BYF705 - DATA ANALYSIS II
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| DATA ANALYSIS II | BYF705 | Fall | 3 | 0 | 3 | 9 |
| Prequisites | Interview | |||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Question and Answer Other | |||||
| Instructor (s) | Assoc. Prof. A. Ruhi Soylu | |||||
| Course objective | Learning basic scientific programming and medical signal processing | |||||
| Learning outcomes |
| |||||
| Course Content | - Programming for digital signal processing - Sampling, decimation, down&upsampling; - Linear system theory; - Fourier transform; - Recording &filtering of 1D, 2D &3D medical signals; - A very brief introduction to statistical signal processing | |||||
| References | - Alan V. Oppenheim, Ronald W. Schafer, John R. Buck : Discrete-Time Signal Processing, Prentice Hall, 1999. - Practical Biomedical Signal Analysis Using MATLAB®, Katarzyn J. Blinowska, Jaroslaw Zygierewicz. CRC Press, Taylor&Francis Group, 2012. - Digital Signal Processing for Medical Imaging Using Matlab, Gopi E.S., Springer, 2013. - Scilab (A Free Software to Matlab), H. Ramchandran, A.S. Nair,ISBN: 978-8121939706 , 2011. - Numerical and statistical methods with SCILAB for science and engineering - Volume 1 &2. greatunpublished.com - Title No.304 , - Gilberto E. Urroz, 2001. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Some preliminary mathematical and biophysical topics; Inroduction to Programming-1 |
| Week 2 | Introduction to Programming-2 |
| Week 3 | Medical signals and linear system theory, |
| Week 4 | Sampling, analog to digital conversion, decimation, down & upsampling |
| Week 5 | First midterm examination& selection of term project????? |
| Week 6 | Fourier transform, filtering of 1D signals |
| Week 7 | Mathematical functions |
| Week 8 | Feature extraction and filtering of 2D signals |
| Week 9 | Statistical aspects of signal processing |
| Week 10 | 2D signal processing-1 |
| Week 11 | Second midterm examination |
| Week 12 | 2D signal processing-2 |
| Week 13 | Simultaneous stimulus production and signal recording |
| Week 14 | Medical video compression, decompression, feature extraction |
| Week 15 | Presentation of the term projects |
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 | 12 | 15 |
| Presentation | 0 | 0 |
| Project | 1 | 10 |
| Seminar | 0 | 0 |
| Midterms | 2 | 25 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 15 | 50 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| 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 | 5 | 70 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 1 | 20 | 20 |
| Homework assignment | 12 | 4 | 48 |
| Midterms (Study duration) | 2 | 12 | 24 |
| Final Exam (Study duration) | 1 | 12 | 12 |
| Total Workload | 44 | 56 | 216 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Graduates have knowledge related to the biophysical principles underlying all processes of life at the level of cell/tissue/organ/system | X | ||||
| 2. Has an ability use his/her higher intellectual processes such as critical thinking, problem solving decision development during his/her education period | X | ||||
| 3. Can take part in some research activities to contribute to the solution of a problem in the field of biophysics | X | ||||
| 4. Awaring of the fact that biophysics is a multidisciplinary field, follows the developments in other branches of the Medical&Basic Sciences | X | ||||
| 5. Can use computer software and laboratory equipment to produce appropriate stimulus, acquire the biological signals under the ideal conditions, quantitatively analyse the raw data | X | ||||
| 6. Acquired knowledge at an expertise level in statistical methods. Can choose the most suitable method for his/her research | |||||
| 7. Is aware of the importance of the ethical rules and regulations and perform laboratory research as defined by the GLP, Bio-Safety principles | |||||
| 8. Has the capacity of successfully preparing and presenting the report of the research work he/she takes part in, publishing at least one manuscript | |||||
| 9. Follows the activities of the national&international organizations related to his/her expertise and takes part in them | |||||
| 10. Shares the knowledge he/she acquired from biophysics with partners from all parts of the society; contributes to the formation of the knowledge-based society | |||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest