# COURSE UNIT TITLE

: NUMERICAL METHODS IN ELECTRICAL ENG.

#### Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EED 4015 NUMERICAL METHODS IN ELECTRICAL ENG. ELECTIVE 3 2 0 6

#### Offered By

Electrical and Electronics Engineering

#### Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

#### Course Coordinator

ASISTANT PROFESSOR SERKAN GÜNEL

#### Offered to

Electrical and Electronics Engineering

#### Course Objective

The aim of the course is to use different numerical methods for solving various mathematical problems in electrical enginerring, which involve large numbers of tedious arithmetic calculations, fast and efficiently.

#### Learning Outcomes of the Course Unit

 1 To be able to solve a single design context equation for a parameter or a variable using roots of equations 2 To be able to solve a set of linear algebraic equations 3 To be able to determine best or optimal value or values of a variable with optimization methods 4 To be able to use interpolation and regression techniques to fit curves to data points 5 To be able to perform numerical integration for engineering practice and solving differential equations. 6 To be able to solve ordinary differential equations (i.e. initial value and boundary value problems) numerically 7 To be able to compute eigenvalues numerically 8 To be able to solve partial differential equations numerically in a pointwise fashion

Face -to- Face

None

None

#### Course Contents

 Week Subject Description 1 Mathematical Modeling and Engineering Problem-Solving 2 Approximation and Round-off errors, Truncation and the Taylor Series 3 Bracketing methods, the bisection method, the false position method 4 Open methods, simple fixed point iteration, newton-raphson method, the secant method 5 Gauss Eleimination, Gauss Jordan, LU Decomposition 6 Midterm I 7 Least squares regression, Interpolation, 8 Lagrange Interpolationg polynomials, spline interpolation, newton's divided difference interpolating polynomials 9 Fourier approximation 10 Newton-Cotes integration of equations 11 Numerical Differentiation 12 Runge Kutta Methods 13 Boundary value and eigenvalue poblems, 14 Finite Difference: Elliptic and Parabolic Equations

Ana kaynak:
Steven C. Chapra, Raymond P. Canale, Numerical Methods for Engineers, McGraw-Hill, 2009.

Yardımcı kaynaklar:
1. R. W. Hamming, Numerical Methods for Scientists and Engineers, Dover, 1987.
2. Stanislaw Rosloniec, Fundamental Numerical Methods for Electrical Engineering (Lecture Notes in Electrical Engineering) , Springer, 2008

Referanslar:

Diğer ders materyalleri: Lecture notes

#### Planned Learning Activities and Teaching Methods

Lectures with active discussions, midterm and final examinations, laboratory sessions with active discussions, computer based homeworks for laboratory sessions

#### Assessment Methods

 SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.25 + ASG * 0.25 + FIN * 0.50 5 RST RESIT 6 FCG FINAL COURSE GRADE MTE * 0.25 + ASG * 0.25 + RST * 0.50

*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

None

#### Assessment Criteria

Students ability to make calculations in course outcomes are evaluated using 1 midterm and 1 final examination. Their ability to use the information and capture the concepts in applications are evaluated in 10 computer laboratory experiments for which they have to prepare software programs to solve various electrical engineering problems. Midterm consist 20%, Homeworks consists 15%, Laboratory consists 15% and final examination consists 50% of the final grade

English

To be announced.

#### Contact Details for the Lecturer(s)

serkan.gunel@deu.edu.tr

#### Office Hours

To be determined at the beginning of the semester

#### Work Placement(s)

None

 Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Tutorials 10 2 20 Preparations before/after weekly lectures 10 5 50 Preparation for midterm exam 1 15 15 Preparation for final exam 1 20 20 Final 1 3 3 Midterm 1 2 2 TOTAL WORKLOAD (hours) 152

#### Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.15541
LO.25541
LO.35511
LO.45531
LO.5531
LO.655451
LO.7555
LO.85