Computer Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05050109 | Signals and Systems | 3 | Autumn | 5 | 4+0+0 | 4 | 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 | - |
| Instructor(s) | Asst. Prof. Ali Osman ÇIBIKDİKEN |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Ali Osman ÇIBIKDİKEN | A-124 | [email protected] | 7585 | Monday 14.00-15.00 |
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 | X |
| 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. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Must be able to perform Fourier transform | P.1.8 | 1 |
| O2 | Must gain mathematical background related to signal processing | P.1.9 | 1 |
| O3 | Must learn to Z-transform | P.1.10 | 1,7 |
| ** 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 | Signals and Introduction to Systems |
| 2 | Continuous-Discrete Time Signals |
| 3 | Continuous-Discrete Time LTI Systems |
| 4 | Features of LTI Systems and Block Diagrams |
| 5 | Response of Continuous LTI Systems for Exponential Functions |
| 6 | Non-Periodic Signals Fourier Series |
| 7 | Fourier Series Fourier Analysis in Periodic Signals - I |
| 8 | Midterm Week |
| 9 | Periodic Signals and Fourier Transform in Continuous Time |
| 10 | For Exponential Functions -Response of Advanced LTI Systems |
| 11 | Non-Periodic Signals Fourier Series |
| 12 | Fourier Series in Periodic Signals |
| 13 | Z-transform |
| 14 | Final Week |
Textbook or Material
| Resources | signals and systems ders kitabı |
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 | 4 | 56 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 3 | 42 |
| Midterms | 1 | 22 | 22 |
| 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 | 30 | 30 |
| 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 |
|---|---|---|
| O1 | Must be able to perform Fourier transform | 3 |
| O2 | Must gain mathematical background related to signal processing | 1 |
| O3 | Must learn to Z-transform | 2 |