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

 

​Syllabus of CS-801 Internet of Things

Source: (rgpv.ac.in)

UNIT-1 :

• IoT definition Characteristics

• IoT conceptual and architectural framework

• Components of IoT ecosystems

• Physical and logical design of IoT

• IoT enablers Modern day IoT applications

• M2M communications IoT vs M2M IoT vs WoT

• IoT reference architecture

• IoT Network configurations IoT LAN IoT WAN

• IoT Node IoT Gateway IoT Proxy

• Review of Basic Microcontrollers and interfacing.

UNIT-2 :

• Define Sensor

• Basic components and challenges of a sensor node

• Sensor features Sensor resolution;

• Sensor classes : Analog Digital Scalar

• Vector Sensors; Sensor Types bias drift

• Hysteresis error quantization error; Actuator;

• Actuator types : Hydraulic Pneumatic electrical

• thermal/magnetic mechanical actuators soft actuators

UNIT-3 :

• Basics of IoT Networking

• IoT Components Functional components of IoT

• IoT service oriented architecture

• IoT challenges 6LowPAN IEEE 802.15.4 ZigBee and its types

• RFID Features

• RFID working principle and applications

• NFC (Near Field communication) Bluetooth

• Wireless Sensor Networks and its Applications

UNIT-4 :

• MQTT MQTT methods and components

• MQTT communication

• topics and applications

• SMQTT CoAP CoAP message types

• CoAP Request-Response model

• XMPP AMQP features and components

• AMQP frame types

UNIT-5 :

• IoT Platforms Arduino Raspberry Pi Board

• Other IoT Platforms; Data Analytics for IoT

• Cloud for IoT Cloud storage models & communication APIs

• Attacks in IoT system vulnerability analysis in IoT

• IoT case studies : Smart Home Smart framing etc.

== END OF UNITS==

 

Syllabus of CS-802 (A) lock Chain Technologies (Departmental Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• Introduction : Overview of Block chain

• Public Ledgers Bit coin Smart Contracts

• Block in a Block chain Transactions

• Distributed Consensus

• Public vs Private Block chain

• Understanding Crypto currency to Block chain

• Permissioned Model of Block chain

• Overview of Security aspects of Block chain;

• Basic Crypto Primitives : Cryptographic Hash Function

• Properties of a hash function

• Hash pointer and Merkle tree

• Digital Signature Public Key Cryptography

• A basic crypto currency

UNIT-2 :

• Understanding Block chain with Crypto currency : Bit coin and Block chain: Creation of coins

• Payments and double spending Bit coin Scripts

• Bit coin P2P Network

• Transaction in Bit coin Network

• Block Mining Block propagation and block relay.

• Working with Consensus in Bit coin : Distributed consensus in open environments Consensus in a Bitcoin network

• Proof of Work (PoW) – basic introduction

• Hash Cash PoW Bit coin PoW

• Attacks on PoW and the monopoly problem

• Proof of Stake Proof of Burn and Proof of Elapsed Time

• The life of a Bitcoin Miner

• Mining Difficulty Mining Pool

UNIT-3 :

• Understanding Block chain for Enterprises : Permissioned Block chain: Permissioned model and use cases

• Design issues for Permissioned block chains

• Execute contracts State machine replication

• Overview of Consensus models for permissioned block chain- Distributed consensus in closed environment

• Paxos RAFT Consensus Byzantine general problem

• Byzantine fault tolerant system

• Lamport-Shostak-Pease BFT Algorithm

• BFT over Asynchronous systems.

UNIT-4 :

• Enterprise application of Block chain : Cross border payments

• Know Your Customer (KYC) Food Security

• Mortgage over Block chain

• Block chain enabled Trade

• We Trade – Trade Finance Network

• Supply Chain Financing

• and Identity on Block chain

UNIT-5 :

• Block chain application development : Hyperledger Fabric- Architecture

• Identities and Policies

• Membership and Access Control

• Channels Transaction Validation

• Writing smart contract using Hyperledger Fabric

• Writing smart contract using Ethereum

• Overview of Ripple and Corda

== END OF UNITS==

 

Syllabus of CS-802 (B) Cloud Computing (Departmental Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• Introduction to Service Oriented Architecture

• Web Services Basic Web Services Architecture

• Introduction to SOAP WSDL and UDDI;

• REST ful services : Definition Characteristics

• Components Types; Software as a Service

• Plat form as a Service

• Organizational scenarios of clouds

• Administering & Monitoring cloud services

• benefits and limitations

• Study of a Hypervisor.

UNIT-2 :

• Utility Computing Elastic Computing

• Ajax : asynchronous ‘rich’ interfaces

• Mashups : User interface

• Services Virtualization Technology : Virtualization applications in enterprises Pitfalls of virtualization Multitenant software : Multi-entity support Multi schema approach

• Multi-tenancy using cloud data stores.

UNIT-3 :

• Data in the cloud : Relational databases

• Cloud file systems: GFS and HDFS

• Features and comparisons among GFS

• HDFS etc Big Table H Base and Dynamo.

• Map-Reduce and extensions : Parallel computing

• The Map-Reduce model : Parallel efficiency of Map Reduce

• Relational operations Enterprise batch processing

• Example/Application of Map-Reduce.

UNIT-4 :

• Cloud security fundamentals

• Vulnerability assessment tool for cloud

• Privacy and Security in cloud : Cloud computing security architecture

• General Issues Trusted Cloud computing

• Security challenges : Virtualization security management-virtual threats

• VM Security Recommendations

• VM-Specific Security techniques

• Secure Execution Environments and Communications in cloud.

UNIT-5 :

• Issues in cloud computing;

• implementing real time application;

• QOS Issues in Cloud Dependability

• data migration streaming in Cloud.

• Cloud Middleware.

• Mobile Cloud Computing.

• Inter Cloud issues.

• Agrid of clouds Sky computing

• load balancing Resource optimization

• Resource dynamic reconfiguration

• Monitoring in Cloud

• Installing cloud platforms and performance evaluation

• Features and functions of cloud computing platforms.

== END OF UNITS==

 

Syllabus of CS-802 (C) High Performance Computing (Departmental Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• Introduction to modern processors : General Purpose cache based architecture performance metric and bench marks

• Moors Law pipelining super clarity SIMD.

• Memory Hierarchies Multi core processors

• Multi threaded processors

• Vector processors- Design principle

• Max performance estimates

• programming for vector architecture.

• Basic Optimizations for serial codes: Scalar profiling common sense optimizations

• Simple measures and their impacts

• role of compilers

• C++ optimizations.

UNIT-2 :

• Data access optimizations : balance analysis and light speed estimates

• storage order Algorithm classifications and assess optimizations

• case studies for data access optimizations.

• Parallel Computers : Shared memory computers

• Distributed memory computers

• hybrid systems Network computers.

UNIT-3 :

• Basics of parallel computing : data and functional parallelism

• parallel scalability- laws metrics factors efficiency and load imbalance.

• Shared memory parallel programming with Open MP : Parallel execution data scoping work sharing using loops

• synchronization Reductions

• loop scheduling and Tasking.

UNIT-4 :

• Efficient Open MP Programming : Program profiling Performance pitfalls

• improving the impact of open MP work sharing constructs

• determining overheads for short loops

• Serilisation and false sharing.

UNIT-5 :

• Distributed Memory parallel programming with MPI : Message passing Message and point to point communication

• collective communication

• non blocking point-to-point communication

• virtual topologies.

• Efficient MPI Programming : MPI performance tools

• communication parameters

• impact of synchronizations sterilizations and contentions

• reductions in communication overhead.

== END OF UNITS==

 

Syllabus of CS-802 (D) Object Oriented Software Engineering  (Departmental Elective )

Source: (rgpv.ac.in)

UNIT-1 :

• Review of Object Oriented Concepts and Principles : The Object Oriented Paradigm

• Basic Concepts

• Software Development Life Cycle and Model Architectures.

UNIT- 2 :

• Introduction to RUP : Basic Concepts Symptoms in Software Development and their Root Causes

• Best Practices of RUP

• RUP software life cycle 4+1 view model

• Various Workflows

UNIT-3 :

• Introduction to UML Notations Relationships

• Stereotypes Study of UML based tools Like Rational Rose

• Poseidon etc.

• Object Oriented Analysis : Conventional v/s OO analysis approach

• Requirement analysis Use case diagram

• Activity diagram Analysis class Model.

UNIT-4 :

• Object Oriented Design : Conventional v/s OO design approach

• Design of CRC cards

• Class diagram Behavioral Modeling: Interaction Diagram

• State chart Diagram

• Implementation Diagram : Component and deployment Diagram.

• Illustrative Case Studies like ATM

• Payroll Course and Registration System.

UNIT-5 :

• Object Oriented Testing : Correctness and consistency of OOA & OOD models

• Testing Strategies and test cases for OO software process

• Project Management

• Rational Tool Mentors.

• Introduction to Design Patterns.

== END OF UNITS==

 

Syllabus of CS-803 (A) Image Processing and Computer Vision (Open Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• Introduction to computer vision and Image processing (CVIP) : Basics of CVIP History of CVIP Evolution of CVIP

• CV Models Image Filtering Image Representations

• Image Statistics Recognition Methodology : Conditioning Labeling

• Grouping Extracting and Matching

• Morphological Image Processing : Introduction Dilation Erosion

• Opening Closing Hit-or-Miss transformation

• Morphological algorithm operations on binary images

• Morphological algorithm operations on gray-scale images

• Thinning Thickening Region growing

• region shrinking.

UNIT-2 :

• Image Representation and Description : Representation schemes

• Boundary descriptors

• Region descriptors Binary Machine Vision : Thresholding Segmentation Connected component labeling

• Hierarchal segmentation Spatial clustering

• Split& merge Rule-based Segmentation

• Motion-based segmentation.

• Area Extraction : Concepts Data-structures Edge

• Line-Linking Hough transform

• Line fitting Curve fitting (Least-square fitting).

UNIT-3 :

• Region Analysis : Region properties External points

• Spatial moments Mixed spatial gray-level moments

• Boundary analysis : Signature properties Shape numbers.

