Introduction to methodology, the basics of research foundations, research philosophies and approaches, development and the implementation and analysis of research projects.

Für die Anmeldung zum Modul Research Methods I müssen die Module Statistik, Wirtschaftsmathematik, English I und wissenschaftliches Arbeiten erfolgreich absolviert sein.

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

• Foundations of Entrepreneurship and Family Firm Research
• New venture creation
• SME management
• Entrepreneurial orientation
• Entrepreneurial mindset
• Opportunity recognition
• Exploration vs. exploitation
• Building Blocks of "Corporate Entrepreneurship" (definitions, general frameworks, differences between Corporate Entrepreneurship and Start-Up Entrepreneurship, process of Corporate Entrepreneurship, forms of Corporate Entrepreneurship)
• Entrepreneurial behavior in family firms

Inskription ab WS23/24
Diese Zugangsvoraussetzungen:

• Für die Anmeldung zu Modulen der Vertiefungsrichtung müssen die Module Statistik, Wirtschaftsmathematik und English I erfolgreich absolviert sein.
• Zusätzlich muss für die Anmeldung zur Vertiefung IME das Modul Strategisches Management erfolgreich absolviert sein.

Inskription vor WS23/24
Entweder obige Zugangsvoraussetzungen oder:

• Für die Anmeldung zu Modulen der Vertiefungsrichtung müssen Module im Umfang von mindestens 45 ECTS Credits aus dem ersten Studienjahr und zusätzlich das Modul English I erfolgreich absolviert sein.
• Wahlfächer bleiben für diese Regelungen vollständig ausser Betracht.

Verlässliche Informationen stellen eine wichtige Basis für alle betriebswirtschaftlichen Entscheidungen dar. Im Rahmen der betrieblichen Rechnungslegung erfolgt eine systematische Erfassung, Überwachung und Verdichtung der der durch den Leistungsprozess entstehenden Geld- und Leistungsströme. Nach einer Einführung in die Technik der Finanzbuchhaltung werden die Erstellung der Gewinn- und Verlustrechnung, der Bilanz und der Kapitalflussrechnung dargestellt, ergänzt um Anhang und Lagebericht. Dabei werden insbesondere die vorhandenen Gestaltungsspielräume genauer behandelt. Die Studierenden lernen dabei auch die verschiedenen Rechnungslegungsstandards und den Trend zur Internationalisierung (IFRS) kennen. Behandelt wird zudem die Bedeutung und die Aufgaben interner Kontrollsysteme (IKS) sowie der externen Revision (Wirtschaftsprüfung).

Präsentationen, Fallstudien, Diskussionen

schriftliche Prüfung

Die Teilnehmenden lernen, volkswirtschaftliche Entwicklungen und deren Einflüsse auf Unternehmen zu erkennen und zu beurteilen. Sie erarbeiten sich ein fundiertes Grundwissen und setzen sich mit aktuellen Entwicklungen auseinander. Das Modul vertieft die grundlegenden Konzepte aus der Mikro- und Makroökonomie und behandelt gesamtwirtschaftliche Entwicklungsprozesse (Konjunktur, Wachstum, Strukturwandel) einschliesslich der Geldpolitik (Nationalbank, Inflation, Geldmengensteuerung, Wechselkurs). In der Betrachtung von gesamtwirtschaftlichen Prozessen wird auf die Analyse von technischem Fortschritt in der Ökonomie (Technische Pfadabhängigkeit, technologische Trajektorien, Technologiepolitik) eingegangen.

Präsentationen, Fallstudien, Diskussionen

schriftliche Prüfung

basics of crossmedia, analysis and planning of crossmedia projects, texting for online media, linkage of print and online textes, spontaneous producing of vidos for the www

• geben die Relevanzkriterien wieder
• erkennen relevante Themen für Redaktionssitzungen div. Medien und anschliessend Treatments
• verfassen Berichte ohne die eigene Meinung einfliessen zu lassen und ohne zu werten
• analysieren di. Texte aus Spiegel, Blick usw. auf objektive/wertende Berichterstattung

-erarbeiten Themen, die am nächsten Tag in Lokalmedien publiziert werden müssten und beobachten täglich, welchen dieser besprochenen Themen tatsächlich Eingang in die Berichterstattung gefunden haben

• wählen objektive und relevante Kriterien für neutrale Berichte aus

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

The following conditions need to be met prior to registering for the module:

• successful completion of the module "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

see Beurteilung

Grading

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

cross-faculty course:
Rules for registration: 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

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

Written exam