Syllabus of B. Tech. VII Sem CSE (RGPV)

• CS-701 Software Architectures

• CS-702 (A) Computational Intelligence (Departmental Elective)

• CS-702 (B) Deep & Reinforcement Learning (Departmental Elective)

• CS-702 (C) Wireless & Mobile Computing (Departmental Elective)

• CS-702 (D) Big Data (Departmental Elective)

• CS-703 (A) Cryptography & Information Security (Open Elective)

• CS-703 (B) Data Mining and Warehousing (Open Elective)

• CS-703 (C) Agile Software Development (Open Elective)

• CS-703 (D) Disaster Management (Open Elective)

​Syllabus of CS-701 Software Architectures

Source: (rgpv.ac.in)

UNIT-1 :

• Overview of Software development methodology and software quality model

• different models of software development and their issues.

• Introduction to software architecture

• evolution of software architecture

• software components and connectors

• common software architecture frameworks

• Architecture business cycle – architectural patterns – reference model.

UNIT-2 :

• Software architecture models: structural models

• framework models dynamic models

• process models.

• Architectures styles: data flow architecture

• pipes and filters architecture

• call-and return architecture

• data-centered architecture

• layered architecture

• agent based architecture

• Micro-services architecture

• Reactive Architecture

• Representational state transfer architecture etc.

UNIT-3 :

• Software architecture implementation technologies: Software Architecture Description Languages (ADLs)

• Struts Hibernate Node JS Angular JS J2EE – JSP

• Servlets EJBs;

• middleware : JDBC JNDI JMS RMI and CORBA etc.

• Role of UML in software architecture.

UNIT-4 :

• Software Architecture analysis and design : requirements for architecture

• and the life-cycle view of architecture design and analysis methods

• architecture-based economic analysis: Cost Benefit Analysis Method (CBAM) Architecture Tradeoff Analysis Method (ATAM).

• Active Reviews for Intermediate Design (ARID)

• Attribute Driven Design method (ADD)

• architecture reuse

• Domain –specific Software architecture.

UNIT-5 :

• Software Architecture documentation : principles of sound documentation refinement context diagrams

• variability software interfaces.

• Documenting the behavior of software elements and software systems documentation package using a seven-part template.

== END OF UNITS==

Syllabus of CS-702 (A) Computational Intelligence Networks (Departmental Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• Introduction to Computational Intelligence;

• types of Computational Intelligence

• components of Computational Intelligence.

• Concept of Learning/Training model.

• Parametric Models Nonparametric Models.

• Multilayer Networks : Feed Forward network

• Feedback network.

UNIT-2 :

• Fuzzy Systems : Fuzzy set theory: Fuzzy sets and operations

• Membership Functions

• Concept of Fuzzy relations and their composition

• Concept of Fuzzy Measures;

• Fuzzy Logic : Fuzzy Rules Inferencing;

• Fuzzy Control – Selection of Membership Functions

• Fuzzyfication Rule Based Design & Inferencing

• Defuzzyfication.

UNIT-3 :

• Genetic Algorithms : Basic Genetics Concepts

• Working Principle Creation of Offsprings

• Encoding Fitness Function Selection Functions

• Genetic Operators-Reproduction

• Crossover Mutation;

• Genetic Modeling Benefits.

UNIT-4 :

• Rough Set Theory – Introduction

• Fundamental Concepts

• Set approximation

• Rough membership Attributes

• Optimization.

• Hidden Markov Models

• Decision tree model.

UNIT-5 :

• Introduction to Swarm Intelligence

• Swarm Intelligence Techniques : Ant Colony Optimization

• Particle Swarm Optimization

• Bee Colony Optimization etc.

• Applications of Computational Intelligence.

== END OF UNITS==

Syllabus of CS-702 (B) Deep & Reinforcement Learning (Departmental Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• History of Deep Learning

• McCulloch Pitts Neuron Thresholding Logic

• Activation functions Gradient Descent (GD)

• Momentum Based GD Nesterov Accelerated GD

• Stochastic GD AdaGrad RMSProp Adam

• Eigenvalue Decomposition.

• Recurrent Neural Networks

• Backpropagation through time (BPTT)

• Vanishing and Exploding Gradients

• Truncated BPTT GRU LSTMs

• Encoder Decoder Models

• Attention Mechanism Attention overimages.

UNIT-2 :

• Autoencoders and relation to PCA

• Regularization in autoencoders

• Denoisingautoencoders

• Sparse autoencoders Contractive autoencoders

• Regularization : Bias Variance Tradeoff

• L2 regularization Early stopping

• Dataset augmentation

• Parameter sharing and tying

• Injecting noise at input Ensemble methods

• Dropout Batch Normalization

• Instance Normalization

• Group Normalization.

UNIT-3 :

• Greedy Layerwise Pre-training

• Better activation functions

• Better weight initialization methods

• Learning Vectorial Representations Of Words

• Convolutional Neural Networks

• LeNet AlexNet ZF-Net VGGNet

• GoogLeNet ResNet

• Visualizing Convolutional Neural Networks

• Guided Backpropagation Deep Dream

• Deep Art Recent Trends in Deep Learning Architectures.

UNIT-4 :

• Introduction to reinforcement learning(RL)

• Bandit algorithms – UCB PACMedian Elimination

• Policy Gradient Full RL & MDPs Bellman Optimality

• Dynamic Programming – Value iteration

• Policy iteration and Q-learning & Temporal Difference Methods

• Temporal-Difference Learning

• Eligibility Traces Function Approximation

• Least Squares Methods

UNIT-5 :

• Fitted Q Deep Q-Learning

• Advanced Q-learning algorithms

• Learning policies by imitating optimal controllers

• DQN & Policy Gradient Policy Gradient Algorithms for Full RL

• Hierarchical RLPOMDPs

• Actor-Critic Method Inverse reinforcement learning

• Maximum Entropy Deep Inverse Reinforcement Learning

• Generative Adversarial Imitation Learning

• Recent Trends in RL Architectures.

== END OF UNITS==

Syllabus of CS-702 (C) Wireless & Mobile Computing (Departmental Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• Review of traditional networks : Review of LAN MAN WAN Intranet Internet and

• interconnectivity devices : bridges Routers etc.

• Review of TCP/IP Protocol Architecture : ARP/RARP IP addressing

• IP Datagram format and its Delivery

• Routing table format ICMP Messages

• Subnetting Super netting and CIDR DNS.

• NAT : Private addressing and NAT

• SNAT DNAT NAT and firewalls

• VLANS : Concepts Comparison with Real LANS

• Type of VLAN Tagging

• IPV6 : address structure address space and header.

UNIT-2 :

• Study of traditional routing and transport : Routing Protocols: BGP- Concept of hidden network and autonomous system

• An Exterior gateway protocol Different messages of BGP.

• Interior Gateway protocol : RIP OSPF.

• Multiplexing and ports

• TCP : Segment format Sockets

• Synchronization Three Way Hand Shaking

• Variable window size and Flow control

• Timeout and Retransmission algorithms

• Connection Control Silly window Syndrome.

• Example of TCP : Taho Reno Sack etc.

• UDP : Message Encapsulation

• Format and Pseudo header.

UNIT-3 :

• Wireless LAN : Transmission Medium For WLANs

• MAC problems Hidden and Exposed terminals

• Near and Far terminals

• Infrastructure and Ad hoc Networks

• IEEE 802.11- System arch

• Protocol arch Physical layer

• Concept of spread spectrum

• MAC and its management

• Power management Security.

• Mobile IP: unsuitability of Traditional IP;

• Goals Terminology

• Agent advertisement and discovery

• Registration Tunneling techniques.

• Ad hoc network routing : Ad hoc Network routing v/s Traditional IP routing

• types of routing protocols

• Examples : OADV DSDV DSR ZRP etc.

UNIT-4 :

• Mobile transport layer : unsuitability of Traditional TCP;

• I-TCP S-TCP M-TCP.

• Wireless Cellular networks : Cellular system

• Cellular networks v/s WLAN GSM – Services

• system architecture

• Localization and calling

• handover and Roaming.

UNIT-5 :

• Mobile Device Operating Systems : Special Constraints & Requirements Commercial Mobile Operating Systems.

• Software Development Kit: iOS

• Android etc.MCommerce : Structure Pros &Cons

• Mobile Payment System

• Security Issues

== END OF UNITS==

Syllabus of CS-702 (D) Big Data (Departmental Elective )

Source: (rgpv.ac.in)

UNIT-1 :

• Introduction to Big data

• Big data characteristics

• Types of big data

• Traditional versus Big data

• Evolution of Big data

• challenges with Big Data

• Technologies available for Big Data

• Infrastructure for Big data

• Use of Data Analytics

• Desired properties of Big Data system.

UNIT- 2 :

• Introduction to Hadoop

• Core Hadoop components

• Hadoop Eco system

• Hive Physical Architecture

• Hadoop limitations RDBMS Versus Hadoop

• Hadoop Distributed File system

• Processing Data with Hadoop

• Managing Resources and Application with Hadoop YARN

• MapReduce programming

UNIT-3 :

• Introduction to Hive Hive Architecture

• Hive Data types Hive Query Language

• Introduction to Pig Anatomy of Pig

• Pig on Hadoop Use Case for Pig

• ETL Processing Data types in Pig running Pig

• Execution model of Pig

• Operators functionsData types of Pig.

UNIT-4 :

• Introduction to NoSQL NoSQL Business Drivers

• NoSQL Data architectural patterns

• Variations of NOSQL architectural patterns using NoSQL to Manage Big Data

• Introduction to MangoDB

UNIT-5 :

• Mining social Network Graphs : Introduction Applications of social Network mining Social Networks as a Graph

• Types of social Networks

• Clustering of social Graphs Direct Discovery of communities in a social graph

• Introduction to recommender system.

== END OF UNITS==

Syllabus of CS-703 (A) Cryptography & Information Security (Open Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• Mathematical Background for Cryptography : Abstract Algebra Number Theory Modular Inverse Extended Euclid Algorithm

• Fermat’s Little Theorem Euler Phi-Function

• Euler’s theorem.

• Mathematical Background for Cryptography : Abstract Algebra

• Number Theory Modular Inverse

• Extended Euclid Algorithm Fermat’s Little Theorem

• Euler Phi-Function Euler’s theorem.

• Introduction to Cryptography : Principles of Cryptography

• Classical Cryptosystem

• Cryptanalysis on Substitution Cipher (Frequency Analysis)

• Play Fair Cipher Block Cipher. Data Encryption Standard (DES)

• Triple DES Modes of Operation Stream Cipher.

• Principles of Cryptography Classical Cryptosystem

• Cryptanalysis on Substitution Cipher (Frequency Analysis)

• Play Fair Cipher Block Cipher.

• Data Encryption Standard (DES)

• Triple DES Modes of Operation

• Stream Cipher.

UNIT-2 :

• Advanced Encryption Standard (AES)

• Introduction to Public Key Cryptosystem

• Discrete Logarithmic Problem

• Diffie-Hellman Key Exchange Computational & Decisional Diffie-Hellman Problem RSA Assumptions & Cryptosystem

• RSA Signatures & Schnorr Identification Schemes

• Primarily Testing Elliptic Curve over the Reals

• Elliptic curve Modulo a Prime.

• Chinese Remainder Theorem.

UNIT-3 :

• Message Authentication

• Digital Signature Key Management

• Key Exchange Hash Function.

• Universal Hashing

• Cryptographic Hash Function

• MD Secure Hash Algorithm (SHA)

• Digital Signature Standard (DSS)

• Cryptanalysis : Time-Memory Trade-off Attack

• Differential Cryptanalysis.

• Secure channel and authentication system like Kerberos.

UNIT-4 :

• Information Security : Threats in Networks

• Network Security Controls–Architecture

• Wireless Security Honey pots

• Traffic Flow Security Firewalls – Design and Types of Firewalls

• Personal Firewalls IDS

• Email Security : Services Security for Email Attacks Through Emails Privacy-Authentication of Source Message

• Pretty Good Privacy(PGP) S-MIME.

• IP Security : Overview of IPSec

• IP& IP version 6 Authentication

• Encapsulation Security Payload ESP

• Internet Key Exchange IKE

• Web Security : SSL/TLS Basic protocols of security.

• Encoding –Secure Electronic Transaction SET.

UNIT-5 :

• Cryptography and Information Security Tools : Spoofing tools: like Arping etc. Foot printing Tools (ex-nslookup dig Whoisetc..)

• Vulnerabilities Scanning Tools (i.e. Angry IP HPing2

• IP Scanner Global Network Inventory Scanner

• Net Tools Suite Pack.)

• NetBIOS Enumeration Using NetView Tool

• Steganography Merge Streams

• Image Hide Stealth Files Blindsideusing:STools Steghide Steganos.

• Stegdetect Steganalysis – Stego Watch- Stego Detection Tool StegSpy.

• Trojans Detection Tools( i.e. Netstat fPort TCPView

• CurrPorts Tool Process Viewer)

• Lan Scanner Tools (i.e.look@LAN

• Wireshark Tcpdump).

• DoS Attack Understanding Tools- Jolt2 Bubonic.c

• Land and LaTierra Targa Nemesy Blast

• Panther2 Crazy Pinger Some Trouble

• UDP Flood FSMax.

== END OF UNITS==

Syllabus of CS-703 (B) Data Mining And Warehousing (Open Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• Data Warehousing : Introduction Delivery Process

• Data warehouse Architecture

• Data Preprocessing : Data cleaning

• Data Integration and transformation Data reduction.

• Data warehouse Design : Datawarehouse schema

• Partitioning strategy Data warehouse Implementation

• Data Marts Meta Data

• Example of a Multidimensional Data model.

• Introduction to Pattern Warehousing.

UNIT-2 :

• OLAP Systems : Basic concepts

• OLAP queries Types of OLAP servers

• OLAP operations etc.

• Data Warehouse Hardware and Operational Design : Security

• Backup And Recovery

UNIT-3 :

• Introduction to Data& Data Mining : Data Types Quality of data

• Data Preprocessing Similarity measures

• Summary statistics Data distributions

• Basic data mining tasks

• Data Mining V/s knowledge discovery in databases.

• Issues in Data mining.

• Introduction to Fuzzy sets and fuzzy logic.

UNIT-4 :

• Supervised Learning : Classification: Statistical-based algorithms

• Distance-based algorithms

• Decision tree-based algorithms

• Neural network-based algorithms

• Rule-based algorithms

• Probabilistic Classifiers

UNIT-5 :

• Clustering & Association Rule mining : Hierarchical algorithms

• Partitional algorithms Clustering large databases – BIRCH

• DBSCAN CURE algorithms.

• Association rules : Parallel and distributed algorithms such as Apriori and FP growth algorithms.

== END OF UNITS==

Syllabus of CS-703 (C) Agile Software Development (Open Elective )

Source: (rgpv.ac.in)

UNIT-1 :

• Fundamentals of Agile Process : Introduction and background

• Agile Manifesto and Principles

• Stakeholders and Challenges

• Overview of Agile Development Models : Scrum Extreme Programming

• Feature Driven Development

• Crystal Kanban and Lean Software Development.

UNIT-2 :

• Agile Projects : Planning for Agile Teams: Scrum Teams

• XP Teams General Agile Teams

• Team Distribution;

• Agile Project Lifecycles : Typical Agile Project Lifecycles

• Phase Activities Product Vision

• Release Planning : Creating the Product Backlog

• User Stories Prioritizing and Estimating

• Creating the Release Plan;

• Monitoring and Adapting : Managing Risks and Issues

• Retrospectives.

UNIT-3 :

• Introduction to Scrum : Agile Scrum Framework

• \Scrum Artifacts Meetings

• Activities and Roles Scrum Team Simulation

• Scrum Planning Principles Product and Release Planning

• Sprinting : Planning Execution

• Review and Retrospective; User story definition and Characteristics

• Acceptance tests and Verifying stories

• Burn down chart Daily scrum

• Scrum Case Study.

UNIT-4 :

• Introduction to Extreme Programming (XP) : XP Lifecycle The XP Team

• XP Concepts : Refactoring Technical Debt

• Timeboxing Stories Velocity;

• Adopting XP : Pre-requisites Challenges;

• Applying XP : Thinking- Pair Programming Collaborating

• Release Planning Development;

• XP Case Study.

UNIT-5 :

• Agile Software Design and Development : Agile design practices

• Role of design Principles

• Need and significance of Refactoring

• Refactoring Techniques Continuous Integration

• Automated build tools Version control;

• Agility and Quality Assurance : Agile Interaction Design

• Agile approach to Quality Assurance

• Test Driven Development

• Pair programming: Issues and Challenges.

== END OF UNITS==

Syllabus of CS-703 (D) Disaster Management (Open Elective )

Source: (rgpv.ac.in)

UNIT-1 : INTRODUCTION TO DISASTERS

• Definition : Disaster Hazard Vulnerability Resilience

• Risks – Disasters: Types of disasters – Earthquake

• Landslide Flood Drought

• Fire etc – Classification Causes

• Impacts including social economic

• political environmental health

• psychosocial etc.

• Differential impacts- in terms of caste class gender age location

• disability – Global trends in disasters: urban disasters

• pandemics complexemergencies

• Climatechange-DosandDont’sduringvarious types of Disasters

UNIT-2 : APPROACHES TO DISASTER RISK REDUCTION

• Disaster cycle – Phases Culture of safety

• prevention mitigation and preparedness community based DRR

• Structural- nonstructural measures

• Roles and responsibilities of- community

• Panchayati Raj Institutions/Urban Local Bodies (PRIs/ULBs)

• States Centre and other stake-holders- Institutional Processess and Framework at State and Central Level- State Disaster Management Authority(SDMA) – Early Warning System – Advisories from Appropriate Agencies.

UNIT-3 : INTER-RELATIONSHIP BETWEEN DISASTERS AND DEVELOPMENT

• Factors affecting Vulnerabilities

• differential impacts

• impact of Development projects such as dams

• embankments changes in Land-use etc.

• Climate Change Adaptation- IPCC Scenario and Scenarios in the context of India – Relevance of indigenous knowledge

• appropriate technology and local resources

UNIT-4 : DISASTER RISK MANAGEMENT IN INDIA

• Hazard and Vulnerability profile of India

• Components of Disaster Relief : Water Food Sanitation

• Shelter Health Waste Management

• Institutional arrangements (Mitigation Response and Preparedness)

• Disaster Management Act and Policy – Other related policies

• plans programmes and legislation – Role of GIS and Information Technology Components in Preparedness

• Risk Assessment Response and Recovery

• Phases of Disaster – Disaster Damage Assessment

UNIT-5 : DISASTER MANAGEMENT : APPLICATIONS AND CASE STUDIES AND FIELD WORKS

• Landslide Hazard Zonation : Case Studies

• Earthquake Vulnerability Assessment of Buildings and Infrastructure : Case Studies

• Drought Assessment : Case Studies

• Coastal Flooding : Storm Surge Assessment

• Floods : Fluvial and Pluvial

• Flooding : Case Studies;

• Forest Fire : Case Studies

• Man Made disasters : Case Studies

• Space Based Inputs for Disaster Mitigation and Management and field works related to disaster management.

== END OF UNITS==

==End of Syllabus==