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Default RGPV CSE 8Th Sem Syllabus

I want the syllabus of B.Tech Computer Science and Engineering 8th Semester of Rajiv Gandhi Proudyogiki Vishwavidyalaya So can you provide me?
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Old March 26th, 2020, 09:34 PM
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Default Re: RGPV CSE 8Th Sem Syllabus

I am providing you the syllabus of B.Tech Computer Science and Engineering 8th Semester of Rajiv Gandhi Proudyogiki Vishwavidyalaya

RGPV B.Tech CSE 8Th Sem Syllabus

CS-801 – Soft Computing

Unit – I

Soft Computing : Introduction of soft computing, soft computing vs. hard computing,
various types of soft computing techniques, applications of soft computing.
Artificial Intelligence : Introduction, Various types of production systems, characteristics of
production systems, breadth first search, depth first search techniques, other Search
Techniques like hill Climbing, Best first Search, A* algorithm, AO* Algorithms and various types
of control strategies. Knowledge representation issues, Prepositional and predicate logic,
monotonic and non monotonic reasoning, forward Reasoning, backward reasoning, Weak &
Strong Slot & filler structures, NLP.

Unit – II
Neural Network : Structure and Function of a single neuron: Biological neuron, artificial neuron,
definition of ANN, Taxonomy of neural net, Difference between ANN and human brain,
characteristics and applications of ANN, single layer network, Perceptron training algorithm,
Linear separability, Widrow & Hebb;s learning rule/Delta rule, ADALINE, MADALINE, AI v/s
ANN. Introduction of MLP, different activation functions, Error back propagation algorithm,
derivation of BBPA, momentum, limitation, characteristics and application of EBPA,

Unit – III
Counter propagation network, architecture, functioning & characteristics of counter Propagation
network, Hopfield/ Recurrent network, configuration, stability constraints, associative memory,
and characteristics, limitations and applications. Hopfield v/s Boltzman machine. Adaptive
Resonance Theory: Architecture, classifications, Implementation and training. Associative

Unit – IV
Fuzzy Logic: Fuzzy set theory, Fuzzy set versus crisp set, Crisp relation & fuzzy relations,
Fuzzy systems: crisp logic, fuzzy logic, introduction & features of membership functions, Fuzzy
rule base system : fuzzy propositions, formation, decomposition & aggregation of fuzzy rules,
fuzzy reasoning, fuzzy inference systems, fuzzy decision making & Applications of fuzzy logic.

Unit – V
Genetic algorithm : Fundamentals, basic concepts, working principle, encoding, fitness function,
reproduction, Genetic modeling: Inheritance operator, cross over, inversion & deletion, mutation
operator, Bitwise operator, Generational Cycle, Convergence of GA, Applications & advances in
GA, Differences & similarities between GA & other traditional methods.

CS-802 – Web Engineering

Web Engineering: Introduction, History, Evolution and Need, Time line, Motivation, Categories
& Characteristics of Web Applications, Web Engineering Models, Software Engineering v/s Web
Engineering. World Wide Web: Introduction to TCP/IP and WAP, DNS, Email, TelNet, HTTP
and FTP.
Browser and search engines: Introduction, Search fundamentals, Search strategies,
Directories search engines and Meta search engines, Working of the search engines.
Web Servers: Introduction, Features, caching, case study-IIS, Apache.

Information Architecture: Role, Collaboration and Communication, Organizing Information,
Organizational Challenges, Organizing Web sites parameters and Intranets
Website Design: Development, Development phases, Design issues, Conceptual Design,
High-Level Design, Indexing the Right Stuff, Grouping Content. Architectural Page Mockups,
Design Sketches, Navigation Systems. Searching Systems, Good & bad web design, Process
of Web Publishing. Web-site enhancement, submission of website to search engines.
Web security: issues, security audit. Web effort estimation, Productivity Measurement, Quality
usability and reliability. Requirements Engineering for Web Applications: Introduction,
Fundamentals, Requirement Source, Type, ,Notations Tools. Principles Requirements
Engineering Activities, Adapting RE Methods to Web Application.

Technologies for Web Applications I:
HTML and DHTML: Introduction, Structure of documents, Elements, Linking, Anchor Attributes,
Image Maps, Meta Information, Image Preliminaries, Layouts, Backgrounds, Colors and Text,
Fonts, Tables, Frames and layers, Audio and Video Support with HTML Database integration,
CSS, Positioning with Style sheets, Forms Control, Form Elements.
Cookies: Creating and Reading

Technologies for Web Applications II:
XML: Introduction, HTML Vs XML, Validation of documents, DTD, Ways to use, XML for data
files, Embedding XML into HTML documents, Converting XML to HTML for Display, Displaying
XML using CSS and XSL, Rewriting HTML as XML, Relationship between HTML, SGML and
XML, web personalization , Semantic web, Semantic Web Services, Ontology.

E- Commerce: Business Models, Infrastructure, Creating an E-commerce Web Site,
Environment and Opportunities. Modes & Approaches, Marketing & Advertising Concepts.
Electronic Publishing issues, approaches, legalities and technologies,
Secure Web document, Digital Signatures and Firewalls, Cyber crime and laws, IT Act.
Electronic Cash, Electronic Payment Systems: RTGS, NEFT, Internet Banking, Credit/Debit
Card. Security: Digital Certificates & Signatures, SSL, SET, 3D Secure Protocol.
Grading System 2013 - 14
Suggested Experiments:
At least ten practical experiments based on above syllabus and a mini project is desirable to
be completed by a group of three that cover following.
2. PHP
3. XML
4. Java Script, CGI, PERL
5. ASP
6. Configuration of Web Servers.

CS-8201 – Network Management

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

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

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.

CS-8203 – Data Mining and Knowledge Discovery

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.

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, HOLAP

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.

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,.

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.

CS-8301 – Bioinformatics

Unit-I Introduction

Introduction to bioinformatics, objectives of bioinformatics, Basic chemistry of nucleic acids,
structure of DNA & RNA, Genes, structure of bacterial chromosome, cloning methodology, Data
maintenance and Integrity Tasks.

Unit-II Bioinformatics Databases & Image Processing

Types of databases, Nucleotide sequence databases, Protein sequence databases, Protein
structure databases, Normalization, Data cleaning and transformation, Protein folding, protein
function, proteinpurification and characterization, Introduction to Java clients, CORBA, Using
MYSQL, Feature Extraction.

Unit-III Sequence Alignment and database searching

Introduction to sequence analysis, Models for sequence analysis, Methods of optimal alignment,
Tools for sequence alignment, Dynamics Programming, Heuristic Methods, Multiple sequence

Unit-IV Gene Finding and Expression

Cracking the Genome, Biological decoder ring, finding genes through mathematics & learning,
Genes prediction tools, Gene Mapping, Application of Mapping, Modes of Gene Expression
data, Mining the Gene Expression Data

Unit-V Proteomics & Problem solving in Bioinformatics

Proteome analysis, tools for proteome analysis, Genetic networks, Network properties and
analysis, complete pathway simulation: E-cell, Genomic analysis for DNA & Protein sequences ,
Strategies and options for similarity search , flowcharts for protein structure prediction .

CS-8302 – Digital Image Processing

Digital Image fundamentals, A simple image model, Sampling and Quantization. Relationship
between pixels. Imaging geometry. Image acquisition systems, Different types of digital images

Image transformations, Introduction to Fourier transforms, Discrete Fourier transforms, Fast
Fourier transform, Walsh transformation, Hadmord transformation, Discrete Cosine

Image enhancement, Filters in spatial and frequency domains, Histogram based processing.
Image subtraction, Averaging, Image smoothing, Nedion filtering, Low pass filtering, Image
sharpening by High pass filtering.

Image encoding and segmentation, Encoding: Mapping, Quantizer, Coder. Error free
compression, Lossy Compression schemes. JPEG Compression standard. Detection of
discontinuation by point detection, Line detection, edge detection, Edge linking and boundary
detection, Local analysis, Global processing via Hough transforms and graph theoretic

Mathematical morphology- Binary, Dilation, crosses, Opening and closing, Simple methods of
representation, Signatures, Boundary segments, Skeleton of a region, Polynomial

CS-8303 – Wireless Network

Unit 1
Introduction of Wireless Networks, Different Generations of Wireless Networks.
Characteristics of the Wireless Medium: Radio Propagation Mechanisms, Path Loss Modelling
and Signal Coverage, Effect of Multipath and Doppler, Channel Measurement and Modelling

Unit 2
Network Planning: Introduction, Wireless Network Topologies, Cellular Topology, Cell
Fundamentals, Signal to Interferences Radio Calculations, Network Planning for CDMA
Wireless Network Operations: Mobility Management, Radio Resources and Power Management

Unit 3
Multiple Division Techniques: FDMA, TDMA, CDMA, OFDM, SDMA. Comparison of Multiple
Division Techniques, Modulation Techniques – AM, FM, FSK, PSK, QPSK, QAM, 16QAM
Mobile Data Networks: Introduction, Data Oriented CDPD Network, GPRS, EDGE and High
Data Rates, SMS in GSM, Mobile Application Protocols.

Unit 4
Introduction to Wireless LAN, Evolution of WLAN, Wireless Home Networking, Technologies for
Home Area Network (HAN), Overview of IEEE 802.11, Reference Architecture, PHY and MAC
Layer, Wireless ATM, HIPERLAN.

IEEE 802.15 WPAN, HomeRF, Bluetooth, Interference between Bluetooth and 802.11, Adhoc
Networks, Introduction to 2.5 G and 3 G Networks.


Rajiv Gandhi Proudyogiki Vishwavidyalaya
Airport Bypass Road, Gandhi Nagar, Bhopal, Madhya Pradesh 462036
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