Stud.IP Uni Oldenburg
University of Oldenburg
01.04.2023 16:24:02
Veranstaltungsverzeichnis

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

Summer semester 2023 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
2.01.300 Hybride Systeme Tuesday: 14:15 - 15:45, weekly (from 11/04/23), Location: V03 0-M017
Friday: 08:15 - 09:45, weekly (from 14/04/23), Location: V04 1-146

Description:
Eingebettete Computersysteme stehen in ständiger Interaktion mit ihrer Umgebung, welche oftmals zustands- und zeitkontinuierliche Komponenten enthält. Damit entstehen komplexe Interaktionen zwischen diskreten Berechnungs- und Entscheidungsvorgängen einerseits und kontinuierlichen Prozessen andererseits, welche weder mit den Mitteln der kontinuierlichen noch mit den Mitteln der diskreten Mathematik analysierbar sind. Insofern wird für die Analyse dieser technisch wichtigen Klasse computerbasierter Systeme eine eigenständige Theorie wie auch Entwurfsmethodik benötigt, in die diese VL einführen möchte: Die Theorie der hybrid diskret-kontinuierlichen Systeme. Die vorlesungsbegleitende Bearbeitung eines Semesterprojekts mit aktuellen Entwurfs- und Verifikationswerkzeugen dient der Vertiefung des Vorlesungsstoffs. Eingebettete Computersysteme stehen in ständiger Interaktion mit ihrer Umgebung, welche oftmals zustands- und zeitkontinuierliche Komponenten enthält. Damit entstehen komplexe Interaktionen zwischen diskreten Berechnungs- und Entscheidungsvorgängen einerseits und kontinuierlichen Prozessen andererseits, welche weder mit den Mitteln der kontinuierlichen noch mit den Mitteln der diskreten Mathematik analysierbar sind. Insofern wird für die Analyse dieser technisch wichtigen Klasse computerbasierter Systeme eine eigenständige Theorie wie auch Entwurfsmethodik benötigt, in die diese VL einführen möchte: Die Theorie der hybrid diskret-kontinuierlichen Systeme. Die vorlesungsbegleitende Bearbeitung eines Semesterprojekts mit aktuellen Entwurfs- und Verifikationswerkzeugen dient der Vertiefung des Vorlesungsstoffs.
Lecture 4 Janis Kröger, M. Sc.
Prof. Dr. Martin Georg Fränzle
Paul Kröger
  • Master
2.02.383 Economic Growth Tuesday: 10:15 - 11:45, weekly (from 11/04/23)

Description:
Lecture - Prof. Dr. Jürgen Bitzer
  • Bachelor
2.02.855a Applied Industrial Organization Tuesday: 16:15 - 19:45, weekly (from 18/04/23), Location: W16A 015/016
Dates on Friday, 16.06.2023, Tuesday, 18.07.2023, Thursday, 20.07.2023, Monday, 24.07.2023 10:15 - 17:45, Tuesday, 15.08.2023 10:00 - 12:00, Location: V03 0-C001, A05 0-056

Description:
VL und Seminare sind kombiniert VL und Seminare sind kombiniert
Lecture - Prof. Dr. Cristian Huse
  • Bachelor
2.02.228 Exercise: Complex Data Analysis Tuesday: 12:15 - 13:45, weekly (from 11/04/23)

Description:
Exercises - PD Dr. Ralf Werner Stecking
  • Master
2.13.050 IVS - International Virtual Seminar Thursday: 16:45 - 17:45, fortnightly (from 13/04/23)

Description:
The "International Virtual Seminar - Water and Climate" (IVS-WaC) is a digital-collaborative Master´s module jointly thought by 6 university partners from Denmark, Germany, Greece, Portugal, Romania and The Netherlands. You will profit from the specific topical expertise of the lecturers from the partner universities as well as invited experts. Topical foundation and stimulus and insights in current management practices will be provided in virtual talks, discussions and case study topics. The "International Virtual Seminar - Water and Climate" (IVS-WaC) is a digital-collaborative Master´s module jointly thought by 6 university partners from Denmark, Germany, Greece, Portugal, Romania and The Netherlands. You will profit from the specific topical expertise of the lecturers from the partner universities as well as invited experts. Topical foundation and stimulus and insights in current management practices will be provided in virtual talks, discussions and case study topics.
Lecture - Malena Ripken, M. Sc.
Dr. rer. nat. Tanja Behrendt
  • Master
2.02.365 Applied Environmental Economics Tuesday: 16:15 - 19:45, weekly (from 11/04/23)

Description:
Lecture - Mirlind Mustafa
Prof. Dr. Cristian Huse
  • Master
2.02.993 Financial Risk Management Wednesday: 08:15 - 09:45, weekly (from 12/04/23)

Description:
Lecture - Prof. Dr. Jörg Prokop
Dr. Christoph Lippert
  • Master
2.03.021 European and Comparative Contract Law Dates on Tuesday, 11.04.2023, Tuesday, 18.04.2023, Tuesday, 25.04.2023, Tuesday, 23.05.2023, Tuesday, 30.05.2023, Tuesday, 06.06.2023 14:15 - 17:45, Location: W16A 004, V03 0-C003, V03 0-C001
Description:
Veranstaltung für Studierende der BPO 2013 & BPO 2019. Veranstaltung für Studierende der BPO 2013 & BPO 2019.
Lecture - Prof. Dr. Matthias Wendland
  • Bachelor
2.03.018 Judicial Protection and fundamental Freedoms in the EU Tuesday: 12:15 - 13:45, weekly (from 11/04/23), Location: V03 0-D003, V03 0-D001, V03 0-C003

