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Soft Computing in Economics

Type of study Follow-up Master
Language of instruction Czech
Code 157-1305/01
Abbreviation SCE
Course title Soft Computing in Economics
Credits 5
Coordinating department Department of Systems Engineering and Informatics
Course coordinator doc. Dr. Ing. Miroslav Hudec

Osnova předmětu

1. Introduction to the theory of learnability
2. Introduction to complexity theory
3. Basics of neural networks
4. SC and statistics
5. Neuro-fuzzy models
6. LSP and soft computing
7. Logical aggregation of SC
8. Basics of evolutionary/genetic algorithms
9. Deep learning
10. Application of artificial neural networks and deep learning for business problems
11. Application of Genetic Algorithms/Evolutionary Algorithms to Business Problems
12. Application of hybrid systems for business problems

E-learning

Students have all relevant presentations from lectures and instructions in LMS Moodle

Povinná literatura

BISHOP, Christopher M. and BISHOP, Hugh. Deep learning: Foundations and concepts. Heidelberg: Springer Nature, 2023. E-book ISBN 978-3-031-45468-4 . https://doi.org/10.1007/978-3-031-45468-4
SIVANANDAM S. and DEEPA S.N. Principles of Soft Computing, 3ed. Delhi: Wiley India, 2018. ISBN 978-8126587445 
TAVANA, Madjid and SOROOSHIAN, Shahryar. A systematic review of the soft computing methods shaping the future of the metaverse. "Applied Soft Computing" 2024 150, 111098

Doporučená literatura

ALIEV, Rafik A. et al. (Eds.). 16th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools--ICAFS-2023 (Vol. 1). Heidelberg: Springer Cham, 2024. ISBN 978-3-031-76282-6 . DOI https://doi.org/10.1007/978-3-031-76283-3
BARUA, Kuntal and CHAKRABARTI, Prasun. Fundamentals of Soft Computing: Theory, Concepts and Methods of Artificial Intelligence, Neurocomputing. Delhi: BPB Publications, 2019. ISBN 978-9386551566 
KUMAR, Nitendra et al. (Eds.). Intelligent Business Analytics: Harnessing the Power of Soft Computing for Data-Driven Insights (Advances in Computational Collective Intelligence). 1st edition. New York: Auerbach Publications, 2025. ISBN 9781003476054 


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