Veranstaltungsverzeichnis_LVSG

Veranstaltungsverzeichnis_LVSG

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

Winter semester 2024/2025 80 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
2.02.042 Wirtschafts- und Rechtschinesisch I Wednesday: 10:00 - 14:00, weekly (from 16/10/24)
Description:
Modul Master Zertifikatsprogramm "China-Kompetenz" Modul Master Zertifikatsprogramm "China-Kompetenz" 		Seminar - Yu-Feng Chiu
  • Master
2.02.853 Spatial Econometrics (Course) Tuesday: 14:00 - 16:00, weekly (from 15/10/24)
Description:
Lecture - Prof. Dr. Erkan Gören
  • Bachelor
  • Master
2.01.176 Social Computing Dates on Friday, 08.11.2024, Friday, 06.12.2024, Friday, 17.01.2025 10:00 - 16:00, Friday, 07.02.2025 10:00 - 12:00
Description:
In this module, students will critically explore technology as a way for people to observe and interact with others, in particular social media and purpose-built online forums. We will focus on understanding who uses social media to consume and communicate material as well as what topics are discussed how and for what purposes. Throughout, we will discuss the implications for designing new technologies. As part of this module, we will review core skills for conducting and documenting a study that are vital for successful completion of a Masters thesis. Skills include how to review the literature, how to read a paper in human-computer interaction, how to formulate a research question, how to design a qualitative study, and how to conduct and present qualitative data analysis. In the first part, we will work on lecturer provided data sets, in the second part, students are expected to curate their own. In this module, students will critically explore technology as a way for people to observe and interact with others, in particular social media and purpose-built online forums. We will focus on understanding who uses social media to consume and communicate material as well as what topics are discussed how and for what purposes. Throughout, we will discuss the implications for designing new technologies. As part of this module, we will review core skills for conducting and documenting a study that are vital for successful completion of a Masters thesis. Skills include how to review the literature, how to read a paper in human-computer interaction, how to formulate a research question, how to design a qualitative study, and how to conduct and present qualitative data analysis. In the first part, we will work on lecturer provided data sets, in the second part, students are expected to curate their own. 		Seminar - Dr. phil. Maria Wolters
Tobias Lunte
Mikolaj Wozniak
  • 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
2.01.591 Verification of Distributed AI Systems Friday: 10:00 - 12:00, weekly (from 18/10/24)
Description:
Lecture 2 Prof. Dr. Astrid Nieße
Jens Sager
  • Master
2.02.681 Advanced Microeconomics Tuesday: 08:00 - 10:00, weekly (from 15/10/24), Location: A14 1-103 (Hörsaal 3)
Wednesday: 08:00 - 10:00, weekly (from 16/10/24), Location: A14 1-103 (Hörsaal 3), V03 0-C003
Dates on Monday, 10.02.2025 12:30 - 14:00, Monday, 17.03.2025 14:00 - 15:30, Location: A07 0-030 (Hörsaal G), A11 1-101 (Hörsaal B)
Description:
Lecture - Prof. Dr. Carsten Helm
Laura Schürer
Daniel Rüb
  • Master
2.12.092 Economics of Climate Change Monday: 10:00 - 12:00, weekly (from 14/10/24)
Description:
Lecture - Laura Schürer
  • Master
2.02.392 Exercise: Resource and Energy Economics Thursday: 14:00 - 16:00, weekly (from 12/12/24)
Description:
Exercises - Prof. Dr. Emmanuel Asane-Otoo
  • Bachelor
  • Master
2.02.869a Applied Economics - Exercise A Wednesday: 10:00 - 12:00, weekly (from 16/10/24)
Description:
Seminar - Dr. rer. pol. Bernhard Dannemann
  • Master
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
2.08.221 Advanced Lectures in European Economic Law Tuesday: 12:00 - 14:00, weekly (from 15/10/24)
Description:
Lecture 2 Dr.Jur. Victoria Chege, LL.M.Eur.
  • Bachelor
2.02.842 International Finance and Exchange Rates Dates on Friday, 24.01.2025, Thursday, 30.01.2025, Monday, 03.02.2025 - Tuesday, 04.02.2025 09:00 - 18:00, Location: A01 0-005, A05 0-055
Description:
Seminar - Prof. Dr. Hans-Michael Trautwein
  • Master
2.01.900-F Project Group "AIM - Artificial Intelligence for Multimodal & Multisensor Applications" The course times are not decided yet.
