Masterstudium Business Informatics - Fakultät für Informatik, TU Wien

Skills:
• Techniques to analyze the data to create hypotheses and bases for business decisions
• Skills needed to understand complex business processes, interdependencies in data,
and ways to interpret structures detected in data
Competences:
• Work in the multidisciplinary settings required to collect, transform, and interprete
data
• Creating hypotheses and verify these based on the information acquired from different
data sources, employing a range of dierent techniques
Syllabus:
• Business intelligence: Data warehousing; data mining and knowledge discovery;
OLAP; reference architecture of business intelligence; fast analysis of shared multidimensional
information (FASMI); semantic modeling of OLAP solutions and
logic modeling (STAR, SNOWFLAKE); ETL process; predictive and descriptive
rules (classication, regression, association, clustering)
• E-commerce: Basics of e-commerce and e-business and diusion aspects; business
models; IT-Governance; e-strategy and e-marketing; electronic markets and networks;
interorganisational systems; recommender systems; auctions; planing and
implementation of e-commerce systems
• Workow modeling and implementation: Process modeling; workow patterns;
BPMN
• Innovation: Adoption and diusion; invention, innovation and imitation; innovation
examples; innovation process and management; objects and types of innovation;
business ideas, planning and implementation
Teaching and Learning Methods and Adequate Assessment of Performance: The module
is organized along lectures, class room tasks, assignments, and hands-on exercises (alone
or in groups). When appropriate, tools are provided.
Courses of Module:
6.0/4.0 VU Business Intelligence
3.0/2.0 VU E-Commerce
3.0/2.0 VU Workow Modeling and Process Management
3.0/2.0 VU Innovation
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