Computer Engineering
Course Details
KTO KARATAY UNIVERSITY
Faculty of Engineering and Natural Science
Programme of Computer Engineering
Course Details
Faculty of Engineering and Natural Science
Programme of Computer Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05050011 | Signals and Systems | 2025 | Autumn | 5 | 4+0+0 | 4 | 6 |
| 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) | Asst. Prof. Neşe ÖZKAN YILMAZ |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Neşe ÖZKAN YILMAZ | A BLOK-130 | [email protected] | 7812 |
Course Content
Sinyaller ve Sistemlere Giriş, Sürekli-Ayrık Zamanlı Sinyaller, Sürekli-Ayrık Zamanlı LTI Sistemler, LTI Sistemlerin Özellikleri ve Blok Diyagramlar, Üstel Fonksiyonlar için Sürekli LTI Sistemlerin Cevabı, Periyodik Olmayan Sinyallerde Fourier Serisi, Periyodik Sinyallerde Fourier Serisi Fourier Analizi – I, Periyodik Sinyaller ve Sürekli Zamanda Fourier Transform, Üstel Fonksiyonlar için -Ayrık LTI Sistemlerin Cevabı, Periyodik Olmayan Sinyallerde Fourier Serisi, Periyodik Sinyallerde Fourier Serisi, Z-transform
Objectives of the Course
Starting from the identifier and carrier unit function, which we call the signal, by creating mathematical models, distributions and statistics, to provide a basis for signal and related signal systems by learning a basic theoretical content including all active communication technologies
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | X |
| 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. | 2 |
| P5 | An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics | 2 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | To analyze digital and analog signal analysis. | P.2.11 | 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 | Signal and system representations |
| 2 | Signal and system relationships |
| 3 | Linear/time-independent systems and convolution. |
| 4 | Fourier series representation |
| 5 | Continuous-time Fourier transform |
| 6 | Discrete-time Fourier transform |
| 7 | Evolution and Fourier relationships |
| 8 | Frequency characterization and signal analysis of signals |
| 9 | Sampling |
| 10 | Sample analysis |
| 11 | Laplace transform |
| 12 | Linear system analysis on the Laplace axis |
| 13 | Z transformation |
| 14 | Z transformation |
Textbook or Material
| Resources | Lecture notes |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| 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 | 3 | 42 |
| Midterms | 1 | 32 | 32 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| 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 | 34 | 34 |
| 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 | P2 |
|---|---|---|
| O1 | To analyze digital and analog signal analysis. | 5 |