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*Technical Seminar: Seminar on Advanced topics from refereed journals by each student.
ELECTIVE - I ELECTIVE - II
Sl. No Subject Code Subject title
1 20CSE151 Advanced Design of Pre-stressed Concrete Structures
2 20CSE152 Special Concrete
3 20CSE153 Design of Pre-cast and Composite Structures
4 20CSE154 Reliability Analysis of Structures
Sl. No Subject Code Subject title
1 20CSE161 Optimization Techniques
2 20CSE162 Composites and Smart materials
3 20CSE163 Advanced Structural Mechanics
4 20CSE164 Earth and Earth Retaining Structures
Syllabus for 2020-21 Batch PG (CSE) Semester: I
Course Title: COMPUTATIONAL STRUCTURAL MECHANICS
Course Code: 20CSE11 CIE + Assignment + Group Activity + Seminar + SEE Marks
= 30 + 10 + 5 + 5 + 50 = 100 Credits: 03
Hours: 52 Hrs. (L:T:P:S:4:0:0:0) SEE Duration: 3 Hrs.
Course Learning Objectives:
1 To make students to learn principles of Structural Analysis,
2 To implement these principles through different methods and to analyze various types of structures.
3 To evaluate the force and displacement parameters of the structures by Flexibility and Stiffness matrix methods.
UNIT – I
FUNDAMENTAL CONCEPTS:
Static and Kinematic indeterminacy, Concepts of stiffness and flexibility. Energy concepts. Principle of minimum potential energy and minimum complementary energy. Development of
element flexibility and element stiffness matrices for truss, beam and grid elements.
12 Hrs
UNIT – II
ANALYSIS USING FLEXIBILITY METHOD:
Force-transformation matrix using Flexibility method, Development of global flexibility matrix for
continuous beams, plane trusses and rigid plane frames(having not more than six co- ordinates–
6x6 flexibility matrix) Analysis of continuous beams, plane trusses and rigid plane frames by
flexibility method (having not more than 3coordinates– 3x3 flexibility matrix)
10 Hrs
UNIT – III
ANALYSIS USING STIFFNESS METHOD:
Displacement-transformation matrix using Stiffness Method, Development of global stiffness
matrix for continuous beams, plane trusses and rigid plane frames (having not more than six co-
ordinates –6x6 stiffness matrix) Analysis of continuous beams, plane trusses and rigid plane frames by stiffness method(having not more than 3coordinates– 3x3 stiffness matrix)
10 Hrs
UNIT – IV
EFFECTS OF TEMPERATURE CHANGE AND LACK OF FIT: Related numerical problems by flexibility and stiffness method as in Chapters 2 and 3.
10 Hrs
UNIT – V (Blended Learning)
SOLUTION TECHNIQUES:
Solution techniques including numerical problems for simultaneous equation, Gauss elimination
and Cholesky method. Bandwidth consideration.
10 Hrs
Course Outcomes: The students will be able to
1 Apply the concepts of flexibility and stiffness matrices.
2 Apply knowledge of local and global coordinate system to develop displacement transformation matrices.
3 Solve Civil Engineering problems with respect to various storage schemes.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks. • Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub - questions) from each unit.
• Each full question will have sub - question covering all the topics under a unit. • The students will have to answer five full questions, selecting one full question from each unit.
Text Books:
1 Weaver W and Gere J H, “Matrix Analysis of Framed Structures”, CBS publications, New Delhi.
2 Rajasekaran S, “Computational Structural Mechanics”, PHI, New Delhi.
3 Madhujit Mukhopadhay and Abdul Hamid Sheikh, “Matrix and Finite Element Analysis of Structures”, Ane Books Pvt. Ltd.
Reference Books:
1 H C Martin, “Introduction to Matrix Methods in Structural Analysis”, International textbook company, McGraw Hill.
2 A K Jain, “Advanced Structural Analysis”, Nemchand Publications, Roorkee.
3 Manikaselvam, “Elements of Matrix Analysis and Stability of Structures”, Khanna Publishers, NewDelhi.
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Syllabus for 2020-21 Batch PG (CSE)
Semester: I
Course Title: ADVANCED DESIGN OF RCC STRUCTURES
Course Code: 20CSE12 CIE + Assignment + Group Activity + Seminar + SEE Marks
= 30 + 10 + 5 + 5 + 50 = 100 Credits: 03
Hours: 52 Hrs. (L:T:P:S:4:0:0:0) SEE Duration: 3 Hrs.
Course Learning Objectives:
1 To learn principles of Structural Design.
2 To design different types of structures and to detail the structures.
3 To evaluate performance of the structures.
UNIT – I
Yield line method of design of slabs. Design of flat Slabs. 12 Hrs
UNIT – II
Design of grid floors, Design of Chimneys. 10 Hrs
UNIT – III
Design of continuous beams with redistribution of moments. 10 Hrs
UNIT – IV
Design of silos and bunkers. 10 Hrs
UNIT – V (Blended Learning)
Art of detailing earthquake resistant structures. Expansion and contraction joints. 10 Hrs
Course Outcomes: The students will be able to
1 Achieve Knowledge of design and development of problem solving skills.
2 Summarize the principles of Structural Design and detailing.
3 Understands the structural performance.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks. • Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub - questions) from each unit.
• Each full question will have sub - question covering all the topics under a unit.
• The students will have to answer five full questions, selecting one full question from each unit.
Text Books:
1 P.C. Varghese, "Advanced Reinforced Concrete Design”, Prentice-Hall of India, New Delhi, 2005.
2 Dr. B.C.Punmia, Ashok Kumar Jain and Arun Kumar Jain, “Comprehensive RCC Design”
3 A Park and Paulay, “Reinforced and Prestressed Concrete”
Reference Books:
1 Pillai and Menon “Reinforced Concrete Design" McGraw Hill.
2 Bungey and Mosley “Reinforced concrete. Palgrave – Macmillan
3 Lin TY and Burns N H, “Reinforced Concrete Design".
4 Kong KF and Evans T H “Design of Prestressed Concrete Structures”.
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Syllabus for 2020-21 Batch PG (CSE)
Semester: I
Course Title: MECHANICS OF DEFORMABLE BODIES
Course Code: 20CSE13 CIE + Assignment + Group Activity + Seminar + SEE Marks = 30 + 10 + 5 + 5 + 50 = 100 Credits: 03
Hours: 52 Hrs. (L:T:P:S:4:0:0:0) SEE Duration: 3 Hrs.
Course Learning Objectives:
1 To make students to learn principles of Analysis of Stress and Strain.
2 To predict the stress- strain behaviour of continuum.
3 To evaluate the stress and strain parameters and their interrelations of the continuum.
UNIT – I
Theory of Elasticity:
Introduction: Definition of stress and strain and strain at a point, components of stress and
strain at appoint of Cartesian and polar co-ordinates. Constitutive relations, equilibrium equations, compatibility equations and boundary conditions in 2-D and 3-D cases.
12 Hrs
UNIT – II
Transformation of stress and strain at a point, Principal stresses and principal strains,
invariants of stress and strain, hydrostatic and deviatric stress, spherical and deviatoric strains, max. Shear strain.
10 Hrs
UNIT – III
Plane stress and plane strain:
Airy’s stress function approach to 2-D problems of elasticity, simple problems of bending of
beams. Solution of axi-symmetric problems, stress concentration due to the presence of a
circular hole in plates.
10 Hrs
UNIT – IV
Elementary problems of elasticity in three dimensions, stretching of a prismatic bar by its own
weight, twist of circular shafts, torsion of non-circular sections, membrane analogy, Propagation of waves in solid media. Applications of finite difference equations in elasticity.
10 Hrs
UNIT – V (Blended Learning)
Theory of Plasticity:
Stress – strain diagram in simple tension, perfectly elastic, Rigid – Perfectly plastic, Linear
work – hardening, Elastic Perfectly plastic, Elastic Linear work hardening materials, Failure
theories, yield conditions, stress – space representation of yield criteria through Westergard
stress space, Tresca and Von-Mises criteria of yielding.
10 Hrs
Course Outcomes: The students will be able to
1 Apply the basic theory of elasticity in two and three dimensional state of stress.
2 Analyze the behavior of solids of different shapes/forms, under different loads and boundary conditions.
3 Evaluate the stresses, strains, and establish governing equations in two and three dimensional problems.
4 Apply the plasticity theory, failure theories and their significance in the design of members.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks. • Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub - questions) from each unit.
• Each full question will have sub - question covering all the topics under a unit. • The students will have to answer five full questions, selecting one full question from each unit.
Text Books:
1 S P Timoshenko and J N Goodier, “Theory of Elasticity”, McGraw-Hill International Edition, 1970
3 L S Srinath, “Advanced Mechanics of Solids”, Tata - McGraw-Hill Pub., New Delhi, 2003.
4 P.G. Seetharamu and L Govindaraju “Applied Elasticity Interline Publishing 2005.
Reference Books:
1 G. W. Housner and T. Vreeland, Jr., “The Analysis of Stress and Deformation”, California Institute of Tech.CA, 2012.
2 Abdel-Rahman Ragab and Salah EldininBayoumi, “Engineering Solid Mechanics: Fundamentals and Applications”,CRC Press, 1998.
3 A. C. Ugural and Saul K.Fenster, “Advanced Strength and Applied Elasticity”, PrenticeHall, 2003.
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Syllabus for 2020-21 Batch PG (CSE)
Semester: I
Course Title: STRUCTURAL DYNAMICS
Course Code: 20CSE14 CIE + Assignment + Group Activity + Seminar + SEE Marks = 30 + 10 + 5 + 5 + 50 = 100 Credits: 03
Hours: 52 Hrs. (L:T:P:S:4:0:0:0) SEE Duration: 3 Hrs.
Course Learning Objectives:
1 To learn principles of Structural Dynamics.
2 To implement these principles through different methods and to apply the same for free and forced vibration of structures.
3 To evaluate the dynamic characteristics of the structures.
UNIT – I
Introduction:
Introduction to Dynamic problems in Civil Engineering, Concept of degrees of freedom,
D’Alembert’s principle, principle of virtual displacement and energy, principles Dynamics of
Single-degree-of-freedom systems: Mathematical models of Single-degree-of-freedom
systems system, Free vibration response of damped and undamped systems. Methods of
evaluation of damping.
12 Hrs
UNIT – II
Response of Single-degree-of-freedom systems to harmonic loading (rotation unbalance,
reciprocating unbalance) including support motion, vibration isolation, transmissibility,
Numerical methods applied to Single-degree-of-freedom systems - Duhamel integral, principle of vibration-measuring instruments – seismometer and accelerometer.
10 Hrs
UNIT – III
Dynamics of Multi-degree freedom systems:
Mathematical models of multi-degree-of-freedom systems, Shear building concept, free
vibration of undamped multi-degree-of-freedom systems - Natural frequencies and mode shapes
– orthogonality property of modes.
10 Hrs
UNIT – IV
Response of Shear buildings for harmonic loading without damping using normal mode
approach. Response of Shear buildings for forced vibration for harmonic loading with damping using normal mode approach, condition of damping uncoupling.
10 Hrs
UNIT – V (Blended Learning)
Approximate methods:
Rayleigh’s method Dunkarley’s method, Stodola’s method. Dynamics of Continuous systems:
Free longitudinal vibration of bars, flexural vibration of beams with different end conditions,
Stiffness matrix, mass matrix (lumped and consistent); equations of motion for the discretized
beam in matrix form.
10 Hrs
Course Outcomes: The students will be able to
1 Analyse multi-storey frames and draw mode shapes of vibrations.
2 Develop the equation of motion of undamped and under damped multi degree of freedom systems subjected to free and forced vibration.
3 Achieve Knowledge of design and development of problem solving skills.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks. • Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub - questions) from each unit.
• Each full question will have sub - question covering all the topics under a unit. • The students will have to answer five full questions, selecting one full question from each unit.
3 Timoshenko, S., “Vibration Problems in Engineering”, VanNostrand Co.,
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Syllabus for 2020-21 Batch PG (CSE)
Semester: I
Course Title: ADVANCED DESIGN OF PRE-STRESSED CONCRETE STRUCTURES
Course Code: 20CSE151 CIE + Assignment + Group Activity + Seminar + SEE Marks
= 30 + 10 + 5 + 5 + 50 = 100 Credits: 03
Hours: 52 Hrs. (L:T:P:S:4:0:0:0) SEE Duration: 3 Hrs.
Course Learning Objectives:
1 To understand the behaviour of pre-stressed elements.
2 To analyse and design of pre-stressed concrete elements.
UNIT – I
LOSSES OF PRESTRESS :
Loss of prestress in pre-tensioned and post- tensioned members due to various causes like
elastic shortening of concrete, shrinkage of concrete, creep of concrete, relaxation of steel,
slip in anchorage, bending of member and frictional loss – Analysis of sections for flexure.
12 Hrs
UNIT – II
DESIGN OF SECTION FOR FLEXURE:
Allowable stresses, Elastic design of simple beams having rectangular and I-section for
flexure, kern lines, cable profile and cable layout.
Design of Sections for Shear: Shear and Principal stresses, Improving shear resistance
by different prestressing techniques- horizontal, sloping and vertical prestressing,
Analysis of rectangular and I–beam, Design of shear reinforcement, Indian code
provisions..
10 Hrs
UNIT – III (Blended Learning)
DEFLECTIONS OF PRESTRESSED CONCRETE BEAMS:
Short term deflections of uncracked members, Prediction of long-term deflections, load–
deflection curve for a PSC beam, IS code requirements for maximum deflections.
10 Hrs
UNIT – IV
TRANSFER OF PRESTRESS IN PRETENSIONED MEMBERS :
Transmission of prestressing force by bond, Transmission length, Flexural bond stresses, IS
code provisions, Anchorage zone stresses in post tensioned members, stress distribution in
End block, Anchorage zone reinforcements.
10 Hrs
UNIT – V
STATICALLY INDETERMINATE STRUCTURES:
Advantages and disadvantages of continuous PSC beams, Primary and secondary moments, P
and C lines, Linear transformation, concordant and non-concordant cable profiles, Analysis of
continuous beams.
10 Hrs
Course Outcomes: The students will be able to
1 Achieve Knowledge of design and development of problem solving skills.
2 Analyse, Design and detail PSC elements.
3 Understand the concept of Pre stressed and Post tensioned concrete.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks. • Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub - questions) from each unit.
• Each full question will have sub - question covering all the topics under a unit. • The students will have to answer five full questions, selecting one full question from each unit.
Text Books:
1 Design of Prestressed concrete structures - Lin T.Y. and H. Burns - John Wiley & Sons, 1982.
2 Prestressed Concrete - N. Krishna Raju - Tata McGraw Hill, 3rd edition, 1995.
3 Dr.S.N.Sinha & Dr.S.K.Roy, Fundamentals of Prestressed Concrete, S. Chand Publishers.
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Syllabus for 2020-21 Batch PG (CSE)
Semester: I
Course Title: SPECIAL CONCRETE
Course Code:20CSE152 CIE + Assignment + Group Activity + Seminar + SEE Marks
= 30 + 10 + 5 + 5 + 50 = 100 Credits: 03
Hours: 52 Hrs. (L:T:P:S:4:0:0:0) SEE Duration: 3 Hrs.
