100 150 100 0 - uvpce.ac.in · code name of subject teaching scheme credit examination scheme hrs....

TEACHING SCHEME FOR B.TECH SEMESTER – I [CE,IT,ME,ME(INT)MC,EE] Effective from Academic year 2016-17

SemSubject

CodeName of Subject

Teaching SchemeCredit Examination Scheme

Hrs.

L T P Total L T P Total

TheoryPractical/TW Ass.

GrandTotalInt.

Asses

SemEnd

Hrs Total

I

2HS101 Calculus 3 1 0 4 3 1 0 4 40 60 3 100 0 1002HS103 Communication Skills 2 0 2 4 2 0 1 3 40 60 3 100 50 1502EE101 Elements of Electrical Engineering 3 0 2 5 3 0 1 4 40 60 3 100 50 1502ME101 Elements of Mechanical Engineering 3 0 2 5 3 0 1 4 40 60 3 100 50 1502CI102 Engineering Mechanics 3 0 2 5 3 0 1 4 40 60 3 100 50 1502CI103

Environmental Studies & DisasterManagement

3 0 0 3 3 0 0 3 40 60 3 100 0 1002HS104 Creative & Critical Thinking 2 0 0 2 0 0 0 0 0 0 0 0 0 0

TOTAL 19 1 8 28 17 1 4 22

TEACHING SCHEME FOR B.TECH SEMESTER - II [CE,IT,ME,ME(INT),MC,EE] Effective from Academic year 2016-17

SemSubject

CodeName of Subject

Teaching SchemeCredit Examination Scheme

Hrs.


TheoryPractical/TW Ass.

GrandTotal

Int.Asses

SemEnd

Hrs Total

II

2HS102 Linear Algebra 3 1 0 4 3 1 0 4 40 60 3 100 0 100

2EC101 Physics 2 0 2 4 2 0 1 3 40 60 3 100 50 150

2CI101 Elements of Civil Engineering 3 0 2 5 3 0 1 4 40 60 3 100 50 150

2ME102 Engineering Graphics 3 0 2 5 3 0 1 4 40 60 3 100 50 150

2CE101 Computer Programming 2 0 4 6 2 0 2 4 40 60 3 100 50 150

2ME103Workshop Practice (Mechanical &Electrical)

0 0 4 4 0 0 2 2 - - - - 50 50

2HS105 Ethics and Values 2 0 0 2 0 0 0 0 0 0 0 0 0 0

TOTAL 15 1 14 30 13 1 7 21

TEACHING SCHEME FOR B.TECH SEMESTER - I [EC,BME,MARINE,CIVIL,CIVIL(INT)] Effective from Academic year 2016-17

Sem Subject

Code Name of Subject

Teaching Scheme Credit Examination Scheme

Hrs.


Theory Practical

/TW Ass.

Grand

Total Int.

Asses

Sem

End Hrs Total

I

2HS101 Calculus 3 1 0 4 3 1 0 4 40 60 3 100 0 100

2EC101 Physics 2 0 2 4 2 0 1 3 40 60 3 100 50 150

2CI101 Elements of Civil Engineering 3 0 2 5 3 0 1 4 40 60 3 100 50 150

2ME102 Engineering Graphics 3 0 2 5 3 0 1 4 40 60 3 100 50 150

2CE101 Computer Programming 2 0 4 6 2 0 2 4 40 60 3 100 50 150

2ME103 Workshop Practice (Mechanical

& Electrical) 0 0 4 4 0 0 2 2 - - - - 50 50

2HS104 Creative & Critical Thinking 2 0 0 2 0 0 0 0 0 0 0 0 0 0

TOTAL 15 1 14 30 13 1 7 21

TEACHING SCHEME FOR B.TECH SEMESTER - II [EC,BME,MARINE,CIVIL,CIVIL(INT)] Effective from Academic year 2016-17

Sem Subject



Hrs.


Theory Practical

/TW Ass.

Grand

Total

Int.

Asses

Sem

End Hrs Total

II

2HS102 Linear Algebra 3 1 0 4 3 1 0 4 40 60 3 100 0 100

2HS103 Communication Skills 2 0 2 4 2 0 1 3 40 60 3 100 50 150

2EE101 Elements of Electrical Engineering 3 0 2 5 3 0 1 4 40 60 3 100 50 150

2ME101 Elements of Mechanical

Engineering 3 0 2 5 3 0 1 4 40 60 3 100 50 150

2CI102 Engineering Mechanics 3 0 2 5 3 0 1 4 40 60 3 100 50 150

2CI103/

2BM101*

Environmental Studies & Disaster

Management/

Basic Biology*

3 0 0 3 3 0 0 3 40 60 3 100 0 100

2HS105 Ethics and Values 2 0 0 2 0 0 0 0 0 0 0 0 0 0

TOTAL 19 1 8 28 17 1 4 22 *Subject is offered in BME Branch only

2HS101 : Calculus [ 3 1 0 4 ]

Learning Outcomes:

Upon completion of this course, students will be able to :

Understand all basic fundamentals of Differentiation and Integration.

Prepare him/herself for finding Area and Volume.

Apply mathematical formulas in various subjects of his/her branch.

Syllabus:

Unit No Topics 1 Differential Calculus :

Review of the prerequisites such as limits of sequences and functions,

continuity, uniform continuity and differentiability. Successive

differentiation, Leibniz’s theorem(without proof), Taylor's & Maclaurin's

expansions of single variable, Indeterminate forms. 2 Partial differentiation and its applications :

Partial and total differential coefficient, Euler’s theorem,

Transformations, Geometrical interpretation of partial derivatives,

Tangent plane and Normal line, Jacobians, Taylor’s expansion for two

variables, Errors and approximations, Maxima and Minima of functions

of two variables ,Lagrange method of undetermined multipliers to

determine stationary values. 3 Integral Calculus :

Reduction Formulae: Reduction formulae of the type sinn

x dx ,

cosn

xdx , sin cosm n

x xdx , tann

x dx and cotn

x dx .

Beta & Gamma function, Error function, Elliptic integrals. Application

of integration- Length of a curve, Area of a bounded region, volume &

surface area of a solid of revolution for Cartesian, parametric & polar form. 4 Multiple integrals :

Double integral, change of order of integration, transformation of variables

by Jacobian only for double integration, change into polar co-ordinates in

double integrals only ,Triple integral, Application of multiple integration

to find areas, volumes, C.G., M.I. and mean values.

Text Books:

1. Higher Engineering Mathematics by Dr. B. S. Grewal

Reference Books:

1. Higher Engineering Mathematics Vol. I & II by Dr. K. R. Kachot.

2. Calculus and analytical geometry by G. B. Thomas and R. L. Finney

2EC101 Physics [2 2 2 1]

Learning Outcomes:

After completion of the course, students will

Able to understand, necessary parameters of different materials in different

domains.

Demonstrate the behavior of material in different fields based on their Properties.

Enrich their experimental knowledge.

Enhance practical capability and skills for modules using different materials and

selection of material for system designs.

Syllabus:

Units

No. Topics

1 Thermal Physics

Introduction, thermometry, Resistance thermometer, thermoelectric thermometer,

conduction, convection, radiation, thermal conductivity of material

2 Optics

Introduction, different theories based on the properties of light, reflection, refraction,

classification of fibers, absorption, dispersion, Lasers and LED its operation and

applications.

3 Acoustics

Introduction, Parameter associated with sound wave, Doppler effect, ultrasonic and its

applications.

4 Magnetics

Magnetic moment, Magnetic dipole, Magnetic Filed strength, Magnetic flux density,

Intensity of magnetization, Magnetic dipole moment, Magnetic field

Intensity, Magnetic permeability, magnetic susceptibility, Bohr magnetron, classification of

magnetic materials, hysteresis, Skin effect, application of magnetic materials,.

5 Semiconductor Physics

Conductors, Insulator, semiconductors, silicon crystals, intrinsic semiconductor, doping,

type of semiconductor, biasing, breakdown, energy level and hill, barrier potential.

6 Modern Physics

Introduction, nucleus, application of plasma physics, superconductive materials, Nano-

materials, Bio-materials, X-rays.

Text Books

1. “Engineering Physics” by V Rajendran, Tata McGraw Hill Education

2. “Modern Engineering Physics” by Vasudeva, Pub: S. Chand.

3. “Electronic Principles” by A.P. Malvino, Pub: TMG

Reference Books

1. “Engineering Physics” John Wiley Publication

2. “Engineering Physics” by Naidu, Pearson Education India

3. “A Text Book of Engineering Physics” by M. N. Avadhunuly, P.G. Kshirsagar,

Pub. S. Chand

2CI101: Elements of Civil Engineering

[3 2 3 1]

Learning Outcomes:

Upon completion of this course, students will acquire knowledge about the basic areas of

civil engineering like water resources engineering, transportation engineering, surveying

& levelling, materials used in construction and engineering aspects related to the

construction of structures.

Syllabus:

Unit

No.

Topics

1 Introduction :

Branches & Scope of civil engineering, Various engineering structures, Role of Civil

Engineers, Importance of Planning, Scheduling and Construction management.

2 Construction Materials:

Introduction, Stones, Bricks, Lime, Cement, Sand, Aggregates, Mortar, Concrete &

Timber.

3 Surveying & Levelling

Introduction: Purpose, use and principles of surveying, Introduction of Plan, Scale &

map, Plane & Geodetic surveying, Classification of survey.

Linear Measurements: Instruments used in chaining, Ranging out of Survey lines,

Chaining on sloping grounds, Obstacle in chaining.

Angular Measurements: Introduction, Prismatic & Surveyors Compass, Types of

Bearings and Meridians, Whole Circle Bearing and Reduced Bearings, Fore bearing &

Back bearing, Calculation of Angles from bearings and bearings from angle, Included

Angles, Magnetic Dip and Declination, Local Attraction, Closing error.

Elevation Measurements: Introduction Dumpy Level, Levelling staff, Methods of

leveling, Recording and Reducing of levels & numerical based on them, Contour Survey.

Modern Tools of Surveying: Introduction to Theodolite, Electronic Distance

Measurement Instruments, Total Station, Global Positioning System, Remote Sensing and

Geographic Information System

4 Building, Planning & Construction: Principles of planning, Requirements of building,

Plan, Elevation & Section, Building Components (Superstructure & Substructure).

5 Water Resources and Hydraulics:

Hydrological Cycle, Importance of Hydrology, Classification of Water resources &

Requirement of water for various uses, Water shed management.

6 Transportation Engineering:

Role of Transportation in National development, Transportation Ways, Transportation

Systems, Traffic control devices, Types of roads, Components of road pavement.

Laboratory Work: This shall consist of field and laboratory work based on above content.

Term Work: Term work shall consist of Drawing Sheets, Field Book, and assignment consisting

theories and Numerical based on above content

Text Books

1 Surveying – I By B. C. Punmia: Laxmi Pub.House

2 Elements of Civil Engineering Author: Dr. R.K. Jain and Dr. P.P. Lodha Publisher:

McGraw Hill Education, India Pvt. Ltd.

Reference Books

1 Building Construction – By B. C. Punmia: Laxmi Pub.House

2 Materials of Construction By D. N. Ghose Publisher: McGraw Hill Education, India Pvt.

Ltd.

3 Highway Engineering - Khanna S.K and Justo C.E.G.,Khanna Publishers , Delhi

4 Hydrology and Water Resources Engineering- By Santosh Kumar Garg, Publisher,

Khanna Publishers

5 Fundamentals of Surveying – By S.K.Roy, PHI Publication

2ME102: Engineering Graphics [3 2 3 1]

Learning Outcomes:

After learning the course the students should be able to

To know and understand the conventions and the method of engineering drawing.

Interpret engineering drawings using fundamental technical mathematics.

Construct basic and intermediate geometry.

To improve their visualization skills so that they can apply these skill in developing

new products.

To improve their technical communication skill in the form of communicative

drawings.

Comprehend the theory of projection.

Syllabus:

Unit

No.

Topics

1 Introduction:

Importance of Engineering Drawing, Engineering Drawing, Instruments and uses, B.I.S

and I.S.O. Conventions for drawings, Use of plane scales and Representative Fraction

PLANE GEOMETRY

2 Loci of Point:

Path of the points moving on simple arrangements and simple Mechanism, Slider Crank

Mechanism, Four bar Chain Mechanism etc.

3 Engineering Curves:

Classification of Engineering Curves, Construction of Conics curves, Cycloidal Curves,

Involutes and Spirals along with normal and tangent to each curve

SOLID GEOMETRY

4 Projection of Points and Straight Lines:

Introduction to principal planes of projections, Notation System- Points in First, Second,

Third and Fourth quadrants, Projections of line Parallel to Two and Perpendicular to one

of the principal planes, Line parallel to one and inclined to two principal planes, Line

inclined to all the three principal planes, True length of the line and its inclination with the

reference planes.

5 Projection of Planes:

Concept of different planes, Projections of planes with its inclination to one principal plane

and with two principal planes. Concept of auxiliary plane method for projections of the

plane.

6 Projection of Solids and Sections of Solids:

Classifications of Solids, Projections of right and regular solids with their axis Parallel to

Two and Perpendicular to one of the principal planes, axis parallel to one and inclined to

two principal planes, axis inclined to all the three principal planes. Section of solids and

the true shape of the section.

7 Development of surfaces:

Methods of development of lateral surface of right solids, Parallel line development,

Radial line development.

8 Interpenetration of Solid:

line of interaction, line/generator method and section plane method, intersection of two

prisms, two cylinder, interaction of cone and cylinder.

9 Orthographic Projections & Sectional Orthographic Projections:

Principle of projection, Principal planes of projection, Projections from the pictorial view

of the object on the principal planes for View from Front View from Top View from Side

using first angle projection method and third angle projection method, Full Sectional

View.

10 Isometric Projections and Isometric View or Drawing:

Isometric Scale, Conversion of orthographic views into isometric projection, isometric

view or drawing.

Text Books

1. A Text Book of Engineering Graphics By P.J.Shah S.Chand & Company Ltd., New

Delhi

Reference Books

1. Engineering Graphics – I and II By Arunoday Kumar Tech – Max Publication,

Pune

2. Elementary Engineering Drawing By N.D.Bhatt Charotar Publishing House,

Anand

3. A text book of Engineering Drawing By R.K.Dhawan S.Chand & Company Ltd.,

New Delhi

4. A text book of Engineering Drawing By P.S.Gill S.K.Kataria & sons, Delhi

5. Engineering Drawing and Graphics, Venugopal

6. Engineering Drawing with an Introduction to AutoCAD By D.A.Jolhe Tata

McGraw-Hill Publishing Co. Ltd., New Delhi

7. Engineering Drawing & Graphics using Auto CAD 2000 By T. Jeyapoovan

Vikas Publishing House Pvt. Ltd., New Delhi

2CE101: Computer Programming [2 4 2 2]

Learning Outcomes:

Upon completion of this course, students will acquire knowledge about:

Able to implement the algorithms and draw flowcharts for solving Mathematical

and Engineering problems.

Demonstrate an understanding of computer programming language concepts.

To be able to develop C programs on linux platform.

Ability to design and develop Computer programs, analyzes, and interprets the

concept of pointers, declarations, initialization, operations on pointers and their

usage.

Able to define data types and use them in simple data processing applications also

he/she must be able to use the concept of array of structures. Student must be able

to define union and enumeration user defined data types.

Develop confidence for self education and ability for life-long learning needed for

Computer language.

Syllabus:

Unit

No.

Topics

1 Introduction to Programming

Basic computer organization, operating system, editor, compiler, interpreter, loader,

linker, program development. Variable naming, basic function naming, indentation,

usage and significance of comments for readability and program maintainability. Types

of errors, debugging, tracing/stepwise execution of program, watching variables values

in memory.

Constants, Variables and data Types

Character Set, C tokens, Keywords and Identifiers, Constants, Variables, Data types,

Declaration of Variables, Assigning values to variables, typedef, and Defining symbolic

constants. printf & scanf function.

2 Operators and Expression

Introduction, Arithmetic Operators, Relational Operators, Logical Operators, Assignment

Operators, Increment and Decrement Operators, Conditional Operators, Special Operators,

Evaluation of expressions, Precedence of arithmetic operators, Type conversions in

expressions, Operator precedence and associativity.

Management Input and Output Operators

Introduction, reading a character, writing a character, formatted input, formatted output.

3 Decision Making branching

Introduction, Decision making with IF statement, the IF.. ELSE statement, nesting of IF

… ELSE statements, The ELSE IF ladder, The switch statement, and the turnery (?:)

Operator, the GOTO statement.

Looping

Introduction, the WHILE statement, the DO statement, The FOR statement, Break and

Continue.

4 Array

Introduction, One-dimensional arrays, Two-dimensional arrays, arrays, Concept of

Multidimensional arrays.

Handling of Character strings

Introduction, Declaring and initializing string variables, Reading string from terminal,

Writing string to screen, String, atoi(), Operations: String Copy, String Compare, String

Concatenation And String Length(using predefined functions & without using them),

Table of strings.

5 User-Defined Functions

Introduction, Need for user-defined functions, The form of C function, elements of UDF,

Return values and their types, Calling a function, category of functions, Nesting of

functions, Recursion , Functions with arrays, The scope and Lifetime of variables in

functions, multi file program.

Structures and Unions

Introduction, Structure definition, declaring and initializing Structure variables, accessing

Structure members, Copying & Comparison of structures, Arrays of structures, Arrays

within structures, Structures within Structures, Structures and functions, Unions.

6 Pointers

Introduction, Understanding pointers, Accessing the address of variable, Declaring and

initializing pointers, Accessing a variable through its pointer, Pointer expressions, Pointer

increments and scale factor, Pointers and arrays, Pointers & character strings, Pointers &

Functions, Function returning multiple values, Pointers and structures.

File Management in C and CONSOLE I/O

Introduction, Defining files and its Operations, Error handling during I/O operations,

Random access files, Command line arguments. Types of files, File vs. Console, File

structure, File attributes, Standard i/o, Formatted i/o, Sample programs.

Text Books

1. Programming in ANSI-C By E. Balagurusami, TMH Publication

2. Let us C By Yashwant Kanetkar, BPB Publication

Reference Books

1 C Programming language By Kernighan, Brian, W, Retchie, Dennis, PHI

Publication

2 Programming in C, Schaum Outline, McGraw-Hill

3 Lab Manual for Basic Linux commands, to be provided by the department.

2ME103: Workshop Practice (Mechanical & Electrical) [0 4 0 2]

Learning Outcomes:

Upon completion of this course, students will acquire knowledge about:

To acquire skills in basic engineering practice.

To identify the hand tools and instruments.

To acquire measuring skills.

To acquire practical skills in the trades.

To provides the knowledge of job materials in various shops.

To provides the knowledge of core technical subjects for making and working of

any type of project.

Students will be able to analyze the material on the basis of their properties and

thus assigning different weight age to their use for technical purposes.

Understand modern manufacturing operations, including their capabilities,

limitations, and how to design economically.

Gain insight into how designers influence manufacturing schedule and cost, and

cost of different components.

Learn how to analyze products and be able to improve their manufacturability and

make the cost effectively.

The students will be able to assess the working conditions of any machining process

and thus calculating the actual forces involved.

Students are expected to learn the physical recognition of different electrical &

Electronics components like Resistances, Inductances, Capacitances, diodes,

transistors and their ratings.

Students are expected to connect electric circuits, and be able to use electric

instruments to perform experiments

Students are expected to be able to check ratings of commonly used house hold

electrical appliances.

Students are expected to be able to understand the different wiring schemes used

around them like in their homes, shops, college, etc.

Students are expected to recognize the importance of safety while dealing with

electrical equipments.

Students are expected to be able to identify and solve the small problems occurring

in their house-hold devices like fan, iron, washing machine, electric kettle, mixer,

etc.

Students are expected to be able to calculate their energy bill and apply some energy

conservation to reduce it.

Syllabus:

Unit

No.

Topics(A)Mechanical

1 Instruction and Demonstration :

Instruction should be given for each of following shops which include

importance of the shop in engineering, new materials available, use of each

tool / equipment, methods of processing any special machines, power

required etc.

2 Carpentry Shop:

Study of tools & operations and carpentry joints, Simple exercise using jack

plane, Simple exercise on woodworking lathe.

3 Fitting Shop:

Study of tools & operations, Simple exercises involving fitting work, Make perfect

male-female joint, Simple exercises involving drilling/tapping/dieing.

4 Smithy Shop:

Study of tools & operations, Simple exercises base on smithy operations such as

upsetting, drawing down, punching, bending, fullering & swaging.

5 Plumbing Shop:

Study of Tools and Operations, Simple exercises of piping.

6 Welding Shop:

Study of tools & operations of Gas welding & Arc welding, Simple butt and Lap welded

joints, Oxy-acetylene flame cutting.

7 Sheet-metal Shop:

Study of tools & operations, making sheet metal component using ‘soldering’. Ex:

Funnel, tool-box, tray, electric panel box etc.

8 Machine Shop:

Study of machine tools and operations, Demonstrations of basic machine tools like

Lathe, Shaper, drilling machine with basic operations etc.

9 Foundry Shop:

Study of tools & operations like Pattern making, Mould making with the use of a core.

Various Casting processes

Topics(B) Electrical

10 Identification of electrical and electronics components:

Resistors, Capacitors, Inductors, Diodes, Transistors.

11 Domestic and Industrial Electrical wiring:

Wiring of different lamp control, Staircase circuits, Cleat wiring and conduit wiring,

Working of fluorescent tube light, Compact Fluorescent Light, Electronic Ballast,

Connection of table fan and ceiling fan with regulators.

12 Operation of Protective & Safety devices:

Fuse, MCB, ELCB, Relay.

13 Troubleshooting of domestic devices:

Dismantling, Repairing, Assembling and testing of domestic appliance like electric

iron, Room heater, Electric toaster, Water heater, Electric kettle, Electric oven, Ceiling

fan, Table Fan, Regulators, Alarm bell.

14 Electrical Energy meter:

1-Φ & 3-Φ Energy meter, Measurement & Calculation of Electrical Energy, Calibration

of Energy Meter

15 Motor:

Demo model of Motor Principle, Assembly & Disassembly of different motors,

Basic Troubleshooting of different motors, Voltage, Current, Power & Speed

measurement of various motors

16 Earthing:

Measurement of Earth resistance, Earthing methods, Domestic Earthing.

17 Batteries & Cells

Types of Cells, Charging & Discharging Phenomena of Batteries, Applications of

various batteries

Text Books

1. Work shop technology by Hajra Chaudhary

2. Elements of Mechanical Engineering by Hajra Chaudhary

3. Elements of Mechanical Engineering by Mathur & Mehta

4. Work shop technology by Chapmen

5. Electronics principle by A. Malvino

6. S. L. Uppal , “ Electrical wiring, estimating and costing “, Khanna Publication

7. K. B. Bhatia, “ Fundamentals of Maintenance of Electrical Equipments”, Khanna

Publication

8. Dr N. K. Jain, “ A Text Book of Practicals in Electrical Engineering “, Dhanpat

Rai Publishing Company

2HS104: Critical and Creative Thinking [2 0 0 0]

Learning Outcomes:

On successful completion of the course, the students will be:

able to enhance their creative and innovative thinking skills

familiar with processes and methods of creative problem solving: observation,

definition, representation, ideation, evaluation and decision making

able to take better decisions

able to evaluate facts in an argument

learn the Art of Questioning

able to be better thinkers

Syllabus:

Unit

No.

Topics

1 Creativity, Innovation & Critical thinking

Introduction to Creativity and Innovation, Differentiation between creative and critical

thinking, Thinking styles and common mistakes in thinking, Thinking about information

and emotions, truth and knowledge, Evaluating arguments by asking the right questions

about issues, conclusions, reasons, assumptions, evidence, etc.

2 Techniques for improving Creativity

Brainstorming, Lateral Thinking, List of Mental Associations, Random Combinations,

Matrix of Ideas, Use of Manipulative verbs, Tree of Possibilities, Abstraction,

Transformation, Use of mind stimulation: games, brain-twisters and puzzles

3 Creativity in problem solving:

Problem Definition, Understanding, Representing, Pattern Breaking, Thinking differently,

Changing your point of view, Watching for paradigm shift, Challenging conventional

wisdom, Lateral thinking, etc.

Reference Books:

1. Asking the right Questions by M. Neil Browne & Stuart M. Keeley, Pearson, Prentice

Hall

2. Teach Yourself to Think by Edward de Bono, Penguin

3. Lateral Thinking by Edward de Bono, Penguin

4. Six Thinking Hats by Edward de Bono, Penguin

5. Selected videos showcasing cases and arguments

PROPOSED TEACHING SCHEME FOR B.TECH SEMESTER - III B.Tech Semester III [ Information Technology ] Effective from Academic year 2015-16

Sem Subject



Hrs.


Theory Practical /TW Ass.

Grand Total Int.

Asses

Sem End

Hrs

Total

III

2HS301 Discrete Mathematics & Probability 4 0 0 4 4 0 0 4 40 60 3 100 - 100

2IT302 Computer System Organization 3 0 2 5 3 0 1 4 40 60 3 100 50 150

2IT303 Internet Programming 3 0 4 7 3 0 2 5 40 60 3 100 50 150

2IT304 Object Oriented Programming 3 0 4 7 3 0 2 5 40 60 3 100 50 150

2IT305 Database Management System-I 3 0 2 5 3 0 1 4 40 60 3 100 50 150

Audit Course 2 0 0 2 0 0 0 0 0 0 0 0 00 0

TOTAL 18 0 12 30 16 0 6 22 200 300 15 500 200 700

PROPOSED TEACHING SCHEME FOR B.TECH SEMESTER - IV [ Information Technology ] Effective from Academic year 2015-16

Sem Subject Code

Name of Subject


Hrs.


Theory Practical /TW Ass.

Grand Total

Int. Asses

Sem End

Hrs

Total

IV

2HS401 Mathematics for Computer Engineering & Information Technology

4 0 0 4 4 0 0 4 40 60 3 100 - 100

2IT402 Operating System 3 0 2 5 3 0 1 4 40 60 3 100

50 150

2IT403 Database Management System-II 3 0 2 5 3 0 1 4 40 60 3 100 50 150

2IT404 Data Structures 4 0 4 8 4 0 2 6 40 60 3 100 50 150

2IT405 Application Development Tools 2 0 4 6 2 0 2 4 40 60 3 100 50 150

Audit Course 2 0 0 2 0 0 0 0 0 0 0 0 00 0

TOTAL 18 0 12 30 16 0 6 22 200 300 15 500 200 700

2HS301: Discrete Mathematics & Probability [4 0 0 4 0] Learning Outcomes: After successful completion of this course, student will be able to

Understand discrete mathematical preliminaries Apply discrete mathematics in formal representation of various computing constructs Recognize the importance of analytical problem solving approach in engineering

problems

Topics Minimum

Hours 1] Group Theory :

Definition and Examples of Groups &Semi groups, Monoids and Groups, Abelian Group, Cyclic Group, Subgroup, Permutation Groups, Coset Decomposition of Groups, Normal Subgroups, Lagrange’s Theorem.

09

2] Graph Theory : Basic Concept of Graph Theory, Some Basic Definitions of Graphs, Paths,

Reachability and Connectedness, Matrix Representation Of Graphs, Trees. 09

3] Fuzzy Sets: Basic Definitions of Fuzzy sets, Basic Operations On Fuzzy Sets, Image and

Inverse Images, I-V Fuzzy Sets, Fuzzy Relations. 06

4] Correlation: Definition of Correlation, Types of Correlation, Scatter Diagram Method,

Karl Person’s Correlation Coefficients, Correlation Coefficients for Bivariate frequency distribution, Probable error for Correlation Coefficients, Rank Correlation Co-efficient.

08

5] Regression: Definition of Regression, Regression lines, Regression Coefficients,

Properties of regression Coefficients, Fitting of regression lines and estimation for Bivariate frequency distribution.

07

6]Probability Distributions: Binomial Distribution :

Introduction, Probability mass function of Binomial distribution, Mean and Variance of Binomial distribution, Properties of Binomial Distribution, Uses of Binomial Distribution.

Poisson Distribution : Introduction, Probability mass function of Poisson distribution, Mean and

Variance of Poisson distribution, Properties of Poisson Distribution, Applications of Poisson Distribution.

Normal Distribution : Introduction, Probability density function of Normal distribution, Properties

of Normal distribution, Importance of Normal Distribution.

09

Text Book:

1 Discrete Mathematical Structures With Application To Computer ScienceBy Tremblay, J.P. &Manohar ,Mcgraw Hill - New DelhiTextbook of engineering mathematics

By A.B.Mathur and V.P.Jaggi.

Reference Books: 2 Discrete Mathematics and Its Applications

By Rosen,KennethL.Mcgraw Hill - New Delhi 3 Discrete Mathematical Structures For Computer Science

By Kolman, B& Busby R.C,Prentice Hall Of India PvtLtd.,New Delhi 4 Applied Discrete Structures For Computer Science

By Alan Doerr&Kenneth ,GalgotiaPub.Pvt.Ltd. New Delhi 5 Fuzzy Sets and Fuzzy Logic. Theory and Applications

By Georgr J. Klir/Bo Yuan 6 Fundamental of Applied Statistics

By S.C. Gupta & V.K. Kapoor , Sultan Chand Publication 7 Probability, Statistics and Random Process

By T Veerarajan, TMH

2IT302: Computer System Organization [3 0 2 3 1] Learning Outcomes:

To learn various number systems and their conversion used in digital components To design basic electronics circuit for various applications and their analysis To introduce the main concepts and components of basic computer To introduce internal operations of computer and various instructions to perform

operations in computer

Topics Minimum

Hours 1] Digital Electronics:

Binary Systems: Digital Computer & Systems, binary numbers, number base

conversions, different number systems & their relations, complements, binary codes, addition and subtraction of binarynumbers.

Boolean Algebra & Logic Gates: Basic definitions, axiomatic definition of Boolean algebra, basic

theorems & properties, Boolean functions, canonical & standard forms, Logic operations, Digital Logic gates.

Simplification of Boolean Functions: Map method, Two, Three, Four, Five & Six variable maps, products

of sum & sum of products simplification, don't care conditions, tabulation method.

Combinational Logic: Design procedure, adder, subtractors, code conversion, analysis

procedure, exclusive- OR & equivalence functions. Combinational Logic with MSI & LSI:

Binary parallel adder, magnitude comparator, decoders, multiplexers, de-multiplexers

Sequential Logic: Flip-Flop, state reduction and assignment, flip-flop excitation table,

design procedure, design of counters Registers

Registers, shift registers

5

4

5

4

5

6

3

2] Introduction to microprocessor Introduction 8085, high level languages, assembly/machine language, 8085

Programmable model, Instruction set, basic assembly programming

5

3] Computer Organization Basic Computer Organization and Design

Von Neumann Model Of Computer, IEEE Floating point representation, CPU, Arithmetic micro operations, Logical micro operations, Instruction cycles, addressing modes.

7

Text Book:

1 Digital Logic and Computer Design By Morris Mano

Reference Books: 2 Digital Electronics Circuits & Systems

By V. K. Puri 3 Microprocessor Architecture, Programming & application with 8085/8080A

By Ramesh S. Gaonkar 4 Computer Organization & Architecture

By William Stallings 5 Computer Organization and Design

By P.PalChaudhuri

2IT303: Internet Programming [3 0 4 3 2] Learning Outcomes: After successful completion of this course, student will be able to

Understand basics of internet and to develop different web applications. Understand java script and its usage Be able to create simple web pages using HTML and CSS Be able to write simple programs using JavaScript To have hands on experience for HTML using CSS, PHP this will help them to prepare

website and web base application.

Topics Minimum

Hours 1] Introduction to Internet & Internet Programming:

Basics of Internet, Internet programming and its applications Website & its Types with Example Main Objectives and study purpose of HTML,CSS & JavaScript

02

2] Hypertext Markup Language -- HTML Basic: Introduction of HTML Elements of HTML HTML Basic Tags HTML Formatting HTML Entities HTML Links, HTML Images HTML Frames HTML Tables HTML Lists HTML Forms Meta-tags and search engine

05

3] Cascaded Style Sheet – CSS: Introduction to CSS CSS Syntax & How to Insert a Style Sheet CSS Background CSS Text CSS Font CSS Border CSS Margin & Padding CSS List CSS Tables CSS Dimension CSS Pseudo Class CSS Image Opacity

06

4] Basics of Java Script and Advance JavaScript: Introduction to JavaScript How to Insert a JavaScript JavaScript Variable JavaScript Operator JavaScript Conditional Statement

18

JavaScript Popup Boxes JavaScript Function JavaScript Loop Statement JavaScript Break and continue Statement JavaScript Events JavaScript try, catch & throw Statement JavaScript Object JavaScript Form Validation JavaScript Cookies JavaScript Browser JSON

5] Introduction to HTML5 & CSS3 (In Lecture): Introduction to HTML 5.0 and its tags. Introduction to CSS 3.0 and its properties.

02

6] Introduction to Web Design and Development Tool: Design and Deployment of Website. (on Local and real IP)

02

7] Introduction to PHP: PHP Introduction, advantages, drawbacks, comparison with other language,

Installation, PHP Syntax, PHP Variables, String, Printing statements, Operators, If...Else, Switch, Looping, Arrays, Functions, Forms, ways to passing information : $_GET, $_POST etc, Date, Include, File, File Upload, Cookies, Sessions

05

Text Book:

1. Introduction to Internet and HTML scripting By Bhaumik Shroff

Reference Books: 2. Teach yourself HTML in 24 hours

By Techmedia 3. HTML4 BIBLE

By BraynOmdex 4. ABC of JavaScript

By Purcell lee BPB publication 5. Pure java Script

By Gilliam Johnson Techmedia 6. Introduction to web Technology

By Uttam K. Roy 7. Programming PHP

By RasmusLerdorf, Kevin Tatroe& Peter MacIntyre

Web References:

www.w3school.com

www.tutorialspoint.com

2IT304: Object Oriented Programming [3 0 4 3 2]

Learning Outcomes: After successful completion of this course, student will be able to

Understand and describe the basic principles and constructs of object-oriented programming

Understand the significance of object oriented tools and technologies for modular development

Design, develop, execute, debug and validate programs in object oriented programming environment

Topics Minimum

Hours 1] Introduction:

Object Oriented Programming Concepts (Encapsulation, Inheritance & Polymorphism),

Features Of JAVA Language, Types Of JAVA Programs, JAVA Architecture

4

2] Literals, Data Types And Variables: Literals (Integer Literals, Floating Point Literals, Character Literals, String

Literals, Boolean Literals), Data Types (Integer Types, Floating Point Types, Character Type, Boolean

Type), Variables.

1

3] The Structure Of a Java Program: Structure Of a Java Program, Comments, Expressions and Statements, Type Conversion, Block Statements and Scope.

3

4] Operators: Arithmetic Operators, Bitwise Operators, Relational Operators, Boolean

Logical Operators, Ternary Operator, Operator Precedence

1

5] Control Statements: The if...else Statement, The switch Statement, The while Statement, The do...while Statement, The for...Statement, The break Statement, The continue Statement, The comma Statement

2

6] Arrays: One-Dimensional Array, Multi-Dimensional Array

3

7] Classes: Defining a Class, The new Operator and Objects, The dot operator, Method Declaration and Calling, Constructors, Instance Variable Hiding, this in Constructor, Method Overloading, Passing Objects as Parameters to Methods

6

8] Inheritance: Creating Subclasses, Method Overriding, Final Class, Final Variables, Object Destruction and Garbage Collection,

5

Recursion, Static Methods, Block and Variables (Static Class, Static Variables, Static Block), Abstract

Classes. 9] Packages and Interfaces:

Package, The import Statement, Access Modifier, Interfaces (Defining Interfaces, Implementing an Interface)

4

10] Exceptions: Type Of Exceptions, Catching Exceptions (Nested try Blocks, Hierarchy Of

Multiple Catch Blocks), Rethrowing Exceptions, Creating Your Own Exceptions, Broadcasting that a Method Throws Exception, The finally Block, Checked

and Unchecked Exceptions

4

11] Input And Output Classes: I/O Streams, The File Class, Byte Stream (InputStream, OutputStream), Disk File Handling (FileInputStream, FileOutputStream), Memory Handling (ByteArrayInputStream, ByteArrayOutputStream), Filtered Byte Streams (BufferedInputStream, BufferedOutputStream,

DataInputStream, DataOutputStream), SequenceInputStream, ObjectOutputStream, ObjectInputStream, Random Access File, Character Stream(CharArrayReader, CharArrayWriter, InputStreamReader, Output StreamWriter, FileWriter, FileReader,

BufferedReader, BufferedWriter)

2

12] Strings: The String Class( Equality Operator and equals Method, String

Concatenation with +), The StringBuffer Class 3

13] Applets: Applet Basics, Methods of Building an Applet, Some General Methods of

Applet, Displaying Text in Status Bar, Embedding Applet Information, The HTML Applet Tag, Reading Parameters into Applets, Colors in Applet,

Getting Documentbase and Codebase, Interfaces in Applet, Multimedia in Applet (Playing Audio Clips, Images in

Applet, Applet Showing Other HTML Pages)

3

14] Event Handling: Delegation Event Model, Events (The ActionEvent Class, The

AdjustmentEvent Class, The ComponentEvent Class, The ItemEvent Class, The KeyEvent Class, The MouseEvent Class, The TextEvent Class, The WindowEvent Class),

Event Listeners, Registering Listners with Source, Adapter Classes

1

Text Book:

1. Java - The Complete Reference By Herbet Shield, Tata Mc-Graw Hill Publication

Reference Books: 2. Programming with Java – A primer

By E. Balagurasamy, Tata Mc-Graw Hill Publication. 3. Programming in Java2

By Dr. K. Somasundaram, Jaico Books

2IT305: Database Management System-I [3 0 2 3 1] Learning Outcomes: After successful completion of this course, student will be able to

Distinguish between data and information and Knowledge. Distinguish between Traditional file processing system and DBMS. Understand the needs for and uses of database management systems in business Study the physical and logical database designs, database modeling, relational,

hierarchical, and network models. Understand the components of a computerized database information system (application)

like, database languages, users etc Describe data models, schemas and instances. To design a correct, new database information system for a business functional area and

implement the design To understand and use of data manipulation language to query, update, and manage a

database. Describe basic storage, data and file organizations.

Topics Minimum


Database system applications Database Systems versus File Systems View of Data Database Languages Database Users and Administrators Database System Structure

5

2] Relational Data Model: Structure of Relational Databases The Relational Algebra Extended Relational Algebra Operations Modifications of the Database Views The Tuple Relational Calculus The Domain Relational Calculus

6

3] SQL: Background , Basic Structure Set Operations Aggregate Functions Null Values Nested Subqueries , Views, Complex Queries , Modification of Database, Joined Relations Data-Definition Language Other SQL Features Domain Constraint Referential Integrity Authorization

8

4] Database Design & E-R Model : Basic Concepts Constraints, Keys Design Issues Entity Relationship Diagram, Weak Entity Sets,

7

Extended E-R Features Design of an E-R Database Schema Reduction of an E-R Schema to Tables

5] Relational Database Design: Data redundancy and inconsistency Normalization Normal Forms: 1NF, 2NF, 3NF, Functional Dependency Functional Dependencies Decomposition Desirable Properties of Decomposition More Normal Forms: BCNF, 4 NF

8

6] Storage and File Structure : Overview of Physical Storage Media Magnetic Disks, RAID , Tertiary Storage Storage Access , File Organization Organization of Records in Files Data-Dictionary Storage

6

Text Book:

1. Database System Concepts 5th Edition, By Silberschatz, Korth and Sudarshan

Reference Books: 2. An Introduction to Database Systems:7th Edition

By C. J. Date. 3. Practical Book: - SQI, PL/SQL 3rd Edition,

By Ivan Bayross

2HS401: Mathematics for Computer Engineering & Information Technology [4 0 0 4 0]

Learning Outcomes: After successful completion of the course, student will be able to

Express physical phenomenon in mathematical formulation Understand and solve differential equations Basic knowledge of widely used Fourier transform techniques and their applications in

computer and IT Engineering

Topics Minimum

Hours 1] Laplace Transforms:

Definition, Laplace transform of elementary functions. Formulas of Laplace transform, Inverse Laplace transforms. Laplace transform of derivatives, Laplace transform of integration. Multiplication by tn, Division by t, Convolution theorem, Unit step and Heaviside’s unit function, Dirac-delta function. Periodic functions, Solution of ordinary linear differential equations, simultaneous equation with constant co-efficient applied to electrical circuits

10

2] Fourier Series: Definition of periodic function, Euler’s formula, Functions having points of

discontinuity, Change of intervals, Odd and Even functions, Expansion of odd or even periodic functions, Half range sine and cosine series, Elements of harmonic analysis.

10

3] Fourier Transforms: Definition, Fourier integral, Fourier sine and cosine integration, complex

form of Fourier integral, Fourier sine transform, Fourier cosine transform, Inverse Fourier transforms.

04

4] Theory Of Complex Variables: Analytic functions, Cauchy-Riemann equation, Line integral, Cauchy’s

theorem and Cauchy’s integral formula, Simple form of conformal transformation with application of the solution of two-dimensional problems.

08

5] Finite Differences And Difference Equations: Finite differences interpolation, Newton’s and LaGrange’s formula,

Difference equation with constants co-efficient, Solution of ordinary and partial differential equations with boundary conditions by finite difference method.

07

6] Numerical Methods: Roots of algebraic equations, Solution of linear simultaneous equations,

Numerical differentiation and Numerical integration, Numerical methods to solve first order, first degree ordinary differential equations.

09

Text Book:

1. Higher engineering mathematics By B.S.Grewal.

Reference Books: 2. Engineering mathematics

By Srivastava. 3. Textbook of engineering mathematics

By A.B.Mathur and V.P.Jaggi. 4. Theory of functions of complex variables

By Shanti Narayan. 5. Introductory Methods of Numerical Analysis

By S.S.Sastry. 6. Advanced engineering mathematics

By Erwin Kreyzing.

2IT402: Operating System [3 0 2 3 1] Learning Outcomes:

To give the fundamental knowledge of how operating system works, manages the applications that are running.

To give fundamental principles of operating system design and its components To understand process management, memory management including virtual memory,

protection and security management.

Topics Minimum


What is an OS? Evolution Of OS, services, Types of OS, Different view of OS, Basics of memory and architecture

04

2] Process Management: Process, Process Control Block, Process States Threads, Types of Threads, Multithreading

04

3] Inter process Communication: Race Conditions, Critical Section, Mutual Exclusion Hardware Solution, Strict Alternation, Peterson’s Solution The Producer Consumer Problem, Semaphores, Event Counters, Monitors Message Passing and Classical IPC Problems: Reader’s & Writer Problem,

Dinning Philosopher Problem etc., Scheduling, Scheduling Algorithms.

06

4] Deadlock: Deadlock Problem, Deadlock Characterization Deadlock Detection, Deadlockrecovery Deadlock avoidance: Banker’s algorithm for single & multiple resources Deadlock Prevention.

06

5] Memory Management: Paging: Principle Of Operation, Page Allocation, H/W Support For Paging Multiprogramming With Fixed partitions Segmentation Swapping Virtual Memory: Concept, Performance Of Demand Paging, Page

Replacement Algorithms, Thrashing, Locality

11

6] Input Output Management: I/O Devices, Device Controllers, Direct Memory Access Principles Of Input/outputs, Interrupt Handler, Device Driver, Device

Independent I/O Software Disks: RAID levels, Disks Arm Scheduling Algorithm Error Handling

04

7] File Systems: File Naming, File Structure, File Types, File Access, File Attributes, File

Operations, Memory Mapped Files Directories: Hierarchical Directory System, Pathnames, Directory

Operations File System Implementation, Contiguous Allocation, Linked List Allocation,

Linked List Using Index, Inodes, Implementing Directories In C, MS-DOS, and UNIX. Shared Files

04

Disk Space Management File System Reliability File System Performance

8] Case Study: File System of Unix Operating System and Linux, Role Of Kernel

& Function Of Kernel, Design Structure of Unix Operating System, System Calls, Elementary Shell Programming, Directory Structure, System Administration.

04

Text Book:

1. Operating System Concepts ByAviSilberschatz, Peter Baer Galvin, Greg Gagne, Ninth Edition, Wiley

Reference Books:

2. Modern Operating Systems By Andrew S. Tanenbaum, Third Edition PHI

3. Operating Systems, D.M.Dhamdhare, TMH 4. Operating Systems Internals and Design Principles , William Stallings , Seventh Edition,

Prentice Hall 5. Unix System Concepts & Applications, Sumitabha Das, TMH 6. Unix Shell Programming, YashwantKanitkar

By BPB Publications

2IT403: Database Management System- II [3 0 2 3 1] Learning Outcomes:

Enhance the previous knowledge of database systems by deepening the understanding of the theoretical and practical aspects of the database technologies.

Apply the principles of query optimization to a database schema. Understand basic principles of database transaction processing and managing concurrent

execution environment. Explain the various types of locking mechanisms utilized within database management

systems. Explain the different types of database failures as well as the methods used to recover

from these failures Describe various database architectures and distributed database management system. Get familiar with the currently available database processing environment (client –server

model)and query language to build business applications and services Develope practical skills in the use of this model and approach to be able to select and

apply the appropriate methods for a particular. Be able to apply learned skills to solving practical database related tasks This course introduces students to PL/SQL and helps them to understand the benefits of

this powerful programming Language. Students learns to create PL/SQL blocks of application code and are introduced various database objects. They learn about declaring variables, trapping exceptions and they also learn to declare and control cursors. Students learn to develop, execute and manage PL\SQL stored program units like procedures, functions, packages and database triggers.

Topics Minimum

Hours 1] Query Processing & Query Optimization:

Overview Query Evaluation Measure of Query Cost Query Optimization Overview

03

2] Transaction: Transaction concepts Transaction state ACID Property Implementation of Atomicity & Durability Concurrent executions Serializibility Conflict serializability View serializability Recoverability Recoverable schedules Cascade less schedules

07

3] Concurrency control: Lock based protocols

Locks Granting of locks Two phase locking protocol Implementation of locking

08

Graph based protocols Timestamp based protocols

Timestamps Timestamp ordering protocol Thomas’ write rules

Multiple granularity Deadlock handling Deadlock prevention

4] Recovery system: Failure classification Storage structure

Storage type Stable storage implementation Data access

Recovery & atomicity Log based recovery

Deferred database modification Immediate database modification Checkpoints

Shadow paging.

05

5] Database system architecture: Centralized & client server architectures

Centralized systems Client server system

Server system architecture Transaction server process structure Data servers

Parallel systems Speedup & scale up Interconnection networks Parallel database architectures

Shared memory Shared Disk Shared nothing Hierarchical

Distributed systems An example of a distributed database

06

6] Distributed databases: Homogeneous & heterogeneous databases. Distributed data storage

Data replication Data fragmentation Transparency

Distributed transactions System architecture System failure modes

Commit protocols Two phase commit protocol.

Commit protocol Handling of failures

Three phase commit protocol

06

7] PL/SQL: Theoretical Fundamentals

05

Text Book:

1. Database System Concepts5th Edition By, Silberschatz, Korth and Sudarshan Reference Books:

2. An Introduction to Database Systems: 7th Edition By C. J. Date. 3. Practical Book : - SQI, PL/SQL 2nd Edition By Ivan Bayross

2IT404: Data Structures [4 0 4 4 2] Learning Outcomes:

To explain concepts of Data structure such as stack, link list, tree, queue, searching and sorting.

To explain importance and applications of data structures.

Topics Minimum

Hours 1] Overview of C:

Arrays, Functions Strings Structures Pointers

4

2] Introduction to Data Structures: Importance Applications Algorithm & Algorithmic Notation

2

3] Stack: Definition & Concept Operations on Stacks (Push, Pop, Peep, Change -Algorithm &

Implementation). Applications of Stack. Polish expression and Conversions

8

4] Queue: The queue and its sequential representation. Simple Queue, Circular Queue, Double ended Queue, Priority Queue

5

5] Sorting: Elementary sorts: Bubble sort, Quick sort, Selection sort, Insertion sort,

Merge sort, Radix sort Worst case and average behavior

7

6] Searching: Basic search techniques-Sequential searching, Binary Search

2

7] Linked List: Concept. Sequential Allocation method Vs linked Allocation method. Dynamic Data structure Vs Static Data structure. Pointer and Linked Allocation. Singly Linked List Storage Structures & Basic Operations. Circular Linked List Storage Structures & Basic Operations. Doubly Linked List Storage Structures & Basic Operations. Application of Linked List Storage Structures.

12

8] Graph Theory: Definition Graph Representation. Graph Terms Graph Traversal

3

9] Tree: 5

Tree & Graph Binary trees Binary tree representation Binary tree traversals Threaded binary tree Different binary tree Tree applications

Text Book:

1. An Introduction to Data Structures with Application By Jean-Paul Tremblay ,Paul G. Sorenson (second Edition)

Reference Books:

2. Data Structures using C and C++ By Aaron M. Tenenbaum, Moshe J. Augenstein, YedidyahLangsam (Second Edition)

3. Classic Data Structure By D. Samanta

2IT405: Application Development Tools [2 0 4 2 2] Learning Outcomes:

Explain the architecture of .NET Framework.

Explain features of C# using Console Application.

Develop Windows based applicationusing MicrosoftVisual Studio.

Develop ADO.net based database driven .NET application

Develop simple web application.

Topics Minimum

Hours 1] Introduction To .Net Framework:

The Common Language Runtime Compilation in .NET (MSIL and JIT), CTS, CLS Cross language Integration Garbage Collection Assemblies, Name spaces Versioning and deployment Framework class Library

5

2] C# Basics using Console Application: Variables and Constants Data Types, Scope of variables Formatting Data Handling Exceptions Conditions Input Validation Loops,Arrays Functions

7

3] Windows Forms and Controls: Creating Windows Forms, Windows Forms Properties and Events Controls (Properties and Events of Controls):Button, Label, TextBox,

NumericUpDown, CheckBox, RadioButton, DateTimePicker, GroupBox ListBox, ListView, ComboBox, TabControl, PictureBox, ProgressBar ToolTips, RichTextbox, Timer DatagridView

7

4] Working With ADO.NET: Introduction to ADO.NET, ADO.NET Architecture Understanding SqlConnection, SqlCommands, SqlDataReaders DataSet and DataAdapter

5

5] Introduction to ASP.NET: Introduction to ASP.NET, Working with Web and HTMLControls

5

Text Book:

1. Beginning Visual C# Programming By Wrox publication References Books:

2. Professional C# and .NET By Wrox Publication

GANPAT UNIVERSITY

FACULTY OF ENGINEERING & TECHNOLOGY

TEACHING AND EXAMINATION SCHEME Programme Bachelor of Technology Branch/Spec. Information Technology

Semester V

Effective from Academic Year 2016-17 Effective for the batch Admitted in July 2014

Subject Code

Subject Name

Teaching scheme Examination scheme (Marks)

Credit Hours (per week) Theory Practical

Lecture(DT) Practical(Lab.) Lecture(DT) Practical(Lab.) CE SEE Total CE SEE Total L TU Total P TW Total L TU Total P TW Total

2IT501

Object Oriented Analysis and Design

3 0 3 1 - 1 3 0 3 2 - 2 40 60 100 30 20 50

2IT502 Design and Analysis of Algorithms

3 0 3 1 - 1 3 0 3 2 - 2 40 60 100 30 20 50

2IT503 Computer System Architecture

3 0 3 1 - 1 3 0 3 2 - 2 40 60 100 30 20 50

2IT504 Computer Networks

4 0 4 1 - 1 4 0 4 2 - 2 40 60 100 30 20 50

2IT505 Seminar 0 0 0 1 - 1 0 0 0 2 - 2 - - - 30 20 50

2IT5E* Elective I 3 0 3 1 - 1 3 0 3 2 - 2 40 60 100 30 20 50

2HS501 Aptitude Skill Building - I

0 0 0 1 - 1 0 0 0 2 - 2 - - - 30 20 50

Total 16 0 16 7 - 7 16 0 16 14 - 14 200 300 500 210 140 350

NOTE: * indicates any number from the following set of subjects in given order

Elective I

2IT506 : Advance Java

2IT507 : Web Technology

GANPAT UNIVERSITY

FACULTY OF ENGINEERING & TECHNOLOGY Programme Bachelor of Technology Branch/Spec. Information Technology

Semester V Version 2.0.0.0


Subject code 2IT501 Subject Name Object Oriented Analysis and Design


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

L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100

Hours 3 0 2 - 5 Practical 30 20 50

Pre-requisites:

Object Oriented Programming

Learning Outcome:

After successful completion of this course, student will be able to demonstrate the importance of modelling in the software development life cycle. become familiar with the Unified modelling Language. understand the object-oriented approach to analysing and designing systems and software solutions. employ the Unified modelling Language notations to create effective and efficient system designs. understand the difference between writing programs for the software and doing analysis and design.

Problem formulation and decomposition (analysis) and solution building (design) will be covered.

Theory syllabus

Unit Content Hrs

1

Introduction to OOAD and UML: Overview of Software Development Life Cycle (Waterfall Model), Introduction to Object Oriented analysis and design, overview of model with types and UML, UML structure: building blocks and architecture, Overview of static and dynamic UML diagrams

03

2

Use case Model: Introduction to use case diagram, Elements of use case diagram with notations: association/uses, include, extend, generalization

05

3

Class & Object Model: Basics of object oriented concepts, Introduction to class and object diagram, identify the elements based on noun phrase method, Elements of class diagram with notations: object, class, link, association, multiplicity, link attributes, association end names, association classes, qualified association, association ends, N-ray association, aggregation and composition, generalization, abstract class

10

4

Sequence & Collaboration Model : Introduction to Sequence & Collaboration diagram, Elements, Elements of sequence diagram Collaboration diagram with notations: object, messages, activation, lifeline, destroying objects, guard condition

06

5

Activity and Swim lane Model: Introduction to Activity and Swim lane diagram, Elements, Elements of Activity and Swim lane diagram with notations: initial state or start point, activity or action state, action flow, decisions and branching, guard condition, Synchronization (fork and join), time event, merge event, swim lanes, final state or end point

06

6 State Model: Introduction to State Diagram, Event ,Change Event, Signal Event, Call Event, Time Event , States, Transition & Conditions, Transition, Guard Condition, Action, State Diagrams, One shot

08

State Diagram, Creating State Diagram ,State Diagram Behaviour, Activity, Do-activity, Entry Activity, Exit Activity, Nested State Diagram, Nested States, Signal Generalization, Concurrency

7

Component and Deployment Model: Introduction to Component and deployment Diagram, Elements of Component and deployment Diagram

01

8 Forward & Reverse Engineering: Introduction to Forward & Reverse Engineering using UML

01

Practical content

Experiments/Practicals/Simulations would be carried out based on syllabus

Text Books

1 Object Oriented Modelling and Design with UML: by J. Rambaugh, et al., Second Edition Pearson

Reference Books

1 Magnifying object-oriented analysis and design by Arpita Patil and Netra, PHI

2 UML 2 and the Unified Process: Practical Object-Oriented Analysis and Design by Jim Arlow / Ila Neustadt

3 The UML Users guide by Grady Booch, J. Rambaugh, Ivar Jacobson, Pearson Education

4 Object Oriented System Development by Ali Bahrami, McGraw Hill

http://www.pearson.ch/autor/35795/Jim-Arlow.aspx

http://www.pearson.ch/autor/35796/Ila-Neustadt.aspx

http://www.pearson.ch/autor/35796/Ila-Neustadt.aspx

GANPAT UNIVERSITY




Subject code 2IT502 Subject Name Design and Analysis of Algorithms



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Data Structures

Learning Outcome:

After successful completion of this course, student will be able to decide best algorithm out of various alternatives. analyse the performance of the algorithms for the best, average and worst case. find out the time and space requirements for various algorithms and represent it using various

mathematical notations. understand and derive the recurrence relationship for algorithms. develop various algorithms for the same problem using different design paradigms. understand the different classes of the problems.

Theory syllabus

Unit Content Hrs

1

Introduction: Definition and characteristics of an algorithm, problems & instances, best, average and worst case analysis, need to look for efficiency

03

2

Analysis of Algorithms: Performance analysis (time & space complexity), Growth of functions, asymptotic notations (Big-oh, Omega and Theta), Sorting Algorithms and analysis (Bubble sort, Selection sort, Insertion sort), Sorting in linear time : Radix sort and Counting sort

08

3

Solving Recurrences: Iteration method, homogeneous recurrences, inhomogeneous recurrences, change of variable, recurrence trees, master method & master theorem

08

4

Divide and Conquer: Characteristics, the general template, applications: binary search, merge sort, quick sort, randomized quick sort, counting inversions, min-max problem

06

5

Graph Algorithms: Depth-first search, breadth-first search, topological ordering & sorting, backtracking, applications of backtracking, knapsack problem, branch & bound, application: the assignment problem

04

6

Greedy Algorithms: General characteristics of greedy algorithms and examples, applications: making change problem, Kruskal’s and Prim’s algorithms, shortest path problem, knapsack problem, scheduling problem

05

7

Dynamic Programming: General characteristics and examples, principle of optimality, applications: binomial coefficients, making change, knapsack problem, chained matrix multiplication

05

8

Computational Complexity: Introduction, information-theoretic arguments: complexity and sorting, complexity and algorithmic, introduction to NP completeness, the classes P and NP, polynomial reductions, NP complete problems

03

Practical content


Text Books

1 Introduction to Algorithms by Cormen, Leiserson, Rivest, Prentice Hall of India

Reference Books

1 Fundamentals of Algorithms by Brassard & Bratley, Prentice Hall of India

2 Ellis Horowitz, Sartaj Sahni, Fundamentals of computer algorithms, Computer Science Press

GANPAT UNIVERSITY




Subject code 2IT503 Subject Name Computer System Architecture



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Computer System Organization

Learning Outcome:

After successful completion of this course, student will be able to understand the organization of a Computer system. apply the knowledge of combinational and sequential logical circuits to design computer architecture. understand the input / output and Memory related concepts.

Theory syllabus

Unit Content Hrs

1

Basic computer organization and design: Instruction codes, Computer registers, computer instructions, Timing and Control, Instruction cycle, Memory-Reference Instructions, Input-output and interrupt, Complete computer description, Design of Basic computer, design of Accumulator Unit

06

2 Micro programmed control: Control Memory, Address sequencing, Microprogram Example, design of control Unit 05

3

Central processing unit: Introduction, General Register Organization, Stack Organization, Instruction format, data transfer and manipulation, Program Control, Reduced Instruction Set Computer (RISC)

05

4

Pipeline and vector processing: Parallel Processing, Pipelining, Arithmetic Pipeline, Instruction, Pipeline, RISC Pipeline, Vector Processing, Array Processors

05

5

Input – Output organization: Input-output interface, Asynchronous Data Transfer, Modes of Transfer, Priority Interrupt, DMA, Input-Output Processor (IOP), CPUIOP communication, Serial Communication

07

6

Memory organization: Memory Sub System, Memory hierarchy, Main memory, Auxiliary memory, Flash memory, Associative memory, Cache memory, Virtual memory, Memory management hardware

06

7

Multiprocessors: Characteristics of Multiprocessors, Interconnection Structures, Interprocessor Arbitration, Interprocessor Communication and Synchronization, Interprocessor Synchronization, Mutual Exclusion with a Semaphore , Cache Coherence Problem

06

Practical content


Text Books

1 Computer System Architecture: By M. MorrisMano, Pearson Publlication

Reference Books

1 Structured Computer Organization: By Tanenbaum, PHI Publication

2 Computer Organization and Architecture By Stallings, Pearson Publication

3 Computer Organization and Design by P. Pal Chaudhury, PHI Publication

4 Computer Architecture and Organization By Hayes, Tata McGraw Hill

GANPAT UNIVERSITY




Subject code 2IT504 Subject Name Computer Networks



L TU P TW

Credit 4 0 1 - 5 Theory 40 60 100


Pre-requisites:

Operating System

Learning Outcome:

After successful completion of this course, student will be able to describe and analyse the hardware, software, components of a network and the interrelations. explain networking protocols and their hierarchical relationship hardware and software, compare

protocol models and select appropriate protocols for a particular design. manage multiple operating systems, systems software, network services and security, evaluate and

compare systems software and emerging technologies. develop solutions for networking and security problems, balancing business concerns, technical issues

and security. explain concepts and theories of networking and apply them to various situations, classifying

networks, analysing performance and implementing new technologies.

Theory syllabus

Unit Content Hrs

1

Overview: Basics of Computer Networks, Network Hardware, Network software, Uses of computer networks, Network categories: LAN, MAN, WAN, Examples of Networks and Protocols, Reference Models: OSI, TCP/IP

06

2

The Physical Layer: Transmission Media: magnetic media, twisted pair, baseband & broadband, fiber optics. Wireless Transmission: radio, microwave, infrared & light wave. Narrowband ISDN, Broadband ISDN & ATM. Cellular Radio: Paging systems, cordless telephones, analog & digital telephones

10

3

Data Link Layer: Design Issues: Services Provided to Network Layer, Framing, Error Control, Flow Control, Error Detecting Codes, Error-Correcting Codes, Stop and Wait Protocol, Go Back n Protocol, Selective Repeat Protocol, Ethernet, Wifi, Medium Access: Multiple Access Protocols, ALOHA, CSMA/CD, Collision Free Protocols, Wide Area Networks: Circuit Switching & Packet Switching, Switching Networks, Packet Switching Principles

14

4

Network Layer: Design Issues, Introduction to Routing, Virtual Circuits, Connectionless Internetworking, Fragmentation, IP Addressing Scheme, IP, Sub networking, IPv6. ARP, RARP, Routing Algorithms, Congestion Control Mechanisms

10

5

Transport Layer: Process to Process Delivery, Client-server Paradigm, Addressing, Multiplexing and De multiplexing, establishing a Connection, Releasing a Connection, UDP, TCP: Service Model, Connection Management, Silly Window Syndrome, Performance Issues

10

6 Application Layer: Introduction to Application layer protocols, DNS, SMTP, E-mail, SMTP 06

Practical content


Text Books

1 Data Communication & Networking: By Behrouz A. Forouzan. Tata McGraw Hill.

2 Computer Networks By Andrew S. Tanenbaum. Prentice Hall India.

Reference Books

1 Computer Networks: A Top Down Approach, By Behrouz A. Forouzan. Tata McGraw Hill

2 Data & Computer Communications: By William Stallings. Prentice Hall India.

GANPAT UNIVERSITY




Subject code 2IT505 Subject Name Seminar



L TU P TW

Credit 0 0 1 - 1 Theory - - -


Pre-requisites:

Communication Skills

Learning Outcome:

After successful completion of this course, student will be able to

build their presentation skills on emerging topics of computer engineering and information technology

Theory syllabus

-

Practical content

Unit Content Hrs

1 Students have to choose seminar topic from recent trends and technology and at the end of semester they have to give presentation 26

GANPAT UNIVERSITY




Subject code 2IT506 Subject Name Advance Java



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:


Learning Outcome:

After successful completion of this course, student will be able to develop event driven programs using graphical user interface components. develop database driven java programs using JDBC. develop web applications using Servlets, Java Server Pages and JDBC. develop enterprise applications using Enterprise Java Beans.

develop web applications using framework.

Theory syllabus

Unit Content Hrs

1

Introduction to Java EE Platform and Architecture: Java EE Platform, Enterprise Application and Architecture, Java EE Containers and Components, Java EE Technologies, Java EE Application Deployment

03

2

Java Database Connectivity (JDBC): Introduction, JDBC Architecture: API and Drivers, Types of JDBC Statements, Types of Result sets, Batch Processing, Transactions, JDBC Exception Types, Metadata

06

3

Swing Programming: Introduction, limitations of AWT, Swing Components and Containers, Look and Feel for Swing Components, MVC Architecture

04

4

Servlet: Introduction, Servlet API and Interface, Generic Servlet, HTTP Servlet, Servlet Lifecycle, Servlet Container, Servlet Request, Servlet Collaboration, Servlet Context, Session Management

06

5

JSP: Introduction, Advantages of JSP, Working and Lifecycles of JSP, Directives, Scripting elements, Action Elements, Implicit Objects, Java Beans, Various scope in JSP, JSTL

06

6 JavaMail: Overview, Mail protocols, JavaMail API, JavaMail Exception, Sending and Receiving Messages 02

7 Enterprise Java Beans (EJB): Introduction to EJB, Entity Beans, Session Beans, Message driven Beans 04

8 JPA: Introduction, Entities, Entity Relationships, JPA - ORM Components, Entity Manager 04

9

Hibernate: Introduction, Hibernate Architecture, Hibernate Mapping Types, Hibernate Configuration, Hibernate Sessions, Persistent Class & Mapping Files, Hibernate O/R Mapping, Hibernate Annotations, Hibernate Query Language

06

Practical content


Text Books

1 J2EE Unleashed by Joseph J. Bambara, BPB publications

2 Java Server Programming Java EE5 Black Book, Dreamtech Press

Reference Books

1 Professional Java Server Programming Volume I and II, Wrox Publication

2 The complete Reference J2EE by Jim Keogh, Mcgraw Hill Education Pvt. Ltd

3 Head first Servlets and JSPs, by Bryan Basham, Kathy Sierra, Bert Bates, O’Rilley Media

4 Professional Java Server Programming: J2EE 1.4 edition by Allamaraju, Shroff Publication

http://www.amazon.in/s/ref=dp_byline_sr_book_1?ie=UTF8&field-author=Jim+Keogh&search-alias=stripbooks

GANPAT UNIVERSITY




Subject code 2IT507 Subject Name Web Technology



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Internet Programming

Learning Outcome:


demystify programming, enjoy python scripting.

explore object-oriented programming.

discover python document programming.

interact websites and load data from them (web Scripting).

manage SQL and NoSQL databases with python.

explore test and debug python GUI based Program.

Theory syllabus

Unit Content Hrs

1

Introduction: Why Python? Python Concepts, Dynamic vs. Static Types, Procedural vs. Object-Oriented Programming, Comparing Programming Languages: C,C++,JAVA, C#, Python, Python Interpreter

06

2

Programming with Python: Launching Python programs, Types and Operators, Python Syntax ,Indentation, Multiple Line Spanning, Python Object Types, Python Numbers ,Strings and string operations, Regular expressions Lists, Conditional statements, Loops, pass statements, break-continue, try-catch-finally-raise statements

10

3 Dictionaries and Tuples: Concept of dictionary and basic operations, Use of Tuples, Sequence unpacking 04

4

File handling: Files, File Operations, Files and Streams, Creating a File ,Reading From a File, Iterating Through Files, Writing file

06

5 Object oriented programming with python: Learning Python Classes, Inheritance, Operator Overloads, Class Methods 07

6 Working with Databases: Working With a Databases, Using SQL to Query a Database, Python and SQLite, Creating an SQLite Database, Pulling Data from a DB

07

Practical content


Text Books

1 Learning program to Python by Cody Jackson 2nd edition

Reference Books

1 Beginning Python by James Payne, Wrox Publication

2 Beginning Python by Magnus Lie Hetland, Apress Publication

GANPAT UNIVERSITY




Subject code 2HS501 Subject Name Aptitude Skill Building - I



L TU P TW



Pre-requisites:

Basic Understanding of Mathematics

Learning Outcome:

On successful completion of the course the students will be able to:

acquire satisfactory competency in use of two basic skills (Quantitative Ability and Logical Reasoning).

solve campus placements aptitude papers covering Quantitative Ability and Logical Reasoning.

Theory syllabus

-

Practical content

Unit Content Hrs

1

Arithmetic Aptitude: Problems on Trains, Time and Distance, Height and Distance, Time and Work, Simple Interest, Compound Interest, Profit and Loss, Partnership, Percentage, Problems on Ages, Calendar, Clock, Average, Area, Volume and Surface Area, Permutation and Combination, Numbers, Problems on Numbers, Problems on H.C.F and L.C.M, Decimal Fraction

06

2 Data Interpretation: Table Charts, Bar Charts 02

3 Logical Reasoning: Number Series, Letter and Symbol Series, Verbal Classification, Analogies, Artificial Language, Matching Definitions, Making Judgments, Verbal Reasoning, Logical Problems, Logical Games

03

4

Verbal Reasoning: Logical Sequence of Words, Blood Relation Test, Syllogism, Series Completion, Cause and Effect, Dice, Venn Diagrams, Cube and Cuboid, Analogy

03

5 Presentation skill: Preparing a Presentation, Organizing the Presentation Material, Writing Your Presentation, Working with Visual Aids, Presenting Data, Managing the Event, Dealing with Questions

12

Text Books

1 Quantitative Aptitude: By R. S. Aggarwal. S. Chand Publishers

Reference Books

1 A Modern Approach to Logical Reasoning: By R. S. Aggarwal. S. Chand Publishers

2 A Modern Approach To Verbal And Non-Verbal Reasoning: By R. S. Aggarwal. S. Chand Publishers

3 An Advanced Approach To Data Interpretation: By Dr. R. S. Aggarwal. S. Chand Publishers

GANPAT UNIVERSITY



Semester VI

Effective from Academic Year 2016-17

Effective for the batch Admitted in July 2014

Subject Code

Subject Name



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

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

2IT601 Theory of Computation

3 0 3 1 - 1 3 0 3 2 - 2 40 60 100 30 20 50

2IT602 Software Engineering

3 0 3 1 - 1 3 0 3 2 - 2 40 60 100 30 20 50

2IT603 Information System Security

3 0 3 1 - 1 3 0 3 2 - 2 40 60 100 30 20 50

2IT604 Application Development Lab

0 0 0 1 - 1 0 0 0 2 - 2 - - - 30 20 50

2IT6E* Elective II 3 0 3 1 - 1 3 0 3 2 - 2 40 60 100 30 20 50

2IT6E* Elective III 3 0 3 1 - 1 3 0 3 2 - 2 40 60 100 30 20 50

2HS601 Aptitude Skill Building – II

0 0 0 1 - 1 0 0 0 2 - 2 - - - 30 20 50

Total 15 0 15 7 - 7 15 0 15 14 - 14 200 300 500 210 140 350

NOTE: * indicates any number from the following set of subjects in given order

Elective II Elective III

2IT605 : Mobile Application Development 2IT607 : Network Programming

2IT606 : IT Industry Management 2IT608 : Computer Graphics

2IT609 : Cloud Computing

GANPAT UNIVERSITY


Semester VI Version 2.0.0.0


Subject code 2IT601 Subject Name Theory of Computation



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Basic Understanding of Mathematics

Learning Outcome:

After successful completion of this course, student will be able to demonstrate advanced knowledge of formal computation and its relationship to languages. distinguish different computing languages and classify their respective types. recognize and comprehend formal reasoning about languages. show a competent understanding of the basic concepts of complexity theory.

Theory syllabus

Unit Content Hrs

1

Review of Mathematical Background: Sets, Functions, Logical statements, Proofs, Relations, Languages, The Principal of Mathematical induction, the strong principle of Mathematical induction, Recursive definitions, Structural Induction

06

2

Regular Languages And Finite Automata: Regular expressions, Regular languages, Memory required to recognize a language, Finite automata, Distinguishable strings, Union, intersection and complement of regular languages

08

3

Nondeterminism And Kleen’s Theorem: Non-deterministic finite automata, Non deterministic finite automata with ^ transitions, Kleen's theorem

05

4

Regular And Non Regular Language: Minimization of Finite automata, Non-regular and regular languages, Pumping Lemma, Decision problems and decision algorithms, Regular languages in relation to programming languages.

07

5

Context-Free Languages and Push-Down Automata: Context-free languages, Regular Grammars, Derivation tree and ambiguity, An Unambiguous CFG , Simplified and Normal forms, Chomsky normal form

07

6

Pushdown Automata and CFL: Push -Down Automata, Definition and examples, Deterministic PDA, Types of acceptances and their equivalence, Equivalence of CFG and PDA, Introduction to parsing, Top-down and bottom up parsing, Non-CFL and CFL, Pumping Lemma for CFL, Intersection and Complement of CFL

06

7

Turing Machine: Models of computation, TM definition, Combining TMs, Computing a function with TMs. Variations on Turing Machines, Doubly infinite and more than one Tapes, Non-deterministic and Universal TM

05

Practical content


Text Books

1 Introduction to Languages and Theory of Computation: By John C. Martin

Reference Books

1 Computation: Finite and Infinite: By Marvin L. Minsky, Prentice-Hall, 1967

2 Introduction to formal languages: By G. E. Reevsz, Mc-graw hill.

3 Formal language theory: By M. H. Harrison

GANPAT UNIVERSITY




Subject code 2IT602 Subject Name Software Engineering



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Object Oriented Analysis & Design

Learning Outcome:


understand lifecycle for software development.

analyze the requirements systematically and develop the model using Unified Modeling language.

develop a quality software product through effective team-building, planning, scheduling and risk assessment.

Theory syllabus

Unit Content Hrs

1

Introduction to Software and Software Engineering: FAQ about Software Engineering ,Software characteristics ,The Changing Nature of Software, Software Myths

02

2

Process Models (Software Development Life Cycle): What is Software Process?, What is Software Development Life Cycle (SDLC)?,Prescriptive models, The water fall model (classical life cycle model), Incremental Process model, Evolutionary process model, The unified process

04

3

Building the Analysis Model: Requirement Analysis, Analysis Modeling Approaches, Data Modeling Concepts, Object Oriented Analysis, Scenario Based Modeling, Class Based Modeling, Crating a Behavioral Model, Flow Oriented Modeling Entity Relationship Diagram (E-R Diagram)

04

4 Requirements Analysis and Specification or Requirement Engineering : Requirement Engineering ,Requirement Elicitation, Requirement Analysis, Requirement Documentation (SRS) ,Requirement Gathering and Analysis, Software Requirement Engineering

04

5

Software Project Management: Introduction, Responsibility of Software Project Manager, Project Planning Activities, Project planning, SPMP Document, Metrics for Project Size Estimation ,Project Estimation Techniques, Scheduling

06

6

Coding and Testing: Coding Standards and Guidelines, Coding Review, What is Testing, Error- Faults-Failures ,Test cases, Test suites, Verification versus Validation, Design of Test Cases, Alpha and Beta Testing, Testing in Small and Testing in Large, Black Box Testing, White Box Testing (Structural Testing),Integration testing, System Testing

06

7 Software Design: Design Framework, Conceptual Design and Technical Design ,Quality Attributes (FURPS) (Hewlett – Packard),Modularity, Strategy of Design, Function Oriented Design, Object Oriented

04

Design Approach (OOD)

8

Unified Modeling Language (UML): Overview of object oriented concepts, Advantage of OOD, Unified modeling language (UML), UML diagrams, Use Case Diagram, Class Diagram, Sequence, collaboration Diagram, Activity Diagram, State chart Diagram

02

9 Function oriented software design: Overview of SA/SD methodology Structured analysis, Data flow diagrams(DFDs),Structure design

04

10 Architectural design: Software architecture, Data design, Architectural styles and patterns, Architectural design 04

Practical content


Text Books

1 Software engineering a practitioner’s approach (7th edition) by Roger S. Pressman

Reference Books

1 Software Engineering (8th edition) by Sommerville

2 Fundamentals of Software Engineering (4th edition) by Rajib Mall

3 Fundamentals of Software Engineering (3rd edition) by K.K.Agrawal

4 Object – Oriented Modeling and Design with UML (2nd edition) by Rumbaugh, Blaha

GANPAT UNIVERSITY




Subject code 2IT603 Subject Name Information System Security



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Computer Networks

Learning Outcome:


list and briefly describe security risks and mitigation strategies for an organization that is about to connect its network to the Internet and communicate with other companies via email.

explain the differences between the three major goals of information security: confidentiality, integrity and availability, and can list and explain one technique for ensuring each.

explain how public key cryptography can be used to ensure the identity of the sender of an encrypted message.

Theory syllabus

Unit Content Hrs

1 Introduction: Security goals, attacks, Security services, security mechanisms

04

2 Cryptographic Mathematics: Modular arithmetic, linear congruence, Algebraic structure, checking of primeness, primality testing, Chinese remainder theorem, quadratic congruence

07

3 Classical Ciphers: Symmetric cipher model, substitution ciphers, transposition ciphers, steganography 06

4

Modern symmetric key ciphers: Modern block ciphers, modern stream ciphers, Data Encryption standard, advanced encryption standard, Electronic code book mode, CBC, cipher feedback mode, output feedback mode

07

5 Public key cryptography: RSA, RSA proof, RSA attacks, Rabin cryptosystem, Key management: Diffie Hellman 05

6

Message Authentication and Hash functions: Authentication requirements, functions, Message authentication codes (MAC), Hash functions, security of Hash functions

05

7 Hash algorithms: SHA- 512

03

8 Digital Signatures: Basics, digital signature standards 03

9 IP Security:

02

Practical content


Text Books

1 William Stallings: “Cryptography and Network Security – Principles and Practice”, 4/E, Pearson Education, 2005.

Reference Books

1 Bruce Scheneir: “Applied Cryptography”, 2/E, John Wiley, 1996

2 Behrouz Forouzan: “Cryptography & Network Security”, 1/E, TMH, 2007.

GANPAT UNIVERSITY




Subject code 2IT604 Subject Name Application Development Lab



L TU P TW



Pre-requisites:

Understanding of Tools & Technology and Database Management System

Learning Outcome:


develop an application using different technology

learn how to work in a team.

think and apply new ideas in developing an application.

Theory syllabus

-

Practical content

Unit Content Hrs

1

Students have to carry out an application development work under the guidance of faculty member using the knowledge of subjects that he/she has learned up to 6th semester. Students have to submit a report with code at the end of the semester

26

GANPAT UNIVERSITY




Subject code 2IT605 Subject Name Mobile Application Development



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:


Learning Outcome:


describe android and understand different versions of android.

explain concepts and theories of android’s various components and apply them to various situations in android application development.

work with Database, Google map, Menus etc.

Theory syllabus

Unit Content Hrs

1 Introduction to Android: History of Mobile Software Development, Open Handset Alliance, What is an Android, Difference between I-phone OS (apple) and Android OS, Define term HTML,XML and WML

03

2 Setting Up Your Android Development Environment: Configuring Your Development Environment, Difference between JVM and DVM, Android platform Architecture, Advantage of DVM over JVM, Android Emulator

02

3

Building your first Android Application: Creating and Configuring a New Android Project, Core Files and Directories of the Android Application, Creating an AVD for Your Project, Creating Launch Configurations for Your Project, Running Your Android Application in the Emulator, Debugging Your Android Application in the Emulator, Adding Logging Support to Your Android Application, Adding Some Media Support to Your Application, Adding Location-Based Services to Your Application, Debugging Your Application on the Hardware

02

4 Understanding the Anatomy of an Android Application: What is the meaning of an Anatomy? , Explain the activity with their states? , What are the methods used in android activity life cycle? , Explain the Android activity life cycle

03

5

Defining your Application using the Android Manifest file: Core files and Directories of the Android Application, What are the contents of the Android Manifest file? , How to edit the Android manifest file?, Registering Activities and Other in Application

03

6

Managing Application Resources: What Are Resources?, Storing Application Resources , Understanding the, Resource Directory Hierarchy, Resource Value Types, Setting Simple Resource Values Using Eclipse, Working with String, String Arrays, Boolean, Integer, Colors, Dimensions, Drawables, Images resources etc…, Working with Layouts, Using Layout Resources Programmatically

04

7 Exploring User Interface Screen Elements: Introducing the Android View, Android Control, Android Layout, Displaying Text to Users with TextView, Configuring Layout and Sizing, Using Buttons, Check Boxes, Radio Groups, spinner,

03

ProgressBar etc.

8 Designing User Interfaces with Layouts: Creating User Interfaces in Android, Creating Layouts Using XML Resources and Programmatically, Scrollview, GridView, ListView, Spinner etc.

02

9 Drawing and Working with Animation: Design Working with Canvases and Paints, Drawing Ovals and Circles, Frame by frame & tween animation etc.

03

10 Explore Data Storage Techniques: Working with SharedPreferences, What is SQLite, features of SQLite, store data in SQLite 03

11 Explore Google Map: Feature of Google map, version of Google map APIs, integration of google map in android application

02

12 Working with other components: Use of TimePicker & DatePicker, Different Dialogboxs, Option menu & context menu, Send/read SMS, JSON & Application with JSON

03

13 IPhone OS: Introduction to iPhone Architecture, Essential COCOA Touch Classes, Interface Builder, Nib File, COCOA and MVC Framework, Overview of features of latest ios

06

Practical content


Text Books

1 Android Wireless Application Development, second edition by Shane Conder & Lauren Darcey. Pearson

Reference Books

1 Android Application Development (with Kitkat Support), Black Book by Pradeep Kothari-Dreamtech

2 Head First Android Development by Dawn Griffiths and David Griffiths- O'Reilly

3 Android Programming: The Big Nerd Ranch Guide, 2/e by Bill Phillips, Chris Stewart, Brian Hardy, Kristin Marsicano - Big Nerd Ranch Guides

4 Android Application Development in 24 Hours, 4/e by Carmen Delessio, Lauren Darcey, Shane Conder - Sams Teach Yourself

5 iPhone In Action, by Christopher Allen, Shannon Appelcline.

GANPAT UNIVERSITY




Subject code 2IT606 Subject Name IT Industry Management



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Basics of Technology Trends in IT

Learning Outcome:

After successful completion of this course, student will be able to:

understand and analyze various components of IT Infrastructure and emerging technologies used in business.

analyze how to develop and coordinate IT systems strategies, plans and management initiatives within small, medium and large corporate enterprises.

analyze the performance and operational excellence in business.

Study concerns in business like ethics, security, finance in corporate IT systems.

Theory syllabus

Unit Content Hrs

1

IT Infrastructure and Emerging Technologies: IT Infrastructure and Platform Trends, The Emerging Mobile Digital Platform, Contemporary, Software Platform, Mashups and Widgets, Software Outsourcing and Cloud Services, Management Issues , Trends like Big Data, Cloud Computing and Services

08

2

Foundations of Business Intelligence: Databases and Information Management: Organizing Data in a Traditional File and the Database Approach to Data Management Using Databases to Improve Business Performance and Decision Making: Data Warehouses, Tools for Business Intelligence, Multidimensional Data Analysis, and Data Mining Establishing an Information Policy, Ensuring Data Quality

05

3

Securing Information Systems: System Vulnerability and Abuse, Business Value of Security and Control: Information Protection Laws in the Arab World, Electronic Evidence and Computer Forensics. Establishing a Framework for Security and Control, Technologies and Tools for Protecting Information Resources

06

4

Achieving Operational Excellence: Enterprise Systems: What Are Enterprise Systems? , Enterprise Software Business Value of Enterprise Systems, Lifecycle, Cost Estimation, Benefits Realization. Enterprise Applications: New Opportunities and Challenges ,Enterprise Application Challenges

04

5

Managing Information Systems Projects: The Importance of Project Management: Runaway Projects and System Failure, Project Management Objectives, Selecting Projects: Management Structure for Information Systems Projects, Establishing the Business Value of Information and Managing Project Risk Change Management and Configuration Management

04

6

Managing Global Systems: The Growth of International Information Systems: Developing an International Information Systems Architecture, the Global Environment: Business Drivers and Challenges, State of the Art. Organizing International Information Systems Managing Global Systems, Technology Issues

04

and Opportunities for Global Value Chains

7

Performance and Tuning: Introduction, Perceived performance, Determining performance during design, Using vector experience, Prototyping, Managing bottlenecks, Using benchmarks, Performing performance tests, Sources of performance matrix, Kernel counters, SNMP counters, Logging. Performance and Tuning applied to major resources: Servers, Disk Storage, Database and Network

04

8 IT Ethics, Legislation and Outsourcing : Introduction ,Legislation act and outsourcing and Integrating System Management Processes 04

Practical content


Text Books

1 Rich Schiesser, IT Systems Management, Prentice hall

Reference Books

1 Ken Laudon,Jane Laudon and Rajanish Dass, Management Information System, Pearson Pub

2 Sjaak Laan, It Infrastructure Architecture - Infrastructure Building Blocks and Concepts , Lulu press Inc

3 Prof Phalguni Gupta, Mr. Surya Prakash, Umarani Jayaraman IT Infrastructure and its Management Paperback, Tata Mac graw hill education pvt ltd

4 Bill Holtsnider,Brian D. Jaffe ,IT Manager's Handbook,: Getting your new job doneMorgan Kaufmann publishers

5 Ross J. Anderson, Security Engineering: A Guide to Building Dependable Distributed Systems,Wiley

GANPAT UNIVERSITY




Subject code 2IT607 Subject Name Network Programming



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Computer Networks

Learning Outcome:


demonstrate advanced knowledge of networking.

make use of various solutions to perform inter-process communications.

demonstrate knowledge of protocols and languages used in Web and multimedia delivery.

demonstrate advanced knowledge of programming for network communications.

describe major technologies used in network communications

Theory syllabus

Unit Content Hrs

1 Introduction: The OSI Model and the TCP/IP Protocol Suite, Underlying Technologies

03

2

IP Addresses: Classful Addressing, Classless Addressing, Delivery, Forwarding, and Routing of IP Packets, ARP and RARP, Internet Protocol (IP), Internet Control Message Protocol (ICMP), Internet Group Management Protocol (IGMP), User Datagram Protocol (UDP), Transmission Control Protocol (TCP), Stream Control Transmission Protocol (SCTP)

06

3 Unicast Routing Protocols: RIP, OSPF, and BGP 05

4 Multicasting and Multicast Routing Protocols, Host Configuration: BOOTP and DHCP 04

5 Domain Name System (DNS): 02

6 Remote Login: TELNET

03

7 File Transfer: FTP and TFTP 04

8 Electronic Mail: SMTP, POP, and IMAP 06

9 Network Management: SNMP 05

10 World Wide Web: HTTP 04

Practical content


Text Books

1 TCP/IP Protocol Suite, 3/e By Behrouz Forouzan, Tata-mc-graw hill.

Reference Books

1 TCP/IP Illustrated, Volume I By W. Richard Stevens, Low Price Edition

2 Internetworking with tcp/ip: principles, protocols, and architecture vol. I By comer, douglas

GANPAT UNIVERSITY




Subject code 2IT608 Subject Name Computer Graphics



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Computer Programming

Learning Outcome:


know application of Computer Graphics in various fields.

use the underlying algorithms, mathematical concepts, supporting computer graphics and fill the color inside the object.

explain about how picture is display and produce color picture on the display device.

able to apply 2D – 3D alteration on the objects and perform clipping on object.

Theory syllabus

Unit Content Hrs

1 Introduction: What is Computer Graphics? Application of Computer Graphics 01

2 Overview of Graphics System: Video Display Devices, Raster Scan System, Random Scan System 03

3 Output Primitives: Points and Lines, DDA Algorithm, Bresenham’s Line Algorithm, Midpoint Circle Algorithm, Midpoint Ellipse Algorithm, Boundary fill algorithm, Flood fill algorithm

07

4

2 D Geometric Transformations: Basic Transformations, Matrix Representation and Homogeneous Coordinates, Composite Transformation, Reflection, Shear, Transformation between Coordinate System, Raster Methods for Transformation

08

5 D Viewing: Window-to-View port Coordinate Transformation, Line Clipping Algorithms, Curve Clipping Text Clipping, Exterior Clipping

05

6 3 D Concepts: Parallel Projection, Perspective Projection, Depth Cueing, Surface Rendering, Three-Dimensional and Stereoscopic Views

01

7 3 D Geometric Transformation: Translation, Rotation, Scaling, Reflection, Shears, Composite Transformations 05

8 Color models: Properties of light, XYZ, RGB, YIQ and CMY Color models, Conversion between color models 04

9 Advanced topics: Antialiasing, Visible surface detection concepts, back-face detection, depth buffer method illumination methods (ambient, diffuse reflection, specular reflection), Computer Animation

08

Practical content


Text Books

1 Computer Graphics C version By Donald Hearn and M.Pauline Baker

Reference Books

1 Computer Graphics By Zhigang Xizng and Roy Plastock

2 Graphics: Principles And Practice. By J.Foley, A. Van Dam, S. Feiner, and J. Hughes

GANPAT UNIVERSITY




Subject code 2IT609 Subject Name Cloud Computing



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Computer Networks

Learning Outcome:

At the end of the course, students will have achieved the following learning objectives.

understand the hardware, software concepts and architecture of cloud computing.

realize the importance of Cloud Virtualization, Abstractions and Enabling Technologies.

explore the Programming for Applications on Cloud.

Theory syllabus

Unit Content Hrs

1

Introduction: Cloud Computing, Layers and Types of Clouds, Cloud Infrastructure Management, Challenges and Applications. Virtualization: Virtualization of Computing, Storage and Resources. Cloud Services: Introduction to Cloud Services IaaS, PaaS and SaaS

08

2

Software as a Service (SaaS): Evolution of SaaS, Challenges of SaaS Paradigm, SaaS Integration Services, SaaS Integration of Products and Platforms. Infrastructure As a Services (IaaS): Introduction, Background & Related Work, Virtual Machines Provisioning and Manageability, Virtual Machine Migration Services, VM Provisioning and Migration in Action. Platform As a service (PaaS): Integration of Private and Public Cloud, Technologies and Tools for Cloud Computing, Resource Provisioning services

09

3

MapReduce Programming models and Implementations: Introduction, Map Reduce Programming Model, Major Map Reduce Implementations for the Cloud, Map Reduce Impacts. Migrating into a Cloud: Cloud Services for Individuals, Cloud Services Aimed at the Mid- Market, Enterprise Class Cloud Offering, Introduction to File System & Hadoop

07

4 Management and Monitoring: Accounts Monitoring, User profiles in Cloud, Resource Allocation and Pricing in Cloud 04

5

Security: Introduction, Cloud Storage: from LANs to WANs, Technologies for Data Security in Cloud Computing, Security Concerns, Legal issues and Aspects, Securing the Private and Public Cloud Architecture

04

6 Cloud Middleware: OpenStack, Eucaluptus, Windows Azure, CloudSim, EyeOs, Aneka, Google App Engine

08

Practical content


Text Books

1 Rajkumar Buyya, James Broberg, Andrzej M Goscinski, Cloud Computing: Principles and Paradigms, Wiley publication

2 Toby Velte, Anthony Velte, Cloud Computing: A Practical Approach, McGraw-Hill Osborne Media.

Reference Books

1 George Reese, Cloud Application Architectures: Building Applications and Infrastructure in the Cloud, O'Reilly Publication

2 John Rhoton, Cloud Computing Explained: Implementation Handbook for Enterprises, Recursive Press

GANPAT UNIVERSITY




Subject code 2HS601 Subject Name Aptitude Skill Building - II



L TU P TW



Pre-requisites:

Aptitude Skill Building – I

Learning Outcome:

On successful completion of the course the students will be able to:

acquire satisfactory competency in use of two basic skills (Quantitative Ability and Logical Reasoning).

solve campus placements aptitude papers covering Quantitative Ability and Logical Reasoning.

