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Research Methods I (IMIT)

Research Methods I (IMIT)

Module Coordinator/Lecturers
Study Programmes
Bachelor's degree programme in Business Administration
Project Description
Introduction to methodology, the basics of research foundations, research philosophies and approaches, development and the implementation and analysis of research projects.
Requirements (formal)
To register for the Research Methods I module, students must have successfully completed the Statistics, Business Mathematics, English I and Scientific Working modules.
Grade
The successfull completion of this module is necessary for registering in the Module Research Methods II.
Module number:
6111771
Semester:
SS 26
ECTS Credits:
3
Courses:
28 L / 21 h
Self-study:
69 h
Language:
English
Scheduled Semester:
4

Research Colloquium with Discussion (ECO & FIN)

Research Colloquium with Discussion (ECO & FIN)

Study Programmes
Doctoral degree programme in Business Economics
Project Description
  • The purpose of this course is twofold: First, invited talks by researchers from other institutions (and, occasionally, from the University of Liechtenstein) bring students in touch with cutting-edge research in their field. Second, students learn how to give an academic discussion of a paper using one of the talks as an example. The discussion will be delivered immediately after the talk in the research colloquium, and students will receive feedback on their performance. Our goal is to provide research colloquia for all specializations, but the course may not be offered for all specializations in each academic year. Students from two specializations may be gathered into one colloquium for organizational reasons. Key topics covered are: Current research in business economics Structure and content of an academic paper discussion
Teaching Method
Presentations, discussions with feedback.
Learning Results
  • After successful completion of the course, students will Professional competence Prepare and deliver a discussion of a research paper at a research seminar. - Social competence Interact with scientists in different phases of their career. Formulate critical questions in a neutral and professional manner. - Personal Competence Reflect on one’s own performance and professional behavior.
Grade
For the specialisations in Economics and Finance the module is offered as part of the Finance Research Seminar. The module coordinator for ECO and FIN is Assistant Prof Dr Sebastian Stöckl. Please register for the desired module directly in the module.

Finance Research Seminar

For the specialisations in Entrepreneurship and Management and Information Systems the module is not offered internally at the moment. The process flow for external modules can be found on
uni.li/legal. It is not possible to register directly for the desired module here. The module coordinator for ENT and IS is Prof Dr Michael Hanke. If you have any further questions, please contact doktorat@uni.li.
Module number:
6112278
Semester:
SS 26
ECTS Credits:
2
Courses:
14 L / 11 h
Self-study:
50 h
Language:
English
Scheduled Semester:
3-6

Enterprise Systems (VT IMIT)

Enterprise Systems (VT IMIT)

Module Coordinator/Lecturers
Study Programmes
Bachelor's degree programme in Business Administration
Project Description
  • Benefits of Enterprise Systems
  • Life-Cycle of Enterprise Systems (esp. design and implementation, success factors, knowledge transfer, and training)
  • Enterprise Resource Planning Systems (especially in the area of Financial Accounting, Management Accounting, Procurement, Manufacturing, and Sales and Distribution).
  • Customer Relationship Management (esp. Strategies in CRM, Tools and Methods, components of CRM systems).
  • Supply Chain Management (Logistics, Warehousing)
  • Latest technological developments (esp. In-Memory-Computing, Cloud-Computing, Mobile Devices)
  • Case Study: Enterprise Processes in SAP
Teaching Method
Lecture
Requirements (formal)
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 module Information Systems must have been successfully completed in order to register for the IMIT specialization.

Enrollment before WS23/24
Either the above admission requirements or:
  • To register for modules in the specialization, modules worth at least 45 ECTS credits from the first year of study and, in addition, the module English I must have been successfully completed.
  • Elective courses are not taken into account at all for these regulations.
Module number:
6110810
Semester:
SS 26
ECTS Credits:
3
Courses:
28 L / 21 h
Self-study:
69 h
Language:
English
Scheduled Semester:
4

AI4Business: Intelligent Tools for Entrepreneurial Success (CE)

AI4Business: Intelligent Tools for Entrepreneurial Success (CE)

Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Entrepreneurship, Innovation and Leadership
Project Description
Dieses Modul vermittelt einen praxisnahen Überblick über den Einsatz von Künstlicher Intelligenz im unternehmerischen Kontext. Behandelt werden zentrale AI-Konzepte (z. B. Machine Learning, Natural Language Processing, Generative AI), deren Anwendung in Geschäftsmodellen, Marketing, Produktentwicklung, Kundenanalyse, Automatisierung und Entscheidungsunterstützung. Die Studierenden lernen relevante AI-Tools und Plattformen kennen und wenden diese auf konkrete unternehmerische Problemstellungen an. Dazu zählen u.a. Marktanalyse, Ideenvalidierung, Business Model Innovation, Content-Generierung, Customer Journey Mapping und Prozessoptimierung. Zudem werden ethische, rechtliche und gesellschaftliche Implikationen von AI im Wirtschaftsbereich kritisch reflektiert.
Teaching Method
  • Interaktive VorlesungsimpulsePraxisorientierte Tool-DemosFallstudien & Best PracticesGruppenarbeiten & WorkshopsProjektarbeit mit realen/realitätsnahen Business-CasesPitch-PräsentationenReflexionsaufgaben (individuell)
Assessment Methods
Präsentation (60 %) Gruppenarbeit (40%)
Module number:
6112674
Semester:
SS 26
ECTS Credits:
3
Courses:
27 L / 21 h
Self-study:
70 h
Language:
German/English
Scheduled Semester:
2

Master's thesis

Master's thesis

Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems (MSc WI)
Project Description
In their Master’s Thesis, students use scientific methods and work in accordance with standards of scientific writing. The master's thesis is typically related to one of the four subject areas that constitute the core of the curriculum (i.e., Business Process Management, Data and Application Security, Data Science, and Digital Innovation).
Teaching Method
  • The thesis is assessed by a faculty member from the Institute of Information Systems (professor, assistant professor, visiting professor or senior lecturer).The thesis is presented and defended in an oral examination. The examination committee is composed of the Academic Director, another faculty member, and an external expert appointed by the Vice-Rector for Teaching.The time for producing the completed thesis is defined on the thesis proposal (“exposé”) and may not exceed 22 weeks.
Learning Results
  • After successful submission of the master's thesis, students will have demonstrated their ability to plan, execute and manage research projects autonomously.
Module number:
6110682
Semester:
SS 26
ECTS Credits:
27
Courses:
5 L / 4 h
Self-study:
806 h
Language:
English
Scheduled Semester:
4

AI Management, Strategy & Governance (CE-AI)

AI Management, Strategy & Governance (CE-AI)

Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems (MSc WI)
Project Description
Students will explore how to establish effective governance frameworks that enable businesses to leverage AI while managing risks. The curriculum also delves into strategic planning for generative AI, illustrating its potential to revolutionize business models and enhance operational efficiency. Additionally, students will learn about trans-forming companies towards AI companies, including changing organizational culture to thrive in the AI era. Key points are:

• Data and AI governance: Frameworks for businesses for seizing opportunities while mitigating risks
• Data and AI strategy with focus on Generative AI
• AI Transformation: Leading a company into the AI area
• Ethical considerations in AI
Teaching Method
• The course involves interactive lectures with exercises to integrate theoretical knowledge with practical design and analysis skills.
Learning Results
After successful completion of the course, students will

Professional competence
• Gain an understanding of how AI can be integrated into business strategies and operations effectively and ethically.

Methodological competence
• Develop skills in designing and implementing AI governance frameworks and strategies that align with business goals and ethical standards.

Social competence
• Learn to navigate the ethical, social, and cultural challenges associated with AI technologies in a work-place, fostering responsible AI use.

Personal competence
• Enhance critical thinking and ethical reasoning abilities in the context of AI deployment and management.

Technological competence
• Understand implications and handling of weaknesses and strengths of AI technology
Assessment Methods
Written exam
Module number:
6112342
Semester:
SS 26
ECTS Credits:
3
Courses:
28 L / 21 h
Self-study:
69 h
Scheduled Semester:
2

Research Semester: Search for Circularity (BH&U)

Research Semester: Search for Circularity (BH&U)

Study Programmes
Master's degree programme in Architecture (MSc AR)
Project Description
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.

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?
Teaching Method
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.
Assessment Methods
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%).
Grade
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.
Module number:
6112335
Semester:
SS 26
ECTS Credits:
12
Courses:
24 L / 18 h
Self-study:
342 h
Language:
English
Scheduled Semester:
3
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