Civil Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Civil Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Civil Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05350012 | Numerical Methods for Engineers | 2023 | Autumn | 5 | 2+2+0 | 3 | 3 |
| Course Type | Compulsory |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | English |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Asst. Prof. Esra URAY |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Esra URAY | A-Z33 | [email protected] | 7312 |
Course Content
To teach numerical methods for solving linear and nonlinear systems of equations, numerical differentiation, numerical integration, ordinary and partial differential equations; how to formulate and solve solid, fluid and thermal engineering problems; and programming of numerical methods.
Objectives of the Course
The primary objective of this course is to introduce the student to numerical calculation methods and its role in civil engineering problem-solving.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P1 | Adequate knowledge in mathematics, science and related engineering discipline accumulation; theoretical and practical knowledge in these areas, complex engineering the ability to use in problems | 5 |
| P2 | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Performs regression operations for a certain data set or has information about solving numerical integration. | P.1.66 | 1 |
| O2 | Knows how to apply numerical computation methods to engineering problems or to use modern solution techniques for simple operations. | P.1.67 | 1 |
| O3 | Evaluates the errors obtained in numerical calculation and calculates statistical concepts | P.1.68 | 1 |
| O4 | Solves linear, nonlinear systems of equations or finds roots of equations and polynomials | P.2.16 | 1 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction; overview of numerical methods, their application in engineering. |
| 2 | Sources of error: rounding and truncation errors, absolute/relative error, significant figures. |
| 3 | Statistical concepts; error propagation and analysis. |
| 4 | Nonlinear equation roots I: bisection, regula-falsi |
| 5 | Nonlinear equation roots II: Newton-Raphson, secant, fixed point |
| 6 | Determining the roots and extremum points of a polynomial. |
| 7 | Linear equation systems I: Gaussian elimination, LU decomposition |
| 8 | Systems of Linear Equations II: Jacobi, Gauss-Seidel |
| 9 | Curve fitting and regression I: least squares, linear regression |
| 10 | Regression II: Multiple/Non-Linear Regression and Interpolation |
| 11 | Numerical Integration I: Trapezoid and Simpson's Rules |
| 12 | Digital Integration II and Engineering Applications |
| 13 | Numerical solution of complex engineering problems; general evaluation. |
| 14 | Optimization methods |
Textbook or Material
| Resources | Sayısal Yöntemler ve Matlab Uygulamalarınobel akademik yayıncılık Nurhan Karaboğa |
| Numerical Methods for Engineers-Steven C. Chapra, Raymond Canale-McGraw-Hill Education |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Homework | 1 | 30 (%) |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Midterms | 1 | 30 (%) |
| Final Exam | 1 | 40 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 2 | 28 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 2 | 28 |
| Midterms | 1 | 14 | 14 |
| Quiz | 0 | 0 | 0 |
| Homework | 4 | 5 | 20 |
| Practice | 14 | 2 | 28 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 2 | 2 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 120 | ||
| Total Work Load / 30 | 4 | ||
| Course ECTS Credits: | 4 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P2 |
|---|---|---|---|
| O1 | Performs regression operations for a certain data set or has information about solving numerical integration. | 5 | - |
| O2 | Knows how to apply numerical computation methods to engineering problems or to use modern solution techniques for simple operations. | 5 | - |
| O3 | Evaluates the errors obtained in numerical calculation and calculates statistical concepts | 5 | - |
| O4 | Solves linear, nonlinear systems of equations or finds roots of equations and polynomials | - | 5 |