1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
  3. AUTOMOTIVE ENGINEERING DEPARTMENT
  4. 1503 Automotive Engineering
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
OTOM 506ADVANCED NUMERICAL ANALYSIS3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Compulsory
Course Objective To provide information about numerical methods, data fitting, optimisation, numerical differential and integration.
Course Content Numerical calculations, error analysis, classifications of numerical methods, determination of roots, series, numerical calculations of linear equation sets, data fitting, optimization, numerical integrate and differentiate, numerical solution of differential equations.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1To understand and apply numerical methods.
2Student can determine proper numerical methods for solution.
3To make data fitting, interpolation and extrapolation.
4Optimization from datum.
5Student can obtain numerical differential and integration of the nonlinear equations.
6To solve as numerical of nonlinear differential sets.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11
LO 001           
LO 002           
LO 003           
LO 004           
LO 005           
LO 006           
Sub Total           
Contribution00000000000

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)14570
Assignments3515
Mid-terms12020
Final examination12828
Presentation / Seminar Preparation21020
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Fall1EMRE ARABACI


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
OTOM 506 ADVANCED NUMERICAL ANALYSIS 3 + 0 1 Turkish 2023-2024 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. EMRE ARABACI earabaci@pau.edu.tr TEK A0122 %70
Goals To provide information about numerical methods, data fitting, optimisation, numerical differential and integration.
Content Numerical calculations, error analysis, classifications of numerical methods, determination of roots, series, numerical calculations of linear equation sets, data fitting, optimization, numerical integrate and differentiate, numerical solution of differential equations.
Topics
WeeksTopics
1 Introduction to Numerical Computation, Computer programming with MATLAB
2 Nonlinear equations, Error Analysis, Basic iteration, Newton-Raphson Methods
3 Secant, Baristow Methods
4 Numerical Differentiation, Forward, backward and central differences
5 Numerical integration, Simpson Methods, İnterpolation, Extrapolation
6 Aproximation of Functions
7 Numerical Solution of Nonlinear Differential Equations
8 Partial Differential
9 MID-TERM EXAM
10 Examples on Heat Transfer
11 Examples on Fluid Mechanics
12 Optimization, Single and Multi Parameter Optimization, Random Scan Method
13 Split Half Method, Equal Interval Method,
14 Golden Ratio Method, Coggin Algorithm
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes