MATH 2006 - Numerical Analysis for Engineers

To introduce fundamental numerical methods used in solving engineering problems, explain their theoretical foundations, and develop an understanding of their applications in engineering practice.

Numerical methods for finding roots of equations, solution techniques for linear and nonlinear systems of equations, interpolation and curve fitting, numerical differentiation and integration, numerical solution of ordinary differential equations, and an introduction to numerical optimization methods.

1) Cengizci, S., Scientific Computing Lecture Notes, Antalya Bilim University, 2026.2) Burden, R. L., & Faires, J. D., Numerical Analysis, 9th Edition, Brooks/Cole, Cengage Learning, 2011.3) Chapra, S. C., Applied Numerical Methods with MATLAB for Engineers and Scientists, 4th Edition, McGraw-Hill Education, 2018. (Recommended)4) Chapra, S. C., & Canale, R. P., Numerical Methods for Engineers, 8th Edition, McGraw-Hill Education, 2021. (Recommended)5) Mathews, J. H., & Fink, K. D., Numerical Methods Using MATLAB, 4th Edition, Prentice Hall, 2004. (Recommended)

Students are expected to adhere to the principles of academic integrity throughout the course. All assignments, reports, projects, and examinations must represent the student's own work, and all sources must be properly acknowledged. Artificial intelligence (AI) tools (e.g., ChatGPT, Copilot, Gemini) may only be used as permitted by the instructor for educational support purposes. AI-generated content must not replace the student's own understanding, analysis, or original work. Any use of AI tools should be appropriately disclosed, and students remain fully responsible for the accuracy, originality, and integrity of all submitted work. Violations of academic integrity will be handled in accordance with the University's academic regulations.