The Professional Practice gives students the opportunity to work in an architectural office or related fields to gain new practical experience in different stages from design studies, competition entries and construction projects up to the on-site building process. The Professional Practice is planned and set up by the students, under the guidance of mentors. Thereby students learn to apply for a new job. They prepare a professional portfolio and document their learnings during the professional practice. Those who already work in an architecture office or in related fields can also complete the Professional Practice module but must arrange a work situation that allows them to gain experience in a new field within their employment for the required duration. The experiences and insights gained during the Professional Practice are presented at the University of Liechtenstein and reviewed in front of the mentors.

Professional practice under the guidance of mentors.
Professional Practice enables students to establish a close link to practice. By working on studies, competitions or real
projects, students gain a deeper insight into various areas and phases of architecture and related fields. By collaborating
on real projects, students are enabled to supplement their theoretical studies with practical work.

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

Minimum 75% compulsory attendance
Two mentoring meetings, the first before starting the professional practice and the second during the professional practice.
The final grade is calculated according to the weighting of the following components: professional practice documentation (60%) and presentation (40%).

Climate Design encompasses various aspects aimed at considering the influence of climate in architectural designs. The key concepts covered in the Climate Design seminar are climatic analysis, passive design strategies, energyefficient technologies, sustainable materialisation as well as digital simulation and modelling tools. By mastering these curriculum components, architecture students can design buildings that maximise user comfort while minimising their environmental footprint. Overall, the learning outcomes of studying climate design in architecture include equipping students with the knowledge and skills to create sustainable, energy-efficient, and environmentally conscious designs that prioritise user comfort and reduce the overall ecological footprint of buildings.

1. Understanding of Climate Factors
2. Integration of Passive Design Strategies
3. Application of Energy-Efficient Technologies
4. Selection of Sustainable Materials
5. Use of Simulation and Modeling Tools
6. Environmental Consciousness
7. Effective Communication and Collaboration

The seminar involves interactive lectures with exercises to integrate theoretical knowledge with critical analysis skills. Case studies are used to discuss the course contents. Recent scientific publications from Sustainable Design and climate architecture are examined in class.

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 (80%) and active participation (20%).

This module provides an overview and a comparative analysis of specific building cultures. It defines parameters forming a building culture, provides a historical overview and identifies definitions of building cultures and their role in contributing to the formation of identities. Building cultures are not only assessed according to their architectural output, but also analysed and understood within their social, economic and environmental context. Different Architecture languages must be experienced as part of a general cultural discourse. The course will encourage students to actively investigate the specificities of different cultures, positions and tools as necessary components for a conscious architectural attitude. Beside lectures and excursions the students will be actively participate to the shaping of the module through short presentations and essays.

exercises, research, writing, case study

Paper, Portfolio, exercises, minimum 70% mandatory presence, continuous assessment

This module, to be undertaken in the third semester, allows students to compose a Preliminary Study. The Preliminary Study serves as a basis for the Master's Thesis. It contains a research question, an in-depth theoretical investigation as well as a conceptual outline for the Historical and Theoretical Report as well as the Technical Report.

Lecture: researching, writing

Paper & Presentation (Preliminary Study); 75% mandatory presence, continuous assessment

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.

Urban Design & Spatial Development Unit:
We are happy to support your independent study projects that use our methods and approaches to pursue relevant urban and spatial development issues and to help you find your own research questions. We can offer topics for independent studies related to our research areas in the Alpine Rhine Valley and beyond.
Then get in touch with us. We look forward to working with you!

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 Prof. Michael Wagner directly: michael.wagner@uni.li

Den Studierenden werden fundierte Kenntnisse in den Bereichen Cyberkriminalität, Cybersicherheit und CyberResilienz sowie zu aktuellen Zukunftsthemen wie Blockchain-Technologie, Token, Big Data und Künstlicher Intelligenz vermittelt. Anhand praxisrelevanter Beispiele – von Ransomware-Angriffen, DDoS-Attacken und illegalem Bitcoin Mining bis hin zum Einsatz Künstlicher Intelligenz – werden die vielfältigen strafrechtlichen Fragestellungen
und neuen Herausforderungen für Rechtsanwender aufgezeigt.
Das Modul behandelt folgende Themenfelder:
• Hintergründe, Erscheinungsformen und aktuelle Phänomene der Cyberkriminalität
• Nationale, europarechtliche und internationale Rechtsakte sowie grundlegende Aspekte der Strafbarkeit von Cyberkriminalität
• Cybercrimes als Angriffe auf Informationssysteme
• Cybercrimes als Angriffe auf fremdes Vermögen
• Cybersicherheit (insb. das CSG)
• Cyberresilienz (insb. das EWR-DORA-DG)
• Regularien und Funktionsweise von Blockchain und Token (insb. das TVTG)
• Crypto Crime – strafrechtliche Aspekte von Blockchain und Krypto-Assets
• Einführung Data Science und Künstliche Intelligenz im Wirtschaftsstrafrecht – Herausforderungen, Methoden und Anwendungsbereiche
• Rechtliche Rahmenbedingungen betr. KI
• Legal Tech und Wirtschaftsstrafverfahren
• Typische Fallbeispiele aus der Praxis

Interaktive Vorlesung mit eingehender Diskussion.

Die Studierenden erwerben in diesem Modul theoretisch fundierte und zugleich praxisorientierte Kenntnisse zu den zentralen Strafbestimmungen im Bereich der Cyberkriminalität sowie zu den strafrechtlichen Haftungsrisiken beim Einsatz Künstlicher Intelligenz. Darüber hinaus werden Aspekte der Cybersicherheit und Cyberresilienz behandelt, um den Studierenden ein Verständnis für präventive Schutzmechanismen und deren rechtliche Einbettung zu vermitteln. Ergänzend erhalten sie Einblicke in die technischen Grundlagen, die ein grundlegendes Verständnis von IT-bezogenen Sachverhalten ermöglichen.
Die Studierenden haben die Kompetenz, strafrechtlich relevante Sachverhalte im Zusammenhang mit der Digitalisierung zuverlässig zu erkennen sowie einschlägige Problemstellungen praxisorientiert sowie mit innovativen Lösungsansätzen zu bearbeiten. Sie sind in der Lage, den vielfältigen rechtlichen Herausforderungen einer zunehmend digitalisierten Welt erfolgreich, qualifiziert und verantwortungsbewusst zu begegnen.

• Lineare Algebra
• Matrizenalgebra
• lineare Gleichungssysteme
• lineare Optimierung
• ökonomische Anwendungen (Teilbedarfsrechnung, Input-Output-Analyse, …)

• Finanzmathematik
• Zins- und Zinseszinsrechnung
• Äquivalenzprinzip der Finanzmathematik
• Rentenrechnung
• Tilgungsrechnung
• Ermittlung von Effektivzinssätzen (Regula falsi)

• Ein- und mehrdimensionale ökonomische Funktionen
• Wichtige ökonomische Funktionen
• Darstellungsarten mehrdimensionaler Funktionen
• Differentialrechnung
• Ökonomische Interpretation der (partiellen) Ableitung
• Elastizität von ökonomischen Funktionen
• Extremwertberechnung ohne Nebenbedingungen
• Extremwertberechnung mit Nebenbedingungen
• Ökonomische Anwendungen

Vorlesung

This module introduces the foundations of research methodology with a specific emphasis on empirical finance applications. Students learn the fundamental principles of research philosophies, methodological approaches, research design, and the factors influencing methodological decisions. The course covers the development, implementation, and analysis of research projects and highlights how methodological choices affect research outcomes.

Building on these foundations, the lecture provides theoretical training in conducting financial research. Students learn how to collect and manage financial data from various databases, perform descriptive and inferential statistical analysis, and apply linear regression and time-series models for forecasting. They further develop skills in formulating testable hypotheses, selecting appropriate research strategies, and applying suitable data collection and sampling methods. The course includes hands-on work with software tools commonly used in financial data analysis.

To register for the Research Methods I module, students must have successfully completed the Statistics, Business Mathematics, English I and Scientific Working modules.

The successfull completion of this module is necessary for registering in the Module Research Methods II.

Das Modul Vertiefung Wirtschaftsrecht baut auf den Kenntnissen auf, die in den Modulen "Grundlagen des Rechts" und "Wirtschaftsrecht & Corporate Governance" erworben wurden, und bietet den Studierenden die Möglichkeit, diese anwendungsorientiert anhand praktischer Beispiele (Case-Studies) zu vertiefen. Die Schwerpunkte liegen unter anderem in folgenden Bereichen:

• Gesellschafts-, Stiftungs- und Trustrecht
• Rechtsformwahl und
• Gründung von Kapital- und Personengesellschaften
• Bank-, Versicherungs- und Finanzmarkt
• EWR-Recht
• Wirtschaftsstrafrecht
• Compliance
• Recht der Digitalisierung

• Vortrag der Dozierenden
• Lektionen mit fragend-didaktischem Aufbau
• gemeinsame Bearbeitung von anwendungsorientierten Case-Studies
• Bearbeitung von Case-Studies im Selbststudium und Präsentation in Kleingruppen