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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
YBS 271SCIENTIFIC COMPUTING 3 + 05th Semester5

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

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001            
LO 002            
LO 003            
LO 004            
LO 005            
LO 006            
LO 007            
LO 008            
Sub Total            
Contribution000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14456
Mid-terms11515
Final examination11717
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes