Die Betriebswirtschaftslehre (BWL) ist eine Teildisziplin der Wirtschaftswissenschaften und beschreibt die Führung, Steuerung und Organisation eines wirtschaftlichen Betriebs oder Unternehmens und basiert grundsätzlich auf der Annahme, dass Güter knapp sind und somit ein ökonomischer Umgang mit eben diesen Gütern erforderlich ist. Ziel der "Einführung in die BWL" ist es, Entscheidungsprozesse in Unternehmen zu beschreiben, zu erklären und zu unterstützen. Dabei befasst sich die BWL mit der wirtschaftlichen Perspektive, fokussiert auf den Einzelbetrieb.
Das Modul umfasst die Vorlesung „Einführung in die Betriebswirtschaftslehre" sowie die dazugehörende Übung. Im Detail vermittelt das Modul ein Grundverständnis der wichtigsten Elemente von Unternehmen und deren Zusammenhänge. Zusätzlich werden Themen zum Unternehmertum (Entrepreneurship) aufgegriffen.

>Kryptobörsen und ihre Besonderheiten
>Blockchain-Produkte
>FinTech-Produkte
>Portfoliomanagement mit Kryptoanlagen
>Risikomanagement von Kryptoinvestments
>Neue Rollen der Finanzintermediäre
>Erschliessung neuer Märkte

• Wissen und Verstehen:

Die Studierenden kennen die wichtigsten neuen Finanzinstrumente und wissen, wie diese gehandelt werden. Weiterhin kennen sie die grundsätzlichen Adaptierungsmöglichkeiten bestehender Risikomanagement- und Portfoliotechniken, um Kryptoinvestments in die bestehende Strategie zu integrieren.

• Anwendung von Wissen und Verstehen:

Die Studierenden sind in der Lage, Kryptowährungen zu handeln und Strategien zu entwickeln, um diese in bestehende Portfolios zu integrieren.

• Urteilen:

Die Studierenden sind fähig, die Chancen und Risiken von Kryptoinvestments zu bewerten.

• Kommunikative Fertigkeiten:

Die Studierenden sind fähig Portfoliomanagement- und Risikomanagementstrategien gegenüber dem Unternehmensmanagement und anderen Stakeholdern darzustellen und zu diskutieren.

• Selbstlernfähigkeit:

Die Studierenden können sich aufbauend auf die gelernten Basismodelle selbstständig in komplexere Strategien einarbeiten.

Pension Finance provides an introduction to concepts and methods around saving for and spending in retirement.

The course covers the following topics:

• Modelling the human life cycle
• Models of human mortality
• Valuation models of deterministic interest
• Models of risky financial investments
• Models of pension life annuities
• Models of life insurance
• Sustainable spending at retirement
• The pension system in Liechtenstein and Switzerland

• Interactive lecture
• E-learning courses to complement and extend the lecture

After successful completion of the course, students will

Professional competences

• analyse client needs regarding their financial needs with respect to longevity and retirement.
• understand the effects of longevity, bequest motive, and risk-return trade-off on the corresponding

choices made by individual investors.

• select appropriate financial instruments for individual pension planning and justify this selection economically.
• understand the Liechtenstein pension system and can compare it to systems in other countries.

Methodological competences

• combine valuation techniques from finance with those from actuarial mathematics .
• understand and apply life-cycle models of individual investors.
• combine financial models with models for longevity risk.

Technological competences

• use R in the context of pension finance.

Final written exam

• Fundamentals of Digital Markets, Platform Economics, Digital Transformation and changes in value creation through digitization.
• Strategies and Principles of a Platform Economy. (e.g. Gig-Economy, Sharing Economy, Digital Entrepreneurship)

Students...

Enrollment from WS23/24
These admission requirements:

• To register for modules in the specialization, the modules Statistics, Business Mathematics, and English I must have been successfully completed.
• In addition, the Strategic Management module must be successfully completed in order to register for the IME specialization.

Enrollment before WS23/24
Either the above admission requirements or:

• To register for fifth semester modules, all modules from the first year of study must be successfully completed.
• Elective courses are not taken into account for these regulations.

Translated with DeepL.com (free version)

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:
In collaboration with the Integrated Sustainable Development (ISD) Foundation and their interdisciplinary team, you are invited to be part of an ongoing neighborhood development project in Oniipa, in northern Namibia. ISD is conducting a pilot project to define alternative modes of urban development that are sensitive to places, empower residents with limited financial resources to flourish, and are designed according to socially, economically, and environmentally sustainable principles.
The research can be formulated around one of the three following topics:
1. methods of participatory planning to inquire about cultural practices and socio-economic needs of future residents;
2. context-specific, effective, and applicable urban planning tools, and coordination with local planning authorities; and
3. economically viable strategies (including e.g. green technologies) to ensure the high-impact implementation of civic infrastructures.

