ACADEMICS
Course Detail
ELE 409 Digital Signal Processing Laboratory
2017-2018 Fall term information
The course is open this term
| Supervisor(s): | Dr. Umut Sezen | |
| Assistant(s): | Ömer Haliloğlu Cansu Sunu Dr. Barış Yüksekkaya Mevlüt Said Saraçoğlu | |
| Place | Day | Hours |
|---|---|---|
| - | ||
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://ects.hacettepe.edu.tr) in real-time and displayed here. Please check the appropriate page on the original site against any technical problems.
ELE409 - DIGITAL SIGNAL PROCESSING LABORATORY
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| DIGITAL SIGNAL PROCESSING LABORATORY | ELE409 | 7th Semester | 0 | 3 | 1 | 2 |
| Prerequisite(s) | ||||||
| Course language | English | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Question and Answer Experiment Other: This course must be taken together with ELE407 DIGITAL SIGNAL PROCESSING. | |||||
| Instructor (s) | Faculty members | |||||
| Course objective | Successful students are expected to know application of time domain and frequency domain signal processing methods in Matlab, Labview or similar environment. | |||||
| Learning outcomes |
| |||||
| Course Content | Sampling, decimation and interpolation. Reconstruction and effects of aliasing. Design and implementation of digital filters. Quantization and effects of quantization on Digital systems. Windowing functions and their properties. Implementation and investigation of discrete Fourier transform and Fast Fourier transform algorithms. Experiments using speech and image signals. | |||||
| References | 1. Oppenheim , A.V. and R.W. Schafer, Discrete-time Signal Processing, .Pearson, 2010. 2. Lecture Notes. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | |
| Week 2 | DFT , Upsampling, Downsampling |
| Week 3 | |
| Week 4 | Analysis of Discrete-Time Systems |
| Week 5 | |
| Week 6 | Effect of Quantization and Phase Shift |
| Week 7 | |
| Week 8 | IIR Filter Design |
| Week 9 | |
| Week 10 | Windowing and FIR Filter Design |
| Week 11 | |
| Week 12 | Discrete-Time Filtering using DFT |
| Week 13 | |
| Week 14 | Image Processing |
| Week 15 | Preparation for Final exam |
| Week 16 | Final Exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 7 | 50 |
| 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 | 0 | 0 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 50 |
| Percentage of final exam contributing grade succes | 0 | 50 |
| Total | 100 | |
Workload and ECTS calculation
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 0 | 0 | 0 |
| Laboratory | 7 | 3 | 21 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 7 | 4 | 28 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 0 | 0 | 0 |
| Midterms (Study duration) | 0 | 0 | 0 |
| Final Exam (Study duration) | 1 | 12 | 12 |
| Total Workload | 15 | 19 | 52 |
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