Leadership – Training of Military Specialists in Particular Disciplines Focused on Mathematical Modelling

Main Article Content

Sarka Hoskova Mayerova

Abstract

The primary mission of the Faculty of Military Leadership consists in providing university education for military professionals to become qualified experts, educated in military science and specially trained for the military service, able to fulfil a socially important role in carrying out security and state defence. In accordance with legislation in the students are also prepared for a “second career†after finishing their active service in the Army. This is not an easy goal. A quality commander should be thoroughly trained, able to make right decisions, know tactical and strategic levels of leadership, accomplish correct judgement, vision and planning, implementation and progress…, just a few terms frequently quoted and referred to this problem. Managers must often deal with factors that are beyond their control. Labour force has changed and grown during the past few decades; therefore, personnel managers must develop alternative attitudes in order to face current demands. Personnel directors must be cognizant of the many individual differences that are among employees: there are varying education levels, physical abilities, psychological and behavioural attributes, different levels of motivation, personality characteristics, etc. The paper deals with the situation of military professionals´ education at University of Defence in Brno, Czech Republic.

 

Keywords: Crisis situation; Mathematical modelling; Training of military specialist

 

 

Downloads

Download data is not yet available.

Article Details

How to Cite
Mayerova, S. H. (2016). Leadership – Training of Military Specialists in Particular Disciplines Focused on Mathematical Modelling. New Trends and Issues Proceedings on Humanities and Social Sciences, 2(5). Retrieved from https://un-pub.eu/ojs/index.php/pntsbs/article/view/1122 (Original work published January 12, 2017)
Section
Articles

References

Hofmann, A., Hoskova-Mayerova, S. & Talhofer, V. (2013). Usage of fuzzy spatial theory for modelling of terrain passability. Advances in Fuzzy Systems, 2013, Hindawi Publishing Corporation, Article ID 506406, 7 pages, http://dx.doi.org/10.1155/2013/506406

Hoskova, S. (2010). Innovation of educational process of mathematics of military officers, Procedia Social and Behavioral Sciences, 2, Is. 2, 4961–4965.

Hoskova-Mayerova, S. & Rosicka, Z. (2012). Programmed learning, Procedia Social and Behavioral Sciences, 31, 782–787.

Hoskova-Mayerova, S., Talhofer, V. & Hofmann, A. (2013). Decision-Making Process with Respect to the Reliability of Geo-Database. In A. G. Ventre, A. Maturo, S. Hoskova-Mayerova, & J. Kacprzyk, Multicriteria and Multiagent decision Making with Applications to Economics and Social Sciences. (Studies in Fuzziness and Soft Computing ed., 179–195). Berlin Heidelberg, Germany: Springer-Verlag.

Hoskova-Mayerova, S. (2015). Geospatial data reliability, their use in crisis situations. Sibiu, Romania „Nicolae Balcescu“ Land Forces Academy Publishing House, 2015, 192–196. The complex physiognomy of the international security enviroment.

Kreps, G. (1991). Organizing for emergency management. Emergency Management: Principles and Practice for Local Government. Washington, D.C.: International City Management Association, 30-54.

Malone, W. (1993). Research Definition and location of research: A user’s view. International Journal of Mass Emergencies and Disasters,11.

Quarantelli, E. L. Historical Development of Organized Efforts to Plan for and to Respond to Disasters. Paper # 227, Disaster Research Center, University of Delaware Newark, Delaware 19716 USA.

Rosicka, Z. (2005). Safety and Adaptability – Multinational Rescue Team Challenge and Goal. Annals of Istrian and Mediterranean Studies – Annals of the Koper Littoral and Neighbouring Regions. University of Primorska. Koper – Slovenia.

Rosicka, Z. (2008). Risk Assessment Related to Information Uncertainty Components. Reliability and Risk Management, 2, San Diego, USA.

Stepanek, L., Urban, R. & Urban, R. (2013). A new operational risk assessment technique: the CASTL method, Journal of Operational Risk, 8, Is. 3, 101–117.

Urban, R. & Urbanova, N. (2014). Personnel Management Risks. 20th International Conference The Knowledge-Based Organisation. Sibiu, Romania, Nicolae Balcescu Land Forces Academy, Sibiu, 308–311.

Van David, A. (2002). Principles of Emergency Planning and Management. Harpenden: Terra Publishing.

Wikipedia – free encyclopaedia, http://en.wikipedia.org/wiki/Mathematical_model