Description:
2. Semester Hanse Law School BA 2. Semester Hanse Law School BA
Lecture - Dr.Jur. Victoria Chege, LL.M.Eur.
  • Bachelor
2.13.011 Case Study II Monday: 10:15 - 11:45, weekly (from 17/04/23)

Description:
Seminar 2 Malena Ripken, M. Sc.
Prof. Dr. Ingo Mose
  • Master
2.01.585 Smart Grid Research Wednesday: 14:15 - 15:45, weekly (from 12/04/23)

Description:
Die Oldenburger Energieinformatik (an der Uni und am OFFIS) ist einer der international größten und bekanntesten Forschungsgruppen, die im Bereich der Digitalisierung des Energiesystems arbeiten und damit die Energiewende vorantreiben. In dieser Veranstaltung präsentieren und diskutieren wir aktuelle Forschungsbereiche und -richtungen in dieser Forschungsdomäne. Wir werden in jeder Vorlesung tief in laufende Forschungsprojekte (z. B. Transfer-orientierte Smart Grid Projekte mit globalen Industriepartnern) eintauchen und bieten damit neue Erkenntnisse und mögliche Karriereperspektiven für Master-Absolvent:innen in diesem spannenden und hochaktuellen Tätigkeitsbereich. Hinweis: Diese Veranstaltung kann auch ohne Modulprüfung belegt werden und wird aktuell hybrid stattfinden. Jede:r Interessiert:e ist herzlich willkommen! -------------------------------------------------- The Oldenburg Energy Informatics Group (at the University and OFFIS) is one of the internationally largest and best-known research groups working on digitalization in the energy sector and driving the energy transition. In this lecture, we will present and discuss active research areas and directions in this domain. In each session, we will deep-dive into an ongoing research project (e.g. transfer-oriented smart grid projects with global industry partners) and offer insights as well as career perspectives for graduates in this exciting and timely field of practice. Note: This course can also be taken without a module exam. We are currently planning this module as a hybrid meeting. Everybody who is interested is welcome! Die Oldenburger Energieinformatik (an der Uni und am OFFIS) ist einer der international größten und bekanntesten Forschungsgruppen, die im Bereich der Digitalisierung des Energiesystems arbeiten und damit die Energiewende vorantreiben. In dieser Veranstaltung präsentieren und diskutieren wir aktuelle Forschungsbereiche und -richtungen in dieser Forschungsdomäne. Wir werden in jeder Vorlesung tief in laufende Forschungsprojekte (z. B. Transfer-orientierte Smart Grid Projekte mit globalen Industriepartnern) eintauchen und bieten damit neue Erkenntnisse und mögliche Karriereperspektiven für Master-Absolvent:innen in diesem spannenden und hochaktuellen Tätigkeitsbereich. Hinweis: Diese Veranstaltung kann auch ohne Modulprüfung belegt werden und wird aktuell hybrid stattfinden. Jede:r Interessiert:e ist herzlich willkommen! -------------------------------------------------- The Oldenburg Energy Informatics Group (at the University and OFFIS) is one of the internationally largest and best-known research groups working on digitalization in the energy sector and driving the energy transition. In this lecture, we will present and discuss active research areas and directions in this domain. In each session, we will deep-dive into an ongoing research project (e.g. transfer-oriented smart grid projects with global industry partners) and offer insights as well as career perspectives for graduates in this exciting and timely field of practice. Note: This course can also be taken without a module exam. We are currently planning this module as a hybrid meeting. Everybody who is interested is welcome!
Lecture 4 Prof. Dr. Sebastian Lehnhoff
Prof. Dr. Astrid Nieße
M. Sc. Frauke Oest
Dr. Jörg Bremer
Julia Köhlke
  • Master
2.01.100 Human-Computer Interaction Wednesday: 10:15 - 11:45, weekly (from 12/04/23)
Friday: 10:15 - 11:45, weekly (from 14/04/23)

Description:
Lecture 4 M. Sc. Tobias Lunte
Dr. Gözel Shakeri
Prof. Dr. techn. Susanne Boll-Westermann
M. Sc. Mikolaj Wozniak
  • Master
2.02.994 Financial Risk Management Monday: 08:15 - 09:45, weekly (from 17/04/23)

Description:
Exercises 2 Prof. Dr. Jörg Prokop
Dandan Wang
  • Master
2.01.175 Makers' Lab - "Things that Think" Thursday: 10:15 - 11:45, weekly (from 13/04/23)
Thursday: 12:15 - 13:45, weekly (from 13/04/23)

Description:
Designing interactive user interfaces with hardware and electronics This course aims to provide a sample of some of the most recent and significant advances in this exciting area. Topics may include: situational awareness, designing for attention, ambient/peripheral interaction, computer support cooperative work and social computing (CSCW), ubiquitous and context-aware computing, haptic and gestural interaction, audio interaction, gaze-based interaction, biometric interfaces, and embedded, physical and tangible computing, mobile and wearable interfaces. This course is explicitly not focused on the methods used in HCI practice (i.e., user-centered design cycle), but rather focuses on (recent) research. Designing interactive user interfaces with hardware and electronics This course aims to provide a sample of some of the most recent and significant advances in this exciting area. Topics may include: situational awareness, designing for attention, ambient/peripheral interaction, computer support cooperative work and social computing (CSCW), ubiquitous and context-aware computing, haptic and gestural interaction, audio interaction, gaze-based interaction, biometric interfaces, and embedded, physical and tangible computing, mobile and wearable interfaces. This course is explicitly not focused on the methods used in HCI practice (i.e., user-centered design cycle), but rather focuses on (recent) research.
Project 4 M. Sc. Mikolaj Wozniak
Dr.-Ing. Heiko Müller
Dr. Gözel Shakeri
Prof. Dr. techn. Susanne Boll-Westermann
  • Master
2.02.855b Applied Industrial Organization Tuesday: 16:15 - 19:45, weekly (from 18/04/23)
Dates on Friday, 16.06.2023 10:15 - 17:45, Tuesday, 18.07.2023, Thursday, 20.07.2023, Monday, 24.07.2023 10:45 - 17:45, Tuesday, 15.08.2023 10:00 - 12:00

Description:
VL und Seminare sind kombiniert VL und Seminare sind kombiniert
Seminar - Prof. Dr. Cristian Huse
  • Bachelor
2.02.861 Development Economics Monday: 10:15 - 11:45, weekly (from 17/04/23)

Description:
Lecture - Prof. Dr. Jürgen Bitzer
Prof. Dr. Erkan Gören
  • Master
2.02.351 International Economics Dates on Tuesday, 25.04.2023 18:15 - 19:45, Friday, 07.07.2023, Thursday, 13.07.2023 09:15 - 17:45, Location: V03 0-D003, V03 0-D002
Description:
Voraussetzung ist, dass auch die dazugehörige Vorlesung (2.02.350) gehört wird. Beide Veranstaltungen sind in englischer Sprache. Im Seminar werden aktuelle Themen aus dem Bereich der Vorlesung in Form von Referaten behandelt. Voraussetzung ist, dass auch die dazugehörige Vorlesung (2.02.350) gehört wird. Beide Veranstaltungen sind in englischer Sprache. Im Seminar werden aktuelle Themen aus dem Bereich der Vorlesung in Form von Referaten behandelt.
Seminar - Prof. Dr. Hans-Michael Trautwein
Nils Vitu
  • Bachelor
2.02.918 Environmental Impact Assessment Using Life Cycle Analysis Thursday: 14:15 - 15:45, weekly (from 13/04/23)

Description:
Seminar 2 Satwant Dahiya
  • Master
2.02.915 Introduction to Social- ecological Resilience Dates on Monday, 08.05.2023, Monday, 05.06.2023, Monday, 26.06.2023, Monday, 03.07.2023 12:15 - 15:45, Monday, 10.07.2023 09:15 - 16:45, Location: V03 0-D003, V03 0-M018, V03 0-C003 (+1 more)
Description:
Seminar - Prof. Dr. Stefanie Sievers-Glotzbach
Dr. Hendrik Wolter
  • Master
2.01.481 Software Analysis Tuesday: 10:15 - 11:45, weekly (from 11/04/23)
Thursday: 10:15 - 11:45, weekly (from 13/04/23)

Description:
Software analyses extract facts about programs from source code. Such facts can be employed by compilers to optimize programs during compilation, but can also be used to verify correctness of programs. In this course, we will study different software analysis techniques, in particular various data-flow analyses and abstract interpretation. Software analyses extract facts about programs from source code. Such facts can be employed by compilers to optimize programs during compilation, but can also be used to verify correctness of programs. In this course, we will study different software analysis techniques, in particular various data-flow analyses and abstract interpretation.
Lecture 4 Prof. Dr. Heike Wehrheim
Jan Frederik Haltermann, M. Sc.
Nicola Anna Thoben
  • Master
2.02.822 Economic Transformation and Integration Dates on Tuesday, 18.04.2023 18:15 - 19:45, Thursday, 06.07.2023, Friday, 14.07.2023 09:15 - 17:45, Location: A01 0-006, S 2-206
Description:
Seminar - Prof. Dr. Hans-Michael Trautwein
Nils Vitu
  • Master
2.02.1161 Culture in China Thursday: 14:15 - 15:45, weekly (from 13/04/23)

Description:
Pflichtmodul Master WiRe "China-Schwerpunkt" Pflichtmodul Master WiRe "China-Schwerpunkt"
Lecture 2 Hongrui Wang
  • Master
2.01.378-B Practical multimodal-multisensor data analysis pipelines The course times are not decided yet.
Description:
Lecture - Prof. Dr.-Ing. Daniel Sonntag
Prof. Dr. Thiago Gouvea
  • Master
2.03.019 Übung Judicial Protection and fundamental Freedoms in the EU Tuesday: 14:15 - 15:45, weekly (from 11/04/23)

Description:
2. Semester Hanse Law School BA 2. Semester Hanse Law School BA
Exercises - Anne Klemeyer, LL.M.
  • Bachelor
2.02.752a Transnational Biodiversity and Genetic Resources Law I Thursday: 14:15 - 15:45, weekly (from 13/04/23)

Description:
Seminar 2 Evanson Chege Kamau
  • Master
2.02.833 Marine Law Monday: 14:15 - 15:45, weekly (from 17/04/23)

