THE USE OF SIMULATION MODELLING IN THE TRAINING OF SHIP NAVIGATORS: THE INFLUENCE OF EXTERNAL FACTORS ON THE CHARACTERISTICS OF SHIP MOVEMENT
Abstract
Being competent means to take into account all the circumstances of the situation and to adequately use the acquired knowledge and experience. Competence allows a person to be well-informed not only about the normal course of events but also in emergencies. It also allows to turn person’s experience into his own values and attitudes.
Among the tasks facing higher education, one of the main places is the formation of key competencies, the level of formation of which is judged on the quality of educational content. The main distinguishing feature of the competency-based approach is that it has activity-orientated nature, where the criterion of competence is the achievement of a positive result by the student.
At Kherson State Maritime Academy the 1st year program of "Information Technologies" discipline contains "Information Technologies in Navigation" module, which examines the algorithms and methods of solving professional problems. This content of the course contributes to improving the quality of training of future ship navigators, and implementing the focus of this discipline on their professional activities. In other words, we begin to form both subject and universal professionally oriented competencies. Specially selected tasks acquaint cadets with information technology in terms of implementing the solution of professionally oriented tasks, namely:
1) construction of mathematical (information) models;
2) implementation of mathematical models of problems by means of MS Excel;
3) analysis of possible solutions of the problem;
4) optimization of technological processes, taking into account all possible situations and methods of decision making.
Under the key competencies we will understand not only the system of expertise, knowledge and skills, but also the ability of future professionals to use this system for professional activities.
This article proposes methodological techniques for the formation of subject professionally oriented competencies of future ship navigators. These techniques are shown on the example of solving an applied problem using an information-modeling approach to the analysis and risk assessment of a ship operating in conditions of changing or unpredictable external influences. These influences are one of the factors that can lead to emergencies.
Downloads
Metrics
References
1. Сайт Херсонської державної морської академії. Режим доступу http://kma.ks.ua/ua/
2. Рульков, Д.И. (1973). Навигация и лоция: учебное пособие. Москва: Транспорт.
3. Кузнецов, Ю.М. & Бушуєв, П.І. (2011). Методичні рекомендації щодо проведення практических занять з дисциплини "Гідрометеорологичне заобезпечення мореплавства". Херсон: ХДМА.
4. Матохин, А.В. (2016). Системный подход к анализу рисков при маневрировании танкеров в портовых водах. (Кандидатська дисертація). Режим доступу https://www.dissercat.com/content/sistemnyi-podkhod-k-analizu-riskov-pri-manevrirovanii-tankerov-v-portovykh-vodakh
5. Ankudinov, V., Kaplan, P. & Jacobsen, B.K. (1993). Assessment and Principal Structure of the Modular Mathematical Model for Ship Maneuverability Prediction and Real Time Maneuvering Simulations. Newfoundland, Canada. Режим доступу https://www.sciencedirect.com/science/article/abs/pii/S0029801802001427
6. Соболев, Г.В. (1977). Устойчивость движения и критерии управляемости судна при ветре. Ленинград: Труды ЛКИ.
7. Мартюк, Г.И., Юдина, Ю.И. & Юдина, А.Ю. (2004). Учёт ветра в математической модели судна с целью оценки его влияния на маневренные характеристики. Вестник МГТУ, 7(3). 375-380. Режим доступу https://cyberleninka.ru/article/n/uchet-vetra-v-matematicheskoy-modeli-sudna-s-tselyu-otsenki-ego-vliyaniya-na-manevrennye-harakteristiki/viewer.
8. Нэй Зо Аунга. (2011). Расчетное исследование управляемости и элементов мореходности судов в условиях воздействия течения, ветра и волнения. (Кандидатська дисертація). Режим доступу https://www.dissercat.com/content/raschetnoe-issledovanie-upravlyaemosti-i-elementov-morekhodnosti-sudov-v-usloviyakh-vozdeist
9. Вычужанин, В.В. & Рудниченко, Н.Д. (2013). Концепция анализа и оценки риска судовой сложной технической системы. Вісник Одеського національного морського університету, 3(39). 187-193
10. Жалдак, М.І. & Рамський, Ю.С. (1984). Чисельні методи математики: посібник для самоосвіти вчителів. Київ: Радянська школа.
11. Теплицький, І.О. (2010). Елементи комп’ютерного моделювання: навчальний посібник. Кривий Ріг: КДПУ.