Description:
- Lecturers: Aliki Anagnostopoulou, Michael Barz, Prof. Dr. Daniel Sonntag - Contact: Aliki Anagnostopoulou - Teaching language: English - Lecturers: Aliki Anagnostopoulou, Michael Barz, Prof. Dr. Daniel Sonntag - Contact: Aliki Anagnostopoulou - Teaching language: English 		Practical training - Prof. Dr. Daniel Sonntag
  • Master
2.02.344 Financial Management Thursday: 08:00 - 10:00, weekly (from 17/10/24), Location: A05 0-054
Dates on Thursday, 05.12.2024 08:15 - 09:05, Location: A07 0-030 (Hörsaal G)
Description:
Exercises - Prof. Dr. Jörg Prokop
Julian Hundertmark
  • Bachelor
  • Master of Education
  • Master
2.02.722b Ökonometrie Wednesday: 14:00 - 16:00, weekly (from 16/10/24)
Description:
Exercises - Abigail Opokua Asare
  • Bachelor
  • Master
2.02.681a Übung: 2.02.681a Advanced Microeconomics UE1 Wednesday: 12:00 - 14:00, fortnightly (from 23/10/24)
Description:
Exercises - Laura Schürer
Daniel Rüb
  • Master
2.01.5458 Applied AI - Multimodal-Multisensor Interfaces 2: Signal Processing, Architectures, and Detection of Emotion and Cognition The course times are not decided yet.
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
Ilira Hiller
Hannes Kath
Prof. Dr. Daniel Sonntag
  • Master
2.03.042 Comparative Property Law Monday: 12:00 - 14:00, weekly (from 21/10/24)
Tuesday: 10:00 - 12:00, weekly (from 05/11/24)
Description:
Lecture - Prof. Dr. Christine Godt
Dr. jur. Jörg-Alexander Cordes, LL.M.
Sjef van Erp
  • Bachelor
2.13.011 Case Study Monday: 10:00 - 12:00, weekly (from 14/10/24)
Description:
Seminar 2 Prof. Dr. Ingo Mose
Malena Ripken
  • Master
2.01.5452 Current Topics in Interpretable/Explainable AI (XAI) Monday: 08:00 - 10:00, weekly (from 14/10/24)
Description:
This seminar will cover different aspects of interpretable/explainable AI (XAI) ranging from inherently interpretable models over perturbation-based methods, such as Shapley values, to gradient-/decomposition-based approaches and their quantitative evaluation. Going beyond conventional single-feature attribution methods, we will also discuss current concept-based attribution methods, ways to assess feature interactions and connections to causality. This seminar will cover different aspects of interpretable/explainable AI (XAI) ranging from inherently interpretable models over perturbation-based methods, such as Shapley values, to gradient-/decomposition-based approaches and their quantitative evaluation. Going beyond conventional single-feature attribution methods, we will also discuss current concept-based attribution methods, ways to assess feature interactions and connections to causality. 		Seminar 2 Prof. Dr. Nils Strodthoff
  • Master
2.02.320 Renewable Energy Management Wednesday: 14:00 - 16:00, weekly (from 16/10/24)
Description:
Lecture - Prof. Dr. Jörn Hoppmann
  • Master
2.02.972 Financial Statement Analysis and Equity Valuation Wednesday: 14:00 - 16:00, weekly (from 16/10/24), Location: A05 0-054
Dates on Wednesday, 23.10.2024, Wednesday, 30.10.2024 12:00 - 14:00, Location: A01 0-005
Description:
Exercises - Wiebke Clausing
  • Master of Education
  • Master
2.02.041 Law in China Monday: 10:00 - 14:00, weekly (from 14/10/24)
Description:
Modul Master Zertifikatsprogramm "China-Kompetenz". Darstellung wichtiger Rechtsvorschriften der VR China Modul Master Zertifikatsprogramm "China-Kompetenz". Darstellung wichtiger Rechtsvorschriften der VR China 		Lecture - Per Yuen
  • Master
2.02.992 Accounting for Sustainability Wednesday: 14:00 - 18:00, weekly (from 16/10/24)
Description:
Seminar - Prof. Dr. Christoph Sextroh
  • Bachelor
  • Master
2.01.420-a Introduction to IT-Security (Ü) Wednesday: 16:00 - 18:00, weekly (from 30/10/24)
Description:
Exercises 2 Marvin Büchel
Prof. Dr. Andreas Peter
  • Bachelor
  • Master of Education
  • Master
2.01.809 Selected Topics in IT-Security Thursday: 14:00 - 16:00, weekly (from 17/10/24)
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
2.02.841 International Finance and Monetary Economics Tuesday: 14:00 - 16:00, weekly (from 15/10/24)
Description:
Lecture - Prof. Dr. Hans-Michael Trautwein
  • Master
2.01.5456 Applied AI - Multimodal-Multisensor Interfaces 1: Foundations, User Modeling, and Common Modality Combination The course times are not decided yet.
