Industrial Engineering

Numerical Analysis(IND376)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
IND376 Numerical Analysis 5 3 0 0 3 4
Prerequisites ING204
Admission Requirements ING204
Language of Instruction French
Course Type Elective
Course Level Bachelor Degree
Course Instructor(s) Temel ÖNCAN ytoncan@gsu.edu.tr (Email)
Assistant
Objective This is an obligatory course which offers an introduction to numerical analysis to Computer Engineering students. The goal is to present to solution techniques used numerical analysis problems. The students who accomplish this course, will have a basis understanding of numerical algorithms and skill to implement algorithms. Hence, students who take this course will be able to develop numerical solution approaches for various problems.

In summary the objective of this course are as follows:
To describe the numerical analysis problems.
To understand the context and difficulty of the numerical analysis problems.
To have knowledge about solution procedures used in numerical analysis.
To have the ability to implement algorithms for solving complex numerical analysis problems.
Content W 1 : Introduction to analysis

W 2 : Introduction to programming with MATLAB

W 3 : Solution of nonlinear equations

W 4 : Newton and Bisection Methods

W 5 : Solution of the linear equation systems

W 6 : LU factorization

W 7 : Jacobi & Gauss-Seidel Iterative Approaches

W 8 : Curve fitting and interpolation

W 9 : Least square method

W 10 : Midterm

W 11 : Numerical Derivation

W 12 : Taylor series expansion

W 13 : Numerical integration

W 14 : Trapezoidal & Simpson Methods
Course Learning Outcomes A student who accomplish this course will
LO 1: will gain a general overview on the numerical analysis problems
LO 2: will be able to suggest solution approaches for the solution of the numerical analysis problems
LO 3: will have a basic knowledge of novel approaches in numerical analysis area
Teaching and Learning Methods
References Gilat, A. and Subramaniam,V.,2008, Numerical Methods for Engineers and Scientists: An introduction with applications using MATLAB
Print the course contents
Theory Topics
Week Weekly Contents
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 0 60
Contribution of final exam to overall grade 0 40
Toplam 0 100
In-Term Studies
  Number Contribution
Assignments 0 20
Presentation 0 0
Midterm Examinations (including preparation) 1 30
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 1 30
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 2 80
No Program Learning Outcomes Contribution
1 2 3 4 5
1 Knowledge and understanding of a wide range of basic sciences (math, physics, ...) and the main concepts of engineering X
2 Ability to combine the knowledge and skills to solve engineering problems and provide reliable solutions X
3 Ability to select and apply methods of analysis and modeling to ask, reformulate and solve the complex problems of industrial engineering X
4 Ability to conceptualize complex systems, processes or products under practical constraints to improve their performance, ability to use innovative methods of design X
5 Ability to design, select and apply methods and tools needed to solve problems related to the practice of industrial engineering, ability to use computer technology X
6 Ability to design experiments, collect and interpret data and analyze results X
7 Ability to work independently, ability to participate in working groups and have a multidisciplinary team spirit
8 Ability to communicate effectively, ability to speak at least two foreign languages X
9 Awareness of the need for continuous improvement of lifelong learning, ability to keep abreast of scientific and technological developments to use the tools of information management
10 Awareness of professional and ethical responsibility X
11 Knowledge of the concepts of professional life as "project management", "risk management" and "management of change"
12 Knowledge on entrepreneurship, innovation and sustainability
13 Understanding of the effects of Industrial Engineering applications on global and social health, environment and safety.
14 Knowledge of the problems of contemporary society
15 Knowledge of the legal implications of the practice of industrial engineering
Activities Number Period Total Workload
Class Hours 14 3 42
Working Hours out of Class 13 3 39
Assignments 0 0 0
Presentation 0 0 0
Midterm Examinations (including preparation) 1 6 6
Project 0 0 0
Laboratory 0 0 0
Other Applications 0 0 0
Final Examinations (including preparation) 1 10 10
Quiz 1 6 6
Term Paper/ Project 0 0 0
Portfolio Study 0 0 0
Reports 0 0 0
Learning Diary 0 0 0
Thesis/ Project 0 0 0
Seminar 0 0 0
Other 0 0 0
Total Workload 103
Total Workload / 25 4,12
Credits ECTS 4
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