Das Modul Grundlagen des Rechts dient der Vermittlung grundlegender Rechtsinstitute des liechtensteinischen Privatrechts sowie einer Einführung in das Öffentliche Recht Liechtensteins samt seinen Bezügen zum Recht des Europäischen Wirtschaftsraums.

• Einführung in die liechtensteinische Rechtsordnung
• Rechtsgeschäftslehre
• Schuldrecht Allgemeiner Teil (Leistungsstörungen, Gewährleistung, Änderungen im Schuldverhältnis)
• Schuldrecht Besonderer Teil (Vertragstypen, Schadenersatzrecht)
• Sachenrecht
• Konsumentenschutzrecht
• Einführung in das Strafrecht
• Grundzüge des materiellen Strafrechts
• Besonderheiten der liechtensteinischen Staatsform
• Grundzüge des Staatsorganisationsrechts
• Gesetzgebungsprozess
• Funktion des EWR und Auswirkungen der EWR-Mitgliedschaft auf die liechtensteinische Rechtsordnung

Vorlesung

This course provides a comprehensive understanding of business ethics, focusing on theory, principles, and worldviews. It explores the role of ethical leadership, corporate ethics, and professional conduct standards. The course also covers important industry codes of ethics and standards of professional conduct. Through interactive lectures and case discussions, students will gain insights into the ethical challenges faced by finance professionals. Key topics covered are:

• Theory, principles, and world-views on ethics
• The ethical leader: self-mastery and ethics, mind-sets
• Corporate ethics: shared values, professionalism
• Industry codes of ethics and professional conduct
• Ethical dilemmas
• Professionalism in finance
• Standards of professional conduct
• Learning Outcomes

Interactive Lecture

After successful completion of the course, students will

Professional competence

• understand the origins, discipline, and business case of ethics.
• apply ethical principles in business scenarios.
• valuate the impact of ethics on financial decision-making.

Methodological competence

• discuss ethical dilemmas in the corporate context.
• analyse cases involving ethical challenges.
• evaluate different ethical frameworks.

Social competence

• familiarize with standards of professionalism.
• communicate ethical standards effectively.
• collaborate in discussions about ethical issues.

Personal Competence:

• develop self-mastery and ethical mind-sets.
• reflect on personal ethical beliefs and values.

Participation (20%), Written exam (80%); Attendance is mandatory (80%)

This course is designed for MSc in Finance students in their third semester to develop a research exposé as afoundation for their master thesis, which they will write in the following semester. Students will engage in developing research questions and hypotheses, designing qualitative and quantitative research, and writing and communicating research proposals.

Key topics covered in this course include:

• Developing research questions and hypotheses
• Designing qualitative and quantitative research
• Writing research proposals
• Communicating research proposals
• Conducting structured literature reviews
• Identifying research gaps

• Interactive seminars and workshops.Peer review sessions for feedback on research proposals.Individual and group mentoring with faculty advisors.

• After successful completion of the course, students willProfessional competenceconduct structured literature reviews and identify research gaps.derive research questions and testable hypotheses based on existing literature.select and apply appropriate methods to answer the hypotheses. - Methodological competencedesign qualitative and quantitative research.apply rigorous research methods.structure and produce research proposals. - Social competencecollaborate effectively with peers and advisors.communicate research proposals effectively in academic settings. - Personal competencedevelop critical thinking and analytical skills.enhance self-directed learning and independent research abilities. - Technological Competence:utilize research databases and software.apply statistical analysis tools.use digital platforms for writing and presenting research proposals.

Written research exposé (30%), Presentation (70%); Attendance is mandatory (80%)

This optional module, allows for various kinds of research studies in collaboration with planned or ongoing research projects. It is closely linked to the five units of the School of Architecture and is undertaken individually or in small teams of students. Supervision consists of guiding students towards clear results in a particular area of research. The research project is reviewed before a panel of experts from the supervising research unit.

Built Heritage & Upcycling Unit:
Would you also like to be a border crosser and cross borders with us? Ernst Sommerlad (1895-1977) was one of the first architects in the Principality of Liechtenstein and brought the architectural language of Modernism here. Despite the most adverse political circumstances, he did not allow himself to be limited by borders either architecturally or physically, and also built in Germany, Vorarlberg, St. Gallen, Appenzell and Graubünden. On the occasion of a symposium at the University of Liechtenstein in the fall of 2025, we will analyze the fast and exciting oeuvre of Sommerlad under close scientific scrutiny in cooperation with the country and the OST (Eastern Switzerland University of Applied Sciences)

Research or design studies defined by research units and under the guidance of mentors, usually closely related to current research projects, developed individually or in groups. The offers of the research semester vary each se-mester depending on the units and are coordinated with the academic director of the Master's degree pro-gramme.

Minimum 75% compulsory attendance, continuous assessment and regular meetings with instructors.
The final grade is calculated according to the weighting of the following com-ponents: final submission (80%) and oral presentation (20%).

Individual appointments will be set with the tutor; group projects are also possible, as well as group work with individual submissions;

start, final submission and presentation can be individually
defined with the respective tutors.

Registration via the intranet of the University of Liechtenstein is not binding and is only valid in combination with the written consent of the respective unit. This applies to all Individual Electives in the Master's degree programme in Architecture.

This module allows for various kinds of external workshops, summer schools, study trips, etc. It is not necessarily connected to the five units of the School of Architecture and often organised by other universities, consortia or research institutions. Usually, students attend workshops of 5 to 10 days and develop projects in groups. Presentations are reviewed by the workshop tutors.

Design or research workshops in groups under the guidance of mentors and with the active participation of the students.

After successful completion of the course, students will be able to

Minimum 75% compulsory attendance and continuous assessment.
The final grade is calculated according to the weighting of the following components: final submission (60%), active participation (20%) and final presentation (20%).

Registration is only binding after confirmation from the workshop leader

For Bachelor students: submissions can be done in German

All aspects that have to be considered for writing a successful exposé and master thesis, like e.g. the fulfillment of formal requirements, the development of a research project and the correct choice of methodology for answering the research question.

Student Presentations and discussion
Self-study through reading announced literature at home.

After the completion of this module, the students have successfully handed in their Exposé for the master's thesis and know how to conduct a research project. They have learned how to develop a research question, choose and discuss the methodology for answering it. They know how good research papers and theses look like and are able to transfer this knowledge into their own project.

> Learn how to structure a research project
> Formulate a research idea and develop a research question
> Narrow the research idea to a realizable size
> Choose and justify a research methodology
> Conduct a sound literature review
> Formulate an exposé in which the research project is described and justified
> Know and apply the scientific standards and writing principles of the University
> Discuss their project and integrate peer and professional feedback
> Give feedback on other research projects
> Organize their project in terms of literature, writing and time plan
> Learn how to develop a thesis exposé

Presentation (30%)
Written exposé (70%)
Both parts need to be psitive
Obligatory Class Participation

• Identification of a research problem and development of a research questionThematically formulating a problem and developing a solution through application of - scientific methods Independence in handling a research problem determined in the course of an assessment.Discussion with the advisor about methodological and content issues in solving a research - topic.Completion of a comprehensive assignment where the students deal with a theoretical or - practice-oriented problem in their field of specialisation by drawing on scientific work methods. Completion of presentation documentation on a research problem within their specialised - field. Defense of the elaborated research topic and in-depth discussion with the examination board.

After completion of the module, the students have acquired a detailed knowledge and a critical understanding of their research topic. They have at their disposal specialised knowledge of methods and procedures for processing data and explaining it in a structured manner.
Furthermore, they exhibit originality and creativity in the application of their knowledge.

The students complete research and development projects, applying specialised research methods, survey and development techniques by drawing on their previously acquired skills.
Additionally, they present the significant findings of their project to academic and real economy specialists, thereby utilising various communication methods in order to illustrate complex data on a scientific level.

Upon positive evaluation of the thesis module the Master's degree is awarded to the candidate.

Crypto Finance covers an introduction to the blockchain and its applications to crypto markets and portfolio man-agement. The course builds on the basic concepts of the blockchain technology and Bitcoin. The course then ex-tends to the development of Altcoins and their features. The course concludes with the integration of crypto as-sets into portfolio management.
Key topics covered are:
· Blockchain Technologies
· Consensus Mechanisms
· Forks
· Bitcoin
· Altcoins
· Token Sales
· Crypto Portfolio Management

· The module involves interactive lectures and video podcasts by the students.

After successful completion of the course, students can

Professional competence
· understand the most important concepts of blockchain and Bitcoin.
· understand how to categorize altcoins.
· differentiate between types of consensus mechanisms and forks.
· describe and evaluate token sales mechanisms.
· analyse benefits and risks of crypto assets in portfolio management.
Methodological competence
· describe the key concepts of the blockchain technology and Bitcoin.
· categorize and evaluate altcoins.
· evaluate consensus mechanisms.
· understand the occurrence of forks.
· explain the benefits and risks of crypto assets in portfolio management.
Social competence
· organise learning materials and work in groups.
· discuss the topics and results in the lectures.
Personal competence
· prepare and produce a video podcast.
· “Think critically” i.e., they can explain and evaluate the topics covered in the course

Written exam (60 %), Video podcast (30 %), Class participation (10 %)

This optional module allows for various kinds of research studies. It is closely connected to the five units of the Liechtenstein School of Architecture and is usually part of ongoing research projects. The supervision consists of directing the students towards clear results within a given field of research. The individual study is reviewed within the respective unit.

Urbanism, Architecture & Society:
Do you like writing, or want to gain more experience scientific writing?
Are you interested in learning about and applying methods of urban research?
Want some credit points for that?
Urbanism, Architecture & Society Unit (UASU) is happy to support independent study projects utilizing our methods and approaches, either (1) pursuing questions relevant to our group, or (2) supporting you in finding your own research questions. We can provide topics for independent study related to our research areas in the Alpine Rhine Valley, as well as various locations across the Global South.
We also encourage aligning independent study projects with our other concurrent courses including: Raum & Gesellschaft, Studio Jozi, Urban Theory, Planning & Places, Architectural Theory, or Pro Bono.

Self-defined design or research studies, developed individually or in groups agreed upon with research units and under the guidance of mentors. The size of the module is determined by the respective unit.

After successful completion of the course, students will be able to

Minimum 75% compulsory attendance, regular meetings with instructors, continuous assessment, portfolio and final review.
The final grade is calculated according to the weighting of the following components: final submission (80%) and oral presentation (20%).

Individual appointments will be set with the tutor.

You can register for this independent study alone or in a group. For registration and enrolment, please get in touch with Lindsay Howe: lindsay.howe@uni.li

The Advanced Investment Strategies course is designed to provide students with in-depth knowledge and practical
skills in advanced portfolio management and investment strategies. The course is structured into two main parts. The first half focuses on advanced portfolio management and optimization techniques such as improved estimates, Black-Litterman and equal risk contribution portfolios. The second half involves student groups presenting and implementing (in R) advanced investment strategies from selected papers, covering various techniques (e.g. statistical arbitrage) and datasets (such as bonds, exchange rates, crypto currencies or derivatives).

Key topics covered in this course include:

• Advanced Portfolio Management Techniques
• Optimization Methods: Improved Estimates, Black-Litterman, Equal Risk Contribution
• Statistical Arbitrage
• Investment Strategies for Bonds
• Exchange Rate Strategies
• Cryptocurrency Strategies
• Derivative-based Strategies
• Implementation of Investment Strategies using R

• The module involves interactive lectures with exercises to integrate theoretical knowledge with critical analysis skills.
• Case studies are used to discuss the course contents.
• Contemporary scientific publications from Information Systems and Human-Centred Design are discussed in class.

After successful completion of the course, students will

Professional competences

• gain advanced knowledge in portfolio management and optimization techniques.
• understand and apply various advanced investment strategies to different asset classes.
• develop the ability to critically evaluate and implement investment strategies.

Methodological competences

• utilize advanced optimization methods for portfolio management.
• apply statistical arbitrage and other quantitative investment techniques.
• integrate financial theories with practical investment strategy implementation.

Technological competences

• proficiently use R for advanced portfolio management and strategy implementation.
• analyse and manage different datasets using R for investment decision-making.
• leverage technology to enhance investment strategy development and execution.

Social competences

• collaborate effectively in groups to research and present investment strategies.
• communicate complex investment concepts and strategies clearly and concisely.
• engage in constructive discussions and provide feedback on peer presentations.

Personal competences

• develop independent research skills in advanced investment techniques.
• enhance problem-solving abilities in the context of financial data and strategies.
• reflect on the ethical and practical implications of advanced investment strategies.

Final written exam