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«Masterstudium Business Informatics an der Technischen Universität Wien Studienplan 2011 in der Fassung vom Juni 2013 Gültig ab 1. Oktober 2013 ...»

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• Model evolution: Notions and denitions; metamodel evolution and model coevolution; metamodel evolution and transformation co-evolution; parallel model evolution

Expected Prerequisites:

The contents of the bachelor modules INT/PRO - Programmkonstruktion, INT/SEP Software Engineering und Projektmanagement, and WIN/MOD - Modellierung.

Teaching and Learning Methods and Adequate Assessment of Performance: The module is organized along lectures, labs, and practical exercises in small groups.

Courses of Module:

6.0/4.0 VU Model Engineering Innovation Implementation ECTS-Credits: 6.0 Summary: This is the third module out of four. It focuses on the implementation of innovations. It comprises practical aspects such as legal, nancial, and social issues, which are complementary to and often critical for the innovation process.

Learning Outcomes:

Knowledge:

• Funding aspects of innovation

• Legal and nancial issues of company creation

Skills:

• Company foundation

• Enterprise expansion

Competences:

• Handling of conicts and crises Syllabus: Students will learn what to take care of when founding a new company or

when expanding an existing enterprise. The module comprises the following issues:

• Company foundation: Legal issues and funding

• Enterprise expansion: Organizational and technical aspects

• Finance and venture capital

• Decision making, conict, and crisis management

Expected Prerequisites:

Knowledge:

• Innovation theory and management

• Understand the commonalities and dierences of a variety of innovation cases

Skills:

• Formulate and present business ideas

• Conduct innovation of processes, products, and services in and outside existing enterprises

• Methods and techniques to translate ideas into solid business plans

Competences:

• Methods and techniques to foster creativity

• Interaction and cooperation with highly creative people and teams, accepting also critiques

• Understand the non-linearity of innovation from a variety of innovation cases The prerequisites are conveyed in the modules Innovation and Creativity, Innovation Planning.

Obligatory Prerequisites: Innovation and Creativity, Innovation Planning.

Teaching and Learning Methods and Adequate Assessment of Performance: Blended learning: Lectures, self-study, labs, seminars, expert panels, and work in project groups.

Courses of Module:

2.0/1.5 VU Legal issues and funding 2.0/1.5 VU Finance and venture capital 2.0/1.5 VU Management of conicts Innovation Planning ECTS-Credits: 6.0 Summary: This is the second module out of four. Students will learn to formulate business plans, as well as to discuss selected innovation cases.

Learning Outcomes:

Knowledge:

• Business model and plan.

• Understand the commonalities and dierences of a variety of innovation cases.

Skills:

• Conduct innovation of processes, products, and services in and outside existing enterprises.

• Methods and techniques to translate ideas into solid business plans.

Competences:

• Interaction with highly creative people and teams.

• Understand the non-linearity of innovation from a variety of innovation cases.

Syllabus: Students will learn to plan the translation of their innovationwithin a company or a start-up. This will also include cases of successfull and non successfull innovations.

Issues treated are:

–  –  –

• Product and service description (USP)

• Market and competition

• Marketing, price, and distribution

• Realisation plan, nancial planning

–  –  –

Expected Prerequisites:

Knowledge:

• Innovation theory and management

• Creativity techniques

Skills:

• Formulation of business ideas

Competences:

• Methods and techniques to foster creativity

• Interaction and cooperation with highly creative people and teams, accepting also critiques The prerequisites are conveyed in the module Innovation and Creativity.

Obligatory Prerequisites: Innovation and Creativity.

Teaching and Learning Methods and Adequate Assessment of Performance: Blended learning: Lectures, self-study, labs, seminars, expert panels, and work in project groups.

Courses of Module:

3.0/2.0 VU Business Plan 3.0/2.0 VU Innovation Cases Innovation Practice ECTS-Credits: 12.0 Summary: This is the fourth and last module. Within a project, students will work on a concrete innovation task.

Learning Outcomes:

Knowledge:





• Consolidate and strengthen the innovation knowledge in a real innovation case implementation.

Skills:

• Experience and reect social and organizational aspects.

• Practice innovation transfer and university-company cooperation.

Competences:

• Complex interaction with multiple stakeholders within and outside the university.

• Practice management of conicts and crises.

Syllabus: The innovation project provides exibility and ways to specialize:

• Specialization at the students' option.

• Small groups or individual work possible.

• Internship possible.

• Company cooperation possible.

• International cooperation possible.

Expected Prerequisites:

Knowledge:

• Innovation theory and management.

• Creativity techniques.

• Business model and plan.

• Understand the commonalities and dierences of a variety of innovation cases.

• Understand the legal, nancial, and organizational aspects of innovation implementation.

Skills:

• Formulate and present business ideas.

• Conduct innovation of processes, products, and services in and outside existing enterprises.

• Methods and techniques to translate ideas into solid business plans.

• Company foundation and enterprise expansion.

Competences:

• Methods and techniques to foster creativity.

• Interaction and cooperation with highly creative people and teams, accepting also critiques.

• Understand the non-linearity of innovation from a variety of innovation cases.

• Handling of conicts and crises.

The prerequisites are conveyed in the modules Innovation and Creativity, Innovation Planning, Innovation Implementation.

Obligatory Prerequisites: Innovation and Creativity, Innovation Planning, Innovation Implementation.

Teaching and Learning Methods and Adequate Assessment of Performance: Highly interactive and proactive group work with a nal presentation.

Courses of Module:

12.0/4.0 PR Innovation project Innovation and Creativity ECTS-Credits: 6.0 Summary: This is the rst module out of four, as such it represents the entry point to the innovation modules. Students should have interest in innovation, and prove their excellent progress in their bachelor and master studies. At the end of this module they should know the basic concepts of innovation as well as the respective creativity techniques. The module contains subjects such as innovation theory and management, and focuses on the importance of innovation for businesses and society. It will also introduce creativity techniques and ways to explicitely formulate business ideas.

Learning Outcomes:

Knowledge:

• Innovation theory and management.

• Creativity techniques.

Skills:

• Formulation of business ideas.

Competences:

• Methods and techniques to foster creativity.

• Interaction with highly creative people and teams.

Syllabus: This modules aims to enable the students to foster and formulate ideas:

• Innovation theory, innovation management, innovation and society (3 Ects).

• Creativity techniques, dynamism, formulate ideas of innovation projects as prerequisite for business plans (3 Ects).

Expected Prerequisites:

Knowledge:

• Knowledge in Computer Science and/or Business Informatics.

Skills:

–  –  –

Competences:

• Strong committment.

Obligatory Prerequisites: A two-stage admission procedure is conducted during the rst semester of the respective main master study in informatics or business informatics.

Teaching and Learning Methods and Adequate Assessment of Performance: Blended learning: Lectures, self-study, labs, seminars, expert panels, and work in project groups.

Courses of Module:

3.0/2.0 VU Foundations of innovation 3.0/2.0 PR Creativity and ideas MTD/MAS - Master Thesis ECTS-Credits: 30.0 Summary: Die Diplomarbeit ist eine wissenschaftliche Arbeit, die dem Nachweis der Befähigung dient, ein wissenschaftliches Thema selbstständig inhaltlich und methodisch vertretbar zu bearbeiten. Das Prüfungsfach Diplomarbeit, bestehend aus der wissenschaftlichen Arbeit und der kommissionellen Gesamtprüfung, wird mit 30.0 ECTSPunkten bewertet, wobei der kommissionellen Gesamtprüfung 3.0 Ects zugemessen werden. Das Thema der Diplomarbeit ist von der oder dem Studierenden frei wählbar und muss im Einklang mit dem Qualikationsprol stehen.

MTD/SEM - Seminar for Master Students ECTS-Credits: 3.0 Summary: This module supports research work of master students during their master thesis.

SBA/AEE - Advanced Economics - Evolutionary Economics ECTS-Credits: 6.0 Summary: This module presents selected advanced topics in economic theory, which are particularly suited to be supported by simulation methods. Many of these topics can be summarized under the overarching concept of evolutionary economics. The respective lecture provides an introductory overview  both from a historical perspective as also from a technical perspective  of evolutionary economic theory. It builds on an already assumed knowledge of standard macroeconomics of the audience. The seminar complements this more general survey by providing a detailed study of a sample of particularly successful models of agent based modeling in the social sciences. In particular modeling techniques concerning heterogeneous model-building agents are discussed.

Learning Outcomes:

Knowledge:

• Knowledge about alternative economic approaches to understand the economy

• Knowldge about classic evolutionary (economic) theory (Malthus, Darwin, Veblen, Schumpeter, Winter, Wilson) as well as modern approaches using computational social simulation  especially agent based simulation

Skills:

• Knowledge about the limitations of economic models as well as alternative modelling methods

• Ability to understand, condense, summarize, and present economic scientic research papers, especially in the eld of computational economics

Competences:

• Deepening the own knowledge

• Enhancement of personal initiative and responsibility

• Developing scientic interest

• Ability to present scientic results

Syllabus:

• Evolutionary economics: Introduction and overview of evolutionary economics; some classics on evolution (Malthus, Darwin, Veblen, Schumpeter, Winter, Wilson);

Richard Day's Malthus Model; Schumpeterean models in endogenous growth theory; Schumpeterean approaches of the Goodwin School; alternative new non-linear models of evolutionary theory; the origin of life  models of self-organization in bio-chemistry and mathematics; the role of pattern recognition and internal model building; heterogeneous agent based simulation and new game theory (Minority Games); recent discussions on the foundations of evolutionary economics; policy implications of evolutionary economics

• Computational economics: A yearly changing set of current research papers on computational economics with an emphasis on agent based simulation is presented and discussed. Seminar reports have to be written by participants.

Expected Prerequisites:

The contents of the modules BAE/INE - Information Economics and Social Simulation and BIN/MOS - Modeling and Simulation as well as the contents of the bachelor module WIW/GOE - Grundlagen der Ökonomie.

Teaching and Learning Methods and Adequate Assessment of Performance: The module is organized along lectures, seminars with presentation of the results and discussions.

Courses of Module:



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