<![CDATA[studentsuvidha - 8th semester IPU B.tech CSC papers and Notes -free download]]>

<![CDATA[studentsuvidha - 8th semester IPU B.tech CSC papers and Notes -free download]]> https://studentsuvidha.com/forum/ Tue, 02 Jun 2026 20:43:06 +0000 MyBB <![CDATA[Information Theory and Coding IPU Btech 2017 Question Paper]]> https://studentsuvidha.com/forum/Thread-Information-Theory-and-Coding-IPU-Btech-2017-Question-Paper Fri, 31 Aug 2018 11:17:35 +0000 Dipesh S]]> https://studentsuvidha.com/forum/Thread-Information-Theory-and-Coding-IPU-Btech-2017-Question-Paper Hi, Students!

This is originally scanned copy of question paper of Information Theory and Coding of IPU Btech of the year 2017

Hope this is helpful for you

If this is helpful for you then don't FORGET to help other students by posting some useful stuff here or mail at admin@studentsuvidha.com

Thanks
Dipesh

ETEC30-ETIT416.pdf (Size: 1.17 MB Downloads: 240)

]]> Hi, Students!

This is originally scanned copy of question paper of Information Theory and Coding of IPU Btech of the year 2017

Hope this is helpful for you

If this is helpful for you then don't FORGET to help other students by posting some useful stuff here or mail at admin@studentsuvidha.com

Thanks
Dipesh

ETEC30-ETIT416.pdf (Size: 1.17 MB Downloads: 240)

]]> <![CDATA[Object Oriented Software Engineering IPU Btech 2017 Question Paper]]> https://studentsuvidha.com/forum/Thread-Object-Oriented-Software-Engineering-IPU-Btech-2017-Question-Paper Fri, 31 Aug 2018 11:13:47 +0000 Dipesh S]]> https://studentsuvidha.com/forum/Thread-Object-Oriented-Software-Engineering-IPU-Btech-2017-Question-Paper Hi, Students!

This is originally scanned copy of question paper of Object Oriented Software Engineering of IPU Btech of the year 2017

Hope this is helpful for you

If this is helpful for you then don't FORGET to help other students by posting some useful stuff here or mail at admin@studentsuvidha.com

Thanks
Dipesh

ETCS304-412.pdf (Size: 384.38 KB Downloads: 312)

]]> Hi, Students!

This is originally scanned copy of question paper of Object Oriented Software Engineering of IPU Btech of the year 2017

Hope this is helpful for you

If this is helpful for you then don't FORGET to help other students by posting some useful stuff here or mail at admin@studentsuvidha.com

Thanks
Dipesh

ETCS304-412.pdf (Size: 384.38 KB Downloads: 312)

]]> <![CDATA[Telecommunication Networks IPU CSC notes and question paper free download]]> https://studentsuvidha.com/forum/Thread-Telecommunication-Networks-IPU-CSC-notes-and-question-paper-free-download Tue, 02 May 2017 22:37:31 +0000 Dipesh S]]> https://studentsuvidha.com/forum/Thread-Telecommunication-Networks-IPU-CSC-notes-and-question-paper-free-download SYLLABUS:-

UNIT I
Introduction to Telecommunication networks: Overview of Network Structure and Services, PSTN Network, Overview of Regulatory Bodies and Standards. Introduction to Access Networks -Analog, PSTN Access Loops, WiLL, xDSL, Wireless Access Loops:-RF(Point to Point, GSM, CDMA(Radio Access Layer), Free Space Optical Access), Signalling,(CAS,CCS-SS7), ISDN ,Signalling:- CAS/CCS, with LAPB, LAPD, Robbed-Bit Signalling Protocols.

UNIT II
Data Transport, Aggregation, grooming, Quality of Service: Carrier Networks:- asynchronous carrier networks - Carrier Ethernet; synchronous carrier networks-TDM hierarchies(E1 to E3, T1 to T3), STS to STMx hierarchies under SDH, Cell Switched Networks(ATM, Burst Switched Networks).

UNIT III
Overview of SS6 and SS7 signalling systems. Fundamentals of UNI and NNI Signalling, Packet Based Signalling (SIGTRAN,SS7-IP Gateways) Core Networks-Optical Lambda Networks(with Wavelength assignment algorithms) Backhaul Networks for GSM/CDMA. Voice Transport: VoIP: Real Time Interactive Protocols: Rationale for new protocols, RTP, RTCP, Session Initialization Protocol (SIP), H.323.

UNIT IV
Wireless Networks: GSM (2G,3G,4G,5G), CDMA , and UMTS with emphasis on Reference point interfaces, Basics of IP Multimedia systems(IMS, ePC ) and NGN.]]> SYLLABUS:-

UNIT I
Introduction to Telecommunication networks: Overview of Network Structure and Services, PSTN Network, Overview of Regulatory Bodies and Standards. Introduction to Access Networks -Analog, PSTN Access Loops, WiLL, xDSL, Wireless Access Loops:-RF(Point to Point, GSM, CDMA(Radio Access Layer), Free Space Optical Access), Signalling,(CAS,CCS-SS7), ISDN ,Signalling:- CAS/CCS, with LAPB, LAPD, Robbed-Bit Signalling Protocols.

