fundamentals of design methodology and software for processing and transmitting data in computer networks.
- programming languages for client-server applications (JAVA, C #, PHP,).
- methods and technologies to create dynamic WEB-sites and control communications between them,
- programming technology for clients and servers toaccess resources of WEB-servers.

databases, systems of artificial intelligence

Classification of visual images. Software development and processing of visual images. Shape and color features. Color convertion, smoothing and contrasting. Segmentation of color. Models lossless and lossy compression. Key algorithms: skeleton, contours. 3-D images and their description. Segmentation of images. Analysis methods of segmentation: advantages and disadvantages. Decomposition of graphs. Boundaries, thresholds, expanding areas. The hierarchical decomposition. Indexing and searching. Classes feature extraction methods. Clustering features. Storing and searching databases. Pattern recognition. Basic and advanced features. Criteria for comparison, similarity functions

• Richard Szeliski. Computer Vision: Algorithms and Applications . Springer, 2010 .
• Gonzalez R., Woods R., Eddins C. Digital Image Processing in MATLAB. Technosphere. 2006.
• Yane B. Digital image processing. Technosphere. 2007.

Current control (70%): written reports on laboratory work (40%), independent work (30% 0
• Final control (30%, exam), testing (20%), oral examination - (10%)