TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ENGINEERING |
| AUTOMOTIVE ENGINEERING PR. (ENGLISH) | |
| Code | AEN261 |
| Name | Numerical Analysis |
| Term | 2016-2017 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Üniversite Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. KADİR AYDIN |
| Course Instructor |
Prof. Dr. MEHMET BİLGİLİ
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The objective of this course is to teach the language of numerical methods, logic and introduction to mathematical calculations in engineering, and application of numerical methods into several science, industry and engineering problems.
Course Content
Introduction to numerial methods; Error concept in numerical analysis; solution methods of nonlinear equations; solution of linear equation systems; solution methods of eigenvalue problems; approximate methods; interpolation, numerical integral, numerical differentiation.
Course Precondition
Yok
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Utilizes computer systems and softwares | |
| PLO02 | - | Is equipped with a variety of skills and techniques in engineering. | |
| PLO03 | - | Generates solutions for the problems in other disciplines by using statistical techniques | |
| PLO04 | - | Designs a system, component or process so as to meet various engineering needs within technical, economic, environmental, manufacturability, sustainability limitations. | |
| PLO05 | - | Comprehends visual, database and web programming techniques and has the ability of writing objective program | |
| PLO06 | - | Examines and learns applications in an enterprise independently, makes critical assesments of problems, formulates problems and selects suitable techniques for solutions. | |
| PLO07 | - | Leads the identification, development and usage of a product or production method. | |
| PLO08 | - | Is aware of the need for lifelong learning and self-renew | |
| PLO09 | - | Has effective oral and written English for technical or non-technical use | |
| PLO10 | - | Uses computers very effectively, makes computer-aided drafting, designs, analysis, and presentations. | |
| PLO11 | - | Improves constantly itself , as well as professional development scientific, social, cultural and artistic fields according to his/her interests and abilities identifying needs of learning. | |
| PLO12 | - | Is aware of the technical and ethical responsibilities, has inquisitive and innovative quality |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction, Error concept in numerical methods | Lecture notes | |
| 2 | Nonlinear equation system, root of nonlinear equations | Lecture notes | |
| 3 | Bisection method, Newton Raphson method | Lecture notes | |
| 4 | Secant method, linear system of equations, direct methods | Lecture notes | |
| 5 | Gauss Elimination method | Lecture notes | |
| 6 | LU decomposition method | Lecture notes | |
| 7 | Eigenvalue problems, solution by analytical method | Lecture notes | |
| 8 | Midterm examination | Writing exam | |
| 9 | Force method for the biggest eigenvalue , Force method for the smallest eigenvalue | Lecture notes | |
| 10 | Interpolation | Lecture notes | |
| 11 | Interpolation polinomials | Lecture notes | |
| 12 | Numerical Integral, Trapezoidal and Simpson methods | Lecture notes | |
| 13 | Gussian Quadrature formulae | Lecture notes | |
| 14 | Numerical Differentiation | Lecture notes | |
| 15 | Numerical solutions of Differantial equations | Lecture notes | |
| 16 | Final Exam | Writing exam | |
| 17 | Final Exam | Writing exam |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 10 | 2 | 20 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 1 | 1 |
| Final Exam | 1 | 1 | 1 |
| Total Workload (Hour) | 106 | ||
| Total Workload / 25 (h) | 4,24 | ||
| ECTS | 4 ECTS | ||