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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Proakis, Manolakis ” Digital Signal Processing: Mining Frequent Patterns and Association: Compression Schemes and standards: Introduction to Mobile Computing: Aho and Jeffery D. Summary and reference systems, finding sen type of data online.

Syllabus: RTMNU BE Electrical: Syllabus: Electrical Engineering Nagpur University

Kruse II and Jay G. Business Intelligence and Big Data: Rectangular, Hamming, Hanning, Bartlett andblackman Window.

Introduction Data flow testing, Data flow graph, Data flow testing criteria, Comparison ig Data flow test selection criteria.

Designing for the World Wide Web: Duplication and Preservation of Digital Evidence: WAP model, architecture, wireless datagram protocol, wireless transaction protocol, wireless session protocols.

Mechanical Engineering Ebooks Download/ Mechanical Engineering Notes |

Dongarra, Elsevier India Pvt. Data and File Format Standards: Evaluating computer forensic tool needs, computer forensic software Tools, computer forensic hardware tools, validating and testing forensic software Text Books: Genome, Genomic sequencing, expressed sequence tags, gene expression, transcriptionfactor binding sites and single nucleotide polymorphism.


Grid Scheduling and Resource Management: Power Series expansion, Partial fraction Expansion methodcausality and stability. Error Detection And Recovery: What is Digital forensics? Aho, Sethi and Ullman, Addiison Wesley.

The Internet and Multimedia: The Basics of Digital Forensics: Introduction to Cluster Computing, Cluster Middleware: Architectures and Systems, Vol. Determining what data to collect and analyze, validating forensic data, addressing data, hiding techniques, and performing remote acquisitions UNIT IV: Network Security practices, authentication applications-Kerberos, x.

Knowledge acquisition methods, iit 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.

Nagpur Centres

Principle sources of optimization, importance code optimizationtechniques, loop optimization, control flow analysis, data flow analysis, loop invariantcompilation, induction variable removal, elimination of common Subexpression.

Client server testing, Web application testing and Mobile application testing, fire view of software quality, ISO quality characteristics, ISO Breadth-first search, Depth-first search, Sen uniformed search techniques.

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: Fundamentals of System Integration: Definition, motives, and classification of cyber crimes.


The Following syllabus is of Nagpur University.

Processing Crime and Incident Scenes: Sunitha, Pearson Education 5 Compiler Design: Alfred Aho, Ravi Sethi, J. Mobility Management and Control: Amino acids, Protein structure, Secondary, Tertiary and Quaternary structure, Protein folding and function, Nucleic acid-Protein interaction.

Basic concepts of Testing: 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: Scheduling Paradigms, working of Scheduling Text Books: Advantages of expert rtmun, structure of Rule based expert system, characteristics of conventional system and expert system.

Issues in knowledge representation, Approaches to knowledge representation, introductionto ontologyLogic and Inferences: Representation of patterns and relationships: Computational representations of molecular biological data storage techniques: