ACADEMICS
Course Details
ELE 301 Signals and Systems
2019-2020 Fall term information
The course is open this term
| Supervisor(s): | Dr. Hüseyin Demircioğlu | |
| Place | Day | Hours |
|---|---|---|
| E8 | Monday | 13:00 - 15:45 |
| Supervisor(s): | Dr. Mücahit K. Üner | |
| Place | Day | Hours |
|---|---|---|
| E3 | Monday | 13:00 - 15:45 |
|
Please click here for the course's own web page Last updated by Dr. Mücahit K. Üner on September 23, 2014. |
Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.
Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University (http://akts.hacettepe.edu.tr) in real-time and displayed here. Please check the appropriate page on the original site against any technical problems.
ELE301 - SIGNALS and SYSTEMS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| SIGNALS and SYSTEMS | ELE301 | 5th Semester | 3 | 0 | 3 | 5 |
| Prerequisite(s) | MAT236 Engineering Mathematics II | |||||
| Course language | English | |||||
| Course type | Must | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Question and Answer Problem Solving | |||||
| Instructor (s) | Faculty members | |||||
| Course objective | The aims of this course are as follows: Teach the students the basic properties of continuous and discrete-time sgnals and systems Make them competent in signal and system analysis both in time and frequency domains | |||||
| Learning outcomes |
| |||||
| Course Content | Basic signal and system concepts Properties of linear time-invariant systems Fourier series expansions of continuous and discrete-time periodic signals Fourier transforms of continuous and discrete-time signals Computation of the outputs of linear time-invariant systems Frequency selective filters and the relation between time and frequency The Laplace transform and its region of convergence The z-transform and its region of convergence | |||||
| References | Oppenheim A.V., Willsky A.S., Nawab S.H., Signals and Systems, 2nd Ed., Prentice Hall, 1997. Phillips C.L., Parr J., Riskin E., Signals, Systems, and Transforms, 4th Ed., Prentice Hall, 2007. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Basic signal properties, basic signals in discrete and continuous time. |
| Week 2 | Basic system properties, linear time-invariant (LTI) systems, the convolution integral and the convolution sum |
| Week 3 | Relation betwen LTI system properties and impulse response, Systems defined by differential and difference equations, Infinite and finite impulse response discrete systems, Block diagram representations |
| Week 4 | Fourier series expansion of continuous-time periodic signals, Properties of continuous-time Fourier series |
| Week 5 | Fourier series expansion of discrete-time periodic signals, Properties of discrete-time Fourier series |
| Week 6 | Computation of the output of an LTI system having a periodic input signal, Simple frequency selective filters and the relation between their time and frequency responses |
| Week 7 | The continuous-time Fourier transform, Properties of the continuous-time Fourier transform |
| Week 8 | The discrete-time Fourier transform, Properties of the discrete-time Fourier transform |
| Week 9 | Application of the Fourier transforms to systems defined by differential or difference equations, Duality relations |
| Week 10 | Midterm Exam |
| Week 11 | Sampling of continuous-time signals, The Nyquist criterion, aliasing, reconstruction and bandlimited interpolation, Processing of continuous-time signals by discrete-time systems |
| Week 12 | The Laplace transform and its region of convergence, Poles and zeroes, geometric computation of the continuous-time Fourier transform |
| Week 13 | Properties of the Laplace transform, The z-transform and its region of convergence |
| Week 14 | Poles and zeroes, geometric computation of the discrete-time Fourier transform, Properties of the z-transform |
| Week 15 | Preparation for Final exam |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 0 | 0 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 1 | 40 |
| Final exam | 1 | 60 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 40 |
| Percentage of final exam contributing grade succes | 0 | 60 |
| Total | 100 | |
Workload and ECTS calculation
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 6 | 84 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 0 | 0 | 0 |
| Midterms (Study duration) | 1 | 10 | 10 |
| Final Exam (Study duration) | 1 | 14 | 14 |
| Total Workload | 30 | 33 | 150 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. PO1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline. | X | ||||
| 2. PO2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions. | X | ||||
| 3. PO3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods. | X | ||||
| 4. PO4. Designs a system under realistic constraints using modern methods and tools. | X | ||||
| 5. PO5. Designs and performs an experiment, analyzes and interprets the results. | X | ||||
| 6. PO6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member. | X | ||||
| 7. PO7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology. | X | ||||
| 8. PO8. Performs project planning and time management, plans his/her career development. | X | ||||
| 9. PO9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies. | X | ||||
| 10. PO10. Is competent in oral or written communication; has advanced command of English. | X | ||||
| 11. PO11. Has an awareness of his/her professional, ethical and social responsibilities. | X | ||||
| 12. PO12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems. | X | ||||
| 13. PO13. Is innovative and inquisitive; has a high level of professional self-esteem. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest