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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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3.0/2.0 VU Managing People and Organizations 3.0/2.0 VU Organization Theory SBA/ORM - Operations Research Methods ECTS-Credits: 6.0 Summary: This module covers important algorithmic techniques for problem solving and optimization from the domain of operations research. Included are in particular mixed integer programming methods and (meta-)heuristic algorithms as well as dedicated methods for the domain of transport optimization. A lecture covers the theoretical background, theoretical and practical exercises, including programming examples, deepen the knowledge.

Learning Outcomes:

Knowledge:

• Knowledge of exact and heuristic optimization algorithms

• Prominent problems from the domain of transport optimization

Skills:

• Modeling operations research problems

• Designing and implementing suitable optimization algorithms

Competences:

• Development of new algorithmic approaches Syllabus: Prominent problems in transport logistics, such as vehicle routing problems, facility location, assignment problems; constructive heuristics; local search based methods;

simulated annealing; Tabu search; variable neighborhood search; very large scale neighborhood search methods; population based heuristics; evolutionary algorithms; mixed integer programming; branch-and-cut; branch-and-price Teaching and Learning Methods and Adequate Assessment of Performance: The module is organized along lectures, theoretical and practical exercises including programming examples.

Courses of Module:

3.0/2.0 VU Optimization Techniques in Transport Logistics 3.0/2.0 VU Heuristic Optimization Techniques SBA/STM - Strategic Management and Innovation ECTS-Credits: 6.0 Summary: This module introduces strategic management and innovation theory. Students are enabled to perform strategic analysis as a basis for rational choice among and evaluation of alternative courses of action. Furthermore they gain understanding of the innovation process and success factors for the diusion of innovations. The theoretical background and core concepts are provided in lectures and deepened in exercises, case studies, and reports.

Learning Outcomes:

Knowledge:

• Strategic analysis and strategic management

• Innovation management and innovation strategies

Skills:

• Ability to formulate and evaluate strategic alternatives and skills in the usage of strategy formulation tools and techniques

• Ability to benchmark technological innovations and to plan innovation processes within enterprises

• Ability to critically discuss and evaluate alternative or conicting theories and concepts

Competences:

• Discussion and feedback competencies

Syllabus:

• Organizational decision making investigates the design of organizational structures and processes from a decision-theoretic-economic perspective. Decision theory regards organizations as systems of distributed decision making where interdependent decisions are allocated with many individuals. Based on individual decision making we analyse how problems of coordination and motivation arize from this division of labor among organization members. The necessary methodological basics for the analysis of organizational problems is provided in form of lectures and readings. Building on decision, team, game and principal-agent theory specic problems of hierarchical organizations (especially problems of asymmetric information between economic agents on dierent hierarchical levels) are discussed theoretically as well as in exercises and experiments.

• Strategic management provides the fundamentals of strategic management as well as current developments in research and practice. One focus is the strategic management process (strategic analysis, strategy formulation, implementation and control) as well as tools to facilitate this process. On the other hand the causes of sustainable competitive advantage of rms are examined incorporating and critically discussing competing theoretical approaches of explanation. Students deepen their understanding by exercises on strategic management tools and reports on seminal contributions to the eld.

• Innovation theory deals with innovation processes on enterprize level, innovation strategies, diusion of innovation, critical factors for successful innovations and innovation management. The aim of the course is to raise awareness of incentive systems in the eld of innovation. Based on case studies and discussions of theoretical approaches, students learn how to measure performance and establish instruments of innovation management.

Expected Prerequisites: Basic knowledge in the management of socio-economic systems and mathematics. Skills in analytical and synthetical evaluation of complex socioeconomical phenomena, the ability to critically discuss and evaluate alternative or conicting theories and concepts, and basic management skills.

Those topics are taught in the module BAE/MGT - Management.

Teaching and Learning Methods and Adequate Assessment of Performance: The module is organized along lectures, reading assignments, seminal contributions in form of short reports, exercises and analysis of case studies, experiments, group discussions.





Courses of Module:

3.0/2.0 VO Innovation Theory 3.0/2.0 VU Strategic Management SBI/BTD - Beyond the Desktop ECTS-Credits: 6.0 Summary: Graphical user interfaces (GUI) with their traditional input and output devices are nowadays the most used interaction environments. Besides their unavoidable existence they still lack on exibility in user interaction, especially if it comes to certain groups of users like children, elderly, or humans with special needs. Tangible user interfaces and objects, mobile platforms, ubiquitous computing, embedded sensors and displays, large multitouch systems, or gestural interaction are some example technologies, which have already started to change and enhance the ways of communication and interaction between people in our society. This module deals with these alternative technologies with their multimodal interfaces as add-ons or replacement for conventional mouse and keyboard based graphical user interfaces. After having lecture-based input on alternative ways for interaction with computers, students will choose one technology and design a prototype in a group, for a given setting with specied users before they present their results.

Learning Outcomes:

Knowledge:

• Knowledge about design and development of architectures, technologies, and systems as alternatives to graphical user interfaces

• Knowledge about use contexts and case studies of such alternatives

Skills: Design and prototyping of a system based on one of the following technologies:

• Tangible user interfaces and design of tangible objects

• Mobile platforms

• Ubiquitous computing

• Embedded sensors and displays

• Large multitouch systems

• Gestural interfaces

Competences:

• Innovation in design and prototyping of alternative interaction interfaces

–  –  –

Syllabus:

• Alternatives to graphical user interfaces (GUI): architectures, technologies, systems, use contexts, case studies: Tangible user interfaces and design of tangible objects; mobile platforms; ubiquitous computing; embedded sensors and displays;

large multitouch systems; gestural interfaces

• Design and prototyping of a system based on one of the technologies listed above Expected Prerequisites: Knowhow and skills about design methodologies for design and prototyping as well as programming skills.

Teaching and Learning Methods and Adequate Assessment of Performance: The module is organized along lectures, design and presentation of a prototype in a group.

Courses of Module:

6.0/4.0 VU Beyond the Desktop SBI/EC1 - Services and Communities ECTS-Credits: 6.0 Summary: This module deals with the issues of business services, service systems, service design and marketing as well as with services in online communities. It introduces new approaches in e-commerce to integrate customers into the process of developing new innovative services and products by applying social media. History and success criteria for social and other service systems are treated as well. The courses are organized along lectures, classroom tasks, assignments, and hand-on exercises. Sometimes tools are applied.

Learning Outcomes:

Knowledge:

• Methods and tools for service marketing and design

• Formal representation of services

• Automation of service composition

Skills:

• Analysis of complex service systems

• Modeling of service systems

Competences:

–  –  –

Syllabus:

• Service design, management, and composition: Service science; service design; service marketing; service-dominant logic; service modeling; service ontologies; service systems; virtual enterprizes; business rules and objectives; service legal agreements;

service discovery and composition

• Social media: History and usage of social media; mechanisms for community building; implications of social media for personal and commercial use; information privacy; Web 2.0 technologies Teaching and Learning Methods and Adequate Assessment of Performance: The module is organized along lectures, classroom tasks, assignments, and hands-on exercises.

Sometimes tools are applied.

Courses of Module:

3.0/2.0 VU Service Design, Management and Composition 3.0/2.0 VU Social Media SBI/EC2 - Web: Analysis and Search ECTS-Credits: 6.0 Summary: This module deals with the World Wide Web in terms of analysis of usage and structure of the search for Web-based information. The formal basis and methods of network theory are provided. This knowledge is then applied with the help of special tools and social network analysis software. Principles of information description and search technologies are described in the context of the World Wide Web. Current trends in personalisation and recommendation are illustrated. The module provides the participants with an understanding of network analysis, machine learning for Web data analysis, understanding of functionality and improvement of Web search techniques, and a discussion of current research topics in Web Science and Web Search. The didactic concept of this module comprises lectures, group discussions, project work, and project presentations.

Learning Outcomes:

Knowledge:

• Understanding of the theoretical concepts of network analysis

• Understanding the complexity of the WWW

• Application of machine learning approaches to Web data analysis

• Approaches to improve search results

• Identication and discussion of open research topics

Skills:

• Usage of network analysis tools

• Solving of practical data analysis problems

• Identifying pitfalls in information presentation

• Interdisciplinary thinking

Competences:

• Problem solving in group situations

• Self-organization and time management

• Reection, assessment, analysis and presentation of alternatives

• Presentation and discussion of practical data analysis problems

Syllabus:

• Web science: Graph theory; centrality measures; network models; power laws and scale-free graphs; social network analysis; information networks and the World Wide Web

• Information search on the Internet: Information retrieval basics; history and anatomy of Web search engines; search engine evaluation; search engine optimization;

recommender systems; special purpose search engines Expected Prerequisites: Algebra and analysis, statistical data analysis Teaching and Learning Methods and Adequate Assessment of Performance: The module is organized along lectures, group discussions, project work, and project presentations.

Courses of Module:

3.0/2.0 VU Web Science 3.0/2.0 VU Information Search on the Internet SBI/KM1 - Knowledge Management ECTS-Credits: 6.0 Summary: This module deals with the management of implicit and explicit knowledge in enterprizes and other organizations. It considers organizational, cultural, strategic, and operational issues of knowledge management. The module covers strategic as well as operational knowledge management methods and tools. Students learn how to analyze, design, operate, and control the required knowledge in an organization.

Learning Outcomes:

Knowledge:

• Strategic decision making

• Knowledge-based organizations

• Organizational learning

• Competence management

• Knowledge representation

–  –  –

• Knowledge sharing

• Innovation of knowledge processes Syllabus: Objectives and problems of knowledge management in enterprizes and other organizations; process model for knowledge management; competence management; methods and systems for knowledge management; knowledge acquisition and engineering;

knowledge representation; social software systems; machine learning Teaching and Learning Methods and Adequate Assessment of Performance: The module is organized along lectures, assignments, and hands-on exercises (alone or in groups).

When appropriate, tools are provided.

Courses of Module:



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