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Information
| Unit | CEYHAN FACULTY OF ENGINEERING |
| MECHANICAL ENGINEERING PR. | |
| Code | MMB210 |
| Name | Numerical Analysis |
| Term | 2017-2018 Academic Year |
| Semester | 4. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. MEHMET BİLGİLİ |
| Course Instructor |
Prof. Dr. MEHMET BİLGİLİ
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Equipping students with information on a variety of numerical methods used in engineering practice to gain the ability to solve problems.
Course Content
Errors, roots of equations, systems of linear algebraic equations, optimization, curve fitting, numerical differentiation and integration
Course Precondition
Yok
Resources
Notes
12
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Define the basic concepts of analytical and numerical methods for mechanical engineering. |
| LO02 | Use the numerical methods to solve problems in mechanical engineering. |
| LO03 | Make the solution of systems of linear equations using numerical methods. |
| LO04 | Apply the numerical methods to solve interpolation, optimization, derivative and integral problems. |
| LO05 | Define the model by fitting the curve to experimental data. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Beceriler - Bilişsel, Uygulamalı | Understanding the fundamentals of Mechanical Engineering | 1 |
| PLO02 | Beceriler - Bilişsel, Uygulamalı | Being well equipped with knowledge of Mathematics, Science and Basic Engineering | 5 |
| PLO03 | Yetkinlikler - Öğrenme Yetkinliği | Having capability of designing and executing experiments; examining the results and data | 2 |
| PLO04 | Yetkinlikler - Öğrenme Yetkinliği | Being well equipped with various engineering techniques and skills | |
| PLO05 | Yetkinlikler - Öğrenme Yetkinliği | Being able to design a system ,a component or a process with taking into consideration the technical, economic, enviromental, sustainability limitations | |
| PLO06 | Bilgi - Kuramsal, Olgusal | Ability to analyze the applications on a factory without any help, investigate the problems, formulizing and finding a proper solution for the problems | 3 |
| PLO07 | Yetkinlikler - Öğrenme Yetkinliği | Ability to design , developing getting ready for use of a product or manufacturing process | |
| PLO08 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Understanding the importance of life-time learning and being updated | 3 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Having advanced speaking and writing English skills | 1 |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Using Computer effectively; for computed aided design, analysis and illustrating | 4 |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Being prone to teamwork, well communication with others, adaptability to interdisciplinary teams | 3 |
| PLO12 | Bilgi - Kuramsal, Olgusal | Being aware of the technical and ethical responsibility, being curious and innovative | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction, Round of errors | Read the related topics in the lecture notes and reference books | |
| 2 | Roots of equations | Read the related topics in the lecture notes and reference books | |
| 3 | Roots of equations | Read the related topics in the lecture notes and reference books | |
| 4 | Systems of linear algebraic equations | Read the related topics in the lecture notes and reference books | |
| 5 | Systems of linear algebraic equations | Read the related topics in the lecture notes and reference books | |
| 6 | Lineer cebirsel denklem sistemleri, LU decomposition method | Read the related topics in the lecture notes and reference books | |
| 7 | Linear algebraic equations, Gauss siedel method | Read the related topics in the lecture notes and reference books | |
| 8 | Midterm Exam | Midterm Exam | |
| 9 | Optimization | Read the related topics in the lecture notes and reference books | |
| 10 | Curve fitting | Read the related topics in the lecture notes and reference books | |
| 11 | Curve fitting | Read the related topics in the lecture notes and reference books | |
| 12 | Numerical differentiation | Read the related topics in the lecture notes and reference books | |
| 13 | Numerical integration | Read the related topics in the lecture notes and reference books | |
| 14 | Ordinary differential equations | Read the related topics in the lecture notes and reference books | |
| 15 | Partial differential equations | Read the related topics in the lecture notes and reference books | |
| 16 | Final Exam | Final Exam | |
| 17 | Final Exam | Final 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 | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 114 | ||
| Total Workload / 25 (h) | 4,56 | ||
| ECTS | 5 ECTS | ||