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
Ilira Hiller
Hannes Kath
Prof. Dr. Daniel Sonntag
  • Master
2.01.962b CS4Science - Tutorial B Mittwoch: 16:00 - 18:00, wöchentlich (from 16/10/24), Location: V02 0-003
Dates on Friday, 29.11.2024 09:00 - 10:00, Friday, 29.11.2024 10:15 - 11:15, Location: A03 2-209
Description:
This cource introduces basic concepts of Computer Science and also a short introduction to programming in the programming language Python. This cource introduces basic concepts of Computer Science and also a short introduction to programming in the programming language Python. 		Exercises 2 Dr. Ute Vogel-Sonnenschein
  • Bachelor
  • Master
10.28.112 Rechtsvergleichung Wednesday: 14:00 - 16:00, weekly (from 30/10/24)
Description:
Seminar - Angeline Asangire Oprong
  • Bachelor
2.03.001 Introduction to International and European Law Monday: 12:00 - 14:00, weekly (from 14/10/24)
Description:
Lecture - Prof. Dr. Christine Godt
Dr. jur. Jörg-Alexander Cordes, LL.M.
Friederike Ottehenning, LL. M.
  • Bachelor
2.08.222 International Economic Law Tuesday: 14:00 - 16:00, weekly (from 15/10/24)
Description:
Lecture 2 Dr.Jur. Victoria Chege, LL.M.Eur.
  • Bachelor
2.02.022 Perspectives and Instruments of Corporate Sustainability - Seminar Thursday: 14:00 - 16:00, weekly (from 17/10/24), Location: V04 0-033, V03 0-C002
Description:
Seminar - Dr. Hendrik Wolter
Sophie Berg
  • Master
2.02.971 Financial Statement Analysis and Equity Valuation Monday: 10:00 - 12:00, weekly (from 14/10/24)
Description:
Lecture - Prof. Dr. Jörg Prokop
  • Master of Education
  • Master
2.01.5126 Digitalised Energy System Cyber-Resilience Wednesday: 12:00 - 14:00, weekly (from 16/10/24)
Description:
Seminar 2 Prof. Dr. Sebastian Lehnhoff
Jörg Bremer
René Kuchenbuch
  • Master
2.12.011 Environmental Economics Monday: 14:00 - 16:00, weekly (from 14/10/24), Location: A05 0-056
Tuesday: 16:00 - 18:00, weekly (from 15/10/24), Location: A05 0-056
Dates on Wednesday, 12.02.2025 09:00 - 10:30, Wednesday, 19.03.2025 13:30 - 15:00, Location: A07 0-030 (Hörsaal G)
Description:
Roughly every 4th date takes place as an exercise, the other dates as a lecture Roughly every 4th date takes place as an exercise, the other dates as a lecture 		Lecture - Prof. Dr. Carsten Helm
  • Master
2.13.056 Cases in Understanding Bioplanet Earth Monday: 12:00 - 14:00, weekly (from 14/10/24)
Description:
Seminar - Dr. Claudia Ehlert
Priv.-Doz.Dr. Holger Freund
Dr. Marion Pohlner
Dr. Sven Rohde
Dr. Markus Prinz
  • Master
2.01.5408a Applied Deep Learning in PyTorch (Ü) Wednesday: 16:00 - 18:00, weekly (from 16/10/24)
Description:
Exercises 2 Prof. Dr. Nils Strodthoff
Tiezhi Wang
  • Master
2.02.343 Financial Management Tuesday: 08:00 - 10:00, weekly (from 15/10/24)
Description:
Lecture - Prof. Dr. Jörg Prokop
Julian Hundertmark
  • Bachelor
  • Master of Education
  • Master
2.13.055 Understanding Bioplanet Earth Tuesday: 08:00 - 10:00, weekly (from 15/10/24)
Description:
Lecture - Dr. Claudia Ehlert
Dr. Markus Prinz
Dr. Marion Pohlner
Dr. Sven Rohde
Priv.-Doz.Dr. Holger Freund
  • Master
2.02.122 Managerial Accounting (Tutorials) Tuesday: 18:00 - 20:00, weekly (from 15/10/24), Location: A10 1-121 (Hörsaal F)
Wednesday: 08:00 - 10:00, weekly (from 16/10/24), Location: A06 0-001
Wednesday: 10:00 - 12:00, weekly (from 16/10/24), Location: A14 1-101 (Hörsaal 1), (online)
Thursday: 16:00 - 18:00, weekly (from 17/10/24), Location: A07 0-030 (Hörsaal G)
Description:
Exercises - Prof. Dr. Christoph Sextroh
Leon Ossenbeck
Melvin Tammen
  • Bachelor
  • Master
2.01.420-b Introduction to IT-Security (Ü) Thursday: 14:00 - 16:00, weekly (from 24/10/24)
Description:
Exercises 2 Marvin Büchel
Prof. Dr. Andreas Peter
  • Bachelor
  • Master of Education
  • Master
2.01.5408b Applied Deep Learning in PyTorch (Ü) Friday: 10:00 - 12:00, weekly (from 18/10/24)
Description:
Exercises - Zahra Mansour
Prof. Dr. Nils Strodthoff
Juan Lopez Alcaraz
  • Master
2.02.852 Econometrics of Policy Evaluation Tuesday: 12:00 - 16:00, weekly (from 15/10/24), Location: A05 0-054
Dates on Thursday, 14.11.2024 14:00 - 16:00, Friday, 22.11.2024 10:00 - 12:00, Thursday, 12.12.2024 14:00 - 16:00, Location: A10 1-121 (Hörsaal F), A01 0-010 a, A01 0-008
Description:
Lecture - Prof. Dr. Cristian Huse
  • Master
2.02.603 Kolloquium: Abschlussarbeiten The course times are not decided yet.
Description:
Colloquium - Dr.Jur. Victoria Chege, LL.M.Eur.
  • Bachelor
  • Master
2.01.368 Microrobotics Selected Topics Tuesday: 16:00 - 18:00, weekly (from 15/10/24)
Description:
This seminar is an addition to the main lecture series “2.01.208 Mikrorobotik und Mikrosystemtechnik” Topics - Swimming MR - Flying MR - MR for surface locomotion - Gecko MR - Soft MR - On-chip MR - In-vivo MR - Bacteria- and Cell-MR - MR Swarms - Molecular MR This seminar is an addition to the main lecture series “2.01.208 Mikrorobotik und Mikrosystemtechnik” Topics - Swimming MR - Flying MR - MR for surface locomotion - Gecko MR - Soft MR - On-chip MR - In-vivo MR - Bacteria- and Cell-MR - MR Swarms - Molecular MR 		Seminar 2 Prof. Dr. Sergej Fatikow
  • Master
2.02.961 Advanced Corporate Finance Monday: 08:30 - 10:00, weekly (from 14/10/24)
Description:
Lecture - Prof. Dr. Jörg Prokop
  • Master of Education
  • Master
2.02.962 Advanced Corporate Finance Tuesday: 12:00 - 14:00, weekly (from 15/10/24)
Description:
Exercises - Prof. Dr. Jörg Prokop
  • Master of Education
  • Master
2.02.854 Spatial Econometrics (Exercise) Wednesday: 14:00 - 16:00, weekly (from 16/10/24)
Description:
Exercises - Prof. Dr. Erkan Gören
  • Bachelor
  • Master
2.01.5110 Practical Course (Energy Informatics) Wednesday: 14:00 - 16:00, weekly (from 16/10/24)
Wednesday: 16:00 - 18:00, weekly (from 16/10/24)
Description:
Practical training 4 Prof. Dr.-Ing. habil. Andreas Rauh
Prof. Dr. Sebastian Lehnhoff
Prof. Dr. Astrid Nieße
Jörg Bremer
Jens Sager
Anand Narayan
Marit Lahme
  • Master
2.03.081 Comparative Constitutional Law Friday: 14:00 - 16:00, weekly (from 18/10/24)
Description:
Lecture - Gerhard Hoogers
Alexander Grafe, M.A.
  • Bachelor
2.13.068 Marine Spatial Planning Tuesday: 10:00 - 12:00, weekly (from 15/10/24), Location: V03 0-M018, V03 0-C003
Description:
The lectures "Marine Spatial Planning" and the seminar "Integrated Coastal Zone Management" build a module called "Planning and Management of Coastal Zones and Sea Basins". Interested students have to enroll in both classes. The class is limited to 23 participants. Important! Please be aware that Water and Coastal Management students have priority for the module. Remaining places for participants will be chosen by drawing lots. The lectures "Marine Spatial Planning" and the seminar "Integrated Coastal Zone Management" build a module called "Planning and Management of Coastal Zones and Sea Basins". Interested students have to enroll in both classes. The class is limited to 23 participants. Important! Please be aware that Water and Coastal Management students have priority for the module. Remaining places for participants will be chosen by drawing lots. 		Lecture 2 Malena Ripken
  • 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
2.02.121 Managerial Accounting Tuesday: 10:00 - 12:00, weekly (from 15/10/24), Location: A14 1-101 (Hörsaal 1), (online)
Dates on Tuesday, 11.02.2025 08:00 - 10:00, Friday, 28.03.2025 08:00 - 09:15, Location: V03 0-D002, A07 0-030 (Hörsaal G), A11 1-101 (Hörsaal B) (+3 more)
Description:
Lecture - Prof. Dr. Christoph Sextroh
Melvin Tammen
  • Bachelor
  • Master
2.02.391 Energy Economics Tuesday: 10:00 - 12:00, weekly (from 15/10/24), Location: V04 0-033
Thursday: 18:00 - 20:00, weekly (from 17/10/24), Location: V04 0-033, V03 0-C002
Dates on Friday, 07.02.2025 10:00 - 12:00, Wednesday, 26.03.2025 08:00 - 10:00, Location: A11 1-101 (Hörsaal B), A10 1-121 (Hörsaal F)
Description:
Lecture - Prof. Dr. Emmanuel Asane-Otoo
  • Bachelor
  • Master
2.01.535 Evolution Strategies Dates on Monday, 17.02.2025 - Friday, 21.02.2025, Monday, 24.02.2025 - Tuesday, 25.02.2025 08:00 - 18:00
Description:
The lecture on "Evolution Strategies" offers an in-depth exploration of optimization techniques that are pivotal in solving complex problems. It begins by introducing basic optimization concepts, setting the stage for more advanced strategies. The lecture delves into the (1+1)-ES, a simple evolution strategy that evolves solutions using one parent and one offspring per generation, illustrating the foundational mechanism of this approach. It further discusses the 1/5 success rule, a method for adapting the step size based on a target success rate, which helps maintain efficient progress. The concept of restarts is explored, emphasizing strategies to escape local optima and improve solution diversity. More complex is the (μ+λ)-ES, which involves multiple parents and offspring, enhancing the robustness and convergence rate of the strategy. Self-adaptation is highlighted as a crucial feature, allowing the algorithm to dynamically adjust its parameters to better suit the problem landscape. The lecture also covers the adaptation of the covariance matrix, a sophisticated technique that helps the algorithm learn and adapt to the shape of the optimization landscape. Experimental results are presented to showcase the practical applications and effectiveness of these strategies. Finally, benchmark functions described in the appendix serve as a standard for evaluating and comparing the performance of evolution strategies. In practical exercises, participants are introduced to Python and all algorithms are programmed to facilitate hands-on learning and application. The course is worth 6 ECTS. The lecture on "Evolution Strategies" offers an in-depth exploration of optimization techniques that are pivotal in solving complex problems. It begins by introducing basic optimization concepts, setting the stage for more advanced strategies. The lecture delves into the (1+1)-ES, a simple evolution strategy that evolves solutions using one parent and one offspring per generation, illustrating the foundational mechanism of this approach. It further discusses the 1/5 success rule, a method for adapting the step size based on a target success rate, which helps maintain efficient progress. The concept of restarts is explored, emphasizing strategies to escape local optima and improve solution diversity. More complex is the (μ+λ)-ES, which involves multiple parents and offspring, enhancing the robustness and convergence rate of the strategy. Self-adaptation is highlighted as a crucial feature, allowing the algorithm to dynamically adjust its parameters to better suit the problem landscape. The lecture also covers the adaptation of the covariance matrix, a sophisticated technique that helps the algorithm learn and adapt to the shape of the optimization landscape. Experimental results are presented to showcase the practical applications and effectiveness of these strategies. Finally, benchmark functions described in the appendix serve as a standard for evaluating and comparing the performance of evolution strategies. In practical exercises, participants are introduced to Python and all algorithms are programmed to facilitate hands-on learning and application. The course is worth 6 ECTS. 		Lecture - Jill Baumann
Prof. Dr. Oliver Kramer
  • Master
2.13.021 Integrated Coastal Zone Management Tuesday: 08:00 - 10:00, weekly (from 15/10/24), Location: V03 0-M018, V03 0-C003
Description:
The seminar Integrated Coastal Zone Management and the lecture Marine Spatial Planning build the module Planning and Management of Coastal Zones and Sea Basins. Interested students have to enroll in both classes. The class is limited to 23 participants. Important! Please be aware that Water and Coastal Management students have priority for the module. Remaining places for participants will be chosen by drawing lots. The seminar Integrated Coastal Zone Management and the lecture Marine Spatial Planning build the module Planning and Management of Coastal Zones and Sea Basins. Interested students have to enroll in both classes. The class is limited to 23 participants. Important! Please be aware that Water and Coastal Management students have priority for the module. Remaining places for participants will be chosen by drawing lots. 		Seminar - Malena Ripken
  • Master
2.03.140 Internationale Rechtspraxis Thursday: 16:00 - 20:00, fortnightly (from 17/10/24)
Description:
Seminar - Dr. jur. Jörg-Alexander Cordes, LL.M.
Dr. jur. Lars Figura
  • Bachelor
2.01.AM-2 Oberseminar Applied Artificial Intelligence Tuesday: 08:00 - 10:00, weekly (from 15/10/24)
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
Prof. Dr. Daniel Sonntag
Hannes Kath
  • Bachelor
  • Master of Education
  • Master
2.01.814-A 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
2.08.223 International and EU Economic Law Thursday: 18:00 - 20:00, weekly (from 17/10/24)
Description:
Tutorium zum Modul wir 520 International and EU, Economic Law Tutorium zum Modul wir 520 International and EU, Economic Law 		Exercises - Dr. jur. Jörg-Alexander Cordes, LL.M.
  • Bachelor
  • Master
2.01.341 Robust Control and State Estimation in Digitalised Energy Systems Monday: 08:00 - 10:00, weekly (from 14/10/24)
Tuesday: 16:00 - 18:00, weekly (from 15/10/24)
Tuesday: 18:00 - 20:00, weekly (from 22/10/24)
Description:
Lecture 6 Prof. Dr.-Ing. habil. Andreas Rauh
Marit Lahme
Dr.-Ing. Friederike Bruns
  • Master
2.02.715 Lecture: Forecasting Methods Tuesday: 16:00 - 18:00, weekly (from 15/10/24)
Description:
Lecture - PD Dr. Ralf Werner Stecking
Abigail Opokua Asare
  • Master
2.01.5460 Applied AI - Multimodal-Multisensor Interfaces 3: Language Processing, Software, Commercialization, and Emerging Directions The course times are not decided yet.
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
Ilira Hiller
Hannes Kath
Prof. Dr. Daniel Sonntag
  • Master
2.02.896 Advanced Research Topics in Sustainable Supply Chain Management Tuesday: 10:00 - 14:00, weekly (from 15/10/24)
Description:
Over the past two decades, sustainable supply chain management (SSCM) has established itself as a distinct research domain. While research in this area has gained traction, real-world supply chain unsustainability calls for further investigation. With this goal in mind, this master-level module is designed to sensitize students/aspiring scholars to the research opportunities in this field. The module aims to inspire fresh research ideas that can not only expand our understanding of SSCM but also help students get closer to the world of research. Students can choose emerging or under-researched yet practically and theoretically important topics from various themes, such as sustainable operations, sustainable logistics, closed-loop supply chain management, supply chain sustainability risks, supplier management for sustainability, supply chain dilemmas, or another relevant research theme. The objective of this module is to help students expand their knowledge in SSCM by exploring research topics in depth, potentially leading to implementable master theses. From a broader perspective, the module familiarizes students with what constitutes meaningful scientific research by acquainting them with how to identify research gaps, how to problematize existing research, common research methods, and what constitutes a scientific contribution. Over the past two decades, sustainable supply chain management (SSCM) has established itself as a distinct research domain. While research in this area has gained traction, real-world supply chain unsustainability calls for further investigation. With this goal in mind, this master-level module is designed to sensitize students/aspiring scholars to the research opportunities in this field. The module aims to inspire fresh research ideas that can not only expand our understanding of SSCM but also help students get closer to the world of research. Students can choose emerging or under-researched yet practically and theoretically important topics from various themes, such as sustainable operations, sustainable logistics, closed-loop supply chain management, supply chain sustainability risks, supplier management for sustainability, supply chain dilemmas, or another relevant research theme. The objective of this module is to help students expand their knowledge in SSCM by exploring research topics in depth, potentially leading to implementable master theses. From a broader perspective, the module familiarizes students with what constitutes meaningful scientific research by acquainting them with how to identify research gaps, how to problematize existing research, common research methods, and what constitutes a scientific contribution. 		Seminar - Dr. Satwant Dahiya
  • Master
2.02.857 Industrial Organization Tuesday: 16:00 - 20:00, weekly (from 15/10/24), Location: A05 0-054
Dates on Thursday, 28.11.2024 12:00 - 14:00, Thursday, 12.12.2024 10:00 - 12:00, Location: A03 4-402, A04 4-407
Description:
Lecture - Prof. Dr. Cristian Huse
  • Master
2.02.716 Exercise: Forecasting Methods Thursday: 12:00 - 14:00, weekly (from 17/10/24)
Description:
Exercises - Abigail Opokua Asare
  • Master
2.01.490 Logical Methods in AI Verification The course times are not decided yet.
Description:
Seminar - Prof. Dr. Heike Wehrheim
  • Master
2.01.963 Fundamentals of Psychology: Cognition Friday: 12:00 - 14:00, weekly (from 06/12/24), Location: A07 0-031
Dates on Friday, 29.11.2024 12:00 - 18:00, Friday, 31.01.2025 12:00 - 16:00, Location: A14 1-114, V03 0-M018
Description:
Exercises 2 Prof. Dr.-Ing. habil. Christoph Siegfried Herrmann, Dipl.-Ing.
Dr. Seonghun Park
  • Master
2.01.5130 Socio-technical Energy Systems Wednesday: 10:00 - 12:00, weekly (from 16/10/24)
Description:
Seminar 2 Prof. Dr. Sebastian Lehnhoff
Jörg Bremer
  • Master
2.02.918 Environmental Impact Assessment Using Life Cycle Analysis Tuesday: 14:00 - 16:00, weekly (from 15/10/24)
Description:
This practical course introduces students to the principles and framework for Life Cycle Assessment (LCA) as guided by the ISO 14040 standard and teaches how to conduct 'dummy' LCAs per ISO 14044 standard's requirements. By being involved in fieldwork and using openly available LCA software and datasets, students will perform dummy LCAs for chosen products and investigate their environmental impacts. By doing so, students apply and solidify their theoretical and practical knowledge about sustainability analytics. They learn the basics of life cycle inventory collection, impact assessment methodologies, hot spot analysis, eco-designing, and eco-optimization basics. Besides, students also learn to write official LCA reports. This practical course introduces students to the principles and framework for Life Cycle Assessment (LCA) as guided by the ISO 14040 standard and teaches how to conduct 'dummy' LCAs per ISO 14044 standard's requirements. By being involved in fieldwork and using openly available LCA software and datasets, students will perform dummy LCAs for chosen products and investigate their environmental impacts. By doing so, students apply and solidify their theoretical and practical knowledge about sustainability analytics. They learn the basics of life cycle inventory collection, impact assessment methodologies, hot spot analysis, eco-designing, and eco-optimization basics. Besides, students also learn to write official LCA reports. 		Seminar - Dr. Satwant Dahiya
  • Master
2.02.869b Applied Economics - Exercise B Thursday: 10:00 - 12:00, weekly (from 17/10/24)
Description:
Exercises - Abigail Opokua Asare
  • Master
2.01.180 Smart Data Interoperability Tuesday: 10:00 - 12:00, weekly (from 15/10/24)
Description:
Seminar 2 Florian Schmalriede
Prof. Dr. Andreas Winter
Dr. rer. nat. Christian Schönberg
  • Master
2.13.044 Wadden Sea 2050: Nature Conservation and Social-Ecological Transformation Tuesday: 14:00 - 16:00, weekly (from 15/10/24), Location: A14 1-115
Friday: 10:00 - 16:00, weekly (from 17/01/25), Location: V03 0-C001
Description:
The Wadden Sea is recognised internationally as an exemplar of transboundary cooperation in nature conservation. The World Heritage Site designation has been awarded to the Wadden Sea in recognition of its outstanding universal values. These unique qualities make the Wadden Sea stand out on a global scale and occupy a special place in the hearts and minds of countless visitors and residents.Yet, the outstanding universal values continue to be at risk due to the impacts of human activities on land and at sea. The Wadden Sea is flanked by a coastline that has been massively transformed through coastal defence, land drainage and reclamation, industrial agriculture, harbour activity and mass tourism. On the seaside, the Wadden Sea transitions seamlessly into the North Sea, one of the most intensively used and heavily impacted sea spaces in the world. In order to safeguard the integrity of the Wadden Sea and secure good environmental status for the North Sea as a whole, we will, of necessity, see increased emphasis on nature restoration in the coming years and decades. In this seminar, we will examine how the conservation of the Wadden Sea ecosystem can be supported and complemented by the social-ecological transformation of the wider coastal region. In the first half of the seminar, participating students will progress their understanding of current practices in both nature conservation and coastal protection at the Wadden Sea coast. In the second half of the seminar, participating students will work in groups to develop a joint future vision and strategy for the Wadden Sea and its coastal hinterland. The Wadden Sea is recognised internationally as an exemplar of transboundary cooperation in nature conservation. The World Heritage Site designation has been awarded to the Wadden Sea in recognition of its outstanding universal values. These unique qualities make the Wadden Sea stand out on a global scale and occupy a special place in the hearts and minds of countless visitors and residents.Yet, the outstanding universal values continue to be at risk due to the impacts of human activities on land and at sea. The Wadden Sea is flanked by a coastline that has been massively transformed through coastal defence, land drainage and reclamation, industrial agriculture, harbour activity and mass tourism. On the seaside, the Wadden Sea transitions seamlessly into the North Sea, one of the most intensively used and heavily impacted sea spaces in the world. In order to safeguard the integrity of the Wadden Sea and secure good environmental status for the North Sea as a whole, we will, of necessity, see increased emphasis on nature restoration in the coming years and decades. In this seminar, we will examine how the conservation of the Wadden Sea ecosystem can be supported and complemented by the social-ecological transformation of the wider coastal region. In the first half of the seminar, participating students will progress their understanding of current practices in both nature conservation and coastal protection at the Wadden Sea coast. In the second half of the seminar, participating students will work in groups to develop a joint future vision and strategy for the Wadden Sea and its coastal hinterland. 		Seminar - Dr. Cormac Walsh
  • Master
2.12.093 Übung zu Economics of Climate Change Tuesday: 10:00 - 12:00, weekly (from 15/10/24)
Description:
Seminar - Laura Schürer
  • Master
2.02.021 Perspectives and Instruments of Corporate Sustainability - Lecture Thursday: 12:00 - 14:00, weekly (from 17/10/24), Location: V04 0-033, V03 0-C002
Description:
Please note that the assessment takes place in the seminar (Nr. 2.02.022) and the maximum capacity is limited to 60 students. Please note that the assessment takes place in the seminar (Nr. 2.02.022) and the maximum capacity is limited to 60 students. 		Lecture - Prof. Dr. Bernd Siebenhüner
Sophie Berg
Dr. Hendrik Wolter
  • Master
2.02.909 Contemporary Issues in Development: A Global South Perspective Dates on Thursday, 07.11.2024, Thursday, 21.11.2024, Thursday, 05.12.2024, Thursday, 19.12.2024, Thursday, 09.01.2025, Thursday, 23.01.2025 12:00 - 16:00, Location: A14 1-115, V03 0-D003
Description:
This course will be a series of seminars dealing with contemporary development issues from a so-called global south perspective. The seminars will be delivered in English and are designed to be interactive. Students participating in the seminars will have an opportunity to dive into some contemporary development issues through a global south lense. This course will be a series of seminars dealing with contemporary development issues from a so-called global south perspective. The seminars will be delivered in English and are designed to be interactive. Students participating in the seminars will have an opportunity to dive into some contemporary development issues through a global south lense. 		Seminar - Dr. Hendrik Wolter
Dr. Danai Tembo
  • Master
2.01.814 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 - Valentin Reyes Häusler
Prof. Dr. Andreas Peter
  • Master
10.28.111 Rechtsvergleichung Wednesday: 08:00 - 10:00, weekly (from 16/10/24)
Description:
Lecture 2 Angeline Asangire Oprong
  • Bachelor
2.02.681b Übung: 2.02.681b Advanced Microeconomics UE2 Wednesday: 14:00 - 16:00, weekly (from 23/10/24)
Description:
Exercises - Daniel Rüb
Laura Schürer
  • Master
80 Seminars

Top