Electrical and Electronics Engineering
Course Details

KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Electrical and Electronics Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Electrical and Electronics Engineering
Course Details

| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05140409 | Numerical Methods for EE | 2 | Spring | 4 | 3+0+0 | 3 | 4 |
| Course Type | Compulsory |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | - |
| Instructor Assistant(s) | - |
Course Content
Matlab Fundamentals, Modeling and Error Analysis, Taylor Series, Numerical Differentiation, Roots of Equations, Interpolation, Numerical Integration, Partial Differential Equations
Objectives of the Course
Matlab Fundamentals, Modeling and Error Analysis, Taylor Series, Numerical Differentiation, Roots of Equations, Interpolation, Numerical Integration, Partial Differential Equations
Contribution of the Course to Field Teaching
| Basic Vocational Courses | X |
| 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 | Solid knowledge base in mathematics, natural sciences, and engineering-related subjects, along with the ability to solve complex engineering problems using this knowledge. | 4 |
| P2 | Ability to identify, describe, mathematically express, and solve challenging engineering problems; the capability to select and utilize appropriate analysis and modeling techniques for this purpose. | 4 |
| P4 | Ability to develop, prefer, and utilize current techniques and tools for analyzing and solving complex problems in engineering applications; proficiency in effectively utilizing information technologies. | 3 |
| P7 | Possession of skills such as effective oral and written communication, knowledge of at least one foreign language, ability to create and comprehend written reports, ability to make presentations, and ability to give and understand clear instructions. | 2 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Can approximately calculate the results of mathematical operations such as derivatives and integrals using numerical methods. | P.2.3 | 1 |
| O2 | Solve complex mathematical problems numerically in a computer environment, create and present reports. | P.7.1 | 6 |
| O3 | Knows different interpolation methodes and applies them to engineering problems. | P.2.4 | 1 |
| O4 | Solve complex mathematical problems numerically in a computer environment, create and present reports. | P.4.3 | 5 |
| O5 | Can solve ordinary differential equations numerically. | P.2.5 | 1 |
| O6 | Solve an engineering problem, design and develop products using Electrical and Electronics knowledge and skills. | P.1.5 | 1 |
| O7 | Performs computer-aided analysis and calculations. | P.4.4 | 6 |
| ** 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 of Numerical Methods |
| 2 | Introduction of Numerical Methods |
| 3 | Matlab Fundamentals |
| 4 | Matlab Fundamentals |
| 5 | Modeling and Error Analysis |
| 6 | Modeling and Error Analysis |
| 7 | Taylor Series |
| 8 | Numerical Differentiation |
| 9 | Numerical Differentiation |
| 10 | Roots of Equations |
| 11 | Interpolation |
| 12 | Numerical Integration |
| 13 | Partial Differential Equations |
| 14 | Partial Differential Equations |
Textbook or Material
| Resources | Numerical Methods for Engineers, by S. Chapra and R.P. Canale, McGraw Hill, (2002). |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 2 | 28 |
| Midterms | 1 | 20 | 20 |
| Quiz | 0 | 0 | 0 |
| Homework | 1 | 4 | 4 |
| Practice | 0 | 0 | 0 |
| 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 | 25 | 25 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 119 | ||
| Total Work Load / 30 | 3,97 | ||
| Course ECTS Credits: | 4 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P2 | P4 | P7 |
|---|---|---|---|---|---|
| O1 | Solve an engineering problem, design and develop products using Electrical and Electronics knowledge and skills. | 5 | - | - | - |
| O2 | Can approximately calculate the results of mathematical operations such as derivatives and integrals using numerical methods. | 4 | - | - | - |
| O3 | Knows different interpolation methodes and applies them to engineering problems. | 3 | - | - | - |
| O4 | Can solve ordinary differential equations numerically. | - | 3 | - | - |
| O5 | Solve complex mathematical problems numerically in a computer environment, create and present reports. | - | 3 | - | - |
| O6 | Performs computer-aided analysis and calculations. | - | - | 4 | - |
| O7 | Solve complex mathematical problems numerically in a computer environment, create and present reports. | - | - | - | 5 |