UNIT II
Data Transport, Aggregation, grooming, Quality of Service: Carrier Networks:- asynchronous carrier networks - Carrier Ethernet; synchronous carrier networks-TDM hierarchies(E1 to E3, T1 to T3), STS to STMx hierarchies under SDH, Cell Switched Networks(ATM, Burst Switched Networks).

UNIT III
Overview of SS6 and SS7 signalling systems. Fundamentals of UNI and NNI Signalling, Packet Based Signalling (SIGTRAN,SS7-IP Gateways) Core Networks-Optical Lambda Networks(with Wavelength assignment algorithms) Backhaul Networks for GSM/CDMA. Voice Transport: VoIP: Real Time Interactive Protocols: Rationale for new protocols, RTP, RTCP, Session Initialization Protocol (SIP), H.323.

UNIT IV
Wireless Networks: GSM (2G,3G,4G,5G), CDMA , and UMTS with emphasis on Reference point interfaces, Basics of IP Multimedia systems(IMS, ePC ) and NGN.]]> <![CDATA[Principles of Programming Languages IPU CSC notes and question paper free download]]> https://studentsuvidha.com/forum/Thread-Principles-of-Programming-Languages-IPU-CSC-notes-and-question-paper-free-download Tue, 02 May 2017 22:36:04 +0000 Dipesh S]]> https://studentsuvidha.com/forum/Thread-Principles-of-Programming-Languages-IPU-CSC-notes-and-question-paper-free-download SYLLABUS:-

UNIT-I
Introduction: Syntax, semantics and pragmatics; Formal translation models, Variables, Expressions & Statements, Binding time spectrum; Variables and expressions; Assignment; I-values and r-values; Environments and stores; Storage allocation; Constants and initialization; Statement-level control structure.

UNIT-II
Primitive Types: Pointers; Structured types; Coercion; Notion of type equivalence;
Polymorphism: overloading, inheritance, type parameterization, Abstract data types; Information hiding and abstraction; Visibility, Procedures, Modules, Classes, Packages, Objects and Object-Oriented Programming.

UNIT-III
Storage Management: Static and dynamic, stack-based, and heap-based storage management.
Sequence Control: Implicit and explicit sequencing with arithmetic and non-arithmetic expressions; Sequence control between statements.
Subprogram Control: Subprogram sequence control, data control and referencing environments; parameter passing; static and dynamic scope; block structure.

UNIT-IV
Concurrent Programming: Concepts, Communication, Deadlocks, Semaphores, Monitors, Threads, Synchronization.
Logic programming: Introduction; Rules, Structured Data and Scope of the variables; Operators and Functions; Recursion and recursive rules; Lists, Input and Output; Program control; Logic Program design.]]> SYLLABUS:-

UNIT-I
Introduction: Syntax, semantics and pragmatics; Formal translation models, Variables, Expressions & Statements, Binding time spectrum; Variables and expressions; Assignment; I-values and r-values; Environments and stores; Storage allocation; Constants and initialization; Statement-level control structure.

UNIT-II
Primitive Types: Pointers; Structured types; Coercion; Notion of type equivalence;
Polymorphism: overloading, inheritance, type parameterization, Abstract data types; Information hiding and abstraction; Visibility, Procedures, Modules, Classes, Packages, Objects and Object-Oriented Programming.

UNIT-III
Storage Management: Static and dynamic, stack-based, and heap-based storage management.
Sequence Control: Implicit and explicit sequencing with arithmetic and non-arithmetic expressions; Sequence control between statements.
Subprogram Control: Subprogram sequence control, data control and referencing environments; parameter passing; static and dynamic scope; block structure.

UNIT-IV
Concurrent Programming: Concepts, Communication, Deadlocks, Semaphores, Monitors, Threads, Synchronization.
Logic programming: Introduction; Rules, Structured Data and Scope of the variables; Operators and Functions; Recursion and recursive rules; Lists, Input and Output; Program control; Logic Program design.]]> <![CDATA[Multiagent Systems IPU CSC notes and question paper free download]]> https://studentsuvidha.com/forum/Thread-Multiagent-Systems-IPU-CSC-notes-and-question-paper-free-download Tue, 02 May 2017 22:34:32 +0000 Dipesh S]]> https://studentsuvidha.com/forum/Thread-Multiagent-Systems-IPU-CSC-notes-and-question-paper-free-download SYLLABUS:-

UNIT- I
Introduction: What Are Agents, Intelligent Agents, Agents and Objects, Agents and Expert Systems? Abstract Architectures for Intelligent Agents, Concrete Architectures for Intelligent Agents.
Agent Programming Languages: Agent-Oriented Programming, Concurrent MetateM.
Multiagent Systems and Societies of Agents: Introduction, Agent Communications, Agent Interaction Protocols, Societies of Agents.

UNIT- II
Distributed Problem Solving and Planning, Introduction, Example Problems, Task Sharing, Result Sharing, Distributed Planning, Distributed Plan Representations, Distributed Planning and Execution,
Search Algorithms for Agents, Introduction, Constraint Satisfaction, Path-Finding Problem, Two-Player Games.
Distributed Rational Decision Making: Introduction, Evaluation Criteria, Voting, Auctions, Bargaining, General Equilibrium Market Mechanisms, Contract Nets, Coalition Formation.

UNIT- III
Methodologies: When is an Agent-Based Solution Appropriate?, Agent-Oriented Analysis and Design, Pitfalls of Agent Development, Mobile Agents, Applications, Agents for Workflow and Business Process Management, Agents for Distributed Sensing, Agents for Information Retrieval and Management, Agents for Electronic Commerce, Agents for Human-Computer Interfaces, Agents for Virtual Environments, Agents for Social Simulation, Agents for X.
Multiagent Decision Making: Multiagent Interactions, Utilities and Preferences, Setting the Scene, Solution Concepts and Solution Properties, Competitive and Zero-Sum Interactions, The Prisoner’s Dilemma, Other Symmetric 2 x 2 Interactions, Representing Multiagent Scenarios, Dependence Relations in Multiagent Systems.

UNIT-IV
Groupware and Computer Supported Cooperative Work- Introduction, Basic Definitions, Aspects of Groupware, Multi-Aspect Groupware, Social and Group Issues in Designing Groupware Systems, Supporting Technologies and Theories, Other Taxonomies of Groupware, Groupware and Internet.
Distributed Models for Decision Support: Introduction, Decision Support Systems, An Agent Architecture for Distributed Decision Support Systems, Application Case Studies.]]> SYLLABUS:-

UNIT- I
Introduction: What Are Agents, Intelligent Agents, Agents and Objects, Agents and Expert Systems? Abstract Architectures for Intelligent Agents, Concrete Architectures for Intelligent Agents.
Agent Programming Languages: Agent-Oriented Programming, Concurrent MetateM.
Multiagent Systems and Societies of Agents: Introduction, Agent Communications, Agent Interaction Protocols, Societies of Agents.

UNIT- II
Distributed Problem Solving and Planning, Introduction, Example Problems, Task Sharing, Result Sharing, Distributed Planning, Distributed Plan Representations, Distributed Planning and Execution,
Search Algorithms for Agents, Introduction, Constraint Satisfaction, Path-Finding Problem, Two-Player Games.
Distributed Rational Decision Making: Introduction, Evaluation Criteria, Voting, Auctions, Bargaining, General Equilibrium Market Mechanisms, Contract Nets, Coalition Formation.

UNIT- III
Methodologies: When is an Agent-Based Solution Appropriate?, Agent-Oriented Analysis and Design, Pitfalls of Agent Development, Mobile Agents, Applications, Agents for Workflow and Business Process Management, Agents for Distributed Sensing, Agents for Information Retrieval and Management, Agents for Electronic Commerce, Agents for Human-Computer Interfaces, Agents for Virtual Environments, Agents for Social Simulation, Agents for X.
Multiagent Decision Making: Multiagent Interactions, Utilities and Preferences, Setting the Scene, Solution Concepts and Solution Properties, Competitive and Zero-Sum Interactions, The Prisoner’s Dilemma, Other Symmetric 2 x 2 Interactions, Representing Multiagent Scenarios, Dependence Relations in Multiagent Systems.

UNIT-IV
Groupware and Computer Supported Cooperative Work- Introduction, Basic Definitions, Aspects of Groupware, Multi-Aspect Groupware, Social and Group Issues in Designing Groupware Systems, Supporting Technologies and Theories, Other Taxonomies of Groupware, Groupware and Internet.
Distributed Models for Decision Support: Introduction, Decision Support Systems, An Agent Architecture for Distributed Decision Support Systems, Application Case Studies.]]> <![CDATA[Service Oriented Architecture IPU CSC notes and question paper free download]]> https://studentsuvidha.com/forum/Thread-Service-Oriented-Architecture-IPU-CSC-notes-and-question-paper-free-download Tue, 02 May 2017 22:32:05 +0000 Dipesh S]]> https://studentsuvidha.com/forum/Thread-Service-Oriented-Architecture-IPU-CSC-notes-and-question-paper-free-download SYLLABUS:-

UNIT-I
Service Oriented Architecture (SOA): Introduction, Evolution, Fundamental SOA, Common Characteristics of contemporary SOA, Benefits of SOA, Common misperceptions about SOA, Promise and Challenges of SOA, Drivers, Dimensions, Key components, Perspectives.
SO Architectures: Architectures like Enterprise architecture, software architecture, SOA Reference architecture overview, The roots of SOA (comparing SOA to Past architectures)
Enterprise-wide SOA: Services-orientation and the enterprise, Considerations, Layers, Strawman architecture and other architectures, Application Development process, SOA methodology for Enterprise, Enterprise Applications.

UNIT-II
Service-Oriented Enterprise Applications: Considerations, Patterns for SOA, SOA Programming Models.
SOA Analysis and Design: Principles and best practices of Service Design, Designing - Activity Services, Data Services, Client Services, Business process services.
Designing SOA: Business architecture, Business Process Models (Creating, Management & Modeling).
Service Context and common Semantics: Importance of Semantics in SOA, Core information modeling, defining types, Beyond the basics, structuring information models, documents and XML, XML: Schema and Patterns, Best practices for SOA Architect.

UNIT-III
Designing Service interfaces: Services, Design Guidelines, Interface Design, Solution model.
Designing Service implementations: Basic Service architecture, Implementing: interface layer, business layer, Resource layer.
Composing Services: Understanding, Architectural models, implementation, business rules and Transactions.
Designing and Using Integration in SOA Solutions: Challenges of Integration in SOA, Special Considerations for implementing Integration.