Description:
Seminar - Angeline Asangire Oprong
  • Master
2.02.1211 Topics in Economic Research: History of Economic Thought Wednesday: 14:15 - 15:45, weekly (from 12/04/23)

Description:
Lecture - Prof. Dr. Hans-Michael Trautwein
  • Master
2.01.493 Cryptography Monday: 16:15 - 17:45, weekly (from 17/04/23), Location: A04 2-221
Thursday: 16:15 - 17:45, weekly (from 13/04/23), Location: A01 0-010 a

Description:
PREREQUISITE: Please note that this course assumes that the students have had some introductory exposure to the topic of IT security, as for instance covered in the UOL's course "Introduction to IT-Security" by the same teacher who also gives the crypto course at hand. The course provides a rigorous treatment of the basic paradigms and principles of modern cryptography. It puts an emphasis on formal definitions of security, precise assumptions, and rigorous proofs of security in well-defined models. Concretely, the course deals with the formal and rigorous treatment of the following concepts and primitives: - Private-Key Encryption: - Definition of secure encryption and the concept of provable security - Pseudorandom number generators - Constructing secure encryption schemes based on pseudorandomness - Security under Chosen-Plaintext Attacks (CPA) - Pseudorandom functions and the construction of CPA-secure encryption - Pseudorandom permutations and block ciphers - Security against Chosen-Ciphertext Attacks (CCA) - Message Authentication Codes (MACs) and hash functions - Cryptographic assumptions - Key management - Public-key cryptography - Recap on RSA - Attacks on RSA and mitigations - The KEM/DEM paradigm - Homomorphic Encryption (particularly Paillier) - Secret Sharing and Threshold Encryption - Advanced topics (varying per semester), e.g.: - Secure Multiparty Computation - Post-Quantum Cryptography - Zero-Knowledge Proofs - Fully Homomorphic Encryption While some of the above topics are typically covered on a very high level in an introductory course on IT security, it should be stressed that this course on cryptography differs substantially by a much more in-depth treatment of the topics with a focus on formal definitions, precise assumptions, and rigorous proofs. PREREQUISITE: Please note that this course assumes that the students have had some introductory exposure to the topic of IT security, as for instance covered in the UOL's course "Introduction to IT-Security" by the same teacher who also gives the crypto course at hand. The course provides a rigorous treatment of the basic paradigms and principles of modern cryptography. It puts an emphasis on formal definitions of security, precise assumptions, and rigorous proofs of security in well-defined models. Concretely, the course deals with the formal and rigorous treatment of the following concepts and primitives: - Private-Key Encryption: - Definition of secure encryption and the concept of provable security - Pseudorandom number generators - Constructing secure encryption schemes based on pseudorandomness - Security under Chosen-Plaintext Attacks (CPA) - Pseudorandom functions and the construction of CPA-secure encryption - Pseudorandom permutations and block ciphers - Security against Chosen-Ciphertext Attacks (CCA) - Message Authentication Codes (MACs) and hash functions - Cryptographic assumptions - Key management - Public-key cryptography - Recap on RSA - Attacks on RSA and mitigations - The KEM/DEM paradigm - Homomorphic Encryption (particularly Paillier) - Secret Sharing and Threshold Encryption - Advanced topics (varying per semester), e.g.: - Secure Multiparty Computation - Post-Quantum Cryptography - Zero-Knowledge Proofs - Fully Homomorphic Encryption While some of the above topics are typically covered on a very high level in an introductory course on IT security, it should be stressed that this course on cryptography differs substantially by a much more in-depth treatment of the topics with a focus on formal definitions, precise assumptions, and rigorous proofs.
Lecture 4 Valentin Reyes Häusler
Prof. Dr. Andreas Peter
  • Master
2.01.334 System Level Design Monday: 12:15 - 13:45, weekly (from 17/04/23)
Monday: 14:15 - 15:45, weekly (from 17/04/23)

Description:
Lecture 4 M. Sc. Mahsa Moazez
Sven Niklas Mehlhop
Dr.-Ing. Jörg Walter
Dr. rer. nat. Kim Grüttner
Henning Schlender, M.Sc.
Friederike Bruns, M. Sc.
  • Master
2.02.232 Corporate Finance Tuesday: 08:15 - 09:45, weekly (from 11/04/23), Location: A07 0-030 (Hörsaal G)
Dates on Friday, 28.07.2023 14:30 - 15:30, Location: A11 1-101 (Hörsaal B), A14 1-101 (Hörsaal 1), A14 1-102 (Hörsaal 2) (+1 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 2 Prof. Dr. Jörg Prokop
  • Bachelor
  • Master of Education
  • Master
2.02.030 Energy Markets and Policy Tuesday: 10:15 - 11:45, weekly (from 11/04/23)
Thursday: 10:15 - 11:45, weekly (from 13/04/23)

Description:
This is a 6 ECTS lecture/seminar course designed to provide students with an introduction to the principles of energy economics and related policy applications. There are increasing concerns globally on the management of energy resources and their development, such as energy security, environmental impacts of energy use, regulation, investment in renewable energy, risk assessment or safety issues of nuclear power etc. Understanding the characteristics of the different energy markets in terms of demand, supply, investments, energy-economy-environment interactions, and related policy aspects is critical to effective policy intervention. This course covers the economic tools for analyzing institutions and driving forces of energy markets, including coal, natural gas, crude oil, gasoline/diesel, electricity, and renewables, with a focus on understanding supply and demand changes, prices, production, and investment as well as the motives and consequences of policy interventions. Students will be introduced to the environmental implications of energy use and the role of economic analysis in designing policies that address issues of energy security, climate change, and the distributive consequences of climate policies. Regarding the distributional impacts of climate policies, we will address theoretical concepts, including incidence or inequality and their measurement, and analyze the distributive effects of current climate policies. Throughout the course, theoretical discussions will be complemented with empirical evidence and research that explores different aspects of the energy markets to help students better understand the respective energy markets. Ancillary objectives of the course include supporting students to develop research topics and introducing them to academic writing. To this end, students will develop some expertise in working with real-world energy data and policies and writing a research paper. The course starts with a series of lectures on selected topics. The lecture sessions aim to facilitate the development of students’ understanding of the economic theory related to the various energy markets. Students will be guided to develop their research projects during the first half of the semester. The projects could be related to the distributive consequences of climate policies, inequality in adaptation to climate change, climate justice, market power and collusion in the retail fuel market, barriers to the adoption of renewable energy technologies, and challenges of renewables in the electricity market. Other topics include the impact of climate change on transportation systems, effects of overlapping energy and climate regulations, Russia-Ukraine war and energy poverty, Subjective Well-being and energy prices, Edgeworth cycles in the retail gasoline market, limits on domestic flights as emissions reduction strategy, the incidence and emissions impact of fuel tax in Germany, vertical vs. horizontal distributive effects of climate policies, incidence of climate policies – developed vs. developing countries etc. Note that students can choose topics listed or develop their own topics of interest. At the start of the second part of the course, students will present their tentative research projects and receive input from instructors. They will then use the remaining period to work on their research projects with the support of instructors. Towards the end of the semester, there will be a 2-day block seminar where students will present their work in a scientific conference format. This is a 6 ECTS lecture/seminar course designed to provide students with an introduction to the principles of energy economics and related policy applications. There are increasing concerns globally on the management of energy resources and their development, such as energy security, environmental impacts of energy use, regulation, investment in renewable energy, risk assessment or safety issues of nuclear power etc. Understanding the characteristics of the different energy markets in terms of demand, supply, investments, energy-economy-environment interactions, and related policy aspects is critical to effective policy intervention. This course covers the economic tools for analyzing institutions and driving forces of energy markets, including coal, natural gas, crude oil, gasoline/diesel, electricity, and renewables, with a focus on understanding supply and demand changes, prices, production, and investment as well as the motives and consequences of policy interventions. Students will be introduced to the environmental implications of energy use and the role of economic analysis in designing policies that address issues of energy security, climate change, and the distributive consequences of climate policies. Regarding the distributional impacts of climate policies, we will address theoretical concepts, including incidence or inequality and their measurement, and analyze the distributive effects of current climate policies. Throughout the course, theoretical discussions will be complemented with empirical evidence and research that explores different aspects of the energy markets to help students better understand the respective energy markets. Ancillary objectives of the course include supporting students to develop research topics and introducing them to academic writing. To this end, students will develop some expertise in working with real-world energy data and policies and writing a research paper. The course starts with a series of lectures on selected topics. The lecture sessions aim to facilitate the development of students’ understanding of the economic theory related to the various energy markets. Students will be guided to develop their research projects during the first half of the semester. The projects could be related to the distributive consequences of climate policies, inequality in adaptation to climate change, climate justice, market power and collusion in the retail fuel market, barriers to the adoption of renewable energy technologies, and challenges of renewables in the electricity market. Other topics include the impact of climate change on transportation systems, effects of overlapping energy and climate regulations, Russia-Ukraine war and energy poverty, Subjective Well-being and energy prices, Edgeworth cycles in the retail gasoline market, limits on domestic flights as emissions reduction strategy, the incidence and emissions impact of fuel tax in Germany, vertical vs. horizontal distributive effects of climate policies, incidence of climate policies – developed vs. developing countries etc. Note that students can choose topics listed or develop their own topics of interest. At the start of the second part of the course, students will present their tentative research projects and receive input from instructors. They will then use the remaining period to work on their research projects with the support of instructors. Towards the end of the semester, there will be a 2-day block seminar where students will present their work in a scientific conference format.
Lecture - Prof. Dr. Emmanuel Asane-Otoo
Laura Schürer
  • Master
2.01.813-A Advances in Security and Privacy Thursday: 10:15 - 11:45, weekly (from 13/04/23)

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 /// - Timely Password Breach Detection using ‘Honeywords’ - 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 and a first academic reference on each topic can be found here: https://cloud.uol.de/s/gpdkC8AxbkrFjMq /// 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 /// - Timely Password Breach Detection using ‘Honeywords’ - 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 and a first academic reference on each topic can be found here: https://cloud.uol.de/s/gpdkC8AxbkrFjMq
Seminar 2 Prof. Dr. Andreas Peter
  • Master
2.02.362 Umweltpolitik/Environmental Policy Dates on Tuesday, 18.04.2023, Tuesday, 02.05.2023 12:15 - 15:45, Saturday, 01.07.2023 08:15 - 17:45
Description:
Seminar - Mirlind Mustafa
Prof. Dr. Cristian Huse
  • Bachelor
  • Master
2.01.176 Sustainable Digital Future Monday: 14:15 - 17:45, weekly (from 17/04/23)

Description:
Digital technologies are rapidly re-shaping the way we interact with each other and the world, the way we conduct business, and how we govern our societies. The digital age presents powerful levers for the types of societal transformations needed to end poverty, reduce inequalities, and to tackle climate change. In this seminar series, we will look at how digitalisation can and must be geared towards a sustainable world. We will explore the relations between technology and society, with a focus on the ethical, political, and environmental dimensions of technology and how these, in turn, intersect with society. We will do so while considering the 17 Sustainable Development Goals (SDGs) identified by the UN, understanding "sustainability" as the three-pillar concept consisting of social, economic, and environmental aspects. Objectives The objectives of this seminar series are to: understand the complexity of the relations between technology and society discuss social, environmental, and ethical challenges in technology design and use discuss perspectives on the ethical responsibility of the information technology researcher/designer engage in critical and reflective discussions of new and emerging information technologies Digitalisation shapes the future of our communities and planet. We will explore this role critically and creatively, always considering the 17 SDGs. In this seminar, we will creatively and collaboratively engage in various hands-on workshops. Throughout the semester, the students will work on an essay which we will draw upon in each lecture to critically discuss the lecture topics. Digital technologies are rapidly re-shaping the way we interact with each other and the world, the way we conduct business, and how we govern our societies. The digital age presents powerful levers for the types of societal transformations needed to end poverty, reduce inequalities, and to tackle climate change. In this seminar series, we will look at how digitalisation can and must be geared towards a sustainable world. We will explore the relations between technology and society, with a focus on the ethical, political, and environmental dimensions of technology and how these, in turn, intersect with society. We will do so while considering the 17 Sustainable Development Goals (SDGs) identified by the UN, understanding "sustainability" as the three-pillar concept consisting of social, economic, and environmental aspects. Objectives The objectives of this seminar series are to: understand the complexity of the relations between technology and society discuss social, environmental, and ethical challenges in technology design and use discuss perspectives on the ethical responsibility of the information technology researcher/designer engage in critical and reflective discussions of new and emerging information technologies Digitalisation shapes the future of our communities and planet. We will explore this role critically and creatively, always considering the 17 SDGs. In this seminar, we will creatively and collaboratively engage in various hands-on workshops. Throughout the semester, the students will work on an essay which we will draw upon in each lecture to critically discuss the lecture topics.
Seminar 2 Dr. Gözel Shakeri
Prof. Dr. techn. Susanne Boll-Westermann
  • Master
2.02.227 Complex Data Analysis Wednesday: 10:15 - 11:45, weekly (from 12/04/23)

Description:
Lecture - PD Dr. Ralf Werner Stecking
  • Master
2.13.061 GIS for WCM II Tuesday: 14:15 - 15:45, weekly (from 11/04/23)

Description:
Seminar - Dr. rer. nat. Christian Aden
  • Master
2.02.384 Economic Growth The course times are not decided yet.
Description:
Seminar - Prof. Dr. Jürgen Bitzer
  • Bachelor
2.02.862 Development Economics The course times are not decided yet.
Description:
Seminar - Prof. Dr. Jürgen Bitzer
Prof. Dr. Erkan Gören
  • Master
2.12.042 Ecological Economics Dates on Monday, 17.04.2023 12:15 - 15:45, Monday, 24.04.2023 12:15 - 13:45, Monday, 15.05.2023, Monday, 22.05.2023 12:15 - 15:45, Monday, 12.06.2023 10:15 - 13:45, Monday, 19.06.2023 12:15 - 13:45, Location: V03 0-D001, V03 0-D003
Description:
Ecological Economics is concerned with integrating the study and management of "nature's household" (ecology) and "humankind's household" (economics). This integration is central to many of humanity’s current problems and to governing economic activity in a way that promotes human well-being, sustainability, and justice. Ecological Economics is concerned with integrating the study and management of "nature's household" (ecology) and "humankind's household" (economics). This integration is central to many of humanity’s current problems and to governing economic activity in a way that promotes human well-being, sustainability, and justice.
Seminar - Prof. Dr. Stefanie Sievers-Glotzbach
Dr. Hendrik Wolter
  • Master
2.02.647 MA-Kolloquium VWL/ Angewandte Mikroökonomik Tuesday: 12:15 - 13:45, weekly (from 11/04/23)

Description:
Colloquium - Prof. Dr. Cristian Huse
  • Master
2.01.803 Data Science I Tuesday: 16:15 - 17:45, weekly (from 11/04/23)
Wednesday: 16:15 - 17:45, weekly (from 12/04/23)

Description:
Data Science is an interdisciplinary science at the intersection of statistics, machine learning, data visualization, and mathematical modeling. This course is designed to provide a practical introduction to the field of Data Science by teaching theoretical principles while also applying them practically. Topics covered range from data collection and preparation (data sources & formats, data cleaning, data bias), mathematical foundations (statistical distributions, correlation analysis, significance) and methods for visualization (tables & plots, histograms, best practices) to the development of models for classifying or predicting values (linear regression, classification, clustering). Data Science is an interdisciplinary science at the intersection of statistics, machine learning, data visualization, and mathematical modeling. This course is designed to provide a practical introduction to the field of Data Science by teaching theoretical principles while also applying them practically. Topics covered range from data collection and preparation (data sources & formats, data cleaning, data bias), mathematical foundations (statistical distributions, correlation analysis, significance) and methods for visualization (tables & plots, histograms, best practices) to the development of models for classifying or predicting values (linear regression, classification, clustering).
Lecture 4 Prof. Dr. Wolfram Wingerath
  • Bachelor
  • Master of Education
2.02.856 Advanced Econometrics Tuesday: 08:15 - 11:45, weekly (from 11/04/23)

Description:
VL und Seminare sind kombiniert VL und Seminare sind kombiniert
Lecture 4 Mirlind Mustafa
Prof. Dr. Cristian Huse
  • Master
2.01.810 Designing Explainable Artificial Intelligence Dates on Tuesday, 11.04.2023 15:00 - 16:00, Monday, 25.09.2023 - Friday, 29.09.2023 09:00 - 17:00
Description:
This course combines theoretical foundations from the field of Explainable Artificial Intelligence (XAI) with practical implementations for real-world problems. This includes: • Communicating the status quo on the topic of Explainable Artificial Intelligence (XAI) and relevant use cases, stakeholders and research opportunities • Instantiating possible solutions • Using qualitative and/or quantitative research methods for the evaluation of possible solutions • Working on (inter)disciplinary questions with high relevance for research and practice This module will be held as a 1-week block course and (probably) in cooperation with students from the Ruhr University Bochum (Prof. Dr. Christian Meske). Further information can be found here: https://informatik.rub.de/studium/lehrveranstaltungen/xai/ This course combines theoretical foundations from the field of Explainable Artificial Intelligence (XAI) with practical implementations for real-world problems. This includes: • Communicating the status quo on the topic of Explainable Artificial Intelligence (XAI) and relevant use cases, stakeholders and research opportunities • Instantiating possible solutions • Using qualitative and/or quantitative research methods for the evaluation of possible solutions • Working on (inter)disciplinary questions with high relevance for research and practice This module will be held as a 1-week block course and (probably) in cooperation with students from the Ruhr University Bochum (Prof. Dr. Christian Meske). Further information can be found here: https://informatik.rub.de/studium/lehrveranstaltungen/xai/
Lecture - Prof. Dr.-Ing. Daniel Sonntag
Dipl.-Ing. Hannes Kath
  • Master
2.01.809 Selected Topics in IT-Security Thursday: 10:15 - 11:45, weekly (from 13/04/23)

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 /// - Intrusion detection - 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 and a first academic reference on each topic can be found here: https://cloud.uol.de/s/oP7AzgpxSRttWFK /// 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 /// - Intrusion detection - 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 and a first academic reference on each topic can be found here: https://cloud.uol.de/s/oP7AzgpxSRttWFK
Seminar 2 Prof. Dr. Andreas Peter
  • Bachelor
2.01.536 Convolutional Neural Networks The course times are not decided yet.
Description:
Lecture - Prof. Dr. Oliver Kramer
  • Master
2.02.195 Environment and Inequality: Socioeconomic Linkages and Policy Instruments Monday: 12:15 - 13:45, weekly (from 17/04/23)

Description:
Lecture - Dr. rer. pol. Anelise Rahmeier Seyffarth
  • Bachelor
2.12.071 Sustainable Supply Chain Management Thursday: 10:15 - 13:45, weekly (from 13/04/23)

Description:
Lecture - Prof. Dr. Christian Busse
Satwant Dahiya
  • Master
2.02.832 Maritime Law Monday: 16:15 - 17:45, weekly (from 17/04/23)

Description:
Seminar - Angeline Asangire Oprong
  • Master
2.01.590 Current Topics in Artificial Intelligence with Applications in Health Tuesday: 08:15 - 09:45, weekly (from 11/04/23)

Description:
Dieses Seminar vermittelt Einblicke in verschiedene Anwendungskontexte von maschinellen Lernverfahren, insbesondere von Deep Learning, in der (Bio-)medizin. Dabei sollen je nach Instanziierung des Moduls verschiedene Schwerpunkte gesetzt werden, wie beispielsweise aktuelle Beispiele von maschinellen Lernverfahren zur Diagnoseunterstützung, Analyse von multimodalen Daten bis hin zur Analyse von Proteindaten. Dieses Seminar vermittelt Einblicke in verschiedene Anwendungskontexte von maschinellen Lernverfahren, insbesondere von Deep Learning, in der (Bio-)medizin. Dabei sollen je nach Instanziierung des Moduls verschiedene Schwerpunkte gesetzt werden, wie beispielsweise aktuelle Beispiele von maschinellen Lernverfahren zur Diagnoseunterstützung, Analyse von multimodalen Daten bis hin zur Analyse von Proteindaten.
Seminar 2 Prof. Dr. Nils Strodthoff
  • Master
2.01.369-A Selected topics in nanomechanics and the mechanical characterization of nanomaterials using microscopy Tuesday: 12:15 - 13:45, weekly (from 11/04/23)

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
Anja Hiller
  • Master
2.13.051 IVS - International Virtual Seminar Thursday: 16:45 - 17:45, fortnightly (from 13/04/23)

Description:
Seminar - Malena Ripken, M. Sc.
Dr. rer. nat. Tanja Behrendt
  • Master
2.12.282 Computational Economics Monday: 12:15 - 13:45, weekly (from 17/04/23)
Tuesday: 12:15 - 13:45, weekly (from 11/04/23)

Description:
Topics in economic research / Advanced topics in sustainability economics Computer-based numerical simulations are an important method in applied economic analysis for assessing the impacts of policy reforms. This course provides an introduction to simple numerical models that can be used for quantifying the effects of important energy and climate policy regulations. Such regulations build either on market-based instruments (e.g., emission taxes and tradable permits) or command-and-control strategies (e.g., energy efficiency mandates, renewable portfolio standards, and technology phase-out policies). Topics in economic research / Advanced topics in sustainability economics Computer-based numerical simulations are an important method in applied economic analysis for assessing the impacts of policy reforms. This course provides an introduction to simple numerical models that can be used for quantifying the effects of important energy and climate policy regulations. Such regulations build either on market-based instruments (e.g., emission taxes and tradable permits) or command-and-control strategies (e.g., energy efficiency mandates, renewable portfolio standards, and technology phase-out policies).
Lecture - Prof. Dr. Christoph Böhringer
Lukas Riesenbeck
Laura Schürer
  • Master
2.02.752b Transnational Biodiversity and Genetic Resources Law II Thursday: 16:15 - 17:45, weekly (from 13/04/23)

Description:
Seminar 2 Evanson Chege Kamau
  • Master
2.12.073 Sustainable Supply Chain Management Thursday: 10:15 - 13:45, weekly (from 13/04/23)

Description:
Seminar - Prof. Dr. Christian Busse
Satwant Dahiya
  • Master
2.02.361 Umweltökonomik/ Environmental Economics Tuesday: 12:15 - 15:45, fortnightly (from 18/04/23), Location: W04 1-162
Dates on Tuesday, 20.06.2023 12:15 - 15:45, Wednesday, 19.07.2023, Friday, 21.07.2023 10:15 - 17:45, Monday, 14.08.2023 10:00 - 12:00, Location: W04 1-162, A05 0-056

Description:
dazugehöriges Seminar: 2.02.362 Umweltpolitik dazugehöriges Seminar: 2.02.362 Umweltpolitik
Lecture - Prof. Dr. Cristian Huse
  • Bachelor
  • Master
2.02.1162 Economy in China Dates on Thursday, 20.04.2023 18:15 - 19:45, Wednesday, 03.05.2023, Wednesday, 10.05.2023, Wednesday, 24.05.2023, Wednesday, 14.06.2023, Wednesday, 05.07.2023 16:15 - 17:45
Description:
Seminar - Prof. Dr. Hans-Michael Trautwein
  • Master
2.01.607 Business Intelligence II The course times are not decided yet.
Description:
Lecture - Viktor Dmitriyev
Dr.-Ing. Andreas Solsbach
Prof. Dr. Frank Köster
Dipl.-Inform. Barbara Bremer-Rapp
  • Master
2.01.368 Microrobotics Selected Topics Friday: 10:15 - 11:45, weekly (from 14/04/23)

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
Anja Hiller
  • Master
2.03.022 Comparative Tort Law Tuesday: 13:15 - 15:45, weekly (from 11/04/23)

Description:
Die Veranstaltung findet in Bremen statt. Die Veranstaltung findet in Bremen statt.
Lecture - Tobias Pinkel
  • Bachelor
2.02.005 MA-Kolloquium VWL/ Environmental & Energy Economics The course times are not decided yet.
Description:
Colloquium - Prof. Dr. Emmanuel Asane-Otoo
  • Master
2.03.004 Internal Market Law Harmonisation and Competition Thursday: 14:15 - 15:45, weekly (from 13/04/23)

Description:
Seminar - Dr.Jur. Victoria Chege, LL.M.Eur.
  • Bachelor
2.01.511 Smart Grid Management Tuesday: 14:15 - 15:45, weekly (from 11/04/23), Location: A01 0-008
Friday: 12:15 - 13:45, weekly (from 14/04/23), Location: A04 2-221

Description:
Lecture 4 Prof. Dr. Sebastian Lehnhoff
Dr. Jörg Bremer
  • Master
2.01.204 Eingebettete Systeme II Tuesday: 12:15 - 13:45, weekly (from 11/04/23), Location: V03 0-M017
Wednesday: 08:15 - 09:45, weekly (from 12/04/23), Location: V04 1-146

Description:
Das Modul leistet eine Einführung in den Entwurf digitaler eingebetteter Systeme. Das Modul leistet eine Einführung in den Entwurf digitaler eingebetteter Systeme.
Lecture 4 Prof. Dr. Martin Georg Fränzle
Rabeaeh Kiaghadi
  • Bachelor
  • Master of Education
2.02.196 Environment and Inequality: Socioeconomic Linkages and Policy Instruments Tuesday: 12:15 - 13:45, fortnightly (from 18/04/23)

Description:
Seminar - Dr. rer. pol. Anelise Rahmeier Seyffarth
  • Bachelor
2.02.350 International Economics Monday: 14:15 - 15:45, weekly (from 17/04/23)

Description:
Lecture 2 Prof. Dr. Hans-Michael Trautwein
Nils Vitu
  • Bachelor
2.01.965 Foundations of STS Eng.: Systems Engineering Friday: 12:15 - 13:45, weekly (from 14/04/23)

Description:
The lecture will convey an introduction into systems engineering methods and applications. The lecture will convey an introduction into systems engineering methods and applications.
Lecture 2 Rabeaeh Kiaghadi
Prof. Dr. Martin Georg Fränzle
  • Master
66 Seminars

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