Mechatronics Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Mechatronics Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Mechatronics Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05560004 | Signals and Systems | 3 | Spring | 6 | 2+1+0 | 2 | 5 |
| 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 | Prof. Ali Bülent UŞAKLI |
| Instructor(s) | - |
| Instructor Assistant(s) | Res. Asst. Emre OFLAZ |
Course Content
Introduction to signals and systems, Classification of signals, Basic operations on signals, Convolution, Fourier
Objectives of the Course
This class will introduce you to the fundamental ideas of signals and system analysis.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | X |
| Specialization / Field Courses | |
| 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 of mathematics, science, and Mechatronics Engineering disciplines; Ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. | 5 |
| P5 | An ability to design and conduct experiments, collect data, analyze, and interpret results for the study of complex engineering problems or research topics specific to Mechatronics Engineering | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Ability to Understand Convolution Sum and Fold Integral | P.1.15 | 1 |
| O2 | Ability to understand time and frequency domain representation of linear signals and systems | P.5.7 | 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 and Familiarization with the teaching environment |
| 2 | Introduction to signals and systems |
| 3 | Classification of signals |
| 4 | Basic operations on signals |
| 5 | Elementary signals |
| 6 | Properties of systems |
| 7 | Quiz |
| 8 | Time domain representation for LTI systems: The Convulsion sum |
| 9 | Midterm |
| 10 | Time domain representation for LTI systems: The Convulsion integral |
| 11 | Frequency Response |
| 12 | Fourier series I |
| 13 | Fourier series II |
| 14 | Fourier transform |
Textbook or Material
| Resources | Signals and Systems, S. Haykin and B. V. Veen, Wiley, 2nd edition. |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | 1 | 15 (%) |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | 1 | 15 (%) |
| Quiz | 1 | 5 (%) |
| Midterms | 1 | 30 (%) |
| Final Exam | 1 | 35 (%) |
| 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 | 5 | 70 |
| Midterms | 1 | 7 | 7 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 14 | 2 | 28 |
| Project | 1 | 7 | 7 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 10 | 10 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 150 | ||
| Total Work Load / 30 | 5 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P5 |
|---|---|---|---|
| O1 | Ability to Understand Convolution Sum and Fold Integral | 5 | - |
| O2 | Ability to understand time and frequency domain representation of linear signals and systems | - | 5 |