GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

COMPUTER PROGRAMMING II/FİZ447

Course Title:	COMPUTER PROGRAMMING II
Credits	3	ECTS	4
Semester	7	Compulsory/Elective	Elective

COURSE INFO

-- LANGUAGE OF INSTRUCTION

Turkish

-- NAME OF LECTURER(S)

Assoc. Prof. Dr. Sefer Bora LİŞESİVDİN, Prof. Dr. Gökay UĞUR, Prof. Dr. Bülent KUTLU, Prof. Dr. Ergün KASAP, Assoc. Prof. Dr. Mustafa Kemal ÖZTÜRK, Assoc. Prof. Dr. Mustafa Hicabi BÖLÜKDEM&

-- WEB SITE(S) OF LECTURER(S)

http://sblisesivdin.ndct.org/, http://websitem.gazi.edu.tr/site/gokay, http://websitem.gazi.edu.tr/site/bkutlu, http://websitem.gazi.edu.tr/site/ergun, http://websitem.gazi.edu.tr/site/ozturkm, http://websitem.gazi.edu.tr/site/hicabi

-- EMAIL(S) OF LECTURER(S)

bora@gazi.edu.tr, gokay@gazi.edu.tr, bkutlu@gazi.edu.tr, ergun@gazi.edu.tr, ozturkm@gazi.edu.tr, hicabi@gazi.edu.tr

-- LEARNING OUTCOMES OF THE COURSE UNIT

Introduction level information about numerical analysis will be learned.
Python language and its scientific libraries will be taught.
Primary outcomewill be the giving computational point-of-view for theoretically known problems.

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face

-- PREREQUISITES AND CO-REQUISITES

There is no prerequisite or co-requisite for this course.

-- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS

There is no recommended optional programme component for this course. Bu dersle ilişkili önerilen başka dersler bulunmamaktadır.

--COURSE CONTENT
1. Week	Introduction to Python programming language (Variables, Numerical data types, pointers)
2. Week	Introduction to Python programming language (Loops, control structures, read&write, graphics)
3. Week	Basics of numerical calculation
4. Week	Numerical derivatives
5. Week	Numerical integration
6. Week	Solution of equations
7. Week	Solution of differential equations
8. Week	Midterm exam
9. Week	Application for differential equation solutions
10. Week	Eigen value/Eigen function problems
11. Week	Numerical solution of Schrödinger equation
12. Week	Solution of linear systems, Matrices
13. Week	General structure of Monte Carlo methods
14. Week	Simulation of Ising model by Monte Carlo method
15. Week	Random walking and diffusion problem
16. Week	Final Exam

-- RECOMMENDED OR REQUIRED READING

“Fortran ve Python ile Sayısal Fizik” Bekir Karaoğlu, Seçkin Press 2013., C S.E. Koonin, “ComputationalPhysics”, The Benjamin-Cummings

-- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS

Lecture, Question & Answer, Demonstration

-- WORK PLACEMENT(S)

Not Available

-- ASSESSMENT METHODS AND CRITERIA

	Quantity	Percentage
Mid-terms	1	40
Assignment	2	20
Exercises	0	0
Projects	0	0
Practice	0	0
Quiz	1	10
Contribution of In-term Studies to Overall Grade		70
Contribution of Final Examination to Overall Grade		30

-- WORKLOAD

Efficiency	Total Week Count	Weekly Duration (in hour)	Total Workload in Semester
Theoretical Study Hours of Course Per Week	14	3	42
Practising Hours of Course Per Week	14	0	0
Reading	2	3	6
Searching in Internet and Library	2	5	10
Designing and Applying Materials	5	4	20
Preparing Reports	1	8	8
Preparing Presentation	1	8	8
Presentation	1	2	2
Mid-Term and Studying for Mid-Term	1	6	6
Final and Studying for Final	1	10	10
Other	0	0	0
TOTAL WORKLOAD:			112
TOTAL WORKLOAD / 25:			4.48
ECTS:			4

-- COURSE'S CONTRIBUTION TO PROGRAM

NO	PROGRAM LEARNING OUTCOMES	1	2	3	4	5
1	To be able to gain scientific innovation skill.			X
2	To be able to make independent research and investigation.	X
3	To be able to earn clever observation and analytical thinking skills.				X
4	To be able to make an biological systems analizing with physics laws.				X
5	To be able to connect with basic science Mathematic, Chemistry and Biology.		X
6	To be able to gain ability of teaching and learning.					X
7	To be able to understand the importance of physics concepts, implementation and describtion.				X
8	To be able to provide an understanding of natural phenomena with development of technology.			X
9	To be able to gain thinking, creating, upgradability of discussion and questioning skills.		X
10	To be able to contribute to developments in the field of Nuclear Medicine ,Health Physics and Medical Physics.
11	To be ability to about computer-aided algorithm for solving problems and to become capable of writing programs.					X
12	To be ability to about access to information, present information and develop assessment.			X
13	To be develop itself as a parallel to developing technology.					X

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GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR