OPEN ELECTIVE-II (B ) OPERATIONS RESEARCH … the concepts of PERT and CPM for decision making and optimally managing projects Mapping of course outcomes with program outcomes : PO

OPEN ELECTIVE-II (B)OPERATIONS RESEARCH

MEC 411 Credits : 3Instruction : 3 Periods & 1 Tut/Week Sessional Marks : 40

End Exam : 3 Hours End Exam Marks : 60

Course Objective:The course is intended to identify and develop operational research models, understand themathematical tools to solve optimisation problems, and develop a report that describes the model, thesolving techniques and analyse the results.

Course Outcomes:

By the end of the course, the student will be able to:1. Apply linear programming model and assignment model to domain specific situations2. Analyze the various methods under transportation model and apply the model for testing the

closeness of their results to optimal results3. Analyze the inventory and apply them in domain specific situations.

4.Analyze the Dynamic and integer programming and apply them for arriving at optimal decisions

5.Apply the concepts of PERT and CPM for decision making and optimally managing projects

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SYLLABUS

Unit I 14 PeriodsLinear Models

Overview of operations Research: OR models – OR Techniques Linear Programming: Introduction –Graphical solution; Graphical sensitivity analysis – The standard form of linear programmingproblems – Basic feasible solutions - unrestricted variables – simplex algorithm – artificial variables –Big M and two phase method – Degeneracy - alternative optima – unbounded solutions – infeasiblesolutions. Dual problems- Relation between primal and dual problems – Dual simplex method

Unit II 12 PeriodsAssignment problem – Hungarian Method.Transportation model – starting solutions. North West corner Rule - lowest cost method –Vogelsapproximation method

Unit III 12 PeriodsInventory Models : Static EOQ Models – Dynamic EOQ models.Game theory: Two person Zero Sum Games – Mixed strategy games and their Algorithms

Unit IV 12 PeriodsInteger Programming & Dynamic ProgrammingInteger Programming : Branch and Bound Algorithms cutting plan algorithm.Dynamic Programming: Recursive nature of dynamic programming – Forward and BackwardRecursion

Unit V 10 PeriodsNetwork models – Basic Concepts – Construction of Networks – Project Network – CPM and PERT

Text Book:1. S.D.Shrama, Operation Research, Kedar Nath Ram Nath publication, ISBN-13: 1234567142552

Reference Books:

1. Hira D S and Gupta P K, Operations Research, (2007), S.Chand & Sons.2. Panneerselvan. R. Operation Research, (2006), Prentice Hall of India Pvt Ltd.3. Kanti Swarup, Gupta P.K., and Manmohan, Operations Research, (2004), S.Chand & sons.

Web Resources

https://orc.mit.edu/

www.orsi.in/ https://www.journals.elsevier.com/european-journal-of-operational-research/

www.theorsociety.com/

OPEN ELECTIVE - II

FOOD PROCESSING TECHNOLOGYCHE 411(A) Credits:4Instruction : 4 Lectures & 1 Tut/Week Sessional Marks : 40End Exam : 3 Hours End Exam Marks: 60

Prerequisites:Basic Biology, Basic Chemistry

Course Objective:1. To understand the fundamentals of food processing2. To have an awareness of various unit operations in food industry3. To know about the various handling and storage techniques of various foods

Course Outcomes:By the end of the course, the student will be able to:1. Know the fundamentals of food microbiology and biochemistry

2. Outline the fundamental mechanical operations in food industry

3. Acquire knowledge on advanced processing in food industry

4. Understand the technology of manufacturing food products5. Select different handling techniques suitable for food storage

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SYLLABUSUNIT I 9 L+ 3 TFood Microbiology & Biochemistry:General aspects of food industry, introduction to food microorganisms, association with food,sources and behaviour of food, factors affecting microbial growth and decay, thermal deathkinetics, carbohydrates, proteins, lipids,vitamins-sources, nutrition value of food

UNIT II 9 L+ 3 TFood Processing Operations-I:

Characteristics, cleaning sorting, and grading of food raw materials, size reduction, sizeenlargement, mixing, emulsification, filtration, centrifugation

UNIT III 9 L+ 3 TFood Processing Operations-II:Extraction, crystallization, drying, lyophilisation, microwave heating

UNIT IV 9 L+ 3 TProduction of Food Products:Industrial production of beverages, non beverages products, dairy products, bakery,confectionery products and processing of vegetables, fruits and animal products

UNIT V 9 L+ 3 THandling, Packaging and Storage of Food Products:Food spoilage, food quality control, characteristics of packaging materials, manufacture ofplastic films, coils, laminates, pouches, rigid plastic container paper, corrugated paper boards,shipping cartoons and containers

Text books:1. Dennis. R. Heldmann., Food Processing Engineering, 3rd edition, Springer2. D.G.Rao., Fundamentals of food engineering, 2002, PHI Learning Private Ltd

Reference book:1. Michele Marcotte, Hosahalli Ramswamy, Food Processing principles and

applications, 2005, CRC press2. Gordon. L. Robertson, Food Packaging : Principles and Practice, 2006, CRC press

OPEN ELECTIVE - II

CORROSION ENGINEERINGCHE 411(B) Credits:4Instruction : 4 Lectures & 1 Tut/Week Sessional Marks : 40End Exam : 3 Hours End Exam Marks: 60

Prerequisites:Engineering Chemistry

Course Objectives:1. To know about corrosion and its effects2. To have knowledge on types of erosion3. To acquire knowledge on mechanism of corrosion4. To get acquaintance with corrosion testing methods5. To have knowledge on anti-corrosive materials

Course Outcomes:

By the end of the course, the student will be able to:1. Analyze the factors for corrosion2. Distinguish the various types and corrosion and their effects3. Model mathematically the mechanism of corrosion4. Determine the rate of corrosion5. Propose anti-corrosive materials for different industries

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SYLLABUSUNIT I 9 L+ 3 TIntroduction to corrosion:Definitions, Factors affecting on the rates of Corrosion. Direct and indirect costs due to corrosionin Industrial practice, Corrosion rates determination from weight loss measurements.Electrochemical theories of Corrosion, EMF series, Galvanic Series their significance incorrosion monitoring, Corrosion Potential representation by Evans Diagrams, Polarization Overvoltage, Activation and Concentration polarization, Nernst Equation and determination ofCorrosion potentials. Thermodynamic aspects of Corrosion reactions- Potential-pH phasediagram for Iron Water system

UNIT II 9 L+ 3 TTypes of corrosion:

A Corrosion Cell –its components with examples –types of corrosion cells generallyencountered-concentration cells, galvanic or dissimilar metal cells, temperature differentiationcells, Differential aeration cells. Forms of Corrosion-Uniform, Pitting, crevice corrosion,Cavitation erosion, impingement attack, Corrosion fatigue- metallurgical aspects affectingcorrosion reactions Area effect, Grain boundary effect.

UNIT III 9 L+ 3 TMechanisms of corrosion:Dezincification, Intergranular Corrosion, mechanism and remedial measures, Stress CorrosionCracking, Caustic embrittlement, Hydrogen embrittlement mechanism and remedial measures-mechanism of differential aeration corrosion and remedial measures. Biological corrosion due tobacterial habitat, Combination of two dissimilar metal electrodes and relevant current-potentialdiagrams to evaluate corrosion rates-galvanic Corrosion.

UNIT IV 9 L+ 3 TCorrosion testing methods:Combating Corrosion – Corrosion testing methods: Weight Loss methods, standard expressionfor corrosion rates-Huey Test, Streicher Test, Warren Test for corrosion. Linear PolarizationTechnique to evaluate corrosion, interpretation of corrosion data by Nelson’s Method. CorrosionPrevention Methods generally followed-Coatings, Organic (paints) and Inorganic coatings-Chemical Conversion coatings- Altering the environment, inhibitors organic and inorganic,altering or modifying the material, alloying essential design rules during fabrication and otherprecautions during the choice of the material for a given service environment. Passivity, AnodicProtection and Cathodic Protection, Sacrificial anode Method –Current impressed Method-galvanizing of steel.

UNIT V 9 L+ 3 TAnti-corrosive materials:Selection for a given Chemical Engineering Service Environment- Materials for ChemicalEngineering Industry to resist the given chemical Environment. Ferritic, Austenitic steels andstainless steels-Copper and its alloys-Brasses, bronzes, Nickel and its alloys- Monel alloys-materials for a petroleum refinery industry.

Text books:1. Fontana. M.G, and Grene., Corrosion Engineering, 3rd edition, 2005, Tata McGraw Hill,

New York.

Reference Books:1. Uhlig. H.H., Corrosion and Corrosion Control, 3rd edition, 1985, John Wiley and Sons,

New York.

OPEN ELECTIVE – IICOMPUTATIONAL TOOLS FOR ENGINEERS

CHE 411(C) Credits:4Instruction : 3 Lectures & 1 Tut/Week Sessional Marks : 40End Exam : 3 Hours End Exam Marks: 60

Prerequisites:Engineering Mathematics, Basic Knowledge on Computer Programming

Course Objectives:1. To familiarize with MATLAB software to compute ordinary differential equations

and integrations

Course Outcomes:By the end of the course, the student will be able to:1. Know the basic syntax in MATLAB

2. Solve root finding problems using MATLAB

3. Solve interpolation problems using MATLAB

4. Solve numerical differentiation using MATLAB

5. Solve numerical integration using MATLAB

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SYLLABUS

UNIT I 9 L + 3 TIntroduction to MATLABBasics of MATLAB, creating, saving and editing a script file, function file and plots, problemson matrix and vectors, matrix and array operations.

UNIT II 9 L + 3 TRoot findingRoot finding: bisection method, Newton’s method, Secant method; least squares approximation.

UNIT III 9 L + 3 TInterpolationPolynomial interpolation, piecewise linear interpolation and cubic spline interpolation.

UNIT IV 9 L + 3 TNumerical differentiationOrdinary differential equations: initial value problem: Euler and Runge-Kutta methods; boundaryvalue problem: Finite difference method, shooting method, orthogonal collocation method.

UNIT V 9 L + 3 TNumerical integrationNumerical integration: mid-point, trapezoidal and Simpson’s rule.

Text books1. Rudra Pratap, Getting started with MATLAB, 2002, Oxford University Press

References1. S. K. Gupta, Numerical Methods for Engineers, New Age Intl. Publishers 2nd ed., 20102. Jeffrey R. Chasnov, Introduction to Numerical Methods, Lecture notes, The Hong Kong

University of Science and Technology.3. B.S. Grewal, Higher Engineering Mathematics.,43rd edition, Khanna Publishers, New

Delhi.

OPEN ELECTIVE – II

BIOINFORMATICSCHE 411(D) Credits:4Instruction : 4 lectures & 1 Tut/Week Sessional Marks : 40End Exam : 3 Hours End Exam Marks: 60

Prerequisites:Basic Biology, Basic knowledge in computer programming

Course Objective:1. Use of computational tools to understand the biological data2. Understand the design of novel drugs using computational tools3. To predict new sequences using the existing sequences in databases4. Student will be able to rknow the various sources of information

Course Outcomes:By the end of the course, the student will be able to:1. To understand the basics of bioinformatics

2. Know various types of databases to retrieve the protein sequence

3. Know various alignment methods to analyse biological data

4. Identify different strategy to predict biomolecules

5. Design novel drugs

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SYLLABUSUNIT I 9 L+ 3 THistory, Scope and Importance:Important contributions - aims and tasks of Bioinformatics - applications of Bioinformatics -challenges and opportunities - internet basics- HTML - introduction to NCBI data model-various file formats for biological sequences

UNIT II 9 L+ 3 TDatabases -Tools and Their Uses:

Importance of databases - Biological databases-primary sequence databases- composite sequencedatabases- secondary databases- nucleic acid sequence databases - protein sequence data bases -structure databases - bibliographic databases - specialized genomic resources- analysis packages

UNIT III 9 L+ 3 TSequence Alignment Methods:Sequence analysis of biological data-significance of sequence alignment- pairwise sequencealignment methods- use of scoring matrices and gap penalties in sequence alignments- multiplesequence alignment methods - tools and application of multiple sequence alignment.

UNIT IV 9 L+ 3 TPredictive Methods Using Dna And Protein Sequences:Gene predictions strategies - protein prediction strategies - molecular visualization tools-phylogenetic analysis: concept of trees- phylogenetic trees and multiple alignments.

UNIT V 9 L+ 3 TDiscovering a drug - target identification and validation - identifying the lead compound -optimization of lead compound - chemical libraries.

Text books:1. T K Attwood, D J parry-Smith, Introduction to Bioinformatics, Pearson Education, 1st

Edition, 11th Reprint 2005.2. S.C. Rastogi, Bioinformatics- Concepts, Skills, and Applications, CBS Publishing, 2003.Reference Books:

1. David W.Mount, Bioinformatics sequence and genome analysi”, Cold spring harborlaboratory press, 2004.

2. S. Ignacimuthu, S.J., Basic Bioinformatics, Narosa Publishing House, 1995.

GREEN TECHNOLOGIES

CHY 411 (B) Credits: 3Instruction: 3 periods & 1 tutorial/week Sessional marks: 40End exam: 3 Hours End exam marks: 60

Target group: Chemical Engineering, Mechanical Engineering, Electrical and ElectronicsEngineering, Electronics and Communication Engineering.

Course Objectives

To provide basic knowledge on green technology. To understand the principles of green chemistry and eco friendly methodologies. To create awarenes on Clener development mechanisms. To develop concepts on various energy efficient systems and green buildings.

Course outcomes

By the end of the course, student will be able to:1 Realise the importance of green technologies in sustainable growth of Industry and

society.2 Adopt alternative methods and solvents for green synthesis.3 Develop cleaner production and treatment mechanims for pollution prevention.4 Design and implementation of suitable energy efficient processes.5 Plan and use of selective materials for green buildings.

SYLLABUS

Unit-I Introduction to green chemistry and technology 8 periods

Twelve principles of green chemistry, Green technology-definition, importance, factorsaffecting green technology.

Role of industry, government and institutions; industrial ecology, role of industrial ecology ingreen technology.