UNIT-IV
SOA Security: Goals and fundamentals, Web service security Standards and specifications, SOA Security blueprints.
SOA Governance: Management and governance defined, Case for SOA governance, service life cycle, Developing and Registering Run Time policies, Run time policy enforcement and adaptation. Approach for Enterprise-wide SOA Implementation. SOA Applications and various Case Studies.]]> SYLLABUS:-

UNIT-I
Service Oriented Architecture (SOA): Introduction, Evolution, Fundamental SOA, Common Characteristics of contemporary SOA, Benefits of SOA, Common misperceptions about SOA, Promise and Challenges of SOA, Drivers, Dimensions, Key components, Perspectives.
SO Architectures: Architectures like Enterprise architecture, software architecture, SOA Reference architecture overview, The roots of SOA (comparing SOA to Past architectures)
Enterprise-wide SOA: Services-orientation and the enterprise, Considerations, Layers, Strawman architecture and other architectures, Application Development process, SOA methodology for Enterprise, Enterprise Applications.

UNIT-II
Service-Oriented Enterprise Applications: Considerations, Patterns for SOA, SOA Programming Models.
SOA Analysis and Design: Principles and best practices of Service Design, Designing - Activity Services, Data Services, Client Services, Business process services.
Designing SOA: Business architecture, Business Process Models (Creating, Management & Modeling).
Service Context and common Semantics: Importance of Semantics in SOA, Core information modeling, defining types, Beyond the basics, structuring information models, documents and XML, XML: Schema and Patterns, Best practices for SOA Architect.

UNIT-III
Designing Service interfaces: Services, Design Guidelines, Interface Design, Solution model.
Designing Service implementations: Basic Service architecture, Implementing: interface layer, business layer, Resource layer.
Composing Services: Understanding, Architectural models, implementation, business rules and Transactions.
Designing and Using Integration in SOA Solutions: Challenges of Integration in SOA, Special Considerations for implementing Integration.

UNIT-IV
SOA Security: Goals and fundamentals, Web service security Standards and specifications, SOA Security blueprints.
SOA Governance: Management and governance defined, Case for SOA governance, service life cycle, Developing and Registering Run Time policies, Run time policy enforcement and adaptation. Approach for Enterprise-wide SOA Implementation. SOA Applications and various Case Studies.]]> <![CDATA[Web Intelligence and Big Data IPU CSC notes and question paper free download]]> https://studentsuvidha.com/forum/Thread-Web-Intelligence-and-Big-Data-IPU-CSC-notes-and-question-paper-free-download Tue, 02 May 2017 22:29:43 +0000 Dipesh S]]> https://studentsuvidha.com/forum/Thread-Web-Intelligence-and-Big-Data-IPU-CSC-notes-and-question-paper-free-download SYLLABUS:-

UNIT-I
Introduction: Web Scale AI and Big Data, Web Intelligence, Big Data
Look: Indexing- Index creation, Ranking, Page Rank Searching- Enterprise search, Searching structured data, Object Search, Locality Sensitive Hashing and Memory.

UNIT-II
Listen: Streams, Information and Language, Analyzing Sentiment and Intent
Load: Databases and their Evolution, Big data Technology and Trends.
Programming: Map-Reduce, Map-Reduce applications and its efficiency, Big-Table and HBase

UNIT-III
Learn: Classification, Clustering, and Mining, Information Extraction
Connect: Reasoning: Logic and its Limits, Dealing with Uncertainty.

UNIT-IV
Predict: Forecasting, Neural Models, Deep Learning, and Research Topics.
Data Analysis: Regression and Feature Selection]]> SYLLABUS:-

UNIT-I
Introduction: Web Scale AI and Big Data, Web Intelligence, Big Data
Look: Indexing- Index creation, Ranking, Page Rank Searching- Enterprise search, Searching structured data, Object Search, Locality Sensitive Hashing and Memory.

UNIT-II
Listen: Streams, Information and Language, Analyzing Sentiment and Intent
Load: Databases and their Evolution, Big data Technology and Trends.
Programming: Map-Reduce, Map-Reduce applications and its efficiency, Big-Table and HBase

UNIT-III
Learn: Classification, Clustering, and Mining, Information Extraction
Connect: Reasoning: Logic and its Limits, Dealing with Uncertainty.

UNIT-IV
Predict: Forecasting, Neural Models, Deep Learning, and Research Topics.
Data Analysis: Regression and Feature Selection]]> <![CDATA[Software Project Management IPU CSC notes and question paper free download]]> https://studentsuvidha.com/forum/Thread-Software-Project-Management-IPU-CSC-notes-and-question-paper-free-download Tue, 02 May 2017 22:28:12 +0000 Dipesh S]]> https://studentsuvidha.com/forum/Thread-Software-Project-Management-IPU-CSC-notes-and-question-paper-free-download SYLLABUS:-

UNIT-I
Introduction to Software Project Management (SPM): Definition of a Software Project (SP), SP Vs. other types of projects activities covered by SPM, categorizing SPs, project as a system, management control.
Software Project scheduling and planning: Basic concepts, project scheduling, defining a task set and task network, scheduling, earned value analysis indicators, Project elements, WBS [Work Breakdown Structure] . Selecting a project, identifying project scope and objectives, identifying project infrastructure, analyzing project characteristics, identifying project products and activities.

UNIT-II
Project Estimation and Evaluation: software project estimation, decomposition techniques, empirical estimation models, estimation for object oriented projects, estimation for Agile development and Web engineering projects. Cost benefit analysis, cash flow forecasting, cost benefit evaluation techniques, risk evaluation. Selection of an appropriate project report; choice of process model, structured methods, rapid application development, water fall, spiral models, Prototyping delivery, Albrecht function point analysis.

UNIT-III
Activity planning: Objectives of activity planning, project schedule, projects and activities, sequencing and scheduling activities, Network planning model; Network Diagrams : CPM, Bar Charts, Gantt Chart , PERT [ Activity-on-arrow network; Activity on Node network ] Precedence network; Forward pass; Backward pass; Critical path.
Risk Analysis and Management: Risk and risk types, Risk Break down Structure, Risk management process, Evaluating schedule risk using PERT.

UNIT-IV
Resource allocation & Monitoring the control: Introduction, the nature of resources, identifying resource requirements, visualizing progress, Project Tracking, Status Reports, Milestone Analysis, Actual Versus Estimated Analysis of Effort and Schedule.
Software quality and project closure: Defining software quality attributes, ISO 9126, Software quality measures, Project Closure Analysis, The Role of Closure Analysis, Performing Closure Analysis.]]> SYLLABUS:-

UNIT-I
Introduction to Software Project Management (SPM): Definition of a Software Project (SP), SP Vs. other types of projects activities covered by SPM, categorizing SPs, project as a system, management control.
Software Project scheduling and planning: Basic concepts, project scheduling, defining a task set and task network, scheduling, earned value analysis indicators, Project elements, WBS [Work Breakdown Structure] . Selecting a project, identifying project scope and objectives, identifying project infrastructure, analyzing project characteristics, identifying project products and activities.

UNIT-II
Project Estimation and Evaluation: software project estimation, decomposition techniques, empirical estimation models, estimation for object oriented projects, estimation for Agile development and Web engineering projects. Cost benefit analysis, cash flow forecasting, cost benefit evaluation techniques, risk evaluation. Selection of an appropriate project report; choice of process model, structured methods, rapid application development, water fall, spiral models, Prototyping delivery, Albrecht function point analysis.

UNIT-III
Activity planning: Objectives of activity planning, project schedule, projects and activities, sequencing and scheduling activities, Network planning model; Network Diagrams : CPM, Bar Charts, Gantt Chart , PERT [ Activity-on-arrow network; Activity on Node network ] Precedence network; Forward pass; Backward pass; Critical path.
Risk Analysis and Management: Risk and risk types, Risk Break down Structure, Risk management process, Evaluating schedule risk using PERT.

UNIT-IV
Resource allocation & Monitoring the control: Introduction, the nature of resources, identifying resource requirements, visualizing progress, Project Tracking, Status Reports, Milestone Analysis, Actual Versus Estimated Analysis of Effort and Schedule.
Software quality and project closure: Defining software quality attributes, ISO 9126, Software quality measures, Project Closure Analysis, The Role of Closure Analysis, Performing Closure Analysis.]]> <![CDATA[Computer Vision IPU CSC notes and question paper free download]]> https://studentsuvidha.com/forum/Thread-Computer-Vision-IPU-CSC-notes-and-question-paper-free-download Tue, 02 May 2017 22:17:06 +0000 Dipesh S]]> https://studentsuvidha.com/forum/Thread-Computer-Vision-IPU-CSC-notes-and-question-paper-free-download SYLLABUS:-

UNIT I
Geometric Image Features
Elements of Diﬀerential Geometry, Contour Geometry,
Analytical Image Features
Elements of Analytical Euclidean Geometry, Geometric Camera Parameters, Calibration Methods.

UNIT II
Linear Filters
Linear Filters and Convolution, Shift invariant linear systems, Spatial Frequency and Fourier Transforms, Sampling and Aliasing
Edge Detection
Estimating Derivatives with Finite Diﬀerences, Noise, Edges and Gradient-based Edge Detectors.

UNIT III
Texture
Representing Texture, Analysis (and Synthesis) Using Oriented Pyramids, Application: Synthesizing Textures for Rendering, Shape from Texture: Planes and Isotropy
Shape from Shading
Introduction to the concept of Shading From Shading (SFS), Application of SFS (Texture Shop, Image-Based Material Emitting, Optimization Based SFS), Photometric stereo, Spherical Illumination, Displacement Mapping, Feature Mapping.

UNIT IV
Affine Structure from Motion
Elements of Aﬃne Geometry, Aﬃne Structure from Two Images, Aﬃne Structure from Multiple Images, From Aﬃne to Euclidean Images, Aﬃne Motion Segmentation
Projective Structure from Motion
Elements of Projective Geometry.]]> SYLLABUS:-

UNIT I
Geometric Image Features
Elements of Diﬀerential Geometry, Contour Geometry,
Analytical Image Features
Elements of Analytical Euclidean Geometry, Geometric Camera Parameters, Calibration Methods.

UNIT II
Linear Filters
Linear Filters and Convolution, Shift invariant linear systems, Spatial Frequency and Fourier Transforms, Sampling and Aliasing
Edge Detection
Estimating Derivatives with Finite Diﬀerences, Noise, Edges and Gradient-based Edge Detectors.

UNIT III
Texture
Representing Texture, Analysis (and Synthesis) Using Oriented Pyramids, Application: Synthesizing Textures for Rendering, Shape from Texture: Planes and Isotropy
Shape from Shading
Introduction to the concept of Shading From Shading (SFS), Application of SFS (Texture Shop, Image-Based Material Emitting, Optimization Based SFS), Photometric stereo, Spherical Illumination, Displacement Mapping, Feature Mapping.

UNIT IV
Affine Structure from Motion
Elements of Aﬃne Geometry, Aﬃne Structure from Two Images, Aﬃne Structure from Multiple Images, From Aﬃne to Euclidean Images, Aﬃne Motion Segmentation
Projective Structure from Motion
Elements of Projective Geometry.]]> <![CDATA[Object Oriented Software Engineering IPU CSC notes and question paper free download]]> https://studentsuvidha.com/forum/Thread-Object-Oriented-Software-Engineering-IPU-CSC-notes-and-question-paper-free-download Tue, 02 May 2017 22:13:50 +0000 Dipesh S]]> https://studentsuvidha.com/forum/Thread-Object-Oriented-Software-Engineering-IPU-CSC-notes-and-question-paper-free-download QUESTION PAPERS:-

2017

2017

SYLLABUS:-

UNIT I:
Introduction – Overview of Object-Orientation; Basic Concepts of Object-Orientation: Data abstraction, Encapsulation, Inheritance, Aggregation, classes, objects, messages, inheritance, polymorphism. Importance of modeling, principles of modeling, Object oriented modeling. OO Life cycle – Object Oriented analysis, modeling and design; Requirement Elicitation. Introduction to Object Oriented Methodologies, Overview of Requirements Elicitation, Requirements Model-Action & Use cases.

UNIT II:
Architecture: Introduction, System development is model building, model architecture, requirement model, analysis model, design model, implementation model.
Analysis: Introduction, System development based on user requirement, Use case model, interface descriptions, Problem domain objects, interface objects, entity objects, control objects.
Code Design Improvement: Refactoring, Anti patterns, Visitor Patterns.

UNIT III:
Construction: Introduction, the design model, design model dimensions, block design, working with construction.
Testing: Introduction, Object Oriented testing process, testing of analysis and design model, testing of classes.

UNIT IV:
Modelling with UML: Basic Building Blocks of UML, A Conceptual Model of UML.
Basic structural modelling: Classes, interfaces, Dependency , generalization and association relationship, comparison of E-R diagram and UML class Diagram, forward and reverse engineering.
Basic Behavioral Modeling- Use case diagram-relationships between use cases- extend, include, and generalize. Activity diagram-Action state, Activity state, Transition (Fork, Merge, Join), State diagram-events, State Diagram states, transitions, Interaction diagrams: Sequence diagram, Collaboration diagram (iterations, conditional messaging, branching, object creation and destruction, time constraints, origin of links.)
Architectural modelling: Deployment: Common Modelling technique; Modelling processors and devices, modelling distribution of artifacts. Collaboration: Modeling roles, modelling the realization of a Use Case, modelling the realization of an operation, modelling a mechanism.]]> <![CDATA[Microelectronics IPU CSC notes and question paper free download]]> https://studentsuvidha.com/forum/Thread-Microelectronics-IPU-CSC-notes-and-question-paper-free-download Tue, 02 May 2017 22:10:43 +0000 Dipesh S]]> https://studentsuvidha.com/forum/Thread-Microelectronics-IPU-CSC-notes-and-question-paper-free-download SYLLABUS:-

UNIT I
Semiconductor, VLSI device technology, VLSI design flow, MOS Capacitance fundamentals, MOSFET principles and characteristics, MOS transistor theory, MOS structure, enhancement & depletion transistor, CMOS & NMOS process technology, explanation of different stages in fabrication, Threshold voltage, MOS device design equations

UNIT II
MOSFET Operation and modelling, Short and narrow channel effects, Radiation and hot-carrier effects, Breakdown, LDD, CMOS latch-up, CMOS Device design considerations & performance factors, Brief overview of MOSFET CAD SPICE model- different levels.

UNIT III
CMOS inverter, DC characteristics, static load MOS inverter, pull up/pull down ratio, Static & Dynamic power dissipation, switching characteristics & inter connection effects, Rise time, fall time delays, Noise margin, power consumption in CMOS.

UNIT IV
Basic I.C. processing step, Clean room concept, wafer cleaning, oxidation, diffusion. Ficks laws, Ion implantation. Epitaxy, Basics of vacuum deposition, Chemical vapour deposition, high and low temperature/pressure depositions. Etching techniques, integrated circuit packaging.]]> SYLLABUS:-

UNIT I
Semiconductor, VLSI device technology, VLSI design flow, MOS Capacitance fundamentals, MOSFET principles and characteristics, MOS transistor theory, MOS structure, enhancement & depletion transistor, CMOS & NMOS process technology, explanation of different stages in fabrication, Threshold voltage, MOS device design equations

UNIT II
MOSFET Operation and modelling, Short and narrow channel effects, Radiation and hot-carrier effects, Breakdown, LDD, CMOS latch-up, CMOS Device design considerations & performance factors, Brief overview of MOSFET CAD SPICE model- different levels.

UNIT III
CMOS inverter, DC characteristics, static load MOS inverter, pull up/pull down ratio, Static & Dynamic power dissipation, switching characteristics & inter connection effects, Rise time, fall time delays, Noise margin, power consumption in CMOS.

UNIT IV
Basic I.C. processing step, Clean room concept, wafer cleaning, oxidation, diffusion. Ficks laws, Ion implantation. Epitaxy, Basics of vacuum deposition, Chemical vapour deposition, high and low temperature/pressure depositions. Etching techniques, integrated circuit packaging.]]> <![CDATA[Machine Learning IPU CSC notes and question paper free download]]> https://studentsuvidha.com/forum/Thread-Machine-Learning-IPU-CSC-notes-and-question-paper-free-download Tue, 02 May 2017 22:09:25 +0000 Dipesh S]]> https://studentsuvidha.com/forum/Thread-Machine-Learning-IPU-CSC-notes-and-question-paper-free-download SYLLABUS:-

UNIT-I
Introduction:
Basic concepts: Definition of learning systems, Goals and applications of machine learning.
Aspects of developing a learning system: training data, concept representation, function approximation.
Types of Learning: Supervised learning and unsupervised learning. Overview of classification: setup, training, test, validation dataset, over fitting. Classification Families: linear discriminative, non-linear discriminative, decision trees, probabilistic (conditional and generative), nearest neighbor.

UNIT-II
Logistic regression, Perceptron, Exponential family, Generative learning algorithms, Gaussian discriminant analysis, Naive Bayes, Support vector machines: Optimal hyper plane, Kernels. Model selection and feature selection.
Combining classifiers: Bagging, boosting (The Ada boost algorithm), Evaluating and debugging learning algorithms, Classification errors.

UNIT-III
Unsupervised learning: Clustering. K-means. EM Algorithm. Mixture of Gaussians. Factor analysis. PCA (Principal components analysis), ICA (Independent components analysis), latent semantic indexing. Spectral clustering, Markov models Hidden Markov models (HMMs).

UNIT-IV
Reinforcement Learning and Control: MDPs. Bellman equations, Value iteration and policy iteration, Linear quadratic regulation (LQR). LQG. Q-learning. Value function approximation, Policy search. Reinforce. POMDPs.]]> SYLLABUS:-

UNIT-I
Introduction:
Basic concepts: Definition of learning systems, Goals and applications of machine learning.
Aspects of developing a learning system: training data, concept representation, function approximation.
Types of Learning: Supervised learning and unsupervised learning. Overview of classification: setup, training, test, validation dataset, over fitting. Classification Families: linear discriminative, non-linear discriminative, decision trees, probabilistic (conditional and generative), nearest neighbor.

UNIT-II
Logistic regression, Perceptron, Exponential family, Generative learning algorithms, Gaussian discriminant analysis, Naive Bayes, Support vector machines: Optimal hyper plane, Kernels. Model selection and feature selection.
Combining classifiers: Bagging, boosting (The Ada boost algorithm), Evaluating and debugging learning algorithms, Classification errors.

UNIT-III
Unsupervised learning: Clustering. K-means. EM Algorithm. Mixture of Gaussians. Factor analysis. PCA (Principal components analysis), ICA (Independent components analysis), latent semantic indexing. Spectral clustering, Markov models Hidden Markov models (HMMs).

UNIT-IV
Reinforcement Learning and Control: MDPs. Bellman equations, Value iteration and policy iteration, Linear quadratic regulation (LQR). LQG. Q-learning. Value function approximation, Policy search. Reinforce. POMDPs.]]> <![CDATA[Distributed Systems IPU IT notes and question paper free download]]> https://studentsuvidha.com/forum/Thread-Distributed-Systems-IPU-IT-notes-and-question-paper-free-download Mon, 01 May 2017 18:15:57 +0000 Dipesh S]]> https://studentsuvidha.com/forum/Thread-Distributed-Systems-IPU-IT-notes-and-question-paper-free-download SYLLABUS:-

UNIT-I
Fundamentals of Distributed Computing: Architectural models for distributed and mobile computing systems, Basic concepts in distributed computing. Distributed Operating Systems: Overview, network operating systems, Distributed file systems, Middleware, client/server model for computing.

UNIT-II
Communication: Layered protocols, RPC, RMI, Remote objects. Basic Algorithms in Message Passing Systems, Leader Election in Rings, and Mutual Exclusion in Shared Memory, Message Passing, PVM and MPI.
Process Concepts: Threads, Clients and Servers, Code migration, Agent based systems, Distributed objects, CORBA, Distributed COM.

UNIT-III
Synchronization: Clock synchronization, Logical clocks, Election algorithms, Mutual exclusion, Distributed transactions, Naming concepts, Security in distributed systems.
Distributed Databases: Distributed Data Storage, Fragmentation & Replication, Transparency, Distributed Query Processing and Optimization, Distributed Transaction Modeling and concurrency Control, Distributed Deadlock, Commit Protocols.

UNIT-IV
Processing: Basic Concepts: Introduction to processing, processing terminology, Design of algorithms, Design of Parallel Databases, Parallel Query Evaluation.]]> SYLLABUS:-

UNIT-I
Fundamentals of Distributed Computing: Architectural models for distributed and mobile computing systems, Basic concepts in distributed computing. Distributed Operating Systems: Overview, network operating systems, Distributed file systems, Middleware, client/server model for computing.

UNIT-II
Communication: Layered protocols, RPC, RMI, Remote objects. Basic Algorithms in Message Passing Systems, Leader Election in Rings, and Mutual Exclusion in Shared Memory, Message Passing, PVM and MPI.
Process Concepts: Threads, Clients and Servers, Code migration, Agent based systems, Distributed objects, CORBA, Distributed COM.

UNIT-III
Synchronization: Clock synchronization, Logical clocks, Election algorithms, Mutual exclusion, Distributed transactions, Naming concepts, Security in distributed systems.
Distributed Databases: Distributed Data Storage, Fragmentation & Replication, Transparency, Distributed Query Processing and Optimization, Distributed Transaction Modeling and concurrency Control, Distributed Deadlock, Commit Protocols.

UNIT-IV
Processing: Basic Concepts: Introduction to processing, processing terminology, Design of algorithms, Design of Parallel Databases, Parallel Query Evaluation.]]> <![CDATA[Human Computer Interaction IPU IT notes and question paper free download]]> https://studentsuvidha.com/forum/Thread-Human-Computer-Interaction-IPU-IT-notes-and-question-paper-free-download Mon, 01 May 2017 18:04:00 +0000 Dipesh S]]> https://studentsuvidha.com/forum/Thread-Human-Computer-Interaction-IPU-IT-notes-and-question-paper-free-download SYLLABUS:-

UNIT I
Introduction: The Human, The Computer, The interaction, Paradigms, Usability of Interactive Systems, Guidelines, Principles and Theories.
Design Process: Interaction design basics, HCI in the software process, Design rules, Implementation support, Evaluation techniques, Universal design, User Support.

UNIT II
Models and Theories: Cognitive models, Socio-organizational issues and stakeholder requirements, Communication and collaboration models, Task analysis, Dialogue notations and design, Models of the system, Modelling rich interaction.

UNIT III
Interaction Styles: Direct Manipulation and Virtual Environments, Menu Selection, Form Filling and Dialog Boxes, Command and Natural Languages, Interaction Devices, Collaboration and Social Media Participation.

UNIT IV
Design Issues: Quality of Service, Balancing Function and Fashion, User Documentation and Online Help, Information Search, Information Visualization.
Outside the Box: Group ware, Ubiquitous computing and augmented realities, Hypertext, Multimedia and the World Wide Web]]> SYLLABUS:-

UNIT I
Introduction: The Human, The Computer, The interaction, Paradigms, Usability of Interactive Systems, Guidelines, Principles and Theories.
Design Process: Interaction design basics, HCI in the software process, Design rules, Implementation support, Evaluation techniques, Universal design, User Support.

UNIT II
Models and Theories: Cognitive models, Socio-organizational issues and stakeholder requirements, Communication and collaboration models, Task analysis, Dialogue notations and design, Models of the system, Modelling rich interaction.

UNIT III
Interaction Styles: Direct Manipulation and Virtual Environments, Menu Selection, Form Filling and Dialog Boxes, Command and Natural Languages, Interaction Devices, Collaboration and Social Media Participation.

UNIT IV
Design Issues: Quality of Service, Balancing Function and Fashion, User Documentation and Online Help, Information Search, Information Visualization.
Outside the Box: Group ware, Ubiquitous computing and augmented realities, Hypertext, Multimedia and the World Wide Web]]> <![CDATA[Information Theory and Coding IPU IT notes and question paper free download]]> https://studentsuvidha.com/forum/Thread-Information-Theory-and-Coding-IPU-IT-notes-and-question-paper-free-download Mon, 01 May 2017 18:02:52 +0000 Dipesh S]]> https://studentsuvidha.com/forum/Thread-Information-Theory-and-Coding-IPU-IT-notes-and-question-paper-free-download QUESTION PAPERS:-

2017

SYLLABUS:-

UNIT-I
Review of Probability Theory, Random Variables and Random Process. Information Theory Introduction, Uncertainty, Information, and Entropy, Information Rate, Conditional and Joint Entropies. Source Coding Theorem, Data Compaction, Prefix Coding, Kraft McMillan Inequality, Huffman Coding, Lempel Ziv Coding, Discrete Memoryless Channels, Mutual Information, Markov Sources, Channel Capacity.

UNIT-II
Channel Coding Theorem, Differential Entropy and Mutual Information for Continuous Ensembles, Information Capacity Theorem and its implications, Information Capacity of a colored noise channel. Discrete Memoryless Channels and Channel Coding Theorem revisited.

UNIT-III
Linear Block codes, Repetition Codes, Syndrome Decoding, Hamming Codes, Dual Code, Cyclic Codes, Maximal Length Codes, CRC Codes, BCH Codes, Reed-Solomon Codes, Golay Codes, Convolutional Codes: Code Tree, Trellis and State Diagram.

UNIT-IV
Decoding of Convoltutional Codes: Maximum Likelihood decoding, Viterbi’s algorithm, free distance of a convolutional code.
Turbo Codes: Turbo Encoder and Decoder, Puncturing, Performance of Turbo Codes. Introduction to Cryptography. []]> QUESTION PAPERS:-

2017