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공학 >전기ㆍ전자 >전기전자공학
강의학기

2025년 1학기

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강의계획서: 강의계획서

이 과목은 공학 및 과학 문제의 수치적 해법을 위한 다양한 알고리즘을 다룹니다.

주요 학습 목표는 수치 알고리즘의 이론적 원리, 적용 가능성 및 한계를 이해하고, 이를 MATLAB 환경에서 구현하는 역량을 기르는 것입니다.

차시별 강의

1.	Introduction	What are we going to learn?
2.	Mathematical Modeling, Numerical Methods, and Problem Solving	What is the numerial modeling and methods?
	Matlab fundamentals	Let me introduce Matlab.
3.	Programming with Matalb	Let's try coding in Matalb
	Programming with Matalb	Let's try coding in Matalb
4.	Roundoff and Truncation Errors	Error analysis is important in numerical analysis.
	Roundoff and Truncation Errors	Error analysis is important in numerical analysis.
5.	Roots: Bracketing Methods	What is the roots?
	Roots: Bracketing Methods	What is the roots?
6.	Roots: Open Methods	We also have the open methods.
	Roots: Open Methods	We also have the open methods.
7.	Optimization	Optimization may be the most important aspect of most engineering fields.
8.	Linear Algebraic Equations and Matrices	Here it is at last — the matrix!
9.	Gauss Elimination	How to solve small sets of linear equations with the graphical method and Cramer’s rule.
10.	LU Factorization	what is the LU factorization and how to use it?
11.	Matrix Inverse and Condition	how to determine the matrix inverse in an efficient manner based on LU factorization
12.	Iterative Methods	Let's understand the difference between the Gauss-Seidel and Jacobi methods.
	Iterative Methods	Recognizing how relaxation can be used to improve convergence of iterative methods
13.	Linear Regression	How to compute the slope and intercept of a best fit straight line with linear regression.
14.	General Linear Least-Squares and Nonlinear Regression	how to implement regression
15.	Polynomial Interpolation	How to perform an interpolation with Newton’s and Knowing how to perform an interpolation with a Lagrange polynomial.