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Soft Computing in Economics

Soft Computing in Economics
157-1305/01
čeština Soft Computing in Economics
157-1305/02
čeština

Summary

Students will be able to understand soft computing theory and how to apply in economics. Students will be able to recognize the properties of key soft computing concepts, recognize the right methods and integrate them. Students will also be able to discuss specific tasks, data preparation, selection of a suitable SC method, implement them and explain the results.

Literature

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

Advised literature

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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Language of instruction čeština, čeština
Code 157-1305
Abbreviation SCE
Course title Soft Computing in Economics
Coordinating department Department of Systems Engineering and Informatics
Course coordinator doc. dr hab. Maria Antonina Mach-Król