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.

Sustainable Design Unit:
Research in Sustainable Architecture - Focus on Sustainability.
What is sustainable and what is not?
This elective module invites participants to engage in an in-depth examination of sustainable building practices within the Alpine Rhine Valley. In alignment with ongoing research initiatives at the LSA, the module is dedicated to the development of a comprehensive catalogue of themes pertinent to sustainable construction. Through a rigorous comparative analysis of building certifications and broader sustainability frameworks, participants will investigate how these themes can inform and advance sustainable architectural practices in the region. This module offers a unique opportunity to contribute to the academic discourse on sustainability and shape the future of building practices. Participants in this module will play a pivotal role in synthesizing an extensive overview of contemporary sustainability topics and translating these insights into a structured matrix for all relevant stakeholders in architecture and the construction industry. Beyond the analysis and research of these topics, the primary tasks will involve the integration of findings into the overarching matrix. This project is tailored for students with interests spanning technical and economic dimensions, as well as ethical and philosophical considerations. At the outset of the project, the scope of each participant's work will be customized according to their knowledge base and areas of interest during the initial meeting session.
Don't miss the chance to shape the future of sustainable building.

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 semester depending on the units and are coordinated with the academic director of the Master's degree programme.

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.

• Communication skills
• Writing skills
• Business English

• Exercise with max. 30 participants
• Group and individual work
• Discussions and role plays
• Presentations and mini-lectures

To register for the English II module, you must have successfully completed the English I module.

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.

Sustainable Design Unit:
What is Fluidglass? Fluidglass represents a pioneering innovation in building technology that transforms windows into intelligent, multifunctional elements of construction. These advanced windows not only permit the passage of light but also possess the capability to store and regulate energy. By utilizing a specialized fluid enclosed within the glass that dynamically responds to temperature variations, Fluidglass significantly enhances the energy efficiency and thermal comfort of buildings. In this module, you will gain comprehensive insights into product development within the construction industry and the contemporary innovation processes that drive such advancements. Your participation will encompass a range of activities, including conducting research, performing simulations, and developing both a business model and a go-to-market strategy. The specific scope of your work will be tailored to your expertise and interests during an initial meeting session. In collaboration with the LBS Innovation Unit, this research semester presents a unique opportunity to investigate sustainable construction through the lens of practical product development. You will engage in the integration of Fluidglass technology into building designs, exploring its potential to reduce energy consumption and enhance indoor environmental quality. Working alongside experts from diverse disciplines and students from various faculties, you will develop holistic solutions to pressing sustainability challenges. This experience will equip you with critical skills and knowledge necessary for implementing sustainable building projects. Moreover, you will have the opportunity to learn about state-of-the-art technologies, contribute to environmentally responsible construction methods, enhance your career prospects, and expand your professional network.

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 semester depending on the units and are coordinated with the academic director of the Master's degree programme.

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.

Im Modul "Beschaffung, Logistik & Produktion" werden grundlegende Konzepte, Modelle und Methoden der betrieblichen Leistungserstellung behandelt und in Übungen praktisch angewendet. Zu den wesentlichen Lerninhalten zählen: Grundlagen der betrieblichen Leistungserstellung (insb. wirtschaftliche Zielsetzungen, Transformationsebenen im Unternehmen, Faktor- und Prozessbetrachtung), Beschaffung (insb. Bedarfsermittlung, Make-or-Buy-Entscheidungen, Nachfrageprognose, Bestandsmanagement), Produktion (insb. Produktions- und Ablaufplanung, Prozessdesign, Produktionsmanagement, Qualitätsmanagement) und Logistik (insb. Standortplanung, Transport, Supply Chain Management)

Vorlesung

>Crowdinvesting
>Crowdfunding
>Crowdlending
>Insurtech
>Proptech
>Social Trading
>API Banking
>Robo Advisory
>Future Outlook

• Wissen und Verstehen:

Die Studierenden kennen die wichtigsten Kategorien von FinTechs und können bestehende Projekte in diese einordnen. Weiterhin verstehen sie die grundlegenden Technologien hinter diesen FinTechs.

• Anwendung von Wissen und Verstehen: --

[Kein Schwerpunkt in diesem Modul.]

• Urteilen:

Die Studierenden sind fähig, bestehende FinTechs zu bewerten und geeignete Projektideen auszuwählen, um diese in ihrem Unternehmen zu integrieren.

• Kommunikative Fertigkeiten:

Die Studierenden sind fähig, die Vor- und Nachteile von FinTech-Entwicklung und -Integration gegenüber dem Unternehmensmanagement und anderen Stakeholdern darzustellen und zu diskutieren.

• Selbstlernfähigkeit:

Die Studierenden können selbstständig weitere Best-Practice-Beispiele finden und diese auf ihr Unternehmen anwenden.

• VT-Gesetz Liechtenstein
• Regulierung von Blockchain-Dienstleistern im EWR und in Drittstaaten
• Blockchain-Regulierung und Finanzmarktrecht
• Buchhalterische Besonderheiten bei Kryptosachverhalten:
• Deklaration und Besteuerung von Kryptowährungen bei natürlichen Personen
• Besteuerung von krypto- und blockchainbasierten Unternehmen in FL
• Mehrwertsteuerliche Behandlung eines ICO/TGE/STO
• Grenzüberschreitende Steuerplanung

• Wissen und Verstehen:

Die Studierenden wissen, welche Dienstleistungen, die auf der Blockchain angeboten werden, regulatorisch erfasst werden und welche Verhaltenspflichten Dienstleister, die Geschäftsmodelle auf der Blockchain anbieten, im EWR und in Liechtenstein einhalten müssen. Ferner sind die Studierenden befähigt, die angesprochenen Regelungen von anderen Gesetzen, unter anderem im Finanzmarktrecht, abzugrenzen. Die Richtlinien für die Besteuerung von Unternehmen und natürlichen Personen sind bekannt.

