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Maulana Abul Kalam Azad University of Technology, West Bengal(Formerly West Bengal University of Technology)Syllabus for B. Tech in Computer Science & Engineering(Applicable from the academic session 2018-2019)Course Outcomes:On completion of the course students will be able to1. Analyze the complexity/performance of different algorithms.2. Determine the appropriate data structure for solving a particular set of problems.3. Categorize the different problems in various classes according to their complexity.4. Students should have an insight of recent activities in the field of the advanced datastructure.Distributed SystemsCode: PEC-IT601BContact: 3LName of the Course:Distributed SystemsCourse Code: PEC-IT601BDuration:6 monthsTeaching SchemeSemester: VIMaximum Marks:100Examination SchemeTheory:3 hrs./weekTutorial: NILMid Semester exam: 15Assignment and Quiz: 10 marksAttendance: 5 marksEnd Semester Exam:70 MarksPractical: NILCredit Points:3Objective:1To introduce the fundamental concepts and issues of managing large volume of shareddata in a parallel and distributed environment, and to provide insight into relatedresearch problems.Pre-Requisite:1Database Management SystemsUnit1ContentHrs/UnitINTRODUCTIONDistributed data processing; What is a DDBS;Advantages and disadvantages of DDBS; Problemareas; Overview of database and computer networkconcepts DISTRIBUTED DATABASEMANAGEMENT SYSTEM ARCHITECTURETransparencies in a distributed DBMS; DistributedDBMS architecture; Global directory issuesMarks/Unit88PG

Maulana Abul Kalam Azad University of Technology, West Bengal(Formerly West Bengal University of Technology)Syllabus for B. Tech in Computer Science & Engineering(Applicable from the academic session 2018-2019)234.56DISTRIBUTED DATABASEDESIGNAlternative design strategies;Distributed design issues;Fragmentation; Data allocationSEMANTICS DATA CONTROLView management; Data security;Semantic Integrity Control QUERYPROCESSING ISSUESObjectives of query processing;Characterization of query processors;Layers of query processing; Querydecomposition; Localization ofdistributed dataDISTRIBUTEDQUERYOPTIMIZATIONFactors governing query optimization; Centralizedquery optimization; Ordering of fragment queries;Distributed query optimization algorithmsTRANSACTION MANAGEMENTThe transaction concept; Goals of transactionmanagement; Characteristics of transactions;Taxonomy of transaction modelsCONCURRENCY CONTROLConcurrency control in centralized database systems;Concurrency control in DDBSs; Distributedconcurrency control algorithms; DeadlockmanagementReliability issues in DDBSs; Types of failures;Reliability techniques; Commit protocols; Recoveryprotocols AlgorithmPARALLEL DATABASE SYSTEMSParallel architectures; parallel queryprocessing andADVANCED TOPICS MobileDatabases, Distributed ObjectManagement, Multi-databases1111864Text book and Reference books:1. Principles of Distributed Database Systems, M.T. Ozsu and PValduriez,Prentice-Hall, 1991.2. Distributed Database Systems, D. Bell and J. Grimson, AddisonWesley, 1992.9PG

Maulana Abul Kalam Azad University of Technology, West Bengal(Formerly West Bengal University of Technology)Syllabus for B. Tech in Computer Science & Engineering(Applicable from the academic session 2018-2019)Course Outcomes:On completion of the course students will be able to1. Design trends in distributed systems.2. Apply network virtualization.3. Apply remote method invocation and objects.Signals & SystemsCode: PEC-IT601CContacts: 3LName of the Course:Signals & SystemsCourse Code: PEC-IT601CDuration: 6 monthsTeaching SchemeSemester: VIMaximum Marks: 100Examination SchemeTheory:3 hrs./weekTutorial: NILPractical: NILCredit Points:Unit1Mid Semester exam: 15Assignment and Quiz: 10 marksAttendance: 5 marksEnd Semester Exam:70 Marks3ContentIntroduction to Signals and Systems :Signals and systems as seen in everyday life, and invarious branches of engineering and science. Signalproperties: periodicity, absolute integrability,determinism and stochastic character. Some specialsignals of importance: the unit step, the unitimpulse, the sinusoid, the complex exponential,some special time-limited signals; continuous anddiscrete time signals, continuous and discreteamplitude signals. System properties: linearity:additivity and homogeneity, shift-invariance,causality, stability, realizability.Examples.Hrs/UnitMarks/Unit31PG

