Showing posts with label rgpv computer science 7th sem syllabus. Show all posts
Showing posts with label rgpv computer science 7th sem syllabus. Show all posts
TAGS:-RGPV COMPUTER SCIENCE 7TH SEM SYLLABUS I DOWNLOAD RGPV COMPUTER SCIENCE 7TH SEM ELECTIVE SUBJECT SYLLABUS I DOWNLOAD RGPV COMPUTER SCIENCE COMPLETE SYLLABUS I RGTU COMPUTER SCIENCE ENGINEERING SYLLABUS FOR ELECTIVE SUBJECTS
RGPV COMPUTER SCIENCE DATA MINING AND KNOWLEDGE DISCOVERY(CS-7203)
Unit-I
Introduction, to Data warehousing:needs for developing data Warehouse,Data warehouse systems and its Components, Design of Data Warehouse,Dimension and Measures,Data Marts :-Dependent Data Marts, Independents Data Marts &Distributed Data Marts,Conceptual Modeling of Data Warehouses:-Star Schema, Snowflake Schema, Fact Constellations.Multidimensional Data Model & Aggregates.
Introduction, to Data warehousing:needs for developing data Warehouse,Data warehouse systems and its Components, Design of Data Warehouse,Dimension and Measures,Data Marts :-Dependent Data Marts, Independents Data Marts &Distributed Data Marts,Conceptual Modeling of Data Warehouses:-Star Schema, Snowflake Schema, Fact Constellations.Multidimensional Data Model & Aggregates.
Unit-II
OLAP,Characteristics of OLAP System,Motivation for using OLAP,Multidimensional View and Data Cube, Data Cube Implementations, Data Cube Operations,Guidelines for OLAP Implementation, Difference between OLAP & OLTP, OLAP Servers:-ROLAP, MOLAP, HOLAPQueries.UNIT-III
Introduction to Data Mining: Knowledge Discovery, Data Mining Functionalities,Data Mining,System categorization and its Issues. Data Processing :- Data Cleaning, Data Integration and Transformation. Data Reduction, Data Mining Statistics. Guidelines for Successful Data Mining.
Introduction to Data Mining: Knowledge Discovery, Data Mining Functionalities,Data Mining,System categorization and its Issues. Data Processing :- Data Cleaning, Data Integration and Transformation. Data Reduction, Data Mining Statistics. Guidelines for Successful Data Mining.
Unit-IV
Association Rule Mining:-Introduction, Basic, The Task and a Naïve Algorithm, Apriori Algorithms,Improving the efficiency of the Apriori Algorithm, Apriori-Tid,Direct Hasing and Pruning(DHP),Dynamic Itemset Counting (DIC),Mining Frequent Patterns without Candidate Generation (FP-Growth),Performance Evaluation of Algorithms,.
Association Rule Mining:-Introduction, Basic, The Task and a Naïve Algorithm, Apriori Algorithms,Improving the efficiency of the Apriori Algorithm, Apriori-Tid,Direct Hasing and Pruning(DHP),Dynamic Itemset Counting (DIC),Mining Frequent Patterns without Candidate Generation (FP-Growth),Performance Evaluation of Algorithms,.
Unit-V
Classification:-Introduction, Decision Tree, The Tree Induction Algorithm, Split Algorithms Based on Information Theory, Split Algorithm Based on the Gini Index, Overfitting and Pruning, Decision Trees Rules, Naïve Bayes Method.Cluster Analysis:- Introduction, Desired Features of Cluster Analysis, Types of Cluster Analysis Methods:- Partitional Methods, Hierarchical Methods, Density-Based Methods, Dealing with Large Databases. Quality and Validity of Cluster Analysis Methods.
Classification:-Introduction, Decision Tree, The Tree Induction Algorithm, Split Algorithms Based on Information Theory, Split Algorithm Based on the Gini Index, Overfitting and Pruning, Decision Trees Rules, Naïve Bayes Method.Cluster Analysis:- Introduction, Desired Features of Cluster Analysis, Types of Cluster Analysis Methods:- Partitional Methods, Hierarchical Methods, Density-Based Methods, Dealing with Large Databases. Quality and Validity of Cluster Analysis Methods.
References Books:
1. Berson: Data Warehousing & Data Mining &OLAP , TMH2. Jiawei Han and Micheline Kamber, Data Mining Concepts & Techniques, Elsevier Pub.
3. Arun.K.Pujari, Data Mining Techniques, University Press.
4. N.P Gopalan: Data Mining Technique & Trend, PHI
5. Hand, Mannila & Smith: Principle of Data Mining, PHI
6. Tan, Introduction to Data Mining, Pearson Pub
TAGS:- RGPV COMPUTER SCIENCE 7TH SEM SYLLABUS I DOWNLOAD RGPV COMPUTER SCIENCE 7TH SEM ELECTIVE SUBJECT SYLLABUS I RGPV COMPUTER SCIENCE 7TH SEM SYLLABUS I DOWNLOAD RGPV COMPUTER SCIENCE 7TH SEM SYLLABUS IDOWNLOAD RGPV COMPUTER SCIENCE COMPLETE SYLLABUS
RGPV COMPUTER SCIENCE RANDOMIZED ALGORITHMS (CS-7202)
Unit -I
Introduction, A min-cut algorithm, Las Vegas and Monte Carlo, Binary planar partition, A probalistic recurrence, Computational models and time complexity.Unit -II
Markov Chains and Random Walks: A 2-sat example, Markov chains, Random Walks on graphs, Cover times, Graph connectivity.Unit -III
Random Data Structure : The fundamental data structure problem, Treaps, skip lists, Hash tables, Hashing with O(1) time.
Unit -IV
Geometric algorithms and linear programming: Randomized incremental construction, Convex Hulls in the plane,Duality,Half space Intersection,Delanuay triangulation,Trapeziodal decomposition, Binary Spacepartition, The diamenter of point set, Random sampling, Linear programming. Graph algorithms: All pairs shortest paths, The min cut problem, Minimum Spanning tree,Unit -V
Parallel and Distributed Computing: The PRAM Model, Sorting on a PRAM,Maximal independent sets,Perfect Matching, The choice coordinate problem, Byzantine Agreement.References Books:-
1. Randomized Algorithms by R. Motwani and Raghavan, Cambridge press.TAGS:-RGPV COMPUTER SCIENCE 7TH SEM SYLLABUS I RGPV COMPUTER SCIENCE 7TH SEM EMBEDDED COMPUTER SYSTEM SYLLABUS I RGPV EMBEDDED COMPUTER SYSTEM SYLLABUS I RGPV ELECTIVE 7103 SYLLABUS I RGPV CSE 7TH SEM 7103 SYLLABUS I RGPV COMPUTER SCIENCE ELECTIVE SUBJECT LIST
RGPV COMPUTER SCIENCE EMBEDDED COMPUTER SYSTEM (CS-7103)
Unit – I
Introduction to Embedded systems:Embedded Systems Vs General Computing Systems, Classification of Embedded Systems, Major application areas of Embedded Systems, Purpose of Embedded systems ,Core of the Embedded system, Memory, Sensors and Actuators, Communication Interface,Embedded firmware, PCB and Passive Components, Characteristics and Quality attributes of a Embedded System .
Introduction to Embedded systems:Embedded Systems Vs General Computing Systems, Classification of Embedded Systems, Major application areas of Embedded Systems, Purpose of Embedded systems ,Core of the Embedded system, Memory, Sensors and Actuators, Communication Interface,Embedded firmware, PCB and Passive Components, Characteristics and Quality attributes of a Embedded System .
Unit – II
Design of Embedded Systems with 8bit Microcontrollers-8051,Factors for considering in selecting a Controller ,Designing with 8051 microcontroller,Different addressing modes supported by 8051 , Instruction set for 8051 microcontroller.Fundamental issues in Hardware Software Co-Design , Computational models in Embedded Design .
Unit – III
Embedded Hardware & Firmware Design and Development Analog &Digital Electronic components, VLSI & Integrated circuit design, Electronic Design Automation tools , PCB layout Design and its fabrication .Embedded firmware design approaches , Embedded firmware Development Languages ,Programming in Embedded C.Integration and testing of Embedded Hardware and Firmware , Safe & robust Design, Reliability, Faults, errors & Failure, Functional Design, Architecture Design, Prototyping.
Unit -IV
Embedded System Development Environment,Integrated Development Environment (IDE) , Types of files Generated on Cross-Compilation,Disassembler/Decompiler, Simulators, Emulators and Debugging, Boundary Scan
Unit – V
Embedded Product Development Lifecycle(EDLC) and Trends in Embedded Industry What is EDLC ,Objectives of EDLC , Different phases of EDLC , EDLC Approaches-Linear or waterfall model , Iterative Model , Prototyping/Evolutionary Model, Spiral Model,Processor trends in Industry , Embedded OS Trends , Development Language trends,Open Standards, Frameworks and Alliances , Bottlenecks.
Embedded Product Development Lifecycle(EDLC) and Trends in Embedded Industry What is EDLC ,Objectives of EDLC , Different phases of EDLC , EDLC Approaches-Linear or waterfall model , Iterative Model , Prototyping/Evolutionary Model, Spiral Model,Processor trends in Industry , Embedded OS Trends , Development Language trends,Open Standards, Frameworks and Alliances , Bottlenecks.
References Books:
1. Shibu, Introduction to Embedded System:, TMH
2. Barrett ,Embedded Systems :Design and Applications ,Pearson Education
3. Rajkamal, Embeded System, TMH
4. Vahid ,Givargis ,Embedded System Design ,Wiley
5. Balbno, Embedded Micro Computer System Cengage Learning
6. Siewert, Real Time Embeded System & Components, Cengage Learning
7. Peckol, Embeded System, Willey India
TAGS:-rgpv computer science 7th sem syllabus I rgpv computer science 7th sem elective subject syllabus I rgtu cs 7th sem elective subject list I rgpv cse 7th sem syllabus I rgpv syllabus for computer science 7th sem I download rgpv computer science 7th sem syllabus in pdf I rgpv syllabus download in pdf I
RGPV COMPUTER SCIENCE SYLLABUS FOR NETWORK MANAGEMENT (CS-7101)
Unit-I
Introduction to Network Managements: Network Management Framework, Network Based
Managements, Evolution of Network Management: SGMP, CMIP, SNMP. Network
Implementation and Management Strategies, Network Management Categories: Performance
Management, Fault Management, Configuration Management, Security Managements, Accounting Managements. Network Management Configuration: Centralized Configuration, Distributed Configuration. Selected Management Strategy.
Introduction to Network Managements: Network Management Framework, Network Based
Managements, Evolution of Network Management: SGMP, CMIP, SNMP. Network
Implementation and Management Strategies, Network Management Categories: Performance
Management, Fault Management, Configuration Management, Security Managements, Accounting Managements. Network Management Configuration: Centralized Configuration, Distributed Configuration. Selected Management Strategy.
Unit –II
Management Information Base (MIB): Structure of Management Information, NMS Presentation of the SMI, NMS Meter-ware Network View. Remote Monitoring (RMON), RMON Group. Desktop Management: Desktop Management Interface(DMI), DMI Architecture, DMI Browser,DMI/SNMP Mapping, Desktop SNMP Extension Agents. Setting up LAN Access, SNMP Configuration.
Unit-III
Introduction:layering,OSI Layering,TCP/IP Layering,Protocols & Standards,Internet standards,Internet administration, Internet Addresses, Internet protocol: introduction, IP header, IP routing,subnet addressing, subnet mask, special case of IP addresses, Comparative Study of IPV4 & IPV6,port numbers.Address Resolution Protocol:ARP packet format, Proxy ARP, ARP command, ARP Example, Reverse Address Resolution Protocol (RARP): Introduction, RARP Packet format, RARP Examples, RARP server design
Unit-IV
Delivery and Routing of IP Packets:Routing Methods, Static versus Dynamic Routing, Routing table and Routing Module,Classless Addressing: CIDR.Internet Protocol (IP),Datagram, Fragmentation, Options, IP Package. Interior and Exterior Routing, Routing information protocol(RIP), Open shortest path first protocol (OSPF), BGP, GGP. Private Networks. Virtual Private Network (VPN), Network Address Translation (NAT).
Unit –V
Internet Control Message Protocols (ICMP):- Types of message, message format, error reporting,query, checksum, ICMP Package. IGMP, IGMP Message and its Operation, IGMP
Package.Transmission control protocol, Process-to-Process Communication, TCP Services Flow,Control, TCP Timers. TCP Operation, TCP Package.. Application layers protocol, Telnet Protocol,File Transfer Protocol (FTP), Simple Mail Transfer Protocol (SMTP), X-Window system protocol,Remote procedure call, and Network file system.
Reference Books:
- Forouzan, TCP/IP Protocol Suite 4th edition, TMH
- J.Richard Burkey, Network Management Concept and Practice, PHI
- Stevens, TCP/IP Illustrated Volume-I, Pearson
- Tittel: TCP/IP, Cenage Learning
- Uyless Black, TCP/IP and related protocols, McGraw Hill.
- Doughals E. Comer, Internetworking with TCP/IP Vol. I, Principles, Protocols, and Architecture, Prentice Hall, India