Theory syllabus

-

Practical content

Unit Content Hrs

1

Arithmetic Aptitude: Square Root and Cube Root, Surds and Indices, Ratio and Proportion, Chain Rule, Pipes and Cistern, Boats and Streams, Alligation or Mixture, Logarithm, Races and Games, Stocks and Shares, Probability, True Discount, Banker's Discount, Odd Man Out and Series

10

2 Data Interpretation: Pie Charts, Line Charts 04

3 Logical Reasoning: Analyzing Arguments, Statement and Assumption, Course of Action, Statement and Conclusion, Theme Detection, Cause and Effect, Statement and Argument, Logical Deduction

06

4 Verbal Reasoning: Seating Arrangement, Character Puzzles, Direction Sense Test, Classification , Data Sufficiency, Arithmetic Reasoning, Verification of Truth

06

Text Books

1 Quantitative Aptitude: By R. S. Aggarwal. S. Chand Publishers

Reference Books

1 A Modern Approach to Logical Reasoning: By R. S. Aggarwal. S. Chand Publishers

2 A Modern Approach To Verbal And Non-Verbal Reasoning: By R. S. Aggarwal. S. Chand Publishers

3 An Advanced Approach To Data Interpretation: By Dr. R. S. Aggarwal. S. Chand Publishers.

GANPAT UNIVERSITY



Semester VII


Subject Code

Subject Name



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

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

2IT701 Compiler Design 3 - 3 1 - 1 3 - 3 2 - 2 40 60 100 30 20 50

2IT702 Artificial Intelligence 3 - 3 1 - 1 3 - 3 2 - 2 40 60 100 30 20 50

2IT703 Minor Project - - - 4 - 4 - - - 8 - 8 - - - 60 40 100

Elective-IV 3 - 3 1 - 1 3 - 3 2 - 2 40 60 100 30 20 50

Elective-V 3 - 3 1 - 1 3 - 3 2 - 2 40 60 100 30 20 50

2IT712 Soft Skills - - - 2 - 2 - - - 4 4 0 0 0 60 40 100

Total 12 - 12 10 - 10 12 - 12 20 - 20

Elective-IV Elective-V

2IT704 Fundamentals of Image Processing 2IT708 Parallel Processing & Architecture

2IT705 Internet of Things 2IT709 Big data Analytics

2IT706 Mobile Computing 2IT710 Public Key Infrastructure

2IT707 Machine Learning 2IT711 Data Mining and Data Warehousing

GANPAT UNIVERSITY


Semester VII Version 2.0.0.0


Subject code 2IT701 Subject Name Compiler Design



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Regular expression, Finite Automata, Grammar, Context free grammar

Learning Outcome:

Upon successful completion of the course, the student should be able to:

Perform lexical analysis and various parsing techniques.

Construct compiler

Theory syllabus

Unit Content Hrs

1. 1 Introduction: Introduction to translators- Assembler, Compiler, Interpreter, Difference between Compiler and Interpreter, Linker, Loader , one pass compiler, multi pass compiler, cross compiler , The components of Compiler, Stages of Compiler: Front end, Back end, Qualities of Good Compiler

08

2. 2 Lexical Analysis: The Role of the Lexical Analyzer, Specification of Lexemes, Tokens and pattern. Recognition of Tokens.

04

3. Syntax Analysis: The Role of the Parser, Types of grammar, CFG, Left most derivation , Right most derivation, Parse Tree, Restriction on CFG, Ambiguous grammar, Top-Down Parsing, Issues of CFG, Recursive Decent Parser, Construction of Predictive Parsing Table , LL (1) Grammar, String Parsing using M-Table, Bottom-Up Parsing: Handle, Shift-reduce parser, LR parsers: LR (0), SLR (1), LALR (1), CLR (1), String parsing procedure using LR parser, R-R and S-R Conflicts.

12

4. Syntax-Directed Translation: Syntax Directed Definitions, construction of syntax tree, L-Attributed Definitions, Bottom up evaluation of S-attribute definition.

05

5. 3 Intermediate Code Generation: Implementation of Three Address Code, Intermediate code for all constructs of programming languages (expressions, if-else, loops, switch case etc.)

04

6. 4 Code Optimization: Introduction, Optimization of Basic Blocks, Loop Optimization Techniques 04

7. Code Generation: Introduction to Code Generation, Machine architecture currently in use, Major issues of code generations

04

8. 6 Error Detection and Recovery: Functions of error handler, Classification of Errors: Run time error & Compile time error: Lexical , Syntax & Semantic phase error

04

Practical content

Experiments/Practical/Simulations would be carried out based on syllabus

Text Books

1. Compilers: Principles, Techniques and Tools By Aho, Sethi, and Ullman, Addison-Wesley, 1986

Reference Books

1. 1 Concept of Compiler Design, By Adesh K. Pandey

2. Compiler Design By O G Kakade, 4th Edition

GANPAT UNIVERSITY




Subject code 2IT702 Subject Name Artificial Intelligence



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Basics of programming language and algorithms.

Learning Outcome:


Identify problems those are amenable to solution by AI methods and which AI method may be suited to solving a given problem.

Implement various AI algorithms

Theory syllabus

Unit Content Hrs

1. 1 Introduction of AI 03

2. 2 Problems and Problem Spaces & Search: AI Problems, Underlying Assumptions, The Level Of the Model, Criteria for success, Defining the Problem as State Space Search, Production Systems, Problem Characteristics, Issues in the Design of Search Programs, Problems

04

3. Heuristic Search Techniques: Generate & Test, Hill Climbing, Best First Search, Problem Reduction, Constraint Satisfaction, Means-Ends Analysis

07

4. Game Playing: Mini-Max Search Procedure, Alpha-Beta Pruning 02

5. 3 Expert System Architecture & Tools: Introduction, Rule Based System Architecture, Nonproduction System Architecture, Dealing with Uncertainty, Knowledge Acquisition & Validation, System Building Tools

04

6. 4 Languages For AI Problems: Prolog 03

7. Probabilistic Reasoning: Fuzzy Logic 03

8. 6 Artificial Neural Networks: Biological Motivation, Neural Network Representation, Appropriate Problems for Neural Network Learning, Perceptron

06

9. Supervised Learning: Decision Tree, Bayesian Decision Theory 04

10. Unsupervised Learning: Clustering, Nonparametric Methods 05

11. Evolutionary computing: Different Genetic Algorithms And Its Applications, Genetic Programming

04

Practical content


Text Books

1. Artificial Intelligence, By Rich E. & Kevin Knight, Tata McGraw Hill.

Reference Books

1. 1 Machine Learning, By Tom M. Mitchell, Tata McGraw-Hill.

2. Genetic Algorithms in Search, Optimization, and Machine Learning, D. E. Goldberg, Addison-Wesley.

3. Neural Networks: A Comprehensive Foundation, S. Haykin, PHI.

4. Introduction to Turbo Prolog, Townsend, Carl.

GANPAT UNIVERSITY




Subject code 2IT703 Subject Name Minor Project



L TU P TW

Credit - - 4 - 4 Theory - - -

Hours - - 8 - 8 Practical 60 40 100

Pre-requisites:

Understanding of Tools & Technology and Database Management System

Learning Outcome:


Develop an application using different technology

Learn how to work in a team.

Think and apply new ideas in developing a project. Practical content

Sr.No Content

1 Students have to carry out an project development work under the guidance of faculty member using the knowledge of subjects that he/she has learned up to 6th semester. Students have to submit a report with code at the end of the semester

GANPAT UNIVERSITY




Subject code 2IT704 Subject Name Fundamentals of Image Processing



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Background of computer programming and algorithms.

Learning Outcome:


Understand the fundamental concepts of image processing Perform image enhancement and restoration Apply the concepts of image segmentation

Theory syllabus

Unit Content Hrs

1. 1 Introduction: Overview, examples of fields that use Digital Image Processing, fundamental steps in Digital Image Processing, components of an Image Processing System.

05

2. 2 Digital Image Fundamentals: Elements of visual perception, light and the electromagnetic spectrum, image sensing and acquisition, image sampling and quantization, basic relationships between Pixels, linear and nonlinear operations.

07

3. Image Enhancement in the Spatial Domain: Background, some basic gray level transformations, histogram processing, enhancement using arithmetic/logic operations, basics of spatial filtering, smoothing spatial filters, sharpening spatial filters, combining spatial enhancement methods.

12

4. Introduction to Image Restoration: Image degradation/restoration model, noise models 05

5. 3 Morphological Image Processing: Preliminaries, dilation and erosion, opening and closing, the Hit-or-Miss transformation, some basic morphological algorithms.

05

6. 4 Image Segmentation: Detection of discontinuities, edge linking and boundary detection, thresholding, region-based segmentation.

06

7. Representation and Description: Representation, boundary descriptors, regional descriptors

05

Practical content


Text Books

1. Digital Image Processing By Rafael C. Gonzalez and Richard E. Woods.

Reference Books

1. 1 Digital Image processing By S. Sridhar, (Oxford University Press)

2. Fundamentals of Image Processing By Anil K Jain

GANPAT UNIVERSITY




Subject code 2IT705 Subject Name Internet of Things



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Fundamentals of computer network, wireless sensor network, communication & internet technology, web technology, information security

Learning Outcome:


Use of Devices, Gateways and Data Management in IoT.

Applications of IoT in Industrial Automation and Real World.

Theory syllabus

Unit Content Hrs

1. 1 Overview and Introduction : Internet of Things (IoT) and Web of Things (WoT): What's WoT?, The Internet of Things Today, Time for Convergence, Towards the IoT Universe, Internet, of Things Vision, IoT Strategic Research and Innovation Directions, IoT Applications, Future Internet Technologies, Infrastructure, Networks and Communication, Processes, Data Management, Security, Privacy & Trust, Device Level Energy Issues, IoT Related Standardization, Recommendations on Research Topics.

10

2. 2 M2M to IoT – A Basic Perspective: Introduction, Some Definitions, M2M Value Chains, IoT Value Chains, An emerging industrial structure for IoT, The international driven, global value chain and global information monopolies.

05

3. M2M to IoT-An Architectural Overview: Building architecture, Main design, principles and needed capabilities, An IoT architecture outline, standards considerations.

06

4. IoT Architecture -State of the Art: Introduction, State of the art, Architecture Reference Model- Introduction, Reference Model and architecture, IoT reference Model, IoT Reference Architecture- Introduction, Functional View, Information View, Deployment and Operational View, Other Relevant architectural views.

09

5. 3 IoT Applications for Value Creations: Introduction, IoT applications for industry: Future Factory Concepts, Brownfield IoT, Smart Objects, Smart Applications, Four Aspects in your Business to Master IoT, Value, Creation from Big Data and Serialization, IoT for Retailing Industry, IoT For Oil and Gas, Industry, Opinions on IoT Application and Value for Industry, Home Management, eHealth.

07

6. 4 Internet of Things Privacy, Security and Governance: Introduction, Overview of Governance, Privacy and Security Issues, Contribution from FP7 Projects, Security, Privacy and Trust in IoT-Data-Platforms for Smart Cities, First Steps Towards a Secure Platform, Smartie Approach.

08

Practical content


Text Books

1. From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence: By Jan Holler, Vlasios Tsiatsis, Catherine Mulligan, Stefan Avesand, Stamatis Karnouskos, David Boyle, 1st Edition, Academic Press, 2014.

Reference Books

1. 1 Internet of Things (A Hands-on-Approach), by Vijay Madisetti and Arshdeep Bahga, 1st Edition, VPT, 2014.

2. Getting Started with the Internet of Things: by Cuno Pfister, O‟Reilly Media, 2011

3. Rethinking the Internet of Things: A Scalable Approach to Connecting Everything, by Francis daCosta, 1st Edition, Apress Publications, 2013

GANPAT UNIVERSITY




Subject code 2IT706 Subject Name Mobile Computing



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Computer Networks

Learning Outcome:


Understand mobile adhoc network, wireless network and cellular network

Theory syllabus

Unit Content Hrs

1. 1 Introduction: Challenges in mobile computing, coping with uncertainties, resource poorness, bandwidth, etc. Cellular architecture, co-channel interference, frequency reuse, capacity increase by cell splitting. Evolution of mobile system: CDMA, FDMA, TDMA, GSM, Introduction to 3G and 4G Standards.

12

2. 2 Mobility Management: Cellular architecture, Co-channel interference, Mobility: handoff, types of handoffs; location management, HLR-VLR scheme, hierarchical scheme, predictive location management schemes. Mobile IP, cellular IP.

10

3. Publishing & Accessing Data In Air: Pull and push based data delivery models, data dissemination by broadcast, broadcast disks, directory service in air, and energy efficient indexing scheme for push based data delivery.

06

4. Ad hoc Network Routing Protocols: Ad hoc network routing protocols, destination sequenced distance vector algorithm, cluster based gateway switch routing, global state routing, dynamic source routing, ad hoc on-demand routing, location aided routing, zonal routing algorithm.

12

5. 3 Mobile Transaction and m-Commerce: Models for mobile transaction, Recovery model for mobile transactions. Electronic payment and protocols for mobile commerce

05

Practical content Experiments/Practical/Simulations would be carried out based on syllabus Text Books

1. Mobile Computing By Talukder and Yavagal, Tata McGraw Hill

Reference Books

1. Mobile Communication By J.Schiller

GANPAT UNIVERSITY




Subject code 2IT707 Subject Name Machine Learning



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Background of mathematics and programming.

Learning Outcome:


Understand the fundamental issues and challenges of machine learning.

Understand strengths and weaknesses of many popular machine learning approaches.

Theory syllabus

Unit Content Hrs

1. 1 Introduction of Machine Learning: Basic definitions, types of learning, Parameter Learning,

hypothesis space and inductive bias, evaluation, cross-validation

05

2. 2 Classification and Regression: Classification, Hypothesis Representation, Decision Boundary, Linear and Logistic Regression, Multiclass classification

05

3. Neural Network: Introduction, Application, Perceptron, Single layer Network, multi-layer network, backpropagation, introduction to deep neural network

06

4. Generative Models: Probability, Bayes Rule, Naïve Bayes, MAP and Bayesian learning 04

5. 3 Evaluating a Learning Algorithm 04

6. 4 Support Vector Machines and Kernel Methods 05

7. Unsupervised Learning: Introduction, Clustering, K-means Algorithm, Optimization Objective,

Random Initialization, Adaptive hierarchical clustering

04

8. 6 Supervised Learning: Decision Tree, Bayesian Decision Theory 04

9. Density Estimation: Problem Motivation, Gaussian Distribution 04

10. Evolutionary computing: Different Genetic Algorithms And Its Applications, Genetic Programming

04

Practical content Experiments/Practical/Simulations would be carried out based on syllabus Text Books

1. Understanding Machine Learning: From Theory to Algorithms, Shai Shalev-Shwartz and Shai Ben-David, Published 2014 by Cambridge University Press.

Reference Books

1. 1 Classification and regression trees, Leo Breiman, Wadsworth International Group, 1984

2. Machine Learning, By Tom M. Mitchell, Tata McGraw-Hill

3. Genetic Algorithms in Search, Optimization, and Machine Learning, D. E. Goldberg, Addison-Wesley

4. Neural Networks: A Comprehensive Foundation, S. Haykin, PHI

GANPAT UNIVERSITY




Subject code 2IT708 Subject Name Parallel Processing & Architecture



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Background of computer fundamentals and programming.

Learning Outcome:


Describe different parallel processing architectures based on relationships between processing elements, instruction sequence, memory and interconnected network.

Identify algorithms, which require parallelization as part of system design or performance enhancement.

Design and develop parallel algorithms for shared and distributed memory models.

Theory syllabus

Unit Content Hrs

1. 1 Introduction: Von Neumann architecture, Why do we need high speed computing?, How do we increase the speed of computers?, Some interesting features of parallel computers.

03

2. 2 Solving Problems in Parallel: Temporal parallelism, Data Parallelism, Combined temporal and data parallelism, Data parallelism with dynamic assignment, Data parallelism with quasi-dynamic assignment, Comparison of Temporal and Data Parallel Processing.

04

3. Instruction level Parallel Processing: Pipelining of Processing Elements, Delays in Pipeline Execution, Delay due to resource constraints, Delay due to data dependency, Pipeline delay due to branch instructions, Hardware modification to reduce delay due to branches, software modification to reduce delay due to branches, Difficulties in Pipelining,

04

4. Parallel Algorithms: Models of Computation, random access machine, parallel random access machine, Interconnection networks, combinational circuits, Analysis of Parallel Algorithms, Running time, Number of processors and cost,

03

5. 3 Introduction to Parallel Processing: Architectural Classification schemes, Multiplicity of instruction – data stream, Serial versus parallel processing, Parallelism versus pipelining, Parallel Processing Applications.

03

6. 4 Principles of Pipelining and Vector Processing: Principles of designing Pipeline Processors, Instruction prefetch and branch handling, Data buffering and busing structures, Internal forwarding and register tagging, Hazard detection and resolution.

04

7. Structures and Algorithms for Array Processors: SIMD Array Processors, SIMD computer organization, Masking and data routing mechanisms, Inter PE communications, SIMD Interconnection Networks, Static versus dynamic networks, Mesh connected Illiac network

04

8. 6 Multiprocessor Architecture and Programming: Multiprocessor Operating Systems, Classification of Multiprocessor operating systems, Software requirements for Multiprocessors, Operating system requirements.

03

9. Processes, Shared Memory and Simple Parallel Programs: Introduction, Processes and processors, Shared memory–1, Forking-Creating Processes, Shared memory-2, Processes are randomly scheduled – Contention

03

10. Basic Parallel Programming Techniques: Introduction, Loop splitting, Ideal speedup, Spin-locks, Contention and Self-scheduling, Histogram.

04

11. Barriers and Race Conditions: Introduction, The Barrier Calls, Expression splitting. 04

12. Introduction to scheduling – Nested loops: Introduction, Variations on loop splitting, Variation on self – scheduling, Indirect scheduling.

03

13. Overcoming Data Dependencies: Introduction, Induction variable, Forward dependency, Block scheduling and forward dependency, Backward dependency, Splittable loops, Special scheduling – Assign based on condition.

03

Practical content

Experiments/simulation based on the syllabus.

Text Books

1. Computer Architecture and Parallel Processing -By Kai Hwang, McGraw Hill International Edition

Reference Books

1. 1 Parallel Computers – Architecture and Programming -By V. Rajaraman and C. Siva Ram Murthy, PHI Publication

2. Introduction to Parallel Programming -By Steven Brawer, Academic Press Inc

3. Computer Architecture and Organization -By Hayes, Tata McGraw Hill

4. Computer Organization and Architecture -By Stallings, Pearson Publication

GANPAT UNIVERSITY




Subject code 2IT709 Subject Name Big data Analytics



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Fundamentals of mathematics and SQL.

Learning Outcome:


Identify and distinguish big data analytics applications

Describe big data analytics tools

Explain big data analytics techniques

Present cases involving big data analytics in solving practical problems

Theory syllabus

Unit Content Hrs

1. 1 Introduction To Big Data Introduction– distributed file system–Big Data and its importance, Four Vs, Drivers for Big data, Big data analytics, and Big data applications. Algorithms using map reduce.

07

2. 2 Big Analytic Tools And Techniques Big Data – Apache Hadoop & Hadoop EcoSystem, Moving Data in and out of Hadoop – Understanding inputs and outputs of MapReduce -, Data Serialization, Introduction to Data Analysis with Spark.

12

3. HDFS, HIVE AND HIVEQL, HBASE HDFS-Overview, Installation and Shell, Java API; Hive Architecture and Installation, Comparison with Traditional Database, HiveQL Querying Data, Sorting And Aggregating, Map Reduce Scripts, Joins & Sub queries, HBase concepts, Advanced Usage, Schema Design, Advance Indexing, PIG, Zookeeper , how it helps in monitoring a cluster, HBase uses Zookeeper and how to Build Applications with Zookeeper.

12

4. NoSQL What is it?, Where It is Used Types of NoSQL databases, Why NoSQL?, Advantages of NoSQL, Use of NoSQL in Industry, SQL vs NoSQL, NewSQL

08

5. 3 Case Studies 06

Practical content


Text Books

1. Big Data and Analytics by Seema Acharya,Subhashini Chellappan,Paperback,2015.

Reference Books

1. 1 Anand Rajaraman and Jeffrey David Ullman, Mining of Massive Datasets, Cambridge University Press, 2011. Ron Bekkerman, Mikhail Bilenko and John Langford, Scaling up Machine Learning: Parallel and Distributed Approaches, Cambridge University Press, 2011.

2. Tom White, Hadoop: The Definitive Guide, O‟Reilly Media, Third Edition, 2012.

3. Bill Franks, Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics, Wiley, 2012.

4. Michael Minelli, Michele Chambers, and Ambiga Dhiraj, Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses, Wiley, 2013.

5. Frank J. Ohlhorst, Big Data Analytics: Turning Big Data into Big Money, Wiley, 2012.

GANPAT UNIVERSITY




Subject code 2IT710 Subject Name Public Key Infrastructure



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Cryptography, network security.

Learning Outcome:


Understand public key infrastructures

Understand centralized and decentralized infrastructure

Understand concept of digital certificates

Learn various secured services provided by internet

Theory syllabus

Unit Content Hrs

1. 1 Cryptography Basics 03

2. 2 Public Key Infrastructure: Introduction, Components of PKI, CA Functions, Digital Certificate, Certificate Management, Private Key Management, Public Key Cryptography Standards

06

3. PKI Architecture: Introduction, Types of PKI Architecture: Single CA Architecture (Basic Trust List Model, Certificate Path Construction in a Single CA and Basic Trust List Architecture ), Enterprise PKI Architecture, Hierarchical PKI Architecture (Certificate Path Construction in a Hierarchical PKI Architecture), Mesh PKI Architecture(Certificate Path Construction in a Mesh PKI Architecture), Hybrid PKI Architecture (Certificate Path Construction in a Bridge PKI Architecture)

06

4. Internet Security Protocols :Introduction, Basic Concepts, Secure Socket Layer ,Secure Electronic Transaction, SSL Vs. SET, 3-D Secure Protocol, Email Security: PEM,PGP,S/MIME

07

5. 3 User-Authentication Mechanisms: Authentication Basics , Passwords, Authentication Tokens, Certificate Based Authentication, Biometric Authentication, Kerberos, Entity Authentication mechanism: Challenge response Protocol, Zero knowledge protocol.

06

6. 4 Digital Signature, Message Digest Algorithm – MD5 05

7. Symmetric Key Algorithm: Advanced Encryption Standard (AES) 03

8. 6 Asymmetric Key Algorithm: Knapsack Algorithm, Elgamal Crypto System 04

9. Key Management: Introduction, Key Distribution Center (KDC), A Simple Protocol using KDC, Needham–Schroeder Symmetric Key Protocol, Otway-Rees Protocol

05

Practical content


Text Books

1. Public Key Infrastructure Implementation and Design By Suranjan Choudhury, Kartik Bhatnagar, and Wasim Haque

Reference Books

1. 1 Cryptography and Network Security By Atul Kahate (3rd Edition)

2. Cryptography and Network Security By Forouzan

GANPAT UNIVERSITY




Subject code 2IT711 Subject Name Data Mining and Data Warehousing



L TU P TW

Credit 3 0 1 - 4 Theory 40 60 100


Pre-requisites:

Basics of database and data warehouse

Learning Outcome:


Understand the difference between database and data warehouse

Learn how to pre-process data before applying data mining techniques

Able to Choose the data-mining task (classification, regression, clustering, Association Rules etc.).

Understand mathematical foundations of data mining tools

Interpret the results produced by data mining

Theory syllabus

Unit Content Hrs

1. 1 Introduction: Basics of data mining, related concepts, Data mining techniques. 06

2. 2 Data Pre-Processing: Data Pre-processing, Handling noise & outliers - Integration, Discretization, Smoothing, Transformation, 3-4-5 rule etc.

06

3. Association Rule Mining: Association Rule Mining,- Support & Confidence heuristic, Apriori algorithm, Enhancement to Apriori (DIC, Hashing, Partitioning, Sampling etc) , FP-Tree & FP-Growth algorithm, Criticize to Support & Confidence, Interest & Lift Extended association rule mining (Hierarchical, Multimedia, Text, Quantitative etc)

06

4. Clustering: Cluster Analysis, Types of Data in Cluster Analysis, Interval-Scaled Variables, Categorical, Ordinal, and Ratio-Scaled Variables, Categorization of Major Clustering Methods, Partitioning Methods, Hierarchical Methods, Density-Based Methods

10

5. 3 Classification: Decision Tree Classification, Info-Gain criteria to select best split, Naive Bayes Classifier, Precision & Recall evaluating performance of classifier accuracy , Confusion matrix for evaluating performance of classifier accuracy, Correlation analysis , Chi-square statistic

06

6. 4 Web Mining: Introduction to Web Mining, Web content mining, Web usage mining, Web Structure mining, Web log structure and issues regarding web logs

05

7. 6 Data Warehousing: OLAP & OLTP, Data warehouse & Data mart, OLAM architecture, Extraction, Transform & Loading (ETL) concept for generic, two-tier, three -tier architecture, Data warehousing schema - Star, Snowflake, Fact Constellation (Galaxy) - Data Cube , Operations on Data cube (slicing, roll up, roll down, drill up etc)

06

Practical content


Text Books

1. Han, Kamber ,“Data Mining Concepts and Techniques”, Morgan Kaufmann

Reference Books

1. 1 Paulraj Ponniah, “Data Warehousing Fundamentals”, John Wiley.

2. M.H. Dunham, “Data Mining Introductory and Advanced Topics”, Pearson Education.

3. Ralph Kimball, “The Data Warehouse Lifecycle toolkit”, John Wiley.

GANPAT UNIVERSITY




Subject code 2IT712 Subject Name Soft Skills



L TU P TW

Credit - - 2 - 2 Theory 0 0 0

Hours - - 4 - 4 Practical 60 40 100

Pre-requisites:

Nil

Learning Outcome:


Develop interpersonal skills and be effective goal oriented team player

To be professional with idealistic, practical and moral values.

To develop communication and problem solving skills.

To re-engineer attitude and understand its influence on behaviour.

Practical content

Sr.No Content Hrs

1 Self-Analysis: SWOT analysis, who am I, attributes, importance of self-confidence, self-esteem. 06

2 Attitude: Factors influencing attitude, challenges and lessons from attitude, etiquette. 06

3 Motivation: Factors of motivation, self-talk, intrinsic & extrinsic motivators. 05

4 Goal setting: Wish list, smart goal, blue print for success, short term, long term, life time goals 05

5 Time management: value of time, diagnosing time management, weekly planner to do list, prioritizing work

05

6 Gratitude: Understanding the relationship between Leadership Networking & Team work. Assessing Interpersonal Skills Situation description of Interpersonal Skill. Team Work: Necessity of Team Work Personally, Socially and Educationally

11

7 Leadership: Skills for a good leader, assessment of leadership skills 05

8 Stress management: Causes of stress and its impact, how to manage & distress, circle of control, stress busters.

06

9 Emotional Intelligence: What is emotional intelligence, emotional quotient, why emotional intelligence matters, emotion scales, managing emotions.

06

10 Conflict resolution: Conflicts in human relations – reasons case studies, approaches to conflict resolution.

05

Text Books

Reference Books

1 SOFT SKILLS, 2015, Career Development Centre, Green Pearl Publications

2 Covey Sean, Seven Habit of Highly Effective Teens, New York, Fireside Publishers, 1998.

3 Carnegie Dale, How to win Friends and Influence People, New York: Simon & Schuster, 1998.

GANPAT UNIVERSITY



Semester VIII


Subject Code

Subject Name



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

Total

CE SEE Total L TU Total P TW Total L TU Total P T

W Total

2IT801 Major Project - - - 16 - 16 - - - 32 - 32 - - - 200 200 400

Total - - - 16 - 16 - - - 32 - 32 - - - 200 200 400

GANPAT UNIVERSITY


Semester VIII Version 2.0.0.0


Subject code 2IT801 Subject Name Major Project



L TU P TW

Credit - - 16 - 16 Theory 0 0 0

Hours - - 32 - 32 Practical 200 200 400

Pre-requisites:

Understanding of Tools & Technology studied up to semester VII

Learning Outcome:

Upon successful completion of the course, the student should be able to

Get the exposure of real time environment of the industry.

Understand and fulfil the requirements of industry.

Guidelines for Industrial Project:

Students have to do project work individually / in the team.

Individual evaluation will be done.

Students will have to come for first reporting within first four weeks of semester.

Thereafter, students will have to come for reporting once in 2 weeks.

There will be 2 midterm evaluation along with presentation. First midterm evaluation will be

within 6 weeks and second midterm evaluation will be within 10 weeks from starting of the

semester.

Final evaluation will be done by external examiner.

Students need to follow the department guidelines strictly.

100 150 100 0 - uvpce.ac.in · code name of subject teaching scheme credit examination scheme hrs....

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