of topics within the field of nanomechanics and related experimental methods and tools are presented in an introductory lecture. Students select a topic that they are most interested in to carry out individual work. Topics can be more theoretically or practically orientated depending on the curiosity of the student. Students can also propose their own topics. Students can also be provided with the opportunity to conduct laboratory work, including carrying out nanomanipulation using optical or scanning electron microscopes. In the second half of semester, each student will give a lecture or presentation on their selected topic, and will be provided feedback on both their content and communication skills. Learning objectives: • Acquire knowledge in the field of nanomechanics, including: o fundamental concepts in the mechanic properties of materials, o the advantages, challenges, and application of nanomaterials, o microscopy and nanohandling basics and their application towards studying the mechanics of nanomaterials o insights into the state of the art in nanomechanics research. • Further develop research and communication skills through self-directed reading and presentations. 		Seminar 2 Dr. James Mead
  • Master
2.02.365 Applied Environmental Economics Tuesday: 16:00 - 20:00, weekly (from 08/04/25)
Dates on Tuesday, 29.07.2025 16:00 - 18:00
Description:
Lecture - Mirlind Mustafa
Thomas Handke
Prof. Dr. Cristian Huse
  • Master
2.01.810 Explainable Artificial Intelligence - Introduction and Application Design Dates on Tuesday, 22.04.2025 16:15 - 17:30, Monday, 25.08.2025 - Friday, 29.08.2025 09:00 - 18:00, Tuesday, 30.09.2025 09:00 - 13:00
Description:
This course combines theoretical foundations from the field of Explainable Artificial Intelligence (XAI) with practical implementations for real-world problems. The course is stuctured in 4 parts: Part I includes the research of the theoretical background of Explainable Artificfial Intelligence (XAI). Part II is a 1-week programming block seminar covering the basics of XAI. In Part III, you will build and evaluate your own real-world XAI application and write a term paper. Part IV is a presentation and feedback session. Please download the instructions for the assignment to get a detailed overview of the course structure. This module will be held in cooperation with students from the Ruhr University Bochum (Prof. Dr. Christian Meske). The entire course takes place online. All course materials will be made available in the cloud storage of the Ruhr Universität Bochum. To access them, please create an account by following the steps below: 1. https://moodle.ruhr-uni-bochum.de/login/index.php 2. create a new account ("Neues Konto anlegen") 3. accept the "Terms of Use 4. accept the "Privacy Policy 5. fill in the document 5.1 Reason for creating an account Participation in a course (study outside the RUB) ("Grund für die Erstellung des Kontos: Teilnahme an einer Lehrveranstaltung (Studium außerhalb der RUB)") 6. confirm your email address via the link in RUB Moodle: Confirmation of access (mail may take a few minutes) 7. search for the course: (Name and PW will be announced soon) This course combines theoretical foundations from the field of Explainable Artificial Intelligence (XAI) with practical implementations for real-world problems. The course is stuctured in 4 parts: Part I includes the research of the theoretical background of Explainable Artificfial Intelligence (XAI). Part II is a 1-week programming block seminar covering the basics of XAI. In Part III, you will build and evaluate your own real-world XAI application and write a term paper. Part IV is a presentation and feedback session. Please download the instructions for the assignment to get a detailed overview of the course structure. This module will be held in cooperation with students from the Ruhr University Bochum (Prof. Dr. Christian Meske). The entire course takes place online. All course materials will be made available in the cloud storage of the Ruhr Universität Bochum. To access them, please create an account by following the steps below: 1. https://moodle.ruhr-uni-bochum.de/login/index.php 2. create a new account ("Neues Konto anlegen") 3. accept the "Terms of Use 4. accept the "Privacy Policy 5. fill in the document 5.1 Reason for creating an account Participation in a course (study outside the RUB) ("Grund für die Erstellung des Kontos: Teilnahme an einer Lehrveranstaltung (Studium außerhalb der RUB)") 6. confirm your email address via the link in RUB Moodle: Confirmation of access (mail may take a few minutes) 7. search for the course: (Name and PW will be announced soon) 		Seminar - Hannes Kath
Prof. Dr. Daniel Sonntag
  • Master
2.01.5456 Applied AI - Multimodal-Multisensor Interfaces 1: Foundations, User Modeling, and Common Modality Combination Dates on Tuesday, 22.04.2025 13:00 - 14:30
Description:
We look at relevant theory and neuroscience foundations for guiding the development of high-performance systems. We discuss approaches to user modeling, interface design that supports user choice, synergistic combination of modalities with sensors, and blending of multimodal input and output. We also highlight an in-depth look at the most common multimodal-multisensor combinations- for example, touch and pen input, haptic and non-speech audio output, and speech co-processed with visible lip movements, gaze, gestures, or pen input. A common theme throughout is support for mobility and individual differences among users-including the world's rapidly growing population of seniors. This seminar would be most appropriate for graduate students, and of primary interest to students studying computer science and information technology, human–computer interfaces, mobile and ubiquitous interfaces, and related multidisciplinary majors. Central part of the seminar is the reference book "The Handbook of Multimodal-Multisensor Interfaces: Signal Processing, Architectures, and Detection of Emotion and Cognition - Volume 1" (https://dl.acm.org/doi/book/10.1145/3015783). At the beginning there will be an introduction to the subject. Everyone will receive a chapter, for which a presentation (30 min. + 30 min. discussion) and a written elaboration (5-10 pages) are to be prepared. Contact: Ilira Troshani, ilira.troshani@uni-oldenburg.de We look at relevant theory and neuroscience foundations for guiding the development of high-performance systems. We discuss approaches to user modeling, interface design that supports user choice, synergistic combination of modalities with sensors, and blending of multimodal input and output. We also highlight an in-depth look at the most common multimodal-multisensor combinations- for example, touch and pen input, haptic and non-speech audio output, and speech co-processed with visible lip movements, gaze, gestures, or pen input. A common theme throughout is support for mobility and individual differences among users-including the world's rapidly growing population of seniors. This seminar would be most appropriate for graduate students, and of primary interest to students studying computer science and information technology, human–computer interfaces, mobile and ubiquitous interfaces, and related multidisciplinary majors. Central part of the seminar is the reference book "The Handbook of Multimodal-Multisensor Interfaces: Signal Processing, Architectures, and Detection of Emotion and Cognition - Volume 1" (https://dl.acm.org/doi/book/10.1145/3015783). At the beginning there will be an introduction to the subject. Everyone will receive a chapter, for which a presentation (30 min. + 30 min. discussion) and a written elaboration (5-10 pages) are to be prepared. Contact: Ilira Troshani, ilira.troshani@uni-oldenburg.de 		Seminar - Rida Saghir
Hannes Kath
Prof. Dr. Daniel Sonntag
  • Master
2.02.351 International Economics Dates on Monday, 28.04.2025 12:00 - 14:00, Wednesday, 16.07.2025 - Thursday, 17.07.2025 09:00 - 18:00
Description:
Seminar - Dr. rer. pol. Peter Eppinger
  • Bachelor
66 Seminars

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