Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

Person Responsible for Information Package

Prof. Fatih ERSAN

Prof. Melis GÖKÇE

Assoc. Prof. Yelda KADIOĞLU

Lec. Arash MOBARAKI

Lec. Cenk AKYÜZ

Lec. Şerife Gökçe ÇALIŞKAN

Computer Simulations in Physics

Course Code	: FİZ424
Course Type	: Area Elective
Couse Group	: First Cycle (Bachelor's Degree)
Education Language	: Turkish
Work Placement	: N/A

Theory	: 3
Prt.	: 0
Credit	: 3
Lab	: 0
ECTS	: 4

Objectives of the Course

Calculating some physical problems with numerical methods and applying graphic and simulation methods to these problems

Course Content

Working principle of the computer, programming languages, practical applications on the physics

Name of Lecturer(s)

Prof. Cesur EKİZ

Learning Outcomes

1.	Students master general computer terms.
2.	Students write an algorithm to solve a problem in Physics.
3.	Students make the necessary calculations for a problem in physics with computer support and display them graphically.
4.	Students use a programming language effectively
5.	Students use simulation methods in solving physics problems.

Recommended or Required Reading

1.	An Introduction to Computer Simulation Methods ( H.Gould, J. Tobochnik)
2.	Fortran 90/95 for Scientists and Engineers ( S. J. Chapman)

Weekly Detailed Course Contents

Week 1 - Theoretical

Overview of the working principle of the computer and simulations

Week 2 - Theoretical

Algorithms

Week 3 - Theoretical

Fundamental Fortran and Python Programming, basic programs

Week 4 - Theoretical

Simple programs in Fortran

Week 5 - Theoretical

Simple programs in Python

Week 6 - Theoretical

Linear algebra equations with Fortran and Python

Week 7 - Theoretical

Interpolation and curve fitting with Fortran and Python

Week 8 - Theoretical

Equation roots with Fortran and Python (Midterm exam)

Week 9 - Theoretical

Numerical differential with Fortran and Python

Week 10 - Theoretical

Numerical integration with Fortran and Python

Week 11 - Theoretical

Initial value problems with Fortran and Python

Week 12 - Theoretical

Boundary value problems with Fortran and Python

Week 13 - Theoretical

Symmetric matrix and eigenvalue problems with Fortran and Python

Week 14 - Theoretical

Introduction to optimization with Fortran and Python

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Midterm Examination	1	%30
Final Examination	1	%60
Assignment	3	%10

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	0	3	42
Assignment	3	8	4	36
Midterm Examination	1	8	2	10
Final Examination	1	10	2	12
TOTAL WORKLOAD (hours)				100

Contribution of Learning Outcomes to Programme Outcomes

	PÇ-1	PÇ-2	PÇ-3	PÇ-4	PÇ-5	PÇ-6	PÇ-7	PÇ-8	PÇ-9	PÇ-10	PÇ-11	PÇ-12	PÇ-13	PÇ-14
OÇ-1					3	5		2		5
OÇ-2	4	5	2	4	3	5		2		5	1		4
OÇ-3	4	5	3	5	3	5		2		5			3
OÇ-4		4	4	4	3	5		2		5
OÇ-5	4	5	4	4	3	5		2		5