119

GANPAT UNIVERSITY

FACULTY OF COMPUTER APPLICATION TEACHING AND EXAMINATION SCHEME

Programme Master of Computer Application

Branch/Spec. Computer Applications

Semester V

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2019

Subject Code

Subject Name

Teaching scheme Examination scheme (Marks)

Credit Hours (per week) Theory Practical

Lecture(DT) Practical(Lab.) Lecture(DT) Practical(Lab.) CE SEE Total CE SEE Total

L TU Total P TW Total L TU Total P TW Total

P15A1SE SOFTWARE ENGINEERING

2 1 3 - - - 2 1 3 - - - 40 60 100 - - -

ELECTIVE-VIII 2 1 3 2 - 2 2 1 3 4 - 4 40 60 100 20 30 50

P15A3SEO SEO & DIGITAL MARKETING

3 0 3 2 - 2 3 0 3 4 - 4 40 60 100 20 30 50

ELECTIVE-IX 2 1 3 2 - 2 2 1 3 4 - 4 40 60 100 20 30 50 ELECTIVE-X 2 1 3 2 - 2 2 1 3 4 - 4 40 60 100 20 30 50 P15A6SDP1 SYSTEM

DEVELOPMENT PROJECT-I

0 0 0 5 - 5 0 0 0 10 - 10 - - - 60 40 100

Total 11 4 15 13 - 13 11 4 15 26 - 26 200 300 500 140 160 300

ELECTIVE – VIII

1. P15A2DBA DATABASE ADMINISTRATION 2. P15A2ADM ADVANCE DATABASE MANAGEMENT

SYSTEM

ELECTIVE – IX

1. P15A4AAD ANDROID APPLICATION DEVELOPMENT

2. P15A4IAD I-PHONE APPLICATION DEVELOPMENT

120

ELECTIVE – X

1. P15A5ML4 MACHINE LEARNING-II 2. P15A5BDA4 BIG DATA ANALYTICS-IV 3. P15A5CSF4 CYBER SECURITY AND

FORENSIC-III

4. P15A5CC4 MICROSOFT AZURE

121

GANPAT UNIVERSITY

FACULTY OF COMPUTER APPLICATON Programme MASTER OF COMPUTER

APPLICATION Branch/Spec.

Computer Application

Semester V Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2019

Subject code P15A1SE Subject Name SOFTWARE ENGINEERING

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 02 01 - - 03 Theory 40 60 100

Hours 02 01 - - 03 Practical - - -

Objective:

To teach the students the software engineering concepts.

Pre-requisites:

Student must have knowledge of Software Development Process and Object Oriented Concepts.

Learning Outcome:

Students will gain knowledge and Understanding of System Development Life cycle using software

engineering concepts and also they will come to know how to model the system by drawing various structural

and behavioural diagrams using UML.

Unit Content Hrs

SECTION-I

1 Introduction to Software Engineering: What is Software, Characteristics of Software, Applications of Software, Software Myths A Generic View of Software: Software Engineering : A layered Technology, A Process framework, The Capability Maturity Model Integration (CMMI), Process Patterns

06

2 Process Models: The Waterfall Model, Incremental Process Models: The Incremental Model, The RAD Model, Evolutionary Software Process Models: Prototyping, The Spiral Model, Concurrent Development Model, Specialized Process Models: Component-Based Development, Aspect oriented Software Development

06

3 Metrics for Process and Projects: Software process and project metrics, Software measurement: Size Oriented Metrics, Function Oriented Metrics

05

4 Risk analysis and Management: Reactive versus proactive risk strategies, Software risks, Risk identification, Risk projection, Risk refinement, Risk mitigation, monitoring, and management, The RMMM Plan.

05

SECTION-II

122

5 Introduction to UML Overview of UML, Conceptual Model of UML, Common Mechanisms in the UML, Architecture, Software Development Life Cycle, UML modelling with example

05

6 Basic Structural modeming Classes: Names, Attributes, Operations, Organizing Attributes and Operations, Responsibilities Advanced Classes: Classifiers, Visibility, Scope, Abstract Root Leaf and Polymorphic Elements, Multiplicity, Attributes, Operations, Relationships: Dependency, Generalization, Association Advanced Relationships: Dependency, Generalization, Association, Realizations.

06

7 Advanced Structural modeming Class Diagrams: Common Uses, Common modelling Techniques, Interface Types and Roles: Operations, Relationships, Understanding an Interface, Types and Roles, Packages: Names, Owned Elements, Visibility, Importing and Exporting, Generalization, and Standard Elements

06

8 Behavioural modelling Interactions: Object and Roles, Links and connectors, Messages, Sequencing, Use Cases: Names, Use Cases and Actors, Organizing Use Cases, Use Case Diagrams: Common Uses, Common modelling Techniques, Interaction Diagram: Sequence Diagram, Collaboration Diagram. Activity Diagram: Action and Activity States, Transactions, Branching, Forking and Joining, Swim lanes, Object Flow

06

Practical content N.A.

Text Books

1 The Unified Modeling Language User Guide by Grady Booch, James Rumbaugh, Ivar Jacobson, Pearson.

2 Software Engineering by Roger S. Pressman, Mc Graw Hill

Reference Books

MOOC/ Certification Courses 1 https://www.academiccourses.com/Certificate/Software-Engineering/ Question Paper Scheme: University Examination Duration: 3 Hours

Note for Examiner: - (I) Questions 1 and 4 are compulsory with no options. (II) Internal options should be given in questions 2, 3, 5 and 6. SECTION - I Q.1 –8 Marks Q.2 –11 Marks Q.3 – 11 Marks

SECTION - II Q.4 –8 Marks Q.5 –11 Marks Q.6 – 11 Marks

123

GANPAT UNIVERSITY

FACULTY OF COMPUTER APPLICATION Programme Master of Computer

Application

Branch/Spec. Master of Computer Applications

Semester V Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2019

Subject code P15A2DBA Subject Name ELECTIVE VIII DATABASE ADMINISTRATION

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 2 1 2 - 5 Theory 40 60 100

Hours 2 1 4 - 7 Practical 20 30 50

Objective:

To teach the database administration tasks.

Pre-requisites:

Require the basic knowledge of DBMS and basic operational systems. Learning Outcome:

Students can apply this knowledge for Data Management and Data Administration and can performed

role as a DBA Theory syllabus

Unit Content Hrs

Section-I

1 Introduction of Oracle Database 10g and Database Configuration Assistant

Introduction (4): Oracle Database 10g: Overview of Grid Computing, Oracle

Database Architecture (1), Database Structures, Oracle Memory Structures, Process

Structures, Oracle Instance Management (1), Server Process and Database Buffer

Cache, Physical Database Structure, Tablespaces and Data Files (1), SYSTEM and

SYSAUX tablespaces, Segments, Extents and Blocks (1), Logical and Physical Database

Structures(1)

Creating an Oracle Database(3): Objectives, Planning the Database, Database

Configuration Assistant (DBCA)(1), Using DBCA to create a database, Password

Management(1), Creating a Database Design Template, Using the DBCA to Delete a

Database(1)

07

2 Managing Oracle Instance & Database Storage Structures

Managing the Oracle Instance(4) : Objectives, Management Framework, Starting and

Stopping Database Control, Oracle Enterprise Manager (1),Accessing Oracle Enterprise

Manager, Using SQL*Plus and iSQL*Plus to Access Your Database ,Setting Up

9

124

iSQL*Plus for SYSDBA and SYSOPER Access, Calling SQL*Plus from a Shell

Script(1), Calling a SQL Script from SQL*Plus, Initialization Parameter Files,

Simplified Initialization Parameters(1), Viewing and Modifying Initialization

Parameters , Database Startup and Shutdown, Viewing the Alert Log, Viewing the Alert

History, Dynamic Performance Views(1)

Managing Database Storage Structures (5) :Objectives, Storage Structures, How Table

Data Is Stored, Anatomy of a Database Block ,Tablespaces and Data Files(1),Oracle

Managed Files (OMF), Space Management in Tablespaces, Exploring the Storage

Structure, Creating a New Tablespace, Storage for Locally Managed Tablespaces(1) ,

Tablespaces in the Preconfigured Database, Altering a Tablespace , Actions with

Tablespaces, Dropping Tablespaces(1), Viewing Tablespace Information, Gathering

Storage Information, Viewing Tablespace Contents(1), Enlarging the Database, What

Is Automatic Storage Management? , ASM: Key Features and Benefits, ASM: Concepts

(1) 3 Managing Undo Data, Security in Database

Managing Undo Data (3) : Objectives, Data Manipulation, Undo Data , Transactions

and Undo Data, Storing Undo Information1(1), Undo Data Versus Redo Data,

Monitoring Undo, Administering Undo, Configuring Undo Retention(1), Guaranteeing

Undo Retention, Sizing the Undo Tablespace, Using the Undo Advisor(1)

Implementing Oracle Database Security (4) :Objectives, Industry Security

Requirements, Separation of Responsibilities, Database Security, Principle of Least

Privilege(1), Applying the Principle of Least Privilege, Monitoring for Suspicious

Activity, Standard Database Auditing, Enabling Auditing(1), Uniform Audit Trails,

Enterprise Manager Audit Page(1), Using and Maintaining Audit Information, Value-

Based Auditing, Fine-Grained Auditing, FGA Policy, Audited DML Statement:

Considerations, FGA Guidelines, DBA Auditing(1), Maintaining the Audit Trail,

Security Updates, Applying Security Patches(1)

7

Section-II

4 Performance Management (5)

Objectives, Performance Monitoring , Performance Monitoring: Top Sessions,

Performance Monitoring: Top Services(1) , SQL Tuning Advisor: Overview ,SQL

Tuning Advisor : Options and Recommendations(1), SQL Statistics, Identifying

05

125

Duplicate SQL, Using the SQL Access Advisor, Managing Memory Components,

Enabling Automatic Shared Memory Management (ASMM)(1),Manually Setting

Shared Memory Management, Using the Memory Advisor, Dynamic Performance

Statistics(1) , Troubleshooting and Tuning Views, Invalid and Unusable Objects(1)

5 Backup and Recovery in Database

Performing Database Backups (3) : Objectives, Backup Solutions: Overview, Oracle

Secure Backup, User- Managed Backup(1),Terminology, Recovery Manager (RMAN),

Configuring Backup Settings, Scheduling Backups: Strategy(1), Options, Settings,

Schedule, Review Backing Up the Control File to a Trace File, Managing Backups,

Flash Recovery Area (1)

Performing Database Recovery (4)

Objectives, opening a Database, Changing Instance Status, Keeping a

Database Open, Loss of a Control File, Loss of a Redo Log File(2), Loss of a Data File

in NOARCHIVELOG Mode, Loss of a Noncritical Data File in ARCHIVELOG Mode,

Loss of a System-Critical Data File in ARCHIVELOG Mode (2)

07

6 Performing Flashback & Moving Data

Performing Flashback (3) : Objectives, Flashback Technology: Benefits, When to Use

the Flashback Technology, Flashing Back Any Error(1),Flashback Database: Overview,

Reducing Restore Time, Considerations, Enabling Flashback

Database (1), Flashback Table, Flashback Drop: Overview, Flashback Time Navigation,

Flashback Query, Flashback Versions Query, Flashback Transaction Query (1)

Moving Data (7) :Objectives, Moving Data: General Architecture, Directory Object:

Overview, Creating Directory Objects(1),SQL*Loader: Overview, Loading Data with

SQL*Loader, SQL*Loader Control File, Loading Methods(1), Data Pump: Overview,

Data Pump: Benefits, Data Pump Export and Import: Overview, Data Pump Utility:

Interfaces and Modes(3), Fine-Grained Object Selection, Advanced Feature: Sampling,

Export Options: Files, Data Pump File Locations, Scheduling and Running a Job, Data

Pump File Naming and Size(2)

10

Practical content

List of programs specified by the subject teacher based on above mentioned topics

Text Books

1 Oracle Database 10G, The Complete reference by kevinloney- Tata Mcgraw Hill Education Pvt.

Ltd Publication

Reference Books

1 Oracle DBA Bible, by Janathan Gennick, Carol McCullough-Dieter and Gerrit- Jan Linker,

WILEY-Dreamtech Publication.

2 Using Oracle, by William G. Page - PHI Publication

MOOC/ Certification Courses

126

1 https://education.oracle.com/oracle-certification-path/pFamily_32 Question Paper Scheme:

University Examination Duration: 3 Hours Note for Examiner: - (I) Questions 1 and 4 are compulsory with no options. (II) Internal options should be given in questions 2, 3, 5 and 6. SECTION - I Q.1 –8 Marks Q.2 –11 Marks Q.3 –11 Marks SECTION - II

Q.4 –8 Marks Q.5 –11 Marks

Q.6 –11 Marks

127

GANPAT UNIVERSITY

FACULTY OF COMPUTER APPLICATIONS Programme Master of Computer

Applications

Branch/Spec. Master of Computer Applications

Semester V Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2019

Subject code P15A2ADM Subject Name ADVANCE DATABASE MANAGEMENT SYSTEM

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT)

Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 2 1 2 - 5 Theory 40 60 100

Hours 2 1 4 - 7 Practical 20 30 50

Objective:

To make students aware about the normal form, database design, parallel and distributed database and sql.

Pre-requisites:

Students must have knowledge of Database concepts, Transaction Management, Concurrency,

Recovery and Security. They also have PL\SQL blocks, SQL Statements, Subqueries, Joins, Locks,

Indexing, Sequencing and various inbuilt SQL functions. Learning Outcome:

After completing this course, students should be able to:

Understand Concepts of Normalization, Database design and Performance Tuning

Parallel and Distributed Database systems

Student will able to develop business application with the help of advanced objects like Stored

Procedure, Function, Trigger and Package.

Theory syllabus

Unit Content Hrs

SECTION - I

1 Schema Refinement and Normal Forms

Introduction to Schema Refinement, Examples

Functional Dependencies

Examples Motivating Schema Refinement

Reasoning about Functional Dependencies

Normal Forms

Decompositions

Normalization

Other kinds of Dependencies

6

2 Physical Database Design and Tuning

Introduction to Physical Database Design

Guidelines for Index Selection

Basic Examples of Index Selection

5

128

Clustering and Indexing

Indexes on Multiple-Attribute Search keys

Indexes that Enable Index-Only Plans

Overview of Database Tuning

Choices in Tuning the Conceptual Schema

Choices in Tuning Queries and Views

Impact of Concurrency

DBMS Benchmarking

3 Parallel and Distributed Databases:

Architectures for Parallel Databases

Parallel Query Evaluation

Parallelizing Individual Operations

Parallel Query Optimization

Introduction to Distributed Databases

Distributed DBMS Architectures

Storing Data in a Distributed DBMS

Distributed Catalog Management

Distributed Query Processing

Updating Distributed Data

Introduction to Distributed Transactions

Distributed Concurrency control

Distributed Recovery

12

SECTION - II

4 Working with PL/SQL

Generic PL/SQL Block,

SQL Transactions

Error Handling in PL/SQL (System and User Define)

Cursors: Types of Cursor, Cursor with Loops, Parameterized Cursor, Nested

Cursor

11

5 PL/SQL Database Objects

Stored Procedures and Functions: IN, OUT and INOUT parameters

Triggers: Types of Triggers (Raw Trigger, Statement Trigger, Before and After

Trigger, Combination trigger),Create and Delete Trigger

Package: Introduction, Create, Invoke, Alter, overloading Procedure and

Functions

11

Practical content List of programs specified by the subject teacher based on above mentioned topics

MOOC/ Certification Courses

1 https://www.w3schools.com/sql/

2 https://nptel.ac.in/courses/106/106/106106220/

3 https://www.tutorialspoint.com/plsql/index.htm

129

Text Books

1 Database Management System by Raghu Ramakrishnan/Johannes Gehrke – 2nd Edition,MC

Graw Hill

2 SQL,PL/SQL The Programming language of Oracle by Ivan Bayross – 4th Revised Edition ,

BPB Publication

Reference Books

1 Fundamentals of Database Systems by Ramez Elmasri and Shamkant B. Navathe

-4th Edition Pearson Education.

2 Database Systems:Concepts, Design and Applications by S. K. Singh., Pearson

Education

3 Database System Concepts by Abraham Silberschatz,Henry F. Lorth,S.Sudarshan – 5th Edition

,MC Graw Hill

4 Oracle Database 11g PL/SQL Programming by Michael Mclaughlin (Oracle Press)

Question Paper Scheme: University Examination Duration: 3 Hours Note for Examiner: - (I) Questions 1 and 4 are compulsory with no options. (II) Internal options should be given in questions 2, 3, 5 and 6. SECTION - I Q.1 –8 Marks Q.2 –11 Marks Q.3 –11 Marks SECTION - II

Q.4 –8 Marks Q.5 –11 Marks

Q.6 –11 Marks

130

GANPAT UNIVERSITY

FACULTY OF COMPUTER APPLICATIONS Programme Master of Computer Applications Branch/Spec. Master of Computer Applications

Semester V Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2019

Subject Code P15A3SEO Subject Name SEO & DIGITAL MARKETING

Teaching scheme Examination scheme (Marks)

(Per week) Lecture (DT) Practical (Lab.) Total CE SEE Total

L TU P TW

Credit 03 00 02 00 05 Theory 40 60 100

Hours 03 00 04 00 07 Practical 20 30 50

Objective:

To provide wide opportunities of Digital media marketing and SEO field in cutting edge technologies.

Pre-requisites:

Basic knowledge to access internet and social media.

Learning Outcome:

After completing this course, students should be able to:

Students gain an overall understanding of Digital Marketing.

Develop insight on Current Trends – Digital and Social Statistics.

Introduction to Social Marketing Platforms like Facebook, YouTube, etc.

To gain and implement of Search Engine Optimization (SEO) in Digital Media.

To acquire web analytics skills for business analysis, tracking, monitoring and controlling.

Content:

Unit Hrs

SECTION – I

1 Introduction to Digital Media Marketing:

Overview of Digital Marketing, Types of Digital Marketing, Need of Digital Marketing,

How to Create a Digital Marketing Strategy, Future digital marketing, Digital Marketing

models

Email, Video and Mobile Marketing

Overview of Email & Mobile Marketing, Email & Mobile marketing strategy, Mail

Chimp, Email scheduling & automation, Mobile Commerce, Mobile Integration and

Mobile Analytics, Video Marketing, Virtual Reality marketing

14

131

2 Social media Marketing Media Marketing

Social Media advertising (PPC), Blog Optimization, Business Listing, Facebook paid

marketing Strategy, Multi-Channel Social Media Strategy, LinkedIn Lead generation &

Personal Branding, ROI of Social Media marketing, SMS marketing

8

SECTION – II

3 Introduction to Search Engine Optimization:

Definition, SEO Vs SEM, Components of Search Engine, Phases of SEO, SEO Tactics

Methods – White Hat Vs. Black Hat, Types of SEO methods - On Page, Off Page and

Local SEO, SEO audit, Link building

SEO Tools & Techniques

Webmaster Tools, Trend Analysis Tools, Keyword Planner Tool, Competitor Analysis,

Google Ads (adword), ahrefs, longtailpro, Woorank, CanlRank, SEMrush, SEObility,

DareBoost, LSIGraph, Moz, LinkMiner, pitchbox, seedkeywords, seoptimer, backlinko,

authoritylabs, Small SEO tool.

16

4 Web Analytics:

Introduction of Web Analytics, Importance of Google Analytics, When Analytics

actually need, on Site vs. Off-Site Web analytics, Major Web Analytics Tools, Google

Analytics - Setting up website with web analytics, Set Goals, Funnels, Filters,

Segmentation, Monitor Website Traffic, Traffic Source, Visitors, Event Tracking,

Tracking Conversions, Analytics Monitoring.

07

Practical Content:

List of programs specified by the subject teacher based on above mentioned topics

Text Book:

1 The art of Digital Marketing by Ian Dodson, John Wiley & sons publication.

Reference Books:

1 Digital Marketing using Google Services by Balu and Latha, LocSea Software Development

Private Limited.

2 eMarketing - the essential guide to marketing in a Digital World by Rob Stokes and the Minds of

Quirk, 5th Edition, Quirk eMarketing (Pty) Ltd.

3 Digital Marketing Analytics by Chuck Hemann & Ken Burbary, Que publishing.

4 Mastering Search Analytics by Brent Chaters, O'reilly publication.

5 Marketing 4.0 Moving from Traditional to Digital by Philip Kotler, Hermawan Kartajaya, Iwan

Setiawan, Wiley publication, 2017

6 Search Engine Optimization With Wordpress Website and SEO Free tools Knowledge.

7 Social Media Marketing by Dave Evants with Jake McKee, Wiley Publishing.

8 Fundamentals of Digital Marketing by Puneet Singh Bhatia, Person, 1st Edition, 2017.

9 Digital Marketing by Seema Gupta, Mc-Graw Hill, 1st Edition, 2017.

MOOC/Certification Courses:

1 https://moz.com/

132

2 https://seositecheckup.com/

3 https://www.semrush.com/

4 https://yoast.com/what-is-local-seo/

5 https://www.seoptimer.com/

6 https://ahrefs.com/blog/seo-audit/

7 https://www.yourprimer.com/in

Question Paper Scheme:

University Examination Duration: 3 Hours

Note for Examiner: -

(I) Questions 1 and 4 are compulsory with no options.

(II) Internal options should be given in questions 2, 3, 5 and 6.

SECTION - I

Q.1 –8 Marks

Q.2 –11 Marks

Q.3 –11 Marks

SECTION - II

Q.4 –8 Marks

Q.5 –11 Marks

Q.6 –11 Marks

133

GANPAT UNIVERSITY

FACULTY OF COMPUTER APPLICATIONS Programme Master of Computer Applications Branch/Spec. Master of Computer Applications

Semester V Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2019

Subject Code P15A4AAD Subject Name ANDROID APPLICATION DEVELOPMENT

Teaching scheme Examination scheme (Marks)

(Per week) Lecture (DT) Practical (Lab.) Total CE SEE Total

L TU P TW

Credit 02 01 02 00 05 Theory 40 60 100

Hours 02 01 04 00 07 Practical 20 30 50

Objective:

To explore and quickly to learn the skeleton of Mobile platform using Android Programming.

Pre-requisites:

Java programming and Object-oriented programming, Knowledge of RDBMS

Learning Outcome:

After completing this course, students should be able to:

To understand and develop Android application using Java.

To be capable to learn the process of developing software for the mobile.

To be able to implement mobile applications on the Android Platform.

To be able to create mobile applications involving data storage in SQLite database.

Content:

Unit Hrs

SECTION – I

1 Introducing Android:

The Android Platform, Exploring Android SDK, Testing Your Development

Environment, Important Android Terminology, Application Context, Application Tasks

with Activities

Android Manifest File and Application Resources:

Configuring Android Manifest File, Managing Application’s Identity, Enforcing

Application System Requirements, Registering Activities and other Application

Components, Working with Permissions, Working with Resources

09

2 Exploring User Interface Screen Elements:

Introducing Android Views and Layouts, Displaying Text with Text View, Retrieving

Data From Users, Using Buttons, Check Boxes and Radio Groups, Getting Dates and

14

134

Times From Users, Using Indicators to Display Data to Users, Adjusting Progress with

Seek Bar, Providing Users with Options and Context Menus, Handling User Events,

Working with Dialogs, Working with Styles, Working with Themes

Layouts and Animation:

Creating User Interfaces in Android, Organizing User Interface, Using Built-in Layout

Classes, Using Built-in View Container Classes, Drawing on the Screen, Working with

Text, Working with Bitmaps, Working with Shapes, Working with Animations

SECTION – II

3 Using Android Data and Storage APIs:

Working with Application Preferences, Working with Files and Directories, Storing

Structured Data using SQLite Databases

Sharing Data Between Applications with Content Providers:

Exploring Android’s Content Providers, Modifying Content Providers Data, Acting as a

Content Provider, Working with Live Folders

11

4 Advance Layout:

Recycler View, Card Layout, Drawer Layout, Floating Button, Custom Adapters, Custom

List View

Using Android Networking, Web and Telephony APIs:

Understanding Mobile Networking Fundamentals, Accessing the Internet (HTTP),

Browsing the Web with Web View, Building Web Extensions using Web Kit, Working

with Flash, Working with Telephony Utilities, Using SMS, Making and Receiving Phone

Calls

11

Practical Content:

List of programs specified by the subject teacher based on above mentioned topics

Text Book:

1 Android Wireless Application Development By Lauren Darcey and Shane Conder,

Pearson Education, 3rd Edition

Reference Books:

1 Beginning Android Application Development By Wei-Meng Lee, Wrox Publication

2 Professional ANDROID 4 Application Development, By Reto Meier, Wrox Publication, Latest Edition

3 Unlocking Android Developer’s Guide By Frank Ableson and Charlie Collins and Robi Sen, Manning Publication Co.

MOOC/ Certification Courses:

1 https://developer.android.com/

2 https://www.udemy.com/learn-android-application-development-y/

Question Paper Scheme:

University Examination Duration: 3 Hours

Note for Examiner: -

(I) Questions 1 and 4 are compulsory with no options.

(II) Internal options should be given in questions 2, 3, 5 and 6.

SECTION - I

135

Q.1 –8 Marks

Q.2 –11 Marks

Q.3 –11 Marks

SECTION - II

Q.4 –8 Marks

Q.5 –11 Marks

Q.6 –11 Marks

136

GANPAT UNIVERSITY

FACULTY OF COMPUTER APPLICATION Programme Master of Computer

Application

Branch/Spec. Computer Applications

Semester V Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2019

Subject code P15A2IAD Subject Name ELECTIVE-VIII I-PHONE APPLICATION DEVELOPMENT

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 02 01 02 00 05 Theory 40 60 100

Hours 02 01 04 00 07 Practical 20 30 50

Objective:

To explore and quickly to learn the skeleton of Mobile platform using I-Phone Programming. Pre-requisites:

Student must have knowledge of Programing language like C,VB, C# and concepts of OOPS.

Learning Outcome:

Student can create IPhone based mobile application. Student can also upload their apps on Apple Store. The main objectives to give the subject Mobile Application Development in iOS are:

To introduce basic concepts of IOS Application Programming.

To introduce iOS

To introduce Building Mobile Application with iOS

Theory syllabus

Unit Content Hrs

Section - I

1 Introduction to IOS Application Programing Introduction to Objective C and Swift The Development Tools, the Learning Approach and the App Idea Your First Taste of Swift with Playgrounds Introduction to Auto Layout Designing UI Using Stack Views

04

2 Introduction to Prototyping Creating a Simple Table-based App, Working with Static Table Views, Customize Table Views Using Prototype Cell, Interacting with Table View, edition of row, Table Row Deletion, Swipe for Action, Activity Controller and MVC

06

137

3 Outlets, Action, Segue View Controller to Outlet and Actions, Using alert View, Introduction to Navigation Controller and Segue Object Oriented Programming, Project Organization and Code Documentation Detail View Enhancement

04

4 Navigation, animations and MAP: Navigation on multiple pages, Navigation Bar Customization Extensions and Dynamic Type Working with Maps, Device Rotation Basic Animations

06

SECTION II

1 Camera and Gesture reorganization Camera and Library Access, types of screen rotation, All external libraries and bundle resources. Pinch and drag Gesture.

06

2 Explore Interface with Input and screen Using keyboard, customizing the types of input, set keypad with number pad, Exploring Tab Bars and Storyboard References Exploring CloudKit, Keychain

05

3 Deploying and Testing Localizing Your App to Reach More Users Deploying and Testing Your App on a Real iOS Device

04

4 Working with DATABASE Working with Core Data and SQLite Database, Developing User Notifications in iOS Beta Testing with TestFlight and CloudKit Production Deployment Submitting Your App to App Store

10

Practical content

List of programs specified by the subject teacher based on above mentioned topics

Text Books

1 Beginning IOS Programing with Swift –by AppCoda

Reference Books

1 Beginning Swift Programming (WROX) by Wei-Meng Lee 2 The Swift Developer's Cookbook by Packt Publishing Limited

3 https://www.appcoda.com/learnswift/

MOOC/ Certification Courses

1 https://www.appcoda.com/learnswift/

2 https://www.appcoda.com/category/swift-2/

University Examination Duration: 3 Hours

Note for Examiner: -

(I) Questions 1 and 4 are compulsory with no options.

(II) Internal options should be given in questions 2, 3, 5 and 6.

138

SECTION - I

Q.1 –8 Marks

Q.2 –11 Marks

Q.3 –11 Marks

SECTION - II

Q.4 –8 Marks

Q.5 –11 Marks

Q.6 –11 Marks

139

GANPAT UNIVERSITY

FACULTY OF COMPUTER APPLICATIONS Programme Master of Computer Applications Branch/Spec. Master of Computer Applications

Semester V Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2019

Subject Code P15A5ML4 Subject Name MACHINE LEARNING-II

Teaching scheme Examination scheme (Marks)

(Per week) Lecture (DT) Practical (Lab.) Total CE SEE Total

L TU P TW

Credit 2 1 2 - 5 Theory 40 60 100

Hours 2 1 4 - 7 Practical 20 30 50

Objective:

To Understand the students, the role of unsupervised learning in Analytics

To Understand how to apply ensemble techniques in solving problem

To Understand recommender systems and their business applications

To learn various pre-processing steps to prepare text data for modelling

Pre-requisites:

Basic Knowledge of Statistics and Programming Language

Learning Outcome:

After completing this course, students should be able to:

Apply different types of clustering techniques

Build and measure ensemble models by setting different hyper parameters

Build and evaluate recommendation systems

Learn to develop model for sentiment classification

Content:

Unit SECTION – I Hrs

1 Introduction to Unsupervised Learning Algorithms

Introduction to unsupervised learning, Introduction to Clustering, Distance and Dissimilarity

measures used in Clustering, Euclidean distance, Standardized Euclidean distance, Manhattan

distance, Minkowski distance, Jaccard Similarity Coefficient, Cosine similarity, Gower’s Similarity

coefficient, Quality and Optimal number of clusters, clustering algorithms, K-Means clustering

and Hierarchical clustering.

10

140

2 Advanced Machine Learning

How Machines Learn?, Gradient Decent Algorithm, Developing a Gradient Descent algorithm for

Linear Regression Model, Scikit-Learn library for Machine Learning, Steps for building Machine

learning models, Bias-variance Trade-off, K-fold cross validation, advanced Regression Models,

Advanced Machine Learning Algorithms, dealing with Imbalanced datasets, K-Nearest

Neighbours(KNN) algorithm, Introduction to ensemble methods, Introduction to Ensemble

methods, Random Forest algorithm, Building and evaluating Random Forest algorithm, Boosting

algorithm, Model building using Adaboost and Gradient Boosting algorithm.

13

SECTION – II

3 Recommender Systems

Introduction to Recommender system, Application of Recommender system, Basic Models for

Recommender system, Association rule mining, Association rules metrics, support, confidence,

lift, applying association rules, Loading the dataset, Encoding the transactions, generating

association rules, Introduction to collaborative filtering, how to find similarity between users,

User based and item based similarity, Matrix factorization

11

4 Text Analytics

Introduction to text analytics, Sentiment classification, Loading the dataset, Exploring the

dataset, text pre-processing, Bag-of-words model, creating count vectors for sentiment train

dataset, displaying document vectors, removing low frequency words, removing stop words,

creating count vectors, distribution of words across different sentiment, Naïve-Bayes Model for

sentiment classification, using TF-IDF vectorizer, challenges of Text Analytics

11

Practical Content:

List of programs specified by the subject teacher based on above mentioned topics

Reference Books:

1 Kumar, U. D. (2017). Business Analytics: The Science of Data-driven Decision Making. Wiley India.

2 Kumar, U.D et al. machine Learning Using Python. Wiley India.

MOOC/ certification Courses:

1 Machine Learning A To Z || Complete Course by Andrew Ng || Beginner to Advance ML

https://www.youtube.com/watch?v=PPLop4L2eGk&list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN

2 Machine Learning NPTEL course

https://www.youtube.com/watch?v=BRMS3T11Cdw&list=PLYihddLF-CgYuWNL55Wg8ALkm6u8U7gps

Question Paper Scheme:

University Examination Duration: 3 Hours

Note for Examiner: -

(I) Questions 1 and 4 are compulsory with no options.

(II) Internal options should be given in questions 2, 3, 5 and 6.

SECTION - I

141

Q.1 –8 Marks

Q.2 –11 Marks

Q.3 –11 Marks

SECTION - II

Q.4 –8 Marks

Q.5 –11 Marks

Q.6 –11 Marks

142

GANPAT UNIVERSITY

FACULTY OF COMPUTER APPLICATIONS Programme Master of Computer Applications Branch/Spec. Master of Computer Applications

Semester V Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2019

Subject Code P15A5BDA4 Subject Name BIG DATA ANALYTICS-IV

Teaching scheme Examination scheme (Marks)

(Per week) Lecture (DT) Practical (Lab.) Total CE SEE Total

L TU P TW

Credit 2 1 2 - 5 Theory 40 60 100

Hours 2 1 4 - 7 Practical 20 30 50

Objective:

To understand the concepts of Scala and learn their implementation. To understand the Apache Spark. To understand Spark Resilient Distributed Datasets – Transformation, Action.

Pre-requisites:

Basic knowledge of Object Oriented programming concepts, Java, Python concepts and any of the Linux operating system flavors.

Learning Outcome:

After completing this course, students should be able to:

Concepts of Scala and its implementation. Concepts of Spark and how it is used along with Spark.

Content:

Unit Hrs

SECTION – I

1 Scala Programming:

Introduction: Introduction to Scala, History of Scala, Features Basic Syntax, Scala

Comments, Data types, Scala Basic Literals, Variables Concept and Operators.

Conditional Expressions: If-Statement, If-else, While, do-while, for, Pattern matching,

break statement.

Scala Function: Function declaration, function definition, Function calling, Functions-

Call by name, Functions with named arguments, Functions with variable arguments,

Default parameter values, Nested functions, Recursion, Scala Closures.

11

2 Scala Classes and Objects: Object, Class, Extending a Class, Singleton Object, Access

Modifiers: Private Members, Protected Members, Public Member, Scope of Protection ,

Constructors, Method overloading, Inheritance.

Scala String Concept: Introduction, String Length, Concatenating String, Format String,

12

143

String Interpolation: The ‘s’ String Interpolator, The ‘f’ Interpolator, raw’ Interpolator;

type of String Methods.

Scala Arrays: Declaring Array Variables, Processing Arrays, Multi-Dimensional Arrays,

Array Methods.

SECTION – II

3 Advance Scala Programming :

Scala Collections: Scala Lists, Scala Sets, Scala Maps, Scala Tuples, Scala Options,

Scala Iterators.

Scala Expressions: Pattern Matching, Matching using Case Classes, Regular Expressions,

the Forming Regular Expressions, Exception Handling

File Input-Output: Reading and Writing of files

10

4 Apache Spark :

Introduction to Apache Spark: Features of Apache Spark, Apache Spark Architecture,

Apache Spark Ecosystem Components, Spark Applications, Install Spark, Spark Shell

Commands to Interact with Spark-Scala.

Resilient Distributed Dataset (RDD): Introduction of RDD, Spark RDD vs DSM,

Features of RDD in Spark.

Spark RDD operations: Create RDDs in Apache Spark, RDD Transformation Function:

Map, Flat Map, Filter, Map Partitions, Map Partition With Index, Union, Intersection,

Distinct, Group By Key, Reduce By Key, Sort By Key, Join; RDD Action: Count,

Collect, Take ,Top, Reduce, Aggregate;

12

Practical Content:

List of programs specified by the subject teacher based on above mentioned topics

Text Book:

1 Scala Cookbook by Alvin Alexander-Oreilly Publisher

2 Programming in Scala by Martin Odersky, Lex Spoon, Bill Venners, 3rd Edition, ARTIMA PRESS

3 Beginning Apache Spark 2 by Hien Luu, Apress publication

MOOC/ Certification Courses:

1 Programming Scala by Dean Wampler, Alex Payne , O'Reilly Publisher

2 Scala for the Impatient by Cay S. Horstmann , Wesley Professional Publisher

3 Apache Spark Graph Processing by Rindra Ramamonjison, Packt Publishing

Web Reference:

1 https://data-flair.training/blogs/scala-environment-setup/

2 https://www.tutorialspoint.com/scala/index.htm

Question Paper Scheme:

University Examination Duration: 3 Hours

Note for Examiner: -

(I) Questions 1 and 4 are compulsory with no options.

(II) Internal options should be given in questions 2, 3, 5 and 6.

SECTION - I

Q.1 –8 Marks

144

Q.2 –11 Marks

Q.3 –11 Marks

SECTION - II

Q.4 –8 Marks

Q.5 –11 Marks

Q.6 –11 Marks

144

GANPAT UNIVERSITY

FACULTY OF COMPUTER APPLICATIONS Programme Master of Computer Applications Branch/Spec. Computer Applications

Semester V Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2019

Subject Code P15A5CSF4 Subject Name CYBER SECURITY AND FORENSIC-III

Teaching scheme Examination scheme (Marks)

(Per week) Lecture (DT) Practical (Lab.) Total CE SEE Total

L TU P TW

Credit 2 1 2 - 5 Theory 40 60 100

Hours 2 1 4 - 7 Practical 20 30 50

Objective:

To emphasize the fundamental and importance of digital forensic and incident response. The students will

learn different techniques and procedure that enable them to conduct a digital investigation systematically.

This course majorly focuses on network and host based digital evidence collection.

Pre-requisites:

Fundamental knowledge of cyber security , cyber-attacks and cyber law

Learning Outcome:

After completing this course, students should be able to:

Describe incident response process

Define digital forensic, the role of digital forensic and its process

Examine and collect several sources of network based and host-based evidence in the event of

incident

Prepare, document and report digital evidence whenever required

Content:

SECTION-I

Unit Hrs

1 Incident Response

Incident response process, the role of digital forensic, incident response process,

incident response framework, incident response plan, incident classification, incident

response playbook, escalation procedure, maintaining the incident response

capability, Cyber Security Vs. Cyber Forensic

07

2 Forensic Fundamentals

Introduction, Laws and regulations, rules of evidence, digital forensic fundamentals,

digital forensic process, Digital forensic lab, Physical security, Tools, Hardware,

08

145

Software, Jump kit,

3 Network Evidence Collection

Classification of Network Forensic Systems, Challenges in Network Forensic

Analysis, Network Forensic Process Models, configuration: Logs and log

management, network device evidence, Security information and event management

system, Security onion, packet Capture, tcpdump, winpcap and rawcap, wireshark,

Evidence collection

08

SECTION-II

4 Acquiring Host-Based Evidence Collection

Preparation, Evidence volatility, Evidence acquisition, Evidence collection

procedures, Memory acquisition, Non-volatile data,

07

5 Understanding Forensic Imaging

Overview of forensic imaging, Preparing a stage drive, Imaging : Dead Imaging, Live

Imaging, Imaging with linux

07

6 Forensic Reporting

Documentation overview, What to document, Types of documentation, Sources,

Audience, Incident tracking, Fast incident response, Written reports, Executive summary,

Forensic report

08

Practical Content:

List of programs specified by the subject teacher based on above mentioned topics

Text Book:

1 Digital Forensics and Incident Response - An intelligent way to respond to attacks 1st edition by

Gerard Johansen Published by Packt Publishing Ltd.

Reference Books:

1 Real Digital Forensics 1st edition by Keith J. Jones, Richard Bejtiich, Curtis W. Rose, Published by

Addison Wesley Pearson Education

2 Computer Evidence Collection & Presentation 1st edition by Christopher L.T. Brown Published by

Firewall Media

3 Digital Forensic with Open Source Tools, 1st Edition by Cory Altheide, Harlan Carvery by syngress

Question Paper Scheme:

University Examination Duration: 3 Hours

Note for Examiner: -

(I) Questions 1 and 4 are compulsory with no options.

(II) Internal options should be given in questions 2, 3, 5 and 6.

SECTION - I

Q.1 –8 Marks

Q.2 –11 Marks

Q.3 –11 Marks

SECTION - II

Q.4 –8 Marks

Q.5 –11 Marks

Q.6 –11 Marks

146

147

GANPAT UNIVERSITY

FACULTY OF COMPUTER APPLICATIONS Programme Master of Computer

Applications

Branch/Spec. Master of Computer Applications

Semester V Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2019

Subject code P15A5CC4 Subject Name Microsoft Azure

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 2 1 2 ------ 5 Theory 40 60 100

Hours 2 1 4 ------ 7 Practical 20 30 50

Objective

Students can understand and hands on different types of concepts and services for cloud computing using Microsoft Azure.

Pre-requisites

Operating System Concepts, Computer Network Concepts, Programming concepts, Cloud Computing Concepts

Learning Outcome

Students successfully completing this course will be able to understand terminology, concepts and services of Microsoft Azure platform like Microsoft Azure Management Portal and its services

Theory syllabus

Unit Content Hrs

SECTION – I

1 Introduction to Microsoft Azure, Components, Compute Module, Fabric Controller, Storage, Blobs, Queues, Tables, CDN, Applications, Security, Datacentres

7

2 Azure Management Portal, Azure - Create Virtual Network, Azure - Deploying Virtual Machines, Azure - Endpoint Configuration, Azure - Point-to-Site Connectivity, Azure - Site-to-Site Connectivity

8

3 Microsoft Azure - Traffic Manager, Microsoft Azure - PowerShell, Azure - Monitoring Virtual Machines, Azure - Setting Up Alert Rules, Azure - Application Deployment Microsoft Azure - Backup & Recovery

7

SECTION – II

4 Azure - Self-Service Capabilities, Azure - Multi-Factor Authentication, Azure - Forefront Identity Manager, Azure - Data Import & Export Job, Microsoft Azure - Websites

7

5 Microsoft Azure - Scalability, Microsoft Azure - Disk Configuration, Microsoft Azure - Disk Caching, Microsoft Azure - Personalize Access, Azure - Personalize Company Brand

8

6 Azure - Self-Service Password Reset, Microsoft Azure - Self-Service Group, Microsoft Azure - Create a Group, Azure - Security Reports & Alerts, Azure - Orchestrated Recovery, Microsoft Azure - Health Monitoring, Microsoft Azure - Upgrades the services

8

148

Text Book:

1 Fundamentals of Azure Second Edition Microsoft Azure Essentials, Michael Collier Robin

Shahan, Microsoft Reference Books

1 Learn Azure in a Month of Lunches, Book by Iain Foulds, Manning Publications

2 Building Cloud Apps with Microsoft Azure: Best Practices for DevOps, Data Storage, High

Availability, and More (Developer Reference) Kindle Edition

by Scott Guthrie (Author), Mark Simms (Author), Tom Dykstra (Author), Rick

Anderson (Author), & 1 more

3 Microsoft Azure Essentials Azure Web Apps for Developers Kindle Edition

by Rick Rainey (Author)

4 Introducing Windows Azure for IT Professionals 1st Edition, Kindle Edition

by Mitch Tulloch (Author)

5 Microsoft Azure Essentials Azure Machine Learning Kindle Edition

by Jeff Barnes (Author)

MOOC/ Certification Courses

1 https://azure.microsoft.com/en-us/

2 https://docs.microsoft.com/en-us/azure/

3 https://www.tutorialspoint.com/microsoft_azure/

Question Paper Scheme:

University Examination Duration: 3 Hours

Note for Examiner: -

(I) Questions 1 and 4 are compulsory with no options.

(II) Internal options should be given in questions 2, 3, 5 and 6.

SECTION - I

Q.1 –8 Marks

Q.2 –11 Marks

Q.3 –11 Marks

SECTION - II

Q.4 –8 Marks

Q.5 –11 Marks

Q.6 –11 Marks

149

GANPAT UNIVERSITY

FACULTY OF COMPUTER APPLICATIONS Programme Master of Computer Application Branch/Spec. Computer Applications

Semester V Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2019

Subject Code P15A6SDP1 Subject Name SYSTEM DEVELOPMENT PROJECT - I

Teaching scheme Examination scheme (Marks)

(Per week) Lecture (DT) Practical (Lab.) Total CE SEE Total

L TU P TW

Credit - - 5 - 5 Theory - - -

Hours - - 10 - 10 Practical 60 40 100

Pre-requisites:

Students have basic knowledge of system analysis and design with the implementation ability in any one

technology.

Learning Outcome:

Student can study, analyse, design, implement and evaluate the information system.

Theory Syllabus : NA

Rules for the Project:

The students can develop their project individually or in a group of two is preferable.

The project can be developed in any language or platform but it is required to get it

approved by the head of the department. For the purpose of approval, they have to

submit their project titles and proposals with the name of internal and external

guides to the Head of Institution or Project Coordinator within 7 days of the

commencement of the semester. In case, if the student proposal is rejected, the

revised proposal in the same or other area, is required to submit and get it sanctioned

within next 7 days. Failing to do this, he/she will not be qualified for this subject.

The students have to report to the internal guide for at least 3 times during the

project lifespan with the progress report duly signed by guide. Moreover, they have

to bring these reports with the final report at the time of external examination.

The Internal Guide/Project Coordinator of Department will give the internal marks.

These marks may be given on the bases of regular reporting of the student to the

internal guide, quality of project work and a report obtained from the external guide.

150

The external examiners appointed by the University will give the external marks on

the basis of the heads like Presentation, Demonstration, Viva Voice, and

Documentation etc. The distribution of the marks to different heads may be decided

at the time of evaluation of the project but it is expected to have the same

distribution.

Text Books:

N.A.

Practical content:

N.A.

Web Reference:

N.A.