Course Information

Course Name	Turkish	Fiziksel Sistemlerin Hesaplamalı Analizi
	English	Computational Analysis of Physical Systems
Course Code	FIZ 425E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	2	2	-
Course Language		English
Course Coordinator		Tolga Birkandan
Course Objectives		1. Learning the fundamental concepts of the Python language and using them in numerical analysis, 2. Learning to use of Python as a computation tool, 3. Introduction to the object-oriented programming, interface development, interaction with other languages and symbolic computations with Python.
Course Description		Computational Analysis of Physical Systems
Course Outcomes		I. Gaining a general knowledge about open-source software in science, II. Gaining ability to use Python in numerical computations, III. Analyzing various physics systems numerically, IV. Gaining knowledge on advanced usage of Python, V. Gaining ability to use Python as a symbolic calculator in cases requiring exact solutions.
Pre-requisite(s)		(BIL 102 or BIL 102CE or BIL 104E or BIL 104 or BIL 106E or BIL 105E or BIL 102E or BIL 102FE or BIL 108E) minimum DD
Required Facilities		Computer Laboratory
Other		-
Textbook		Jaan Kiusalaas, Numerical Methods in Engineering with Python, Cambridge University Press, New York, 2010.
Other References		- Michael Dawson, Python Programming for the Absolute Beginner, Course Technology, Boston, 2010 - Mark Lutz, Programming Python, O'Reilly Media, California, 2011 - James Payne, Beginning Python, J. Wiley & Sons Inc, Indianapolis, 2010 - Hans Petter Langtangen, A Primer on Scientific Programming with Python, Springer, Dordrecht, 2011

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