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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Apriori Algorithm, Generating Association rules from Frequent Item sets, mining various kinds of association rules. Runtime Memory Management — Storage Organization, Storage allocation strategies, symbol table management and organization.
Data and File Format Standards: 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. Power Series expansion, Partial fraction Expansion methodcausality and stability. Systems approach in biology, Ir dogma of molecular biology, problems in molecular approach and the bioinformatics approach, Overview of the bioinformatics applications.
Kruse II and Jay G. Introduction to Cluster Computing, Cluster Middleware: Molecular Biology and Bioinformatics: Software Testing Tools by Dr. Kataria and Sons, N.
Syllabus: RTMNU BE Electrical: Syllabus: Electrical Engineering Nagpur University
Introduction to Mobile Computing: Introduction Data flow testing, Data flow graph, Data flow testing criteria, Comparison of Data flow test selection criteria.
Business Intelligence and Big Data: Error Detection And Recovery: Bioinformatics objectives and overviews, Interdisciplinary nature of Bioinformatics, Data integration, Data analysis, Major Bioinformatics databases and tools.
Principle sources of optimization, importance code optimizationtechniques, loop optimization, control flow analysis, data flow analysis, loop invariantcompilation, induction variable removal, elimination of common Subexpression. Mobility Management and Control: Evaluating computer forensic tool needs, computer forensic software Tools, computer forensic hardware tools, validating and testing forensic software Text Books: 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: What is Digital forensics?
Genome, Genomic sequencing, expressed sequence tags, gene expression, transcriptionfactor binding sites and single nucleotide polymorphism.
The Following syllabus is of Nagpur University. Why preprocess the data?
The Internet sllabus Multimedia: Kakde, 4th Edition, University Science Press. Sequences, macromolecular structures, chemical compounds, generic variability and its connection to clinical data.
Definition, motives, and classification of cyber crimes. Types of acceptance testing, Acceptance criteria, Acceptance test plan and execution, Special Tests: System Infrastructure, Traditional paradigms for distributed computing, Web Services, Grid standards: Representation of patterns and relationships: Principle and Practice”, Fifth Edition, Pearson.
Alfred Aho, Ssm Sethi, J. Dongarra, Elsevier India Pvt. Need of Testing, Basic concepts-errors, faults, defects,failures, objective of testing, central issue in testing, Testing activities, V-Model, Sourcesof information for test cases, Monitoring and Measuring Test Execution, Test tools andAutomation, Limitation of Testing.
Latex and submitted to the department for internal evaluation. Frames, scripts, predicate logic, semantic network, example of knowledge representationschemes, Truth maintenance system.
Amino acids, Protein structure, Secondary, Tertiary and Quaternary structure, Protein folding and function, Nucleic acid-Protein interaction. Advantages of expert system, structure of Rule based expert stllabus, characteristics of conventional system and expert system.
Determining what data to collect and analyze, validating forensic data, addressing data, hiding techniques, and performing remote acquisitions UNIT IV: Mining Frequent Patterns and Association: Sunitha, Pearson Education 5 Compiler Design: Fundamentals of System Integration: Computer Forensics Evidence Capture: Grid Scheduling and Resource Management: 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: Introduction of Data Mining: Arch Bachelor Of Architecture, Others.
Scheduling Paradigms, working of Scheduling Text Books: Introduction to FFT algorithm: Evolving Technologies For Multimedia Systems: Preserving the digital crime scene computer evidence processing steps, legal aspects of collecting and preserving computer forensic evidence, Computer Forensics Analysis and Validation: System Test Categories and Test Design: Koegel Buford Reference Books: Network forensics overview, performing live acquisitions, developing standard procedures for network forensics, using network tools UNIT III: