For detailed syllabus of all other subjects of (MCA) 2nd Year 2nd Sem R20 Scheme subjects, refer to Master of Computer Applications 2nd Year 2nd Sem R20. The detailed syllabus for mca 2nd year 2nd sem professional elective-3 syllabus for r20 regulation jntuh is as follows.

Don’t forget to download iStudy App for the latest syllabus, results, class timetable and many more features. In case of questions, don’t feel shy to leave a comment or leave feedback in the iStudy app for faster response.

For detailed syllabus of all the other subjects of MCA 2nd Year 2nd Sem (MCA), do visit Master Of Computer Applications 2nd Year 2nd Sem syllabus subjects.

For the results of MCA 2nd Year 2nd Sem, kindly visit JNTUH MCA 2nd Year 2nd Sem direct result link.

Wishing you great luck ahead.

For all the other MCA 2nd Year 2nd Sem syllabus for R20 regulation JNTUH, visit Master of Computer Applications 2nd Year 2nd Sem R20 Scheme.

For all the (Professional Elective-3) subjects refer to Professional Elective-3 Scheme. The detail syllabus for big data analytics is as follows.

Prerequisites:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Course Objectives:

• To understand about big data.
• To learn the analytics of Big Data.
• To Understand the Map Reduce fundamentals.

Course Outcomes:

• Student understands the working of Android OS Practically.
• Student will be able to develop Android user interfaces.
• Student will be able to develop, deploy and maintain the Android Applications.

Unit -I

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Unit -II

Understanding Analytics and Big Data: Comparing Reporting and Analysis, Types of Analytics; Points to Consider during Analysis; Developing an Analytic Team; Understanding Text Analytics; Analytical Approach and Tools to Analyze Data: Analytical Approaches; History of Analytical Tools; Introducing Popular Analytical Tools; Comparing Various Analytical Tools.

Unit -III

Understanding Map Reduce Fundamentals and HBase: The Map Reduce Framework; Techniques to Optimize MapReduce Jobs; Uses of MapReduce; Role of HBase in Big Data Processing; Storing Data in Hadoop : Introduction of HDFS, Architecture, HDFC Files, File system types, commands, org.apache.hadoop.io package, HDF, HDFS High Availability; Introducing HBase, Architecture, Storing Big Data with HBase , Interacting with the Hadoop Ecosystem; HBase in Operations-Programming with HBase; Installation, Combining HBase and HDFS.

Unit -IV

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Unit -V

Social Media Analytics and Text Mining: Introducing Social Media; Key elements of Social Media; Text mining; Understanding Text Mining Process; Sentiment Analysis, Performing Social Media Analytics and Opinion Mining on Tweets; Mobile Analytics: Introducing Mobile Analytics; Define Mobile Analytics; Mobile Analytics and Web Analytics; Types of Results from Mobile Analytics; Types of Applications for Mobile Analytics; Introducing Mobile Analytics Tools;

Text Books:

1. Big Data and Analytics, Seema Acharya, Subhasinin Chellappan, Wiley publications.
2. Big Data, Black BookTM, DreamTech Press, 2015 Edition.
3. Business Analytics 5e, BY Albright |Winston.

Reference Books:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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For detail syllabus of all other subjects of 2nd Year 2nd Sem Master of Computer Applications, visit MCA 2nd Year 2nd Sem syllabus subjects.

For all MCA results, visit JNTUH MCA all years, and semester results from direct links.

For all the other MCA 2nd Year 2nd Sem syllabus for R20 regulation JNTUH, visit Master of Computer Applications 2nd Year 2nd Sem R20 Scheme.

For all the (Professional Elective-3) subjects refer to Professional Elective-3 Scheme. The detail syllabus for mobile application development is as follows.

Prerequisites:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Course Objectives:

• To demonstrate their understanding of the fundamentals of Android operating systems.
• To improves their skills of using Android software development tools.
• To demonstrate their ability to develop software with reasonable complexity on mobile platform.
• To demonstrate their ability to deploy software to mobile devices.
• To demonstrate their ability to debug programs running on mobile devices.

Course Outcomes:

• Student understands the working of Android OS Practically.
• Student will be able to develop Android user interfaces.
• Student will be able to develop, deploy and maintain the Android Applications.

Unit -I

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Unit -II

Android User Interface: Measurements – Device and pixel density independent measuring units Layouts – Linear, Relative, Grid and Table Layouts User Interface (UI) Components: Editable and non-editable TextViews, Buttons, Radio and Toggle Buttons, Checkboxes, Spinners, Dialog and pickers Event Handling: Handling clicks or changes of various UI components Fragments: Creating fragments, Lifecycle of fragments, Fragment states, Adding fragments to Activity, adding, removing and replacing fragments with fragment transactions, interfacing between fragments and Activities, Multi-screen Activities

Unit -III

Intents and Broadcasts: Intent – Using intents to launch Activities, Explicitly starting new Activity, Implicit Intents, Passing data to Intents, Getting results from Activities, Native Actions, using Intent to dial a number or to send SMS Broadcast Receivers: Using Intent filters to service implicit Intents, Resolving Intent filters, finding and using Intents received within an Activity Notifications: Creating and Displaying notifications, Displaying Toasts

Unit -IV

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Unit -V

Database: Introduction to SQLite database, creating and opening a database, creating tables, inserting retrieving and etindelg data, Registering Content Providers, using content Providers (insert, delete, retrieve and update)

Text Books:

1. Professional Android 4 Application Development, Reto Meier, Wiley India, (Wrox), 2012.
2. Android Application Development for Java Programmers, James C Sheusi, Cengage. Learning, 2013.

Reference Books:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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For detail syllabus of all other subjects of 2nd Year 2nd Sem Master of Computer Applications, visit MCA 2nd Year 2nd Sem syllabus subjects.

For all MCA results, visit JNTUH MCA all years, and semester results from direct links.

For all the other MCA 2nd Year 2nd Sem syllabus for R20 regulation JNTUH, visit Master of Computer Applications 2nd Year 2nd Sem R20 Scheme.

For all the (Professional Elective-3) subjects refer to Professional Elective-3 Scheme. The detail syllabus for machine learning is as follows.

Prerequisites:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Course Objectives:

• This course explains machine learning techniques such as decision tree learning, Bayesian learning etc.
• To understand computational learning theory.
• To study the pattern comparison techniques.

Course Outcomes:

• Understand the concepts of computational intelligence like machine learning.
• Ability to get the skill to apply machine learning techniques to address the real time problems in different areas.
• Understand the Neural Networks and its usage in machine learning application.

Unit -I

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Unit -II

Artificial Neural Networks: Introduction, neural network representation, appropriate problems for neural network learning, perceptions, multilayer networks and the back-propagation algorithm. Artificial Neural Networks-2- Remarks on the Back-Propagation algorithm, An illustrative example: face recognition, advanced topics in artificial neural networks. Evaluation Hypotheses – Motivation, estimation hypothesis accuracy, basics of sampling theory, a general approach for deriving confidence intervals, difference in error of two hypotheses, comparing learning algorithms.

Unit -III

Bayesian Learning: Introduction, Bayes theorem, Bayes theorem and concept learning, Maximum Likelihood and least squared error hypotheses, maximum likelihood hypotheses for predicting probabilities, minimum description length principle, Bayes optimal classifier, Gibs algorithm, Naive Bayes classifier, an example: learning to classify text, Bayesian belief networks, the EM algorithm. Computational learning theory – Introduction, probably learning an approximately correct hypothesis, sample complexity for finite hypothesis space, sample complexity for infinite hypothesis spaces, the mistake bound model of learning. Instance-Based Learning- Introduction, k-nearest neighbour algorithm, locally weighted regression, radial basis functions, case-based reasoning, remarks on lazy and eager learning.

Unit -IV

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Unit -V

Analytical Learning-1: Introduction, learning with perfect domain theories: PROLOG-EBG, remarks on explanation-based learning, explanation-based learning of search control knowledge. Analytical Learning-2-Using prior knowledge to alter the search objective, using prior knowledge to augment search operators. Combining Inductive and Analytical Learning – Motivation, inductive-analytical approaches to learning, using prior knowledge to initialize the hypothesis.

Text Books:

1. Machine Learning – Tom M. Mitchell, – MGH.

Reference Books:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

For detail syllabus of all other subjects of 2nd Year 2nd Sem Master of Computer Applications, visit MCA 2nd Year 2nd Sem syllabus subjects.

For all MCA results, visit JNTUH MCA all years, and semester results from direct links.

For detailed syllabus of all other subjects of (MCA) 2nd Year 1st Sem R20 Scheme subjects, refer to Master of Computer Applications 2nd Year 1st Sem R20. The detailed syllabus for mca 2nd year 1st sem professional elective-2 syllabus for r20 regulation jntuh is as follows.

Don’t forget to download iStudy App for the latest syllabus, results, class timetable and many more features. In case of questions, don’t feel shy to leave a comment or leave feedback in the iStudy app for faster response.

For detailed syllabus of all the other subjects of MCA 2nd Year 1st Sem (MCA), do visit Master Of Computer Applications 2nd Year 1st Sem syllabus subjects.

For the results of MCA 2nd Year 1st Sem, kindly visit JNTUH MCA 2nd Year 1st Sem direct result link.

Wishing you great luck ahead.

For all the other MCA 2nd Year 1st Sem syllabus for R20 regulation JNTUH, visit Master of Computer Applications 2nd Year 1st Sem R20 Scheme.

For all the (Professional Elective-2) subjects refer to Professional Elective-2 Scheme. The detail syllabus for software testing methodologies is as follows.

Prerequisites:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Course Objectives:

• To provide knowledge of the concepts in software testing such as testing process, criteria, strategies, and methodologies.
• To develop skills in software test automation and management using latest tools.

Course Outcomes:

• Design and develop the best test strategies in accordance to the development model.

Unit -I

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Unit -II

Transaction Flow Testing: transaction flows, transaction flow testing techniques. Dataflow testing: Basics of dataflow testing, strategies in dataflow testing, application of dataflow testing. Domain Testing: domains and paths, Nice and ugly domains, domain testing, domains and interfaces testing, domain and interface testing, domains and testability.

Unit -III

Paths, Path products and Regular expressions: path products and path expression, reduction procedure, applications, regular expressions and flow anomaly detection. Logic Based Testing: Overview, decision tables, path expressions, kv charts, specifications.

Unit -IV

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Unit -V

Graph Matrices and Application: Motivational overview, matrix of graph, relations, power of a matrix, node reduction algorithm, building tools. (Student should be given an exposure to a tool like JMeter or Win-runner).

Text Books:

1. Software Testing techniques – Baris Beizer, 2nd edition, Dreamtech.
2. Software Testing Tools – Dr. K. V. K. K. Prasad, Dreamtech.

Reference Books:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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For detail syllabus of all other subjects of 2nd Year 1st Sem Master of Computer Applications, visit MCA 2nd Year 1st Sem syllabus subjects.

For all MCA results, visit JNTUH MCA all years, and semester results from direct links.

For all the other MCA 2nd Year 1st Sem syllabus for R20 regulation JNTUH, visit Master of Computer Applications 2nd Year 1st Sem R20 Scheme.

For all the (Professional Elective-2) subjects refer to Professional Elective-2 Scheme. The detail syllabus for mobile computing is as follows.

Course Objectives:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Course Outcomes:

• Able to think and develop new mobile application.
• Able to take any new technical issue related to this new paradigm and come up with a solution(s).
• Able to develop new ad hoc network applications and/or algorithms/protocols.
• Able to understand and develop any existing or new protocol related to the mobile environment.

Unit -I

Introduction: Mobile Communications, Mobile Computing – Paradigm, Promises/Novel Applications and Impediments and Architecture; Mobile and Handheld Devices, Limitations of Mobile and Handheld Devices. GSM – Services, System Architecture, Radio Interfaces, Protocols, Localization, Calling, Handover, Security, New Data Services, GPRS.

Unit -II

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Unit -III

Mobile Transport Layer: Conventional TCP/IP Protocols, Indirect TCP, Snooping TCP, Mobile TCP, Other Transport Layer Protocols for Mobile Networks. Database Issues: Database Hoarding and Caching Techniques, Client-Server Computing and Adaptation, Transactional Models.

Unit -IV

Data Dissemination and Synchronization: Communications Asymmetry, Classification of Data Delivery Mechanisms, Data Dissemination, Broadcast Models, Selective Tuning and Indexing Methods.

Unit -V

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Text Books:

1. ‘Mobile Communications’, Jochen Schiller, 2nd Edition Addison-Wesley, 2009.

Reference Books:

1. ‘Mobile Computing’, Raj Kamal, Oxford University Press, 2007, ISBN: 0195686772.

For detail syllabus of all other subjects of 2nd Year 1st Sem Master of Computer Applications, visit MCA 2nd Year 1st Sem syllabus subjects.

For all MCA results, visit JNTUH MCA all years, and semester results from direct links.

For all the other MCA 2nd Year 1st Sem syllabus for R20 regulation JNTUH, visit Master of Computer Applications 2nd Year 1st Sem R20 Scheme.

For all the (Professional Elective-2) subjects refer to Professional Elective-2 Scheme. The detail syllabus for cyber security is as follows.

Course Objectives:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

Course Outcomes:

• The students will be able to understand cyber-attacks, types of cybercrimes, cyber laws and also how to protect them self and ultimately the entire Internet community from such attacks.

Unit -I

Introduction to Cybercrime: Introduction, Cybercrime, and Information Security, Who are Cybercriminals, Classifications of Cybercrimes, And Cybercrime: The legal Perspectives and Indian Perspective, Cybercrime and the Indian ITA 2000, A Global Perspective on Cybercrimes.

Unit -II

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Unit -III

Cybercrime: Mobile and Wireless Devices: Introduction, Proliferation of Mobile and Wireless Devices, Trends in Mobility, Credit card Frauds in Mobile and Wireless Computing Era, Security Challenges Posed by Mobile Devices, Registry Settings for Mobile Devices, Authentication service Security, Attacks on Mobile/Cell Phones, Mobile Devices: Security Implications for Organizations, Organizational Measures for Handling Mobile, Organizational Security Policies an Measures in Mobile Computing Era, Laptops.

Unit -IV

Tools and Methods Used in Cybercrime: Introduction, Proxy Servers and Anonymizers, Phishing, Password Cracking, Keyloggers and Spywares, Virus and Worms, Trojan Horse and Backdoors, Steganography, DoS and DDoS attacks, SQL Injection, Buffer Overflow.

Unit -V

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Text Books:

1. Cyber Security: Understanding Cyber Crimes, Computer Forensics and Legal Perspectives, Nina Godbole and Sunil Belapure, Wiley INDIA.

Reference Books:

1. Cyber Security Essentials, James Graham, Richard Howard and Ryan Otson, CRC Press.
2. Introduction to Cyber Security, Chwan-Hwa (John), Wu, J. David Irwin. CRC Press T&F Group.

For detail syllabus of all other subjects of 2nd Year 1st Sem Master of Computer Applications, visit MCA 2nd Year 1st Sem syllabus subjects.

For all MCA results, visit JNTUH MCA all years, and semester results from direct links.

For detailed syllabus of all other subjects of (MCA) 2nd Year 1st Sem R20 Scheme subjects, refer to Master of Computer Applications 2nd Year 1st Sem R20. The detailed syllabus for mca 2nd year 1st sem professional elective-1 syllabus for r20 regulation jntuh is as follows.

Don’t forget to download iStudy App for the latest syllabus, results, class timetable and many more features. In case of questions, don’t feel shy to leave a comment or leave feedback in the iStudy app for faster response.

For detailed syllabus of all the other subjects of MCA 2nd Year 1st Sem (MCA), do visit Master Of Computer Applications 2nd Year 1st Sem syllabus subjects.

For the results of MCA 2nd Year 1st Sem, kindly visit JNTUH MCA 2nd Year 1st Sem direct result link.

Wishing you great luck ahead.

For all the other MCA 2nd Year 1st Sem syllabus for R20 regulation JNTUH, visit Master of Computer Applications 2nd Year 1st Sem R20 Scheme.

For all the (Professional Elective-1) subjects refer to Professional Elective-1 Scheme. The detail syllabus for ad-hoc and sensor networks is as follows.

Prerequisites:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Course Objectives:

• To understand the concepts of sensor networks.
• To understand the MAC and transport protocols for ad hoc networks.
• To understand the security of sensor networks.
• To understand the applications of and sensor networks.

Course Outcomes:

• Ability to understand the state-of-the-art research in the emerging subject of Ad Hoc and Wireless Sensor Networks.
• Ability to solve the issues in real-time application development based on ASN.
• Ability to conduct further research in the domain of ASN.

Unit -I

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Unit -II

Data Transmission: Broadcast Storm Problem, Rebroadcasting Schemes-Simple-flooding, Probability-based Methods, Area-based Methods Neighbor Knowledge-Based: SBA, Multipoint Relaying, AHBP. Multicasting: Tree-based: AMRIS, MAODV; Mesh-based: ODMRP, CAMP; Hybrid: AMRoute, MCEDAR.

Unit -III

Geocasting: Data-transmission Oriented-LBM; Route Creation Oriented-GeoTORA, MGR. TCP over Ad Hoc TCP protocol overview, TCP and MANETs, Solutions for TCP over Ad hoc

Unit -IV

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Unit -V

Upper Layer Issues of WSN: Transport layer, High-level application layer support, Adapting to the inherent dynamic nature of WSNs, Sensor Networks and mobile robots.

Text Books:

1. Ad Hoc and Sensor Networks – Theory and Applications, Carlos Corderio Dharma P. Aggarwal, World Scientific Publications, March 2006, ISBN – 981-256-681-3.

Reference Books:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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For detail syllabus of all other subjects of 2nd Year 1st Sem Master of Computer Applications, visit MCA 2nd Year 1st Sem syllabus subjects.

For all MCA results, visit JNTUH MCA all years, and semester results from direct links.