12. El-Gebeily, M. & Yushau, B. (2007). Numerical Methods with MS Excel. The Montana Mathematics Enthusiast, 4, 84-92. Режим доступу http://scholarworks.umt.edu/cgi/
13. Кравцова, Л.В., Зайцева, Т.В. & Камінська, Н.Г. (2019). Математичне моделювання прогнозування природних явищ у професійній роботі моряка. Вісник Кременчуцького національного університету імені Михайла Остроградського, 6(119). 84-90.
14. Вагущенко, Л.Л., Вагущенко, А.Л., & Заичко, С.И. (2005). Бортовые автоматизированные системы контроля мореходности. Одесса: Феникс.
15. Рыжиков, Ю.И. (2004). Имитационное моделирование. Теория и технология. Москва: Альтекс.
16. Kravtsov, H. (2015). Methods and Technologies for the Quality Monitoring of Electronic Educational Resources. CEUR-WS.org, 1356. 311-325.
17. Прохоров, Ю.К. & Фролов, В.В. (2011). Управленческие решения: Учебное пособие (2-я ред.). Санкт-Петербург: СПбГУ ИТМО.
REFERENCES (TRANSLATED AND TRANSLITERATED)
1. Site of Kherson State Maritime Academy. Retrieved from http://kma.ks.ua/ua/
2. Rulkov, D.I. (1973). Navigation and pilotage: Tutorial. Moscow: Transport.
3. Kuznetsov, Yu.M. & Bushuyev, P.I. (2011). Methodical recommendations for conducting practical classes in the discipline "Hydrometeorological support of navigation". Kherson: HDMA.
4. Matokhin, A.V. (2016). A systematic approach to risk analysis when maneuvering tankers in port waters. (Doctoral dissertation). Retrieved from https://www.dissercat.com/content/sistemnyi-podkhod-k-analizu-riskov-pri-manevrirovanii-tankerov-v-portovykh-vodakh
5. Ankudinov, V., Kaplan, P. & Jacobsen, B. (1993). Assessment and Principal Structure of the Modular Mathematical Model for Ship Maneuverability Prediction and Real Time Maneuvering Simulations. Newfoundland, Canada. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S0029801802001427
6. Sobolev, G.V. (1977). Stability of movement and criteria of controllability of the vessel at a wind. Leningrad: Works of LKI.
7. Martyuk, G.I., Yudina, Yu.I. & Yudina, A.Yu. (2004). Consideration of wind in the mathematical model of the ship in order to assess its impact on maneuvering characteristics. Vestnik MGTU, 7 (3). 375-380. Retrieved from https://cyberleninka.ru/article/n/uchet-vetra-v-matematicheskoy-modeli-sudna-s-tselyu-otsenki-ego-vliyaniya-na-manevrennye-harakteristiki/viewer
8. Nei Zo Aung. (2011). Estimated study of the controllability and elements of seaworthiness of vessels under the influence of currents, wind and waves. (Doctoral dissertation). Retrieved from https://www.dissercat.com/content/raschetnoe-issledovanie-upravlyaemosti-i-elementov-morekhodnosti-sudov-v-usloviyakh-vozdeist
9. Vychuzhanin, V.V. & Rudnichenko, N.D. (2013). The concept of analysis and risk assessment of a ship's complex technical system. Bulletin of Odessa National Maritime University, 3(39). 187-193
10. Zhaldak, M.I. & Ramsky, Yu.S. (1984). Numerical methods of mathematics: Guide for self-education of teachers. Kyiv: Soviet school.
11. Teplitsky, I.O. (2010). Elements of computer modeling: Textbook. Kryvyi Rih: KSPU.
12. El-Gebeily, M. & Yushau, B. (2007). Numerical Methods with MS Excel. The Montana Mathematics Enthusiast, 4. 84-92. Retrieved from http://scholarworks.umt.edu/cgi/
13. Kravtsova, L.V., Zaitseva, T.V. & Kaminskaya, N.G. (2019). Mathematical modeling of forecasting natural phenomena in the professional work of a sailor. Bulletin of Kremenchug National University named after Mykhailo Ostrogradsky, 6(119). 84-90.
14. Vagushchenko, L.L, Vagushchenko, A.L, & Zaichko, S.I. (2005). Onboard automated seaworthiness control systems. Odessa: Phoenix.
15. Ryzhikov, Yu. I. (2004). Simulation modeling. Theory and technology. Moscow: Altex.
16. Kravtsov, H. (2015). Methods and Technologies for the Quality Monitoring of Electronic Educational Resources. CEUR-WS.org, 1356. 311-325.
17. Prokhorov, Yu.K. & Frolov, V.V. (2011). Management decisions: Textbook (2nd edn). St. Petersburg: St. Petersburg State University ITMO.
