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EEE 546: INFORMATION THEORY AND CODING
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| bet | 36/48 | | Sana | 02.01.2024 | | Hajmi | 327 Kb. | | #129611 |
Bog'liq BACHELOR OF SCIENCE ELECTRICAL ELECTRONICS ENGINEERINGEEE 546: INFORMATION THEORY AND CODING
Review of probability theory: Sample space, Conditional probability, probability distributions, probability distribution functions, stochastic processes, statistical averages. Random variable and random process-covariance, Ergodic process, Markov process Source Coding: Mathematical model for information sources, Average mutual Information, Entropy in discrete and continuous cases, definition and properties of entropy, Joint and conditional entropy. The problem of unique decipherable code, instantaneous code, Kraft McMillan inequality. Discrete and Analogue Coding: Hufmanns Coding Algorithm, Discrete stationery sources, The Lempel Ziv algorithm, Optimum Quantization Rate, distortion function for memoryless Gaussian source. Upper bound of scalar quantization, vector quantisation, Linear predictive coding. Channel Coding: Channel models, Binary symmetric channel, Discrete memoryless channel, Discrete input contentious output channel, Channel capacity, Shannon fundamental theorem, Shannon Hartley theorem and its implications. Achieving channel capacity with orthogonal signals, channel reliability functions. Block and Convolution Codes: Linear block codes, Hadamard code, Golay code, Cyclic code, encoders, BCH code. Error detection and correction capability, convolutional codes, convolutional encoder, Viterbi algorithm.
EEE 531: CRYPTOGRAPHY AND NETWORK SECURITY
Protocol layers and security protocols, intranets and extranets, security architectures. Cryptographic security protocols. Threats, attacks and vulnerabilities. Security services: Confidentiality, authencitation; integrity; Access control; and availability. Security mechanisms: encryption; data integrity mechanisms; digital signatures; keyed hashes; access control mechanisms. Principles of e-commerce. Distributed and embedded firewalls. Security zones.
EEE 557: NEURAL NETWORKS
Biology neural systems vs. convention serial computers. Pattern recognition theory and decision-making. Artificial neural networks: Perceptions, multi-layer perceptions and back propagation. Hopfied and Hamming networks, self-organizing techniques, Kohomnen networks. Adaptive system: Adaptive resonance theory, Boltzmann machines. Simulated annealing. Genetic algorithms. Hardware realizations. Neural network applications
Knowledge and skill required to provide assurance for information systems for managing business risks. Data Integrity. Security policy and user education. Concepts and methods for planning, designing, implementing,managing, and auditing security at all levels and platforms. Risk assessment associated with accidental and intentional breaches of security. Concurrent and continuous auditing of applications, auditing of system development, access control as a function of system design. Policy and technical issues. Cryptography.
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