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

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

Process Mining provides a comprehensive exploration of the fundamentals of process mining, including conceptual foundations, methods, and technologies used for analyzing business processes with the help of digital trace data recorded in event logs.
Students attending this course will gain knowledge of foundational concepts and algorithms in process mining and acquire practical skills to mine digital trace data using process mining techniques and software. Students will also learn the main steps of conducting a process mining project within an organization as well as common challenges and strategies of process mining analysis.

The course covers four primary topics:

• Petri-net foundations of process analysis
• Process mining algorithms, including process discovery and conformance-checking algorithms
• Process mining project methodologies, strategies, and challenges of process mining analysis
• Process mining tools and applications

• The course involves interactive lectures with exercises and practical sessions with process mining software that allow integrating theoretical knowledge with analytical skills. The practical exercises run in class will allow students to work with process mining hands-on and prepare for the final exam.

After successful completion of the course, students will

Professional competence

• understand how a process mining project can be conducted in practice
• be aware of best practice strategies for conducting process mining analysis
• know how to analyze digital trace data using process mining tools

Methodological competence

• understand the foundational concepts of process mining
• understand how process mining algorithms work
• run process discovery and conformance-checking algorithms

Social competence

• know about the pitfalls of process mining
• understand how process mining is embedded in an enterprise setting

Personal competence

• be able to identify business challenges for which process mining is a fitting solution
• be able to identify challenges of process mining analysis
• be able to apply a process-oriented way of thinking when approaching data science projects

Technological competence

• understand and explain the foundational concepts of process mining
• understand and explain how process mining algorithms work
• be able to use popular process mining tools

Written exam

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.

Sustainable Design Unit:
Research in Sustainable Architecture - Focus on Fluidglass This elective module invites participants to explore the transformative potential of Fluidglass technology within the realm of sustainable architecture. In alignment with the ongoing research at the LSA, this module allows you to examine how innovative facade technologies such as Fluidglass can influence the future of construction. Participants will have a unique opportunity to contribute to the advancement of Fluidglass in the context of sustainability and contemporary building practices. Depending on the desired credit allocation, tailored work packages will be developed. These may include an exploration of current advancements in facade technology, competitor and market analyses, or technical and cost simulations. Your interests and prior knowledge will be taken into account during the initial phase of the project. Participants will engage in self-directed research, working either individually or in collaborative groups. The scope of your work will be customized to meet the specific requirements of your selected work packages and will be guided by the research unit. While there are no formal prerequisites for this module, it is advisable to undertake it in the third semester to build upon foundational knowledge. Essential literature and resources will be provided at the commencement of the course, with regular updates throughout the semester to support your work and great importance is placed on equipping the participants with a strong foundation for future projects and scientific work in the field of sustainability.

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.

A hands on introduction to podcasting, video production and web radio. Students will independently develop formats from concept to publication on Spotify, Apple Podcasts, YouTube, and the Uni web radio.

Broadcasts, podcasts, audio and video formats, editorial work, presentations, group and project work

• Independent production of journalistic audio and multimedia content
• Creation of podcasts, interviews and radio programs
• Understanding of current trends in audio and online production
• Reflection on voice and its impact in social media
• Active participation in building the university's Campus Radio

Smartphone, microphone, laptop, audio software (e.g., Audacity)

Grading

• 40% Presentation (minimum 5 pages)
• 60% Self-produced audio format (in German or English)

minimum 80% Attendance required

In Project Seminar, students analyse a real-world case from a specific industry. Students divide into groups according to their preferences and work on one of four cases through the lens of process management, data and application security, data science, or digital innovation. The course topics change from semester to semester.

Projects will address various aspects of business process management and digital transformation. Exemplary topics include but are not limited to process elicitation and understanding, analysis of process related data, digital business models, change management, human-system interaction. Projects are expected to deliver conceptual designs or to carry out practical case studies on various aspects of digital business.

• The course involves interactive seminars with workshops and regular presentations.
• The faculty and a jury of representatives from regional companies evaluate the students’ solutions in terms of innovativeness and usefulness and provide them with feedback and advice.

After successful completion of the course, students will

Professional competence

• be able to analyse real-world cases
• integrate knowledge to identify areas of improvement or innovation
• use appropriate methods to develop recommendations for a case company

Methodological competence

• manage a (small) project
• identify and structure existing information
• work with domain experts (external partners)

Social competence

• self-organise within a group
• work in a group and with external partners
• handling criticism and demonstrate the ability to criticise in a constructive manner

Personal competence

• reflect on limitations of their own work
• work on tasks independently within a group
• manage time

Seminar paper (50%), presentations (50%); 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.

Built Heritage & Upcycling Unit:
Modern architecture came to Liechtenstein in 1924: on a bicycle in the form of the young German architect Ernst Sommerlad. Sommerlad reinterpreted international modernism for the Alpine region and created dozens of residential buildings in the Principality as well as in Appenzell, St. Gallen, Graubünden and Vorarlberg. On the occasion of a scientific symposium at the University of Liechtenstein in fall 2025, we are taking a close scientific look at Sommerlad' s broad and exciting oeuvre in cooperation with the state and the OST (Eastern Switzerland University of Applied Sciences). Be part of it!

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.

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