• Anwendung von Wissen und Verstehen:

Die Studierenden sind in der Lage, neue und bestehende Geschäftsmodelle anhand der geltenden Regelungen des EWR-Rechts zu analysieren und Aussagen über das rechtliche Risiko der Geschäftsmodelle zu treffen, etwa, ob ein Geschäftsmodell bewilligungspflichtig ist oder ohne Bewilligung im EWR bzw in Liechtenstein ausgeübt werden kann. Die steuerlichen Richtlinien können auf die gängigsten Geschäftsmodelle angewendet werden.

• Urteilen:

Die Studierenden sind fähig, die rechtlichen und steuerlichen Chancen und Risiken von Dienstleistungen, die via Blockchain angeboten werden, zu bewerten.

• Kommunikative Fertigkeiten:

Die Studierenden sind fähig, in Zusammenarbeit mit Aufsichtsbehörden, Steuerberatern und Projektpartnern Geschäftsmodelle und ihre regulatorischen Risiken darzustellen und zu diskutieren.

• Selbstlernfähigkeit:

Die Studierenden können auf Basis der erworbenen rechtlichen Kenntnisse selbständig neue Geschäftsmodelle erarbeiten und bestehende Geschäftsmodelle auf ihre rechtlichen Risiken hin analysieren.

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.

Built Heritage & Upcycling Unit:
Whenever there was a shortage of building materials in history, creativity was called for and a circular approach was often the answer. In the 16th century, the Frenchman Philibert de l'Orme invented a new construction method, known as "à petit bois", in which large roof surfaces were built from small pieces of wood. Instead of comprehensive designs, his architectural work was characterized by adapting, integrating and building on. We examine de l'Orme's circular approaches using the example of the roof truss of the Caserne Rochambeau in Mont-Dauphin (F). Could this method be one of the earliest concepts for planned circular building solutions?

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

None.
It is recommended to complete this course in the third semester. The prerequisite for admission is a subject registration and the approval of the responsible unit.

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.

Group projects are also possible, as well as group work with individual submissions.

The purpose of this course is to familiarize students with the statistical methods and tools necessary not only for producing high quality research output in finance, but also necessary to understand and apply the quantitative tools that are at the core of a modern and innovative financial business. In this context , students will recapture common statistical concepts such as regression analysis and hypothesis testing within financial data as well as the basics of linear algebra. Simultaneously, students will learn how to use R, a statistical software that has become
standard in research and industry. A third competence gained during the course is about how to find and download data from professional (Refinitiv) and open-source data providers.

Key topics covered are:

• Statistical programming in R (tidy data handling, programming)
• Basics of linear algebra (vectors, matrices, systems of linear equations)
• Descriptive statistics for uni- and multivariate analysis
• Time series analysis
• Hypothesis testing
• Regression analysis: uni-/ multivariate, (non-)linear

• The course is a combination of interactive lectures and coding sessions.
• Practical exercises and hands-on coding using R.
• Case studies and real-world data analysis projects.

After successful completion of the course, students will

Professional competence

• conduct empirical analysis of financial data using R.
• manage large financial datasets efficiently.
• understand and apply statistical methods to real-world financial data.

Methodological competence

• apply simple and multiple linear regressions to financial data, including model specification, estimation, and interpretation.
• perform diagnostic tests for regression models, such as tests for heteroscedasticity, multicollinearity, and autocorrelation.
• address common issues in financial time series data.
• apply statistical methods like hypothesis testing and non-parametric tests to financial datasets.

Technological competence

• develop proficiency in statistical programming in R, with a focus on the tidyverse.
• efficiently manipulate and visualize data using R.
• extract and handle data from professional and open-source data providers.

Written exam (70%), Online programming exam (30%); Attendance is mandatory
(80%)

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

None.
It is recommended to complete this course in the third semester. The prerequisite for admission is a subject registration and the approval of the responsible unit.

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.

Group projects are also possible, as well as group work with individual submissions

For registration and enrolment, please get in touch with Michael Wagner directly: michael.wagner@uni.li (or any member of the unit)

Advanced ISD project is a course wherein students must put their pre-acquired knowledge (in the Information Systems Development and Web-based Information Systems) into practice. After providing a brief introduction on some web frameworks and on API, students are meant to work in groups to develop a Web-based Information System.

• Two lectures at the beginning of the course will cover some basic concepts of Web development (in Py-thon)
• Most of the work is meant to be done by groups of 2-5 students

After successful completion of the course, students will

Professional competence
• Learn how to leverage existing frameworks to develop a web-based Information System
• Learn how to develop “original” Information Systems
• Learn how to work in groups to develop an Information System
• Learn how to document self-developed source code of an Information System

Methodological competence
• have the capability of developing and deploying functional web-applications
• have the capability of debugging self-produced pieces of software code

Social competence
• have the capability of working in groups with a common goal

Personal competence
• have the capability of autonomously troubleshooting the problems occurring in the most common IT op-erations
• have the capability of autonomously searching for the relevant information required to accomplish a given task

Technological competence
• have the capability of using popular web-development frameworks (e.g., Flask, Django)
• have the capability of leveraging public API

Project results (80%), presentations (20%); Attendance is mandatory (80%)