Network and System Security covers advanced security mechanisms in computer networks and systems and attacks against information systems. It provides a technical overview of selected security mechanisms at the networking and OS level. The course focuses on following topics topics:

• Essential network-security protocols
• Attacks against common network protocols
• Security issues in web applications
• Security mechanisms in operating systems
• Advanced exploitation techniques

The course provides an overview of the relevant aspects of the C/C++ programming language and its respective libraries.

• The module involves interactive lectures with exercises to integrate theoretical knowledge with practical design and analysis skills.
• Lab exercises and programming assignments are used to support the acquisition of practical skills.

After successful completion of the course, students will

Professional competence

• understand the intermediate-level technical concepts in network and system security
• be familiar with practical security threats in Linux operating systems

Methodological competence

• use intermediate-level security tools in Linux operating systems
• be able to setup and administrate virtual machines

Social competence

• be able to organise learning materials and solve problems independently
• create a “security mindset” and understand how certain security mechanisms can be broken

Personal competence

• address new challenges and independent findings of viable solutions
• think “out of the box” and can apply knowledge in unusual contexts

Technological competence

• be familiar with the C/C++ programming language
• be familiar with selected web application programming tools

• Students are provided with the lecture slides and supplementary material (e.g., selected journal articles).
• Technical documentation of the attacks and protection methods presented are provided.

Voraussetzung für die Anmeldung zum Modul:

• erfolgreicher Abschluss des Moduls "Data and Application Security"

Exercise: Lab assignments
Lecture: Written exam

Ziel der Lehrveranstaltung ist es, den Studierenden die grundlegenden Kenntnisse des liechtensteinischen Stiftungs- und Anstaltsrechts zu vermitteln.

Die Lehrveranstaltung behandelt folgende Themenfelder:

• Grundlegende Kenntnisse im liechtensteinischen Stiftungs- und Anstaltsrecht
• Anwendbarkeit des liechtensteinischen Stiftungs- und Anstaltsrechts
• Grundlegende Kenntnisse über das Handelsregisterrecht und die Stiftungsaufsicht (Stiftungsaufsichtsbehörde, Gerichte)

Interaktive Vorlesungen, ergänzt durch Case Studies aus der Praxis; eingehende Diskussion unter Einbeziehung der Studierenden.

Im zweiten Modul werden den Studierenden die grundlegenden Kenntnisse des liechtensteinischen Stiftungs- und Anstaltsrechts vermittelt. Die Studierenden lernen die beiden zentralen Rechtsformen der liechtensteinischen Rechtsordnung sowie deren Gestaltungsmöglichkeiten eingehend kennen. Sie erhalten einen Einblick in die grundlegenden Struktur- und Wesensmerkmale der privat- und gemeinnützigen Stiftung sowie der Anstalt und werden über Besonderheiten im Vergleich zu anderen Rechtsordnungen informiert. Ergänzend zu den Rechtsformen erhalten die Studierenden eine Einführung in das Handelsregisterrecht als auch grundlegende Kenntnisse über die Stiftungsaufsicht, die von der Stiftungsaufsichtsbehörde und den Gerichten wahrgenommen wird.
Das erlernte Wissen zum Stiftungs- und Anstaltsrecht wird anhand von Case Studies vertieft. Im Zuge dessen erhalten die Studierenden einen Einblick in die Methoden der Nachfolgeplanung mittels liechtensteinischer Rechtsformen. Die Studierenden erlangen die Befähigung, im Stiftungs- und Anstaltsbereich zu beraten und gestaltend tätig zu werden.

The course will give you a broad understanding of the Chinese civilization and its relations to the people of the western hemisphere during the last two thousand years.

Students:

• learn about Chinese history, civilization, religions, economy and politics, including the new policies of President Xi Jinping
• get to understand the differences in thinking, behavior and action of the Chinese in contrast to the people in the West.
• learn about the economic relations between China, South East Asia, South Asia, Middle East and Near East and the West along the continental and maritime silk roads. The global East-West-trade is more than 2000 years old.
• China 2049 - the violent reunification with Taiwan and its consequences for us

Lectures, self-study and paper writing, paper presentation

After successful completion of this module, students

• will understand the major differences in thinking, behavior and action between Chinese and Western people.
• will have sophisticated instruments of communication with Chinese. Intercultural misunderstandings are the major obstacle for multinational companies.
• understand the complex economic and cultural relations between China, India, the Islamic states in the Near East and the countries in Europe.
• will be able to understand the Chinese way of decision making.
• will understand that each age has its winners and losers worldwide and what we can do about it.

After successful completion of this module, students

• will understand the major differences in thinking, behavior and action between Chinese and Western people.
• will have sophisticated instruments of communication with Chinese. Intercultural misunderstandings are the major obstacle for multinational companies.
• understand the complex economic and cultural relations between China, India, the Islamic states in the Near East and the countries in Europe.
• will be able to understand the Chinese way of decision making.
• will understand that each age has its winners and losers worldwide and what we can do about it.
• learn about the Sino-Russian economic and political relations

Bernstein, William: A splendid exchange. How trade shaped the world, London 2008.
Brown, Kerry: The world according to Xi, London 2018.
Englert, Siegfried: Quanzhou, Annweiler 2012.
Frankopan, Peter: The silk roads: a new history of the world, London 2015.
Gunn, Geoffrey C.: History without borders. The making of an Asian world region 1000 - 1800, Hongkong 2011.
Hamilton, Clive / Ohlberg, Mareike: Hidden hand. Exposing how the Chinese communist party is reshaping the world, Melbourne 2020
Hansen, Valerie: Silk Road, a new history, New York 2017.
Spence, Jonathan: The search for modern China, New York 1990.
Wood, Frances: The silk road, Berkeley 2002.
Yang Jisheng: Tombstone, Hongkong 2013 (in China and Hongkong all sales were forbidden in the meantime, but there are French and German translations available).
Yang Jisheng, The world turned upside down, London 2021 (will be forbidden soon in China).
Magnus, George: Red Flags. Why Xi's China is in jeopardy, Yale Uni Press 2018

see Beurteilung

Grading

Paper (80%)
Presentation (20%)
Compulsory attendance (min. 80%)

Fakultätsübergreifendes Wahlfach:
Regeln für die Anmeldung: www.uni.li/cross-faculty

Business Statistics covers statistical methods that are used to support decision-making in business contexts, so it also provides a methodological foundation for the students’ master’s thesis projects. The course builds on the basic concepts of statistical testing and estimation theory that are usually taught in bachelor’s programmes. The course covers five primary topics:

• Graphic and numeric characterisations of random variables and their distributions
• Framework and basic applications for testing hypotheses and estimating parameters
• The ordinary least squares (OLS) method
• Simple linear regression, including parameter estimation, diagnostic plots, hypothesis testing, predictions, and model specifications using log-transformations

• The module involves interactive lectures with exercises to integrate theoretical knowledge with practical design and analysis skills.
• Students complete homework assignments after each lecture.

After successful completion of the course, students will

Professional competence

• know the difference between descriptive statistics and statistical inference based on stochastic models
• understand the framework of testing hypotheses and estimating parameters
• know the assumptions made in basic testing and estimating procedures when drawing general conclusions
• be able to explain the classic linear model assumptions

Methodological competence

• be able to describe the distributions of random variables and to calculate and interpret their moments
• be able to derive the minimum sample size for basic testing and estimation procedures
• be able to apply the ordinary least squares method to derive estimators and compare their statistical properties
• run simple linear regressions and interpret the results correctly

Social competence

• be able to organise learning materials and work in groups
• be able to discuss statistical tasks with their colleagues on a sound mathematic level

Personal competence

• be able to “think statistically” i.e., they can interpret statistical assertions in their job as well as everyday life correctly

Technological competence

• be familiar with statistics programming

• Students are provided with the lecture slides and supplementary material (e.g., selected journal articles).
• Berensen, M.L., Levine, D., & Szabat, K.A. (2014). Basic Business Statistics (13th edition). Essex: Pearson Education Limited.

Written exam

Autonomous design tools are fundamentally changing how designers work across various industries. Autonomous design tools make independent design decisions and in, some cases, execute entire design processes. They employ technologies typically associated with artificial intelligence, including machine learning, pattern recognition, meta-heuristics, and evolutionary algorithms.

Autonomous design tools allow for the generation of a variety of diverse design artifacts, including next-generation computer chips, software for specific domains, three-dimensional virtual worlds, and large amounts of content for video games and feature films. The applications for such autonomous design tools are also expanding to other industries, such as mechanical engineering, aerospace, and architecture.

Instead of creating artifacts by directly manipulating their representations, designers select tools, decide on design parameters, set values for these parameters, and evaluate and learn from the analysis of the results the tools produce. Design work in such situations involves intense interaction with autonomous tools. Designers need to be mindful of the logic, capabilities, and limitations of the tools, and the algorithms these tools employ, and find ways to make sense of and deal with the often unanticipated outputs of such tools.

The course addresses this increasingly important role of autonomous design tools by

• discussing the conceptual foundations of autonomous design tools.
• discussing how autonomous design tools change the nature of work and the role of human designers.
• analysing examples of using autonomous tools in design practice.
• providing hands-on experience in agent-based modelling for students to simulate the behavior of these tools.
• providing hands-on experience in using autonomous design tools for the design of virtual worlds.

• The module involves interactive lectures with exercises to integrate theoretical knowledge with practical design and analysis skills.
• Contemporary scientific publications from Information Systems, Management, and Computer Science are discussed in class.
• The NetLogo software is used to model and simulate autonomous design agents.
• Further software tools may be used throughout class.

After successful completion of the course, students will

Professional competence

• understand the main concepts, theories, and methods related to autonomous design tools
• understand the applications for autonomous design tools in different industries

Methodological competence

• be able to apply central concepts and methods to relevant areas of application
• be able to identify areas of improvement using new technologies
• be able to analyse examples and provide recommendations in design practice

Social competence

• be able to reflect their own experiences in the field of autonomous design tools concerning the presented topics
• be able to work in groups and deal with cases from practice in order to identify and discuss challenges and solutions

Personal competence

• be able to analyse how autonomous design tools change work processes
• possess knowledge to identify areas of improvement or innovation
• be able to apply their knowledge in real-life cases

Technological competence

• be able to develop agent-based models for simulating autonomous design tools

• Students are provided with the lecture slides and supplementary material (e.g., selected journal articles).

Written exam

• This course aims to optimize English language and general communication skills while raising self-awareness to enhance competence. Students will engage in focused information gathering, discussions, and practice. The course covers academic writing skills, negotiations, techniques of persuasion, presentation skills, and decision making. Emphasis is placed on self-reflection and teamwork in a shared learning environment.Key topics covered are:Academic writingPresentation skillsNegotiation techniquesPersuasion and argumentationDecision makingMicro office skillsLanguage developmentSelf-awareness and self-reflection

• Discussions about academic writingFrom theory, key principals, and practical tools to practiceOnline research as the basis for approaching each task

• After successful completion of the course, students willProfessional competenceUnderstand key elements of academic writing.Apply effective presentation techniques.Analyse and conduct successful negotiations.Utilize persuasion and argumentation in business contexts. - Methodological competenceCreate structured academic and business documents.Evaluate and refine presentation skills.Apply negotiation strategies effectively.Develop decision-making frameworks. - Social competenceBuild confidence and assertiveness in business and social contexts.Collaborate effectively in team settings.Network and communicate effectively in diverse environments. - Personal competenceUse self-reflection to enhance communication skills.Understand personal strengths and areas for improvement in communication.Develop self-awareness in various communication contexts.

• Students are provided with lecture slides and supplementary material (e.g., selected journal articles).

Final presentation and report (30 %); Writing tasks (30 %); Class work (20 %); Participation (20 %)

Im Modul Controlling werden die Grundlagen der Kostenrechnung sowie wichtige Inhalte der elementaren Finanzmathematik unterrichtet. Bei der Kostenrechnung geht es um die fixen und variablen Kosten, die Break-even-Analyse, die Divisions- und Zuschlagskalkulation, die Deckungsbeitragsrechnung und die Normalkostenrechnung. Anschliessend werden Grundlagen für die Erstellung von betriebswirtschaftlichen Statistiken, von Vergleichsrechnungen und Planungsrechnungen dargestellt. Zusätzlich wird in die Cash-Flow-Rechnung eingeführt, indem direkte und indirekte Verfahren beleuchtet werden. Im Rahmen der elementaren Finanzmathematik werden insbes. die Zins- und Rentenrechnung sowie die Anwendung einer nachschüssigen Verzinsung behandelt.

Präsentationen, Fallstudien, Diskussionen

Schriftliche Prüfung (90min)

The content of the course is the analysis of different business models/case constellations at the interface of different competing areas of financial market law, such as banking supervision, asset management and payment services as well as e-money. In addition, reference is made to Liechtenstein's current blockchain regulation.
Furthermore, in the area of asset management, current regulatory developments, such as in the area of sustainable asset management, will be discussed.

Interactive lecture. Lecture, presentations, joint discussion of the presentations

After completing the course, students will be able to discuss business models based on various regulations and develop comprehensible solutions to current legal issues.

See lecture(s) within the module

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

· Students are provided with the lecture slides and supplementary material (e.g., selected journal articles)