|
Module/Course Title: Numerical Method |
|||||
|
Module course code KOMS120305 |
Student Workload
|
Credits 3 / 4.5 ETCS |
Semester 3 |
Frequency
Odd Semester |
Duration 16 |
|
1 |
Type
of course Core Study Courses |
Contact
hours
|
Independent
Study
|
Class Size 30 |
|
|
2 |
Prerequisites
for participation (if applicable) - |
||||
|
3 |
Learning Outcomes
|
||||
|
4 |
Subject aims/Content Numerical methods aim to make it easier for us to understand several numerical methods to solve mathematical equations that are difficult or cannot be solved analytically. Numerical methods can be used in various fields of science that formulate equations in a mathematical form. The advantage of the Numerical Method is that it can solve complex equations that cannot be solved analytically. Solving equations will be better and faster with the help of a computer. Some programming logic in the form of flowcharts will be displayed in each sub-discussion. Solving equations will be assisted with computer-based tools and basic programming languages. The course will concentrate on the fundamentals of two traditional branches of numerical mathematics: methods for solving ordinary differential equations and numerical methods of algebra and analysis. The characteristics of computer arithmetic, polynomial and spline interpolation, numerical integration, direct and iterative methods for solving linear and nonlinear systems of equations, and numerical methods for solving ordinary differential equations are among the topics that students will become familiar with. Study MaterialIntroduction to Numerical Methods Taylor Series and Error Analysis Taylor Series and Error Analysis Solution of non-linear equation Solution of non-linear equation Solution of system of equations Solution of system of equations Introduction to numerical methods, Taylor series and error analysis, solutions to non-linear equations, solutions to linear equations Interpolation and regression Interpolation and regression Interpolation and regression Numerical integration Numerical integration Numerical Derivative Ordinary Differential Equation Interpolation and regression, numerical integration, numerical derivatives, ordinary differential equations |
||||
|
5 |
Teaching methods
Synchronous: face to face/online meeting Asynchronous: Module delivery via elearning |
||||
|
6 |
Assesment Methods
Attendance and participation |
||||
|
7 |
This module/course is used in the following study programme/s as well Computer Science Study Programme |
||||
|
8 |
Responsibility for module/course
|
||||
|
9 |
Other Information
|
||||