Be able to use knowledge of mathematics to implement software computational nature;
• master the basic features of numerical methods, conditions of use and possibilities of adaptation to specific engineering problems;
• Gain the ability to select and categorize tasks by numerical methods of solution;
• Master the principles of decomposition and allocation of tasks subtasks, solutions can be found by means of numerical methods;
• Be able to program an algorithm to implement its optimization and evaluate the accuracy of the results obtained;
• Have skills in solving computational problems using mathematical packages (Mathlab, MathCad, Maple, Mathematica).

• Linear algebra and analytic geometry
• Mathematics Analysis
• Basic programming
• Object-Oriented Programming

Mathematical modeling and computational experiment. Elements of the theory of errors. Solving nonlinear equations. Direct methods for solving systems of linear algebraic equations. Iterative methods for solving systems of linear algebraic equations. Solving systems of nonlinear equations. Interpolation functions. Approximation functions. Numerical differentiation. Numerical integration. Numerical methods for solving the Cauchy problem for ordinary differential equations. Numerical solution for ordinary differential equations.

• Бахвалов Н.С., Жидков Н.П., Кобельков Г.М. Численные методы: Учеб. пособие.- М.: Наука, 1987. – 600 с.
• Коссак О., Тумашова О., Коссак О. Методи наближених обчислень: Навч. посібн. – Львів: Бак, 2003. – 168 с.
• Фельдман Л.П., Петренко А.І., Дмитрієва О.А. Чисельні методи в інформатиці. – К.: Вид. група BHV, 2006. – 480 с.

• written reports on laboratory work, oral examination, reference work (40%);
• final control (control measure, exam), written-oral form (60%).