Information Package / Course Catalogue
Numerical Computational Methods and Engineering Design
Course Code: EE483
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The aim of this course is to understand the numeric solutions methods and algorithms to solve engineering problems by computer.

Course Content

Mathematical Modeling and Engineering Problem Solving, Approximations and Round Off Errors, Accuracy and Precision, Error Propagation, The Bisection Method, Roots of Equations, Gauss Elimination , LU Decomposition and Matrix Inversion, Currents and Voltages in Resistor Circuits, Optimization, Golden-Section Search, Least-Squares Regression, Curve Fitting, Boundary-Value and Eigenvalue Problems

Name of Lecturer(s)
Learning Outcomes
1.1. General knowledge about the numerical methods and modelling is obtained.
2.2. General knowledge about the error propagation is obtained.
3.3. General knowledge about the roots of equations is obtained.
4.4. General knowledge about the optimization is obtained.
5.5. General knowledge about the curve fitting is obtained.
Recommended or Required Reading
1.1. Steven Chapra and Raymond Canale, Numerical Methods for Engineers, Sixth Ed., 2009
2.2. J. H. Mathews and K. D. Fink, NUMERICAL METHODS: Using Matlab, 4th Ed., 2004
Weekly Detailed Course Contents
Week 1 - Theoretical
Mathematical Modeling and Engineering Problem Solving
Week 1 - Preparation Work
Chapra and Canale, Chapter 1
Week 2 - Theoretical
Approximations and Round Off Errors
Week 2 - Preparation Work
Chapra and Canale, Chapter 3
Week 3 - Theoretical
Accuracy and Precision
Week 3 - Preparation Work
Chapra and Canale, Chapter 3
Week 4 - Theoretical
Error Propagation
Week 4 - Preparation Work
Chapra and Canale, Chapter 4
Week 5 - Theoretical
The Bisection Method
Week 5 - Preparation Work
Chapra and Canale, Chapter 5
Week 6 - Theoretical
Roots of Equations
Week 6 - Preparation Work
Chapra and Canale, Chapter 5-8
Week 7 - Theoretical
Gauss Elimination Method
Week 7 - Preparation Work
Chapra and Canale, Chapter 9
Week 8 - Theoretical
LU Decomposition and Matrix Inversion
Week 8 - Preparation Work
Chapra and Canale, Chapter 10
Week 9 - Theoretical
Applications: Currents and voltages in resistor circuits, Spring-mass systems
Week 9 - Preparation Work
Chapra and Canale, Chapter 9-12
Week 10 - Theoretical
Optimization
Week 10 - Preparation Work
Chapra and Canale, Chapter 13
Week 11 - Theoretical
Golden-Section Search, Newton’s method
Week 11 - Preparation Work
Chapra and Canale, Chapter 16
Week 12 - Theoretical
Least-Squares Regression
Week 12 - Preparation Work
Chapra and Canale, Chapter 17
Week 13 - Theoretical
Curve Fitting methods
Week 13 - Preparation Work
Chapra and Canale, Chapter 17-20
Week 14 - Theoretical
Applications: students’ presentations on selected engineering problems
Week 14 - Preparation Work
Chapra and Canale, Chapter 20
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Assignment1%10
Midterm Examination1%25
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141356
Assignment1336
Individual Work141014
Midterm Examination113115
Final Examination132234
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
2
2
2
2
2
2
2
2
2
2
2
OÇ-2
2
2
2
2
2
2
2
2
2
2
2
OÇ-3
2
2
2
2
2
2
2
2
2
2
2
OÇ-4
2
2
2
2
2
2
2
2
2
2
2
OÇ-5
2
2
2
2
2
2
2
2
2
2
2
Adnan Menderes University - Information Package / Course Catalogue
2026