Unit-II Green synthesis and Solvents 10 periods

Green methods of synthesis- microwave assisted synthesis, solvent free techniques- Reactionon solid supports.

Alternative solvents Ionic liquids- general synthesis, applications; super critical fluids-extraction, process and applications.

Unit-III Cleaner development technologies 10 periods

Cleaner development mechanisms, role of industry; reuse, reduce and recycle, raw materialsubstitution; wealth from waste; carbon credits, carbon trading, carbon sequestration, ecolabelling.

Oxidation technology for waste water treatment- Cavitation, Fenton chemistry, photocatalysisand hybrid processes.

Unit-IV Energy efficient systems and processes 12 periods

Energy efficient motors, energy efficient lighting, control and selection of luminaries; bio-fuels, fuel cells- working, selection of fuels,

Green manufacturing systems, selection of recyclable and environment friendly materials inmanufacturing, design and implementation of sustainable green production systems.

Unit-V Green Buildings 10 periods

Definition- Features and benefits, Fundamental planning decisions for energy efficientbuilding- site selection, buildings forms and orientations, building fabrics and insulation,ventilation, passive solar features.

Ecofriendly and cost effective materials, Energy management, roof top solar photovoltaicsystem and solar tracking system, alternating roofing systems.

Prescribed books

1. Khan B.H, Non conventional energy resources, Tata McGraw-Hill, New Delhi 2006.2. Rashmi Sanghi and M.M. Srivastava, Green Chemistry-Environment Friendly

Alternatives, Narosa Publishing House, New Delhi 2009.3. Paul L. Bishop, Pollution prevention –Fundamentals and Practices, McGraw-Hill-

international 2000.4. N. Vinutha bai, R. Ravindra, Energy efficient and green technology concepts,

International Journal of Research in Engineering and Technology p 253-258, Volume:03 Special Issue: 06 , 2014, eISSN: 2319-1163 pISSN: 2321-7308.

INTRODUCTION TO SOFT COMPUTINGCSE 411 (A) Credits: 3Instruction: 3 Periods & 1 Tut/ Week Sessional Marks : 40End Exam : 3Hours End Exam Marks : 60Prerequisites:Knowledge of set and probability theory.Basic knowledge of algorithms, Basic programming skills.

Course Objectives: To make the students to be familiar with the concept of classification techniques

to solve real problems. To make the students to have general overview on selection and decision making

strategies. To make the students gain knowledge about solving real world problems from

biological inspired features.

Course Outcomes:

By the end of the course , the student will be able to:

1. To comprehend the basic concepts of artificial neural networks.

2. To analyze different artificial neural network structures and their uses thereby.

3. To analyze the mechanism Fuzzy logic and Fuzzy inference systems.

4. To be able to solve classification and selection problems.

5. To design fitness functions to solve various optimization problems.

Mapping of course outcomes with program outcomes:

Mapping PO PSO1 2 3 4 5 6 7 8 9 10 11 12 1 2

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SYLLABUS

UNIT-I : 10 PeriodsFUNDAMENTALS OF NEURAL NETWORKS :

Basic concepts of Neural Network; Human Brain; Model of an Artificial Neuron; NeuralNetwork Architectures; Characteristics of Neural Networks; Learning Methods; Taxonomyof Neural Networks Architectures; History Of Neural Networks; Early Neural NetworkArchitectures Applications:- ADALINE and MADALINE.

UNIT-II : 10 PeriodsBACKPROPAGATION NETWORKS :Architecture of a Back Propagation Network; Back Propagation Learning:- Computation ofinput layer, hidden layer, and output layer, Calculation of error, Training of neural network,Method of steepest descent, Effect of learning rate; Back propagation algorithm;Application:- Classification of soil; Selection of various parameters of BPN.

UNIT-III : 8 PeriodsADAPTIVE RESONANCE THEORY:Introduction; ART1: Architecture, Special Features, Algorithm, Illustration; Applications:-

Character recognition using ART1, Classification of soil.

UNIT IV : 10 periodsFUZZY LOGIC:Fuzzy Versus Crisp, Crisp sets, Fuzzy sets, Crisp relations, Fuzzy relations;Fuzzy systems:- Crisp logic, Predicate logic, Fuzzy logic, Fuzzy rule based system,Defuzzification methods.

UNIT V: 12 PeriodsGENETIC ALGORITHMS:Fundamentals of genetic algorithms:-History, Basic concepts, Creation of offspring, Workingprinciple, Encoding, Fitness function, Reproduction; Genetic modeling:- InheritanceOperators, Cross over, Inversion and deletion, Mutation operator, Bit-Wise operators, Bit-Wise operators used in GA, Generational Cycle, Convergence of Genetic Algorithm;Applications:- Constrained optimization.

Text Book:1. S. Rajasekaran and PG.A.V. Pai , “Neural Networks, Fuzzy logic, and Genetic

algorithms: synthesis and applications”, PHI Publication.

Reference Books:

1. Simon Haykin , “Neural Networks: A Comprehensive Foundation “, PHI Publication.2. C. Eliasmith and CH. Anderson, “Neural Engineering “, PHI.3. John Yen and Reza Langari , “Fuzzy Logic¨Intelligence, Control and Information”,

Pearson Publication.

Web Resources:http://nptel.ac.in/courses/117105084/

WEB DESIGNINGCSE 411 (B) Credits : 3Instruction : 3 Periods & 1 Tut/Week Sessional Marks : 40End Exam : 3 Hours End Exam Marks : 60Prerequisites:Student must have knowledge of some programming languages (such as C, C++)Basic knowledge of computer fundamentalsin JAVA programming language.

Course Objectives :

Know the advantages and use of different types of CSS To learn designing of dynamic and interactive web pages by embedding Java Script

code in HTML. To design and to develop simple database driven web applications using a server-side

scripting language To create good, effective and customized websites using various technologies.

Course Outcomes:

By the end of the course, the student will be able to:1. Develop the static web pages usingHTML2. Analyze a web project and identify its elements and attributes in comparison to

traditional project.

3. Demonstrate computational and problem solving skills as applied to the computingindustry.

4. Apply the knowledge to create dynamic web pages using Servlets ,JSP.

5. Developweb application using software tools and identify the environments currentlyavailable on the market to design web sites

Mapping of course outcomes with program outcomes :

Mapping PO PSO1 2 3 4 5 6 7 8 9 10 11 12 1 2

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UNIT-I: 12PeriodsHTML Common tags:Basics of HTML, formatting and fonts, commenting code, color, hyperlink, lists,

tables, images, forms, Meta tags, Character entities, frames and frame sets, Web sitestructure.Java Script:Introduction to Java Scripts, Objects in Java Script, Dynamic HTML with Java Script.

UNIT-II: 10 PeriodsXML:Document type definition, XML Schemas, Document Object model, Presenting XML, UsingXML Processors: DOM and SAX

UNIT –III: 16 PeriodsWeb Servers and Servlets: Introduction to web server installation.Introduction to Servlets: Lifecycle of a Servlet, The Servlet API, The javax.serveletPackage, Reading Servlet parameters, Reading Initialization parameters. The javax.serveletHTTP package, Handling Http Request & Responses, Using Cookies-Session Tracking,Security Issues.

UNIT-IV: 16 PeriodsJSP Application Development:Generating Dynamic Content, Using Scripting Elements Implicit JSP Objects, ConditionalProcessing – Displaying Values Using an Expression to Set an Attribute, Declaring Variablesand Methods Error Handling and Debugging Sharing Data Between JSP pages, Requests, andUsers Passing Control and Date between Pages – Sharing Session and Application Data –Memory Usage Considerations.

UNIT-V: 10 PeriodsDatabase Access:Database Programming using JDBC, Studying Javax.sql.* package,Accessing a Databasefrom Servlets &JSP Page , Application – Specific Database Actions.

Text Books:

1. Dietel and Nieto PHI/Pearson Education Asia., “Internet and World Wide Web – How toprogram “,4th edition,Pearson Education

2..Deitel/Deitel/Santry ,”Advanced Java™ 2 Platform How to Program,” 2nd edition,OReily

3. Hans Bergsten , Java Server Pages, 3rd edition,SPD O’ReillyReference Books:

1. Steven Holzner, “HTML Black Book: The Programmer's Complete HTML ReferenceBook” Coriolis Group Books

2. Marty Hall and Larry Brown Pearson ,”Core SERVLETS ANDJAVASERVER PAGESVOLUME 2: CORE TECHNOLOGIES”, 2 edition ,Prentice Hall

Web Resources:https://www.w3schools.com/html/http://www.javatpoint.com/jsp-tutorial

CLOUD COMPUTING OVERVIEWCSE 411 (C) Credits: 3Instruction: 3Periods & 1Tut/ Week Sessional Marks : 40End Exam: 3Hours End Exam Marks : 60Prerequisites:To Undertake this course student must have basic understanding of Data Communicationsand Networking Technologies.Prior knowledge of computing and about the software systems.Student must be familiar with the concept of , parallel and distributed programming

Course Objectives:

To make students understand with the fundamentals and essentials of CloudComputing.

To provide students a sound foundation of the Cloud Computing so that they are ableto start using and adopting Cloud Computing services and tools in their real lifescenarios.

To enable students exploring some important cloud computing driven commercialsystems such as GoogleApps, Microsoft Azure and Amazon Web Services and otherbusinesses cloud applications

Course outcomes:

By the end of the course, the student will be able to:1. To be familiar with the basics, challenges, need of cloud computing.

2. Able to identify infrastructure of cloud3. Describing different cloud services

4. Analyzing different cloud data storage and cloud security5. To analyze the need to migrate to the cloud and how cloud computing might evolve

Mapping of course outcomes with program outcomes:

Mapping PO PSO1 2 3 4 5 6 7 8 9 10 11 12 1 2

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SYLLABUS

Unit – I : 10 PeriodsCloud Computing Basics:Cloud Computing Overview, Classify and describe the architecture and taxonomy of parallel

and distributed computing, including shared and distributed memory, and data and taskparallel computing. Explain and contrast the role of Cloud computing within this space.Intranets and the Cloud, FirstMovers in the Cloud. The Business Case for Going to the Cloud- Cloud Computing Services introduction

Unit–II : 10 PeriodsHardware and Infrastructure–Clients:Mobile, Thick, Thin, Security:- Data Leakage, Offloading work, Logging, Forensics,Compliance VPNs, Key management ,Network- four different levels : Basic Public Internet,The Accelerated Internet, Optimized Internet Overlay Site-to-Site VPN, Services : - identify,integration, mapping, payment, search. Accessing the Cloud – Platforms.

Unit- III: 10PeriodsCloud Services:Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS),Software plus services - Overview, Cloud computing applications and business case for goingto the cloud, Infrastructure as a Service--Amazon EC2, Platform as a Service—RightScale,Salesforce.com ,Software as a Service--Google App Engine and Salesforce , --Microsoft’stake on SaaS is slightly different with their Software plus Services (sometimes they shorten itto S+S) Software plus Services

Unit – IV : 12 PeriodsCloud Storage and data storage security:What is cloud storage? uses of cloud storage, Types of cloud storage, things looked forcloud storage, infrastructure, data types used in cloud computing, Data security challenges,VPN- Virtual Private Network ,FADE – File assured deletion ,TPA – Third Party Auditing.Cloud Security – need for security and privacy in cloud computing, Security and privacyissues

Unit-V: 12 PeriodsLocal Clouds,ThinClients,Thick clients:Types of Virtualizations,Virtualization in Your Organization, Server Solutions, Thin Clients,Migrating to the Cloud - Cloud Services for Individuals, Cloud Services Aimed at the Mid-Market, Enterprise-Class Cloud Offerings, Migration, Best Practices and the Future of CloudComputing - Analyze Your Service, Best Practices, How Cloud Computing Might Evolve.

Text Book:1. Anthony T. Velte, Toby J. Velte, Robert Elsenpeter. “Cloud Computing-A Practical

Approach”,1st Edition,McGrawHill.

Reference Books:

1. Derrick Rountree and lleanaCastrillo, “The Basics of Cloud Computing “,2.L. Wang, R. Ranjan, J. Chen, and B. Benatallah, “Cloud Computing: Methodology,

Systems, and Applications”, CRC Press, Boca Raton, FL,USA, ISBN: 9781439856413,October 2011.

3. Buyya R., Broberg J., Goscinski A., “Cloud Computing: Principles and Paradigms”,John Wiley & Sons Inc., ISBN: 978-0-470-88799-8, 2011.

Web Resources:

1. http://nptel.ac.in/courses/106106129/282. https://www.coursera.org/learn/cloud-computing3. https://www.edx.org/course/subject/computer-science/cloud-computing4. http://www.guru99.com/cloud-computing-for-beginners.html5. http://www.pritee.org/index.php/study-material/cloud-computing6. https://cloudacademy.com/

FUNDAMENTALS OF DIGITAL IMAGE PROCESSINGCSE 411 (D) Credits :

3Instruction : 3 Periods & 1 Tut/Week Sessional Marks : 40End Exam : 3 Hours Ena Exam Marks : 60Prerequisites:Knowledge of linear algebra, basic probability and statistics, introductory knowledge of basicprogramming language, MATLAB/C are preferred.

Course Objectives: Overview of digital image processing field; Image transform used in digital image processing. Image enhancement techniques used in digital image processing. Image restoration techniques and methods used in digital image processing. Image compression and Segmentation used in digital image processing

Course Outcomes:By the end of the course, the student will be able to:1. Demonstrated understanding of the basic concepts of two-dimensional signal

acquisition, sampling, and quantization2. Demonstrated understanding of spatial filtering techniques, including linear and

nonlinear methods3. Demonstrated understanding of 2D Fourier transform concepts, including the 2D

DFT and FFT, and their use in frequency domain filtering.4. Demonstrated understanding of the fundamental image enhancement algorithms

such as histogram modification, contrast manipulation, and edge detection5. Demonstrated programming skills in digital image processing related problems

Mapping of course outcomes with program outcomes:

MappingPO PSO1 2 3 4 5 6 7 8 9 10 11 12 1 2

CO

1 3 3 2 2 2 2 1 2 1 1 1 12 3 2 1 1 1 1 1 1 13 1 2 3 1 2 1 1 1 1 14 1 3 3 1 1 1 1

5 1 1 3 3 1 2 1 1 1 1

SYLLABUS

UNIT-I :

Introduction : 12 periodsDigital Image Processing and Applications – Image Representation and ModelingDigital Image Fundamentals:

Elements of Visual perception – A simple Image Model – Sampling and Quantization – SomeBasic Relationship between Pixels.Elements of digital image processing systems, Digital Camera working principles, Elementsof visual perception, brightness, contrast, hue, saturation.

UNIT-II :Image Transforms & Color Image Processing: 15 periodsBackground, Some Basic Intensity Transformation Functions, Histogram Processing,Histogram Equalization, Histogram Matching (Specification), Local Histogram Processing,Using Histogram Statistics for Image Enhancement, Color Fundamentals , Color Models ,The RGB Color Model , The CMYand CMYK Color Models , The HSI Color Model ,Pseudocolor Image Processing , Intensity Slicing , Intensity to Color Transformations ,Basics of Full-Color Image Processing

UNIT- III :IMAGE ENHANCEMENT IN SPATIAL DOMAIN: 8 periodsFundamentals of Spatial Filtering, Smoothing Spatial Filters, Sharpening Spatial Filters,Combining Spatial Enhancement Methods.

UNIT-IV :IMAGE ENHANCEMENT IN FREQUENCY DOMAIN: 12 periodsBackground, Preliminary Concepts, Sampling and the Fourier Transform of SampledFunctions, The Basics of Filtering in the Frequency Domain, Image Smoothing UsingFrequency Domain Filters, Image Sharpening Using Frequency Domain Filters, SelectiveFiltering.

UNIT-V :IMAGE SEGMENTATION & Morphology: 15 periodsEdge detection, Edge linking via Hough transform – Thresholding - Region basedsegmentation – Regiongrowing – Region splitting and Merging .Preliminaries, Erosion and Dilation, Opening and Closing, the Hit-or-Miss Transformation,Some Basic Morphological Algorithms, Gray-Scale Morphology

Text Books:1. Gonzalez Rafael C and Woods Richard E,” Digital Image Processing”, 3rd Edition,

Prentice Hall, 2008.2. Anil K. Jain, PHI. Pattern Recognition and Image Analysis, Earl Gose and Richard

Johnsonbaugh Steve Jost, PHI,” Fundamentals of Digital Image Processing”.

Reference Books:1. Pratt William K, “Digital Image Processing: PIKS Scientific Inside”, 4th Edition,

John Wiley, 2007. (TA1632.P917 2007) •2. Pitas Ioannis, Digital Image Processing Algorithms and Applications, John Wiley,

2000. (TA1637.P681) •3. Jain Anil K,” Fundamentals of Digital Image Processing”, PrenticeHall, 1989.

(TA1632.J25)Web Resources:https://www.tutorialspoint.com/dip/image_transformations.htm.www.cs.uu.nl/docs/vakken/ibv/reader/chapter10.pd.www.cs.haifa.ac.il/~dkeren/ip/lecture7.pdf

OPEN ELECTIVE-IIFUNDAMENTALS OF ELECTRIC POWER UTILIZATION

EEE 411 Credits : 3Instruction : 4 Periods & 1 Tut/Week Sessional Marks : 40End Exam : 3 Hours End Exam Marks : 60

Prerequisites: Basic concepts of Electrical Machines

Course Objectives:

At the end of the course students should

Understand the fundamental concepts of drives and types of drivesused in traction.

Analyze the accessing techniques for braking system implementationin traction.

Able to comprehend the different issues related to heating, welding andillumination.

Course Outcomes:

This course used lectures assignments and class tests to enable the students to

1. Express working of Electric Drives and specify energy consumption.

2. Articulate different types of Welding, Electric Heating and Illumination.

3.Discuss mechanics of Train movement and Plot trapezoidal and quadrilateral speed timecurves.

4. Comprehend various heating & welding techniques and fundamentals of illumination.

SYLLABUS

UNIT I: [12 Periods]ELECTRIC DRIVES: Type of electric drives, choice of motor, starting and runningcharacteristics, speed control, temperature rise, particular applications of electricdrives, types of industrial loads, continuous, intermittent and variable loads, loadequalization.

UNIT II: [12 Periods]ELECTRIC HEATING: Advantages and methods of electric heating, resistanceheating induction heating and dielectric heating.ELECTRIC WELDING: Electric welding, resistance and arc welding, electricwelding equipment, comparison between A.C. and D.C. Welding.

UNIT III: [12 Periods]ILLUMINATION FUNDAMENTALS: Introduction, terms used in illumination,

laws of illumination, polar curves, photometry, integrating sphere, sources of light.

VARIOUS ILLUMINATION METHODS: Discharge lamps, MV and SV lamps –comparison between tungsten filament lamps and fluorescent tubes, Basic principlesof light control, Types and design of lighting and flood lighting.

UNIT IV: [12 Periods]ELECTRIC TRACTION – I: System of electric traction and track electrification.Review of existing electric traction systems in India. Special features of tractionmotor, methods of electric braking-plugging rheostatic braking and regenerativebraking.ELECTRIC TRACTION – II: Mechanics of train movement. Speed-time curves fordifferent services – trapezoidal and quadrilateral speed time curves.

UNIT V: [12 Periods]ELECTRIC TRACTION-III: Calculations of tractive effort, power, specific energyconsumption for given run, effect of varying acceleration and braking retardation,adhesive weight and braking retardation adhesive weight and coefficient of adhesion.

TEXT BOOKS:1. Utilisation of Electric Energy – by E. Openshaw Taylor, Orient Longman.2. Art & Science of Utilization of electrical Energy – by Partab, Dhanpat Rai & Sons.

REFERENCE BOOKS:1. Utilization of Electrical Power including Electric drives and Electric traction – byN.V.Suryanarayana, New Age International (P) Limited, Publishers, 1996.2. Generation, Distribution and Utilization of electrical Energy – by C.L. Wadhwa,New Age International (P) Limited, Publishers, 1997.

OPEN ELECTIVE-II (A)FINITE ELEMENT ANALYSIS

MEC 411 Credits : 3Instruction : 3 Periods & 1 Tut/Week Sessional Marks : 40End Exam : 3 Hours End Exam Marks : 60

Course objective:

To introduce the basics of Finite Element techniques and apply the technique to solve one dimensionaland two dimensional engineering problems in areas like analysis of trusses, beams, conduction andconvection heat transfer applications etc.

Course outcomes:

By the end of the course, the student will be able to:1. Understand the basics of FEM, its importance and its applications.2. Solve problems using 1D-element with one degree of freedom per node.3. Solve problems using 1D-element with two degrees of freedom per node4. Solve two dimensional problems using CST and Axisymmetric elements.5. Derive shape functions for higher order elements and apply FEM to conduction and

convection heat transfer, torsion, Potential flow and electrical network.

. SYLLABUS

UNIT-IFundamental concepts 14 PeriodsIntroduction, Historical Background, Stresses and Equilibrium, Boundary conditions, Strain-Displacement relations, Stress-strain relations, Plane stress and Plane strain problems, Temperatureeffects, Initial and Boundary value problems, Classification of boundary value problems, Types ofboundary conditions, Methods for solution of a general field problem-Potential energy method-Rayleigh-Ritz method-Weighted residual methods-Galerkin method, Advantages of FEM over othermethods, Engineering applications of FEM, Convergence requirements.

UNIT-II 12 PeriodsOne-Dimensional ProblemsIntroduction, Finite Element Modelling, Coordinates and Shape Functions, Derivation of Elementstiffness matrix and load vectors using Potential-Energy approach and Galerkin approach, Assemblyof the Global Stiffness Matrix and Load Vector, Properties of Stiffness matrix, The Finite ElementEquations, Treatment of Boundary conditions, Quadratic Shape Functions, Temperature effects-Problems.

UNIT-III 12 PeriodsAnalysis of trussesTrusses-Introduction-Derivation of element stiffness matrix-problems in Plane Trusses.Analysis of beamsBeams-Introduction-Finite Element Formulation, Load vector, Boundary considerations, Shear forceand Bending moment, Beams on Elastic supports.

UNIT-IV 10 Periods

Two-dimensional problems using CST

Introduction-Finite Element Modelling-Constant-Strain Triangle (CST), Problem modelling andBoundary Conditions-Problems.Axisymmetric Solids Subjected To Axisymmetric Loading:Introduction-Axisymmetric Formulation-Finite Element Modelling, Problem Modelling and Boundaryconditions-problems.UNIT-V 12 PeriodsTwo dimensional elements and numerical integrationIntroduction, Iso-parametric, sub-parametric and super-parametric elements, The Four-NodeQuadrilateral, Higher Order Elements, Numerical Integration.Scalar field problemsIntroduction, Steady state heat transfer, Torsion, Potential flow, Direct current Electric ResistanceNetworks

Text books:

1. Tirupathi R. Chandrupatla, Ashok D.Belegundu Introduction to Finite Elements inEngineering, Third edition, Pearson education.

2. S.S.Rao The Finite element method in engineering, 5th edition, Elsevier publications

Reference books:

1. S.S. Bhavakatti, Finite Element Analysis, New Age International publishers, 2009

2. JN Reddy An introduction to the Finite element method, 3rd edition, McGraw-Hill

Web Resources:

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http://nptel.ac.in/courses/112104116/

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