Obligation |
: |
Elective |
Prerequisite courses |
: |
- |
Concurrent courses |
: |
- |
Delivery modes |
: |
Face-to-Face |
Learning and teaching strategies |
: |
Lecture, Question and Answer, Problem Solving |
Course objective |
: |
It is aimed that the students who complete the course have an understanding of the techniques available for solving numerical computation problems that arise most often in electrical and electronics engineering. It is aimed that the students be aware of the relevant issues in selecting appropriate methods and software and use them wisely. |
Learning outcomes |
: |
Recognize, classify and formulize numerical methods Understand the main error concepts at the input and output and can relate them Interpret the results of the numerical techniques that they use Decide which algorithm to use when encountered with a numerical problem Know the advantages and disadvantages of the numerical algorithm they use, and have a realistic estimation of how the algorithm will operate |
Course content |
: |
Approximations and error in numerical methods, Systems of linear equations, Linear least squares, Eigenvalue problems, Nonlinear equations, Optimization, Interpolation, Numerical integration and differentiation, Differential equations, Random number generation. |
References |
: |
Heath, Scientific Computing, 2002 |
Course Outline Weekly
Weeks |
Topics |
1 |
Numerical error, sensitivity, floating point arithmetics |
2 |
Systems of linear equations |
3 |
Linear least squares |
4 |
Eigenvalue problems |
5 |
Computing eigenvalues and eigenvectors |
6 |
Nonlinear equations |
7 |
Optimization problems, one-dimensional optimization |
8 |
Multi-dimensional optimization |
9 |
Interpolation |
10 |
Numerical integration and differentiation |
11 |
Differential equations, initial value problems |
12 |
Differential equations, boundary value problems |
13 |
Partial differential equations |
14 |
Random number generation |
15 |
Final exam |
16 |
Final exam |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes |
Contribution level |
1 |
2 |
3 |
4 |
5 |
1. |
Has highest level of knowledge in certain areas of Electrical and Electronics Engineering. | | | | | |
2. |
Has knowledge, skills and and competence to develop novel approaches in science and technology. | | | | | |
3. |
Follows the scientific literature, and the developments in his/her field, critically analyze, synthesize, interpret and apply them effectively in his/her research. | | | | | |
4. |
Can independently carry out all stages of a novel research project. | | | | | |
5. |
Designs, plans and manages novel research projects; can lead multidisiplinary projects. | | | | | |
6. |
Contributes to the science and technology literature. | | | | | |
7. |
Can present his/her ideas and works in written and oral forms effectively; in Turkish or English. | | | | | |
8. |
Is aware of his/her social responsibilities, evaluates scientific and technological developments with impartiality and ethical responsibility and disseminates them. | | | | | |