Masterstudium Business Informatics - Fakultät für Informatik, TU Wien

• Lab: Implementations of concepts, which are important for knowledge-based systems;
implementations of knowledge-based systems; for these implementation task,
languages from AI (e.g., Lisp) and logic-oriented approaches (e.g., answer-set programming)
are used.
Expected Prerequisites: Basic knowledge about propositional and rst-order logic; programming
skills; understanding of algorithms; ability to argue formally and to construct
simple proofs.
Those topics are taught in the bachelor modules WIN/MOD - Modellierung, STW/MAT
- Mathematik und Theoretische Informatik , INT/ADA - Algorithmen und Datenstrukturen
and INT/PRO - Programmkonstruktion.
Teaching and Learning Methods and Adequate Assessment of Performance: The module
is organized along lectures, exercises with presentation of the results and discussions,
lab assignments to solve larger problems and implement solutions.
Courses of Module:
6.0/4.0 VU KBS for Business Informatics
FMF/QOM - Quantative Operations Management
ECTS-Credits: 6.0
Summary: This module deals with quantitative methods used in operations management
as well as with decision analysis by mathematical models and econometric methods.
Theoretical background is assessed by periodic exams. To adopt the skills, students
work out examples and case studies, in class as well as at home.
Learning Outcomes:
Knowledge:
Skills:
• Choose and formulate appropriate models for various operative decision problems
• Apply causal and time series forecasting
• Parameter estimation and model validation
• Students learn to use model-based decision support and adopt an outline of the
practical use in the operative division of organisations.
• Students are able to choose among appropriate methods for analytical and forecasting
purposes, to work with dierent data sets and problem formulations, and
to use the computer to apply discussed methods.
• Students adopt familiarity with elementary econometric methods (linear regression
models, time series approaches), specication and testing.
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