Course Learning Objectives:
1 To learn principles of Concrete mix design.
2 To differentiate between different types of concrete.
3 To characterize the High Performance concrete.
UNIT – I
Components of modern concrete and developments in the process and constituent materials :
Role of constituents, Development in cements and cement replacement materials, pozzolona, fly
ash, silica fume, rice husk ash, recycled aggregates, chemical admixtures. Mix proportioning of
Concrete: Principles and methods.
12 Hrs
UNIT – II
Light Weight concrete:
Introduction, classification, properties, strength and durability, mix proportioning and problems.
High density concrete: Radiation shielding ability of concrete, materials for high density concrete,
mix proportioning, properties in fresh and hardened state, placement methods.
10 Hrs
UNIT – III
Ferro cement:
Ferrocement materials, mechanical properties, cracking of ferrocement, strength and behaviour in
tension, compression and flexure, Design of ferrocement in tension, ferrocement constructions,
durability, and applications.
10 Hrs
UNIT – IV
Fibre reinforced concrete:
Fibre materials, mix proportioning, distribution and orientation, interfacial bond, properties in fresh
state, strength and behavior in tension, compression and flexure of steel fibre reinforced concrete,
mechanical properties, crack arrest and toughening mechanism, applications.
10 Hrs
UNIT – V (Blended Learning)
High Performance concrete:
Constituents, mix proportioning, properties in fresh and hardened states, applications and
limitations. Ready Mixed Concrete, Self-Compacting Concrete, Reactive powder concrete, and
bacterial concrete (Self-healing Concrete).
10 Hrs
Course Outcomes: The students will be able to
1 Achieve Knowledge of design and development of problem solving skills.
2 Understand the principles of Concrete mix design.
3 Summarize the different types of concrete and its materials used.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks. • Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub - questions) from each unit.
• Each full question will have sub - question covering all the topics under a unit. • The students will have to answer five full questions, selecting one full question from each unit.
Text Books:
1 Neville A.M, “Properties of Concrete” Pearson Education Asis, 2000
2 P. Kumar Mehta, Paul J.N.Monterio, CONCRETE, “Microstructure, Properties and Materials”- Tata McGraw Hill.
3 A.R.Santhakumar, (2007) “Concrete Technology”-Oxford University Press, New Delhi, 2007
4 M.S. Shetty “Concrete Technology”
5 IS: 10262-2009, IS: 456- 2000
Reference Books:
1 Gambhir “Concrete Technology” TMH.
2 Rudnai.G. “Light Wiehgt concrete”- Akademiaikiado, Budapest, 1963.
3 Rixom.R. and Mailvaganam.N., “Chemical admixtures in concrete”- E and FN, Spon London 1999
4 Aitcin P.C. “High performance concrete”-E and FN, Spon London 1998
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Syllabus for 2020-21 Batch PG (CSE)
Semester: I
Course Title: DESIGN OF PRECAST AND COMPOSITE STRUCTURES
Course Code: 20CSE153 CIE + Assignment + Group Activity + Seminar + SEE Marks
= 30 + 10 + 5 + 5 + 50 = 100 Credits: 03
Hours: 52 Hrs. (L:T:P:S:4:0:0:0) SEE Duration: 3 Hrs.
Course Learning Objectives:
1 To Learn the concepts and techniques of precast construction.
2 To select or design precast elements suitable for project specific requirements.
3 To design precast systems to ensure integrity and safety of the structure and to avoid progressive collapse.
4 To design composite floors and beam elements.
UNIT – I
CONCEPTS , COMPONENTS, STRUCTURAL SYSTEMS AND DESIGN OF
PRECAST CONCRETE FLOORS:
Need and types of precast construction, Modular coordination, Precast elements- Floor,
Beams, Columns and walls. Structural Systems and connections.
DESIGN OF PRECAST CONCRETE FLOORS:
Theoretical and Design Examples of Hollow core slabs. Precast Concrete Planks, floor with
composite toppings with and without props.
12 Hrs
UNIT – II
DESIGN OF PRECAST REINFORCED AND PRESTRESSED CONCRETE BEAMS:
Theoretical and Design Examples of ITB – Full section precast, Semi Precast, propped and
uncropped conditions. Design of RC Nibs
10 Hrs
UNIT – III
DESIGN OF PRECAST CONCRETE COLUMNS AND WALLS:
Design of braced and unbraced columns with corbels subjected to pattern and full loading.
Design of Corbels, Design of RC walls subjected to Vertical, Horizontal loads and moments,
Design of vertical ties and horizontal joints.
10 Hrs
UNIT – IV (Blended Learning)
DESIGN OF PRECAST CONNECTIONS AND STRUCTURAL INTEGRITY:
Avoidance of progressive collapse, Design of Structural Ties.
10 Hrs
UNIT – V
DESIGN OF STEEL CONCRETE COMPOSITE FLOORS AND BEAMS
COMPOSITE FLOORS:
Profiled Sheeting with concrete topping, Design method, Bending and Shear Resistance of
Composite Slabs, Serviceability Criteria, Design Example
COMPOSITE BEAMS:
Elastic Behaviour, Ultimate Load behavior of Composite beams, Stresses and deflection in
service and vibration, Design Example of Simply Supported beams.
10 Hrs
Course Outcomes: The students will be able to
1 Achieve Knowledge of design and development of problem solving skills.
2 Explore the concept of precast construction.
3 Learn the principles and Design of Precast and Composite Structures.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks. • Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub - questions) from each unit. • Each full question will have sub - question covering all the topics under a unit.
Text Books:
1 R.P.Johnson: Composite Structure of Steel and Concrete (Volume 1), Blackwell Scientific
Publication (Second Edition), U.K., 1994.
2 S.Ramachandramurthy,Desihn & Construction of Precast Structures, Dipti Press OPC Private Limited – Chennai.
3 R.P.Johnson, Composite structures of Steel & Concrete,Blackwell Publishers.
Reference Books:
1 Hubert Bachmann, Alfred Steinle, Design of Precast Concrete Structures,Ernst & John Publications.
2 David Sheppard – “Plant cast, Precast and Prestressed concrete – McGraw Hill; 1989.
3 NBC – 2005 ( Part I to Part VII) BIS Publications, New Delhi, IS 15916- 2011,IS 11447,IS6061 – I and III
5 IS: 11384, Code of Practice for Composite Construction in Structural Steel and Concrete.
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• The students will have to answer five full questions, selecting one full question from each unit.
Syllabus for 2020-21 Batch PG (CSE)
Semester: I
Course Title: RELIABILITY ANALYSIS OF STRUCTURES
Course Code: 20CSE154 CIE + Assignment + Group Activity + Seminar + SEE Marks = 30 + 10 + 5 + 5 + 100
Credits: 03
Hours: 52 Hrs. (L:T:P:S:4:0:0:0) SEE Duration: 3 Hrs.
Course Learning Objectives:
1 To learn principles of reliability.
2 To implement the Probability Concepts for the Reliability Analysis.
3 To evaluate different methods of reliability analysis.
UNIT – I
Preliminary Data Analysis:
Graphical representation- Histogram, frequency polygon, Measures of central tendency- grouped
and ungrouped data, measures of dispersion and measures of asymmetry. Curve fitting
and Correlation: Fitting a straight line, curve of the form y = ab x, and parabola, Coefficient of
correlation
8 Hrs
UNIT – II
Probability Concepts:
Random events-Sample space and events, Venn diagram and event space, Measures of
probability- interpretation, probability axioms, addition rule, multiplication rule, conditional
probability, probability tree diagram, statistical independence, total probability theorem and
Baye’s theorem.
9 Hrs
UNIT – III
Random variables:
Probability mass function, probability density function, Mathematical expectation, Chebyshev’s
theorem. Probability distributions: Discrete distributions- Binomial and poison distributions, Continuous distributions- Normal, Log normal distributions.
7 Hrs
UNIT – IV
Reliability Analysis:
Measures of reliability-factor of safety, safety margin, reliability index, performance function
and limiting state. Reliability Methods-First Order Second Moment Method (FOSM), Point
Estimate Method (PEM), and Advanced First Order Second Moment Method (Hasofer-Lind’s
method)
8 Hrs
UNIT – V (Blended Learning)
System reliability:
Influence of correlation coefficient, redundant and non-redundant systems-series, parallel and
combined systems, Uncertainty in reliability assessments- Confidence limits, Bayesian revision
of reliability. Simulation Techniques:
Monte Carlo simulation- Statistical experiments, sample size and accuracy, Generation of
random numbers- random numbers with standard uniform distribution, continuous random
variables, discrete random variables.
7 Hrs
Course Outcomes: The students will be able to
1 Achieve Knowledge of design and development of problem solving skills.
2 Understand the principles of reliability.
3 Summarize the Probability distributions.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks. • There will be two full questions (with a maximum of four sub - questions) from each unit.
Text Books:
1 Ranganathan, R. (1999). “Structural Reliability Analysis and design”- Jaico publishing house,
Mumbai, India.
2 Ang, A. H. S., and Tang, W. H. (1984). “Probability concepts in engineering planning and design”- Volume –I, John Wiley and sons, Inc, New York.
3 Ang, A. H. S., and Tang, W. H. (1984). “Probability concepts in engineering planning and design”- Volume –II, John Wiley and sons, Inc, New York.
4 Milton, E. Harr (1987). “Reliability based design in civil engineering”- McGraw Hill book Co.
Reference Books:
1 Nathabdndu, T., Kottegoda, and Renzo Rosso (1998). Statistics, “Probability and reliability for
Civil and Environmental Engineers”- Mc Graw Hill international edition, Singapore.
2 Achintya Haldar and Sankaran Mahadevan (2000). “Probability, Reliability and Statistical methods in Engineering design”- John Wiley and Sons. Inc.
3 Thoft-christensen, P., and Baker, M., J., (1982), “Structural reliability theory and its applications”- Springer-Verlag, Berlin, NewYork.
4 Thoft-christensen, P., and Murotsu, Y. (1986). “Application of structural systems reliability theory”- Springer-Verlag, Berlin, NewYork
5 Srinath, “Reliability analysis of structures”.
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• Each full question will have sub - question covering all the topics under a unit. • The students will have to answer five full questions, selecting one full question from each unit.
Syllabus for 2020-21 Batch PG (CSE)
Semester: I
Course Title: OPTIMIZATION TECHNIQUES
Course Code: 20CSE161 CIE + Assignment + Group Activity + Seminar + SEE Marks
= 30 + 10 + 5 + 5 + 50 = 100 Credits: 03
Hours: 52 Hrs. (L:T:P:S:4:0:0:0) SEE Duration: 3 Hrs.
Course Learning Objectives:
1 To make students learn principles of optimization.
2 To implement the optimization concepts for the structural engineering problems.
3 To evaluate different methods of optimization.
UNIT – I
Introduction:
Introduction to optimization, engineering applications of optimization, Formulation of structural
optimization problems as programming problems.
Optimization Techniques:
Classical optimization techniques, single variable optimization, multivariable optimization with
no constraints, unconstrained minimization techniques and algorithms constrained optimization
solutions by penalty function techniques, Lagrange multipliers techniques and feasibility
techniques.
12 Hrs
UNIT – II
Linear Programming:
Linear programming, standard form of linear programming, geometry of linear programming
problems, solution of a system of linear simultaneous equations, pivotal production of general
systems of equations, simplex algorithms, revised simpler methods, duality in linear programming.
10 Hrs
UNIT – III
Non-linear programming:
Non-linear programming, one dimensional minimization methods, elimination methods, Fibonacci
method, golden section method, interpolation methods, quadratic and cubic methods,
Unconstrained optimization methods, direct search methods, random search methods, descent
methods.
10 Hrs
UNIT – IV
Constrained optimization: Techniques such as direct methods, the complex methods, cutting plane method, exterior penalty
function methods for structural engineering problems. Formulation and solution of structural
optimization problems by different techniques.
10 Hrs
UNIT – V
Geometric programming:
Geometric programming, conversion of NLP as a sequence of LP/ Geometric programming.
Dynamic programming: Dynamic programming conversion of NLP as a sequence of LP/ Dynamic programming.
10 Hrs
Course Outcomes: The students will be able to
1 Understand the principles of optimization and its techniques.
2 Summarize the Linear, Non-linear and Geometric Programming,
3 Ability to apply the knowledge of different programming models for structural optimisation.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
Text Books:
1 Singiresu S. Rao,(2010), “Engineering Optimization (Theory and Practice)” 3rd Edition, New Age International (P) Ltd.
2 Rao S.S.,(1983), “Engineering Optimization-Theory and Applications”, New Age International Publishers
3 Bhavikatti S.S.- “Structural optimization using sequential linear programming”- Vikas publishing house
4 Richard Bronson, “Operation Research”- Schaum’s Outline Series
Reference Books:
1 Jack R. Benjamin & C. Allin Cornell., (2014), “Probability, Statistics and Decision for Engineers”,
McGrawHill.
2 Spunt, “Optimum Structural Design”- Prentice Hall
3 Kirsch U., (1981) “Optimum Structural Design”, McGraw Hill
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• Each full question will be for 20 marks. • There will be two full questions (with a maximum of four sub - questions) from each unit.
• Each full question will have sub - question covering all the topics under a unit.
• The students will have to answer five full questions, selecting one full question from each unit.
Syllabus for 2020-21 Batch PG (CSE)
Semester: I
Course Title: COMPOSITES AND SMART MATERIALS
Course Code: 20CSE162 CIE + Assignment + Group Activity + Seminar + SEE Marks
= 30 + 10 + 5 + 5 + 50 = 100 Credits: 03
Hours: 52 Hrs. (L:T:P:S:4:0:0:0) SEE Duration: 3 Hrs.
Course Learning Objectives:
1 To make students to learn principles of Composite materials.
2 To characterize smart materials.
3 To identify and understand the actuators and sensors.
UNIT – I
Introduction: Introduction to Composite materials, classifications and applications. Anisotropic
Classical composite lamination theory, cross and angle – play lamina, symmetric, anti-symmetric
and general symmetric laminates, mechanical coupling. Analysis of simple laminated structural
elements ply-stress and strain, lamina failure theories
First fly failure, vibration and buckling analysis. Sandwich structure face and core materials,
secondary failure modes environmental effects, manufacturing of composites.
10 Hrs
UNIT – III
Introduction to smart materials and structures – piezoelectric materials – coupled electromechanical constitutive relations – depoling and coercive field – field – strain relation – hysterics – creep –
strain rate effects – manufacturing.
10 Hrs
UNIT – IV
Actuators and sensors: single and dual actuators – pure extension, pure bending – bending
extension relations – uniform strain beam model – symmetric induced strain actuators – bond shearing force – Bernoulli Euler (BE) beam model – embedded actuators.
10 Hrs
UNIT – V
Asymmetric induced strain actuators in uniform strain and Euler – Bernoulli models. Uniform strain
model – energy principle formulation – BE model – single and dual surface bonded actuators
– Extension – bending and torsion model. Introductions to control systems: Open loop and close
loop transfer functions – stability criteria – deflection control of beam like structures – using
piezoelectric sensors and actuators – shape memory alloys.
10 Hrs
Course Outcomes:
1 Classify Composite materials and smart materials with its applications in structural elements.
2 Understand the behaviour of Actuators and sensors.
3 Apply the knowledge of control systems in structural elements.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks. • Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub - questions) from each unit.
• Each full question will have sub - question covering all the topics under a unit. • The students will have to answer five full questions, selecting one full question from each unit.
Text Books:
1 Mechanics of Composite Materials and Structures by M. Mukhopadhya- Universities Press 2009
2 Robart M.Jones, “Mechanical of Composite Materials”- McGraw Hill Publishing Co.
3 Bhagwan D Agarvalm and Lawrence J Brutman, “Analysis and Performance of Fiber Composites”- John Willy and Sons.
Reference Books:
1 Crawley, E and de Luis, J., “Use of Piezoelectric actuators as elements of intelligent structures”- AIAA Journal, Vol.25, No.10, Oct 1987, PP 1373-1385
2 Crawley, E and Anderson, E., “Detailed models of Piezoceramic actuation of beams” - Proc.
of the 30th AIAA/ASME/ASME/ASCE/AHS/ASC – Structural dynamics and material conference, AIAA, Washington DC, 1989
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Syllabus for 2020-21 Batch PG (CSE)
Semester: I
Course Title: ADVANCED STRUCTURAL MECHANICS
Course Code: 20CSE163 CIE + Assignment + Group Activity + Seminar + SEE Marks = 30 + 10 + 5 + 5 + 50 = 100 Credits: 03
Hours: 52Hrs (L:T:P:S:4:0:0:0) SEE Duration: 3 Hrs.
Course Learning Objectives:
1 To make students to acquaint with the principles of structural mechanics to solve Civil / Structural Engineering problems.
2 To make students to acquaint with the principles of Plastic analysis of structures.
3 To make students to acquaint with the lateral load analysis.
UNIT – I
Influence Line Diagram for Indeterminate Structures (ILD):
Muller Breslau principle for determinate and indeterminate structures, Influence lines for bending
moment and shear forces in continuous beams.
12 Hrs
UNIT – II
Kani’s Rotation Contribution method for unsymmetrical frames:
Kani’s method for the analysis of symmetric and asymmetric frames. 10 Hrs
UNIT – III
Plastic Analysis of Structures: Basic principles and advantages. plastic moment, plastic hinge, shape factors and computation
of shape factors for different cross sectional shapes, Plastic collapse, mechanism conditions,
types of mechanisms, combined/composite mechanisms, theorems, applications to the analysis
of simple and continuous beams
10 Hrs
UNIT – IV
Plastic Analysis of Frames and Gable Structures and Plastic Design:
Combined / Composite mechanisms and plastic analysis of frames, Instantaneous centre of
rotation, minimum weight design, plastic design of beams and frames.
10 Hrs
UNIT – V
Analysis of Building Frames for Vertical and Lateral Loads
Analysis of frames subjected to horizontal/lateral loads: portal method, cantilever method, and
factor method, Substitute frame method of analysis/two cycle moment distribution for vertical
loads.
10 Hrs
Course Outcomes: The students will be able to
1 Understand the principles of influence lines for calculation of moments and forces.
2 Perform analysis of frames by Kani’s method.
3 Perform Plastic analysis and design of structures.
4 Analyze the structures subjected to different types of vertical and lateral loadings.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks. • Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub - questions) from each unit.
• Each full question will have sub - question covering all the topics under a unit. • The students will have to answer five full questions, selecting one full question from each unit.
Text Books:
1 Reddy C.S, Basic Structural Analysis, Tata McGraw Hill Publishing Co. Ltd., New Delhi, 1997.
2 Steven C. Chapra and Raymond P. Canale, Numerical Methods for Engineers, Tata McGraw Hill Edition, New Delhi, Third Edition, 2000, ISBN 0-07-042139-0.
3 N. Krishnaraju and K.U. Muthu, Numerical Methods for Engineering Problems, MACMILLAN India Ltd., 1992, SBN 033390-973-9.
Reference Books:
1 Wang C.K, Intermediate Structural Analysis, McGraw Hill Publishing Co., USA, 1983.
2 Pandit G.S and Gupta S.P, Structural Analysis, Tata McGraw Hill, New Delhi, 2001.
3 Rajasekaran S and Sankarasubramanian G, Computational Structural Mechanics, Prentice Hall of India, New Delhi, 2001.
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Syllabus for 2020-21 Batch PG (CSE)
Semester: I
Course Title: EARTH AND EARTH RETAINING STRUCTURES
Course Code: 20CSE164 CIE + Assignment + Group Activity + Seminar + SEE Marks
= 30 + 10 + 5 + 5 + 50 = 100 Credits: 03
Hours: 52 Hrs. (L:T:P:S:3:0:0:0) SEE Duration: 3 Hrs.
Course Learning Objectives:
1 Broadly familiar with the importance of geotechnical engineering problems related field.
2 Understand the types of lateral earth pressure and its use in the design of retaining structures.
3 Check the stability of earthen slopes, retaining walls, sheet piles and braced cuts.
4 Estimation of seepage quantity through earthen dams and sheet piles.
UNIT – I
STABILITY OF EARTH SLOPES:
Types of slopes, causes and type of failure of slopes. Factor of safety, Stability analysis of Infinite
slopes by limiting equillbrium condition, Stability analysis of finite slopes by Swedish slip circle
method, Method of slices, Fellineous method, Taylor’s stability number. Stability of slopes under
steady seepage, sudden drawdown and during construction.
8 Hrs
UNIT – II (Blended Learning)
SEEPAGE ANALYSIS:
Laplace equation, Flow nets – characteristics and applications, Flow nets for sheet piles and below
dam. Phreatic line – A. Casagrande’s method – with and without filter, Flow through dams, Design
of dam filters.
9 Hrs
UNIT – III
LATERAL EARTH PRESSURE:
Types of earth pressure (Active, Passive and at-rest earth pressure). Rankine’s and Coulomb’s Earth
pressure theories – Assumptions and limitations. Rankine’s theory of applications (Dry, moist,
Types of retaining walls, Failure of retaining walls by sliding, overturning and bearing. Stability
and principles of the design of retaining walls – Gravity retaining walls, cantilever retaining walls,
counterfort retaining walls, modes of failure of retaining walls, drainage of the backfill.
8 Hrs
UNIT – V
BULK HEADS:
Cantilever sheet pile walls and Anchored cantilever sheet pile walls in cohesion less soils and in
clay.
BRACED CUTS: Lateral earth pressure on sheeting and Design of various components of bracings.
7 Hrs
Course Outcomes: The students will be able to
1 Estimate the factor of safety against failure of slopes and to compute lateral pressure distribution behind earth retaining structures.
2 Estimate the quantity of seepage through earth retaining structures.
3 Analyse and design the various components and check the safety of retaining wall, sheet pile and braced cut.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub - questions) from each unit. • Each full question will have sub - question covering all the topics under a unit.
Text Books:
1 Soil Mechanics and Foundation Engineering, Punmia B C, Laxmi Publications Co., New Delhi.
2 Basic and Applied Soil Mechanics - Gopal Ranjan and Rao A.S.R. (2000), New Age International (P) Ltd., New Delhi.
3 Geotechnical Engineering - Braja, M. Das (2002), Fifth Edition, Thomson Business Information India (P) Ltd., India
4 Principles of Soil Mechanics and Foundation Engineering- Murthy V.N.S. (1996), 4th Edition, UBS Publishers and Distributors, New Delhi.
Reference Books:
1 Bowles J E, Foundation analysis and design, McGraw- Hill Publications
2 Shashi K. Gulathi & Manoj Datta, Geotechnical Engineering, Tata McGraw Hill Publications
3 T.W. Lambe and R.V. Whitman, Soil Mechanics, John Wiley & Sons.
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• The students will have to answer five full questions, selecting one full question from each unit.
Syllabus for 2020-21 Batch PG (CSE)
Semester: I
Course Title: STRUCTURAL ENGINEERING LABOROTARY
Course Code: 20CSEL17 CIE + Record + SEE Marks = 20 + 30 + 50 = 100 Credits: 02
Hours: 39 Hrs. (L:T:P:S:3:0:0:0) SEE Duration: 3 Hrs.
Course Learning Objectives:
1 To make students to learn principles of design of experiments.
2 To investigate the performance of structural elements.
3 To evaluate the different testing methods and equipment’s.
UNIT – I
Testing of beams for deflection, flexure and shear 12 Hrs
UNIT – II
Experiments on Concrete, including Mix design 9 Hrs
UNIT – III
Experiments on vibration of multi storey frame models for Natural frequency and modes. 9 Hrs
UNIT – IV (Blended Learning)
Use of Nondestructive testing (NDT) equipments – Rebound hammer, Ultra sonic pulse velocity meter and Profometer.
9 Hrs
Course Outcomes: The students will be able to
1 Achieve Knowledge of design and development of experimenting skills.
3 Design and develop analytical skills.
4 Summarize the testing methods and equipments.
Note:
Two questions are to be set from each Unit of 20 marks each and Answer at least one question from
each unit.
References:
NPTL.Com, IISc, Code Books. IS: 456-2000, IS: 10262-2009
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Syllabus for 2020-21 Batch PG (CSE) Semester: I
Course Title: TECHNICAL SEMINAR
Course Code: 20CSES18
CIE = 50 Marks Credits: 02
Hours: 28 Hrs. (L:T:P:S:0:2:0:0)
Course Learning Objectives:
1 To enhance the self-learning capacity of students.
2 Enable them to make a comprehensive approach to new and upcoming areas of technology.
3 Impart training to students to face audience and present their ideas and thus creating in them self- esteem and courage.
Reading Materials:
1 Journal Publication.
2 Conference / Seminar Proceedings.
3 Handbooks / Research Digests/Codebooks.
Course Outcomes: The students will be able to
1 Identify and chose appropriate topic of relevance.
2 Assimilate literature on technical articles of specified topic and develop comprehension.
3 Write technical report.
4 Design and develop presentation on a given technical topic.
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Individual students are required to choose a topic on their field of interest in Structural Engineering
domain preferably from outside the regular curriculum, and give seminar for about 45 minutes before a
committee consisting of at least three faculty members (preferably specialized in Structural Engineering)
shall assess the presentation of the seminar and award marks to the students based on merits of topic of
presentation. Each student shall submit two seminar reported in a specified format design by the
department. One copy shall be returned to the student after certifying by the chairman of the assessing
committee and remaining one will be kept in the departmental library. Internal continuous assessment
marks are awarded based on the relevance topic, presentation skill, quality of the report write up and
participation and Simulations.
SCHEME OF TEACHING AND EXAMINATION I SEMESTER (Autonomous) 2020-21, 2021-22
M. Tech in Machine Design
I SEMESTER
Sl.
No. Sub Code Subject Title
Teaching
Department
Teaching hours per week Maximum Marks
allotted Examination
Credits Lecture
Tutorial/
Seminar/
Assignment
Practical
/
Project
CIE SEE Total
1 20xxx11 MAT 4 - - 50 50 100 3
2 20MMD12 Advanced
Mechanics of
Solids
MECH 4 - - 50 50 100 3
3 20MMD13 Finite Element
Method
MECH 4 - - 50 50 100 3
4 20MMD14 Advanced Design
of Mechanisms MECH 4 - - 50 50 100 3
5 20MMD15X ELECTIVE – I MECH 4 - - 50 50 100 3
6 20MMD16X ELECTIVE – II MECH 4 - - 50 50 100 3
7 20MMDL17 Computer Aided
Engineering
Design Work Tool
Laboratory
MECH - - 3 50 50 100 2
8 20MMDS18 Technical
Seminar
MECH - 4 - 50 - 50 2
9 20MMDM19 Industry visit
MECH - - 6 50 - 50 2
Total 450 350 800 24
*Technical Seminar: Seminar on Advanced topics from refereed journals by each student.
ELECTIVE - I
Sl .No Subject Code Subject title
1 20MMD151 Experimental Methods
2 20MMD152 Mechatronics System Design
3 20MMD153 Design For Additive Manufacturing
4 20MMD154 Material Handling
Equipment Design
ELECTIVE - II
Sl. No Subject Code Subject title
1 20MMD161 Composite Materials & Technology
2 20MMD162 Techanical Acoustics
3 201MMD63 Design Optimization
4 20MMD164 Product Design for Quality
ADMISSION YEAR : 2020-21 ACADEMIC YEAR:
2020-21 SEMESTER : FIRST COURSE TITLE:ADVANCED MECHANICS OF SOLIDS
Sub Code: 20MMD12 No of Credits : L-T-P-SS 3:0:0:0=3
No. of Lecture hours/week :04
Exam Duration:3 hours CIE Marks: 50 Exam Marks :50
COURSE OBJECTIVES:
1. To study the basic concept of stress, stress distribution, elastic constants when the material is subjected to
loading within the elastic limits.
2. Study the stress distribution in plane, polar and cylindrical coordinate system. 3. Analyze the material or component subjected to torsion of circular and non-circular shafts (elliptical,
triangular bars)
4. Study the thermo-elastic properties of the material at elevated temperatures.
# CONTENTS Hrs
UNIT-1 Introduction to general theory of elasticity: assumptions and applications of linear
elasticity. Analysis of stress, stress tensors. State of stress at a point, principal stresses in
two dimensions, Cauchy's stress principle, direction cosines, stress components on an
arbitrary plane with stress transformation. Principal stresses in three dimensions, stress
invariants, Equilibrium equations, octahedral stresses, Mohr's stress circle, construction of
Mohr’s Circle for two and three dimensional stress systems, equilibrium equations in polar
coordinates for three-dimensional state of stresses.
11
UNIT-2 Introduction to analysis of strain, types of strain, strain tensors, strain transformation.
Principal strains, strain invariants, octahedral strains, Mohr's Circle for Strain, equations of
Compatibility for Strain, strain rosettes. Stress-strain relations, the Generalised Hooke's
law, compatibility conditions, the transformation from Strain components to stress
components. Strain energy in an elastic body, St.Venant's principle, uniqueness theorem.
11
UNIT-3 Theories of Failure and Energy Methods: Introduction, Theories of Failure, Use of
Factor of Safety in Design, Mohr’s theory of Failure, Ideally Plastic Solid, Stress space and
Strain space, General nature of Yield locus, Yield Surfaces of Tresca and Von Mises,
Stress- Strain relation (Plastic Flow), Prandtl Reuss theory, Saint venant – Von mises
equations.
Principle of Superposition, Reciprocal Relation, Maxwell-Betti-Rayleigh Reciprocal
theorem, First theorem of Castigliano, Expressions for Strain Energy, Statically
indeterminate structures, Theorem of Virtual Work, Second theorem of Castigliano, Maxwell – Mohr integrals.
