EEE228 Numerical Methods

6 ECTS - 3-2 Duration (T+A)- 4. Semester- 4 National Credit

Information

Unit FACULTY OF ENGINEERING
ELECTRICAL-ELECTRONIC ENGINEERING PR. (ENGLISH)
Code EEE228
Name Numerical Methods
Term 2018-2019 Academic Year
Semester 4. Semester
Duration (T+A) 3-2 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 4 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. MUSTAFA GÖK
Course Instructor Prof. Dr. MUSTAFA GÖK (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

Introduce numerical methods and modern programming tools to solve complex analytical problems using computer systems.Develop problem solving skills using computer programming. Introduce algorithm developing methods.

Course Content

Engineering applications of numerical methods, approximation and precision,discussion of numeric errors, Surveys and applications of numerical techniques related to matrix inversion, systems of linear equations and optimization, finite difference expressions, interpolation and approximation, numerical differentiation and integration. The problem of speed, accuracy and applicability of the topics are examined with related algorithms.

Course Precondition

Resources

Notes

Numerical Methods for Engineers, S. Chapra and R. Canale


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Selects the proper numerical method for an analytical problem.
LO02 Performs statistical analyzes using regression and interpolation methods.
LO03 Writes small programs to apply numerical methods.
LO04 Does computational performance analysis of the various numerical solutions of the same problem.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Has capability in those fields of mathematics and physics that form the foundations of engineering. 0
PLO02 - Grasps the main knowledge in the basic topics of electrical and electronic engineering. 0
PLO03 - Comprehends the functional integrity of the knowledge gathered in the fields of basic engineering and electrical-electronics engineering. 4
PLO04 - Identifies problems and analyzes the identified problems based on the gathered professional knowledge. 0
PLO05 - Formulates and solves a given theoretical problem using the knowledge of basic engineering. 3
PLO06 - Has aptitude for computer and information technologies 0
PLO07 - Knows English at a level adequate to comprehend the main points of a scientific text, either general or about his profession, written in English. 4
PLO08 - Has the ability to apply the knowledge of electrical-electronic engineering to profession-specific tools and devices. 0
PLO09 - Has the ability to write a computer code towards a specific purpose using a familiar programming language. 0
PLO10 - Has the ability to work either through a purpose oriented program or in union within a group where responsibilities are shared. 3
PLO11 - Has the aptitude to identify proper sources of information, reaches them and uses them efficiently. 3
PLO12 - Becomes able to communicate with other people with a proper style and uses an appropriate language. 0
PLO13 - Internalizes the ethical values prescribed by his profession in particular and by the professional life in general. 0
PLO14 - Has consciousness about the scientific, social, historical, economical and political facts of the society, world and age lived in. 4


Week Plan

Week Topic Preparation Methods
1 Analytical solution numerical solution comparision Review of the simple differential equation problems
2 Error Definitions, Precision and Accuracy Read lecture notes
3 Roots of Equations Bracketing Methods Read lecture notes
4 Roots of Equations Open Methods Read lecture notes
5 Optimization Read lecture notes
6 Linear Algebraic Equations and Matrices Read lecture notes
7 Midterm Review lecture notes
8 Gaus Elimination Read lecture notes
9 LU Factoring Read lecture notes
10 Matrix Inverse and Condition Read lecture notes
11 Gaus Seidel Method Read lecture notes
12 Eigenvectors Read lecture notes
13 Lineer Regression Read lecture notes
14 Polynomial Interpolation Read lecture notes
15 Fourier Series Read lecture notes
16 Final Exam Review lecture notes.
17 Final Exam Review lecture notes.


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 5 70
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 5 5
Final Exam 1 15 15
Total Workload (Hour) 160
Total Workload / 25 (h) 6,40
ECTS 6 ECTS

Update Time: 30.04.2025 01:06