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Studies
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Studies
Study Programmes
Why Study with Us
Choosing Your Studies
Plan Your Studies
Application and Admission
All About Your Studies
Questions and Answers
Contact
Back
Professional Education
Current Events
Subject Areas
Formats
Key Benefits You Should Know About
For Companies
Registration and Admission
Guides and Downloads
Back
Research
Research Profile
Research Output
Research Funding
Knowledge and Technology Transfer
Back
University
Organisation
About the University
International Office
Library
Services and Support
Working at the University
University in Dialogue
Alumni
Location and Directions
Back
News and Events
News
Events
Blog
Newsletter
Back
Study Programmes
BSc Architecture
BSc Business Administration
MSc Architecture
MSc Entrepreneurship, Innovation and Leadership
MSc Innovative Finance
MSc Information Systems
Doctoral Programme Architecture
Doctoral Programme Business Economics
Doctoral Programme Business Law
Professional Education
Back
Choosing Your Studies
Information Sessions
Education Fairs
School Workshops
Student Ambassadors
Back
Plan Your Studies
Studying and Working
Housing and Residence
Study Costs und Funding
Elite Sport and Studying
Studying without barriers
Back
All About Your Studies
Welcome
Study Organisation
Advisory and Support
Student Life
Back
Subject Areas
Architecture
Entrepreneurship and Management
Finance and Economics
Information Systems, AI and Digitalisation
Business Law and Taxation
Topics in Focus
Back
Formats
Master´s Programmes MBA and LL.M.
CAS and Diploma Programmes
Certificate Programmes
Compact Professional Education and Events
Back
Guides and Downloads
Registration and Admission
Hoi - Welcome
Contact
Back
Research Profile
Research and Knowledge Transfer Projects
Research Topics
Research Units
Back
Research Output
Publications
Presentations
Research Awards
Back
Research Funding
Research Strategy
Early Career Support
Funding Instruments
Grants Office
Back
Organisation
Bodies and Committees
Liechtenstein School of Architecture
Liechtenstein Business School
Liechtenstein Business Law School
Quality Management
Back
About the University
Identity
Fields of Activity
History
Annual Reports
Memberships and Partnerships
Equal Opportunities and Diversity
Back
International Office
Incomings
Outgoings
Staff Mobility
Erasmus+
Partnerships
Partner Universities
Scholarships
Back
Library
Search and Access
Studying and Working
Research and Publishing
Subjects and Databases
Advice and Training
Back
Services and Support
Legal Resources
Cafeteria
Room Rental
Welcome Desk
Back
Working at the University
Vacancies
Appointment Procedure
Health
Back
University in Dialogue
Campus Talks
Dies Academicus
Children’s University
University Ball
Back
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Chapter
Reunion
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Methodological Competence
siehe Modulbeschreibung
Professional Competence
siehe Modulbeschreibung
Personal Competence
nehmen die eigene Lernfähigkeit und Lernbereitschaft wahr.
kommunizieren selbstständig, reflektieren ihr eigenes Handeln und nehmen eine richtige Selbsteinschätzung vor.
übernehmen durch ihre Selbstdisziplin, Flexibilität und Zielorientierung Verantwortung wahr.
zeichnen sich durch Einsatzfreude, Pflichtbewusstsein und Zuverlässigkeit aus.
vertreten ihre Selbstständigkeit und Selbstmotivation und beeinflussen dadurch in positiver Weise ihren Leistungswillen.
Methodological Competence
are able to apply methods and models in relation to digitization to contemporary problems
are able to analyze and evaluate platform based business models
solve different assignments with relation to the the methods learnt
evaluate the developed solutions regarding its applicability and its reasonableness
Professional Competence
are able to describe fundamental concepts of digital markets
can describe the impact of digitization on business models, value creation, organizations and society
understand platform ecosystems and their dynamics
can describe the role of IT in the development of platform based ecosystems
can make predictions of future developments of digital businesses & platforms
provide proper argumentation for the solution path chosen in the assignment
Personal Competence
repeat the contents of lectures and exercises in a self-organized way
assess their own learning progress during lectures
identify their own strengths and weaknesses
tolerate different opinions and working styles
listen carefully, read and repeat, practice until they understand the logic and mathematics behind models
work together and motivate other students who tend to give up as a reaction to the difficulty
Social Competence
pitch solutions to fellow students
argue in favor of and against candidate solutions
defend their stance in discussions
understand and critically discuss the arguments of fellow students.
Methodological Competence
know methods in decision theory
know key concepts of experimental research approaches to test market and trader behavior
use methods and models on unknown decision situations.
calculate optimal solutions and equilibria
compare different methods for measuring and controlling risk and uncertainty in decision processes
evaluate decision methods in mini cases and find appropriate models for solving typical problems
are able to identify Nash Equilibria in simple Prisoner's Dilemma settings
Professional Competence
know the most prominent decision theories
understand how rational solutions may be achieved by using classical decision models
understand the differences between decision under certainty, risk and ignorance
know different levels of market efficiency and their implications
understand how information is processed on financial markets
solve decision problems by using DT models and methods.
find the strategic aspect of a problem and transform it into a simplified problem.
can explain non-cooperative game theory
analyze decision situations.
evaluate Investments with EUT, MV and PT, explain and interpret the assumptions of these
Personal Competence
repeat the contents of lectures and exercises in a self-organized way
assess their own learning progress during lectures
identify their own strengths and weaknesses
tolerate different opinions and working styles
listen carefully, read and repeat, practice until they understand the logic and mathematics behind models
work together and motivate other students who tend to give up as a reaction to the difficulty
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