PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
YBS 207	SCIENTIFIC COMPUTING	3 + 1	5th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	Teaching mathematics infrastructures to students for Optimization and Artificial Neural Networks courses with using MATLAB.
Course Content	Introduction to MATLAB, approximate computing of the roots of the system with single variable, matrices and linear systems, solution methods for linear and nonlinear systems, curve-fitting in linear systems, interpolation, numerical derivation and integration.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Uses MATLAB in basic form.
2	Understands iterative methods for linear and nonlinear systems with single variable.
3	Knows vector, norm, rank, eigenvalue, eigenvector concepts and applies in MATLAB.
4	Knows solution methods of linear systems and uses MATLAB for this purpose.
5	Understands solution methods of nonlinear systems and uses MATLAB for this purpose.
6	Knows curve-fitting methods for linear systems and applies in MATLAB.
7	Knows interpolation polynomials.
8	Understands numerical derivation and integration concepts and uses MATLAB for this purpose

COURSE'S CONTRIBUTION TO PROGRAM

Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	5	70
Mid-terms	1	7	7
Final examination	1	11	11
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

This course is not available in selected semester.

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student