| 1 | To enable students to learn a wide range of noise removal methods, from classical filtering methods to deep learning based techniques at the theoretical and practical level. |
| 2 | To understand the effects of different types of noise on signals and to teach how to reduce these noises with appropriate methods. |
| 3 | To gain the ability to use noise cancellation techniques in different application areas such as biomedical signals, audio and image processing. |
| 4 | To provide students with the ability to produce creative and effective solutions to noise problems encountered in research and development processes. |
| 5 | To encourage students to conduct academic research and develop projects in the field of noise cancellation and to provide them with advanced knowledge and skills in this field. |
| 6 | To gain the ability to analyse the performance of noise abatement methods and to select the most appropriate method for different situations. |