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 |
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 |
| Midterm Examinations (including preparation) | 1 | 6 | 6 |
| Final Examinations (including preparation) | 1 | 10 | 10 |
| Quiz | 1 | 6 | 6 |
| Total Workload | 103 | ||
| Total Workload / 25 | 4,12 | ||
| Credits ECTS | 4 | ||