Course Details

Course Information

Semester	Course Unit Code	Course Unit Title	T+P+L	Credit	Number of ECTS Credits	Last Updated Date
1	AMN581	NUMERICAL METHODS AND APPLICATIONS IN NANOTECHNOLOGY	3+0+0	3	7,5	13.09.2024

Course Details

Language of Instruction	English
Level of Course Unit	Master's Degree
Department / Program	ADVANCED MATERIALS AND NANOTECHNOLOGY
Type of Program	Formal Education
Type of Course Unit	Elective
Course Delivery Method	Face To Face
Objectives of the Course	- To learn numerical methods - Apply these methods to problems encountered in scientific research - To write algorithms for problems - To write codes in Matlab
Course Content	This course offers an introduction to numerical methods to solve problems encountered in science and nanotechnology. Topics include solutions to linear systems of equations, roots of polynomials and other nonlinear functions, statistical applications, determinants, eigenvalues, and eigenvectors, solutions to differential equations; applications of FFT. For the software, we will use Matlab.
Course Methods and Techniques	The course will be accomplished through lectures and in class computer exercises. In the lecture, the basic concepts of numerical methods and the discussion of selected topics will be provided. Students will be encouraged to participate the lecture and discuss problems and concepts. During the computer exercises, students will work on problems that are designed to build conceptual understanding and problem-solving and coding skills. Additionally, students will be expected to produce both in-class participation and homework assignments. Technology will also be incorporated into the classroom procedures in order to create a better learning environment. Student are required to bring laptops with Matlab program installed.
Prerequisites and co-requisities	None
Course Coordinator	None
Name of Lecturers	Asist Prof.Dr. Turgut Tut turgut.tut@agu.edu.tr
Assistants	None
Work Placement(s)	No

Recommended or Required Reading

Resources	Applied Numerical Methods with MATLAB for engineers and scientists Steven C. Chapra, Fourth Ed., McGraw Hill Education (Textbook), Methods for Physics, Second Ed. Alejandro L. Garcia, Prentice Hall (Supplementary)
Course Notes	Lecture slides will be provided
Assignments	5 HWs
Exams	midterm and Final exams

Course Category

Mathematics and Basic Sciences	%50
Engineering	%40
Engineering Design	%5
Social Sciences	%0
Education	%0
Science	%5
Health	%0
Field	%0

Planned Learning Activities and Teaching Methods

Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria

In-Term Studies	Quantity	Percentage
Yarıl yılSonu Sınavı/Dönem Projesinin Başarı Notuna Katkısı	1	% 20
Ödev	5	% 50
Final examination	1	% 30
Total	7	% 100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration	Total Work Load
Araştırma Ödevi	2	5	10
Yazılı Sınav	2	5	10
Ev Ödevi	5	10	50
Soru Çözümü	10	11	110
Yüz Yüze Ders	14	3	42
Final Sınavı	1	3	3
Total Work Load			Number of ECTS Credits 7,5 225

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:

No	Learning Outcomes
1	To learn how to model natural phenomena, discretize mathematical equations and develop appropriate algorithms
2	Write efficient code in Matlab software

Weekly Detailed Course Contents

Week	Topics	Study Materials
1	Mathematical Modeling, Numerical Matlab and Problem Solving	Mathematical Modeling, Numerical Matlab and Problem Solving
2	Matlab Fundamentals	Matlab Fundamentals
3	Matlab Fundamentals , Roundoff and Truncation error	Matlab Fundamentals , Roundoff and Truncation error
4	Root finding methods	Root finding methods
5	Linear Systems and Matrices	Linear Systems and Matrices
6	Linear Systems and Matrices	Linear Systems and Matrices
7	Linear Systems and Matrices	Linear Systems and Matrices
9	Curve Fitting (Active Learning week)	Curve Fitting (Active Learning week)
10	Fourier Analysis	Fourier Analysis
11	Integration and differentiation	Integration and differentiation
12	Integration and differentiation	Integration and differentiation
13	Ordinary differential equations	Ordinary differential equations
14	Ordinary differential equations	Ordinary differential equations
15	Applications in Nanotechnology	Applications in Nanotechnology

Contribution of Learning Outcomes to Programme Outcomes

	P1	P2	P3	P4	P5	P6	P7	P8	P9	P10
C1	3	3	3	3	3		3	2	1	3
C2	3	3	3	3	3		3	2	1	3

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=77240&lang=en

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