Computer Science and Communication courses

1. Designing of Surviving plus Depending Distribution Systems
Matters in the designing of distributed systems, distribution O.S., Superior phase protocols, distributed shared memory, O.O. distribution systems, distribution directory services, mistake tolerance matters, matters of surviving, depending, robust.
2. Superior Networking: Computers, Tele communication plus Packet
Switch: Standard program in C.S. depart.
3. Formal Methods for Software Reliable:
Standard program in C.S. depart.
4-Data base plus Data Mining:
Database designing plus usage of D.B.M.S., Relations models plus Relations algebra plus designing values, networking modeling, object-orientation designing, transaction process, Data log, temporary data bases, Superior contents from data ware housing, information detection, data mining, middle ware etc.
5-Superior OS Designing
Relative studying of O.S.; U.N.I.X., Multi, U.N.I.X. File System plus Measuring, The Log Constructed Filing System, Server less Networking Filing Systems, The Coding Filing System, A.F.S., Virtual Memory, User Phase Virtual Memory, Software Mistakes in Isolated manner, On request Distillation, X-Kernel, Active Messages, Global Networking Schedules, Networking Optimizing, Synchronizing, Schedules, Extensible OS, Matters of Safety in O.S., Cryptographic filing systems.
6-Date hypothesis plus Coding
General idea; General Fundamentals - Entropy plus communal knowledge; Without loss Source Coding - Source entropy rating; Kraft not equality; Huffman coding; Asymptotic equi partition property; widespread codes; Noisy canal Codes - Channel capability; Random channel coding; Noisy channel coding theorem for separate memory less channels; Typical sequence; mistake exponents; response; incessant plus Gaussian channels; Loss Source code - tempo- buckle functioning; Random source code; Joint source-channel code plus the separate theorem.
7-Machine Studying
General idea of Machine studying, Conceptual studying, edition Spaces. Inductive prejudice. introduction of choice Trees, over fitting, prune. evaluate supposition. Bayesian studying, Bayes best Classifier, Naive Bayes Classifier, Bayesian Networking. Computational studying Theory. Instance- Based education, k-Nearest Neighbor erudition, close by prejudiced Linear Regression. Genetic Algorithms, Genetic Programming. studying Sets of Rules. Analytic studying, Rein forcement studying., P.A.C. models, hidden Markov models, Genetic algorithms.
8-Embedded Systems:
Standard program in C.S. depart.
9- Quantum Information Processing
Quantum compute models, quantum algorithms, quantum tree searching, quantum wavelets,