FK658 Numerical Methods in Physics

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code FK658
Name Numerical Methods in Physics
Term 2023-2024 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. METİN ÖZDEMİR
Course Instructor
1


Course Goal / Objective

To transfer the information on graphics presentation, root finding, numerical differentiation, solving ordinary differential equations with initial conditions, random numbers and Monte Carlo methods, solution of lineer equations, curve fitting subjects that may be useful for a graduate student.

Course Content

Error, precision and stability; writing simple computer programs and their compilation, data entrance (i/o), platting; Root finding methods: bisection, regula falsi, secant, Newton-Raphson methods; numerical solution of ordinary differential equations; random numbers and their production using computers; Monte Carlo methods, Metropolis algorithm; numerical solution of lineer systems of equations; curve fitting.

Course Precondition

none

Resources

Numerical recipes in FORTRAN, THE ART OF SCIENTIFIC COMPUTING, William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery

Notes

Lecture notes, homework problems


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Understands the concepts of error, precision and stability.
LO02 Understands how to make the graph of a function or a given data set.
LO03 writes, compiles and executes some simple computer programs.
LO04 Makes changes in a computer program that suits his/her needs, complies and executes it.
LO05 Finds the real roots of a non-linear function.
LO06 Understand the concept of numerical differentiation..
LO07 Understands how to solve initial value ordinary differential equations numerically.
LO08 Understands the relation between random numbers and Monte Carlo methods.
LO09 Knows the Metropolis algorithm and applies it to some physical systems.
LO10 Understands the numerical solution of lineer equations.
LO11 Has knowledge on curve fitting.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Based on the qualifications of the MA level, develops and deepens the current and advanced knowledge in the area by unique means of thinking and / or research at mastery level and comes up with original definitions which bring about novelty to the physics area.
PLO02 Bilgi - Kuramsal, Olgusal Use the equipment used in the field.
PLO03 Bilgi - Kuramsal, Olgusal Gain experience on experimental measurements and their graphical representation with appropriate units and accuracy
PLO04 Bilgi - Kuramsal, Olgusal Interpret observational and experimental results. 3
PLO05 Bilgi - Kuramsal, Olgusal Deduce from sources which are obtained by research during the process of preparing proficiency exam. 3
PLO06 Bilgi - Kuramsal, Olgusal Interpret information in their field written and oral 3
PLO07 Bilgi - Kuramsal, Olgusal Demonstrate the knowledge of appropriate mathematical techniques used in physics. 4
PLO08 Bilgi - Kuramsal, Olgusal Has a knowledge about the logic of scientific research. 3
PLO09 Bilgi - Kuramsal, Olgusal Makes use of the conceptual and practical knowledge acquired in the physics field at mastery level. 3
PLO10 Bilgi - Kuramsal, Olgusal Has attained advanced skills to apply research methods in studies related with the physics area. 3
PLO11 Bilgi - Kuramsal, Olgusal Develops a scientific method that brings innovation to science.
PLO12 Bilgi - Kuramsal, Olgusal Performs the critical analysis, synthesis and evaluation of new and complicated thought. 3
PLO13 Bilgi - Kuramsal, Olgusal Can demonstrate the ability to perform an independent research in a specific issue related to physics. 4
PLO14 Bilgi - Kuramsal, Olgusal Acts as a leader in environments where it is necessary to solve original and interdisciplinary problems.
PLO15 Bilgi - Kuramsal, Olgusal To keep track of the developments in physics and updates himself/herself invariably. 3
PLO16 Bilgi - Kuramsal, Olgusal Can calculate the predictions of a physical theory and compare with the experimental results. 4
PLO17 Bilgi - Kuramsal, Olgusal Comprehends the interdisciplinary interaction with which the physics area is related. 5
PLO18 Bilgi - Kuramsal, Olgusal Shares his/her ideas and suggestions for solutions to the physical problems with experts and non-experts by supporting them with quantitative and qualitative data. 3
PLO19 Bilgi - Kuramsal, Olgusal Can develop original solutions to physical problems. 2
PLO20 Bilgi - Kuramsal, Olgusal Can prepare a scientific article and can publish scientific articles about his/her field in international refereed journals.


Week Plan

Week Topic Preparation Methods
1 Error, precision and stability; some algorithms Study the relevant subject from lecture notes and reference textbooks. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
2 Simple programs, compiling, input/output of data Study the relevant subject from lecture notes and reference textbooks. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 Plotting (function and data) Study the relevant subject from lecture notes and reference textbooks. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
4 Root finding Study the relevant subject from lecture notes and reference textbooks. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 Root finding (cont'd) Study the relevant subject from lecture notes and reference textbooks. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Numerical solution of ordinary differential equations Study the relevant subject from lecture notes and reference textbooks. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Numerical solution of ordinary differential equations (cont'd) Study the relevant subject from lecture notes and reference textbooks. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam mid-term exam Ölçme Yöntemleri:
Yazılı Sınav
9 Random numbers and their tests Study the relevant subject from lecture notes and reference textbooks. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Monte Carlo methods and random numbers Study the relevant subject from lecture notes and reference textbooks. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Metropolis algorithm and its applications Study the relevant subject from lecture notes and reference textbooks. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Numerical solution of systems of Linear equations Study the relevant subject from lecture notes and reference textbooks. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Systems of Linear equations (cont'd) Study the relevant subject from lecture notes and reference textbooks. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Curve fitting Study the relevant subject from lecture notes and reference textbooks. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 Curve fitting (cont'd) Study the relevant subject from lecture notes and reference textbooks. Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
16 Term Exams final exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams final exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
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 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 09.05.2023 01:30