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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
KMUH 253NUMERICAL ANALYSIS METHODS3 + 05th Semester3

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective Heat and mass transfer, fluid mechanics teaches numerical methods for solving problems and chemical reactions.
Course Content Algebraic equations, successive iterative methods, interpolation and extrapolation, curve fitting, numerical integration, differential equations.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1It recognizes the numerical linear algebra.
2You can solve differential equations.
3Learn numerical integration.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 0013 3 44   3 3
LO 0023 4 43   4 2
LO 0031 2  4   5 2
Sub Total7 9 811   12 7
Contribution203034000402

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)14114
Mid-terms11010
Final examination11212
Total Work Load

ECTS Credit of the Course






78

3
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Fall1UĞUR YÜCEL


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
KMUH 253 NUMERICAL ANALYSIS METHODS 3 + 0 1 Turkish 2023-2024 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. UĞUR YÜCEL uyucel@pau.edu.tr MUH A0202 %80
Goals Heat and mass transfer, fluid mechanics teaches numerical methods for solving problems and chemical reactions.
Content Algebraic equations, successive iterative methods, interpolation and extrapolation, curve fitting, numerical integration, differential equations.
Topics
WeeksTopics
1 Mathematical Foundations and Error Analysis
2 Roots of nonlinear algebraic equations: Implicit Methods (Bisection Method, False Position Method)
3 Roots of nonlinear algebraic equations: Explicit Methods (Fixed Point Iteration, Newton-Raphson Method, Secant Method)
4 Curve Fitting: Least squares regression (Linear regression, Polynomial regression, Multiple linear regression)
5 Curve Fitting: Linearization of nonlinear relations
6 Interpolation (Newton and Lagrange interpolation polynomials)
7 Extrapolation, Inverse Interpolation
8 Numerical Differentiation and Integration (Introduction): Numerical Integration (Trapezoidal Rule)
9 Numerical Integration (Simpson's Rules, Integration with unequal segments)
10 Numerical Differentiation (Finite divided difference formulas)
11 Numerical Solution of Ordinary Differential Equations (Introduction): Euler's Method, Heun's method
12 Numerical Solution of Ordinary Differential Equations: Runge-Kutta Methods, Systems of ODE's
13 Boundary-Value Problems for ODEs
14 Numerical Analysis Applications in Chemical Engineering
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes