COURSE CONTENT
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Basic assumptions, correcting and detecting error patterns, finding the most likely codeword transmitted, error-detecting codes and error-correcting codes; Linear codes, generating and parity check matrices; Some bounds for codes, perfect codes; Hamming codes, the extended Golay code, Reed-Muller (RM) codes.
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COURSE CONTENT
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Introduction to spectral theory; Linear operators; Boundary conditions and definition of Sturm- Liouville operators; Lagrange identity; Positive, symetric and selfadjoint Sturm-Liouville operators; Eigenvalues and eigenfunctions of selfadjoint operators; Examples of eigenvalues and eigenfunctions; Finding the solutions of Sturm-Liouville equation; Getting the solutions by
consecutive approximation; Asymptotics of functions; Obtaining the asymptotics of the solutions of Sturm-Liouville equations; Getting the asymphtotics of eigenvalues; Calculating the asymphtotics of eigenfunctions.
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COURSE CONTENT
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Encryption schemes, symmetric-key encryption; Fiestal ciphers and DES; Algorithms, complexitiy, and modular arithmetic, quadratic residues, primality testing, factoring and square roots, discrete logarithms; One-way and hash functions, RSA, ElGamal, cryptographic protocols.
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