Data Visualisation covers techniques for creating effective data visualisations based on principles from statistics, cognitive science, and graphic design to help analysts and decision-makers understand and explore big data. The course covers eight primary topics:

• Visualising univariate and multivariate numerical data
• Visualising time series data
• Visualising geospatial data
• Visualising networked data
• Visualising high-dimensional data
• Visualising textual data
• Interactive dashboards
• Animations

• The course involves interactive lectures with exercises to integrate theoretical knowledge with practical design and analysis skills.
• Real-life examples are used to show how the course content can be applied in practice.

After successful completion of the course, students will

Professional competence

• be able to create visualisations that inform business decision making
• recognise the typical challenges of visualising large and complex data sets

Methodological competence

• understand the main concepts, theories, and methods of data visualisation
• be able to use data-visualisation methods to analyse business problems, generate possible solutions, and compare these solutions in terms of their effectiveness and efficiency

Social competence

• discuss challenges and benefits of statistical graphics
• help others in group work

Personal competence

• identify new challenges and independently develop viable solutions
• reflect on their own and others’ visualisations

Technological competence

• be able to create graphs like bar charts, scatterplots, line charts, and heatmaps in R to represent various types of data sets visually
• be able to collect and prepare data before it can be visualised

Modul 3 behandelt zunächst das liechtensteinische und europäische Zahlungsverkehrsrecht, von der PSD über die Regulierung von Zahlungskonten bis zu E-Geld-Instituten. Sodann widmet sich das Modul den liechtensteinischen und europäischen Vorgaben zur Geldwäschereiprävention (Geldwäscherichtlini; Sorgfaltspflichtengesetz).
Im Modul werden zentrale Rahmenverträge des Zahlungsverkehrsrecht – etwa Kreditkartenvertrag, Online-Ban-king-Abrede, Basiskontovertrag etc. – erörtert. Konkret werden das Überweisungsverfahren, das Lastschriftver-fahren sowie Zahlungen mit Debitkarte, Geldkarte und Kreditkarte behandelt. Im Zentrum steht die Zahlungs-diensterichtlinie (PSD) sowie das liechtensteinische Zahlungsdienstegesetz. Darüber hinaus wird die Unterschei-dung von klassischen Zahlungsinstituten und E-Geld-Instituten erörtert.
Mit Blick auf die Geldwäschereiprävention steht das liechtensteinische Sorgfaltspflichtengesetz (SPG) und das eu-ropäischen Richtlinienrecht, insbesondere die Geldwäscherichtlinie, im Mittelpunkt. Dabei wird in den Einheiten auch das eng verwandte Thema der Terrorismusfinanzierung behandelt. Angesprochen werden weiters Schnitt-stellen zur prudentiellen Aufsicht (zB Geldwäschereipräventionskollegien), zum «Foreign Account Tax Compliance Act» (FATCA) sowie zum automatisierten Informationsaustausch (AIA).

Interaktive Vorlesung, eingehende Diskussion unter Einbeziehung der Studierenden, ggf. einzelne Gruppenausar-beitungen.

Die Studierenden können komplexe praktische Frage- und Problemstellungen im Bereich des Zahlungsverkehrs-rechts und der Geldwäscheprävention selbstständig beantworten und fundierte Lösungsansätze entwickeln. Die Studierende können Zahlungsdienste rechtlich einordnen und verstehen die zivilrechtlichen Grundlagen des Zah-lungsverkehrs. Im Bereich der Geldwäsche kennen die Studierenden die einschlägigen Sorgfaltspflichten. Sie wis-sen, wie Verdachtsmeldungen im Bereich der Geldwäsche und Terrorismusfinanzierung vorgenommen werden und können präventive Massnahmen und Compliance für Banken im Bereich der Geldwäscherei vorbereiten und betreuen.

• This course provides a comprehensive introduction to the principles and practices of academic writing. It focuses on developing the skills necessary for producing clear, well-structured, and scholarly texts. Students will learn to navigate and adhere to academic standards, ensuring their work meets the rigorous expectations of the academic community.Key topics covered are:Basic principles of academic writingProper citation standards (e.g., APA)Conducting comprehensive literature reviewsStructuring research projects Formulating research questionsDeveloping testable hypothesesEffective use of visuals and data in writing

• The course involves interactive lectures with exercises to integrate theoretical knowledge with practical design.Students will create a brief research paper to apply the theoretical concepts in practice.

• After successful completion of the course, students willProfessional competenceEffectively communicate complex research topicsSystematically structure a research projectFormulate empirically testable hypotheses - Methodological competenceApply appropriate citation standards to their writing, adhering to the university’s guidelinesConduct detailed and systematic literature reviews, integrating a wide range of sources into their workEffectively use visuals and data to communicate their researchDevelop clear and precise research questions

Written exam (50%), Research paper (50%); Attendance is mandatory (80%)

Deep Learning and Advanced AI Techniques cover the basics of deep learning and advanced AI techniques and recent technological trends. It also includes a few aspects of generative AI. The course covers:

• Fundamentals of artificial intelligence
• Reinforcement learning – Learning to play games and beyond
• Fundamentals of deep learning, network design, and training
• Transfer learning and pre-trained models
• Data augmentation and synthesis
• Core ideas of: Graph Neural Networks, Autoencoders, Generative adversarial networks (GANs), recurrent neural networks, convolutional neural networks, diffusion models
• Explainability and interpretability in AI
• Case studies and applications in various industries and for various tasks
• Recent trends and future directions in AI and deep learning

• The course involves interactive lectures with exercises to integrate theoretical knowledge with practical design and analysis skills.

