Systems Engineering and Informatics

Type of study	Doctoral
Language of instruction	Czech
Code	157-0998/01
Abbreviation	SII
Course title	Systems Engineering and Informatics
Credits	10
Coordinating department	Department of Systems Engineering and Informatics
Course coordinator	prof. Ing. Jana Hančlová, CSc.

Subject syllabus

The subject is divided into two logical blocks:

A. Mathematical modeling:
- System approach and mathematical modeling.
- Modeling using Data Envelopment Analysis (DEA).
- Non-linear models and their solvability.
- Stochastic programming (optimization with random parameters (static models, dynamic), static vs. dynamic risk measures).
- Mathematical programming with parameters/relations in the form of fuzzy sets.

B. Information and knowledge systems for decision support:
- Approaches to solving strategic problems.
- Concepts of gaining strategic advantage with IT.
- Architecture of business intelligence concepts, modeling of multidimensional data warehouse, data pumps, integration of data from heterogeneous sources, competitive intelligence.
- Soft computing methods (fuzzy logic, neural networks, evolutionary algorithms, colonies, rough sets).
- Learning from data, machine learning and its understanding.

E-learning

the study materials are in LMS Moodle, Teams

Literature

BIRGE, John R. a LOUVEAUX, François. Introduction to Stochastic Programming. 2nd ed. Springer Series in Operations Research and Financial Engineering. New York: Springer, 2011. ISBN 978-1-4614-0236-7.
HUDEC, Miroslav. Fuzziness in Information Systems: How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization. Cham: Springer, 2016. ISBN 978-3-319-42516-0.
JANA, Chiranjibe; PAL, Madhumangal; MUHIUDDIN, Ghulam a LIU, Peide. Fuzzy Optimization, Decision-Making and Operations Research: Theory and Applications. Cham: Springer, 2023. .

Advised literature

SAKAWA, Masatoshi; YANO, Hitoshi a NISHIZAKI, Ichiro. Linear and Multiobjective Programming with Fuzzy Stochastic Extensions. International Series in Operations Research & Management Science. New York: Springer, 2013. ISBN 978-1-4614-9398-3.
SILER, William a BUCKLEY, James J. Fuzzy Expert Systems and Fuzzy Reasoning. Hoboken: John Wiley, 2005. .
VAISMAN, Alejandro a ZIMÁNYI, Esteban. Data Warehouse Systems: Design and Implementation. Data-Centric Systems and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. Dostupné z: https://doi.org/978-3-642-54655-6.

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