Information Package / Course Catalogue
| Course Code | : EEE572 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 2 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 6 |
Learning pattern recognition techniques and application areas. To learn the basics of classification.
Low level signal characterization of pretreatments, signal behavior and properties Simulation and attribute optimization in classifier structure under attribute distribution Defining patterns as a statistical decision problem Bayesian classifiers, artificial neural networks, fuzzy logic Size and data reduction by linear and nonlinear models Statistical learning theories Support vector machines
| 1. | Understanding Pattern Classification and Application Areas |
| 2. | To compare solutions developed with algorithms that can converge to human learning. |
| 3. | To be able to interpret the differences of the problems that can be provided with intuitive approaches. |
| 4. | Being able to follow the research topics developing in the field of Pattern Classification; To be able to make presentations by preparing short seminars on this subject. |
| 5. | To gain experience in reading and writing articles. |
| 1. | Pattern Classification: R.O. Duda, P.E. Hart, D.G. Stork 2. Baskı, Wiley, 2000. |
| 2. | Neural networks for pattern recognition : C. M. Bishop, Oxford University Press, 1995. |
| 3. | Statistical Pattern Recognition: A. Webb, 2. Baskı, Wiley, 2002. |
| 4. | Introduction to Machine Learning: E. Alpaydın, MIT Press, 2004. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Assignment | 2 | %10 |
| Term Assignment | 1 | %5 |
| Project | 1 | %70 |
| Midterm Examination | 1 | %15 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 2 | 2 | 56 |
| Lecture - Practice | 14 | 2 | 2 | 56 |
| Assignment | 2 | 3 | 2 | 10 |
| Term Project | 1 | 7 | 2 | 9 |
| Project | 1 | 10 | 3 | 13 |
| Midterm Examination | 1 | 5 | 1 | 6 |
| TOTAL WORKLOAD (hours) | 150 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | |
OÇ-1 | 3 | 3 | 3 | 3 | 4 | 3 | 4 |
OÇ-2 | 4 | 4 | 4 | 3 | 5 | 4 | 3 |
OÇ-3 | 3 | 3 | 5 | 5 | 5 | 4 | 3 |
OÇ-4 | 3 | 3 | 3 | 3 | 4 | 3 | 4 |
OÇ-5 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |