irst semester

2

IRST SEMESTER

Course Title: CORE THEORY T1-PRINCIPLES OF DATABASE MANAGEMENT SYSTEMS

(For Students admitted from 2020 onwards)

Course Code

: XX29101 (XX-Year of admission) Credits : 04

L:T:P:S : 3:1:0:0 CIA Marks : 40

Exam Hours : 03 ESE Marks : 60

Course Objectives:

To understand the fundamentals of data models and conceptualize and depict a database system using ER diagram

To make a study of SQL and relational database design.

To know about data storage techniques and query processing.

To impart introductory knowledge on NoSQL.

Course Outcomes: At the end of the Course, the Student will be able to:

CO 1

Explain difference between file system and database system, the basic concepts of data models and its classification like ER model, relational model, network model, object oriented model and case study as ER model.

CO 2

Discuss the relational database terminologies; analyze types of keys in relational database system. Understand the Relational algebra and improve the performance of database by normalization and hence the types of normal forms.

CO 3

Implementation of Relational Database in Oracle SQL, analyzing of DDL, DML and DRL

statements, Joins, Group functions and Integrity Constraints with syntax and examples.

CO 4

Demonstrate the types of PL/SQL statements with examples and hence discuss the

purpose of Cursors, Triggers, Procedures and Functions in PL/SQL with its

implementation.

CO 5

Apply the database tuning methodologies on Indexes, Database Design, and Queries. Explain the Transaction States and properties of Transactions and acquire the basic knowledge about concurrency techniques over databases.

Mapping of Course Outcomes to Program Specific Outcomes:

PSO 1

PSO 2

PSO 3

PSO 4

CO1 3 2 3 3

CO2 3 3 3 3

CO3 3 3 2 2

CO4 3 2 2 2

CO5 3 2 2 2

3-Strong 2-Medium 1-Low

3

Sl

No .

Contents of Module

Hrs COs

1

Introduction to Databases- Characteristics of the Database -Advantages of using DBMS - Categories of Data Models-Schemas and Instances -Three-Schema Architecture-Data Independence– Conceptual Modeling using ER Model: Entities and Attributes, Entity types and Entity sets, Relationship types, Degree of a Relationship Type, Weak Entity types, Notations for ER diagrams, Naming Conventions, An Example ER diagram.

12

CO1

2

Relational Model Concepts: Domains, Attributes, Tuples, Relations, Types of Keys- Relational Algebra: Unary Operations, Operations from Set Theory, Cartesian product, Division and Rename. Normalization: Purpose of Normalization – Functional Dependencies –First Normal Form, Second

12

CO2

4

Normal Form, Third Normal Form-Boyce-Codd Normal Form (BCNF).

3

Basic SQL: Attribute Data types and Domains in SQL -DDL Commands- DML Commands-Select statement using where, in, between, order by, like, distinct, relational operators and logical operators- Numeric functions-Character functions -Date functions- - SQL Group functions - SQL Set Operators – Commit-Rollback-Integrity Constraints in SQL.

12

CO3

4 Nested Query-Inner Joins-Outer Joins-Format of PL/SQL Block-Decision making statements in PL/SQL-Looping Statements in PL/SQL-Implicit Cursor- Explicit Cursor- Built-in Exceptions -User- Defined Exceptions.

12

CO4

5 Indexing: Types of Indexing - Transaction and System Concepts: Transaction

States, The System Log, Commit point of a Transaction, Desirable properties of Transactions- Concurrency Control: Two-phase locking technique.

12

CO5

Text Books: 1. Ramez Elmasri and Shamkant B. Navathe, “Fundamentals of Database Systems”, 7

th Edition,

Pearson Education, 2017. (Units I,II,V)

2. Sharad Maheswari and Ruchin Jain, ―Introduction to SQL and PL/SQL‖, Firewall Media, 2016. (Units III,IV)

Reference Books:

1. Avi Silberschatz, Henry F. Korth and S. Sudarshan. “Database System Concepts”, 6th

Edition, McGraw Hill.

2. Raghurama Krishnan and Johannes Gehrke,―Data Base Management Systems‖, TMH 3rd Edition,2003

3. Majumdr, Bhattacharyya,‖ Data Base Management Systems‖, TMH ,96.

E-References:

1. https://nptel.ac.in/courses/106/105/106105175/

2. https://www.db-book.com/db6/slide-dir/index.html

3. https://beginnersbook.com/2015/04/dbms-tutorial/

4. https://www.technolamp.co.in/2011/09/database-management-systems-dbms-imp.html

http://www.db-book.com/db6/slide-dir/index.html

http://www.technolamp.co.in/2011/09/database-management-systems-dbms-imp.html

5

FIRST SEMESTER

Course Title: CORE THEORY T2-ADVANCED JAVA PROGRAMMING (For Students admitted from 2020 onwards)

Course Code


L:T:P:S : 3:1:0:0 CIA Marks : 40


Course Objectives:

To provide the ability to design a console based, GUI based and web based advanced applications.

Students will also be able to understand integrated development environment to create, debug and run multi-tier and enterprise-level applications

To develop distributed applications

Analyzing different problems in Web Applications and providing solutions

Applying the knowledge to develop Web Applications for industries and individuals.


CO1 Describe how servlets fit into Java-based web application architecture

CO2 Explain the concepts and terminologies of JSP

CO3 Build client-server web applications

CO4 Apply the concepts of RMI in an application

CO5 Design and implement dynamic web page with validation using JavaScript objects

CO6 Develop proficiency in creating solutions for web applications


PSO 1

PSO 2

PSO 3

PSO 4

CO1 3 3 2 1

CO2 3 3 3 2

CO3 3 3 3 3

CO4 3 3 3 2

CO5 3 3 3 2

CO6 3 3 3 3


Sl

No .

Contents of Module Hrs COs

1

Introduction to Javascript: Data types and literals –Type Casting - Variables - Java Script Array – Operators and Expressions - Java Script Programming Constructs- JavaScript Functions- Dialog boxes.

12

CO1,CO

5

2

Forms used by a Website: Form object-Form object‟s Methods - Different elements - Other built-in Object-User defined objects – Regular expression – Form validation.

12 CO6

3 Java Servlets: Servlet life-Cycle -Types of Servlet – Servlet Chaining -Forward Model - Include Model - Session Tracking Mechanisms -URl-Rewriting - Hidden Form Fields – Cookies-HttpSession - using JDBC in Servlets.

12

CO3

6

4 RMI : RMI Overview – Developing applications with RMI: Declaring & Implementing

remote interfaces - stubs & skeletons - Registering remote objects - writing RMI

clients – Pushing data from RMI Servlet – RMI over Inter- ORB Protocol.

12

CO4

5 JSP: JSP Overview – Advantages of JSP over Servlet - life Cycle of JSP Page -

Examining MVC and JSP - JSP Scripting Elements- JSP Directives - JSP implicit objects – JSP exception – JSP

12 CO2

7

action tags.

Text Books:

1. Ivan Bayross, ―Web Enabled Commercial Application Development Using HTMl, DHTMl, JavaScript, Perl CGI ―, BPB publication‖, 2l1l.

2. J. McGovern,R. Adatia,Y. Fain, ―J2EE 1.4 Bible‖, Wiley-dreamtech India Pvt. ltd, 2ll3.

Reference Books:

1. Thomas Powell and Fritz Schneider, "JavaScript 2.l The Complete Reference", Second Edition, McGraw-Hill,20l4.

2. Thomas A.Powell and Fritz Schneider, JavaScript: The Complete Reference, TataMcGraw Hill, 20l2.

3. Patrick Naughton and Herbert Schildt, Java 2: The complete Reference, Tata-

4. McGraw Hill Publishing, 2nd Reprint, 20l1.

5. Kogent Solution Inc, ―Java 6 Programming Black Book‖, Dreamtech Press, 20l7. 6. J2EE the Complete Reference, First Edition by Jim Keogh, Tata McGraw Hill, 20l2. 7. Java Servlet Programming, Second Edition by Jason Hunter, William Crawford, O'Reilly, 20l1.

E-References:

1. https://www.edureka.co/blog/advanced-java-tutorial 2. https://www.javatpoint.com/jsp-tutorial

3. https://www.javatpoint.com/servlet-tutorial

4. https://www.javatpoint.com/RMI

5. https://www.javascripttutorial.net/ 6. https://www.javatpoint.com/javascript-tutorial

http://www.edureka.co/blog/advanced-java-tutorial

http://www.edureka.co/blog/advanced-java-tutorial

http://www.javatpoint.com/jsp-tutorial

http://www.javatpoint.com/jsp-tutorial

http://www.javatpoint.com/servlet-tutorial

http://www.javatpoint.com/servlet-tutorial

http://www.javatpoint.com/RMI

http://www.javatpoint.com/RMI

http://www.javascripttutorial.net/

http://www.javascripttutorial.net/

http://www.javatpoint.com/javascript-tutorial

http://www.javatpoint.com/javascript-tutorial

8

FIRST SEMESTER

Course Title: CORE THEORY T3-ADVANCED DATA STRUCTURES AND ALGORITHMS


Course Code


L:T:P:S : 4:0:0:0 CIA Marks : 40


Course Objectives:

To impart the knowledge about the concepts of data structures and algorithms.

To enable the students to analyze the efficiency of algorithms.

Train the students to design and analyze linear and non-linear data structures.

Enable the students to implement suitable data structures and algorithms in real time applications


CO1 Analyze the performance of algorithms using asymptotic notations.

CO2 Evaluate and provide suitable techniques for solving a problem using basic properties of Data Structures.

CO3 Illustrate different types of algorithmic approaches to problem solving.

CO4 Understand the nature of problems and to develop prototypes or applications of varying complexities.

CO5 Determine the drawbacks of data structures and algorithms and assess the tradeoffs involved.


PSO 1

PSO 2

PSO 3

PSO 4

CO1 3 3 3 2

CO2 3 3 3 2

CO3 3 3 3 3

CO4 3 3 3 3

CO5 3 3 3 3


Sl

No .

Contents of Module

Hrs COs

1

Introduction: Abstract data types - asymptotic notations – complexity analysis – Arrays- representation of arrays. Linked lists: Singly linked list- Circular linked lists – Doubly linked lists. Stacks: Operation, array representation of a stack, Application – expression evaluation, Recursion – Towers of Hanoi. Queues: operations - circular queues.

12

CO1

2

Trees – Basic terminologies, Binary Trees – Binary Tree Traversals – Binary Tree

Representations – Binary Search Trees – Threaded Binary Trees- AVL Trees-Red- Black Trees.

12 CO2

3

Graphs: Representation of Graphs – Graph Implementation – Graph Traversals – BFS, DFS, Single-Source Shortest Path Problem- Dijkstra‟s algorithm, Bellman-Ford algorithm. Minimum Cost Spanning Trees by Prim‟s and Kruskal‟s algorithm– All Pair Shortest Path Problem- Floyd Warshall algorithm.

12

CO3

9

4 Divide and Conquer – Quick sort, Merge sort, Binary Search. Greedy Method: General Method– knapsack problem.

12 CO4

5 Back Tracking: General Method – 8-queens, Sum of Subsets. Branch and Bound:

General Method – Travelling Salesperson problem. 12 CO5

10

Text Books:

1. E. Horowitz, S. Sahni and S. Rajasekaran, ―Computer Algorithms‖, Galgotia Publishers, 2001.

2. E.Horowitz, S. Sahni and Mehta, ―Fundamentals of Data Structures in C++‖, Galgotia Publishers, 2000.

Reference Books:

1. G. L. Heileman, ―Data Structures, Algorithms and Object Oriented Programming‖, Revised Edition, TMH, 1999.

2. A.V. Aho, J.E. Hopcroft, J.D. Ullmann, ―The Design and Analysis of Computer Algorithms‖, Pearson

Education Asia, Addison Wesley Publishers, 2006.

3. S.K. Basu ,‖Design Methods and Analysis of Algorithms‖, Fourth Edition ,2013. 4. Kruse R.L, Leung B.P, Tondo C.L,‖ Data structures and Program design in C‖, Pearson, Second Edition,

2007

E-References:


2. https://www.programiz.com/dsa

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

4. https://www.javatpoint.com/daa-tutorial

http://www.programiz.com/dsa

http://www.programiz.com/dsa

http://www.tutorialspoint.com/data_structures_algorithms/index.htm

http://www.tutorialspoint.com/data_structures_algorithms/index.htm

http://www.javatpoint.com/daa-tutorial

http://www.javatpoint.com/daa-tutorial

11

FIRST SEMESTER

Course Title: CORE THEORY T4-OPERATING SYSTEM CONCEPTS (For Students admitted from 2020 onwards)

Course Code


L:T:P:S : 4:0:0:0 CIA Marks : 40


Course Objectives:

To be aware of the evolution and fundamental principles of operating system, processes and their communication

To understand the various operating system components like process management, memory management

To know about file management and the distributed file system concepts in operating systems

To be aware of components of operating system with relevant case study.


CO 1

Defining the need of operating system components and evolution, its architecture and

different types of system calls

CO 2

Introduce the concept of process, operations and scheduling and thereby explain the

concept of process scheduling, CPU scheduling criteria and algorithms. .

CO 3

Acquire the knowledge of process synchronization and illustrate the critical section

problems and ways to handle the dead lock problems with the help of algorithms.

CO 4

Explain and discuss the background of memory with segmentation and paging

techniques and the virtual memory management with various page replacement algorithms

CO 5

Describe file management with file organization, file access methods, B-trees, and File

System security.

CO 6

Sketch out the various storage structures with different disk scheduling algorithms. Explain

how a Linux server can be integrated within a multi-platform environment.


PSO 1

PSO 2

PSO 3

PSO 4

CO1 2 1 1 2

CO2 3 2 1 2

CO3 3 2 2 2

CO4 3 2 3 2

CO5 2 1 3 2

CO6 3 1 2 2


12

Sl

No .

Contents of Module

Hrs CO s

1

Introduction: Types of operating systems-operating systems services-System calls- Systems programs-Process Management: Process concept- Process Scheduling- Operation on Processes-Co-Operating Processes- Interprocess Communications-CPU Scheduling: Scheduling Criteria-Scheduling algorithms.

12

CO 1

2

Process Synchronization –Critical Section Problem – Semaphores-Classical problems of synchronization-Deadlock Characterization-Deadlock Prevention- Deadlock avoidance- Deadlock Detection-Deadlock Recovery.

12 CO2,

CO3

3 Memory Management-Swapping-Contiguous Memory Allocation-Paging-

Segmentation- Virtual Memory-Demand paging-Page Replacement-Thrashing. 12 CO

4

13

4

Disk Structures-Disk Scheduling algorithms-File Systems Organization-File concepts-File

Operations-Access methods-Directory Structures-File System Implementation-

Directory Implementation-Allocation Methods-Free Space management.

12 CO5,

CO6

5 History of Linux- Properties of Linux-Linux Commands-Overview of the Linux file

system- Manipulation of files –File Security. 12 CO6

Text Book: 1. Abraham Silberschalz Peter B Galvin, G.Gagne, ―Operating Systems Concepts‖, 9

th Edition, John Wiley &

Sons, 2013.

Reference Books: 1. Andrew S.Tanenbaum, ―Modern operating Systems‖, Third Edition, PHI Learning Pvt. Ltd., 2008.

2. D M Dhamdhere, ― Operating Systems: A Concept-based Approach‖, Second Edition, Tata McGraw- Hill Education, 2007.

3. H M Deital, P J Deital and D R Choffnes, ―Operating Systems‖, 3rd edition, Pearson Education, 2011.

4. William Stallings, ―Operating Systems: Internals and Design Principles‖, Seventh Edition, Prentice Hall, 2011.

E-References:

1. https://www.tutorialspoint.com/operating_system/index.htm

2. https://www.javatpoint.com/os-tutorial


https://www.tutorialspoint.com/operating_system/index.htm

https://www.javatpoint.com/os-tutorial

14

FIRST SEMESTER

Course Title: NON MAJOR ELECTIVE 1-BASICS OF STATISTICS (For Students admitted from 2020 onwards)

Course Code


L:T:P:S : 4:0:0:0 CIA Marks : 40


Course Objectives:

To provide an understanding of the statistical methods and probabilistic concepts by which real- life problems are analyzed (Focus on problems- No derivations)

To develop the students ability to deal with numerical and quantitative issues

To enable the use of statistical, graphical and algebraic techniques wherever relevant.


CO 1

Recall the concepts ofsamplespaces, events, axiomatic approach, conditional probability, Baye‟s

theorem. Summarize the random variables, expectation and variance. Demonstrate the chebyshev‟s inequality.

CO 2

Distinguish Discrete and continuous distributions. Solve the real time problems involving

various distributions like Binomial, Poisson and normal distributions.

CO 3

Explain the concept of Bivariate analysis and point out the importance of correlation

analysis, Regression analysis and various curves using method of least squares.

CO 4

Summarize the concept of sampling and various methods of sampling. Point out the

various errors such as standard error, type I error, type II error. Explain the Null

Hypothesis and alternative hypothesis. Point the importance of estimation.

CO 5

Differentiate large and small samples. Compare the various parametric tests like Z-test, t-

test, F

test by giving practical examples. Explain the non parametric chi square test with illustrated examples

CO 6

Restate the analysis of variance and classify the one way and two classifications. Categorize the computing randomized design and randomized block design. Define time series and list the components of time series. Illustrate the measurement of trend and seasonal variations.


PSO 1

PSO 2

PSO 3

PSO 4

CO1 3 3 2 3

CO2 3 3 1 2

CO3 3 3 1 2

CO4 3 2 1 3

CO5 3 2 2 2

CO6 3 3 3 3


15

Sl

No .

Contents of Module Hrs COs

1

Sample spaces - Events - Axiomatic approach to Probability - Conditional Probability - Independent Events -Baye's Formula - Random Variables - Continuous and Discrete Random Variables - Distribution Function of a Random Variables - Expectation, Variance -Coefficient of Variation -Chebyshev's Inequality.

12

CO1,CO

2

Bivariate Distribution – Conditional and Marginal Distributions – Discrete Distributions:

12 CO3

16

2 Discrete, Uniform, Binomial, Poisson and Geometric Distributions – Continuous Distributions: Uniform, Normal, Exponential and Gamma Distributions (only simple problems).

3

Correlation: Bivariate Data - Correlation between Two Variables - Covariance

between Two Variables - Karl Pearson‟s Coefficient of Correlation - Rank

Correlation. Regression Analysis: Simple Linear Regression - Regression Equations.

12

CO3,CO 4

4

Concepts of Sampling Distributions and Standard Error -Point Estimation (Concepts Only) - Interval Estimation of Mean and Proportion. Tests of Hypotheses - Critical Region - Two Types of Errors - Level of Significance - Power of the Test - Large Sample Tests for Mean and Proportion - Exact Tests Based on Normal, t, f and Chi- Square Distributions.

12

CO5

5 Basic Principles of Experimentation – Analysis of Variance – One Way and Two

Way Classifications – Computing Randomized Design – Randomized Block Design. 12 CO6

Text Book:

1. Gupta S.C and Kapoor V.K, ―Fundamentals of Mathematical Statistics‖, 11th

Edition, Sultan Chand &

Sons, India, 2007.

Reference Books:

1. P.R.Vital, ―Mathematical Statistics‖, Marghan Publication, 2004.

2. T.K.V. Iyengar ―Probability & Statistics for MCA‖. S. Chand & company, New Delhi, 2009 edition. 3. Trivedi, K.S, ―Probability and Statistics with Reliability, Queuing and Computer Science Applications‖, Prentice

Hall India,1994.

4. James T. McClave and Terry Sincich, ―Statistics‖, 12th Edition, Pearson Education, India, 2013.

5. Erwin Miller and John E.Freund, ―Probability and Statistics for Engineers‖, 7th Edition, Pearson Education, India, 2017.

E-References:

1. https://nptel.ac.in/courses/111/105/111105041/ 2. https://nptel.ac.in/courses/111/105/111105043/ 3. https://nptel.ac.in/courses/110/106/110106064/

17

FIRST SEMESTER

Course Title: CORE PRACTICAL P1-DATABASE PROGRAMMING LAB (For Students admitted from 2020 onwards)

Course Code


L:T:P:S : 0:0:5:0 CIA Marks : 40


Course Objectives:

To explain basic database concepts, applications, data models, schemas and instances.

To demonstrate the use of constraints and relational algebra operations.

Describe the basics of SQL and construct queries using SQL.

To emphasize the importance of normalization in databases.

