There are no reviews yet. Be the first to send feedback to the community and the maintainers!
20596-Prolog-and-Artificial-Intelligence
Objectives: Familiarity with a logical programming language; Learning the principles, methods and techniques of artificial intelligence and their implementation in Prolog. Topics: Part I: The Prolog language � Introduction to Prolog; syntax and meaning of Prolog programs; lists, operators, arithmetic; programming examples; controlling backtracking; built-in predicates; programming style and technique; operations on data structures. Part II: Prolog in artificial intelligence � problem-solving as search; heuristic search and A* algorithm; best-first search; problem decomposition and AND/OR graphs; expert systems and knowledge representation; games � the minimax principle, the alpha-beta algorithm.22913-Digital-Image-Proccesing
Image processing is an application of computer science that deals with digital image and video processing. Students study the theoretical and practical foundations required for computer image processing and analysis. The course is accompanied by the MATLAB software package for image and signal processing. Previous knowledge of MATLAB is not required. Topics: Representation of digital images on the computer � basic concepts, grayscale image representation, color images and color models, binary image; Image enhancement � discrete Fourier transform, uses of FFT for image enhancement (sharpening, smoothing, deblurring, reducing cyclical interference), convolution and correlation and their relationship to Fourier transform, KLT transform; Image restoration � grayscale histograms, contrast and brightness, filters for removing noise, smoothing, sharpening and edge detection, filter analysis using Fourier analysis; Geometric operations on images, warping and morphing � interpolation using convolution, image enlargement, image reduction, image transformations, morphing; Image compression � basic concepts of information theory, image compression models, use of FFT and DCT for image compression, image compression standards; Video � video capture and compression, movement prediction, and video compression standards.Bank
ADO.NET Connection Mode OOP 2058620407-Data-Structures-and-Introduction-to-Algorithms
The course is based on a translation of the first 14 chapters of Introduction to Algorithms (2nd ed.), by T.H. Cormen, C.E. Leiserson, R.L. Rivest, and C. Stein (MIT Press, 2001). The course acquaints students with basic concepts and methods related to algorithms and data structures development. Formal criteria for analyzing an algorithmic solution to a given problem are defined.Love Open Source and this site? Check out how you can help us