B.Tech. Degree Programme Computer Science & Engineering

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B.Tech. Computer Science & Engineering (Regular)transportation planning; urban conservation;National Building Code of India 1983 guidelines;norms for planting of shrubs, trees, etc.TEXT BOOKHiraskar G. K., “Fundamentals of Town Planning”,Dhanpat Rai & Co, 2001REFERENCE BOOKS1. Rangwala S. C. and Krishnarjun N., “Town Planning”,Charotar Publishing House, Anand, 1985.2. Pramar V. S., “Design Fundamentals inArchitecture”, Somaiya Publications, New Delhi.REFERENCE WEB SITE1. www.jadavpur.edu/academics/.../Architecture/archsyl.htm2. www.oauife.edu.ng/faculties/edm/arch/coursedescription.pdf3. www.unitytempleutrf.org/Unity%20Temple%20Teaches.pdfissuu.com/brentallpress/docs/adr3_vol3_1CH-471ADVANCED APPLIED L T P CrCHEMISTRY 5 0 0 3OBJECTIVETo make students familiar with the concept of chemistryassociated with dairy life, with the general method ofanalysis and other aspects related to engineering field.1. FUELS & PETROCHEMICALS TECHNOLOGY:Classification of fuels; coal biomass; biogasdetermination of calorific values using bombcalorimeter; bio- fuels and liquid fuels; generalconsideration of petrochemicals; an overview ofpetroleum refining; petroleum transpiration; anelementary ideas of petrochemicals; petroleumrefining -catalytic cracking & naptha reforming.2. CHEMICALS TOXICOLOGY: Introduction; kind oftoxic pollutants; toxic chemicals in air water & soil;toxic elements in waste water; carcinogenesis,impact of toxic chemicals on enzymes; biochemicaleffects of As ,Cd, Pg, Hg, CO, NO 2 , O 3 CN- Toxicmetal pollutants; Toxic minerals and dust; Toxicorganic compounds .3. ENVIRONMENTAL HAZARDS & POLLUTION:Cause; Effects; control & measures of waterpollution; soil pollution; thermal pollution; Nuclearpollution; solid waste management; industrialwaste & bio-medical waste management; cause;effects & control measures of urban & industrialwaste.4. INDUSTRIAL WASTE MANAGEMENT:Magnitude of industrial waste generation & theircharacteristics; effluent standards for disposal intowater bodies; waste water characterization &process survey; advanced treatment &sludgehanding; combined treatment of raw industrialwaste with sewage; common effluent treatment forindustrial estates; management of industrial wastefrom small scale industries.5. Selection procedure for physical; chemical &biochemical methods of industrial waste watertreatment.6. CORROSION & ITS CONTROL: Introduction; drycorrosion; wet corrosion; mechanism of wetcorrosion galvanic corrosion; concentration; Cell;corrosion fitting corrosion; inergranular corrosion;waterline corrosion; stress corrosion; galvanicseries; factors influencing corrosion; controlmethods.7. POLYMER TECHNOLOGY: Introduction of naturaland synthetic polymers; classification of polymerson different basis; Natural rubber; Source;Formula; Elasticity of rubber; chemical relativity;properties; isomerism in rubber; vulcanized rubberand its uses .8. ADVANCED ANALYTICAL METHODS: Thermoanalytical methods; Thermo gravimetric analysis(TGA); Differential thermal analysis (DTA);Differential scanning calorimetry (DSC);Instrumentation; Flame photometry;spectrophotometry; conductometry; conductometrychromatographic methods; Adsorption; liquid -liquid partition; ion-exchange; paper & thin-layerchromatography; gas chromatography; HPLC &Electrophorisis.TEXT BOOKJain & Jain, “Engineering Chemistry”, Dhanpat RaiPublishing Co.REFERENCE BOOKS1. Drago, “Physical Methods of Chemistry”.2. Hutzinger, “Hand Book of EnvironmentalChemistry”, Springer Verlag3. Fristschen L. J. and Gay L. W., “EnvironmentalInstrumentation”, Springer Verlag4. Bhatia H. S., “Environmental Pollution andControl”, Galgotia Publications, 20035. Khopkar S. M., “Basic Concept of AnalyticalChemistry”, 2nd edition, New Age Publications, 1998CS-303COMPUTER GRAPHICSL T P Cr5 0 0 3OBJECTIVEStudents completing this course are expected to beable to:• Write programs that utilize the OpenGL graphicsenvironment.• Use polygonal and other modeling methods todescribe scenes.• Understand and be able to apply geometrictransformations.• Create basic animations.• Understand scan-line, ray-tracing, and radiosityrendering methodsPRE-REQUISITESKnowledge of computer programming, 2D and 3Dgeometry1. INTRODUCTION: What is computer graphics,computer graphics applications, computer graphicshardware and software, two dimensional graphicsprimitives: points and lines, line drawingalgorithms: DDA, Bresenham’s; circle drawing84
Lingaya’s University, Faridabadalgorithms: using polar coordinates, Bresenham’scircle drawing, mid point circle drawing algorithm;polygon filling algorithm, boundary filled algorithm,scan-line algorithm, flood fill algorithm.2. TWO DIMENSIONAL VIEWING: The 2-D viewingpipeline, windows, viewports, window to view portmapping; clipping: point, clipping line (algorithms):4 bit code algorithm, Sutherland-Cohen algorithm,parametric line clipping algorithm (Cyrus Beck).3. POLYGON CLIPPING ALGORITHM: Sutherland-Hodgeman polygon clipping algorithm,homogeneous coordinates system, twodimensional transformations: transformations,translation, scaling, rotation, reflection, shearing,transformation, composite transformation.4. THREE DIMENSIONAL GRAPHICS: Threedimensional graphics concept, matrixrepresentation of 3-D transformations, compositionof 3-D transformation; viewing in 3D: projections,types of projections; the mathematics of plannergeometric projections; coordinate systems.5. HIDDEN SURFACE REMOVAL: Introduction tohidden surface removal; the Z- buffer algorithm,scan-line algorithm, area sub-division algorithm.6. REPRESENTING CURVES AND SURFACES:Parametric representation of curves: Beziercurves, B-Spline curves; parametric representationof surfaces; interpolation method.7. ILLUMINATION, SHADING, IMAGEMANIPULATION: Illumination models, shadingmodels for polygons, shadows, transparency; whatis an image, filtering, image processing, geometrictransformation of images.TEXT BOOKFoley James D., van Dam Andeies, Feiner Stevan K.and Hughes Johb F., “Computer Graphics Principlesand Practices”, 2nd Edition, Addision Wesley, 2000REFERENCE BOOKS1. Hearn Donald and Baker M. Pauline, “ComputerGraphics”, 2nd Edition, Prentice Hall of India, 19992. Rogers David F., “Procedural Elements forComputer Graphics”, 2nd Edition, Tata McGrawHill, 20013. Watt Alan, “Fundamentals of 3-DimensionalComputer Graphics”, Addision Wesley, 19994. John Corrign, “Computer Graphics: Secrets andSolutions”, BPB Publications, 19945. Krishanmurthy N., “Introduction to ComputerGraphics”, Tata McGraw Hill, 2002WEB REFERENCES1. http://en.wikipedia.org/wiki/Computer_graphics2. http://www.cgw.com/ME2/Default.asp3. http://www.graphics.cornell.edu/online/tutorial/4. http://graphics.stanford.edu/CS-402ARTIFICIAL INTELLIGENCEL T P Cr5 0 0 3OBJECTIVETo introduce about artificial intelligence approaches toproblem solving, various issues involved andapplication areasPRE-REQUISITESKnowledge of neural networks, data structures1. INTRODUCTION TO AI AND SEARCHTECHNIQUES: Foundation and history of AI; data,information and knowledge; AI problems andtechniques – AI programming languages, problemspace representation with examples; blind searchstrategies, breadth first search, depth first search,heuristic search techniques: hill climbing: best firstsearch, A * algorithm AO* algorithm, Means-endsanalysis.2. KNOWLEDGE REPRESENTATION ISSUES:predicate logic; logic programming; constraintpropagation; representing knowledge using rules.3. REASONING UNDER UNCERTAINITY:Reasoning under uncertainty, non monotonicreasoning; review of probability; Bayes’probabilistic interferences and Dempster Shafertheory; heuristic methods; symbolic reasoningunder uncertainty; statistical reasoning, fuzzyreasoning.4. PLANNING & GAME PLAYING: Minimax searchprocedure; goal stack planning; non linearplanning, hierarchical planning, planning insituational calculus; representation for planning;partial order planning algorithm5. LEARNING: Basic concepts; rote learning,learning by taking advices, learning by problemsolving, learning from examples, discovery aslearning, learning by analogy; explanation basedlearning; neural nets; genetic algorithms.6. OTHER KNOWLEDGE STRUCTURES: semanticnets, partitioned nets, parallel implementation ofsemantic nets; frames, common sense reasoningand thematic role frames; architecture of knowledgebased system; rule based systems; forward andbackward chaining; frame based systems.7. APPLICATIONS OF ARTIFICIAL INTELLIGENCE:Principles of natural language processing; rulebased systems architecture; expert systems,knowledge acquisition concepts; AI application torobotics, and current trends in intelligent systems;parallel and distributed AI: psychological modeling,parallelism in reasoning systems, distributedreasoning systems and algorithmsTEXT BOOKRich Elaine, Knight Kevin and Nair, “ArtificialIntelligence”, 3rd Edition, Tata McGraw Hill, 2009REFERENCE BOOKS1. Nilson Nils J., “Artificial Intelligence”, New YorkMcGraw-Hill, 1971.2. Russell Stuart and Norvig Peter, “ArtificialIntelligence: A Modern Approach”, Prentice Hall ofIndia, 19983. Negnevitsky, “Artificial Intelligence: A Guide toIntelligent System”, Pearson Education, 2004.4. Patterson O. W., “Introduction to ArtificialIntelligence & Expert Systems”, Prentice Hall ofIndia, 1996.5. Winston Patrick Henry, “Artificial Intelligence”, 3rdEdition, Addition Wesley, 19926. Clockson & Mellish, “Programming PROLOG”,Narosa Publications, 3rd Edition, 2002.85
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B.Tech. Degree Programme Computer Science & Engineering

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