Maulana Abul Kalam Azad University of Technology, West Bengal(Formerly West Bengal University of Technology)Syllabus for B. Tech in Computer Science & Engineering(Applicable from the academic session 2018-2019)234.Behavior of continuous and discrete-time LTIsystems (8 hours)Impulse response and step response, convolution,input-output behavior with periodic convergentinputs, cascade interconnections. Characterizationof causality and stability of LTI systems. Systemrepresentation through differential equations anddifference equations. State-space Representation ofsystems. State-Space Analysis, Multi-input, multioutput representation. State Transition Matrix andits Role. Periodic inputs to an LTI system, thenotion of a frequency response and its relation tothe impulse response.Fourier, Laplace and z- TransformsFourier series representation of periodic signals,Waveform Symmetries, Calculation of FourierCoefficients. Fourier Transform,convolution/multiplication and their effect in thefrequency domain, magnitude and phase response,Fourier domain duality. The Discrete- Time FourierTransform (DTFT) and the Discrete FourierTransform (DFT). Parseval's Theorem. Review ofthe Laplace Transform for continuous time signalsand systems, system functions, poles and zeros ofsystem functions and signals, Laplace domainanalysis, solution to differential equations andsystem behavior. The z-Transform for discrete timesignals and systems, system functions, poles andzeros of systems and sequences, z-domain analysis.TheSamplingTheoremanditsimplications. Spectra of sampled signals.Reconstruction: ideal interpolator, zeroorder hold, first-order hold. Aliasing and itseffects. Relation between continuous anddiscrete time systems. Introduction to theapplications of signal and system theory:modulation for communication, filtering,feedback control systems.81092PG

Maulana Abul Kalam Azad University of Technology, West Bengal(Formerly West Bengal University of Technology)Syllabus for B. Tech in Computer Science & Engineering(Applicable from the academic session 2018-2019)Text book and Reference books:1. A. V. Oppenheim, A. S. Willsky and S. H. Nawab, “ Signalsand systems”,Prentice Hall India,1997.2. J. G. Proakis and D. G. Manolakis, “ Digital Signal Processing: Principles,Algorithms, and Applications” , Pearson,2006.3. H. P. Hsu, “ Signals and systems”, Schaum’sseries, McGraw Hill Education,2010.4. S. Haykinand B. V. Veen, “ Signals and Systems”, John Wiley and Sons,2007.5. A. V. Oppenheim and R. W. Schafer, “ Discrete-Time SignalProcessing”, Prentice Hall,2009.6. M. J. Robert “ Fundamentals of Signals and Systems”, McGraw HillEducation, 2007.7. B. P. Lathi, “ LinearSystems and Signals”, Oxford University Press,2009.8. A. V. Oppenheim and R. W. Schafer, “ Discrete-Time SignalProcessing”, Prentice Hall,2009.9. M. J. Robert “ Fundamentals of Signals and Systems”, McGraw HillEducation, 2007.10. B. P. Lathi, “ LinearSystems and Signals”, Oxford University Press,2009.11. R. Anand, “Signals and Systems, Khanna Publishing House, 2018.Course Outcomes: On completion of the course students will be able toUnderstand the concepts of continuous time and discrete time systems.Analyse systems in complex frequency domain.Understand sampling theorem and its implications.Understand the concepts of continuous time and discrete time systems.3PG

Maulana Abul Kalam Azad University of Technology, West Bengal(Formerly West Bengal University of Technology)Syllabus for B. Tech in Computer Science & Engineering(Applicable from the academic session 2018-2019)Image ProcessingCode:PEC-IT601 DContact: 3LName of the Course:Image ProcessingCourse Code: PEC-IT601DDuration:6 monthsTeaching SchemeSemester: VIMaximum Marks:100Examination SchemeTheory:3 hrs./weekTutorial: NILPractical: NILCredit Points:Unit123Mid Semester exam: 15Assignment and Quiz: 10 marksAttendance: 5 marksEnd Semester Exam:70 Marks3ContentIntroduction [3L]Background, Digital ImageRepresentation, Fundamental steps inImage Processing, Elements of DigitalImage Processing - Image Acquisition,Storage, Processing, Communication,Display.Digital Image Formation [4L]A Simple Image Model, Geometric Model- BasicTransformation (Translation, Scaling, Rotation),Perspective Projection, Sampling & Quantization Uniform & Non uniform.Mathematical Preliminaries[9L]Neighbour of pixels, Connectivity, Relations,Hrs/Unit9Marks/Unit49Equivalence & Transitive Closure; DistanceMeasures, Arithmetic/Logic Operations, FourierTransformation, Properties of The TwoDimensional Fourier Transform, Discrete FourierTransform, Discrete Cosine & SineTransform.4PG

Maulana Abul Kalam Azad University of Technology, West Bengal(Formerly West Bengal University of Technology)Syllabus for B. Tech in Computer Science & Engineering(Applicable from the academic session 2018-2019)4.56Image Enhancement [8L]Spatial Domain Method, Frequency DomainMethod, Contrast Enhancement -Linear &Nonlinear Stretching, Histogram Processing;Smoothing - Image Averaging, Mean Filter,Low-pass Filtering; Image Sharpening. Highpass Filtering, High- boost Filtering,Derivative Filtering, Homomorphic Filtering;Enhancement in the frequency domain - Lowpass filtering, High pass filtering.Image Restoration [7L]Degradation Model, Discrete Formulation,Algebraic Approach to Restoration Unconstrained & Constrained; ConstrainedLeast Square Restoration, Restoration byHomomorphicFiltering,GeometricTransformation - Spatial Transformation,Gray Level Interpolation.8Image Segmentation [7L]Point Detection, Line Detection, Edgedetection, Combined detection, EdgeLinking & Boundary Detection - LocalProcessing, Global Processing via TheHoughTransform;ThresholdingFoundation, Simple Global Thresholding,Optimal Thresholding; Region OrientedSegmentation - Basic Formulation, RegionGrowing by Pixel Aggregation, RegionSplitting & Merging.77Text book and Reference books:1. Hearn, Baker – “Computer Graphics (C version 2nd Ed.)” – Pearson education2. Z. Xiang, R. Plastock – “ Schaum’s outlines Computer Graphics (2nd Ed.)” – TMH3. D. F. Rogers, J. A. Adams – “Mathematical Elements for Computer Graphics (2nd Ed.)” –TMH5PG

Maulana Abul Kalam Azad University of Technology, West Bengal(Formerly West Bengal University of Technology)Syllabus for B. Tech in Computer Science & Engineering(Applicable from the academic session 2018-2019)Parallel and Distributed AlgorithmsCode: PEC-IT602AContacts: 3LName of the Course:Parallel and Distributed AlgorithmsCourse Code PEC-IT602ADuration: 6 monthsTeaching SchemeSemester: VIMaximum Marks: 100Examination SchemeTheory:3 hrs./weekTutorial: NILPractical: NILCredit Points:Unit1234.5Mid Semester exam: 15Assignment and Quiz: 10 marksAttendance: 5 marksEnd Semester Exam:70 Marks3ContentUNIT-I :Basic Techniques, Parallel Computers forincrease Computation speed, Parallel & ClusterComputingUNIT-II :Message Passing Technique- EvaluatingParallel programs and debugging, Portioning andDivide and Conquer strategies examplesUNIT-III :Pipelining- Techniques computing platform,pipeline programs examplesUNIT-IV:Synchronous Computations, load balancing,distributed termination examples, programming withshared memory, shared memory multiprocessorconstructs for specifying parallelist sharing data parallelprogramming languages and constructs, open MPUNIT-V :Distributed shared memory systems andprogramming achieving constant memory distributedshared memory programming primitives, algorithms –sorting and numerical algorithms.Hrs/UnitMarks/Unit888119Text book and Reference books:1. Parallel Programming, Barry Wilkinson, Michael Allen, Pearson Education, 2nd Edition.2. Introduction to Parallel algorithms by Jaja from Pearson, 1992.6PG

Maulana Abul Kalam Azad University of Technology, West Bengal(Formerly West Bengal University of Technology)Syllabus for B. Tech in Computer Science & Engineering(Applicable from the academic session 2018-2019)Data Warehousing and Data MiningCode: PEC-IT602BContacts: 3LName of the Course:Data Warehousing and Data MiningCourse Code PEC-IT602BDuration: 6 monthsTeaching SchemeSemester: VIMaximum Marks: 100Examination SchemeTheory:3 hrs./weekTutorial: NILPractical: NILCredit Points:Unit1234.Mid Semester exam: 15Assignment and Quiz: 10 marksAttendance: 5 marksEnd Semester Exam:70 Marks3ContentHrs/UnitUnit 1:Introduction to Data Warehousing; Data Mining:Mining frequent patterns,association and correlations; Sequential Pattern Miningconcepts, primitives,scalable methods;Unit 2:Classification and prediction; Cluster Analysis – Typesof Data in Cluster Analysis,Partitioning methods, Hierarchical Methods;Transactional Patterns and othertemporal based frequent patterns,Unit 3:Mining Time series Data, Periodicity Analysis for timerelated sequence data, Trend analysis, Similarity searchin Time-series analysis;Unit 4:Mining Data Streams, Methodologies for stream dataprocessing and stream datasystems, Frequent pattern mining in stream data,Sequential Pattern Mining inData Streams, Classification of dynamic data streams,Class Imbalance on for communication,filtering, feedback control systems.Marks/Unit888117PG

Maulana Abul Kalam Azad University of Technology, West Bengal(Formerly West Bengal University of Technology)Syllabus for B. Tech in Computer Science & Engineering(Applicable from the academic session 2018-2019)Unit 5:Web Mining, Mining the web page layout structure,mining web link structure,mining multimedia data on the web, Automaticclassification of web documentsand web usage mining; Distributed Data Mining.Unit 6:Recent trends in Distributed Warehousing and DataMining, Class ImbalanceProblem; Graph Mining; Social Network Analysis95Text book and Reference books:1. Data Warehousing Fundamentals for IT Professionals, Second Edition by PaulrajPonniah, Wiley India.2. Data Warehousing, Data Mining, & OLAP – Second Edition by Alex Berson andStephen J. Smith, Tata McGraw Hill Education3. Data warehouse Toolkit by Ralph Kimball, Wiley India4. Data Mining & Warehousing by Ikvinderpal Singh, Khanna Publishing House5. Jiawei Han and M Kamber, Data Mining Concepts and Techniques,, Second Edition,Elsevier Publication, 2011.6. Vipin Kumar, Introduction to Data Mining - Pang-Ning Tan, Michael Steinbach,Addison Wesley,2006.7. G Dong and J Pei, Sequence Data Mining, Springer, 2007.Course Outcomes:After completion of course, students would be:1. Study of different sequential pattern algorithms2. Study the technique to extract patterns from time series data and it application in realworld.3. Can extend the Graph mining algorithms to Web mining4. Help in identifying the computing framework for Big Data8PG

Maulana Abul Kalam Azad University of Technology, West Bengal(Formerly West Bengal University of Technology)Syllabus for B. Tech in Computer Science & Engineering(Applicable from the academic session 2018-2019)Human Computer InteractionCode:PEC-IT602CContact: 3LName of the Course:Course Code: PEC-IT602CDuration: 6 monthsTeaching SchemeHuman Computer InteractionSemester: VIMaximum Marks:100Examination SchemeTheory:3 hrs./weekTutorial: NILMid Semester exam: 15Assignment and Quiz: 10 marksAttendance : 5 marksEnd Semester Exam :70 MarksPractical: NILCredit Points:3Objective:1Learn the foundations of Human Computer Interaction2Be familiar with the design technologies for individuals and persons with disabilities3Be aware of mobile Human Computer interaction4Learn the guidelines for user interface.Pre-Requisite:1Computer Organization &ArchitectureUnitContent1Human: I/O channels – Memory – Reasoning and problem solving;The computer: Devices – Memory – processing and networks;Interaction: Models – frameworks – Ergonomics – styles – elements –interactivity- Paradigms.Interactive Design basics – process – scenarios – navigation – screendesign –Iteration and prototyping. HCI in software process – software life cycle–usability engineering – Prototyping in practice – design rationale.Design rules– principles, standards, guidelines, rules. Evaluation Techniques –UniversalDesign.Cognitive models –Socio-Organizational issues and stake holderrequirements–Communication and collaboration models-Hypertext,Multimedia and WWW.23.Hrs/Unit9Marks/Unit1189PG

Maulana Abul Kalam Azad University of Technology, West Bengal(Formerly West Bengal University of Technology)Syllabus for B. Tech in Computer Science & Engineering(Applicable from the academic session 2018-2019)4.Mobile Ecosystem: Platforms, Application frameworks- Types ofMobileApplications: Widgets, Applications, Games- Mobile InformationArchitecture,Mobile 2.0, Mobile Design: Elements of Mobile Design,Tools.85.Designing Web Interfaces – Drag & Drop, Direct Selection, ContextualTools,Overlays, Inlays and Virtual Pages, Process Flow. CaseStudies.Recent Trends: Speech Recognition and Translation,Multimodal System86.3Text book and Reference books:1. Theodor Richardson, Charles N Thies, Secure Software Design, Jones & Bartlett2. Kenneth R. van Wyk, Mark G. Graff, Dan S. Peters, Diana L. Burley, Enterprise SoftwareSecurity,Addison Wesley.Course Outcomes:On completion of the course students will be able to1. Differentiate between various software vulnerabilities.2. Software process vulnerabilities for an organization.3. Monitor resources consumption in a software.4. Interrelate security and software development process.10PG

Maulana Abul Kalam Azad University of Technology, West Bengal(Formerly West Bengal University of Technology)Syllabus for B. Tech in Computer Science & Engineering(Applicable from the academic session 2018-2019)Pattern RecognitionCode: PEC-IT602DContact: 3LName of the Course:Pattern RecognitionCourse Code: PEC-IT602DDuration:6 monthsTeaching SchemeSemester: VIMaximum Marks:100Examination SchemeTheory:3 hrs./weekTutorial: NILPractical: NILCredit Points:Unit1234.56Mid Semester exam: 15Assignment and Quiz: 10 marksAttendance: 5 marksEnd Semester Exam:70 Marks3ContentBasics of pattern recognitionHrs/Unit2Bayesian decision theory 8LClassifiers, Discriminant functions, DecisionsurfacesNormal density and discriminant functionsDiscrete features8Parameter estimation methods 6LMaximum-Likelihood estimationGaussian

Database Management Systems, R.P. Mahapatra, Khanna Publishing House, New Delhi (AICTE Recommended Textbook – 2018) Maulana Abul Kalam Azad University of Technology, West Bengal (Formerly West Bengal University of Technology) S