10
UNIT-4 Bending of Beams: Introduction, Straight beams and Asymmetrical Bending, Euler –
Bernoulli hypothesis, Shear centre or Centre of Flexure, Shear stresses in thin walled open
sections, Bending of curved beams, Deflection of thick curved bars.
10
UNIT-5 Torsion: Introduction, Torsion of general prismatic bars – Solid sections, Torsion of
Circular and Elliptical bars, Torsion of equivalent triangular bar, Torsion of rectangular
bars, Membrane analogy, Torsion of thin walled tubes, Torsion of thin walled multiple cell
closed sections, Multiple connected sections, Centre of twist and flexure centre
10
TEXT BOOKS: 1. Advanced Mechanics of solids, L. S. Srinath, Tata Mc. Graw Hill, 2003.
2. Theory of Elasticity, S. P. Timoshenko and J. N Gordier, Mc.Graw Hill International, 3rd edition, 1972.
REFERENCES BOOKS:
1. Theory of Elasticity, Dr. Sadhu Singh, Khanna Publications, 1988
2. Elasticity, Theory, Applications & Numericals, Martin H Sadd, Elsevier. 2005.
1. Two full questions (each of 20 Marks) are to be set from each unit.
2. Student shall answer five full questions selecting one full question from each unit.
ADMISSION YEAR : 2020-21 ACADEMIC YEAR:
2020-21 SEMESTER : FIRST COURSE TITLE: FINITE ELEMENT METHOD
Sub Code: 20MMD13 No of Credits : L-T-P-SS 3:0:0:0=3
No. of Lecture hours/week :04
Exam Duration:3 hours CIE Marks: 50 Exam Marks :50
Pre-requisites Mom, Design of Machine Elements.
COURSE OBJECTIVES:
1. To present the Finite element method (FEM) as a numerical method for engineering analysis of
continuum and structures.
2. To present Finite element formulation using variation and weighted residual approaches.
3. To present Finite elements for the analysis of bars & trusses, beams & frames, plane stress & plane
strain problems and 3-D solids, for thermal and dynamics problems.
4. Learn to model complex geometry problems and technique of solutions.
# CONTENTS Hrs
UNIT-1 Introduction to Finite Element Method: basic steps in finite element method to solve
mechanical engineering problems (solid, fluid and heat transfer). Functional approach
and Galerkin approach. Displacement approach: admissible functions. Convergence
criteria: conforming and nonconforming elements, C0, C1 and Cn continuity elements.
Basic equations, element characteristic equations, assembly procedure, boundary and
constraint conditions.
11
UNIT-2 Solid Mechanics: One-dimensional finite element formulations and analysibars- uniform, varying and stepped cross section. Basic (Linear) and higher order elements formulations for axial, torsional and temperature loads with problems.
Beams- basic (linear) element formulation-for uniform, varying and stepped cross section- for different loading and boundary conditions, numericals.
Trusses, Plane frames and Space frame – basic (Linear) elements formulations for different boundary conditions -axial, bending, torsional, and temperature loads, numericals.
11
UNIT-3 Two dimensional finite element formulations for solid mechanics problems:
triangular membrane (tria 3, tria 6, tria 10) element, fournoded quadrilateral membrane
(quad 4, quad 8) element formulations for in-plane loading with simple
problems.Triangular and quadrilateral axi-symmetric basic and higher order elements
formulation for axi-symmetric loading with simple numericals.
Three dimensional finite element formulations for solid mechanics problems: finite element formulation of tetrahedral element (tet 4, tet 10), hexahedral element (hexa 8, hexa 20), for different loading conditions. Serendipity and Lagrange family elements.
10
UNIT-4 Finite element formulations for structural mechanics problems: Basics of plates and shell theories: classical thin plate theory, shear deformation theory and thick plate
theory. Finite element formulations for triangular and quadrilateral plate elements. Finite element formulation of flat, curved, cylindrical and conical shell elements.
10
UNIT-5 Dynamic analysis: finite element formulation for point/lumped mass and distributed masses system, finite element formulation of one dimensional dynamic analysis: bar, truss, frame and beam element. Finite element formulation of two dimensional dynamic analysis: triangular membrane and axi-symmetric element, quadrilateral membrane and axi-symmetric element. Evaluation of eigen values and eigen vectors applicable to bars, shaft, beams, plane and space frame.
10
TEXT BOOKS:
1. T. R. Chandrupatla and A. D. Belegundu, Introduction to Finite Elements in Engineering, Prentice Hall, 3rd Ed, 2002.
2. Lakshminarayana H. V., Finite Elements Analysis– Procedures in Engineering, Universities Press, 2004.
REFERENCE BOOKS:
1. Rao S. S, Finite Elements Method in Engineering- 4th Edition, Elsevier, 2006
2. P.Seshu, Textbook of Finite Element Analysis, PHI, 2004. 3. J.N.Reddy, Introduction to Finite Element Method, mcgraw -Hill, 2006.
4. Bathe K. J, Finite Element Procedures, Prentice-Hall, 2006.
5. Cook R. D., Finite Element Modeling for Stress Analysis, Wiley, 1995.
COURSE OUTCOMES: After the completion of this course, student will be able to:
CO1 Understand the concepts of Variation methods and Weighted residual methods.
CO2 Identify the application and characteristics of FEA elements such as bars, beams, plane and isoparimetric elements, and 3D element.
CO3 Develop element characteristic equations and generate global stiffness equations.
CO4 Apply suitable boundary conditions to a global structural equation, and reduce it to a
solvable form.
CO5 Identify how the finite element method expands beyond the structural domain, for problems involving dynamics and heat transfer.
Methods of 32 Dimensional Synthesis: Freudenstein's equation for four bar
mechanism and slider crank mechanism, Examples, Bloch's method of synthesis, Analytical synthesis using complex algebra.
10
UNIT-5 Spatial Mechanisms: Introduction, Position analysis problem, Velocity and acceleration analysis, Eulerian angles.
10
TEXT BOOKS: 1. K.J.Waldron&G.L.Kinzel , “Kinematics, Dynamics and Design of Machinery”, Wiley India, 2007.
2. Greenwood, “Classical Dynamics”, Prentice Hall of India, 1988.
REFERENCES BOOKS: 1. J E Shigley, “Theory of Machines and Mechanism” -McGraw-Hill, 1995
2. A.G.Ambekar , “Mechanism and Machine Theory”, PHI, 2007.
3. Ghosh and Mallick , “Theory of Mechanism and Mechanism”, East West press 2007.
4. David H. Myszka , “Machines and Mechanisms”, Pearson Education, 2005.
COURSE OUTCOMES: After the completion of this course, student will be able to:
CO1 The knowledge of dynamics considerations in mechanism design is essential to use commercial multi body dynamics software in mechanical engineering design.
CO2 Carry out mobility analysis of mechanism and perform velocity and acceleration of complex planer mechanism.
CO3 Synthesize mechanisms for function generation and path generation.
CO4 Analyze the Dynamics of Mechanical systems using D’Alemberts. ,Lagrange’s, and Hamiltons Principles.
CO5 Demonstrate the skills to use software to analyze mechanisms, synthesis of linkages.
1. Two full questions (each of 20 Marks) are to be set from each unit.
2. Student shall answer five full questions selecting one full question from each unit.
ADMISSION YEAR: 2020-21 ACADEMIC YEAR:
2020-21 SEMESTER: FIRST COURSE TITLE:EXPERIMENTAL METHODS
Sub Code: 20MMD151 No of Credits : L-T-P-SS 3:0:0:0=3
No. of Lecture hours/week :04
Exam Duration:3 hours CIE Marks: 50 Exam Marks :50
Pre-requisites Mom, Design of Machine Elements.
COURSE OBJECTIVES:
1. To introduce the concepts of dynamic measurements and analysis of experimental data. 2. To expose them to the techniques of Data Acquisition, Signal conditioning and processing.
3. To introduce students to different aspects of measuring deformation, strains, and stresses for developing a mechanistic understanding of both the material and the structure behavior.
# CONTENTS Hrs
UNIT-1 Introduction: Definition of terms, calibration, standards, dimensions and units,
generalized measurement system, Basic concepts in dynamic measurements, system
response, distortion, impedance matching, experiment planning. Analysis of
Experimental Data: Cause and types of experimental errors, error analysis. Statistical
analysis of experimental data- Probability distribution, gaussian, normal distribution.
Chi-square test, Method of least square, correlation coefficient, multivariable
regression, standard deviation of mean, graphical analysis and curve fitting, general consideration in data analysis.
11
UNIT-2 Data Acquisition and Processing: General data acquisition system, signal
conditioning revisited, data transmission, Analog-to-Digital and Digital-to- Analog
conversion, Basic components (storage and display) of data acquisition system.
Computer program as a substitute for wired logic. Force, Torque and Strain
Measurement: Mass balance measurement, Elastic Element for force measurement,
torque measurement. Strain Gages -Strain sensitivity of gage metals, Gage
construction, Gage sensitivity and gage factor, Performance characteristics,
1. Two full questions (each of 20 Marks) are to be set from each unit.
2. Student shall answer five full questions selecting one full question from each unit.
ADMISSION YEAR : 2020-21 ACADEMIC YEAR:
2020-21 SEMESTER : FIRST COURSE TITLE: MATERIAL HANDLING EQUIPMENT DESIGN
Sub Code: 20MMD154 No of Credits : L-T-P-SS 3:0:0:0=3
No. of Lecture hours/week :04
Exam Duration:3 hours CIE Marks: 50 Exam Marks :50
COURSE OBJECTIVES:
1. To develop competency for system visualization and design.
2. To enable student select materials and to design internal engine components.
3. To acquaint student to optimum design and use optimization methods to design mechanical
components.
4. To enable and evaluate design material handling systems
# CONTENTS Hrs
UNIT-1 Elements of Material Handling System: Importance, Terminology, Objectives and benefits of better Material Handling; Principles and features of Material Handling System; Classification of Material Handling Equipment’s, Interrelationships between material handling and plant layout, physical facilities and other organizational functions.
11
UNIT-2 Selection of Material Handling Equipment’s: Factors affecting for selection; Material Handling Equation; Choices of Material Handling Equipment; General analysis Procedures; Basic Analytical techniques; The unit load concept; Selection of suitable types of systems for applications ; Activity cost data and economic analysis for design of components of Material Handling Systems; functions and parameters affecting service; packing and storage of materials.
11
UNIT-3 Design of Mechanical Handling Equipment’s: Design of Hoists: Drives for hoisting, components, and hoisting mechanisms; rail traveling components and mechanisms; hoisting gear operation during transient motion; selecting the motor rating and determining breaking torque for hoisting mechanisms.
Design of Cranes: Hand-propelled and electrically driven E.O.T. overheat Traveling cranes; Traveling mechanisms of cantilever and monorail cranes; design
considerations for structures of rotary cranes with fixed radius ; fixed post and overhead traveling cranes; Stability of stationary rotary and traveling rotary cranes.
10
UNIT-4 Study of systems and Equipment’s used for Material Storage: Objectives of
storage; Bulk material handling; Gravity flow of solids through slides and chutes;
Storage in bins and hoppers; Belt conveyors; Bucket-elevators; Screw conveyors; Vibratory Conveyors; Cabin conveyors; Mobile racks etc.
10
UNIT-5 Material Handling / Warehouse Automation and Safety considerations:
Storage and warehouse planning and design: computerized warehouse planning;
Need, Factors and Indicators for consideration in warehouse automation; which
function, When and How to automate; Levels and Means of Mechanizations. Safety and design; Safety regulations and discipline.
10
TEXT BOOKS:
1. Materials Handling Equipment – N. Rudenko , Envee Publishers, New Delhi
3. Plant Layout and Material Handling- Chowdary R B
COURSE OUTCOMES: After the completion of this course, student will be able to:
CO1 Explain about the different types of material handling, advantages and disadvantages. It also suggests the selection procedure for the material handling along with its specifications.
CO2 Need for Material handling also explained with different techniques like
Automated Material handling Design Program, Computerized material handling Planning
will be dealt.
CO3 Demonstrate ability to successfully complete Fork Lift Certification to safely and effectively operate in the manufacturing environment.
CO4 The Material handling is explained with models, selection procedure of material handling is depending on different function oriented systems. This also related with plant layout by which the minimization of the handling charges will come down.
CO5 The ergonomics related to material handling equipment about design and miscellaneous equipment’s.
1. Two full questions (each of 20 Marks) are to be set from each unit.
2. Student shall answer five full questions selecting one full question from each unit.
ADMISSION YEAR : 2020-21 ACADEMIC YEAR:
2020-21 SEMESTER : FIRST COURSE TITLE: PRODUCT DESIGN FOR QUALITY
Sub Code: 20MMD164 No of Credits : L-T-P-SS 3:0:0:0=3
No. of Lecture hours/week :04
Exam Duration:3 hours CIE Marks: 50 Exam Marks :50
COURSE OBJECTIVES:
1. Apply the principles of product design to modify existing engineering systems or to develop new
artifacts.
2. Design a system taking into consideration the concepts of ease of production, maintenance, handling, installation etc.
3. Translate the concepts of economics in design, optimization of design and human factors approach
to product design.
# CONTENTS Hrs
UNIT-1 Design for quality: Taguchi’s Approach to Quality, On-line and Off-line Quality
Control, Quality Loss Function, System Design, Parameter Design, Design for
Environment, Human factor design, Design for casting and forging , Causes of
Variation.
11
UNIT-2 Quality Function Deployment –Introduction, QFD team, benefits, voice of customer,
organisation of information, house of quality, QFD process Design of Experiments: Basic methods- Two factorial experiments-Extended method reduced tests and fractional experiments, orthogonality, base design method, higher dimensional fractional factorial design
11
UNIT-3 Failure Mode Effect Analysis: Refining geometry and layout, Failure tree analysis, Defects and failure modes Techniques of failure analysis, Filed inspection of failure, Macroscopic and Microscopic examination, Additional tests, Analysis of data and report of failure.
10
UNIT-4 Statistical Consideration in Product Design and Development Frequency distributions and Histograms- Run charts –stem and leaf plots- Pareto diagrams-Cause and Effect
diagrams-Box plots- Probability distribution- Statistical Process control–Scatter diagrams –Multivariable charts
10
UNIT-5 Six Sigma – Overview, Basics and history of the approach for six sigma, Methodology and focus, the application of Six Sigma in production and in-service industries, Relationship of Six Sigma and Lean Management, linking Six Sigma project goals with organizational strategy
10
REFERENCE BOOKS:
1. Total quality Management Kevin Otto & Kristin Wood, Product Design Techniques in
Reverse
2. Engineering and New Product Development, Pearson Education (LPE), 2001. ISBN10:
0130212717 3. Product Design and Development, Karl T. Ulrich, Steven D. Eppinger, TATA McGraw -
HILL - 3rd Edition, 2003. ISBN:13: 978-0073404776
4. The Management and control of Quality, James R. Evens, William M Lindsay,6th
5. Engineering Design, George E Dieter, 3rd Edition, McGraw hill International Edition,
ISBN: 0-07- 116204-6
COURSE OUTCOMES: After the completion of this course, student will be able to:
CO1 Apply a system based approach for quality management
CO2 Identify the importance of various principles of quality in product or service
CO3 Use statistical tools in product development
CO4 Apply basic risk analysis and experiment design techniques into practical cases
CO5 Demonstrate knowledge about Six sigma, Design of Experiments
MAPPING OF COs WITH POs COs/POs PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
CO1 1 1 1 1 1
CO2 1 1 1 1
CO3 1 1 1 1
CO4 1 1 1 1
CO5 1 1 1 1
QUESTION PAPER PATTERN (SEE)
Q. No. Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10
UNIT 1 2 3 4 5
1. Two full questions (each of 20 Marks) are to be set from each unit.
2. Student shall answer five full questions selecting one full question from each unit.
ADMISSION YEAR : 2020-2021 ACADEMIC YEAR:
2020-21 SEMESTER : FIRST COURSE TITLE : COMPUTER AIDED ENGINEERING DEIGN WORK TOOL -LAB
Sub Code: 20MMDL17 No of Credits : L-T-P-SS 0:0:3:0 =2
No. of lecture hours/week :03
Exam Duration : 3 hours CIE Marks: 50 SEE Marks : 50
COURSE OBJECTIVES:
1. The objective of this lab is to acquaintance students with knowledge in the interface of 3-D software
and to make students efficient to produce CAED designs.
2. By the end of course one should also be able to understand what a machine drawing is and will also be
able to produce machine drawings.
3. To gain knowledge about all symbols used in production drawings and how they are inserted in
production drawings using design software’s.
PART –A
COMPUTER AIDED ENGINEERING DESIGN- CAED BASICS
Hours
1 Introduction about CAED and different workbenches in it. 4
2 Interface, Sketch Tools, View Tool bar, Profile Tool bar, Operation Tool bar, Tools , Constrain tool bar, Transformation Tool bar, User Selection Filter,.
4
3 Sketch Based Features, Dress up Features, Transformation
2020-21 SEMESTER : FIRST COURSE TITLE: INDUSTRY VISIT
Sub Code: 20MMDM19 No of Credits : L-T-P-SS
0:0:0:2=02
No. of Lecture hours/week : ---
-----
Exam Duration:--------- CIE Marks: 50 SEE Marks :---------
COURSE OBJECTIVES:
1. An opportunity to get exposure to the real workstations, plants, machines and systems. 2. to understand the end-to-end process at all levels
3. to understand the company policies in terms of production, quality, and service management.
4. Expert briefing about the functioning of machines and systems.
GUIDELINES
1. Iindustrial visit shall be arranged according to the academic requirements and as per the norms of the
college.
2. HOD must certify that the tour is required for the students or is related to their curriculum. 3. The visiting companies shall be relevant and suitable ones to the specialization and academic
requirements.
4. Industrial visit shall fall within the stipulated period set by the college. 5. The stipulated period shall be informed to the Faculty in-charge and Students through HOD well in
advance to enable go through a diligent process including communicating to the potential companies
and obtaining permission to visit.
6. The entire plan including permission letter from the visiting companies, permission letter, route map,
list of students with their contact no. (Preferably mobile phone), list of faculty with their contact details,
undertaking letter from student and parent and permit shall be available in the file and be checked by
HOD.
7. The bus shall carry a banner exhibiting the college name and Industrial Visit.
8. Students must carry security ID cards with details of their parents or local guardians and their contact
numbers.
9. Participating students must be given an undertaking that they will abide by the rules and guidelines throughout the tour.
SCHEME FOR CONTINUOUS INTERNAL EVALUATION (CIE)
CIE marks for the Industrial visit report (30 marks), seminar (10 marks) and viva voce (10 marks) shall be
awarded (based on the quality of report and presentation skill, participation in the question and answer
session by the student) by the committee constituted for the purpose by the Head of the Department, The
committee shall consist of three faculty from the department.
COURSE OUTCOMES: After the completion of this course, student will be able to:
CO1 Students’ exposure to industrial environments and experiences is undeniably one way for students to appreciate their theoretical learning to a more practical learning.
CO2 Acquaint Students with Interesting Facts and Newer Technologies.
CO3 Using the case study approach within the visit brings out critical thinking among students.
CO4 Practical application of instruments handled during course curriculum.
Subject Title: PATTERN RECOGNITION and MACHINE LEARNING
Subject Code: 20LVS151 No. of Credits:3=4:0:0(LTP) No. of lecture hours/week : 04
Exam Duration :03 Hours CIE +(Assignment + Seminar)+ SEE =
30+(10+ 10)+50=100 Total No. of Contact Hours :52
Course Learning Objectives: This course will enable the students to-
1 Learn main and modern concepts for model selection and parameter estimation in recognition.
2 Solve decision making and statistical learning problems.
3 Special emphasis will be given to regression, classification, regularization, feature selection and density estimation in supervised mode of learning.
UNIT
No
Syllabus Contents No of
Hours
Blooms
Taxonomy
Level 1 Introduction: Probability Theory, Model Selection, The Curse of
Dimensionality, Decision Theory, Information Theory Distributions:
Binary and Multinomial Variables, The Gaussian Distribution, The
Paths, Removal Timing Check, Recovery Timing Check, Timing across
Clock Domains, Examples: Slow to Fast Clock Domains, Fast to Slow
Clock Domains, Half-cycle Path - Case 1, Half-cycle Path - Case 2, Fast
to Slow Clock Domain, Slow to Fast Clock Domain, Multiple Clocks.
12
L1,L2,
L3, L4
Note: Each Unit will have internal choice.
COURSE OUTCOMES
CO1 Evaluate the delay of any given digital circuits.
CO2 Prepare the resources to perform the static timing analysis using EDA
tool CO3 Prepare timing constraints for the design based on the specification.
CO4 Generate the timing analysis report using EDA tool for different checks.
CO5 Perform verification and analyze the generated report to identify critical issues and bottleneck for the violation and suggest the techniques to make the design to meet
timing.
Course outcome and program outcome mapping
CO1 PO2, PO3, PO4, PO5, PO12
CO2 PO2, PO3, PO4, PO5, PO6, PO12
CO3 PO1, PO2, PO3, PO4, PO5, PO6, PO12
CO4 PO1, PO2, PO3, PO4, PO5, PO6, PO12
CO5 PO1, PO2, PO3, PO4, PO5, PO6, PO8, PO12
TEXT BOOK: 1. J. Bhasker, R Chadha,., “Static Timing Analysis for Nanometer Designs: A Practical
Approach”, Springer, 2009.
REFERENCE BOOKS/WEBLINKS:
1. Sridhar Gangadharan, Sanjay Churiwala, “Constraining Designs for Synthesis and
Timing Analysis – A Practical Guide to Synopsis Design Constraints (SDC)”, Springer,
2013.
2. Naresh Maheshwari and Sachin Sapatnekar, "Timing Analysis and Optimization of sequential Circuits", Springer Science and Business Media, 1999.
BOS Chairman Dean(Academics) Principal
Subject Title: DIGITAL IC DESIGN
Subject Code: 20LVS153 No. of Credits:3=4:0:0(LTP) No. of lecture hours/week : 04
Exam Duration :03 Hours CIE +(Assignment + Seminar)+ SEE =
30+(10+ 10)+50=100 Total No. of Contact Hours :52
Course Learning Objectives: This course will enable the students to-
1. Learn circuit-oriented approach towards digital design
2. Illustrate the impact of interconnect wiring on the functionality and performance of a
digital gate.
3. Infer different approaches to digital timing and clocking circuits
4. Understand the impact of clock skew on the behaviour of digital synchronous circuits
5. Explain the role of peripheral circuitry such as the decoders, sense amplifiers, drivers
and control circuitry in the design of reliable and fast memories
UNIT
No
Syllabus Contents No of
Hours
Blooms
Taxonomy
Level
1 Implementation Strategies For Digital ICS: Introduction, From
Custom to Semicustom and Structured Array Design Approaches,
Custom Circuit Design, Cell-Based Design Methodology, Standard Cell,
Compiled Cells, Macrocells, Megacells and Intellectual Property, Semi-
Sub Code: 20LDN153 No. of Credits:3=2:2:0(L:T:P) No. of lecture hours per week: 4
Exam Duration: 3
Hours
CIE + SEE = 50+50 =100 Total No. of Contact Hours : 52
Note 1: All Units will have internal choice.
Note 2: CIE consists of 3 components
(i) CIE 1, 2 and CIE-makeup(written tests) are conducted for 30 marks
(ii) Three assignments are evaluated for 10 marks
(iii) Group activity for 5 marks
(iv) Subject Seminar for 5 marks
Course Outcomes :
1. Able to understand the fundamental concepts of embedded system.
2. Able to design suitable embedded systems for real world applications.
3. Indulging ARM Cortex-M3 concepts in real time scenarios.
4. Able to understand Embedded firmware design approaches.
5. Able to understand Integrated development environment.
COs Mapping with POs
CO1 PO4, PO5, PO6
CO2 PO2, PO5, PO6, PO7
CO3 PO, PO6, PO7, PO8
CO4 PO4, PO5, PO6
CO5 PO6, PO7, PO8, PO4
Text Books / References:
1. Shibu K V, “Introduction to Embedded Systems”, Tata McGraw Hill Education Private
Limited, 2009
2. “Cortex M3 Technical Reference Manual,” by ARM.
3. James K Peckol, “Embedded Systems – A contemporary Design Tool”, John Weily, 2008.
Course Objectives :
1. To become familiar with basic probability theory.
2. To learn random variables and random processes.
3. To analyze the characteristics of random variables and random process.
4. To apply random variables and random process to communication systems and networks.
5. To learn properties of probability, random variables, and random process.
UNIT
No.
Syllabus Content
No. of
Hours
Teaching
1 Introduction to Probability Theory: Experiments, Sample space, Events,
Axioms, Assigning probabilities, Joint and conditional, Baye's theorem, Independence, Discrete random variables, Random variables, Distributions, Density functions: CDF, PDF, Gaussian random variable, Uniform, Exponential, Laplace, Gamma, Erlang, Chi-square, Rayleigh, Rician and Cauchy types of random variables.
10
2 Operation on a Single Random Variable: Expected value, EV of random
variables, EV of functions of random variables, Central moments, Conditional Expected values.
10
3 Characteristics Functions: Probability generating functions,
Moment generating function, Engineering applications, Scalar
quantization, Entropy and source coding. 10
4 Pairs of Random Variables: Joint PDF, Joint probability mass
functions, Conditional distribution, Density and mass functions, EV
involving pairs of random variables, Independent random variables,
Complex random variables. Multiple random variables: Joint and
conditional PMF, CDF, PDF, EV involving multiple random variables,
Gaussian random variable in multiple dimension, Linear prediction.
12
5 Random Process: Definition and characterization, Mathematical tools
for studying random processes, Stationery and Ergodic random processes,
Properties of ACF. Example Processes: Markov processes, Gaussian
ad-hoc networks: Mobile ad-hoc networks, Sensor network, Mesh
networks, VANETs, Research issues in Wireless networks. (Blended
Learning)
12
Note 1: All Units will have internal choice.
Note 2: CIE consists of 3 components
(i) CIE 1, 2 and CIE-makeup(written tests) are conducted for 30 marks
(ii) Three assignments are evaluated for 10 marks
(iii) Group activity for 5 marks
(iv) Subject Seminar for 5 marks
Course Outcomes :
CO1: Have complete knowledge fundamentals of wireless communication and Networks and
their applications.
CO2: Identify the different wireless networks like WBAN, WMAN, WLAN, WMAN,
Sub Title: WIRELESS AND MOBILE NETWORKS
Sub Code: 20LDN161 No. of Credits:3=2:2:0(L:T:P) No. of lecture hours per week: 4
Exam Duration : 3
hours
CIE + SEE = 50+50 =100
Total No. of Contact Hours : 52
WMAN and understand their architecture and their components.
CO3: Understand and interpret the protocols and standards in different Wireless
communication and networks.
CO4: Analyze the various design issues in WMAN, WLAN, WMAN, WMAN.
CO5: Determine the applications of Wireless communication networks, Adhoc networks and
Sensor Networks.
COs Mapping with POs
CO1 PO2, PO5
CO2 PO2, PO4,PO5
CO3 PO5
CO4 PO2,PO8
CO5 PO5
TEXT BOOK:
1. S S Manvi, and M. S. Kakkasageri, "Wireless and Mobile network concepts and Protocols",
Wiley India Pvt Ltd, 2010.
REFERENCE BOOKS: 1. P Kaveh, Krishnamurthy, "Principles of Wireless network: A unified approach", PHI, 2006.
2. Iti Saha Mitra, "Wireless communication and network: 3G and Beyond", McGraw Hill,
2009.
3. Ivan Stojmenovic, "Handbook of Wireless networks and Mobile Computing", Wiley, 2009.
4. P Nicopolitidis, M. S. Obaidat, et al, "Wireless Networks", Wiley, 2009.
5. Yi-Bing Lin, Imrich Chlamtac, "Wireless and Mobile Network Architectures", Wiley, 2009.
6. Mullet, "Introduction to Wireless Telecommunication Systems and Networks", Cengage,
2009.
Course Objectives : This course will enable students to:
1. Understand the process of simulation and modeling 2. Learn simulation of deterministic and probabilistic models, with a focus of statistical data analysis and simulation data.
Sub Title : MODELING AND ANALYSIS
Sub Code: 20LDN162 No. of Credits:3=2:2:0(L:T:P) No. of lecture hours per week: 4
Exam Duration : 3
hours
CIE + SEE = 50+50 =100 Total No. of Contact Hours: 52
UNIT
No.
Syllabus Content
No. of
Teaching
Hours
1 Random Number Generators: Linear congruential Generators, Other kinds, Testing number generators, Generating the Random Variates: General approaches, Generating continuous random variates, Generating discrete random variates, Generating random vectors, and correlated random variants, Generating arrival processes (7.2, 7.3, 7.4, 8.2, 8.3, 8.4, 8.5, 8.6 of Text). (1.1, 1.2, 1.3, 1.4, 1.4.1, 1.4.2, 1.4.3, 1.5, 1.5.1, 1.5.2, 1.6, 1.7, 1.8, 1.9 of Text)
10
2 Review of Basic Probability and Statistics Random Variables and their properties, Simulation Output Data and Stochastic Processes, Estimation of Means, Variances and Correlations, Confidence Intervals and Hypothesis tests for the Mean Building valid, credible and appropriately detailed simulation models: Introduction and definitions, Guidelines for determining the level of models detail, Management’s Role in the Simulation Process, Techniques for increasing model validity and credibility, Statistical procedure for comparing the real world observations and simulation output data. (4.2, 4.3, 4.4, 4.5, 5.1, 5.2, 5.4, 5.5,5.6, 5.6.1, 5.6.2 of Text)
12
3 Selecting Input Probability Distributions: Useful probability distributions, activity I, II and III. Shifted and truncated distributions; Specifying multivariate distribution, correlations, and stochastic processes; Selecting the distribution in the absence of data, Models of arrival process. (6.2, 6.4, 6.5, 6.6, 6.8, 6.10, 6.11, 6.12 of Text).
