ENERGY SYSTEMS OPERATION AND TECHNOLOGY (ENGLISH, NON-THESIS)
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
EEE5012	Numerical Methods in Engineering	Fall	3	0	3	8

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Departmental Elective
Course Level:
Mode of Delivery:	Face to face
Course Coordinator :	Dr. Öğr. Üyesi ZAFER İŞCAN
Course Lecturer(s):	Dr. Öğr. Üyesi MUSTAFA EREN YILDIRIM
Recommended Optional Program Components:	None
Course Objectives:	Teaching numerical methods to engineering students

Learning Outcomes

The students who have succeeded in this course;
1. Understanding the systems of linear algebraic equations.
2. Learning interpolation and curve fitting.
3. Learning roots of equations.
4. Learning numerical differentiation
5. Learning numerical integration
6. Solving numerical problems using software

Course Content

Systems of linear algebraic equations, interpolation and curve fitting, roots of equations, numerical differentiation, numerical integration, solving numerical problems using software

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Numerical Methods in Engineering
2)	Introduction to programming
3)	Systems of Linear Algebraic Equations: Gauss Elimination Method
4)	Systems of Linear Algebraic Equations: LU decomposition
5)	Systems of Linear Algebraic Equations: Matrix Inverse
6)	Interpolation
7)	Curve Fitting
8)	Roots of Equations
9)	Numerical differentiation
10)	Numerical Integration
11)	Initial Value Problems
12)	Boundary Value Problems
13)	Symmetric Matrix Eigenvalue Problems
14)	Introduction to Optimization

Sources

Course Notes / Textbooks:	Jaan Kiusalaas, Numerical Methods in Engineering with Python 3, 3rd Edition
References:	1. Steven C. Chapra, Applied Numerical Methods with MATLAB® for Engineers and Scientists, Fourth Edition.

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	1	% 20
Presentation	1	% 20
Midterms	1	% 20
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	7	98
Presentations / Seminar	1	30	30
Homework Assignments	1	30	30
Midterms	1	1	1
Final	1	1	1
Total Workload			202

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Have sufficient theoretical background in mathematics, basic sciences and other related engineering areas and to be able to use this background in the field of energy systems engineering.
2)	Be able to identify, formulate and solve energy systems engineering-related problems by using state-of-the-art methods, techniques and equipment.
3)	Be able to design and do simulation and/or experiment, collect and analyze data and interpret the results.
4)	Be able to access information, to do research and use databases and other information sources.
5)	Have an aptitude, capability and inclination for life-long learning.
6)	Be able to take responsibility for him/herself and for colleagues and employees to solve unpredicted complex problems encountered in practice individually or as a group member.
7)	Develop an understanding of professional and ethical responsibility.
8)	Develop an ability to apply the fundamentals of engineering mathematics and sciences into the field of energy conversion.
9)	Develop an understanding of the obligations for implementing sustainable engineering solutions.
10)	Develop an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.
11)	Realize all steps of a thesis or a project work, such as literature survey, method developing and implementation, classification and discussion of the results, etc.