TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ENGINEERING |
| INDUSTRIAL ENGINEERING PR. | |
| Code | ENM252 |
| Name | Numerical Analysis |
| Term | 2025-2026 Academic Year |
| Semester | 4. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. ZEYNEP ÖZKURT |
| Course Instructor |
The current term course schedule has not been prepared yet. Previous term groups and teaching staff are shown.
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Course Goal / Objective
The aim of this course is to introduce various numerical analysis methods to the students and to solve the mathematical problems in different areas with numerical analysis methods.
Course Content
In this course is tauched solving nonlinear equations, solving linear equations, interpolation, numerical integrations
Course Precondition
none
Resources
Richard L. Burden, J. Douglas Faires (2000). Numerical Analysis, Brooks Cole; 7th edition.
Notes
Behiç Çağal (1989), Sayısal Analiz, Seç Yayın Dağıtım, İstanbul.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Numerical solutions can comment on the error source. |
| LO02 | It calculate root / roots of a function. |
| LO03 | solve linear system of equations. |
| LO04 | find the inverse of the matrix |
| LO05 | calculate the matrix determinant |
| LO06 | calculate approximate valuation of polynomials |
| LO07 | calculate numerical integration |
| LO08 | examine the errors in the calculations |
| LO09 | solve nonlinear equations |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Acquires sufficient knowledge in mathematics, science and Industrial Engineering discipline-specific subjects; acquires the ability to use theoretical and applied knowledge in these fields in complex engineering problems. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquires the ability to identify, define, formulate and analytically solve complex Industrial Engineering problems; and has the ability to select and apply appropriate analysis and modelling methods for this purpose. | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Acquires the ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; acquires the ability to apply modern design methods for this purpose. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Acquires the ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Industrial Engineering applications and acquires the ability to use information technologies effectively. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Acquire the skills to design and conduct experiments, collect data, analyze and interpret results to investigate complex Industrial Engineering problems or discipline-specific research topics. | 3 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Have the ability to work effectively in disciplinary and multi-disciplinary teams or individually. | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Ability to communicate effectively in Turkish, both verbally and in writing; knowledge of at least one foreign language; ability to write and understand effective reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | They have awareness of the necessity of lifelong learning; they have the ability to access information, follow developments in science and technology, and constantly renew themselves. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Acting in accordance with ethical principles, becoming knowledgeable about the standards used in engineering practices with awareness of professional and ethical responsibility. | 3 |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Learn about business practices such as project management, risk management and change management, and is aware of entrepreneurship and innovation. | |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Informed about the universal and societal impacts of engineering practices on health, environment and safety, and the contemporary problems reflected in the field of engineering, and is aware of the legal consequences of engineering solutions. | |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Benefit from the power of effective communication in professional life and has the ability to interpret developments correctly. | 4 |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to design, develop, implement and improve integrated systems that include machines, people, time, information or money. | |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | By applying modern design methods, they have the ability to design, develop, implement and improve complex products, processes, businesses and systems under realistic conditions and constraints such as cost, environment, sustainable development, energy, manufacturability, ethics, health, safety and political issues. | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Meaning and importance of numerical analysis, Number systems and general information about error | Required readings and solving problems | Öğretim Yöntemleri: Anlatım |
| 2 | in Non-Linear Equations Bisection and Newton's Methods, | Required readings and solving problems | Öğretim Yöntemleri: Anlatım |
| 3 | Beams and Bairstow Methods in the Solution of Nonlinear Equations, | Required readings and solving problems | Öğretim Yöntemleri: Anlatım |
| 4 | Linear equation systems, matrix inversion and information about determinants, | Required readings and solving problems | Öğretim Yöntemleri: Anlatım |
| 5 | Gaussian Elimination and Gauss-Jordan Methods in the Solution of Linear Equations, | Required readings and solving problems | Öğretim Yöntemleri: Anlatım |
| 6 | Gauss Destruction and Gauss-Jordan Methods in the Inversion of Matrix Reversal and Determinant, | Required readings and solving problems | Öğretim Yöntemleri: Anlatım |
| 7 | Gauss-Seidel Method for Solution of Linear Equations, | Required readings and solving problems | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | İnterpolation, Linear interpolation, Lagrange interpolation | Required readings and solving problems | Öğretim Yöntemleri: Anlatım |
| 10 | Divided Differences Interpolation, | Required readings and solving problems | Öğretim Yöntemleri: Anlatım |
| 11 | Differences Interpolation, | Required readings and solving problems | Öğretim Yöntemleri: Anlatım |
| 12 | Back Differences Interpolation, | Required readings and solving problems | Öğretim Yöntemleri: Anlatım |
| 13 | Numerical Integral Calculation Methods, | Required readings and solving problems | Öğretim Yöntemleri: Anlatım |
| 14 | Application of Numerical Integration Calculation Methods to Interval, | Required readings and solving problems | Öğretim Yöntemleri: Anlatım |
| 15 | Exercises | Required readings and solving problems | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 16 | Term Exams | Required readings and solving problems | Öğretim Yöntemleri: Anlatım |
| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Assessment (Exam) Methods and Criteria
Current term shares have not yet been determined. Shares of the previous term are shown.
| 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 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
| Final Exam | 1 | 16 | 16 |
| Total Workload (Hour) | 78 | ||
| Total Workload / 25 (h) | 3,12 | ||
| ECTS | 3 ECTS | ||