12
4 Random Number Generators: Linear congruential Generators, Other kinds,Testing, number generators, Generating the Random Variates: General approaches, Generating continuous random variates, Generating discrete random variates, Generating random vectors, and correlated random variants, Generating arrival processes (7.2, 7.3, 7.4, 8.2, 8.3, 8.4, 8.5, 8.6 of Text).
10
5 Output data analysis for a single system: 08
Note 1: All Units will have internal choice.
Note 2: CIE consists of 3 components
(i) CIE 1, 2 and CIE-makeup(written tests) are conducted for 30 marks
(ii) Three assignments are evaluated for 10 marks
(iii) Group activity for 5 marks
(iv) Subject Seminar for 5 marks
Course Outcomes : After studying the course students will be able to:
1. Define the need of simulation and modeling. 2. Describe various simulation models. 3. Discuss the process of selecting of probability distributions. 4. Perform output data analysis.
COs Mapping with POs
CO1 PO1,PO2,PO4
CO2 PO1,PO2,PO4,PO5
CO3 PO1,PO2,PO4,PO5
CO4 PO1,PO2,PO4,PO5,PO8
CO5 PO1,PO2,PO5,PO8
TEXT BOOK:
1. Averill Law, "Simulation modeling and analysis", McGraw Hill 4th edition, 2007.
REFERENCE BOOKS:
1. Tayfur Altiok and Benjamin Melamed, “Simulation modeling and analysis with ARENA”,
Elsevier, Academic press, 2007.
2. Jerry Banks, "Discrete event system Simulation", Pearson, 2009
3. Seila Ceric and Tadikamalla, "Applied simulation modeling", Cengage, 2009.
4. George. S. Fishman, "Discrete event simulation", Springer, 2001.
5. Frank L. Severance, "System modeling and simulation", Wiley, 2009.
Transient and steady state behavior of a stochastic process; Types of simulations with regard to analysis; Statistical analysis for terminating simulation; Statistical analysis for steady state parameters; Statistical analysis for steady state cycle parameters; Multiple measures of performance, Time plots of important variables. (Blended Learning) (9.2, 9.3, 9.4, 9.4.1, 9.4.3, 9.5, 9.5.1, 9.5.2, 9.5.3, 9.6, 9.7, 9.8 of Text)
Course Objectives :
This course will enable students to: 1. Acquire fundamental knowledge in understanding the representation of digital image and its properties. 2. Equip with various image transform and enhancement techniques. 3. Learn the technique of eliminating the effects of degradation in the image. 4. Select the region of interest using segmentation techniques. 5. Exposure to various multispectral analysis techniques
UNIT No. Syllabus Content
No. of
Hours
Teaching
1
Digital image fundamentals: Introduction: Digital Image- fundamental steps of Digital Image Processing Systems, Sampling and quantization, Elements of Visual Perception, Connectivity and Relations between Pixels, Arithmetic, Logical, Spatial Operations.
10
2
Image transforms and enhancement: Image Transforms: 2D Orthogonal and Unitary Transforms-
Properties and examples. 2D DFT- FFT – DCT - Hadamard Transform - Haar Transform - Slant Transform - KL Transform -Properties and Examples. Image Enhancement: Histogram Equalization Technique, Fundamentals of spatial filtering, Smoothing Spatial filters.
10
3
Image restoration and reconstruction: Image Restoration: Restoration in the presence of noise, Linear-position-invariant degradation. Reconstruction: Projections and the Radon Transform, Reconstruction using Parallel-Beam filtered back projections.
10
4
Segmentation: Edge Detection - Line Detection - Curve Detection - Edge Linking And Boundary Extraction, Boundary Representation, Region Representation And Segmentation, Morphology-Dilation, Erosion, Opening And Closing. Hit And Miss Algorithms Feature Analysis.
12
5
Color and multispectral image processing: Color Image-Processing Fundamentals: RGB Models, HSI Models, Relationship Between Different Models. Multispectral Image Analysis: Three Dimensional Image Processing, Computerized Axial Tomography, Stereoscopic Image Display, Shaded Surface Display. (Blended Learning)
10
Sub Title : ADVANCES IN IMAGE PROCESSING
Sub Code: 20LDN163 No. of Credits:3=2:2:0(L:T:P) No. of lecture hours per week: 4
Exam Duration: 3 hours CIE + SEE = 50+50 =100 Total No. of Contact Hours : 52
Note 1: All Units will have internal choice.
Note 2: CIE consists of 3 components
(i) CIE 1, 2 and CIE-makeup(written tests) are conducted for 30 marks
(ii) Three assignments are evaluated for 10 marks
(iii) Group activity for 5 marks
(iv) Subject Seminar for 5 marks
Course Outcomes : 1. Understanding of the representation of digital images and its properties.
2. Knowledge of applicability of transforms in image processing and enhancement techniques. 3. Use of restoration techniques to improve the quality of image which has undergone various degradations. 4. Use of segmentation techniques to select the region of interest in the image for analysis. 5. Knowledge of various color models, three dimensional image processing.
COs Mapping with POs
CO1 PO1, PO2,PO4,PO5,PO6
CO2 PO1, PO2,PO4,PO5,PO6
CO3 PO1, PO2,PO4,PO5,PO6,PO8
CO4 PO1, PO2,PO4,PO5,PO6,PO8
CO5 PO1, PO2,PO4,PO5,PO6,PO8
TEXT BOOKS: 1. Digital Image Processing, Gonzalez.R.C & Woods. R.E., 3/e, Pearson Education, 2008.
2. Fundamentals of Digital image Processing, Anil K Jain, Prentice Hall of India, 2004.
REFERENCE BOOKS: 1. Digital Image Processing, Kenneth R Castleman, Pearson Education, 1996.
2. Digital Image Processing, S. Jayaraman, S. Esakkirajan, T. Veerakumar, McGraw Hill
Education, 2009.
Course Objectives :
This course will enable students to: 1. Discuss layered architecture for communication networks and the specific functionality of the network layer. 2. Explain the basic principles of routing and the manner, this is implemented in conventional networks and the evolving routing algorithms based on Internetworking requirements, optical backbone and the wireless access part of the network. 3. Compare and contrast different routing algorithms existing and their performance characteristics
UNIT No. Syllabus Content
No. of
Hours
Teaching
1
NETWORK ROUTING: BASICS AND FOUNDATIONS: Networking and Network Routing: An Introduction: Addressing and Internet Service: An Overview, Network Routing: An Overview, IP Addressing, On Architectures, Service Architecture, Protocol Stack Architecture, Router Architecture, Network Topology Architecture, Network Management Architecture, Public Switched Telephone Network, Communication Technologies, Standards Committees, Last Two Bits. Routing Algorithms: Shortest Path and Widest Path: Bellman–Ford Algorithm and the Distance Vector Approach, Dijkstra’s Algorithm, Comparison of the Bellman–Ford Algorithm and Dijkstra’s Algorithm, Shortest Path Computation with Candidate Path Caching, Widest Path Computation with Candidate Path Caching, Widest Path Algorithm, k-Shortest Paths Algorithm Routing Protocols: Framework and Principles: Routing Protocol, Routing Algorithm, and Routing Table, Routing Information Representation and Protocol Messages, Distance Vector Routing Protocol, Link State Routing Protocol, Path Vector Routing Protocol, Link Cost
10
2
ROUTING IN IP NETWORKS: IP Routing and Distance Vector Protocol Family : Routers, Networks, and Routing Information: Some Basics, Static Routes, Routing Information Protocol, Version 1 (RIPv1), Routing Information Protocol, Version 2 (RIPv2), Interior Gateway Routing Protocol (IGRP), Enhanced Interior Gateway Routing Protocol (EIGRP), Route Redistribution OSPF and Integrated IS-IS :From a Protocol Family to anInstanceof a Protocol, OSPF: Protocol Features, OSPF Packet Format, Examples of Router LSAs and Network LSAs, Integrated
12
Sub Title : NETWORK ROUTING ALGORITHMS
Sub Code: 20LDN164 No. of Credits:3=2:2:0(L:T:P) No. of lecture hours per week: 4
Exam Duration: 3 hours CIE + SEE = 50+50 =100 Total No. of Contact Hours : 52
IS-IS, Similarities and Differences Between IS-IS and OSPF Internet Routing Architectures: Internet Routing Evolution, Addressing and Routing: Illustrations, Current Architectural View of the Internet, Allocation of IP Prefixes and AS Number, Policy-Based Routing, Point of Presence, Traffic Engineering Implications, Internet Routing Instability
3
Router Architectures: Functions of a Router, Types of Routers, Elements of a Router, Packet Flow, Packet Processing: Fast Path versus Slow Path, Router Architectures. IP Address Lookup Algorithms: Impact of Addressing on Lookup, Longest Prefix Matching, Naïve Algorithms, Binary Tries, Multibit Tries, Compressing Multibit Tries, Search by Length Algorithms, Search by Value Approaches, Hardware Algorithms, Comparing Different Approaches. IP Packet Filtering and Classification: Importance of Packet Classification, Packet Classification Problem, Packet Classification Algorithms, Naïve Solutions, Two-Dimensional Solutions, Approaches ford Dimensions, Extending Two-Dimensional Solutions, Divide and Conquer Approaches, Tuple Space Approaches, Decision Tree Approaches, Hardware-Based Solutions
12
4
ADVANCED ROUTING PROTOCOLS FOR WIRELESS NETWORKS: Wireless networking basic aspects, Basic routing concepts, AD hoc routing, Mesh routing, Vehicular routing, Sensor routing
08
5
TOWARD NEXT GENERATION ROUTING: Quality of Service Routing: QoS Attributes, Adapting Shortest Path and Widest Path Routing: A Basic Framework, Update Frequency, Information Inaccuracy, and Impact on Routing, Lessons from Dynamic Call Routing in the Telephone Network, Heterogeneous Service, Single-Link Case, A General Framework for Source-Based QoS Routing with Path Caching, Routing Protocols for QoS Routing MPLS and GMPLS: Traffic Engineering Extension to Routing Protocols, Multiprotocol Label Switching, Generalized MPLS, MPLS Virtual Private Networks. Routing and Traffic Engineering with MPLS: Traffic Engineering of IP/MPLS Networks, VPN Traffic Engineering, Routing/Traffic Engineering for Voice Over MPLS. VoIP Routing: Interoperability through IP and PSTN : PSTN Call Routing Using the Internet, PSTN Call Routing: Managed IP Approach, IP-PSTN Interworking for VoIP, IP Multimedia Subsystem, Multiple Heterogeneous Providers Environment and All-IP Environment of VoIP Services. (Blended Learning)
12
Note 1: All Units will have internal choice.
Note 2: CIE consists of 3 components
(i) CIE 1, 2 and CIE-makeup(written tests) are conducted for 30 marks
(ii) Three assignments are evaluated for 10 marks
(iii) Group activity for 5 marks
(iv) Subject Seminar for 5 marks
Course Outcomes : At the end of the course the students will be able to:
1. Given the network and user requirements and the type of channel over which the network has to operate, the student would be in a position to apply his knowledge for identifying a suitable routing algorithm, implementing it and analyzing its performance. 2. The student would also be able to design a new algorithm or modify an existing algorithm to satisfy the evolving demands in the network and by the user applications.
Note 2: Three Assignments are evaluated for 10 marks:
Assignment – I from Units 1 and 2.
Assignment – II from Units 3 and 4
Assignment -III from Unit 5
Note 3:Subject Seminar is evaluated for 10 marks
Course Outcomes:
After completing the course the students are able to:
CO1: Analysis of network services, protocols and architectures, explain why they are layered.
CO2: Design & implement Internet applications and their protocols using the sockets API.
CO3: Develop& implement effective communication mechanisms using techniques
like connection establishment, queuing theory, recovery.
CO4: Implement various congestion control techniques.
Cos Mapping with PO’s
CO1 PO2,PO4,PO6
CO2 PO3,PO4,PO7,PO9
CO3 PO3,PO5
CO4 PO3,PO4,PO11
TEXT BOOKS:
1. Larry Peterson and Bruce S Davis “Computer Networks :A System Approach” 5thEdition
, Elsevier -2014
REFERENCE BOOKS:
1. Uyless Black “Computer Networks, Protocols , Standards and Interfaces” 2ndEdition - PHI 2. Behrouz A Forouzan“TCP/IP Protocol Suite” 4thEdition – Tata McGraw-Hill 3. Douglas E Comer, “ Internetworking with TCP/IP, Principles, Protocols and Architecture” 6th Edition, PHI - 2014
Course Title : CRYPTOGRAPHY AND NETWORK SECURITY
Course Code: 20SCN13 No. of Credits: 3= 3 : 0 : 0 (L-T-P) No. of lecture hours/week : 4
Exam Duration :
3hours
CIE + SEE = 50 + 50 =100 Total No. of Contact Hours :
52
Course Objectives:
1. To understand the fundamentals of Cryptography . 2. To acquire knowledge on standard algorithms used to provide security. 3. To understand the various key distribution and management schemes. 4. To gain knowledge of securing data in transit across networks
Transport Layer Protocol, User Authentication Protocol, Connection Protocol.
Text Book : Chapter-15: 1,2,3,4,5
10
5 Electronic Mail Security
Pretty good privacy: Notation, Operational description
S/MIME:RFC5322, Multipurpose internet mail extensions, S/MIME
functionality, S/MIME messages
Domain keys identified mail: Internet Mail Architecture, E-Mail threats, DKIM
strategy, DKIM functional flow
Text Book : Chapter-17:1,2,3
IP Security
IP Security overview: Applications of IPsec, benefits of IPsec, Routing
applications, IPsec documents, IPsec services, transport and tunnel modes
IP Security policy: Security associations, Security associations database,
Security policy database, IP traffic processing, Encapsulating Security payload:
ESP format, encryption and authentication algorithms, Padding, Anti replay
service, transport and tunnel modes
Combining security associations: Authentication plus confidentiality, basic
combinations of security associations, Internet key exchange:key
determinations protocol, header and payload formats
Text Book : Chapter-18: 1,2,3,4,5
12
Note 1: All units will have internal choice
Note 2: Three Assignments are evaluated for 10 marks:
Assignment – I from Units 1 and 2.
Assignment – II from Units 3 and 4
Assignment -III from Unit 5
Note 3:Subject Seminar& group activity is evaluated for 10 marks
Course Outcomes:
After the completion of the course students will be able to
CO1: Analyze the vulnerabilities in any computing system and hence be able to design a security solution.
CO2:Identify the security issues in the network and resolve it.
CO3:Apply key management and distribution techniques .
CO4:Analyze security mechanisms at various layers of network model.
COs Mapping with PO’s
CO1 PO1,PO2,PO3,PO4
CO2 PO1,PO2,PO3,PO4
CO3 PO1,PO2,PO3,PO4,PO5
CO4 PO1,PO2,PO3,PO4,PO5
TEXT BOOK : BOOKS:
1. William Stallings: Cryptography and Network Security Principles and Practice, Pearson 6th edition. 2013
REFERENCE BOOKS / WEBLINKS:
1. V K Pachghare: Cryptography and Information Security, PHE ,2013.
Course Title : CLOUD COMPUTING
Course Code: 20SCN14 No. of Credits: 3=3: 0 : 0 (L-T-P) No. of lecture hours/week : 4
Exam Duration : 3hours CIE + SEE = 50 + 50 =100 Total No. of Contact Hours :
52
Course Objective:
● To study the fundamental characteristics, architecture and the different service models of Cloud Computing. ● To learn the Virtualization concepts and technologies used in Cloud Computing. ● To gain the knowledge of managing and securing the Cloud. ● To impart the concept of Service Oriented Architecture. ● To learn and work with the applications of different Cloud Services.
1. Dan C Marinescu: Cloud Computing Theory and Practice Elsevier(MK) 2013. 2. Rajkumar Buyya , James Broberg, Andrzej Goscinski: Cloud Computing Principles and Paradigms, Willey 2014. 3. John W Rittinghouse, James F Ransome:Cloud Computing Implementation, Management and Security, CRC Press 2013.
Course Title : COMPUTER NETWORKS AND CNS LABORATORY
CourseCode: 20SCNL16 No. of Credits:2= 0:0: 2.0 (L-T-
P)
No. of lecture hours/week : 3
Exam Duration : 3 hours CIE + SEE = 50 + 50 =100
Course objectives:
1. To learn Concepts of fundamental protocols. 2. To acquire knowledge of implementation concepts in error detections. 3. To understand the fundamentals of Cryptography through practical implementation. 4. To implement standard algorithms used to provide confidentiality and integrity.
Implement the following using C/C++ /JAVA or equivalent with LINUX/Windows environment:
1. Write a program to transfer the contents of a requested file from Server to the Client using TCP/IP Sockets.
2. Implement Distance Vector Routing algorithm.
3. Write a program for implementing the Error Detection Technique while data transfer in unreliable network code using CRC (16-bits) Technique.
4. Write a program to implement Caesar substitution cipher .
5. Write a program to implement rail fence transposition cipher .
6. Write a program to implement vegener polyalphabetic cipher.
7. Write a program to implement RSA encryption and decryption algorithms .
8. Write a program to implement Diffie-Hellman Key Exchange algorithm.
9. Consider an alphanumeric data, encrypt and Decrypt the data using advanced encryption
standards and verify for the correctness.
10. Implement secure hash algorithm for Data Integrity. Implement MD5 and SHA-1 algorithm, which
accepts a string input, and produce a fixed size number -128 bits for MD5; 160 bits for SHA-1, this number
is a hash of the input. Show that a small change in the input results in a substantial change in the output.
Simulation Programs using OPNET /NS2/NS3/NCTUNS/Packet Tracer or any other equivalent software
11. Simulate a 3 node point to point network with duplex links between them. Set the Queue size and
vary the bandwidth and find the number of packets dropped.
12. Simulate a four node point-to-point network with the links connected as follows:
n0 – n2, n1 – n2 and n2 – n3. Apply TCP agent between n0-n3 and UDP between n1-n3. Apply relevant
applications over TCP and UDP agents changing the parameter and determine the number of packets
sent by TCP / UDP.
Note: In the examination the student has to answer one question from a lot of 12 questions.
Course Outcomes:
After completing the course the students are able to:
CO1: Design client server applications using socket programming API.
CO3: Analyze the network performance based on simulation results .
CO4: Design and implement ciphers.
COs Mapping with POs
CO1 PO2, PO3
CO2 PO2, PO3,PO4
CO3 PO2, PO3,PO4
CO4 PO2, PO3,PO4
Course Title : Technical Seminar
CourseCode: 20SCNS17 No. of Credits:2=0: 2:0 (L-T-P) No. of lecture hours/week : 2
Exam Duration : 3 hours CIE = 50
Course Title : Mini Project/Industry Visit/Field Work
CourseCode: 20SCNM18 No. of Credits:2=0:0:6 (L-T-P) No. of lecture hours/week : 6
Exam Duration : 3 hours CIE = 50
ELECTIVE I
Sub Title : WIRELESS AD-HOC NETWORKS
Sub Code:20SCN151 No. of Credits: 3=3:0:0(L-T-P) No. of lecture hours/week : 4
Exam Duration :
3 hours
CIE +Assignment + SEE =
50+50=100
Total No. of Contact Hours :52
Course objectives:
The objectives of this course are to:
1. Overview of Ad-hoc Networks 2. To gain Knowledge of Ad-hoc network protocols 3. To be aware of current and emerging trends in Ad-hoc Wireless Networks. 4. To aquire knowledge of energy management in ad-hoc wireless networks.
MAC Protocols for Ad-hoc Wireless Networks: Introduction, Issues in Designing a MAC Protocol, Design Goals of MAC Protocols, Classification of MAC protocols, Contention-Based Protocols, Contention-Based Protocols with Reservation Mechanisms, Contention-Based Protocols with Scheduling Mechanisms, MAC Protocols that Use Directional Antennas.
Chapter 5.1-5.3,6.1-6.8
11
2 Routing Protocols for Ad-hoc Wireless Networks: Introduction, Issues in Designing a Routing Protocol for Ad-hoc Wireless Networks, Classification of Routing Protocols: Table Driven Routing Protocols, On-Demand Routing Protocols, Hybrid Routing Protocols, Hierarchical Routing Protocols and Power-Aware Routing Protocols.
Chapter 7.1-7.9
11
3 Multicast Routing in Ad-hoc Wireless Networks: Introduction, Issues in Designing a Multicast Routing Protocol, Operation of Multicast Routing Protocols, An Architecture Reference Model for Multicast Routing Protocols, Classifications of Multicast Routing Protocols, Tree-Based Multicast Routing Protocols and Mesh-Based Multicast Routing
Protocols.
Chapter8.1-8.7
10
4 Transport Layer and Security Protocols for Ad-hoc Networks: Introduction, Issues in Designing a Transport Layer Protocol, Design Goals of a Transport Layer Protocol, Classification of Transport Layer Solutions, TCP over Transport Layer Solutions.
Security in Ad-hoc Wireless Networks: Issues and Challenges in Security Provisioning, Network Security Attacks, Key Management and Secure routing Ad-hoc Wireless Networks.
Chapter 9.1-9.5,9.7-9.12
10
5 Quality of Service and Energy Management in Ad-hoc Wireless Networks: Introduction, Issues and Challenges in Providing QoS in Ad-hoc Wireless Networks, Classification of QoS Solutions, MAC Layer Solutions.
Energy Management in Ad-hoc Wireless Networks: Introduction, Need for Energy Management in Ad-hoc Wireless Networks, Classification of Energy Management Schemes, Battery Management Schemes, Transmission Management Schemes, System Power Management Schemes.
Chapter 10.1-10.4,11.1-11.6
10
Note 1: All units will have internal choice
Note 2: Three Assignments are evaluated for 10 marks:
Assignment – I from Units 1 and 2.
Assignment – II from Units 3 and 4
Assignment -III from Unit 5
Note 3: Note 3:Subject Seminar& group activity is evaluated for 10 marks
Course Outcomes:
At the end of the course, the students will be able to:
CO1:Design wireless network
CO2:Implement the different routing protocols.
CO3:Choose appropriate protocol for various applications
CO4:Identify security issues present at different level
CO5:Analyze energy consumption and improve system power
COs Mapping with POs
CO1 PO1,PO2,PO3,PO4,PO11
CO2 PO1,PO2,PO3,PO4,PO5,PO6,PO8
CO3 PO1,PO2,PO3,PO4,PO6,PO8
CO4 PO1,PO2,PO3,PO10,PO11
CO5 PO1,PO2,PO3,PO6,PO9,PO11
TEXT BOOK:
1. C. Siva Ram Murthy & B. S. Manoj: Ad-hoc Wireless Networks, 2nd Edition, Pearson Education, 2011
REFERENCE BOOKS/WEBLINKS:
1. Srikanta Patnaik and Xiaolong Li: Recent Development in Wireless Sensor and Ad-hoc Networks Springer, 2015.
2. C.K. Toh: Ad-hoc Mobile Wireless Networks- Protocols and Systems, Pearson
5 Data Analytics for IoT– Introduction, Apache Hadoop, Using Hadoop
MapReduce for Batch Data Analysis, Apache Oozie, Apache Spark,
Apache Storm, Using Apache Storm for Real-time Data Analysis,
Structural Health Monitoring .
TEXT BOOK 1:Chapter 10-10.1,10.2,10.3,10.4,10.5,10.6,10.7,10.8
10
Note 1: All units will have internal choice
Note 2: Three Assignments are evaluated for 10 marks:
Assignment – I from Units 1 and 2.
Assignment – II from Units 3 and 4
Assignment -III from Unit 5
Note 3:Subject Seminar & group activity is evaluated for 10 marks
Course outcomes:
Upon completion of the course, the students will be able to
CO1:Interpret the impact and challenges posed by IoT networks leading to new architectural models.
CO2: Appraise the role of IoT protocols for efficient network communication
CO3: Deployment of different sensor technologies and Layers to connect the network.
CO4: To Deploy the role of IoT design in various domains of Industry
CO5:Elaborate the need for Data Analytics .
COs Mapping with PO’s
CO1 PO3,PO4,PO5,PO6,PO9,PO10
CO2 PO3,PO4,PO5,PO6,PO7,PO9,PO10
CO3 PO4,PO6,PO7,PO9,PO11
CO4 PO4,PO5,PO6,
PO8,PO9,PO10,PO11,PO12
CO5 PO4,PO5,PO6,PO7,PO9,PO10
TEXT BOOK:
1. ArshdeepBahga, Vijay Madisetti, ”Internet of Things : A Hands on Approach” Universities Press., 2015 2. Daniel Minoli, ”Building the Internet of Things with IPv6 and MIPv6:The Evolving World of M2M Communications”, Wiley, 2013
REFERENCE BOOKS/WEBLINKS
1.Michael Miller,” The Internet of Things”, First Edition, Pearson, 2015.
2.Claire Rowland,Elizabeth Goodman et.al.,” Designing Connected Products”, First Edition,O’Reilly, 2015
Course Title : TRENDS IN ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING
CourseCode:20SCN153 No. of Credits:3=3 : 0 : 0 (L-T-P) No. of lecture hours/week : 4
Exam Duration :
3 hours
CIE + SEE= 50+50 =100
Total No. of Contact Hours :52
Course Objectives
1. Describe Artificial Intelligence ,its utility and intelligent agents 2. Use and implement search techniques 3. Use knowledge representation techniques for problem solving
4. Describe and apply Fuzzy systems to various problem domains 5. Describe and apply GA to different problem domains
UNIT No Syllabus Content
No of Hours
1 Role of AI in Engineering, AI in daily life, Intelligence and AI, Different
Task Domains of AI, History and Early Works of AI, History of AI,
Programming Methods, Limitaions of Ai, Agent, Performance
Evaluation, Task environment of an Agent, Agents Classification, Agent
conceptual graphs, conceptual dependence theory, script, weak and
12
strong slot filler. Reasoning: Types of Reasoning, Methods of reasoning,
Application of Reasoning, Forward and Backward Reasoning
Text1:Ch4,Ch6,Ch7.1-7.4
3 Search Techniques: Search, Representation techniques, Categories of
Search, Disadvantage of state space search, Issues in design of search
programs, General Search examples, Classification of search diagram
representation, Hill climbing method and Hill climbing search
,Simulates Annealing, Best-First Search, Branch and Bound Search, A
search Game Playing: Two player games, Minmax Search, Complexity
of Minmax algorithm, Alpha-Beta Pruning Planning: Necessity of
planning, Components of Planning, Planning Agents, Plan-
gererating schemes, Algorithm for planning, Planning
Representation with STRIPS, BlOCKS WORLD, difficulties with planning.
Text1:Ch8,Ch9,Ch10,Ch11
10
4 Fuzzy Sets and Uncertainties: Fuzzy set and fuzzy logic, set and fuzzy
operators, , Extended fuzzy operations, Fuzzy relations, Properties of
fuzzy relations, Fuzzy system and design, Linguistic hedges, Syntax for IF
and Then rules, , Types of fuzzy rule based system, Fuzzy linguistic
controller, Fuzzy Inference, Graphical techniques of Inference, How,
Fuzzy logic is used, Fuzzification, De-fuzzification. Unique features of
Fuzzy Logic, Application of Fuzzy Logic, Fuzzy logic uncertainty and
probability, Advantages and Limitations of Fuzzy logic and Fuzzy
Systems.Text1:Ch5
10
5 Advancement of AI: Expert System, Expert System structure,
Knowledge acquisition,Knowledge representation, Inference control
mechanism, User interface, Expert System Shell, Knowledge
Representation, Inference Mechanism, Developer Interface and User
Interface, Characteristics of Expert system, Advantages of an expert
system, Production System, Artificial Neural Networks, : Characteristics
of Neural Networks, Architecture of neural networks, Types of neural
networks, Application of neural networks. Text1:Ch12
10
Note 1: All units will have internal choice
Note 2: Three Assignments are evaluated for 10 marks:
Assignment – I from Units 1 and 2.
Assignment – II from Units 3 and 4
Assignment -III from Unit 5
Note 3:Subject Seminar is evaluated for 10 marks
Course Outcomes:
CO1:Design intelligent agents for problem solving, reasoning, planning, decision making, and
learning.
CO2:Apply AI technique to current applications.
CO3:Apply Problem solving, knowledge representation, reasoning, and learning techniques to
solve real world problems
CO4:Design and build expert systems for various application domains.
CO5:Apply Soft Computing techniques such as neural networks, fuzzy logic to solve problems in various
application domains
COs Mapping with PO’s
CO1 PO1,PO2,PO3
CO2 PO1,PO2,PO3
CO3 PO1,PO2,PO3
CO4 PO2,PO3,PO4
CO5 PO2,PO3,PO4
Text Books:
1. Anindita Das Battacharjee, Artificial Intelligence and Soft computing for Beginners, Shroff
Publishers, 2nd edition
REFERENCE BOOKS/WEBLINKS
1. Elaine Rich,Kevin Knight, Shivashanka B Nair:Artificial Intelligence, Tata CGraw Hill 3rd edition 2013.
2. Stuart Russel, Peter Norvig: Artificial Intelligence A Modern Approach, Pearson 3rd
edition. 3. Neural Networks, Fuzzy Logic and Genetic Algorithms by S. Rajasekaran, G. A. Vijayalakshmi
Pai PHI publication
4. Nils J. Nilsson: “Principles of Artificial Intelligence”, Elsevier, ISBN-13: 978093461310
Sub Title : ADVANCES IN STORAGE AREA NETWORKS
Sub Code: 20SCN154 No. of Credits:3=3 : 0 : 0 (L-T-P) No. of Lecture Hours/Week : 4
Exam Duration :
3 hours
Exam Marks :CIE +Assignment + SEE = 45 + 5 + 50 =100
Total No. of Contact Hours : 52
Unit No. Syllabus Content No. of Hours
1 Introduction: Server Centric IT Architecture and its Limitations; Storage – Centric IT Architecture and its advantages. Case study: Replacing a server with Storage Networks The Data Storage and Data Access problem; The Battle for size and access. Intelligent Disk Subsystems: Architecture of Intelligent Disk Subsystems; Hard disks and Internal I/O Channels; JBOD, Storage virtualization using RAID and different RAID levels; Caching: Acceleration of Hard Disk Access; Intelligent disk subsystems, Availability of disk subsystems.
Sections: 1.1-1.3, 2.1-2.8
12
2 I/O Techniques: The Physical I/O path from the CPU to the Storage System; SCSI; Fiber Channel Protocol Stack; Fibre Channel SAN; IP Storage. Network Attached Storage: The NAS Architecture, The NAS hardware Architecture, The NAS Software Architecture, Network connectivity, NAS as a storage system. File System and NAS: Local File Systems; Network file Systems and file servers; Shared Disk file systems; Comparison of fibre Channel and NAS.
Sections: 3.1-3.5, 4.1-4.5
10
3 Storage Virtualization: Definition of Storage virtualization ; Implementation Considerations; Storage virtualization on Block or file level; Storage virtualization on various levels of the storage Network; Symmetric and Asymmetric storage virtualization in the Network.
Sections: 5.3-5.7
10
Course Objectives:
1. To understand the fundamentals of storage architecture along with storage virtualization. 2. To understand the metrics used for designing storage area networks. 3. To enable the students to understand RAID concepts. 4. To appreciate the use of cables technologies used in SAN technology.
4 Applications of Storage Network: Definition of the Term ‘Storage Network’, Storage Sharing, Availability of Data, Adaptability and Scalability of IT Systems, General Conditions for Backup Network Backup Services Components of Backup Servers, Backup clients
Sections: 6.1-6.4, 7.1-7.4
10
5 Management of Storage Network: System Management, Requirement of management System, Support by Management System, Management Interface, Standardized Mechanisms, Property Mechanisms, In-band Management, out-of-band management.
Sections: 10.1-10.4
10
Note 1: All units will have internal choice
Note 2: Three Assignments are evaluated for 10 marks:
Assignment – I from Units 1 and 2.
Assignment – II from Units 3 and 4
Assignment -III from Unit 5
Note 3:Subject Seminar & group activity is evaluated for 10 marks
Course Outcomes:
After the completion of course, the students will be able to:
CO1: Identify the need for storage networks and its advantages.
CO2: Recognize various RAID levels.
CO3: Apply the concept of storage virtualization and recognize steps for Business continuity
planning in an Enterprise. CO4: Analyze SAN architecture along with the use of cables technologies.
CO5: Realize the concept of management of storage network.
COs Mapping with POs
CO1 PO1, PO2, PO12
CO2 PO1, PO2
CO3 PO1,PO2,PO11
CO4 PO1,PO2,PO12
CO5 PO1, PO2,PO11, PO12
TEXT BOOKS:
1. Ulf Troppens, Rainer Erkens and Wolfgang Muller: Storage Networks Explained, Wiley India, 2013.
REFERENCE BOOKS/WEB LINKS:
1.Robert Spalding: “Storage Networks The Complete Reference”, Tata McGraw-Hill, 2011.
2. Marc Farley: Storage Networking Fundamentals – An Introduction to Storage Devices, Subsystems,
Applications, Management, and File Systems, Cisco Press, 2005.
3. Richard Barker and Paul Massiglia: “Storage Area Network Essentials A CompleteGuide to
understanding and Implementing SANs”, Wiley India, 2006
Dr. Ambedkar Institute of Technology
SCHEME OF TEACHING AND EXAMINATION (Autonomous)for Academic Year 2020-2021
M. Tech in Cyber Forensics and Information Security
Batch:2020-2021
I semester
Sl.
No
.
Sub
Code
Subject
Title
Teaching
Departme
nt
Teaching hours per week Maximum Marks
allotted
Examinati
on
Credits Lectu
re
Tutorial/
Seminar/
Assignment
Practi
cal
/
Projec
t
CIE SEE Total
1. 20SCF1
1
Probability
Statistics
and
Queuing
Theory
MAT 4 - - 50 50 100 3
2. 20SCF1
2
Risk
Assessmen
t and
Security
Audit
ISE 4 - - 50 50 100 3
3. 20SCF1
3
Cryptograp
hy and
Network
Security
ISE 4 - - 50 50 100 3
4. 20SCF1
4
Web
Application
s and Web
Security
ISE 4 - - 50 50 100 3
5. 20SCF1
5X
ELECTIVE –
I
ISE 4 - - 50 50 100 3
6. 20SCFL
16
Computer
Networks
and CNS
Lab
ISE - - 3 50 50 100 2
7. 20SCFS
17
Technical
Seminar
ISE - 2 - 50 - 50 2
8. 20SCF
M18
Mini
project/
Industry
visit/
Field work
ISE - - 6 50 - 50 2
Total 400 300 700 21
Technical Seminar: Seminar on Advanced topics from refereed journals by each student.
ELECTIVE I
Sl .No Name of the Subject Subject Code
1 Cloud Security 20SCF151
2 Mobile And Digital Forensics 20SCF152
3 Trends in Artificial Intelligence and Soft Computing 20SCF153
4 Advances In Storage Area Networks 20SCF154
Course Objectives:
1.Develop analytical capability and to impart knowledge of Probability, Statistics and Queuing.
2. Apply above concepts in Engineering and Technology.
3.Acquire knowledge of Hypothesis testing and Queuing methods and their applications so as to
enable them to apply them for solving real world problems
UNIT
No
Syllabus Content
No of
Hours
1 Axioms of probability, Conditional probability, Total probability, Baye’s theorem,
Discrete Random variable, Probability mass function, Continuous Random variable.
Probability density function, Cumulative Distribution Function, and its properties,
Two-dimensional Random variables, Joint pdf / cdf and their properties
12
2 Probability Distributions / Discrete distributions: Binomial, Poisson Geometric and
Hyper-geometric distributions and their properties. Continuous distributions:
Uniform, Normal, exponential distributions and their properties
10
3 Random Processes: Classification, Methods of description, Special classes, Average
values of Random Processes, Analytical representation of Random Process,
Autocorrelation Function, Cross-correlation function and their properties,
Ergodicity, Poisson process, Markov Process and Markov chain.
10
4 Testing Hypothesis: Testing of Hypothesis: Formulation of Null hypothesis, critical
region, level of significance, errors in testing, Tests of significance for Large and Small
Samples, t-distribution, its properties and uses, F-distribution, its properties and
uses, Chi-square distribution and its properties and uses, χ2 – test for goodness of
fit, χ2 test for independence.
10
5 Symbolic representation of a Queuing Model, Poisson Queue system, Little Law,
Types of Stochastic Processes, Birth-Death Process, The M/M/1 Queuing System,
The M/M/s Queuing System, The M/M/s Queuing with Finite buffers.
10
Sub Title : PROBABILITY STATISTICS AND QUEUING THEORY
SubCode:20SCF11 No. of Credits:3= 3:0:0 (L-T-P) No.of Lecture Hours/Week :4
Exam Duration :
3 hours
CIE + SEE = 50 + 50 =100
Total No. of Contact Hours : 52
Note 1: All units will have internal choice
Note 2: Three Assignments are evaluated for 10 marks:
Assignment – I from Units 1 and 2.
Assignment – II from Units 3 and 4
Assignment -III from Unit 5
Note 3:Subject Seminar & group activity is evaluated for 10 marks
Course Outcomes:
After the completion of the above course students will be able to:
CO1: Demonstrate use of probability and characterize probability models using probability mass
(density) functions & cumulative distribution functions.
CO2: Explain the techniques of developing discrete & continuous probability distributions and its
applications.
CO3: Outline methods of Hypothesis testing for goodness of fit
CO4: Define the terminology &nomenclature appropriate queuing theory and also distinguish various
queuing models.
COs Mapping with POs
CO1 PO3,PO4,PO7,PO9,PO10
CO2 PO2,PO3,PO4,PO9,PO12
CO3 PO2,PO3,PO4,PO9,PO12
CO4 PO2,PO3,PO4,PO9,PO12
TEXT BOOKS:
1. Probability, Statistics and Queuing Theory, V. Sundarapandian, Eastern Economy Edition, PHI Learning Pvt. Ltd, 2009.
REFERENCE BOOKS / WEBLINKS:
1. Probability & Statistics with Reliability, Queuing and Computer Applications, 2 nd
Edition by Kishor. S. Trivedi , Prentice Hall of India ,2004.
2. Probability, Statistics and Random Processes, 1st Edition by P Kausalya, Pearson
Education, 2013.
Course Title: RISK ASSESSMENT & SECURITY AUDIT
Course Code:
20SCF12 No. of Credits: 3 = 3: 0 : 0 (L–T– P) No of Lecture Hours/Week:4
Exam Duration:
3 Hours
CIE + SEE = 50 + 50 =100
Total No. of Contact Hours :
52
Course Objectives:
1.To gain the knowledge about Information Risk.
2. To discover knowledge in collecting data about organization.
3. To do various analysis on Information Risk Assessment.
4. To understand IT audit and its activities.
Unit
No Syllabus content
No of
Hours
1 INTRODUCTION: What is Risk? –Information Security Risk Assessment
Overview- Drivers, Laws and Regulations- Risk Assessment Frame work –
Practical Approach.
Text Book1: Chapter1: Page 1-26
Chapter2: Page 27
10
2. DATA COLLECTION: The Sponsors- The Project Team- Data Collection
Mechanisms- Executive Interviews- Document Requests- IT Assets Inventories-
Profile & Control Survey Consolidation.
Text Book1: Chapter3: Page 64-96
10
3. DATA ANALYSIS :Compiling Observations- Preparation of catalogs- System Risk
Computation Impact Analysis Scheme- Final Risk Score
Text Book1: Chapter4: Page 105-140
10
4. RISK ASSESSMENT :System Risk Analysis- Risk Prioritization- System Specific Risk
Treatment- Issue Registers- Methodology- Result- Risk Registers- Post Mortem.
1. Web applications vulnerability and malicious attacks. 2. Basic web technologies used for web application development. 3. Basic concepts of Mapping the application. 4. Illustrate different attacking illustrations. 5. Basic concepts of Attacking.
Control Methods.Chapter 6:page 133-154, Chapter 8: page 217-223
09
5 Attacking Data Stores: Injecting into Interpreted Contexts, Bypassing a Login, Injecting into
SQL, Exploiting a Basic Vulnerability Injecting into Different Statement Types, Finding SQL
Injection Bugs, Fingerprinting the Database, The UNION Operator, Extracting Useful Data,
Extracting Data with UNION, Bypassing Filters, Second-Order SQL Injection, Advanced
Exploitation Beyond SQL Injection: Escalating the Database Attack, Using SQL Exploitation
Tools, SQL Syntax and Error Reference, Preventing SQL Injection
Chapter 7: Page no 237-299
12
Note 1: All units will have internal choice
Note 2: Three Assignments are evaluated for 10 marks:
Assignment – I from Units 1 and 2.
Assignment – II from Units 3 and 4
Assignment -III from Unit 5
Note 3:Subject Seminar & group activity is evaluated for 10 marks
Course Outcomes:
After the completion of the course students will be able to
CO1:Achieve Knowledge of web applications vulnerability and malicious attacks.
CO2:Apply the basic web technologies used for web application development
CO3: Analyze the basic concepts of Mapping the application.
CO4: Able to illustrate different attacking illustrations.
CO5: Basic concepts of Attacking Data Stores.
COs Mapping with POs
CO1 PO1,PO2, PO4,PO5,PO7
CO2 PO1,PO2, PO4,PO5
CO3 PO1, PO2,PO4,PO5,
CO4 PO1,PO2,PO3, PO4,
CO5 PO1,PO2, PO4,PO5, PO7
TEXT BOOK:
1. The Web Application Hacker's Handbook: Finding And Exploiting Security DefyddStuttard, Marcus Pinto Wiley Publishing, Second Edition.
REFERENCE BOOKS:
1. Professional Pen Testing for Web application, Andres Andreu, Wrox Press.
2. Carlos Serrao, Vicente Aguilera, Fabio Cerullo, Web Application Security Springer; 1st Edition
3. Joel Scambray, Vincent Liu, Caleb Sima ,“Hacking exposed, McGraw-Hill; 3rd Edition,
(October, 2010).
4. OReilly Web Security Privacy and Commerce 2nd Edition 2011.
5. Software Security Theory Programming and Practice, Richard sinn, Cengage Learning.
6.Database Security and Auditing, Hassan, Cengage Learning
ELECTIVE –I
Course Objectives:
1. Fundamental security concepts and architectures that serve as building blocks to database security 2. Concepts of user account management and administration, including security risks 3. To use current database management system to design and configure the user and data permissions. 4. Operational components necessary to maximize database security using various security models
Note 2: Three Assignments are evaluated for 10 marks:
Assignment – I from Units 1 and 2.
Assignment – II from Units 3 and 4
Assignment -III from Unit 5
Note 3:Subject Seminar & group activity is evaluated for 10 marks
Course Outcomes:
After the completion of the course students will be able to
COs Mapping with POs
CO1 PO1,PO2, PO4,PO5,PO7
CO2 PO1,PO2, PO4,PO5
CO3 PO1, PO2,PO4,PO5,
CO4 PO1,PO2,PO3, PO4,
CO5 PO1,PO2, PO4,PO5, PO7
Text Book :
1. Cloud Security- A Comprehensive Guide to Secure Cloud Computing by Ronald L. Krutz, Russell Dean Vines
CO1:Carry out a risk analysis for a large database
CO2:Implement identification and authentication procedures, fine-grained access control and data
encryption techniques.
CO3:Set up accounts with privileges and roles
CO4:Audit accounts and the database system
Course Objectives
1. Understand the basics of wireless technologies and security 2. Become knowledgeable in mobile phone forensics and android forensics 3. Learn the methods of investigation using digital forensic techniques.
Unit
No.
Syllabus Content
No. of
Hours
1 Overview of wireless technologies and security: Personal Area Networks, Wireless
Local Area Networks, Metropolitan Area Networks, Wide Area Networks.
TextBook1: Chapter1: Page1-10
10
2 Wireless threats, vulnerabilities and security: Wireless LANs, War Driving, War
Chalking, War Flying, Common Wi-fi security recommendations, PDA Security, Cell
Phones and Security, Wireless DoS attacks, GPS Jamming, Identity theft.
TextBook1: Chapter2: Page13-35
09
3 Wireless crime fighting; Wireless crime prevention techniques, police use of wireless
devices, personal security and RFID, wireless honeypots.
TextBook1: Chapter3: Page43-49
12
4 Digital forensic principles and wireless forensics: Cyber crime forensic principles,
Investigating cyber crime, Network forensics in a wireless environment, 802.11
Forensics, PDA forensics, Cell phone forensics.
TextBook1: Chapter4: Page51-106
09
5 The wireless future: Introduction, new Twists, pervasive computing and cultural
shifts, wireless shifts and trends, new functionalities for wireless devices, The home
element, Relationships, virtual communities and beyond, city-sized hotspots,