Information
| Unit | FACULTY OF ENGINEERING |
| ELECTRICAL-ELECTRONIC ENGINEERING PR. (ENGLISH) | |
| Code | EEE228 |
| Name | Numerical Methods |
| Term | 2018-2019 Academic Year |
| Semester | 4. Semester |
| Duration (T+A) | 3-2 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 4 National Credit |
| Teaching Language | İngilizce |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. MUSTAFA GÖK |
| Course Instructor |
Prof. Dr. MUSTAFA GÖK
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Introduce numerical methods and modern programming tools to solve complex analytical problems using computer systems.Develop problem solving skills using computer programming. Introduce algorithm developing methods.
Course Content
Engineering applications of numerical methods, approximation and precision,discussion of numeric errors, Surveys and applications of numerical techniques related to matrix inversion, systems of linear equations and optimization, finite difference expressions, interpolation and approximation, numerical differentiation and integration. The problem of speed, accuracy and applicability of the topics are examined with related algorithms.
Course Precondition
Resources
Notes
Numerical Methods for Engineers, S. Chapra and R. Canale
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Selects the proper numerical method for an analytical problem. |
| LO02 | Performs statistical analyzes using regression and interpolation methods. |
| LO03 | Writes small programs to apply numerical methods. |
| LO04 | Does computational performance analysis of the various numerical solutions of the same problem. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Has capability in those fields of mathematics and physics that form the foundations of engineering. | 0 |
| PLO02 | - | Grasps the main knowledge in the basic topics of electrical and electronic engineering. | 0 |
| PLO03 | - | Comprehends the functional integrity of the knowledge gathered in the fields of basic engineering and electrical-electronics engineering. | 4 |
| PLO04 | - | Identifies problems and analyzes the identified problems based on the gathered professional knowledge. | 0 |
| PLO05 | - | Formulates and solves a given theoretical problem using the knowledge of basic engineering. | 3 |
| PLO06 | - | Has aptitude for computer and information technologies | 0 |
| PLO07 | - | Knows English at a level adequate to comprehend the main points of a scientific text, either general or about his profession, written in English. | 4 |
| PLO08 | - | Has the ability to apply the knowledge of electrical-electronic engineering to profession-specific tools and devices. | 0 |
| PLO09 | - | Has the ability to write a computer code towards a specific purpose using a familiar programming language. | 0 |
| PLO10 | - | Has the ability to work either through a purpose oriented program or in union within a group where responsibilities are shared. | 3 |
| PLO11 | - | Has the aptitude to identify proper sources of information, reaches them and uses them efficiently. | 3 |
| PLO12 | - | Becomes able to communicate with other people with a proper style and uses an appropriate language. | 0 |
| PLO13 | - | Internalizes the ethical values prescribed by his profession in particular and by the professional life in general. | 0 |
| PLO14 | - | Has consciousness about the scientific, social, historical, economical and political facts of the society, world and age lived in. | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Analytical solution numerical solution comparision | Review of the simple differential equation problems | |
| 2 | Error Definitions, Precision and Accuracy | Read lecture notes | |
| 3 | Roots of Equations Bracketing Methods | Read lecture notes | |
| 4 | Roots of Equations Open Methods | Read lecture notes | |
| 5 | Optimization | Read lecture notes | |
| 6 | Linear Algebraic Equations and Matrices | Read lecture notes | |
| 7 | Midterm | Review lecture notes | |
| 8 | Gaus Elimination | Read lecture notes | |
| 9 | LU Factoring | Read lecture notes | |
| 10 | Matrix Inverse and Condition | Read lecture notes | |
| 11 | Gaus Seidel Method | Read lecture notes | |
| 12 | Eigenvectors | Read lecture notes | |
| 13 | Lineer Regression | Read lecture notes | |
| 14 | Polynomial Interpolation | Read lecture notes | |
| 15 | Fourier Series | Read lecture notes | |
| 16 | Final Exam | Review lecture notes. | |
| 17 | Final Exam | Review lecture notes. |
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 | 5 | 70 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 5 | 5 |
| Final Exam | 1 | 15 | 15 |
| Total Workload (Hour) | 160 | ||
| Total Workload / 25 (h) | 6,40 | ||
| ECTS | 6 ECTS | ||