Course Details

NUMERICAL METHODS AND APPLICATIONS IN NANOTECHNOLOGY

AMN581

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Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
1AMN581NUMERICAL METHODS AND APPLICATIONS IN NANOTECHNOLOGY3+0+037,5

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)
Lecture slides will be provided
5 HWs
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:
NoLearning 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
WeekTopicsStudy MaterialsMaterials
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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