1. Knowledge of the methods for assessing potential hazards that accompany technological processes of manufacturing and assembling products, the operation of technological equipment and tooling in structural divisions of foundries or organizations, the principles of reasonable selection and application of measures to prevent hazards and ensure professional and civil safety.;
2. Knowledge of simplex-lattice and quasi-randomization planning of industrial experiments;
3. Knowledge of the ranking procedure of factors and optimization parameters.
4. The ability to plan experiments to solve extreme problems;
5. The ability to choose the optimal strategy for the experiment;
6. The ability to process and interpret the results of the experiment;
7. The ability to apply modern methods of metallurgical production in the creation of new technologies and materials.

Previous disciplines:
Computer Aided Design Basics
Theoretical Foundations
Mold technology

Related disciplines:
Computer technology in foundry
Casting defects

Studying the discipline "Organization of an experiment in the modeling and optimization of technical systems in metallurgy", the student learns the basic principles of mathematical planning and optimization of experimental work in the development of modern methods of metallurgical production and processing of structural and functional materials, acquires knowledge for subsequent professional activities. It forms the student’s skills and creative skills in choosing the best methods for creating materials of various types: structural, instrumental, functional, used in metallurgy. It acquires the necessary practical skills that make it possible to rationally organize an experiment in modern conditions of metallurgical production, and to choose the manufacturing technology of the product, taking into account real operating conditions, ensuring sustainable development conditions, the minimum cost of products and the optimal combination of operational properties.

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3. Зедгинидзе И.Г. Планирование эксперимента для исследования многокомпонентных систем. — М.: Наука, 1976. — с.
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5. Організація експерименту: Навч. Посібник. — К.: ІЗМН, 1996. — 136 с.
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7. Львовский Е.Н. Статистические методы построения эмпирических формул: Учеб. пособие для втузов. — 2–е изд., перераб. и доп. — М.: Высш. шк., 1988. — 239 с.
8. Поршнев С.В., Беленкова И.В. Численные методы на базе Mathcad. СПб.: БХВ–Петербург, 2005.— 464 с

Running control: oral and written surveys, laboratory works (40%);
Examination control: written-oral form (60%).