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Course Information
Semester Course Code Course Title T+P+L Credit ECTS
4 05140409 Numerical Methods for EE 3+0+0 3 4
Course Details
Language : Turkish
Level : Bachelor's Degree
Department / Program : Electrical and Electronics Engineering
Mode of Delivery : Face to Face
Type : Compulsory
Objectives : Matlab Fundamentals, Modeling and Error Analysis, Taylor Series, Numerical Differentiation, Roots of Equations, Interpolation, Numerical Integration, Partial Differential Equations
Content : Matlab Fundamentals, Modeling and Error Analysis, Taylor Series, Numerical Differentiation, Roots of Equations, Interpolation, Numerical Integration, Partial Differential Equations
Methods & Techniques :
Prerequisites and co-requisities : None
Course Coordinator : Associate Prof.Dr. Hulusi AÇIKGÖZ
Name of Lecturers : Associate Prof.Dr. Hulusi AÇIKGÖZ
Assistants : None
Work Placement(s) : No
Recommended or Required Reading
Resources : Numerical Methods for Engineers, by S. Chapra and R.P. Canale, McGraw Hill, (2002).
Course Category
Engineering 50%
Engineering Design 50%
In-Term Study Informations
In-Term Studies Quantity Percentage
Mid-terms 1 40%
Final examination 1 60%
Total 2 100%
Activity Informations
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 10 4 40
Assignments 2 7 14
Mid-terms 1 12 12
Final examination 1 12 12
Total Work Load ECTS: 4 120
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes
1 Know the fundamental mathematics knowledge and theorems
2 Know the applications of mathematics in engineering
3 Know the differential equations with solution methods and applications in engineering
4 Know the numerical calculations and analysis
Weekly Detailed Course Contents
Week Topics
1 Introduction of Numerical Methods
2 Introduction of Numerical Methods
3 Matlab Fundamentals
4 Matlab Fundamentals
5 Modeling and Error Analysis
6 Modeling and Error Analysis
7 Taylor Series
8 Numerical Differentiation
9 Numerical Differentiation
10 Roots of Equations
11 Interpolation
12 Numerical Integration
13 Partial Differential Equations
14 Partial Differential Equations
Contribution of Learning Outcomes to Programme Outcomes
P1P2P3P4P5P6P7P8P9P10P11
All 3
C1 5
C2 3
C3 5
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