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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Bioinformatics objectives and overviews, Interdisciplinary nature of Bioinformatics, Data integration, Data analysis, Major Bioinformatics databases and tools.
Syllabus: RTMNU BE Electrical: Syllabus: Electrical Engineering Nagpur University
WAP model, architecture, wireless datagram protocol, wireless transaction protocol, wireless session protocols. Advantages of expert system, structure of Rule based expert system, characteristics of conventional system and expert system.
Data recovery defined, data backup and recovery, the role of backup in data recovery, the data recovery solution Evidence Collection and Data Seizure: Why preprocess the data? Koegel Buford Reference Books: The Internet and Multimedia: 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: Linking Multimedia Object, office suites, word processorsspread sheets, databases, presentation tools, power pointMultimedia authoring tools: Molecular Biology and Bioinformatics: Data and File Format Standards: The Information Molecules and Information Flow: 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: Introduction Data flow testing, Data flow graph, Data flow testing criteria, Comparison of Data flow test selection criteria.
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: Acceptance Testing and Software Quality: Sequences, macromolecular structures, chemical compounds, generic variability and its connection to clinical data.
Principle, Algorithms and applications, Pearson Education 2 A. 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. Principle and Practice”, Fifth Edition, Pearson. Determining what data to collect and analyze, validating forensic data, addressing data, hiding techniques, and performing remote acquisitions UNIT IV: Processing Crime and Incident Scenes: Test cases, Necessity of test case slylabus, Test case design methods, Functional specification based test case design, Use case bases, Application based test case design, Level of test execution.
Apriori Algorithm, Generating Association rules from Frequent Item sets, mining various kinds of association rules. Differential and linear Cryptanalysis, Blowfish, RC2, RC5, IDEA, CAST, Characteristic of advance symmetric block cipher, Euler function, Chinese remainder theorem, Discrete logarithm, confidentiality using conventional sylllabus, placement of encryption function traffic, confidentiality, key distribution, random number generator.
Error Detection And Recovery: Principle sources of optimization, importance code optimizationtechniques, loop optimization, control flow analysis, data flow analysis, loop invariantcompilation, induction variable removal, elimination of common Subexpression.
A Practical Approach by J.
What is Digital forensics? System Infrastructure, Traditional paradigms for distributed computing, Web Services, Grid standards: Aho and Jeffery D.
Types of acceptance testing, Acceptance criteria, Acceptance test plan and execution, Special Tests: Storage Allocation And Error Handling: Exploring the role of e-mail in investigations, exploring the roles of the client and server in e-mail, investigating e-mail crimes and violations, understanding e-mail servers, using specialized e-mail forensic tools, Cell phone and mobile device forensics: Grid Scheduling and Resource Management: 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: Client server testing, Web application testing and Mobile application testing, fire view of software quality, ISO quality characteristics, ISO Evaluating computer forensic tool needs, computer forensic software Tools, computer forensic hardware tools, validating and testing forensic software Text Books: The Following syllabus is of Nagpur University.
Software Testing Tools by Dr.
Arch Bachelor Of Architecture, Others. The Basics of Digital Forensics: Kakde, 4th Edition, University Science Press. Mobility Management and Control: Network forensics overview, performing live acquisitions, developing standard procedures for network forensics, using network tools UNIT III: Kruse II and Ir G.
Frames, scripts, predicate logic, semantic network, example of knowledge representationschemes, Truth maintenance system. Systems approach in biology, Central dogma of molecular biology, problems srm molecular approach and the bioinformatics approach, Overview of the bioinformatics applications.
Mechanical Engineering Ebooks Download/ Mechanical Engineering Notes |
Designing for the World Wide Web: Types of authoring tools, card and page based authoringtools, Icon based authoring tools, and Time based authoring tools. Architectures and Systems, Vol. Representation of patterns and relationships: Sunitha, Pearson Education 5 Compiler Design: Issues in knowledge representation, Approaches to knowledge representation, introductionto ontologyLogic and Inferences: Need of Testing, Basic concepts-errors, faults, defects,failures, objective of testing, central issue in testing, Testing activities, V-Model, Iit information for test cases, Monitoring and Measuring Test Execution, Test tools andAutomation, Limitation of Dem.