After successful completion of the course, students will

Professional competence
• understand the basic concepts and methods of artificial intelligence and deep learning
• be able to identify suitable applications for artificial intelligence and deep learning
• understand key concerns in adopting and leveraging artificial intelligence

Methodological competence
• select, use, and adjust existing models and methods for a given task or data set

Personal competence
• critically reflect on analytical outcomes
• be able to improve and mitigate self-inflicted errors

Technological competence
•be able to use a deep learning framework such as Keras

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.

Urban Design & Spatial Development Unit:
What elements make up a neighbourhood that allows people to live without a car? Is it public transport and bike lanes, cafés and bars, shops and pharmacies or parks? How much of each and at what distance? In this independent study, you will measure the vitality of village centres in Liechtenstein, discuss what constitutes a car-free neighbourhood worth living in and how these centres can be improved.
The study is part of the research project 'Vitality analysis in the Rhine Valley - The x-minute city in the context of low to medium settlement density', which is being conducted by Dr Luis Hilti and Prof Michael Wagner from 2023 to 2026.

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 Luis Hilti directly: luis.hilti@uni.li

Im Grundlagenstudio – Vom Objekt zum Raum werden Grundlagen des architektonischen Entwerfens vermittelt. Anhand von Analyse- und Entwurfsaufgaben werden architektonische und konstruktive Fragestellungen mit steigendem Komplexitätsgrad bearbeitet. Neben grundlegenden Kenntnissen von Elementen, Räumen und Programmen werden die Zusammenhänge von Material, Struktur und Form sowie der Bezug zum Menschen, seiner Wahrnehmung und seiner Bedürfnisse mit einem Fokus auf die Suffizienz thematisiert.

Angeleitete Projektarbeit im Entwurfsstudio.
Eine Seminarwoche zum Projektschwerpunkt ist integrativer Bestandteil des Entwurfsstudios.

Minimum 75% Anwesenheitspflicht, kontinuierliche Abgaben, Zwischen- und Abschlusspräsentation.
Die Abschlussnote errechnet sich nach der Notengewichtung folgender Komponenten: Entwurfsprojekt (80%) und Schlusspräsentation (20%).

This module supports the development of communicative competence in Spanish on level A1/A2 (cf. CEFR descriptors).

Interaction, study skills

>numbers from 0 to 1 000 000 000
>describing cities and roads
>expressing like, dislike and preferences
>reading the time
>go shopping at the supermarket
>the imperative form (tú y usted)
>talk about the past
>distinguish between "ser y estar”
>discover the culture of Spain and Latin America

>understanding and passing on simple information
>taking part in simple everyday conversation
>reporting past events
>creating simple texts

Available on Moodle

Parts of assessment

A: written and oral assessments during the semester (30% of the final grade)
B: written and oral exam (70% of the final grade)

80% mandatory presence

Grading

80 % compulsory attendance

The seminar Material Ecology focuses on providing a deep understanding of the selection, use and impact of building materials on the environment and indoor climate. This subject area that aims to promote sustainable and environmentally- friendly practices in the construction sector. As part of the seminar, students learn about various aspects of material ecology in the field of architecture. These include sustainable materials, life cycle analysis, energy saving and thermal insulation, waste and recycling management and ecological certification systems.

The seminar involves interactive lectures with exercises to integrate theoretical knowledge with critical analysis skills. Case studies are used to discuss the course contents. Theoretical material is demonstrated with relevant practical tools. Excursions.

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%).

The Master's Thesis is carried out by the student as part of an Advanced Studio and is supervised by the unit. The thesis contains a developed hypothesis that is verified (or falsified) as part of the design project. In addition to the actual design project, the Master's thesis includes the design and production of the thesis book. This consists of
three parts: the documentation of the design project, a theoretical report and a technical report. The formal aspects of the thesis and the thesis book are described in the Master's thesis regulations.

Mentored project work in the design studio.

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

Successful completion of 3 Advanced Studios in the Master´s degree programme.

Minimum 75% compulsory attendance, continuous assessment, midterm and final reviews.
The final grade is calculated according to the weighting of the following components: design project (60%), final presentation (10%) and thesis book (30%: 10% theoretical report, 10% technical report and 10% project documentation).

This seminar examines the definitions and meanings of architecture from a theoretical perspective. The main theories of architecture are presented. Disciplinary and interdisciplinary aspects and questions are also conveyed as architectural cultural events in a societal context. 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. To this end, architectural theories are presented, discussed and analysed from different perspectives. The course will encourage students to actively investigate the specificities of different cultures, positions and tools as necessary components for a conscious architectural attitude. Besides lectures and excursions, the students will be actively contributing to the shaping of the module through short presentations and essays.

Lectures, oral presentations, textual analysis, written assignments, group work with various media

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 oral presentation (20%).