7TH SEM IT SYLLABUS RTMNU FILETYPE PDF
Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur. 7. .. basis of subject and syllabus contents of his / her previous semester Logging In and Logging Out, Anatomy of Linux OS, Directory Structure, /usr Directory, File Types: . Software Engineering- Sommerville, 7th edition, Pearson education. 7th semester Electrical Engineering Syllabus RTMNU: file/d/0B-K5orfDlo5eb2NDRURBTF9sSUk/edit?usp=sharing. (VLSI) of Rashtrasant Tukadoji Maharaj Nagpur University as I am planning to get admission in this CSE 6th Sem Syllabus Nagpur University.
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Summary and reference systems, finding new type of data online. Mobility Management and Control: Representation of patterns and relationships: Network Security practices, authentication applications-Kerberos, x.
Syllabus: RTMNU BE Electrical: Syllabus: Electrical Engineering Nagpur University
Study of syntax directed definition and syntax directed translation schemes, evaluation orders of SDD’simplementation of SDTS, intermediate: Duplication and Preservation of Digital Evidence: Issues in knowledge representation, Approaches to knowledge representation, introductionto ontologyLogic and Inferences: What is Digital forensics? WAP model, architecture, wireless datagram protocol, wireless transaction protocol, wireless session protocols.
Power Series expansion, Partial fraction Expansion methodcausality and stability. Linking Multimedia Object, office suites, word processorsspread sheets, databases, presentation tools, power pointMultimedia authoring tools: Kruse II and Jay G.
Client server testing, Web application testing and Mobile application testing, fire view of software quality, ISO quality characteristics, ISO Identifying digital evidence, collecting evidence in private sector incident scenes, processing law enforcement crime scenes, preparing for a search securing a computer incident or crime scene, seizing digital evidence at the scene, storing digital evidence, obtaining a digital hash, reviewing a case UNIT V: The Basics of Digital Forensics: Understanding mobile device forensics, understanding Acquisition procedures for cell phones and mobile devices, files present in SIM card, device data, external memory dump, evidences in memory card, operators systems, Android forensics: Dongarra, Elsevier India Pvt.
Knowledge acquisition methods, knowledge engineering process, goals in knowledge system development, basic architecture of expert system, problem domain versus knowledge domain, Development of ES and life cycle of ES.
Koegel Buford Reference Books: The Information Molecules and Information Flow: Sunitha, Pearson Education 5 Compiler Design: Types of acceptance testing, Acceptance criteria, Acceptance test plan and execution, Special Tests: Basic concepts of Testing: Systems approach in biology, Central dogma sllabus molecular biology, problems in molecular approach and the bioinformatics approach, Overview of the bioinformatics applications.
Aho, Sethi and Ullman, Addiison Wesley. Bioinformatics objectives and overviews, Interdisciplinary nature of Bioinformatics, Data integration, Data analysis, Major Bioinformatics databases and tools.
Genome, Genomic sequencing, expressed sequence tags, gene expression, transcriptionfactor binding sites and single nucleotide polymorphism. Sequences, macromolecular structures, chemical compounds, generic variability and its connection to clinical data.
Storage Allocation And Error Handling: Kakde, 4th Edition, University Science Press. Computational representations of molecular biological data storage techniques: 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.
Compression Schemes and standards: Preserving the digital crime scene computer evidence processing steps, legal aspects of collecting and preserving computer forensic evidence, Computer Forensics Analysis and Validation: Apriori Algorithm, Generating Association rules from Frequent Item sets, mining various kinds of association rules.
Determining what data to collect and analyze, validating forensic data, addressing data, hiding techniques, and performing remote acquisitions UNIT IV: Introduction Data flow testing, Data flow graph, Data flow testing criteria, Comparison of Data flow test selection criteria.