• General Frame Works For Matching : Distance relational approach

• Ordered structural matching

• View class matching

• Models database organization

UNIT-4 :

• Facet Model Recognition : Labeling lines Understanding line drawings Classification of shapes by labeling of edges

• Recognition of shapes Consisting labeling problem

• Back-tracking Algorithm Perspective Projective geometry

• Inverse perspective Projection

• Photogrammetric -from 2D to 3D

• Image matching : Intensity matching of ID signals

• Matching of 2D image Hierarchical image matching.

• Object Models And Matching : 2D representation Global vs.

• Local features

UNIT-5 :

• Knowledge Based Vision : Knowledge representation

• Control-strategies Information Integration.

• Object recognition-Hough transforms and other simple object recognition methods Shape correspondence and shape matching

• Principal component analysis

• feature extraction

• Neural network and Machine learning for image shape recognition

== END OF UNITS==

 

Syllabus of CS-803 (B) Game Theory with Engineering applications (Open Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• Overview : What is a Game Game Design Schema

• Game Design fundamentals Engineering application of game theory

• Design Process : Iterative design Commissions

• Design & Testing of the Board Game

• Introduction to meaningful play

• two kinds of meaningful play- discernable & integrated.

UNIT-2 :

• Introducing design design & meaning

• Semiotics : A brief overview

• four semiotic Concepts

• Context Shapes interpretations.

UNIT-3 :

• Introduction to Systems elements of a System

• Framing Systems open & closed systems

• Introduction to Interactivity

• a multivalent model of interactivity

• interaction & choice choice molecules

• anatomy of choice space of possibility.

UNIT-4 :

• Defining games : overview of digital games

• magic circle.

• Primary Schemas : conceptual framework

• rule play culture.

UNIT-5 :

• Rules : defining rules a deck of cards

• quality of rules rules in context

• Rules on three levels : Operational Constituative

• Implicit Identity of a Game

• Specificity of Rules Rules of Digital games.

• Case Studies : Tic Tac Toe Deck of Cards.

== END OF UNITS==

 

Syllabus of CS-803 (C) Internet of Things (Open Elective )

Source: (rgpv.ac.in)

UNIT-1 :

• IoT definition Characteristics

• IoT conceptual and architectural framework

• Components of IoT ecosystems

• Physical and logical design of IoT

• IoT enablers Modern day IoT applications

• M2M communications IoT vs M2M IoT vs WoT

• IoT reference architecture

• IoT Network configurations IoT LAN IoT WAN

• IoT Node IoT Gateway IoT Proxy

• Review of Basic Microcontrollers and interfacing.

UNIT-2 :

• Define Sensor Basic components and challenges of a sensor node

• Sensor features Sensor resolution;

• Sensor classes : Analog Digital Scalar

• Vector Sensors; Sensor Types bias drift

• Hysteresis error quantization error; Actuator;

• Actuator types : Hydraulic Pneumatic

• electrical thermal/magnetic

• mechanical actuators soft actuators

UNIT-3 :

• Basics of IoT Networking IoT Components

• Functional components of IoT

• IoT service oriented architecture

• IoT challenges 6LowPAN IEEE 802.15.4

• ZigBee and its types RFID Features

• RFID working principle and applications

• NFC (Near Field communication) Bluetooth

• Wireless Sensor Networks and its Applications

UNIT-4 :

• MQTT MQTT methods and components

• MQTT communication topics and applications

• SMQTT CoAP CoAP message types

• CoAP Request-Response model

• XMPP AMQP features and components

• AMQP frame types

UNIT-5 :

• IoT Platforms Arduino Raspberry Pi Board

• Other IoT Platforms; Data Analytics for IoT

• Cloud for IoT Cloud storage models & communication APIs

• Attacks in IoT system vulnerability analysis in IoT

• IoT case studies : Smart Home Smart framing etc.

== END OF UNITS==

 

Syllabus of CS-803 (D) Managing Innovation and Entrepreneurship (Open Elective )

Source: (rgpv.ac.in)

UNIT-1 :

• Innovation the basic definition and classification : The relationship of innovation and entrepreneurship

• creation of competitive advantage based on innovation.

• Innovative models Product process

• organizational and marketing innovation and their role in business development.

UNIT-2 :

• Sources of innovation (push pull analogies)

• transfer of technology.

• Creative methods and approaches used in innovation management.

• Approaches to management of the innovation process (agile management

• Six Thinking Hats NUF test).

UNIT-3 :

• Project approach to innovation management

• method Stage Gate its essence

• adaptation of access to selected business models.

• In-house business development of the innovation process in the company.

• Open Innovation as a modern concept

• the limits of this method and its benefits for business development.

UNIT-4 :

• Innovations aimed at humans

• role of co-creation in the innovation process.

• The strategy of innovation process

• types and selection of appropriate strategies.

UNIT-5 :

• Measurement and evaluation of the benefits of innovation for business (financial and nonfinancial metrics their combination and choice).

• Barriers to innovation in business

• innovation failure and its causes

• post-audits of innovative projects.

• Organization and facilitation of an innovation workshop.

== END OF UNITS==

==End of Syllabus==