To facilitate students in Database design

Lab Exercises:

1. DDL Statements

2. DML Statements

3. SELECT statement

4. Numeric functions

5. Character functions

6. Date functions

7. Group Functions

8. Set Operations

9. Nested query

10. Joins

11. Commit and Rollback

12. PL/SQL-Decision Making statements

13. PL/SQL-Looping statements

14. PL/SQL-Cursors

15. PL/SQL-Exception Handling

18

FIRST SEMESTER

Course Title: CORE PRACTICAL P2- ADVANCED JAVA PROGRAMMING LAB


Course Code


L:T:P:S : 0:0:5:0 CIA Marks : 40


Course Objectives:

The course covers Graphical User Interface (GUI) networking, JavaScript and database

Student will be able to use advanced technology in Java such as Remote method Invocation , JSP.

Student will be able to develop web application using Java Servlet.

Lab Exercises: 1. Design a form and implement java script showing all the major form validations. 2. JavaScript program illustrating the Date and Math Objects

3. JavaScript program to handle different events.

4. Basic Servlet Programming

5. Servlet Collaboration-Request Dispatcher

6. Session Management and Implementation of Cookies using Servlet

7. Developing a web application with MySQl Database using Servlet

8. Designing online applications with JSP 9. Creating Web services with RMI.

******End of First Semester******

19

SECOND SEMESTER

Course Title: CORE THEORY T5- PYTHON FOR DATA SCIENCE (For Students admitted from 2020 onwards)

Course Code


L:T:P:S : 3:1:0:0 CIA Marks : 40


Course Objectives:

To introduce Python programming language through its core language basics and program design techniques suitable for modern applications.

To understand the wide range of programming facilities available in Python covering graphics, GUI, data visualization and Databases.

To utilize high-performance programming constructs available in Python to develop solutions in real life scenarios.


CO1 Examine Python syntax and semantics and be fluent in the use of Python input output functions.

CO2 Create, run and manipulate Python Programs using core data structures like Lists,

Dictionaries and use Regular Expressions.

CO3 Interpret/Evaluate the concepts of Object-Oriented Programming using Python.

CO4 Demonstrate proficiency in handling Strings and File Systems.

CO5 Discover the capabilities of numpy ,scipy and matplotlib for scientific programming.

CO6 Implement exemplary applications related to Pandas andDataFrames in Python.

Mapping of Course Outcomes to Program Specific Outcomes: PSO

1 PSO

2 PSO

3 PSO

4

CO1 3 3 2 1

CO2 3 3 2 2

CO3 3 3 3 3

CO4 3 3 3 2

CO5 3 3 3 3

CO6 3 3 3 3


Sl

No .

Contents of Module

Hr s

COs

1

Introduction to Python - Installing in various Operating Systems - Executing Python Programs - Basic Programming concepts - Variables, expressions and statements -Input/Output –Operators.

12

CO1

2 Conditional Statements - Functions - Arguments - Return values - Iteration -

Loops - Strings -Data Structures: Lists - Dictionaries - Tuples – Sequences- Modules.

12 CO2

20

3

File Handling - Regular Expressions - Text handling - Object Oriented Programming- Classes - Objects - Inheritance - Overloading - Polymorphism Interacting with

Databases - Exception Handling -Introduction to MySQL -Interacting with

MySQL - Building a address book with add/edit/delete/search features.

12

CO3,CO

4

21

4

Scientific Programming using NumPy/SciPy and Matplotlib – Array operations, 2D numpy arrays, Numpy basic Statistics ,ScipyLinalg, scipy Optimize. Matplotlib –Introduction, Simple plots, Figures and Subplots.

12

CO5

5

Introduction to Pandas-Creation of Series- Operations-Creation of Dataframes- Operations-Import/Export of different types of Files-Slicing - Filtering- groupby- Aggregation-Simple plot using pandas-Real time Case Study.

12

CO6

Text Books:

1. Allen B. Downey O'Reilly ―Think Python: How to Think Lik ea Computer Scientist.

2. Python Programming: A Modern Approach, Vamsi Kurama, Pearson Education 3. Core Python Programming, R. Nageswara Rao, 2nd Edition, Dreamtech.

Reference Books:

1. Learning Python, Mark Lutz, Orielly 2. Core Python Programming, W.Chun, Pearson.

3. Introduction to Python, Kenneth A. Lambert, Cengage

4. Programming in Python, Pooja Sharma, BPB Publications, 2017. 5. Python in a Nutshell, A. Martelli, A. Ravenscroft, S. Holden, OREILLY.

E-References:



3. https://nptel.ac.in/noc/courses/noc20/SEM1/noc20-cs36/

4. https://www.tutorialspoint.com/python/ 5. https://www.udacity.com/course/introduction-to-python

https://nptel.ac.in/courses/106/106/106106182/


https://www.tutorialspoint.com/python/

https://www.udacity.com/course/introduction-to-python

22

SECOND SEMESTER

Course Title: CORE THEORY T6-MOBILE APPLICATION DEVELOPMENT (For Students admitted from 2020 onwards)

Course Code


L:T:P:S : 3:1:0:0 CIA Marks : 40


Course Objectives:

To introduce Android platform and its architecture.

To learn activity creation and Android UI designing.

To be familiarized with Intent, Broadcast receivers and Internet services.

To work with SQLite Database and content providers.


CO1 Define Android applications, download and install Android Studio, work in development

environment and to execute the First Android Application.

CO2 Illustrate the use of activities, fragments and intents in Android to invoke Built-in Applications and

use of notification in Android.

CO3 Design and implement the user interfaces using basic widgets, views, view groups and layouts

of Android.

CO4 Work with user interface to handle pictures and menus and explain data storage options using

the internal and external storage using Shared Preferences, files, SQLite database and Content Providers.

CO5 Illustrate the formation of SMS and E-mail in the mobile phones and demonstrate the Location

Based Services (LBS) and consumption of Web Services in Android using JSON and Sockets.

CO6 Developing Android Services by establishing communication between a service and an activity

and illustrating the steps for publishing Android applications.


PSO 1

PSO 2

PSO 3

PSO 4

CO1 2 3 3 2

CO2 3 2 2 3

CO3 3 3 2 2

CO4 3 3 2 3

CO5 3 3 3 2

CO6 3 3 2 2


23

Sl

No .

Contents of Module

Hr s

COs

1

Introduction to Android – Features of Android-Architecture of Android- Obtaining the Required Tools- Creating First Android Application - Anatomy of Android Application- Components of Android Application-Lifecycle of Activity. Intents: Creating Intents, Types of Intents, Intents returning result, Intent Filters, Calling Built–In Application Using Intents and Displaying Notifications using PendingIntent. Fragments: Lifecycle of Fragment, Types of Fragments and how to create and use fragments.

12

CO1,CO

2

2 Screen Layouts: Linear, Table, Relative, Absolute and Grid. Basic

Views: Toast, TextView, EditText, Button, AutoCompleteTextView,

CheckBox, ToggleButton,

12 CO3

24

ImageButton, RadioButton, SeekBar, ListView, ImageView, DatePicker

and TimePicker- Adapting to Display Orientation - Creating the views programmatically.

3

Menus: OptionsMenu, ContextMenu and PopupMenu. Data Persistence: Saving and Loading using Shared Preferences - Persisting Data to Files - SQLite Database: Create, Insert, Delete, Update and Select queries. Content Provider: Creating and using Content Provider.

12

CO4

4

Sending SMS - Sending E-Mail- Location – Based Services: Displaying Maps - Getting Location Data. Networking: Consuming Web Services Using HTTP -

Consuming JSON Services - Sockets Programming.

12

CO5

5

Developing Android Services: Lifecycle of Service, Types of service and

Creating own services. Threading: Worker thread and Async thread.

Publishing Android Applications: Preparing for Publishing - Deploying APK Files.

12

CO6

Text Book: 1. J.F. DiMarzio, ―Beginning Android Programming with Android Studio‖, 4

th Edition, Wiley Publications, 2017.

Reference Books:

1. Wei Meng Lee, “Beginning Android 4 Application Development”, Wiley Publications, 2013.

2. Anubhav Pradhan, Anil V Deshpande, „Mobile Applications Development‟, First Edition. 3. Barry Burd „Android Applications Development all in one for Dummies‖,First Edition.

4. ―Teach Your self Android Application Development in 24 hours‖ First Edition, SAMS.

5. Rick Boyer, “Android 9 Development Cookbook”, 3rd

Edition, Packt Publishing, 2018. 6. Reto Meier and Ian Lake, “Professional Android”, 4

th Edition, Wiley Publishers.

E-References:

1. http://developer.android.com/ 2. https://www.tutorialspoint.com/android/index.htm 3. https://abhiandroid.com/

http://developer.android.com/

http://www.tutorialspoint.com/android/index.htm

http://www.tutorialspoint.com/android/index.htm

25

SECOND SEMESTER

Course Title: CORE THEOERY T7-FUNDAMENTALS OF MACHINE LEARNING


Course Code


L:T:P:S : 4:0:0:0 CIA Marks : 40


Course Objectives:

To introduce students to the basic concepts and techniques of Machine Learning.

To have a thorough understanding of the Supervised and Unsupervised learning techniques

To study the various probability based learning techniques

To understand graphical models of machine learning algorithms


CO1 The learners shall understand the machine learning techniques like Clustering, Induction. Bayesian,

Decision Tree, Analytical and Instance based learning and to apply the techniques in computing.

CO2 The learners shall be able to compare the various machine learning techniques and design issues

in machine learning.

CO3 Introduce students to state-of-the-art methods and modern programming tools for data analysis.


PSO 1

PSO 2

PSO 3

PSO 4

CO1 3 3 2 2

CO2 3 3 3 3

CO3 2 3 3 3


Sl

No .

Contents of Module

Hr s

COs

1

INTRODUCTION: Designing a learning system - Perspectives and Issues in machine learning - Concept learning task - Concept learning as search - Version spaces -Candidate Elimination learning algorithm - Inductive Bias.

12

CO1

2

DECISION TREE LEARNING: Decision Tree representation - Appropriate Problems for Decision Tree Learning - Basic Decision tree learning algorithm - Hypothesis space search and Inductive Bias in Decision tree learning - Issues in Decision Tree Learning.ANN: Perceptrons - Back propagation Algorithms.

12

CO1

3

BAYESIAN LEARNING: Bayes Theorem and Concept learning - Maximum Likelihood and Least Squared error hypothesis - Maximum Likelihood hypotheses for predicting probabilities - Minimum description Length principle - Bayes optimal classifier – Gibbs algorithm - Naïve Bayes classifier - Bayesian Belief networks -EM algorithm.

12

CO1,CO

2

4

ANALYTICAL AND COMBINING ANALYTICAL AND INDUCTIVE

LEARNING: Analytical

learning - Explanation based learning - Inductive Analytical approaches to

learning - Using prior knowledge to initialize the hypothesis, to alter the search

objective and to augment search operators.

12

CO3

26

5

INSTANCE-BASED LEARNING AND REINFORCEMENT LEARNING: K -

nearest neighbor

learning -Locally weighted regression - Radial Basis functions - Case based

reasoning - Reinforcement learning: Learning task-Q Learning:Q function -

Algorithm for learning Q-convergence - Updating sequence - Temporal

difference learning.

12

CO3

27

Text Book:

1. Tom M Mitchell, "Machine Learning", McGraw Hill, 1st Edition, 2003.

Reference Books:

1. Ethem Alpaydin, "Introduction to Machine Learning", MIT Press, 2nd Edition, 2010.

2. Stephan Marsland, "Machine Learning - An Algorithmic Perspective", Chapman and Hall, 1st Edition, 2009.

3. Nils Nilsson, "Introduction to Machine Learning", MIT Press, 1997. 4. Jude Shavil, Thomas G Dietterich, "Readings in Machine Learning", Morgan Kaufmann Publishers, 1990.8.

Peter Harrington, ―Machine Learning in Action‖, DreamTech

E-References:


2. http://www.cs.cmu.edu/~tom/mlbook.html

http://www.cs.cmu.edu/~tom/mlbook.html

28

SECOND SEMESTER

Course Title: CORE THEORY T8-MOBILE COMMUNICATIONS (For Students admitted from 2020 onwards)

Course Code


L:T:P:S : 4:0:0:0 CIA Marks : 40


Course Objectives:

Understand the basic concepts of mobile computing

Understand Wireless LAN, Bluetooth and WiFi Technologies

Be familiar with the network protocol stack

Learn the basics of mobile telecommunication system

Be exposed to Ad-Hoc networks


CO1 Explain the basics of mobile telecommunication system

CO2 Illustrate the generations of telecommunication systems in wireless network

CO3 Understand the architecture of Wireless LAN technologies

CO4 Determine the functionality of network layer and Identify a routing protocol for a given Ad

hoc networks

CO5 Explain the functionality of Transport and Application layer


PSO1 PSO2 PSO3 PSO4

CO 1

3 3 3 3

CO 2

2 3 3 2

CO 3

2 2 2 3

CO 4

3 2 2 3

CO 5

2 3 2 2


Sl

No .

Contents of Module

Hr s

COs

1

Introduction: Introduction to Mobile Computing – Applications of Mobile Computing- Generations of Mobile Communication Technologies-MAC Protocols –SDMA-TDMA-FDMA-CDMA.

12

CO1

2

Mobile Telecommunication System: GSM – Architecture – Protocols – Connection Establishment – Frequency Allocation – Routing – Mobility Management – Security –GPRS- UMTS- Architecture.

12

CO2

3 Wireless Networks: Wireless LANs and PANs – IEEE 802.11 Standard –

Architecture –Services – Blue Tooth- Wi-Fi – WiMAX. 12 CO3

29

4

Mobile Network Layer: Mobile IP – DHCP – AdHoc– Proactive and Reactive

Routing Protocols – Multicast Routing- Vehicular Ad Hoc networks ( VANET) –

MANET Vs VANET – Security.

12

CO4

5 Mobile Transport and Application Layer: Mobile TCP– WAP – Architecture –

WDP – WTLS – WTP –WSP – WAE – WTA Architecture – WML.

12 CO5

30

Text Books:

1. Jochen Schiller, ―Mobile Communications‖, PHI, Second Edition, 2003.

2. Prasant Kumar Pattnaik, Rajib Mall,―Fundamentals of Mobile Computing‖, PHILearning Pvt.Ltd, New Delhi – 2012

Reference Books:

1. Dharma Prakash Agarval, Qing and An Zeng, "Introduction to Wireless and Mobile systems",Thomson Asia Pvt Ltd, 2005.

2. Uwe Hansmann, Lothar Merk, Martin S. Nicklons and Thomas Stober, ―Principles of Mobile Computing‖, Springer, 2003.

3. William.C.Y.Lee,―Mobile Cellular Telecommunications-Analog and Digital Systems‖, Second Edition,Tata Mc Graw Hill Edition ,2006.

4. C.K.Toh, ―AdHoc Mobile Wireless Networks‖, First Edition, Pearson Education, 2002.

E-References:

1. Android Developers : http://developer.android.com/index.html

2. Apple Developer : https://developer.apple.com/

3. Windows Phone Dev Center : http://developer.windowsphone.com

4. BlackBerry Developer : http://developer.blackberry.com

http://developer.android.com/index.html

http://developer.windowsphone.com/

http://developer.blackberry.com/

31

SECOND SEMESTER

Course Title: CORE THEORY ELECTIVE 1-PRINCIPLES OF DIGITAL IMAGE PROCESSING


Course Code

: XX29213(A) (XX-Year of admission) Credits : 04

L:T:P:S : 4:0:0:0 CIA Marks : 40


Course Objectives:

To provide the basic knowledge on image processing techniques like image acquisition, enhancement, transform, segmentation, object recognition in images and their applications.

To impart the mathematical logic behind the various image processing algorithms

To facilitate the students apprehend and implement various image processing algorithms.

To impart the performance of the algorithms with real time applications.

. Course Outcomes: At the end of the Course, the Student will be able to:

CO1 Understand and analyse the problems in the formation of various types of images

CO2 Analyze the need for image transforms, different types of image transforms and their properties

CO3 Analyze different techniques employed for the enhancement of images using filters

CO4 Implement different segmentation technique.

CO5 Analyzing and extracting suitable features for classification of objects.

CO6 Familiar with the use of Python and OpenCV for Image Analysis


PSO 1

PSO 2

PSO 3

PSO 4

CO1 3 3 2 1

CO2 3 3 3 2

CO3 3 3 3 2

CO4 3 3 3 3

CO5 3 3 3 3

CO6 3 3 3 3


Sl

No. Contents of

Module Hr s

COs

1

Introduction – Steps in Digital Image Processing, Components of an Image Processing System – Image sensing and acquisition, Image Sampling and Quantization: Basic Concepts, Representing Digital Images, Basic Relationships between pixels. – color models – basics of color image processing

12

CO1

2

Intensity Transformations and Spatial Filtering: Some basic gray level

transformation functions – Histogram Processing – Fundamentals of Spatial

Filtering – Smoothing Spatial Filters.

12

CO2

3

Filtering in the Frequency Domain – The Discrete Fourier Transform of One Variable, Extensions to Functions of Two Variables, The Basics of Filtering in the Frequency Domain, Image Smoothing Using Low-pass Frequency Domain, Image Sharpening Using High-pass Filters.

12

CO3

32

4

Image Segmentation: Fundamentals – Point, Line and Edge Detection- Thresholding , Segmentation by Region Growing and by Region Splitting and Merging. Feature Extraction: Boundary Pre-processing – Boundary Features Descriptors – Region Features Descriptors – Principal Components as Feature Descriptors.

12

CO4

33

5

Image Pattern Classification: Patterns and Pattern Classes, Pattern Classification by Prototype Matching: Minimum Distance Classifier, Correlation For 2-D Prototype Matching. Case Study: Performing image pre-processing using enhancement methods, Implementing Segmentation techniques and Classifying objects using Python, ML libraries and predefined models.

12

CO5,CO6

Text Book: 1. Rafael.C. Gonzalez, Richard.E.Woods, ―Digital Image processing‖, Fourth Edition, Pearson Education

Limited, 2018.

Reference Books:

1. A.K. Jain, ―Fundamentals of Digital Image Processing‖, PHI, 2011

2. Mark Nixon, Alberto Aguado, ―Feature Extraction and Image Processing‖, Second Edition, Elsevier, 2008. 3. S. Jayaraman, S. Esakkirajan, T. Veerakumar, ―Digital Image Processing‖, Mc-Graw Hill, 2012 . 4. Himanshu Singh, ―Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python‖, Apress, 2019

E-References:

1. http://www.nptel.iitm.ac.in/video.php?subjectId=117105079

2. https://docs.opencv.org/

3. https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html

4. https://scikit-image.org/ 5. https://github.com/Gogul09/image-classification-python

http://www.nptel.iitm.ac.in/video.php?subjectId=117105079

34

SECOND SEMESTER

Course Title: CORE THEORY ELECTIVE 1-INTRODUCTION TO MULTIMEDIA


Course Code

: XX29213(B) (XX-Year of admission) Credits : 04

L:T:P:S : 4:0:0:0 CIA Marks : 40


Course Objectives:

This course aims to introduce the fundamental elements of multimedia.

It will provide an understanding of the fundamental elements in multimedia.

The emphasis will be on learning the representations, perceptions and applications of multimedia.

Software skills and hands on work on digital media will also be emphasized.

On completion of the subject, the students will understand the technologies behind multimedia applications and master the skills for developing multimedia projects.


CO1 Describe the types of media and define multimedia system.

CO2 Describe the process of digitizing (quantization) of different analog signals (text, graphics,

sound and video).

CO3 Use and apply tools for image processing, video, sound and animation.

CO4 Apply methodology to develop a multimedia system.

CO5 Apply acquired knowledge in the field of multimedia in practice and independently continue

to expand knowledge


PSO 1

PSO 2

PSO 3

PSO 4

CO1 3 3 3 3

CO2 2 3 3 2

CO3 3 2 3 3

CO4 2 2 2 2

CO5 2 2 2 3


Sl

No .

Contents of Module

Hr s

COs

1

Introduction to Multimedia: What is multimedia, Components of multimedia, Web and Internet multimedia applications, Transition from conventional media to digital media. Computer Fonts and Hypertext. Usage of text in Multimedia, Families and faces of fonts, outline fonts, bitmap fonts International character sets and hypertext, Digital fonts techniques.

12

CO1

2

Audio Fundamentals and Representations :Digitization of sound, frequency and bandwidth, decibel system, data rate, audio file format, Sound synthesis, MIDI, wavetable, Compression and transmission of audio on Internet, Adding sound to your multimedia project, Audio software and hardware.

12

CO2

35

3

Image Fundamentals and Representations: Colour Science , Colour, Colour Models, Colour palettes, Dithering, 2D Graphics, Image Compression and File Formats :GIF, JPEG, JPEG 2000, PNG, TIFF, EXIF, PS, PDF, Basic Image Processing [ Can Use Photoshop ], Use of image editing software, White balance correction, Dynamic range correction, Gamma correction, Photo Retouching.

12

CO3

36

4

Video and Animation: Video Basics , How Video Works, Broadcast Video Standards, Analog video, Digital video, Video Recording and Tape formats, Shooting and Editing Video (Use Adobe Premier for editing), Video Compression and File Formats. Video compression based on motion compensation, MPEG-1, MPEG-2, MPEG-4, MPEG-7, MPEG-21, Animation: Cell Animation, Computer Animation, Morphing.

12

CO4

5 Multimedia Authoring: Multimedia Authoring Basics, Some Authoring Tools, Macromedia Director & Flash.

12 CO5

Text Books:

1. Tay Vaughan, ―Multimedia making it work‖, Tata McGraw-Hill, 2008. 2. Rajneesh Aggarwal & B. B Tiwari, ― Multimedia Systems‖, Excel Publication, New Delhi, 2007.

Reference Books:

1. Li & Drew, ― Fundamentals of Multimedia‖ , Pearson Education, 2009.

2. Fred Halsall ,‖Multimedia Communications: Applications, Networks, Protocols and Standards‖, Addison

Wesley, 2000

3. Parekh Ranjan, ―Principles of Multimedia‖, Tata McGraw-Hill, 2007 4. Anirban Mukhopadhyay and Arup Chattopadhyay, ―Introduction to Computer Graphics and Multimedia‖,

Second Edition, Vikas Publishing House.

E-References:

1. Anatomy of a Sound Board. PC Magazine Online Located at: http://www.zdnet.com/cshopper/features/9510/feature2/sub3.html

2. Berinato, S. (1997). Streaming video enters spotlight. PC Week Online. [On- line]. Available: http://www8.zdnet.com/pcweek/news/0728/28video.html

3. CyberTech Information Group. (1997). Streaming video. [On-line]. Available: http://www.web- ads.com/cbertech/vivofree.html

http://www.zdnet.com/cshopper/features/9510/feature2/sub3.html

http://www.zdnet.com/cshopper/features/9510/feature2/sub3.html

http://www8.zdnet.com/pcweek/news/0728/28video.html

37

SECOND SEMESTER

Course Title: CORE THEORY ELECTIVE 1-COMPUTER ANIMATION (For Students admitted from 2020 onwards)

Course Code

: XX29213(C) (XX-Year of admission) Credits : 04

L:T:P:S : 4:0:0:0 CIA Marks : 40

Exam Hours

: 03 ESE Marks : 60

Course Objectives:

Recognize, locate, and navigate through all aspects of the new user interface.

Create, manipulate, and edit text and graphics to obtain desired graphical outcomes.

Understand, create, and edit symbols, filters and instances in 3Dspaces.

Design, create, edit, and manipulate animation using several animation tools and techniques.

Utilize tweens and articulated motions with inverse kinematics to morph shapes.

Design, create, and edit a flash-based navigation menus and interactive movies.

Utilize and understand sound and sound formats in flash movies and components to create interactivity.


CO1 Provides an overview of the evolution of animation, and how animation came into existence.

CO2 The process of animation techniques developed with various equipments and how the process was performed.

CO3

The animation techniques such as cell animation, classic characters, cut out animation, stop motion effects, puppet stop motion, pixilation, optical printing, vector / key framed animation, sand animation, silhouette animation, pin-screen animation, Chinese shadow puppetry and rot scope techniques are illustrated which would be helpful for creating clear and good animation.

CO4

The information about how animation was developed in India, It also deals with the growth of Indian animation companies and studios, it discusses the emerging trends in Indian animation industry and outsourcing demands. It helps them to understand how great animators helped to improvise animation to Indian directors.



PSO 1

PSO 2

PSO 3

PSO 4

CO1 3 3 3 2

CO2 3 3 3 2

CO3 3 3 3 3

CO4 3 3 3 3

CO5 3 3 3 3


Sl

No .

Contents of Module

Hr s

COs

1

Creating Your First Flash Animation – how to create a new blank movie file in Flash MX – and the tools and steps involved in making your first simple animation using motion twining – basic shapes – Flash Animation 2 - Shape Twining – pick up at the

12

CO1

38

end of where we left off – Shape twining in Flash MX.

2

Flash Lesson 8 -Adding Simple Audio – add a looping audio background to our Flash character animation to complete it – Lip-Synching For Animation: Basic Phonemes – add actual expression and realistic mouth-movements to your animation – it helps

12

CO2

39

to study how the shape of the mouth changes with each sound – these ten basic phonemes shapes can match almost any sound of speech – in varying degrees of expression.

3

Flash Animation – Fireworks E-card – using Flash„s drawing tools to set a scene for an animation – creating the scene for a Fourth of July exploding fireworks E-card – a future lesson will demonstrate how to animate it – Flash Animation - Animating E- card – set the stage for our E-card – use a new kind of symbol called a MovieClip.

12

CO3

4

Flash Tip – Tools of the Trade – Drawing in Flash With a Graphics Tablet – frame-by- frame vector animation with this high-tech – but inexpensive – plug and play tool – Animation Tip – Tools of the Trade – Light Tables – 2D animation for cell painting – computer animation – a light table.

12

CO4

5

Animating the limbs – add speech bubbles – about adding actual audio tracks later – to learn about working with text in Flash – and to give our characters a ―voice‖ to communicate with the viewer – so to animate our facial features and give them expression and lip movements.

12

CO5

Text Books: 1. Adam Watkins, ―Maya A Professional Guide‖, Dreamtech,First edition– 2003.

2. Joey Lott and Robert Reinhardt, ―Flash 8 Action Script Bible‖,Wiley India (P)Ltd.2006.

Reference Books:

1. Tom Meade and Shinsaka Anima,‖The Complete Reference Maya6‖, TataMC.Graw–Hill Publishing Company Limited edition2004. 2. Robert Rein hardt and SnowDowd,‖Macromedia Flash 8 Bible‖, Wiley India Pvt Ltd.2006.

E-References:

1. https://www.tutorialspoint.com/computer_graphics/computer_animation.htm 2. https://www.geeksforgeeks.org/computer-animation

http://www.tutorialspoint.com/computer_graphics/computer_animation.htm

http://www.tutorialspoint.com/computer_graphics/computer_animation.htm

http://www.geeksforgeeks.org/computer-animation

http://www.geeksforgeeks.org/computer-animation

40

SECOND SEMESTER

Course Title: CORE PRACTICAL P3-PYTHON FOR DATA SCIENCE LAB (For Students admitted from 2020 onwards)

Course Code


L:T:P:S : 0:0:5:0 CIA Marks : 40


Course Objectives:

Master the fundamentals of writing Python scripts

Learn core Python scripting elements such as variables and flow control structures

Discover how to work with lists and sequence data

Write Python functions to facilitate code reuse

Use Python to read and write files

Make their code robust by handling errors and exceptions properly

Work with the Python standard library

Explore Python's object-oriented features

Lab Exercises:

1. Multilevel Inheritance

2. Exception Handling

3. File Operations

4. List Operations 5. String Operations

6. Python with SQLiteDB

7. Module in Python

8. Plotting two graphs using matplotlib and subplot

9. Plotting bar chart graph using matplotlib

10. Plotting pie chart graph using matplotlib

41

SECOND SEMESTER

Course Title: CORE PRACTICAL P4-MOBILE APPLICATION DEVELOPMENT LAB


Course Code

: XX29215 XX29213(A) (XX-Year of admission) Credits : 02

L:T:P:S : 0:0:5:0 CIA Marks : 40


Course Objectives:

Describe the platforms upon which the Android OS will run.

Create simple applications that runs under Android OS

Access and work with the Android file system

Define and access with databases under Android OS

Lab Exercises: 1. Activity Lifecycle 2. Fragments

3. Notifications

4. Screen Orientation

5. Implicit and Explicit Intents 6. Intents returning results

7. Working with Basic Widgets-Button, Textview, Edittext, Togglebutton, Radiobutton, Radiogroup, Autocompletetextview, Checkbox, Seekbar, Listview, Pickerviews.

8. Storing data permanently using Shared preferences, Files and SQLite

9. Sending SMS

10. Location Based Services

11. JSON Services 12. Socket Programming

13. Illustration of menus-Option menu, Context menu, Popup menu

14. Android Services

15. Android Threading

******End of Second Semester******

42

THIRD SEMESTER

Course Title: CORE THEORY T9-INTRODUCTION TO BIG DATA ANALYTICS


Course Code


L:T:P:S : 3:1:0:0 CIA Marks : 40


Course Objectives:

To explore the fundamental concepts of big data analytics

To learn to analyze the big data using intelligent techniques.

To understand the various search methods and visualization techniques.

To learn to use various techniques for mining data stream.

To understand the applications using MapReduce Concepts


CO 1

Knows the reason about the evolution of data science and its development. Study the basic

of big data analytics and to develop the code. Importance of various kinds of data comparing

the other language.

CO 2

Develop HDFS environment using NOSQL implementing the queries. Aggregate the data

using NOSQL.

CO 3

Concept of basic Hadoop, data format and analyzing the data in the HDFS environment.

Implementing the concept Hadoop pipes and implementations and java interfaces.

Significance of various methods of compression, serialization.

CO 4

Apply Mapreduce applications, unit test , MRUnit, Create file using MapReduce sorting and

shuffling process. Creating input and output format of Mapreduce.

CO 5

Usage of Hadoop related tools. Definition of hbase, Hbase clients, Cassandra, Pig, HiveQL.

Life Build data manipulation byHiveQL queries.

CO 6

Analyze Life Build data manipulation by HiveQL queries.


PSO1 PSO2 PSO3 PSO4

CO1 3 3 3 3

CO2 3 3 3 2

CO3 3 3 3 3

CO4 3 3 3 2

CO5 3 3 3 3

CO6 3 3 3 3


Sl

No .

Contents of Module

Hr s

COs

43

1

Understanding big data: What is Big Data – Why Big Data – Convergence of

key trends

– unstructured data – industry examples of Big Data – Web analytics – Big

Data and marketing – Fraud and Big Data – Risk and Big Data – Credit Risk

Management – Big Data and algorithmic trading – Big Data and healthcare – Big Data in Medicine.

12

CO1

2

NoSQL data management: Introduction to NoSQL – Aggregate Data

Models –

Aggregates – Key- Value And Document Data Models – Relationships – Graph

Databases – Schemaless Databases – Materialized Views – Distribution Models –

12

CO2

44

Sharding – Master-Slave Replication – Peer-Peer Replication - Sharding And Replication – Consistency – Relaxing Consistency – Version Stamps – MapReduce – Partitioning and Combining – Composing MapReduce Calculations.

3

Basics of Hadoop Data format – Analyzing data with Hadoop – Scaling out – Hadoop streaming- Hadoop pipes – Design of Hadoop distributed file system (HDFS) – HDFS concepts – Java interface - data flow – Hadoop I/O – Data Integrity – Compression – Serialization – Avro – File-Based Data Structures.

12

CO3

4

MapReduce applications MapReduce workflows – Unit tests with MRUnit – test data and local tests – anatomy of MapReduce job run – classic Map- reduce – YARN – failures in classic Map- reduce and YARN – job scheduling – shuffle and sort – task execution – MapReduce types – Input Formats – Output Formats.

12

CO4

5

Hadoop related tools Hbase – Data model and implementations – Hbase clients – Hbase examples – praxis. Cassandra – cassandra data model – cassandra examples – cassandra clients – Hadoop integration. Pig – Grunt – Pig data model – Pig Latin – developing and testing Pig Latin scripts. Hive – Data types and file formats – HiveQL data definition – HiveQL data manipulation –HiveQL queries.

12

CO5,CO 6

Text Books: 1. Michael Minelli, Michelle Chambers, and Ambiga Dhiraj, "Big Data, Big Analytics: Emerging

Business Intelligence and Analytic Trends for Today's Businesses", Wiley, 2013. 2. P. J. Sadalage and M. Fowler, "NoSQL Distilled: A Brief Guide to the Emerging Worl dof Polyglot

Persistence", Addison-Wesley Professional,2012.

3. Tom White, "Hadoop: The Definitive Guide", Third Edition, O'Reilley,2012.

4. Eric Sammer, "Hadoop Operations", O'Reilley, 2012.

5. AlanGates,"ProgrammigPig‖,O'Reilley,2011. Hadoop in Practice by Alex Holmes, MANNING Publ 6. E. Capriolo, D. Wampler, and J. Rutherglen, "Programming Hive", O'Reilley,2012.

Reference Books:

1. Lars George, "HBase: The Definitive Guide", O'Reilley,2011.

2. Eben Hewitt, "Cassandra: The Definitive Guide", O'Reilley,2010.

3. HadoopMapReduceCookbook‖,SrinathPerera,Thilina Gunarathne Software

E-References:

1. Hadoop:http://hadoop.apache.org/

2. Hive: https://cwiki.apache.org/confluence/display/Hive/Home Piglatin: 3. http://pig.apache.org/docs/r0.7.0/tutorial.html

http://hadoop.apache.org/


http://pig.apache.org/docs/r0.7.0/tutorial.html

45

THIRD SEMESTER

Course Title: CORE THEORY T10-DOT NET PROGRAMMING (For Students admitted from 2020 onwards)

Course Code


L:T:P:S : 3:1:0:0 CIA Marks : 40


Course Objectives:

To understand .NET Platform and its core functionalities.

To develop windows and web applications with Microsoft SQL and Visual Studio.

To understand and develop user defined Applications using MVCframework.

To strengthen Object Oriented Programming using advance VB.NETconcepts


CO1 Explore Microsoft .NET Integrated Development Environment (IDE)

CO2 Understand the basic concepts of VB.NET framework.

CO3 Developing programs using VB .NET.

CO4 Illustrate and implement the concepts of Class and objects, Inheritance, Overloading,

Exceptions and File Handling in VB.NET

CO5 Building ASP.NET Programming through Web Server Controls, Validation Controls and

DataList Web Server Controls.

CO6 Apply ADO.NET and OLEDB concepts for establishing connectivity among applications with

reduced code complexity and develop network applications


PSO 1

PSO 2

PSO 3

PSO 4

CO1 3 3 2 3

CO2 3 3 1 2

CO3 3 3 1 2

CO4 3 2 1 3

CO5 3 2 2 2

CO6 3 3 3 2


Sl

No. Contents of

Module Hr s

COs

1

Introducing Microsoft .NET:- Microsoft .NET platform: .NET Enterprise Servers, .NET framework and .NET Building block Services - .NET Namespaces. Common Type System(CTS), Common Language Specification(CLS) and CLR Execution (Class loader, verifier, JIT compilers).

12

CO1

2

VB.Net Basics: VB Dot Net Framework Basics - Visual Studio Environment – Data Types , Variables, constants ,Operators and Expressions – Decisions and Conditions - Loops - Sub Procedures and Functions – Built-in functions - Arrays - Structures- Enumerators – Delegates and Events.

12

CO2,CO

3

46

3

VB.Net Advanced: Windows Forms and Basic Controls - Timer control -

Graphics and Animation: The Graphics Environment – Simple Animation –

Scroll Bar Controls - Menus and Status Bars- Multi Form applications - Class

and Objects - Inheritance - Exception Handling.

12

CO3,CO

4

47

4

ASP.NET Basics: ASP.NET Language Structure - Page Structure - Page event, Properties & Compiler Directives. Basic Web Server Controls: TextBox, Label, Button, CheckBox, RadioButton and LinkButton. Validation Controls: RequiredValidator, CompareValidator and RegularExpressionValidator. DataListWebserver Controls: ListBox, CheckboxList, RadioButtonList, DropDownList and Data Grid control.

12

CO5

5

Working with Data: Benefits of ADO.NET, ADO.NET Architecture, Main classes in ADO.NET, Developing a Windows/Web application using database. OLEDB Connection class, Command class, Transaction class, DataAdaptor class, DataSet class. ASP.NET Advanced: MVC Pattern, Life Cycle, Controllers, Actions, Views, Data Model. Model Binding, using Databases. Request and Response Objects, Cookies.

12

CO6

Text Books:

1. Jeff Prosise, Programming Microsoft .NET - Microsoft Press, 1st Edition, 2009.

2. Visual Basic.Net Black Book by Steven HolznerDreamtech Press

3. The Complete Reference Visual Basic .NET Jeffery R. Shapiro Tata McGraw Hills

4. Thuan Thai, .NET Framework, O‟Reily publications, 3rd edition, 2009

Reference Books:

1. David S Platt, Introducing Microsoft .NET ,Microsoft press, 3rd Edition, 2003

2. Murach‟s Beginning Visual basic .Net By Anne Bohem

3. Freeman, Adam, Pro ASP.NET MVC, aprèss, 2013

4. Paul Yao, David Durant, Programming .NET Compact Framework 3.5, PearsonEducation, 2nd Edition, 2010.

E-References:

1. http://www.nptelvideos.com/visualbasic_net/visualbasicnet_video_tutorials.php

2. http://www.nptelvideos.com/video.php?id=1775&c=21

3. https://freevideolectures.com/course/3002/dot-net-tutorial/1

4. http://www.philadelphia.edu.jo/academics/qhamarsheh/uploads/Lecture_14_Introduction_to_ASP.pdf

5. http://sigc.edu/department/computerscience/studymet/AdvancedASP.NET.pdf

http://www.nptelvideos.com/visualbasic_net/visualbasicnet_video_tutorials.php

http://www.nptelvideos.com/video.php?id=1775&c=21

http://www.philadelphia.edu.jo/academics/qhamarsheh/uploads/Lecture_14_Introduction_to_ASP.pdf

http://sigc.edu/department/computerscience/studymet/AdvancedASP.NET.pdf

48

THIRD SEMESTER

Course Title: CORE THEORY T11-PRINCIPLES OF CLOUD COMPUTING (For Students admitted from 2020 onwards)

Course Code


L:T:P:S : 4:0:0:0 CIA Marks : 40


Course Objectives:

To introduce the broad perceptive of cloud architecture and model

To understand the concept of virtualization and design of cloud Services

To be familiar with the lead players in cloud.

To study the various security issues in cloud computing.


CO1 Analyze the core concepts of the cloud computing paradigm: Evolution, characteristics, advantages

and challenges brought about by the various models and services in cloud computing.

CO2 Develop the ability to understand and use the architecture of compute and storage cloud, service

and delivery models.

CO3 Apply fundamental concepts in cloud infrastructures to understand the tradeoffs in power, efficiency

and cost.

CO4 Analyse and develop multimedia cloud application.

CO5 Implementation of cloud platform using python


PSO 1

PSO 2

PSO 3

PSO 4

CO1 3 3 2 2

CO2 3 3 3 2

CO3 3 3 3 2

CO4 3 3 3 3

CO5 3 3 3 3


Sl

No .

Contents of Module

Hr s

COs

1

Introduction to Cloud Computing – Definition of Cloud – Characteristics of Cloud Computing – Cloud Models – Cloud Service Examples – Cloud Based Services and applications- Cloud Concepts and Technologies.

12

CO1

2

Cloud Services and Platforms: Compute Services – Storage Services – Database Services – Application Services – Content Delivery Services – Analytic Services – Deployment and Management Services – Identity and Access Management Services – Open Source Private Cloud Software. Developing for Cloud: Cloud Application Design

– Reference Architectures for Cloud Applications – Cloud Application Design

Methodologies – Data Storage Approaches.

12

CO2

49

3

Python for Cloud: Python for Amazon Web Services – Python for Google Cloud Platform – Python for Windows Azure – Python for MapReduce – Python Packages of Interest – Python Web Application Framework Django.

12

CO3

50

4

Cloud Application Benchmarking and Tuning: Introduction – Workload Characteristics – Application Performance Metrics – Design Consideration for Benchmarking Methodology – Benchmarking tools – Deployment Prototyping – Cloud Security.

12

CO4

5

Case Studies: Cloud for Manufacturing Industry – Cloud for Healthcare – Cloud for Education – Load Testing and Bottleneck Detection – Hadoop Benchmarking – Live Video Streaming App – Video Transcoding App.

12

CO5

Text Book:

1. Arshdeep Bahga and Vijay Madisetti,‖ Cloud Computing: A Hands on Approach‖, University Press,

Hyderabad,

2014.

Reference Books:

1. Barrie Sosinsky,‖ Cloud Computing Bible‖, Wiley Publishing Inc, 2013.

2. John W.Rittinghouse and James F.Ransome, ―Cloud Computing: Implementation, Management, and

Security‖,

CRC Press, 2010. 3. Kai Hwang, Geoffrey C Fox, Jack G Dongarra, ―Distributed and Cloud Computing, From Parallel Processing to the Internet of Things‖, Morgan Kaufmann Publishers, 2012

E-References:


2. https://www.tutorialspoint.com/cloud_computing/index.html

3. https://www.guru99.com/cloud-computing-for-beginners.html 4. https://www.youtube.com/watch?v=LICA-ILkO4w

http://www.tutorialspoint.com/cloud_computing/index.html

http://www.tutorialspoint.com/cloud_computing/index.html

http://www.guru99.com/cloud-computing-for-beginners.html

http://www.guru99.com/cloud-computing-for-beginners.html

http://www.youtube.com/watch?v=LICA-ILkO4w

http://www.youtube.com/watch?v=LICA-ILkO4w

51

THIRD SEMESTER

Course Title: CORE THEORY ELECTIVE 2-COMPUTER FORENSICS AND BIOINFORMATICS


Course Code

: XX29321 (A) (XX-Year of admission) Credit s

: 04

L:T:P:S : 4:0:0:0 CIA Marks : 40


Course Objectives:

To provide an understanding Computer forensics fundamentals

To analyze various computer forensics technologies

To provide computer forensics systems

To identify methods for data recovery.

To understand Genomic data acquisition and analysis, comparative and predictive analysis in Bioinformatics field.


CO1 Demonstrate competency in the collection, processing, analyses, and evaluation of evidence.

CO2 Demonstrate competency in the principles of crime scene investigation, including the recognition,

collection, identification, preservation, and documentation of physical evidence. Classify and

apply the acquisition tools

CO3 Identify the role of the forensic scientist and physical evidence within the criminal justice

system. Identify and examine current and emerging concepts and practices within the forensic

science field. CO4 To get introduced to the basic concepts of Bioinformatics and its significance in Biological data

analysis. CO5 Describe the history, scope and importance of Bioinformatics and role of internet in

Bioinformatics

CO6 Classify different types of Biological Databases. Introduction to the basics of sequence alignment

and analysis


PSO 1

PSO 2

PSO 3

PSO 4

CO1 3 3 2 3

CO2 3 3 3 3

CO3 3 3 1 3

CO4 3 2 3 3

CO5 3 2 2 3

CO6 2 1 3 3


Sl

No .

Contents of Module

Hr s

COs

1

Understanding of Computer Forensics: Computer Forensics vs other related disciplines – A brief history of Computer Forensics – Understanding Case law – Developing Computer Forensics resources-Preparing for Computer

12

CO1

52

Investigation.

2

Data Acquisition: Understanding Storage Formats for Digital Evidence – Determining the Best Acquisition Model – Contigency Planning for Image Acquisitions – Using Acquisition Tools – Validating Data Acquisition.

12

CO2

3

Processing Crime and Incident Scenes: Identifying Digital Evidence –

Collecting Evidence in Private Sector Incident Scenes – Seizing Digital

Evidence at the Scene – Storing Digital Evidence.

12

CO3

53

4 Introduction to Bioinformatics – Databases and Matrices – Biological Database – Database Searching –Scoring Matrices.

12 CO4,CO 5

5 Sequence Alignment – Pair wise sequence alignment – Multiple sequence

alignment. Probabilistic Modes - Markov chain - Hidden Markov Models.

12 CO6

Text Books: 1. Bill Nelson,Amelia Philips and Christoper Stewart,‖Guide to Computer Forensics and

Investigations‖,Censage learning,2010.

2. Ruchi Singh and Richa Sharma,BioInformatics, University Press, Hyderabad, 2010. 3. Richard Durbin, Sean Eddy, Anders Krogh, and Graeme Mitchison, ―Biological Sequence Analysis:

Probabilistic Models of Proteins and Nucleic Acids‖, Cambridge UniversityPress,2008.

Reference Books:

1. Jay G Heiser and Warren G Kruse, ―Computer Forensics: Incident Response Essentials‖, Addison Wesley,

NewDelhi,2010.

2. RobertMSlade,―SoftwareForensics:Collecting Evidence from the scene of a DigitalCrime‖, Tata Mc GrawHill,NewDelhi,2011.

3. Arthur M Lesk,‖Introduction to BioInformatics‖ Oxford Universitypress,2014.

4. Bishop M.J., Rawlings C.J. (Eds.), ―DNA and protein sequence analysis: A Practical Approach‖, IRL

Press,Oxford,2010

E-References:

1. https://www.bioinformatics.org/ 2. https://resources.infosecinstitute.com/category/computerforensics/introduction/

https://www.bioinformatics.org/

54

THIRD SEMESTER

Course Title: CORE THEORY ELECTIVE 2-NETWORK SECURITY (For Students admitted from 2020 onwards)

Course Code

: XX29321 (B) (XX-Year of admission) Credits : 04

L:T:P:S : 4:0:0:0 CIA Marks : 40


Course Objectives:

To know about various encryption techniques.

To understand the concept of Public key cryptography.

To study about message authentication and hash functions

To impart knowledge on Network security


CO1 Classify the symmetric encryption techniques

CO2 Illustrate various Public key cryptographic techniques

CO3 Evaluate the authentication and hash algorithms.

CO4 Discuss authentication applications

CO5 Summarize the intrusion detection and its solutions to overcome the attacks.

CO6 Basic concepts of system level security


PSO 1

PSO 2

PSO 3

PSO 4

CO1 3 3 2 1

CO2 3 3 3 2

CO3 3 2 2 1

CO4 3 3 3 3

CO5 3 3 2 3

CO6 3 3 3 3


Sl

No .

Contents of Module

Hr s

COs

1

Introduction: Security trends – Legal, Ethical and Professional Aspects of Security, Need for Security at Multiple levels, Security Policies – Model of network security – Security attacks, services and mechanisms – OSI security architecture – Classical encryption techniques: substitution techniques, transposition techniques, steganography- Foundations of modern cryptography: perfect security – information theory – product cryptosystem – cryptanalysis.

12

CO1

2

Symmetric key cryptography: Mathematics of symmetric key Cryptography: Algebraic structures – Modular arithmetic-Euclid‟s algorithm- Congruence and matrices – Groups, Rings, Fields- Finite fields- SYMMETRIC KEY CIPHERS: SDES – Block cipher Principles of DES – Strength of DES – Differential and linear cryptanalysis – Block cipher design principles – Block cipher mode of operation –Evaluation criteria for AES – Advanced Encryption Standard – RC4 – Key distribution.

12

CO2

55

3

Public key cryptography: Mathematics of asymmetric key Cryptography:

Primes –

Primality Testing – Factorization – Euler„s totient function, Fermat„s and

Euler„s Theorem – Chinese Remainder Theorem – Exponentiation and logarithm –

12

CO3

56

ASYMMETRIC KEY CIPHERS: RSA cryptosystem – Key distribution – Key management –

Diffie Hellman key exchange – ElGamal cryptosystem – Elliptic curve

arithmetic- Elliptic curve cryptography.

4

Message authentication and integrity: Authentication requirement – Authentication function – MAC – Hash function – Security of hash function and MAC – SHA – Digital signature and authentication protocols – DSS- Entity Authentication: Biometrics, Passwords, Challenge Response protocols- Authentication applications – Kerberos, X.509.

12

CO4

5

Security practice and system security: Electronic Mail security – PGP, S/MIME – IP security – Web Security – SYSTEM SECURITY: Intruders – Malicious software – viruses – Firewalls.

12

CO5,CO 6

Text Book:

1. William Stallings, ―Cryptography and Network Security: Principles and Practice ―, PHI 3rd Edition, 2006.

Reference Books:

1. CKShyamala, NHarini and Dr. T RPadmanabhan ‖ Cryptography and Network Security‖, Wiley IndiaPvt.Ltd

2. Behrouz A.Foruzan, ―Cryptography and Network Security‖, Tata McGraw Hill2007.

3. Charlie Kaufman, Radia Perlman, and Mike Speciner, ―Network Security: PRIVATE Communication in a PUBLIC World, Prentice Hall‖, ISBN0-13-046019-2

E-References:

1. https://www.tutorialspoint.com/information_security_cyber_law/network_security.htm

2. https://www.pdfdrive.com/network-security-books.html

http://www.tutorialspoint.com/information_security_cyber_law/network_security.htm

http://www.tutorialspoint.com/information_security_cyber_law/network_security.htm

http://www.pdfdrive.com/network-security-books.html

http://www.pdfdrive.com/network-security-books.html

57

THIRD SEMESTER

Course Title: CORE THEORY ELECTIVE 2-INFORMATION SECURITY (For Students admitted from 2020 onwards)

Course Code

: XX29321 (C) (XX-Year of admission) Credits : 04

L:T:P:S : 4:0:0:0 CIA Marks : 40


Course Objectives:

To understand and apply the models of information security

To study and analyze cryptographic and forensic methods

Analyze and simulate the network and application security

Explore the nature and logic behind security threats on the web as an ethical hacker


CO1 Analyze the broad perceptive and need of information security.

CO2 Explain the various encryption techniques and illustrate the master fundamentals of secret and

public cryptography.

CO3 Compute the Risk control strategies and Risk Management and compare with Hash

Algorithms, Signature and network security designs.

CO4 Describe the policies of Information Security and hence identify network security designs using available secure solutions.

CO5 Illustrate the Intrusion Detection and Prevention Systems and discover the layers of

application security

CO6 Identify different threats and suggest fixes in data and cyber security.


PSO 1

PSO 2

PSO 3

PSO 4

CO1 2 3 2 2

CO2 3 2 3 2

CO3 3 2 2 2

CO4 3 2 2 2

CO5 2 2 2 1

CO6 2 2 3 3


Sl

No .

Contents of Module

Hr s

COs

1

Information Security - Critical Characteristics of Information, NSTISSC Security Model, Components of an Information System, , Balancing Security and Access, Security SDLC.

12

CO1

2

Cryptography- Classical Cryptography, Symmetric Cryptography, Public Key (Asymmetric cryptography), Modern Cryptography. Forensics: DRM technology (including watermarking and fingerprinting), Steganography, Biometrics.

12

CO2,CO 3

3 Network Security- Network Protocols, Wireless Security (WiFi, WiMAX,

Bluetooth, cell phone), IDS and IPS, Network Intrusion Management. 12 CO4

58

4 Application Security- Software Security, Mobile Security, and Database Security.

12 CO5

5 Information Security Threats- Viruses, Worms and other malware, Email Threats,

12 CO6

59

Web Threats, Identity Theft, Data Security Breaches, Ethical Hacking -Hacking

Tools and Techniques.

Text Books:

1. W. Stallings, ―Cryptography and Network Security: Principles and Practice‖, 6th Edition, Prentice Hall,2013.

2. Michael E Whitman and Herbert J Mattord, ―Principles of Information Security‖, Vikas Publishing House, New Delhi, 2003

Reference Books:

1. NeilDaswani,ChristophKern,AnitaKesavan,―Foundations of Security:What Every Programme‖, APRESS,2007.

2. Michael E Whitman and Herbert J Mattord, "Principles of Information Security", Vikas Publishing House, 2003.

E-References:

1. http://williamstallings.com/Cybersecurity/ 2. freecomputerbooks.com › compscspecialSecurityBooks

http://williamstallings.com/Cybersecurity/

60

THIRD SEMESTER

Course Title: CORE THEORY ELECTIVE 3-INTRODUCTION TO INTERNET OF THINGS


Course Code

: XX29322(A) (XX-Year of admission) Credits : 04

L:T:P:S : 4:0:0:0 CIA Marks : 40


Course Objectives:

To understand the fundamentals of Internet of Things

To learn about the basics of IOT protocols

To build a small low cost embedded system using RaspberryPi.

To apply the concept of Internet of Things in the real world scenario


CO 1

Interpret the vision of IoT from a global context

CO 2

Describe the fundamentals of IoT and M2M

CO 3

Analyze applications of IoT in Raspberry PI

CO 4

Appreciate the role of big data, cloud computing and data analytics in a typical IoT system

CO 5

Determine the market perspective of IoT

CO 6

Illustrate the application of IoT in Industrial Automation and identify Real World

Design Constraints.


PSO 1

PSO 2

PSO 3

PSO 4

CO1 3 3 2 2

CO2 3 3 2 2

CO3 3 3 3 3

CO4 3 3 3 3

CO5 3 2 3 3

CO6 2 1 3 3


Sl

No .

Contents of Module

Hr s

COs

1 Introduction - Physical Design of IoT- Logical Design of IoT- IoT Enabling

Technologies - IoT Levels & Deployment Templates.

12 CO1

2

Iot and M2M - M2M – Difference between IoT and M2M-SDN and NFV for IoT - IoT

system management –Need for SNMP-Network operator requirements-

NETCONF - YANG - IoT System Management with NETCONF-YANG.

12

CO2

61

3

IoT Platforms Design Methodology: Ten steps in IoT design methodology- IoT Physical Devices & Endpoints: Basic building blocks of IoT devices – Exemplary device: Raspberry Pi – Linux on Raspberry Pi – Raspberry Pi Interfaces – Programming Raspberry Pi with Python.

12

CO3

4

IoT Physical Servers and Cloud Offerings :Introduction to Cloud storage models and Communication APIs – WAMPAutoBahn for IoT – Xively Cloud for IoT – Python Web Application Framework -DJANGO –– Amazon Web Services for IoT – Amazon EC2 – Amazon AutoScaling – Amazon S3 – AmazonRDS – Amazon DynamoDB – Data Analytics for IoT: Apache Hadoop –MapReduce Programming Model – Hadoop

12

CO4

62

MapReduce job Execution – MapReduce job for Execution Workflow.

5

Case Studiesand Real-World Applications: Realworld design constraints– Applications:Asset Management - Smart Grid - Commercial Building Automation - Smart Cities - Participatory Sensing.

12

CO5,CO6

Text Books: 1. ArshdeepBahga, Vijay Madisetti, ―Internet of Things: A Hands-on Approach‖ , First Edition, Universities

Press, 2015. 2. Jan Holler, VlasiosTsiatsis , Catherine Mulligan, Stamatis , Karnouskos, Stefan Avesand. David Boyle, "From Machine-to-Machine to the Internet of Things - Introduction to a New Age of Intelligence", Elsevier, 2014.

Reference Books:

1. Dieter Uckelmann, Mark Harrison, Michahelles, Florian (Eds), ―Architecting the Internet of Things‖,

Springer, 2011.

2. Honbo Zhou, ―The Internet of Things in the Cloud: A Middleware Perspective‖‖, CRC Press, 2012. 3. Olivier Hersent, David Boswarthick, Omar Elloumi ,‖The Internet of Things – Key applications and

Protocols‖, Wiley, 2012

4. AmmarRayes, SamereSalam,―Internet of Things – From Hype to Reality‖, First Edition, Springer Publishers,

2017. 5. Raj Kamal, ―Internet of Things Architecture and Design Principles‖, First Edition, Mc-Graw Hill Education, 2017.

6. AgusKurniawan, ―Smart Internet of Things Projects‖, First Edition, Packt Publishing Ltd., 2016.

E-References:


2. https://www.edureka.co/blog/iot-tutorial/ 3. https://www.javatpoint.com/iot-internet-of-things


https://www.edureka.co/blog/iot-tutorial/

https://www.javatpoint.com/iot-internet-of-things

63

THIRD SEMESTER

Course Title: CORE THEORY ELECTIVE 3-BLOCK CHAIN TECHNOLOGY (For Students admitted from 2020 onwards)

Course Code

: XX29322(B) (XX-Year of admission) Credits : 04

L:T:P:S : 4:0:0:0 CIA Marks : 40


Course Objectives:

Understand how blockchain systems (mainly Bitcoin and Ethereum) work.

To securely interact with them.

Design, build, and deploy smart contracts and distributed applications.

Integrate ideas from blockchain technology into their own projects.


CO 1

Understand emerging abstract models for Blockchain Technology.

CO 2

Identify major research challenges and technical gaps existing between theory and practice in

crypto currency domain.

CO 3

It provides conceptual understanding of the function of Blockchain as a method of securing

distributed ledgers, how consensus on their contents is achieved, and the new applications that they enable.

CO 4

Apply hyperledger Fabric and Etherum platform to implement the Block chain Application.


PSO 1

PSO 2

PSO 3

PSO 4

CO1 3 3 3 3

CO2 3 3 3 2

CO3 3 3 3 3

CO4 3 3 3 2


Sl

No. Contents of

Module Hr s

COs

1

Introduction to Blockchain: Blockchain-Centralized vs Decentralized systems-Layers of blockchain- Limitations of Centralized Systems - Blockchain adoption so far- Blockchain uses and Use cases-Byzantine Generals' Problem- The blockchain and Merkle Trees-Properties of Blockchain Solutions- Blockchain Transactions-Distributed Consensus Mechanisms-Blockchain applications.

12

CO1

2

Working of BitCoin: Bitcoin -Working with bitcoins-The Bitcoin Blockchain: Block

Strucure, The Genesis Block-The Bitcoin Network: Bitcoin Transactions, Consensus and Block Mining, Block Propagation-Full Nodes vs SPVs.

12

CO2

64

3

Working of Ethereum: Design Philosophy of Ehtereum-Etherreum Blockchain- Ethereum accounts-Trie Usage-Merkle Patricia Tree -Ethereum Transaction and Message Structure-Ethereum State Transaction Function-Gas and Transaction Cost- Ethereum smart contracts-Ethereum virtual machine and code execution- Ethereum Ecosystem:Swarm, Whisper, DApp, Development Components.

12

CO3

4

Hyperledger: Introduction to Hyperledger-Blockchain for business-

Advantages of Hyperledger fabric-Problems with existing blockchain

technology-Hyperledger fabric architecture-Consensus in Hyperledger- Hyperledger tools-Hyperledger components.

12

CO4

5 Blockchain-Outside of Currencies: Internet of Things: Physical Object

Layer, Device Layer, Network Layer, Management Layer and Application Layer- Government: Border

12 CO4

65

control, Voting, ID cards-Health-Finance: Insurance, Post trade settlement and

Financial Crime Prevention, Media.

Text Books:

1. B. Singhal & G. Dhameja,‖Beginning Blockchain: A Beginner's Guide to Building Blockchain Solutions‖, First

Edition, Apress 2018. (Units:I,II,III)

2. Nakul Shah , ―Blockchain for Business with Hyperledger Fabric: A complete guide to enterprise blockchain implementation using Hyperledger Fabric‖, BPB Publications, 2019 (Unit IV)

3. Bashir, Imran, ‖Mastering Blockchain: Deeper Insights Into Decentralization, Cryptography, Bitcoin, and Popular Blockchain Frameworks‖,2017. (Unit V)

Reference Books:

1. Arvind Narayanan, Joseph Bonneau, Edward Felten, Andrew Miller and Steven Goldfeder, ―Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction‖, Princeton University Press, 2016.

2. D. Mohanty, Blockchain - From Concept to Execution, (2e) BPB Publications, 2018.

3. Antonopoulos, ―Mastering Bitcoin: Unlocking Digital Cryptocurrencies‖.

4. Satoshi Nakamoto, ―Bitcoin: A Peer-to-Peer Electronic Cash System‖. 5. Joseph Bonneau et al, SoK: Research perspectives and challenges for Bitcoin and cryptocurrency,

IEEE Symposium on security and Privacy, 2015.

E-References:

1. https://www.tutorialspoint.com/blockchain/index.htm

2. https://www.javatpoint.com/blockchain-tutorial


4. https://onlinecourses.nptel.ac.in/noc20_cs01/preview

http://www.tutorialspoint.com/blockchain/index.htm

http://www.tutorialspoint.com/blockchain/index.htm

http://www.javatpoint.com/blockchain-tutorial

http://www.javatpoint.com/blockchain-tutorial

66

THIRD SEMESTER

Course Title: CORE THEORY ELECTIVE 3-GREEN COMPUTING (For Students admitted from 2020 onwards)

Course Code

: XX29322(C) (XX-Year of admission) Credits : 04

L:T:P:S : 4:0:0:0 CIA Marks : 40


Course Objectives:

To learn the fundamentals of Green Computing.

To analyze the Green computing Grid Framework.

To understand the issues related with Green compliance.

To study and develop various case studies.


CO 1

Discuss Green IT with its different dimensions and Strategies

CO 2

Describe Green devices and hardware along with its green software methodologies.

CO 3

Analyze the various green enterprise activities, functions and their role with IT.

CO 4

Describe the concepts of how to manage the green IT with necessary components.

CO 5

Discuss the various laws, standards and protocols, key sustainability for regulating green IT.


PSO 1

PSO 2

PSO 3

PSO 4

CO1 2 3 2 3

CO2 3 3 3 2

CO3 3 3 3 2

CO4 2 3 3 3

CO5 2 3 3 3


Sl

No. Contents of

Module Hr s

COs

1

Green IT-Overview: Introduction, Environmental Concerns and Sustainable Development, Environmental Impacts of IT, Green IT, Holistic Approach to Greening IT, Greening IT, Applying IT for enhancing Environmental sustainability, Green IT Standards and Eco-Labelling of IT, Enterprise Green IT strategy, Green IT: Burden or Opportunity?

12

CO1

2

Green Devices and Hardware with Green Software: Green Devices and Hardware: Introduction, Life Cycle of a device or hardware, Reuse, Recycle and Dispose. Green Software: Introduction, Energy-saving software techniques, Evaluating and Measuring software Impact to platform power.

12

CO2

67

3

Green Enterprises and the Role of IT: Introduction, Organization and Enterprise Greening, Information systems in Greening Enterprises, Greening Enterprise: IT Usage and Hardware, Inter-Organizational Enterprise activities and Green Issues, Enablers and making the case for IT and Green Enterprise.

12

CO3

4 Managing Green IT: Introduction, Strategizing Green Initiatives,

Implementation of Green IT, Information Assurance, Communication and Social

media.

12 CO4

5 Regulating the Green IT: Laws, Standards and Protocols Introduction, The regulatory environment and IT manufacturers, Non regulatory

12 CO5

68

government initiatives, Industry associations and standards bodies, Green building standards, Green data centers, Social movements and Greenpeace. Green IT: An Outlook: Introduction, Awareness to implementations, Greening by IT, Green IT: A megatrend?, A seven-step approach to creating green IT strategy, Research and Development directions.

Text Book:

1. Harnessing Green IT Principles and Practices , San Murugesan, G.R. Gangadharan Wiley Publication, ISBN:9788126539680

Reference Books: 1. Bhuvan Unhelkar, ―Green IT Strategies and Applications-Using Environmental Intelligence‖, CRC Press,

June 2014.

2. Woody Leonhard, Katherine Murray, ―Green Home computing for dummies‖, August 2012. 3. Alin Gales, Michael Schaefer, Mike Ebbers, ―Green Data Center: steps for the Journey‖, Shroff/IBM

rebook, 2011.

4. John Lamb, ―The Greening of IT‖, Pearson Education, 2009..

5. Jason Harris, ―Green Computing and Green IT- Best Practices on regulations and industry‖, Lulu.com, 2008 6. Carl Speshocky, ―Empowering Green Initiatives with IT‖, John Wiley and Sons, 2010. 7. Wu Chun Feng, ―Green computing: Large Scale energy efficiency‖, CRC Press

E-References:

1. http://digitalthinkerhelp.com/what-is-green-computing-advantages-disadvantages-examples/

2. https://www.tutorialspoint.com/environmental_studies/environmental_studies_towards_sustainable_fut ure.htm

http://digitalthinkerhelp.com/what-is-green-computing-advantages-disadvantages-examples/

http://www.tutorialspoint.com/environmental_studies/environmental_studies_towards_sustainable_fut

http://www.tutorialspoint.com/environmental_studies/environmental_studies_towards_sustainable_fut

69

THIRD SEMESTER

Course Title: CORE PRACTICAL P5- BIG DATA ANALYTICS LAB (For Students admitted from 2020 onwards)

Course Code


L:T:P:S : 0:0:5:0 CIA Marks : 40


Course Objectives:

Demonstrate the insight of an exciting growing field of Big Data analytics.

Derive the scripts of Hadoop, NoSql, MapReduce to develop the knowledge of data science

Derive the coding to manage and analyze big data like Hadoop, NoSql, MapReduce.

Practice big data analytics and machine learning approaches, which include the study of modern computing big data technologies.

Scaling up machine learning techniques focusing on industry applications.

Exhibit the fundamental techniques and principles in achieving big data analytics with scalability and streaming capability.

Validate the students to have skills that will help them to solve complex real-world problems in for decision support.

Lab Exercises: 1. Perform setting up and Installing Hadoop in its three operating modes:

i. Standalone, Pseudo distributed, fully distributed

ii. Use web based tools to monitor your Hadoop setup. 2. Implement the following file management tasks in Hadoop:

a. Adding files and directories

b. Retrieving files

c. Deleting files Hint: A typical Hadoop workflow creates data files (such as log files) elsewhere and copies them into HDFS using one of the above command line utilities.

3. Run a basic Word Count Map Reduce program to understand Map ReduceParadigm.

4. Write a Map Reduce program that mines weather data. Weather sensors collecting data every hour at many locations across the globe gather a large volume of log data, which is a good candidate for analysis with MapReduce, since it is semi structured and record- oriented.

5. Implement Matrix Multiplication with Hadoop MapReduce

6. Install and Run Pig then write Pig Latin scripts to sort, group, join, project, and filter your data. 7. Install and Run Hive then use Hive to create, alter, and drop databases,tables, views, functions, and indexes.

70

THIRD SEMESTER

Course Title: CORE PRACTICAL P6- DOT NET PROGRAMMING LAB (For Students admitted from 2020 onwards)

Course Code


L:T:P:S : 0:0:5:0 CIA Marks : 40


Course Objectives:

To develop windows and web applications in MVC .Net platform.

To strengthen Object Oriented Programming using advanced concepts in VB.NET.

Lab Exercies-VB.NET:

1. Simple Computations

2. Classes and methods

2. Constructors with parameters

3. Pass by values and pass by reference

4. Arrays

5. Structures

6. Enumerator

7. Method Overloading

8. Inheritance

9. Delegates and Events


Lab Exercises-ASP.NET:

1. Create a windows form with the following controls Textbox, Radio button, Check box, Command Button

2. Write a program for Menu option.

3. Create a program to perform validation using validation controls.

4. Windows Application with Database Connectivity using VB.NET and ADO.NET

5. Windows Application with Database Connectivity using VB.NET and OLEDB.

6. Web Application with Database Connectivity using ASP.NET and ADO.NET 7. Developing an application to implement request, response objects and cookies

******End of Third Semester******

71

FOURTH SEMESTER

Course Title: CORE PROJECT T13-PROJECT WORK (For Students admitted from 2020 onwards)

Course Code


L:T:P:S : 0:0:0:0 CIA Marks : 40


Course Objectives:

Students will be able to:

Implement the solution for the chosen problem using the concepts and the techniques learnt in the curriculum.

Develop software applications

Record the research results for a given problem

Identify, formulate and implement computing solutions.

Design and conduct experiments, analyze and interpret data.

Analyze a system, component or process as per needs and specification.

Work on multidisciplinary tasks and will be aware of the new and emerging disciplines.

Demonstrate skills to use modern tools, software and equipments to analyze problems.


CO 1

Demonstrate a sound technical knowledge, skills and attitude of their selected project topic.

CO 2

Understand problem identification, formulation and solution.

CO 3

Design solutions to complex problems utilizing a systems approach.

CO 4

Communicate with engineers and the community at large in written and oral forms.


PSO 1

PSO 2

PSO 3

PSO 4

CO1 3 3 2 3

CO2 3 3 3 2

CO3 3 3 3 2

CO4 2 3 3 3


Procedure:

The Head of the Department will assign an Internal Guide for each student.

As soon as the student gets project, the student should submit the contact details of the organization to their guide.

During regular intervals, student should report about his/her progress of the project work.

The final semester will be entirely assigned for the student to carry out their project work.

After the submission of the final report, an external examiner will evaluate the project document and conduct the viva voce examination.

72

Core-T9 DATABASE MANAGEMENT SYSTEMS OBJECTIVES:

To understand the fundamentals of data models and conceptualize and depict a database system

using ER diagram

To make a study of SQL and relational database design.

To know about data storage techniques an query processing.

To impart knowledge in NoSQL.

COURSE OUTCOMES:

CO1

Explain difference between File System and Database System, the basic concepts

of data models and its classification like ER model, relational model, network

model, and object oriented model.

CO2

Improve the ER-model to relational tables, analyze types of keys in relational

database system and hence populate relational database and formulate SQL

queries on data like DDL, DML, cursors and triggers.

CO3

Analyze the concepts about data storage on disks and Files, RAID management,

file organizations and application of Indexing to improve performance while

searching using Tree structured indexing and Hash Based indexing.

CO4

Demonstrate the Features of Good Relational Designs – Atomic Domains & First

Normal - Decomposition using Functional Dependencies - Decomposition using

Multivalued Dependencies and hence improve the database design by

Normalization.

CO5

Apply optimization and evaluation techniques on SQL queries to minimize its

response time. Explain the background for physical database design and the need

for database security.

CO6 Acquire the knowledge about the features for NoSQL and its types.

MAPPING OF COs WITH PSOs:

PSO1 PSO2 PSO3 PSO4

CO1 S M S S CO2 S S S S

CO3 S S M M CO4 S M M M CO5 S M L M

CO6 S S S M S-Strong M-Medium L-Low

UNIT I:Historical perspective - Files versus database systems - Architecture - E-R model - Integrity - Data models.

UNIT II:RELATIONAL MODEL- The relation - Keys - Constraints - Relational algebra and Calculus - Queries - Programming and triggers.

UNIT III:DATA STORAGE -Disks and Files - file organizations - Indexing - Tree structured Indexing - Hash Based Indexing.

73

UNIT IV: QUERY EVALUATION AND DATABASE DESIGN -External sorting - Query evaluation - Query optimization - Schema refinement and normalization - Physical database design and tuning – Security.

UNIT V:Introduction: NoSQL, Need for NoSQL, features of NoSQL database, NoSQL Database types. Case study – MongoDB.

TEXTBOOKS:

1. RaghuRamaKrishnanand JohannesGehrke,―DatabaseManagementSystems‖, 3rd, TMH, 2003 .

2. C. J. Date,‖An Introduction to Database Systems‖, 7thEdition, Addison Wesley,1997.

REFERENCES:

1. AbrahamSilberschatz,Henry.F.KorthandS.Sudharshan,‖Databasesystem Concepts‖, 3rdEdition,TMH,1997.

2. Mata– Toledo, ―Database Management Systems‖,Indian Edition, TMH, 2007.

E-R EFERENCES:

www.wikipedia.org/wiki/NoSqlwww.10gen.com/NoSqlwww.MongoDB.com


http://www.technolamp.co.in/2011/09/database-management-systems-dbms-imp.html www.cse.iitb.ac.in/dbms/Data/Courses/CS632/

http://www.wikipedia.org/wiki/NoSql

http://www.wikipedia.org/wiki/NoSql

http://www.10gen.com/NoSql

http://www.10gen.com/NoSql

http://www.mongodb.com/




http://www.cse.iitb.ac.in/dbms/Data/Courses/CS632/

74

Core –T10: PROGRAMMING IN PHP

OBJECTIVES:

Understand fundamentals of programming such as variables, conditional and iterative execution, methods, arrays and functions

Understand fundamentals of object-oriented programming in PHP, including defining classes, invoking methods, using class libraries

Comprehend Files, directories and validation in PHP

To learn the relationship between the client side and the server side scripts

Understanding the Database connections with MySQL, Cookies and Sessions in PHP

COURSE OUTCOMES:

CO1 Use a PHP editing program and develop web applications.

CO2 Develop functional PHP script.

CO3 Develop a MySQL database.

CO4 Understand the use of PHP with HTML.

CO5 Understand the ability to post and publish a PHP website.

CO6 Develop Database connectivity using MySQL. Acquire the knowledge about the

features for MySQL and its types.


PSO1 PSO2 PSO3 PSO4

CO1 S M S S CO2 S S S S CO3 S S M S

CO4 S M S M CO5 S S M S CO6 S S S M

S-Strong M-Medium L-Low UNIT I:Introduction -The Origin of PHP-PHP is better than Its alternatives-How PHP works with the Web Server-Hardware and Software requirements and installation-PHP Pros and Cons-PHP: past, present and future (PHP 3.0, PHP 4.0, and PHP 5)-Strength of PHP Basic PHP Development-How PHP scripts work- Basic PHP syntax-PHP variables-PHP data types-Displaying type information-Testing for a specific data type-Operators-Variable manipulation-Dynamic variables-String in PHP Control Structures-The if statement-Using the else clause with if statement, multiple if, nested if-The switch statement-Using the ? Operator- Summary

UNIT II: Arrays-Single-Dimensional Arrays-Multidimensional Arrays-Casting Arrays-Associative arrays- Accessing arrays-Getting the size of an array-Looping through an array-Looping through an associative array- Examining arrays-Joining arrays-Sorting arrays- Sorting an associative arrays Loops-The while statement-The do while statement-The for statement-Break & continue Nesting loops-For each loops Functions-Introduction of functions -PHP Library Function-Array functions-String functions-Date and time functions-Other important functions-User Defined Function-Defining a function with parameters and without parameters-Returning value from function-Dynamic function calls Accessing variable with the global statement-Function calls with the static statement-Setting default values for arguments-Passing arguments to a function by value-Passing arguments to a function by reference.

75

UNIT III: Working With the File System-Creating and deleting a file-Reading and writing text files Working with directories in PHP-Checking for existence of file-Determining file size-Opening a file for writing, reading, or appending-Writing Data to the file-Reading characters Working With Forms-Forms- Super global variables-The server array-A script to acquire user input-Importing user input-Accessing user input-Combine HTML and PHP code-Using hidden fields -Redirecting the user-File upload and scripts .Validation-Server side validation-Client side validation (Java script)-Working With Regular Expressions

UNIT IV: Classes And Objects-Introduction of Objects oriented programming Define a class-Creating an object-Object properties-Object methods-Object constructors and destructors Class constants, Access modifier, Class inheritance-Abstract classes and methods-Object serialization Checking for class and method existence-Exceptions-Summary Introduction To Database -Introduction to SQL-Connecting to the MYSQL-Database creation and selection-Database table creation, update table structure-insert, update, delete data to a table-Fetch data from table, Acquiring the value, Joins, sub query- Finding the number of rows-Executing multiple queries- Cookies-The anatomy of a cookie-Setting a cookie with PHP-Deleting a cookie-Creating session cookie-Working with the query string-Creating query string

UNIT V: Session-What is session-Starting a session-Working with session variables -Destroying session- Passing session Ids-Encoding and decoding session variables Disk Access, I/O, And Mail-File upload-File download-Environment variables-E-mail in PHP-Random numbers AJAX (Asynchronous JavaScript and XML)-Introduction to AJAX-Introduction to XML HttpRequest Object-Method and Properties of XMLHttpRequest-Application of AJAX in web application

TEXT BOOKS:

1. David Sklar,NathanTorkington,―Learning PHP‖,5th edition, O‗Reillypublishers,

2. W. Jason Gilmore,‖Beginning PHP and MySQL 5From Novice to Professional‖,Apress 3. KevinYank,‖BuildYourOwnDatabaseDrivenWebSiteUsingPHP&MySQL‖, Sitepoint.

REFERENCE BOOKS:

1. RasmusLerdorf,KevinTatroe,PeterMacIntyre,‖ProgrammingPHP‖,2006O‗Reillypublishers. 2. Luke Welling,Laura Thomson,‖PHP and MySQL Web Development‖, 3rd Edition, 2004,

Samspublishers.

E-REFERENCES:

1. https://www.w3schools.com/php/default.asp

2. https://www.tutorialspoint.com/php/

http://www.goodreads.com/author/show/79191.David_Sklar

http://www.goodreads.com/author/show/22737.W_Jason_Gilmore

http://www.goodreads.com/author/show/22744.Kevin_Yank

https://www.goodreads.com/author/show/79187.Rasmus_Lerdorf

https://www.goodreads.com/author/show/79189.Kevin_Tatroe

https://www.goodreads.com/author/show/79188.Peter_MacIntyre

https://www.goodreads.com/author/show/22734.Luke_Welling

https://www.goodreads.com/author/show/22733.Laura_Thomson

https://www.w3schools.com/php/default.asp

http://www.tutorialspoint.com/php/

Core : T-12 : PYTHON FOR SCIENTIFIC COMPUTING

OBJECTIVES:

To introduce Python programming language through its core language basics and program design techniques suitable for modern applications.

To understand the wide range of programming facilities available in Python covering graphics, GUI, data visualization and Databases.

To utilize high-performance programming constructs available in Python to develop solutions in real life scenarios.

COURSE OUTCOMES:

CO1 Examine Python syntax and semantics and be fluent in the use of Python input output functions.

CO2 Create, run and manipulate Python Programs using core data structures like Lists, Dictionaries and use Regular Expressions.

CO3 Interpret/Evaluate the concepts of Object-Oriented Programming using Python.

CO4 Demonstrate proficiency in handling Strings and File Systems.

CO5 Discover the capabilities of numpy, scipy and matplotlib for scientific programming.

CO6 Implement exemplary applications related to Pandas and DataFrames in Python.


PSO1 PSO2 PSO3 PSO4 CO1 S S M L CO2 S S M M

CO3 S S S S CO4 S S S M

CO5 S S S S CO6 S S S S

S-Strong M-Medium L-Low UNIT-I: Introduction to Python - Installing in various Operating Systems - Executing Python Programs - Basic Programming concepts - Variables, expressions and statements - Input/Output –Operators.

UNIT-II: Conditions - Functions - Arguments - Return values - Iteration - Loops - Strings -Data Structures

- Lists - Dictionaries - Tuples - Sequences – Exception Handling. UNIT-III: File Handling - Modules - Regular Expressions - Text handling - Object Oriented Programming

- Classes - Objects - Inheritance - Overloading - Polymorphism Interacting with Databases - Introduction to MySQL - interacting with MySQL - Building a address book with add/edit/delete/search features.

UNIT-IV: Scientific Programming using NumPy/SciPy and Matplotlib – Array operations, 2D numpy arrays, Numpy basic Statistics ,ScipyLinalg, scipy Optimize. Matplotlib – Introduction, Simple plots, Figures and Subplots.

UNIT-V: Working with pandas – Selections, Indexing and Filtering methods, Series operations, Data frames, reading files , grouping, Aggregate Functions and Visualization.

TEXTBOOKS:

1. AllenB. DowneyO'Reilly ―Think Python: How to Think Likea Computer Scientist‖.

REFERENCES:

1. JeffMcNeil ,―Python2.6 Text Processing: Beginners Guide ―, PacktPubPublications .

2. Michael Urban and Joel Murach, Python Programming, Shroff/Murach, 2016.

E-REFERENCES



https://www.edx.org/.../introduction-python

http://www.spoken-tutorial.org



https://www.edx.org/.../introduction-python

http://www.spoken-tutorial.org/

ELECTIVE – I: DIGITAL IMAGE PROCESSING OBJECTIVES:

To know about image fundamentals and mathematical transforms necessary for image processing.

To gather knowledge about image enhancement techniques

To know about image restoration procedures.

To learn the image compression procedures.

To study the image segmentation and representation techniques.

COURSE OUTCOMES:

CO1 Investigate the problems in the formation of various types of images

CO2 Analyse the need for image transforms, different types of image transforms and their properties

CO3 Analyze different techniques employed for the enhancement of images using filters

CO4 Implement different segmentation technique.

CO5 Analyze the need for image compression, various types of compression and its implementation.

CO6 Develop any image processing application


PSO1 PSO2 PSO3 PSO4 CO1 S S S L CO2 S S S M

CO3 S S S S CO4 S S S S CO5 S S S S

CO6 S S S M S-Strong M-Medium L-Low

UNIT I: Introduction – steps in image processing, Image acquisition, representation, sampling and quantization, relationship between pixels. – color models – basics of color image processing UNIT II: Image enhancement in spatial domain – some basic gray level transformations – histogram processing – enhancement using arithmetic , logic operations – basics of spatial filtering and smoothing UNIT III: Image enhancement in Frequency domain – Introduction to Fourier transform: 1- D, 2 –D DFT and its inverse transform, smoothing and sharpening filters. UNIT IV: Image restoration: Model of degradation and restoration process – noise models – restoration in the presence of noise- periodic noise reduction.. Image segmentation: Thresholding and region based segmentation. UNIT V:Image compression: Fundamentals – models – information theory – error free compression – Lossy compression: predictive and transform coding. JPEG standard

TEXT BOOK:

1. R.C. Gonzalez, R.E.Woods, ―Digital Image processing‖, Pearson Education, Second Edition, 2002.

REFERENCE BOOKS:

1. Anil K. Jain,‖Fundamentals of Digital image Processing‖, Prentice Hall of India, New

Delhi, SecondEdition,1994.

2. Pratt. W.K., ―Digital ImageProcessing‖, John Wiley&Sons, Third Edition, 1978.

3.RosenfledA.&Kak, A.C, ―Digital PictureProcessing‖,Vol.I& II, Academic, 1982.

E-REFERENCES:


http://en.wikipedia.org/wiki/Digital_image_processing

http://www.library.cornell.edu/preservation/tutorial/contents.html


http://en.wikipedia.org/wiki/Digital_image_processing

http://www.library.cornell.edu/preservation/tutorial/contents.html

ELECTIVE – I : DIGITAL SIGNAL PROCESSING

OBJECTIVES:

Students are able to Design FIR and IIR filters by hand to meet specific magnitude and phase requirements. (ABET Outcome a)

Students are able to Perform Z and inverse Z transforms using the definitions, Tables of Standard Transforms and Properties, and Partial Fraction Expansion. (ABET Outcome a)

Students are able to Determine if a DT system is linear, time-invariant, causal, and memoryless, determine asymptotic, marginal and BIBO stability of systems given in frequency domain.(ABET Outcome a)

Students are able to Design and implement digital filters by hand and by using Matlab.(ABET Outcomes b, c)

Students are able to Use computers and MATLAB to create, analyze and process signals, and to simulate and analyze systems sound and image synthesis and analysis, to plot and interpret magnitude and phase of LTI system frequency responses. (ABET Outcomes b, k)

COURSE OUTCOMES:

CO1 Use concepts of Difference equations, complex algebra, Fourier transform, z-transform to analyze the operations on signals and acquire knowledge about Systems

CO2 Select proper tools for analog-to-digital and digital-to-analog conversion. Also select proper tools for time domain and frequency domain implementation.

CO3 Design, implementation, analysis and comparison of digital filters for processing of discrete time signals

CO4 Integrate computer-based tools for applications CO5 Employ signal processing strategies at multidisciplinary team activities.

CO6 Assess the techniques, skills, and modern engineering tools necessary for analysis of different electrical signals and filtering out noise signals in engineering practice.


PSO1 PSO2 PSO3 PSO4 CO1 S S M L

CO2 S S S M

CO3 S S S M CO4 S M S S CO5 S M M S

CO6 S S S S S-Strong M-Medium L-Low

UNIT I: Introduction: Introduction to Digital Signal Processing: Discrete Tim signals & Sequences, Linear Shift Invariant Systems, Stability, and Causeli Linear Constant Coefficient Difference Equations, Frequency Domain Representation of Discrete Time Signals and Systems. Realisation of Digital Filters: Applications of Z —

Transforms, Solution Difference Equations of Digital Filters, System Function, Stability Criterion frequency Response of Stable Systems, Realisation of Digital Filters — Dire Canonical, Cascade and Parallel Forms.

UNIT II: Discrete Fourier series: DFS Representation of Periodic Sequence properties of Discrete Fourier Series, Discrete Fourier Transforms: Properties of DFT, Linear Convolution of Sequences using DFT, Computation of D Over-Lap Add Method, Over-Lap Save Method, Relation between DT‗s DFS, DFT and Z-Transform. Fast Fourier Transforms: Fast Fourier Transforms (FFT) – Radi Decimation-in-Time and Decimation-in-Frequency FFT Algorithms, Inve ITT, and FFT with GeneralRadix-N.

UNIT III: IIR Digital Filters: Analog filter approximations i – Butter worth and Chebyshev Design of IIR Digital Filters from Analog Filters, Step and Impulse Invariant Techniques, Bilinear Transformation Method, Spectral Transformations.

UNIT IV: FIR Digital Filters: Characteristics of FIR Digital Filters, Frequency Response, Design of FIR Filters: Fourier Method, Digital Filters using Windo+h Techniques, Frequency Sampling Technique, Comparison of IIR & FIR filters

UNIT V: Multi rate Digital Signal Processing: Introduction, Down Sampling Decimation, Up sampling, Interpolation, Sampling Rate Conversion. Finite Word Length Effects: Limit cycles, Overflow Oscillations, Round-oft Noise in IIR Digital Filters, Computational Output Round Off Noise, Method!, to Prevent Overflow, Trade Off Between Round Off and Overflow Noise Dead Band Effects.

TEXT BOOKS

1. John G. Proakis, Dimitris G. Manolakis, ―Digital Signal Processing, Principles, Algorithms, and

Applications‖, Pearson Education / PHI,2007.

2. A. V. Oppenheim and R.W Schaffer, PHI,―Fundamentals of Digital Signal Processing‖,2009.

REFERENCE BOOKS

1. Li Tan, Elsevier,‖Fundamentals and Applications Digital Signal Processing‖,2008.

2. Robert Schilling, SandraL. Harris, ―Fundamentals of Digital Signal Processing using MATLAB‖, Thomson, 2007

3. Digital Signal Processing — S.Salivahanan, A.Vallavaraj and C.Gnanapriya, TMH, 2009

4. Discrete Systems and Digital Signal Processing with MATLAB — TaanEIAIi. CRC press,2009.

5. Digital Signal Processing – A Practical approach, Emmanuel C Ifeachor and Barrie W. Jervis,

2nd Edition, Pearson Education,2009

6. Digital Signal Processing – NagoorKhani, TMG,2012

ELECTIVE - I : COMPUTER ANIMATION

OBJECTIVES:

Recognize, locate, and navigate through all aspects of the new user interface. Create, manipulate, and edit text and graphics to obtain desired graphical outcomes. Understand, create, and edit symbols, filters and instances in 3Dspaces. Design, create, edit, and manipulate animation using several animation tools and techniques. Utilize tweens and articulated motions with inverse kinematics to morph shapes. Design, create, and edit a flash-based navigation menus and interactive movies. Utilize and understand sound and sound formats in flash movies. Explain and utilize components to create interactivity.

COURSE OUTCOMES:

CO1 It begins with an introduction to film history; It also provides a discussion on experimental animation and abstract cinema.

CO2 Provides an overview of the evolution of animation, and how animation came into existence.

CO3 The process of animation techniques developed with various equipment and how the Process was performed.

CO4

The animation techniques such as cell animation, classic characters, cut out animation, stop motion effects, puppet stop motion, pixilation, optical printing, vector / key framed animation, sand animation, silhouette animation, pin-screen animation, Chinese shadow puppetry and roto scope techniques are illustrated which would be helpful for creating clear and good animation.

CO5

The information about how animation was developed in India, It also deals with the growth of Indian animation companies and studios, it discusses the emerging trends in Indian animation industry and outsourcing demands. It helps them to understand how great animators helped to improvise animation to Indian directors.



PSO1 PSO2 PSO3 PSO4 CO1 S S S M

CO2 S S S M CO3 S S S S

CO4 S S S S

CO5 S S S S CO6 S S S M

S-Strong M-Medium L-Low UNIT I:Creating Your First Flash Animation – how to create a new blank movie file in Flash MX – and the tools and steps involved in making your first simple animation using motion twining – basic shapes – Flash Animation 2 - Shape Twining – pick up at the end of where we left off – Shape twining in Flash MX. UNIT II: Flash Lesson 8 -Adding Simple Audio – add a looping audio background to our Flash character animation to complete it – Lip-Synching For Animation: Basic Phonemes – add actual expression and realistic mouth-movements to your animation – it helps to study how the shape of the mouth changes with each sound – these ten basic phonemes

shapes can match almost any sound of speech – in varying degrees of expression. UNIT III: Flash Animation – Fireworks E-card – using Flash‗s drawing tools to set a scene for an animation – creating the scene for a Fourth of July exploding fireworks E-card – a future lesson will demonstrate how to animate it – Flash Animation 4 - Animating E-card – set the stage for our E-card – use a new kind of symbol called a Movie Clip. UNIT IV: Flash Tip – Tools of the Trade – Drawing in Flash With a Graphics Tablet – frame-by-frame vector animation with this high-tech – but inexpensive – plug and play tool – Animation Tip – Tools of the Trade – Light Tables – 2D animation for cell painting – computer animation – a light table. UNIT V:Animating the limbs – add speech bubbles – about adding actual audio tracks later – to learn about working with text in Flash – and to give our characters a ―voice‖ to communicate with the viewer – so to animate our facial features and give them expression and lip movements.

TEXT BOOK:

1. Adam Watkins :―Maya A Professional Guide‖, Publishedby Dreamtech,first edition– 2003.

2. Joey Lott and Robert Reinhardt. : ―Flash 8 Action Script Bible‖,. Published by Wiley India (P)Ltd.2006.

REFERENCES:

1. TomMeadeandShinsakaAnima:―TheCompleteReferenceMaya6‖,PublishedbyTataMC.Graw–Hill

Publishing Company Limited edition2004.

2. Robert Rein hardtand SnowDowd : ―Macromedia Flash 8 Bible‖,Publishedby Wiley India Pvt

Ltd.2006.

CORE P5: PHP USING MYSQL LAB

COURSE OUTCOMES:

CO1 Implement Conditionals and Loops for PHP Programs

CO2

Use functions and represent Compound data using Lists, Tuples and

Dictionaries

CO3

Read and write data from & to files in PHP and develop Application using

SQLite DB

CO4 Creating the relationship between the client side and the server side scripts

CO5 PHP Programing to explore data visualization and Databases.

CO6 Apply PHP programs to read and write data from/to files.


PSO1 PSO2 PSO3 PSO4

CO1 S S M M

CO2 S S S M CO3 S S S M

CO4 S M S S CO5 S S S S CO6 S S S S

S-Strong M-Medium L-Low

1. PHP program to manipulate String function

2. PHP program using Array

3. Creating a form and performing Validation

4. Creating a File and performing necessary operations

5. Sending email using PHP mailer

6. Uploading a file in server

7. Creating a Cookie &Session

8. Database

CORE P6: PYTHON PROGRAMMINGLAB

COURSE OUTCOMES:

CO1 Implement Conditionals and Loops for Python Programs

CO2 Use functions and represent Compound data using Lists, Tuples and Dictionaries

CO3 Read and write data from & to files in Python and develop Application using SQLite DB

CO4 Scientific problem solving using scipy and matplotlib. CO5 Python Programing to explore data visualization and Databases.

CO6 Apply python programs to read and write data from/to files.


PSO1 PSO2 PSO3 PSO4

CO1 S S M L

CO2 S S S L CO3 S S S M CO4 S M S S


S-Strong M-Medium L-Low 1 .Multilevel Inheritance


3. File Operations

4. List Operations

5. String Operations

6. Python with

SQLiteDB 7 .Module in

python

8. Plotting two graphs using matplotlib and subplot 9

.Plotting bar chart graph using matplotlib

10. Plotting pie chart graph using matplotlib

Core – T13: DATA WAREHOUSING AND DATA MINING

OBJECTIVES:

To expose the students to the concepts of Data warehousing Architecture and Implementation

To Understand Data mining principles and techniques and Introduce DM as a cutting edge business intelligence

To learn to use association rule mining for handling large data

To understand the concept of classification for the retrieval purposes

To know the clustering techniques in details for better organization and retrieval of data

To identify Business applications and Trends of Data mining

COURSE OUTCOMES:

CO1 To appreciate the basic principles, concepts and applications of data warehousing and data mining

CO2 Have a good knowledge of the preprocessing techniques

CO3 To perform Data Mining using association rules

CO4 To get insights from data using classification and prediction techniques CO5 Knowledge of clustering techniques and outliers

CO6 To be able to apply data mining techniques to real world data by cleaning the data, integrating the data from different sources, predicting a model to group the data tuples into classes, discovering patterns using association rule mining and grouping the data set into clusters.


PSO1 PSO2 PSO3 PSO4

CO1 S S M M CO2 S S S M CO3 S S S M

CO4 S M S S


S-Strong M-Medium L-Low UNIT I: Data Warehouse- Multidimensional Data Model – Architecture of Data Warehouse – Implementations – Data cube computation and Data Generalization – Efficient Methods for Data Cube Computation - Attribute oriented induction – Alternative method for Data Generalization and concept description

UNIT II: Introduction to Data Mining – Kinds of Data – Architecture of data mining system- Data Mining Functionalities-Mining Frequent Patterns , Associations and Correlations – Classification and Prediction - Classification Of Data Mining Systems – Issues in Data Mining

UNIT III: Data Preprocessing-Data Cleaning – Data Integration and Transformation - Reduction – Discretization and Concept Hierarchies – Mining frequent patterns , Associations and correlations – Apriori Algorithm – Improving the Efficiency of Apriori – Mining various levels of Association Rules – Constraint Based Association Mining

UNIT IV: Classification And Prediction: Issues Regarding Classification And Prediction-Classification By Decision Tree Induction-Bayesian Classification- Rule Based Classification – Classification by Back Propagation – support Vector Machines – Lazy Learners – Other Classification Methods

UNIT V: Cluster Analysis – Types of Data in Cluster Analysis – Major Clustering Methods – Partitioning Methods – Hierarchical Methods – Density Based Methods – Grid Based Methods

TEXT BOOKS:

1. Jiawei Han, MichelineKamber, "Data Mining: Concepts and Techniques", 3rd Edition, Morgan Kaufmann Publishers is an imprint of Elsevier, 2011.

REFERENCES:

1. Alex Berson,Stephen J. Smith, "Data Warehousing, Data Mining,& OLAP", TMH,2004.

2. UsamaM.Fayyad, Gregory Piatetsky - Shapiro, Padhrai Smyth And RamasamyUthurusamy, "Advances In Knowledge Discovery And Data Mining", The M.I.T Press,1996.

3. Ralph Kimball, "The Data Warehouse Life Cycle Toolkit", John Wiley & Sons Inc,1998.

4. Sean Kelly, "Data Warehousing In Action", John Wiley & Sons Inc,1997.

E-R EFERENCES: http://nptel.iitm.ac.in/video.php?subjectId=10610609http://cecs.louisville.edu/datamining/PDF/04712285.pdf

http://nptel.iitm.ac.in/video.php?subjectId=106106093

http://nptel.iitm.ac.in/video.php?subjectId=106106093

http://cecs.louisville.edu/datamining/PDF/04712285.pdf

http://cecs.louisville.edu/datamining/PDF/04712285.pdf

T14: COMPUTER NETWORKS AND MOBILE COMPUTING OBJECTIVES:

1. Build an understanding of the fundamental concepts of computer networking. 2. Familiarize the student with the basic taxonomy and terminology of the computer networking area. 3. Introduce the student to advanced networking concepts, preparing the student for entry Advanced courses in computer networking.

4. Allow the student to gain expertise in some specific areas of networking such as the design and maintenance of individual networks

COURSE OUTCOMES:

CO1 Independently understand basic computer network technology

CO2 Determine and explain Data Communications System and its components. Identify the different types of network topologies and protocols.

CO3 Enumerate the layers of the OSI model and TCP/IP. Explain the function(s) of each layer.

CO4 Analyze and building the skills of subnet and routing mechanisms.

CO5 Description of mobile communication ,FDM,TDM,SDM and CDM.

CO6 Apply mobile Networking concepts for establishing connectivity among applications with reduced code complexity


PSO1 PSO2 PSO3 PSO4 CO1 S S M L CO2 S S S M

CO3 S S S M CO4 S M S L CO5 S M M S

CO6 S S L S S-Strong M-Medium L-Low

UNIT I: The OSI Reference Model – The Physical Layer - Guided Transmission Media – Wireless Transmission. The Data link Layer: Services provided to the network layer- Framing- Error control- Flow control- Error correcting codes– Error Detecting codes – A simplex stop and wait protocol for an error-free channel- Sliding window protocols- A one-bit sliding window protocol – A protocol using go-back-n – A protocol using selective repeat. UNIT II: The Network Layer: Store and forward Packet switching – Services provided to the transport layer – Implementation of connectionless and connection-oriented service – Comparison of virtual-circuit and datagram networks- Routing algorithms- Shortest path algorithm, Flooding, Distance vector routing, link state routing – Congestion control algorithm – Traffic aware routing – Admission control. UNIT III: The Transport Layer: Services provided to the upper layer – Transport service primitives – The elements of Transport protocols – Addressing – Connection establishment- Connection release – Error control and flow control – Multiplexing – Crash recovery – Introduction to UDP and TCP. The Application layer : DNS and E-Mail. UNIT IV: Introduction to Wireless transmission – Frequencies for radio transmission – Multiplexing – Modulations – Spread spectrum – MAC – SDMA – FDMA – TDMA – CDMA – Cellular Wireless Networks – GSM System architecture.

UNIT V: TCP over Wireless Networks – Indirect TCP – Snooping TCP – Mobile TCP – Fast Retransmit / Fast Recovery – Transmission/Timeout Freezing – Selective Retransmission – Transaction Oriented TCP – WAP – WAP Architecture – WML.

TEXT BOOKS:

1. AndrewS. TanenbaumandDavid J. Wetherall, ―Computer Networks‖5thEdition,PrenticeHall

(for UNITS I, II , III)

2. JochenSchiller, ―MobileCommunications‖, 2ndEdition, PrenticeHall ofIndia/ Pearson Education, 2003. (for UNITS IV andV)

REFERENCES : 1. MohammedIllyas,ImadMahgoub, ―MobileComputing Handbook‖,CRC Press,2004.

2. Larry L. Peterson, BruceS. Devie,―Computer Networks– A SystemApproach‖, 5thEdition, Elsevier Publication, 2011.

E-R EFERENCES: www.researchgate.net/...Mobile...communication_reference.../... www.cse.yorku.ca/course/4215/ www.ustudy.in/ Advanced Communication Systemshttps://en.wikipedia.org/wiki/Computer_networkwww.freebookcentre.net › Networking Books

http://www.researchgate.net/...Mobile...communication_reference.../

http://www.cse.yorku.ca/course/4215/

http://www.ustudy.in/

http://www.ustudy.in/

http://www.google.co.in/url?sa=t&rct=j&q&esrc=s&source=web&cd=11&cad=rja&ved=0CDAQ6QUoADAAOAo&url=http%3A%2F%2Fwww.ustudy.in%2Fece%2Fcs&ei=GVVyUZPyKYbMrQewpYHYAw&usg=AFQjCNHriYpp-vg_nNT3qwoLCTnZZY-Zfg

http://www.google.co.in/url?sa=t&rct=j&q&esrc=s&source=web&cd=11&cad=rja&ved=0CDAQ6QUoADAAOAo&url=http%3A%2F%2Fwww.ustudy.in%2Fece%2Fcs&ei=GVVyUZPyKYbMrQewpYHYAw&usg=AFQjCNHriYpp-vg_nNT3qwoLCTnZZY-Zfg

http://www.freebookcentre.net/

http://www.freebookcentre.net/

http://www.freebookcentre.net/Networking/networkCategory.html

Core –T16: ANDROID PROGRAMMING

OBJECTIVES:

To introduce Android platform and its architecture. To learn activity creation and Android UI designing. To be familiarized with Intent, Broadcast receivers and Internet services. To work with SQLite Database and content providers.

COURSE OUTCOMES:

CO1 Define Android applications, download and install Android Studio, work in

development environment and to execute the First Android Application.

CO2 Illustrate the use of activities, fragments and intents in Android to invoke Built-in

Applications and use of notification in Android.

CO3 Design and implement the user interfaces using basic widgets, views, view groups

and layouts of Android.

CO4

Work with user interface to handle pictures and menus and explain data storage

options using the internal and external storage using Shared Preferences, files,

SQLite database and Content Providers.

CO5

Illustrate the formation of SMS and E-mail in the mobile phones and demonstrate

the Location Based Services (LBS) and consumption of Web Services in Android

using JSON and Sockets.

CO6 Developing Android Services by establishing communication between a service

and an activity and illustrating the steps for publishing Android applications.


PSO1 PSO2 PSO3 PSO4 CO1 M S S M

CO2 M M L L CO3 S S M M CO4 S S M /S

CO5 S S S M CO6 S S L M

S-Strong M-Medium L-Low UNIT I: Introduction to Android - Obtaining the Required Tools- Creating Your First Android Application

- Anatomy of an Android Application. Activities, Fragments, and Intents: Understanding Activities - Linking Activities Using Intents – Fragments - Calling Built – In Application Using Intents- Displaying Notifications. UNIT II: Getting to know the android user interface: Understanding the Components of a Screen- Adapting to Display Orientation - Managing Changes to Screen Orientation - Utilizing the Action Bar - Creating the User Interface Programmatically - Listening for UI Notifications Designing your user interface with views : Using Basic Views- Using Picker Views -Using List Views to Display Long Lists- List View - Understanding Specialized Fragments

UNIT III: Displaying Pictures and Menus With Views: Using Image Views to Display Pictures - Using Menus with Views - Some Additional Views. Data Persistence: Saving and Loading User Preferences - Persisting Data to Files - Creating and Using Database .Content Provider: Sharing Data in Android - Using a Content Provider - Creating Your Own Content Providers - Using the Content Provider UNIT IV: Messaging :SMS Messaging - Sending E-Mail Location – Based Services :Displaying Maps - Getting Location Data - Monitoring a Location .Networking Consuming Web Services Using HTTP - Consuming JSON Services - Sockets Programming. UNIT V: Developing Android Services: Creating Your Own Services - Establishing Communication between a Service and an Activity - Binding Activities to Services - Understanding Threading - Publishing Android Applications: Preparing for Publishing - Deploying APK Files

TEXT BOOK:

1. Wei-MengLee,‖BeginningANDROID4ApplicationDevelopment‖,Wileypublications,2013.

REFERENCE BOOKS:

2. Wei-MengLee,‖BeginningANDROIDTabletApplicationDevelopment‖,Wileypublications,2013.

3. Wallace Jackson, ―Android Appsfor Absolute Beginners‖, A PRESS, 2nd edition

E-R EFERENCE:



OBJECTIVES: ELECTIVE – II: TOTAL QUALITY MANAGEMENT

Students should be able to explain the concepts of Total Quality Management and Total Quality Education.

Students should be able to diagnose problems in the quality improvement process. Students should be able to identify ethical and unethical behavior in Quality Management. Apply various quality improvement techniques. Describe and apply the development and nature of quality control charts.

COURSE OUTCOMES:

CO1 Examining the prominent philosophies of quality management, such as those of Deming and Juran, which provide a basis for today‘s quality and performance excellence.

CO2 Assessing the criteria for performance excellence used in the Malcolm Baldrige Award and related award programs

CO3 Explaining the basic frameworks for quality and performance such as ISO 9000, Total Quality Management (TQM) and Six Sigma.

CO4 Analyzing case studies that examine how to design and use performance management systems within varying organizational models.

CO5 To realize the importance of significance of quality and Identify requirements of quality improvement programs.

CO6 Describe and apply the development and nature of quality control charts. MAPPING OF COs WITH PSOs:

PSO1 PSO2 PSO3 PSO4

CO1 S S M L

CO2 S S S M CO3 S S S M CO4 S M S L

CO5 S M M S CO6 S S L S

S-Strong M-Medium L-Low UNIT I:Introduction-Need for quality, Definition of quality, Major contributions of Deming, Juran and Cross by to Quality Management, Quality control tools, Cost of Quality, Taguchi loss function. . UNIT II: Basic concepts of Total Quality Management - Evolution of TQM, TQM framework, Barriers to TQM, Principles of Total Quality Management- Quality statements, Customer focus, Customer orientation, . Customer satisfaction, Customer complaints, Customer retention, Total quality control, total waste elimination, total employee involvement. . UNIT III: Quality assurance- Total quality assurance, Management principles in quality assurance, objectives of quality assurance system, Hierarchical planning for Quality Assurance, Vendor rating, Quality improvement: elements, programs – KAIZEN, PDCA cycle,5S, Quality circles. UNIT IV: Quality planning- SWOT analysis, Strategic planning, strategic grid, organizational culture, Total Quality Culture, Quality function deployment- QFD concept, the voice of customer, developing a QFD matrix, QFD process.

UNIT V:Six sigma approach–Methodology, Training, application to various industrial situations, Failure mode & effect analysis- Concepts, Types & Applications in TQM. 7 20% VI TPM–Concepts, Improvement needs, Performance measures, BPR, Quality standards – Need of standardization, ISO 9000 series, ISO 14000 series, Other contemporary standards.

TEXT BOOKS:

1. Lon Roberts , ―Process Re-Engineering‖ ,Tata McGraw Hill, New Delhi, 1994 References: 2. SharmaDD, ―Total Quality Management ―,Sultan Chand &Sons, 2014 3. R.P. Mohanty & R RLakhi,―Total Quality Management‖, Jaico Pub, NewDelhi, 1994. 4. Poornima M.Charantimath ,―Total Quality Management‖, Pearson Education, 2011. 5. MohamedZairi ,―TQMfor Engineers‖, GulfPub. Co., 2nd Edition, NewDelhi. .

ELECTIVE – II: SOFTWARE PROJECT MANAGEMENT OBJECTIVES:

To know of how to do project planning for the software process.

To learn the cost estimation techniques during the analysis of the project.

To understand the quality concepts for ensuring the functionality of the software

COURSE OUTCOMES:

CO1 Identify the different project contexts and suggest an appropriate management strategy.

CO2 Practice the role of professional ethics in successful software development.

CO3 Perform project scheduling, activity network analysis and risk management

CO4 Determine an appropriate project management approach through an Evaluation of the business context and scope of the project.

CO5 Estimate project cost and perform cost-benefit evaluation among projects

CO6 Apply schedule and cost control techniques for project monitoring including contract management.


PSO1 PSO2 PSO3 PSO4 CO1 S S S M

CO2 S S S S CO3 S S S S CO4 S S S S


S-Strong M-Medium L-Low UNIT I :INTRODUCTION TO SOFTWARE PROJECT MANAGEMENT -Project Definition – Contract Management – Activities Covered By Software Project Management – Overview Of Project Planning – Stepwise Project Planning. UNIT II :PROJECT EVALUATION -Strategic Assessment – Technical Assessment – Cost Benefit Analysis – Cash Flow Forecasting – Cost Benefit Evaluation Techniques – Risk Evaluation.

UNIT III:ACTIVITY PLANNING - Objectives – Project Schedule – Sequencing And Scheduling Activities – Network Planning Models – Forward Pass – Backward Pass – Activity Float – Shortening Project Duration – Activity On Arrow Networks – Risk Management – Nature Of Risk – Types Of Risk – Managing Risk – Hazard Identification – Hazard Analysis – Risk Planning And Control.

UNIT IV :MONITORING AND CONTROL -Creating Framework – Collecting The Data – Visualizing Progress – Cost Monitoring – Earned Value – Prioritizing Monitoring – Getting Project Back To Target – Change Control – Managing Contracts – Introduction – Types Of Contract – Stages In Contract Placement – Typical Terms Of A Contract – Contract Management – Acceptance.

UNIT V :MANAGING PEOPLE AND ORGANIZING TEAMS - Introduction – Understanding Behavior – Organizational

Behaviour: A Background – Selecting The Right Person For The Job – Instruction In The Best Methods – Motivation – The Old man–Hackman Job Characteristics Model – Working In Groups – Becoming A Team – Decision Making – Leadership – Organizational Structures – Stress – Health And Safety – Case Studies.

TEXT BOOKS:

1.BobHughesand Mike Cotterell, ―Software Project Management‖, Tata McGraw Hill Edition, Fourth Edition,2004.

REFERENCES:

1. Ramesh, Gopalaswamy,―Managing Global Projects‖, Tata McGrawHill, 2001. 2. Royce,‖Software Project Theory‖, Pearson Education,1999. 3. P.Jalote,―SoftwareProject Management In Practice‖, Pearson Education, 2000.

E-R EFERENCES:

http://softwareprojectmanager.com/https://www.comp.glam.ac.uk/staff/dwfarthi/projman.htmhttp://faculty.ksu.edu.sa/elsemary/Documents/Lec1%20SPM.pdfhttp://www.csc.kth.se/utbildning/kth/kurser/DD1365/mvk11/

http://softwareprojectmanager.com/

http://softwareprojectmanager.com/

https://www.comp.glam.ac.uk/staff/dwfarthi/projman.htm

https://www.comp.glam.ac.uk/staff/dwfarthi/projman.htm

http://faculty.ksu.edu.sa/elsemary/Documents/Lec1%20SPM.pdf

http://faculty.ksu.edu.sa/elsemary/Documents/Lec1%20SPM.pdf

http://www.csc.kth.se/utbildning/kth/kurser/DD1365/mvk11/

ELECTIVE – II: SOFTWARE QUALITY ASSURANCE

OBJECTIVES:

To know the behavior of the testing techniques to detect the errors in the software

To understand standard principles to check the occurrence of defects and its removal.

To learn the functionality of automated testing tools

To understand the models of software reliability.

COURSE OUTCOMES:

CO1 Prepare a software quality plan for a software project - to include sections on change management, configuration management, defect elimination, validation and verification and measurement.

CO2 Apply the techniques learned to improve the quality of their own software Development

CO3 Understand the role of metrics in software quality assurance and be able to apply these metrics to document and measure quality of various phases of software development

CO4 Execute an effective inspection of a deliverable of a software development project and evaluate the results to make process improvements.

CO5 Apply and evaluate appropriate processes and tools to a software

development project for quality assurance

CO6 Understand the role of testing in quality assurance and to apply several appropriate testing techniques to software development projects.


PSO1 PSO2 PSO3 PSO4 CO1 S S S S

CO2 S S S M CO3 S S S S CO4 S S S M


S-Strong M-Medium L-Low UNIT I :Introduction to software quality – Software modeling – Scope of the software quality program – Establishing quality goals – Purpose, quality of goals – SQA planning software – Productivity and documentation.

UNIT II : Software quality assurance plan – Purpose and Scope, Software quality assurance management – Organization – Quality tasks – Responsibilities – Documentation.

UNIT III : Standards, Practices, Conventions and Metrics, Reviews and Audits – Management, Technical review – Software inspection process – Walk through process – Audit process – Test processes – ISO, cmm compatibility – Problem reporting and corrective action.

UNIT IV : Tools, Techniques and methodologies, Code control, Media control, Supplier control, Records collection,

Maintenance and retention, Training and risk management. UNIT V : ISO 9000 model, cmm model, Comparisons, ISO 9000 weaknesses, cmm weaknesses, SPICE – Software process improvement and capability determination.

TEXT BOOKS:

1. Mordechai Ben – Meachem and Garry S.Marliss, ―Software Quality – Producing Practical, Consistent Software‖, International Thompson Computer Press, 1997.

REFERENCES:

1. Watt. S. Humphrey, ―Managing Software Process‖, Addison– Wesley,1998. 2. Philip. B.Crosby, ―Quality isFree: TheArt of making quality certain‖, Mass Market, 1992

CORE P7: DATA MINING LAB

1. For the Contact lens dataset, use the J48 Classification method to classify and analyze the attributes using weka software. 2. Using J48 classification, test and classify the cpu data set with the attributes using weka software. 3. For the Diabetes dataset, use the J48 Classification method to classify and analyze the attributes using weka software. 4. For the Glass dataset, use the J48 Classification method to classify and analyze the attributes using weka software. 5. For the ionosphere dataset, use the J48 classification algorithm method to cluster and visualize the attributes using weka software. 6. For the iris dataset, use the J48 Classification algorithm and visualize the attributes using weka software. 7. For the Ionosphere dataset, use the K-means clustering algorithm method to cluster and visualize the attributes using weka software. 8. Create a user defined dataset , use the APRIORI Algorithm method to find the association among the attributes using weka Software.

COURSE OUTCOMES 1. To Understand Data mining principles ,techniques and Introduce DM as a cutting edge business intelligence 2. To expose the students to the concepts of Data warehousing Architecture ,OLAP and Implementation 3. To learn to use association rule mining for handling large data 4. To be clear with the concept of classification for the retrieval purposes 5. To study the clustering techniques in details for better organization and retrieval of data 6. To identify Business applications and Trends of Data mining

CORE P8: ANDROID PROGRAMMING LAB

OBJECTIVES:

Describe the platforms upon which the Android OS will run.

Create simple applications that runs under Android OS

Access and work with the Android file system

Define and access with databases under Android OS COURSE OUTCOMES:

CO1 Create the project in Android Studio and understanding the working of SDK tools

and AVD.

CO2 Develop programs using basic controls like EditText, Button, TextView,

ListView, SeekBar etc. and also implement event handling

CO3 Apply the technique of various menu creation in Android applications

CO4 Design an Android application with necessary controls and connect with SQLite

database for manipulating data.

CO5 Illustrate SMS, E-Mail and web applications in Android

CO6 Implement the concept of service in Android Application


PSO1 PSO2 PSO3 PSO4 CO1 S S M M

CO2 S S M M CO3 S S S M CO4 S S M M

CO5 S S M M CO6 S M M L

S-Strong M-Medium L-Low PROGRAMS:

1. Develop simple user interface to display message

2. Create two menu items-opening a file-saving a file

3. Text view controls to represent each row in a ListView

4. Implementation of background image

5. Starting another activity from your own activity using intent

6. Program to Audio Demo Audio Track , Audio Record

7. Program to Blocking Incoming call Android

8. Program to create simple login screen.

9. Mobile networking applications(SMS/Email)

10. Applications involving data retrieval

CORE T-17 – BIG DATA ANALYTICS

OBJECTIVES:

To explore the fundamental concepts of big data analytics To learn to analyze the big data using intelligenttechniques. To understand the various search methods and visualizationtechniques. To learn to use various techniques for mining datastream. To understand the applications using Map ReduceConcepts

COURSE OUTCOMES:

CO1 Knows the reason about the evolution of data science and its development. Study the basic of big data analytics and to develop the code. Importance of various kinds of data comparing the other language.

CO2 Develop HDFS environment using NOSQL Implementing the queries. Aggregate the data using NOSQL

CO3 Concept of basic Hadoop, data format and analysing the data in the HDFS environment. Implementing the concept Hadoop pipes and implementations and java interfaces Significance of various methods of compression, serialization

CO4 Apply Mapreduce applications, unit test , MRUnit, Create file using Mapreduce sorting and shuffling process. Creating input and output format of Mapreduce.

CO5 Usage Hadoop related tools. Definition of hbase,Hbase clients, Cassandra, Pig, HiveQL

Life Build data manipulation byHiveQL queries.

CO6 Analyze Life Build data manipulation byHiveQL queries.


PSO1

PSO2

PSO3

PSO4

CO1

S S S S

CO2

S S S M

CO3

S S S S

CO4

S S S M

CO5

S S S S

CO6

S S S S


UNIT I: Understanding big data What is big data – why big data – convergence of key trends

– unstructured data – industry examples of big data – web analytics – big data and marketing

– fraud and big data – risk and big data – credit risk management – big data and algorithmic

trading – big data and healthcare – big data in medicine–

UNIT II: Nosql data management Introduction to NoSQL – aggregate data models –

aggregates – key- value and document data models – relationships – graph databases –

schemaless databases – materialized views – distribution models – sharding – master-slave

replication – peer-peer replication - sharding and replication – consistency – relaxing

consistency – version stamps – mapreduce – partitioning and combining – composing map-

reduce calculations

UNIT III : Basics of Hadoop Data format – analyzing data with Hadoop – scaling out – Hadoop streaming- Hadoop pipes – Design of Hadoop distributed file system (HDFS) – HDFS concepts – Java interface - data flow – Hadoop I/O – data integrity – compression – serialization – Avro – file-based data structures

UNIT IV: MapReduce applications MapReduce workflows – unit tests with MRUnit – test

data and local tests – anatomy of MapReduce job run – classic Map-reduce – YARN –

failures in classic Map- reduce and YARN – job scheduling – shuffle and sort – task

execution – MapReduce types – input formats – output formats

UNIT V: Hadoop related tools Hbase – data model and implementations – Hbase clients –

Hbase examples – praxis.Cassandra – cassandra data model – cassandra examples –

cassandra clients – Hadoop integration. Pig – Grunt – pig data model – Pig Latin – developing

and testing Pig Latin scripts. Hive – data types and file formats – HiveQL data definition –

HiveQL data manipulation –HiveQL queries.

TEXT BOOKS:

1. Michael Minelli, Michelle Chambers, and AmbigaDhiraj, "Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses", Wiley, 2013.

2. P. J. Sadalage and M. Fowler, "NoSQL Distilled: A Brief Guide to the Emerging Worldof Polyglot Persistence", Addison-Wesley Professional,2012.

3. Tom White, "Hadoop: The Definitive Guide", Third Edition, O'Reilley,2012. 4. Eric Sammer, "Hadoop Operations", O'Reilley, 2012.

5. AlanGates,"ProgrammigPig‖,O'Reilley,2011. Hadoop in Practice by Alex Holmes, MANNINGPubl

6. E. Capriolo, D. Wampler, and J. Rutherglen, "Programming Hive", O'Reilley,2012.

REFERENCES:

1. Lars George, "HBase: The Definitive Guide", O'Reilley,2011. 2. Eben Hewitt, "Cassandra: The Definitive Guide", O'Reilley,2010. 3. ―HadoopMapReduceCookbook‖,SrinathPerera,ThilinaGunarathneSoftware

E-REFERENCES:

Hadoop:http://hadoop.apache.org/

Hive:https://cwiki.apache.org/confluence/display/Hive/Home

Piglatin: http://pig.apache.org/docs/r0.7.0/tutorial.html


http://pig.apache.org/docs/r0.7.0/tutorial.html

Core – T 18: ARTIFICIAL NEURAL NETWORKS

OBJECTIVES:

To introduce some of the fundamental techniques and principles of neural computation. To investigate some common models and their applications.

COURSE OUTCOMES:

CO1 Model Neuron and Neural Network, and to analyze ANN learning, and its applications..

CO2 Develop different single layer/multiple layer Perception learning algorithms

CO3 Paraphrase supervised and unsupervised learning methods

CO4 Design of another class of layered networks using mathematical learning principles

CO5 Perform Pattern Recognition, Linear classification

CO6 Apply Networking concepts for establishing connectivity among applications with reduced code complexity


PSO1 PSO2 PSO3 PSO4 CO1 S S M S CO2 S S M M

CO3 S S M M CO4 S M M L

CO5 S M M M CO6 S S S M


UNIT I: Introduction to Neural Networks – Basic Concepts of Neural Networks– Inference

and Learning – Classification Models – Association Models –Optimization Models – Self-

Organization Models.

UNIT II: Supervised and Unsupervised Learning – Statistical Learning – AI Learning – Neural

Network Learning – Rule Based Neural Networks – Network Training – Network Revision-

Issues Theory of Revision- Decision Tree Based-NN – Constraint Based NN

UNIT III: Incremental learning – Mathematical Modeling – Application of NN

Knowledge based Approaches.

UNIT IV: Heuristics- Hierarchical Models – Hybrid Models – Parallel Models –

Differentiation Models- Control Networks – Symbolic Methods- NN Methods.

UNIT V: Structures and Sequences – Spatio-temporal NN – Learning Procedures-

Knowledge based Approaches.

TEXT BOOK

1.L.Fu, ―Neural Networks in Computer Intelligence‖, Tata McGraw Hill, NewDelhi.1994

REFERENCE BOOKS

1. R. J.Schalkoff, ―Artificial Neural Networks‖, Tata McGraw Hill, NewDelhi.1997

2. Anderson, ―An Introduction to Neural Network‖, PHI, NewDelhi.,2001

E-REFERENCE:


http://www.nptel.iitm.ac.in/syllabus/111106049

http://www.iitg.ac.in/rkbc/CE602/GA.pdf


http://www.nptel.iitm.ac.in/syllabus/111106049

http://www.iitg.ac.in/rkbc/CE602/GA.pdf

CORE – T 19: CLOUD COMPUTING

OBJECTIVES:

To introduce the broad perceptive of cloud architecture and model To understand the concept of Virtualization and design of cloud Services To be familiar with the lead players in cloud. To understand the features of cloud simulator To apply different cloud programming model as per need. To learn to design the trusted cloud Computing system

COURSE OUTCOMES:

CO1

Analyse the core concepts of the cloud computing paradigm: how and why this paradigm shift came, the characteristics, advantages and challenges brought about by the various models and services in cloud computing.

CO2

Apply fundamental concepts in cloud infrastructures to understand the trade offs in power, efficiency and cost.

CO3

Illustrate the fundamental concepts of cloud storage and demonstrate their use in storage systems such as Amazon S3 and window Azure.

CO4

Discuss system, network and storage virtualization and outline their role in enabling the cloud computing system model.

CO5

Analyze various cloud programming models and apply them to solve

Problems on the cloud.

CO6

Implementation of cloud using python


PSO1

PSO2

PSO3

PSO4

CO1

S S S M

CO2

S S S M

CO3

S S S S

CO4

S S S S

CO5

S S S S

CO6

S S S M


UNIT I:

Introduction to Cloud Computing – Definition of Cloud – Characteristics of Cloud Computing – Cloud Models – Cloud Service Examples – Cloud Based Services and applications- Cloud Concepts and Technologies.

UNIT II:

Cloud Services and Platforms: Compute Services – Storage Services – Database Services – Application Services – Content Delivery Services – Analytic Services – Deployment and Management Services – Identity and Access Management Services – Open Source Private Cloud Software. Developing for Cloud: Cloud Application Design – Reference Architectures for Cloud Applications – Cloud Application Design Methodologies – Data Storage Approaches.

UNIT II:

Python for Cloud: Python for Amazon Web Services – Python for Google Cloud Platform – Python for Windows Azure – Python for Map Reduce – Python Packages of Interest – Python Web Application Framework Django.

UNITIV:

Cloud Application Benchmarking and Tuning: Introduction – Workload Characteristics – Application Performance Metrics – Design Consideration for Benchmarking Methodology – Benchmarking tools – Deployment Prototyping – Cloud Security.

UNIT V:

Case Studies: Cloud for Manufacturing Industry – Cloud for Healthcare – Cloud for Education – Load Testing and Bottleneck Detection – Hadoop Benchmarking – Live Video Streaming App – Video Transcoding App.

TEXT BOOK:

ArshdeepBahgaandVijayMadisetti,‖CloudComputing:AHandsonApproach‖,University Press, Hyderabad,2014.

REFERENCES

1. George Reese, ―Cloud Application Architectures: Building Applications and Infrastructure in the Cloud‖ O'Reilly

2. GautamShroff, Enterprise Cloud Computing, Cambridge University Press,2011

3. James E. Smith, Ravi Nair, ―Virtual Machines: Versatile Platforms for Systems and Processes‖, Elsevier/Morgan Kaufmann, 2005

4. John W.Rittinghouse and James F.Ransome, ―Cloud Computing: Implementation, Management, and Security‖, CRC Press, 2010

5. KaiHwang,GeoffreyCFox,JackGDongarra,―DistributedandCloudComputing, From Parallel Processing to the Internet of Things‖, Morgan Kaufmann Publishers,2012

ELECTIVE – III: INFORMATION SECURITY

OBJECTIVES:

To understand and apply the models of information security

To study and analyze cryptographic and forensic methods

Analyze and simulate the network and application security

Explore the nature and logic behind security threats on the web as an ethical hacker

COURSE OUTCOMES:

CO1 Analyze the broad perceptive and need of information security.

CO2 Explain the various encryption techniques and illustrate the master fundamentals

of secret and public cryptography.

CO3 Compute the Risk control strategies and Risk Management and compare with

Hash Algorithms, Signature and network security designs.

CO4 Describe the policies of Information Security and hence identify network security

designs using available secure solutions.

CO5 Illustrate the Intrusion Detection and Prevention Systems and discover the layers

of application security

CO6 Identify different threats and suggest fixes in data and cyber security.


PSO1 PSO2 PSO3 PSO4 CO1 M S M M CO2 S M S M

CO3 S M M M CO4 S M M M CO5 M M M L

CO6 M M S S S-Strong M-Medium L-Low

UNIT I: Information Security - Critical Characteristics of Information, NSTISSC Security Model, Components of an Information System, , Balancing Security and Access, Security SDLC.

UNIT II: Cryptography- Classical Cryptography, Symmetric Cryptography, Public Key (Asymmetric cryptography), Modern Cryptography. Forensics: DRM technology (including watermarking and fingerprinting), Steganography, Biometrics.

UNIT III: Network Security- Network Protocols, Wireless Security (WiFi, WiMAX, Bluetooth, cell phone), IDS and IPS, Network Intrusion Management.

UNIT IV: Application Security- Software Security, Mobile Security, and Database Security.

UNIT V: Information Security Threats- Viruses, Worms and other malware, Email Threats,

Web Threats, Identity Theft, Data Security Breaches, Ethical Hacking -Hacking Tools and

Techniques.

TEXT BOOKS:

1. W. Stallings, ―Cryptography and Network Security: Principles and Practice‖, 6th Edition, Prentice Hall,2013.

2. Michael E Whitman and Herbert J Mattord, ―Principles of Information Security‖, Vikas Publishing House, New Delhi, 2003

REFERENCE BOOKS:

1. NeilDaswani, ChristophKern, AnitaKesavan,―Foundations of Security: What Every Programme‖, APRESS,2007.

2. Michael E Whitman and Herbert J Mattord, "Principles of Information Security", Vikas PublishingHouse, 2003.

E-REFERENCES:

1. http://williamstallings.com/Cybersecurity/ 2. freecomputerbooks.com › compsc special Security Books

ELECTIVE – III INTRODUCTION TOCOMPUTER FORENSICS AND BIOINFORMATICS

OBJECTIVES:

To provide an understanding Computer forensics fundamentals To

analyze various computer forensics technologies

To provide computer forensics systems To identify methods for data recovery.

To understand Genomic data acquisition and analysis,

comparative and predictive analysis in Bioinformatics field. COURSE OUTCOMES:

CO1 Demonstrate competency in the collection, processing, analyses, and evaluation of evidence.

CO2

Demonstrate competency in the principles of crime scene investigation, including the recognition, collection, identification, preservation, and documentation of physical evidence. Classify and apply the acquisition tools

CO3 Identify the role of the forensic scientist and physical evidence within the criminal justice system. Identify and examine current and emerging concepts and practices within the forensic science field.

CO4 To get introduced to the basic concepts of Bioinformatics and its significance in Biological data analysis.

CO5 Describe the history, scope and importance of Bioinformatics and role of internet in Bioinformatics

CO6 Classify different types of Biological Databases. Introduction to the basics of sequence alignment and analysis


PSO1 PSO2 PSO3 PSO4

CO1 S S M S

CO2 S S S S CO3 S S L S

CO4 S M S S CO5 S M M S CO6 M L S S

S-Strong M-Medium L-Low UNIT I: Understanding of Computer Forensics: Computer Forensics vs other related disciplines – A brief history of Computer Forensics – Understanding Case law – Developing Computer Forensics resources. Preparing for Computer Investigation.

UNIT II: Data Acquisition: Understanding Storage Formats for Digital Evidence – Determining the Best Acquisition Model – Contigency Planning for Image Acquisitions – Using Acquisition Tools – Validating Data Acquisition.

UNIT III: Processing Crime and Incident Scenes: Identifying Digital Evidence – Collecting Evidence in Private Sector Incident Scenes – Seizing Digital Evidence at the Scene – Storing Digital Evidence.

UNIT IV: Introduction to Bioinformatics – Databases and Matrices – Biological Database – Database

Searching –Scoring Matrices.

UNIT V: Sequence Alignment – Pair wise sequence alignment – Multiple sequence alignment. Probabilistic Modes - Markov chain - Hidden Markov Models.

TEXT BOOK:

1. Bill Nelson, Amelia Philips and Christoper Stewart, ‖Guide to Computer

Forensics and Investigations‖, Censage learning,2010.

2. Ruchi Singh and Richa Sharma,‖ BioInformatics‖, University Press, Hyderabad,

2010.3

3. Richard Durbin, Sean Eddy, Anders Krogh, and Graeme Mitchison, ―Biological

Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids‖,

Cambridge UniversityPress,2008.

REFERENCES:

1. Jay G Heiser and Warren G Kruse, ―Computer Forensics: Incident Response Essentials‖, Addison Wesley, NewDelhi,2010.

2. RobertMSlade,―Software Forensics:CollectingEvidencefromthesceneofa DigitalCrime‖, Tata Mc GrawHill,NewDelhi,2011.

3. Arthur M Lesk,‖Introduction to Bio Informatics‖ Oxford Universitypress,2014.

4. Bishop M.J., Rawlings C.J. (Eds.), ―DNA and protein sequence analysis: A

Practical Approach‖, IRL Press,Oxford,2010

Elective III: NETWORK SECURITY

OBJECTIVES:

To know about various encryption techniques.

To understand the concept of Public key cryptography.

To study about message authentication and hash functions

To impart knowledge on Network security

COURSE OUTCOMES:

CO1 Classify the symmetric encryption techniques

CO2 Illustrate various Public key cryptographic techniques

CO3 Evaluate the authentication and hash algorithms.

CO4 Discuss authentication applications

CO5 Summarize the intrusion detection and its solutions to overcome the attacks.

CO6 Basic concepts of system level security


PSO1 PSO2 PSO3 PSO4 CO1 S S M L CO2 S S S M

CO3 S M M L CO4 S S S S CO5 S S M S

CO6 S S S S S-Strong M-Medium L-Low

UNIT I: Introduction: Security trends – Legal, Ethical and Professional Aspects of Security, Need for Security at Multiple levels, Security Policies – Model of network security – Security attacks, services and mechanisms – OSI security architecture – Classical encryption techniques: substitution techniques, transposition techniques, steganography- Foundations of modern cryptography: perfect security – information theory – product cryptosystem – cryptanalysis.

UNIT II: Symmetric key cryptography: Mathematics of symmetric key Cryptography: Algebraic structures – Modular arithmetic-Euclid‟s algorithm- Congruence and matrices – Groups, Rings, Fields- Finite fields- SYMMETRIC KEY CIPHERS: SDES – Block cipher Principles of DES – Strength of DES – Differential and linear cryptanalysis – Block cipher design principles – Block cipher mode of operation – Evaluation criteria for AES – Advanced Encryption Standard – RC4 – Key distribution.

UNIT III: Public key cryptography: Mathematics of asymmetric key Cryptography: Primes – Primality

Testing – Factorization – Euler‘s totient function, Fermat‘s and Euler‘s Theorem – Chinese Remainder Theorem – Exponentiation and logarithm – ASYMMETRIC KEY CIPHERS: RSA cryptosystem – Key distribution – Key management – Diffie Hellman key exchange – ElGamal cryptosystem – Elliptic curve arithmetic-Elliptic curve cryptography.

UNIT IV: Message authentication and integrity: Authentication requirement – Authentication function – MAC – Hash function – Security of hash function and MAC – SHA – Digital signature and authentication protocols – DSS- Entity Authentication: Biometrics, Passwords, Challenge Response protocols- Authentication applications – Kerberos, X.509

UNIT V: Security practice and system security: Electronic Mail security – PGP, S/MIME – IP security – Web Security – SYSTEM SECURITY: Intruders – Malicious software – viruses – Firewalls.

TEXT BOOK:

William Stallings, ―Cryptography and Network Security: Principles and Practice ―, PHI 3rd Edition, 2006.

REFERENCES:

1. C K Shyamala, N Harini and Dr. T R Padmanabhan ‖ Cryptography and

Network Security‖, Wiley IndiaPvt.Ltd

2. Behrouz A.Foruzan, ―Cryptography and Network Security‖, Tata McGraw Hill2007.

3. Charlie Kaufman, Radia Perlman, and Mike Speciner, ―Network Security:

PRIVATE Communication in a PUBLIC World, Prentice Hall‖, ISBN0-13-

046019-2

ELECTIVE - IV: INTERNET OF THINGS

OBJECTIVES:

To understand the fundamentals of Internet of Things

To learn about the basics of IOT protocols

To build a small low cost embedded system using Raspberry Pi.

To apply the concept of Internet of Things in the real world scenario COURSE OUTCOMES:

CO1 Interpret the vision of IoT from a global context CO2 Describe the fundamentals of IoT and M2M CO3 Analyze applications of IoT in Raspberry PI

CO4 Appreciate the role of big data, cloud computing and data analytics in a typical IoT system

CO5 Determine the market perspective of IoT

CO6 Illustrate the application of IoT in Industrial Automation and identify Real World Design Constraints.


PSO1 PSO2 PSO3 PSO4

CO1 S S M M

CO2 S S M M CO3 S S S S CO4 S S S S

CO5 S M S S CO6 M L S S


UNIT I: Introduction - Physical Design of IoT- Logical Design of IoT- IoT Enabling Technologies - IoT Levels &

Deployment Templates.

UNIT II: IoT and M2M - M2M – Difference between IoT and M2M-SDN and NFV for IoT. Iot system management –Need-

SNMP-Network operator requirements- NETCONF- YANG.

UNIT III: IoT Platforms Design Methodology IoT : Ten steps in IoT design methodology- IoT Physical Devices &

Endpoints: RASPERRY PI- Raspberry Pi Interfaces - Programming Raspberry Pi with Python.

UNIT IV: Data Analytics for IoT – Software & Management Tools - Cloud Storage Models & Communication APIs -

Cloud for IoT - Amazon Web Services for IoT.

UNIT V: Case Studies and Real-World Applications - Real world design constraints - Applications - Asset management,

Industrial automation, smart grid, Commercial building automation, Smart cities - participatory sensing.

TEXT BOOK:

ArshdeepBahgaandVijayMadisetti,‖Internetofthings:AHandsonApproach‖,UniversityPress, Hyderabad,2015.

REFERENCES:

1. Adrian McEwen and Hakim Cassimally, ―Designing the Internet of Things‖,

John Wiley & Sons,2013.

2. Cuno Pfister, ―Getting Started with the Internet of Things: Connecting

Sensors and Microcontrollers to the Cloud‖, Maker Media,2011.

ELECTIVE - IV: TCP/IP & INTERNET

OBJECTIVES:

Understand the IP addressing schemes. Understand the fundamentals of network design and implementation Understand the design and implementation of TCP/IP networks Understand on network management issues Learn to design and implement network applications.

COURSE OUTCOMES:

CO1 Combine and distinguish functionalities of different Layers.

CO2 Understand and explain Data Communications System and its components.

CO3 Identify and describe development history of routing protocols

CO4 Describe and Analysis of basic protocols of computer networks, and how they can be used to assist in network design and implementation

CO5 Illustrate reference models with Host Configuration and Electronic Mail CO6 Design and implementation of TCP/IP networks


PSO1 PSO2 PSO3 PSO4

CO1 S S M L

CO2 S S M L CO3 S S S M CO4 S S S M

CO5 S S S S CO6 M M S S

S-Strong M-Medium L-Low Unit I:Introduction and Overview. Comparison of OSI Model and TCP/IP model. Networking Technologies: LANS, WANS, Connecting Devices. Internetworking concept and Architectural model. Internet Backbones, NAP, ISP‟s, RFC‟s, Internet Standards.

Unit II: Internet Addresses: IP address classes, subnet mask, CIDR, ARP,RARP, Internet Protocol, Routing IP Datagrams, ICMP and IGMP.

Unit III: UDP, TCP, Sockets and socket Programming, Routing in Internet, Routing protocols- RIP, OSPF and BGP. Introduction to Multicasting and Multicast routing.

Unit IV: Host Configuration: BOOTP, DHCP; Services: Domain Name System, FTP, TFTP and Electronic Mail: SMTP, MIME, IMAP, POP.

Unit V: Network Management: SNMP, WWW: HTTP, Mobile IP. Multimedia: RTP, RTCP. Middleware‘s: RPC, RMI. Introduction to IPv6 and ICMPv6, Internet Security: IPSec, PGP, Firewalls, SSL.

TEXTBOOKS:

1. Douglas Comer, ―Internetworking and TCP/IP: Principles, Protocols and Architectures‖, Pearson Education. 2 .BehrouzA.Forouzan, ―TCP/IPProtocol suite‖,ThirdEdition,TMH. 3 · James F. Kurose, Keith W. Ross,‖Computer Networking – A

Top- Down Approach Featuring the Internet‖, Pearson Education,Asia.

4· Larry L. Peterson and Bruce S. Davie,‖Computer Networks: A systems approach‖ Third Edition, Morgan Kaufmann Publishers.

REFERENCES BOOKS:

1· Stevens W. R. ―TCP/IP Illustrated‖, volume 1,2,3, Pearson education. 2· Book For Practical:·―Hands-On Networking with Internet Technologies‖ by Douglas

E. Comer, Pearson Education, Asia, 2002

E-REFERENCES:-

WWW.wikipedia.org/wiki/Internet_protocol_suitewww.w3schools.com/tcpip/default.

asp

WWW.portal.aauj.edu/portal.../oreilly_tcpip_network_administration.p

df

http://www.wikipedia.org/wiki/Internet_protocol_suite

http://www.wikipedia.org/wiki/Internet_protocol_suite

http://www.w3schools.com/tcpip/default.asp

http://www.portal.aauj.edu/portal.../oreilly_tcpip_network_administration.pdf

http://www.portal.aauj.edu/portal.../oreilly_tcpip_network_administration.pdf

ELECTIVE – IV: WIRELESS TECHNOLOGIES

OBJECTIVES:

Know the characteristic of wireless channel Learn the various cellular architectures Understand the concepts behind various digital signaling schemes for fading channels Be familiar the various multipath mitigation techniques Understand the various multiple antenna systems

COURSE OUTCOMES:

CO1 Able to understand the infrastructure to develop mobile communication systems (cellular theory) and the characteristics of different multiple access techniques in mobile communication.

CO2 To motivate the students to pursue research in the area of wireless communication.

CO3

Analyze the measures to increase the capacity in GSM systems and the entire protocol architecture of GSM- communication protocols for radio resource management, mobility management, connection management at the air interface the mechanisms for authentication and encryption.

CO4 Describe and analyze the different inter-networking challenges and solutions in wireless mobile networks-Network and Transport Layers.

CO5 The ability to develop applications that are mobile-device specific and demonstrate current practice in mobile communication contexts.

CO6 Describe Sub-netting and Addressing of IPv6 and ICMPv6.


PSO1 PSO2 PSO3 PSO4 CO1 S S M L

CO2 S S M L CO3 S S S M CO4 S S S M

CO5 S S S S CO6 M M S S

S-Strong M-Medium L-Low UNIT I: Introduction, wireless transmission - frequencies for radio transmission - signals - antennas - signal propagation - multiplexing - modulation - spread spectrum - cellular systems

UNIT II: medium access control - specialized MAC - SDMA - FDMA - TDMA - aloha - CSMA - collision avoidance - polling - CDMA - comparison of S/T/F/CDMA Telecommunication systems Mobile services - system architecture - radio interface - protocols - localization and calling - handover.

UNIT III: security - new data services - satellite systems- broadcast systems - digital audio broadcasting, - digital video broadcasting Wireless LAN Infrared Vs radio transmissions - infrastructure and Ad-hoc networks - IEEE 802.11 - Bluetooth.

UNIT IV: Mobile network layer - mobile IP - packet delivery - registration - tunneling and encapsulation - optimizations - reverse tunneling - dynamic host configuration protocol Ad-hoc networks - routing - algorithms

- metrics .

UNIT V: Mobile transport layer TCP - indirect TCP - snooping TCP - mobile TCP - retransmission - recovery - transaction oriented TACP - support for mobility File systems-WWW - WAP - architecture - datagram protocol - transport security - transaction protocol - session protocol - application - environment - WML - WML script - wireless telephony application.

TEXT BOOK:

1. Pearson Schiller J―Mobile Communications‖, Education,2003 2. Stallings.W, ―Wireless Communications and Networks‖,2002

REFERENCES:

1. Blake Roy,‖ Wireless Communication Technology‖, Thompson, 2001 2.ShambhuUpadhyaya, AbhijeetChaudhary, Kevin Kwiat, Mark Weises, ―Mobile Computing‖, Kluwer Academic Publishers. 2002 3. C. Siva Ram Murthy, ―Ad Hoc Wireless Networks: Architectures and Protocols‖, Pearson Education.2004 4. C. Siva Ram Murthy,―WDMOpticalNetworks:Concepts, Design, and Algorithms‖, Pearson Education,2002.

Core P9- BIG DATA ANALYTICS LAB OBJECTIVE:

Demonstrate the insight of an exciting growing field of Big Data analytics.

Derive the scripts of Hadoop, NoSql, MapReduce to develop the knowledge of data science

Derive the coding to manage and analyze big data like Hadoop, NoSql, MapReduce.

Practice big data analytics and machine learning approaches, which include the study of modern

computing big data technologies.

Scaling up machine learning techniques focusing on industry applications.

Exhibit the fundamental techniques and principles in achieving big data analytics with scalability and

streaming capability.

Validate the students to have skills that will help them to solve complex real-world problems in for

decision support. COURSE OUTCOMES:

CO1 Derive the steps of algorithms for every exercise.

CO2 Implementation of big data analytics CO3 Result analysis

CO4 Viva voce MAPPING OF COs WITH PSOs:

PSO1 PSO2 PSO3 PSO4 CO1 S S M M CO2 S S M M

CO3 S S S M CO4 S S S M


1. Perform setting up and Installing Hadoop in its three operating modes: i. Standalone, Pseudo distributed, fully distributed

ii. Use web based tools to monitor your Hadoop setup. 2. Implement the following file management tasks in Hadoop:

a. Adding files and directories b. Retrieving files c. Deleting files Hint: A typical Hadoop workflow creates data files (such as

log files) elsewhere and copies them into HDFS using one of the above command line utilities.

3. Run a basic Word Count Map Reduce program to understand Map Reduce Paradigm.

4. Write a Map Reduce program that mines weather data. Weather sensors collecting data every hour at many locations across the globe gather a large volume of log data, which is a good candidate for analysis with MapReduce,

since it is semi structured and record- oriented.

5. Implement Matrix Multiplication with Hadoop MapReduce

6. Install and Run Pig then write Pig Latin scripts to sort, group, join, project, and filter your data.

7. Install and Run Hive then use Hive to create, alter, and drop databases, tables, views, functions, and indexes.