7TH SEM IT SYLLABUS RTMNU FILETYPE PDF

Shaktikus Evaluating computer forensic tool needs, computer forensic software Tools, computer forensic hardware tools, validating and testing forensic software Text Books: Sunitha, Pearson Education 5 Compiler Design: Determining what data to collect and analyze, validating forensic data, addressing data, hiding techniques, and performing remote acquisitions UNIT IV: The Basics of Digital Forensics: Introduction to Mobile Computing: The Following syllabus is of Rfmnu University. Scheduling Paradigms, working of Scheduling Text Books: Acceptance Testing and Software Quality: Genome, Genomic sequencing, expressed sequence tags, gene expression, transcriptionfactor binding sites and single nucleotide polymorphism. Systems approach in biology, Central dogma of molecular stllabus, problems in rtmnnu approach and the bioinformatics approach, Overview of the bioinformatics applications. Advantages of expert system, structure of Rule based expert system, characteristics of conventional system and expert system. Designing for the World Wide Web: Test cases, Necessity of test case documentation, Test case design methods, Functional specification based test case design, Use case bases, Application based test case design, Level of test execution. Principle sources of optimization, importance code optimizationtechniques, loop optimization, control flow analysis, data flow analysis, loop invariantcompilation, induction variable removal, elimination of common Subexpression.

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Internetworking concept and Architectural model. Introduction to Multicasting and Multicast routing. Kurose, Keith W. Ross, Pearson Education, Asia. Computer Networks: A systems approach by Larry L. Peterson and Bruce S. Comer, Pearson Education, Asia, UNIT-V Code optimization: Important code optimization techniques, loop optimization, control flow analysis, data flow analysis, Loop invariant computation, Induction variable removal, Elimination of Common sub expression.

Aho, Sethi, Ullman, Pearson education. Principal of Compiler Design — Alfred V. Ullman , Narosa Pub. Discrete-time signals, Discrete-time systems, Analysis of discrete-time LTI systems, Correlation of discrete-time signals. Oppenheim, W. Proakies and D. Video Basics, Interactive Devices. Line, Circle, Ellipse drawing techniques and Algorithms. Clipping about Concave regions. Rendering- Shading, Ray tracing techniques and Color Systems. Graphics Standard — Basic principles of X-windows, X terminal.

Clock-driven scheduling, Priority driven scheduling of periodic tasks. Programming Languages and Tools : Desired language characteristics, Data typing, Control structures, Facilitating hierarchjical decomposition , packages, Run time error handling, Overloading and generics, Multitasking, Lowlevel programming, Task scheduling, Timing specifications, Programming environments, Run time support.

Real Time Communication: Introduction, Network Topologies, Contention based protocol, token based protocol, Stop and go protocol, Polled bus protocol, Hierarchical round robin protocol, Deadline based protocols, Fault tolerant routing.

Liu, Pearson Education. Real Time Systems : C. Unit 2 Principles of scalable performance, performance metrics and measures, speedup performance laws, advanced processor technology, superscaler and vector processors, verified memory, cache memory organizations, shared memory organizations.

Unit 3 Pipeline and superscalar techniques, linear pipeline processors, reservation and latency analysis, collision free scheduling, pipeline schedule optimization, instruction pipeline design, arithmetic pipeline design, superscaler and superpipeline design.

Unit 4 Multiprocessors and multicomputers, multiprocessor system interconnects, cache coherence and synchronization mechanisms, message passing schemes. Unit 5 Multivector and SIMD computers vector processing principles, compound vector processing, SIMD computer organizations scalable multithread and dataflow architectures. Richard Y. Advanced Computer Architecture by D. Learning: Block architecture of learning system, Types of learning, performance Measures UNIT IV Uncertainty Treatment: formal and empirical approaches including Bayesian theory, belief functions, certainty factors and fuzzy sets.

Introduction to Artifitial Intelligence by E. Charniack and D. Mcdermott, Pearson Education. Artifitial Intelligence structures and strategies for complex problem solving, 4th edition, Pearson education. House,

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7TH SEM IT SYLLABUS RTMNU FILETYPE PDF

Vudok Preserving the digital crime scene computer evidence processing steps, legal aspects of collecting and preserving computer forensic evidence, Computer Forensics Analysis and Validation: Compilers and translators, structure of realistic compiler, types of compilers, cross compiler, Bootstrapping, Compiler writing tools, Design of Lexical Analyzer, FLEX tool, Parser generator tool: Summary and reference systems, finding new type of data online. Principle sources of optimization, importance code optimizationtechniques, loop optimization, control flow analysis, data flow analysis, loop invariantcompilation, induction variable removal, elimination of common Subexpression. Problem in code generation, simple code generator, code generationalgorithm, register allocation and assignment, code generation from DAG, heuristicordering of DAGs, Labeling algorithm, peephole optimization Text Books: Fundamentals of System Integration: Introduction to Mobile Computing: Linking Multimedia Object, office suites, word processorsspread sheets, databases, presentation tools, power pointMultimedia authoring tools: Duplication and Preservation of Digital Evidence: Genome, Genomic sequencing, expressed sequence tags, gene expression, transcriptionfactor binding sites and single nucleotide polymorphism. Introduction Data flow testing, Data flow graph, Data flow testing criteria, Comparison of Data flow test selection criteria. Sequences, macromolecular structures, chemical compounds, wyllabus variability and its connection to clinical data. Apriori Algorithm, Generating Association rules from Frequent Item sets, mining various kinds of association rules.

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