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UNIVERSITY COLLEGE OF ENGINEERING KAKINADA
MATHEMATICS – I (Linear Algebra and Vector Calculus)
(Common to ALL branches of First Year B.Tech.)
Course Objectives:
1. The course is designed to equip the students with the necessary mathematical skills and
techniques that are essential for an engineering course.
2. The skills derived from the course will help the student from a necessary base to develop analytic
and design concepts.
3. Understand the most basic numerical methods to solve simultaneous linear equations.
Course Outcomes: At the end of the Course, Student will be able to:
1. Determine rank, Eigenvalues and Eigen vectors of a given matrix.
2. Determine double integral over a region and triple integral over a volume.
3. Calculate gradient of a scalar function, divergence and curl of a vector function. Determine
line, surface and volume integrals.
UNIT I: Matrix Theory:
Rank-Echelon form-Normal form.
Eigen values - Eigen vectors– Properties – Cayley-Hamilton theorem - Inverse and powers of a matrix by
using Cayley-Hamilton theorem- Diagonalization- Quadratic forms- Reduction of quadratic form to
canonical form – Rank - Positive, negative and semi definite - Index – Signature.
Applications: Free vibration of a two-mass system.
UNIT II: Special functions:
Introduction to Improper Integrals-Beta and Gamma functions- Properties - Relation between Beta and
Gamma functions- Evaluation of improper integrals.
Applications: Evaluation of integrals.
UNIT III: Multiple integrals:
Curve tracing: Cartesian, Polar and Parametric forms.
Multiple integrals: Double and triple integrals – Change of variables – Change of order of integration.
UNIT IV: Applications of Integration:
Length of curves, Finding Areas and Volumes. Volumes and Surfaces of solids of revolution.
UNIT V: Vector Differentiation:
Gradient- Divergence- Curl - Laplacian and second order operators -Vector identities.
Applications: Equation of continuity, potential surfaces
UNIT VI: Vector Integration:
Line integral –Conservative vector field – Potential function – Area- Surface and volume integralsVector integral theorems: Greens, Stokes and Gauss Divergence theorems (without proof) and related
problems.
Applications: Work done, Force.
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Text Books:
1. B.S.Grewal, Higher Engineering Mathematics, 43rd Edition, Khanna Publishers.
2. N.P.Bali, Engineering Mathematics, Lakshmi Publications.
Reference Books:
1. Greenberg, Advanced Engineering Mathematics, 2nd edition, Pearson edn
2. Erwin Kreyszig, Advanced Engineering Mathematics, 10th Edition, Wiley-India
3. Peter O’Neil, Advanced Engineering Mathematics,7th edition, Cengage Learning.
4. Srimanta Pal, Subodh C.Bhunia, Engineering Mathematics, Oxford University Press.
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MATHEMATICS – II (Numerical Methods and Integral Transforms)
(Common to ALL branches of First Year B.Tech.)
Course Objectives:
1. The course is designed to equip the students with the necessary mathematical skills and
techniques that are essential for an engineering course.
2. The skills derived from the course will help the student from a necessary base to develop analytic
and design concepts.
3. Understand the most basic numerical methods to solve simultaneous linear equations.
Course Outcomes: At the end of the Course, Student will be able to:
1. Calculate a root of algebraic and transcendental equations.
2. Compute interpolating polynomial for the given data and find Numerical differentiation and
integration to the given data.
3. Solve ordinary differential equations numerically.
4. Find Integral transforms for certain functions.
UNIT I: Solution of Algebraic and Transcendental Equations:
Introduction- Bisection method – Method of false position –Secant Method- Iteration method – NewtonRaphson method.
Solution of linear systems – Gauss elimination - Gauss Jacobi and Gauss Seidel methods- Newton
Raphson Method for non linear simultaneous equations. Power Method for finding Largest Eigenvalue –
Eigenvector.
UNIT II: Interpolation:
Introduction– Finite differences- Forward differences- Backward differences –Central differences –
Newton’s forward and backward formulae – Interpolation with unequal intervals - Lagrange’s and
Newton’s divided difference formula- Errors in polynomial interpolation.
UNIT III: Numerical Differentiation and Integration:
Numerical Differentiation (with equal and unequal interval), Numerical Integration-Trapezoidal rule,
Simpson’s 1/3rd rule and 3/8th rule.
UNIT IV: Numerical Solution of Ordinary Differential equations:
Condition for existence and uniqueness of a solution(statement only) - Solution of ordinary differential
equations by Taylor’s series- Euler’s method – Modified Euler.
Runge-Kutta methods (second and fourth order) for first and second order initial value problems Predictor and Corrector Methods (Adams-Bashforth and Milnes).
UNIT V: Laplace transforms:
Laplace transforms of standard functions-Shifting theorems - Transforms of derivatives and integrals –
Unit step function –Dirac’s delta function- Inverse Laplace transforms– Convolution theorem (with out
proof).
Applications: Solving ordinary differential equations (initial value problems) using Laplace transforms.
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UNIT VI: Fourier Transforms:
Fourier integral theorem (without proof) – Fourier sine and cosine integrals - sine and cosine transforms –
properties – inverse transforms – Finite Fourier transforms.
Text Books:
1. B.S.Grewal, Higher Engineering Mathematics, 43rd Edition, Khanna Publishers.
2. N.P.Bali, Engineering Mathematics, Lakshmi Publications.
Reference Books:
1. R.K. Jain, S.R.K. Iyengar, M.K. Jain, Numerical Methods for Scientists and Engineering, New
Age Publications.
2. S.S. Sastry, Introduction to Numerical Analysis, PHI.
3. V. Ravindranath and P.Vijayalakshmi, Mathematical Methods, Himalaya Publishing House.
4. Erwin Kreyszig, Advanced Engineering Mathematics, 10th Edition, Wiley-India
5. David Kincaid, Ward Cheney, Numerical Analysis-Mathematics of Scientific Computing, 3rd
Edition, Universities Press.
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MATHEMATICS – III (Differential Equations)
(Common to ALL branches of First Year B.Tech.)
Course Objectives:
1. The course is designed to equip the students with the necessary mathematical skills and
techniques that are essential for an engineering course.
2. The skills derived from the course will help the student from a necessary base to
develop analytic and design concepts.
Course Outcomes: At the end of the Course, Student will be able to:
1. Solve ordinary and partial differential equations of first, second and higher order.
2. Determine Fourier Series of a function.
3. Calculate total derivative, Jacobian, maxima and minima of functions of two variables.
UNIT I: Partial differentiation:
Introduction- Homogeneous function-Euler’s theorem-Total derivative-Chain rule-Generalized Mean
value theorem for single variable (without proof)-Taylor’s and Mc Laurent’s series expansion of
functions of two variables– Functional dependence- Jacobian.
Applications: Maxima and Minima of functions of two variables without constraints and Lagrange’s
method (with constraints).
UNIT II:
Differential equations of first order and first degree:
Linear-Bernoulli-Exact-Reducible to exact.
Applications: Newton’s Law of cooling-Law of natural growth and decay-Orthogonal trajectoriesElectrical circuits- Chemical reactions.
Linear differential equations of higher order:
Non-homogeneous equations of higher order with constant coefficients with RHS term of the type e ax, sin
ax, cos ax, polynomials in x, eax V(x), xV(x)- Method of Variation of parameters.
Applications: LCR circuit, Simple Harmonic motion.
UNIT III: Fourier Series:
Introduction- Periodic functions – Fourier series of -periodic function - Dirichlet’s conditions – Even and
odd functions –Change of interval– Half-range sine and cosine series.
UNIT IV: First order Partial differential equations:
Formation of partial differential equations by elimination of arbitrary constants and arbitrary functions –
solutions of first order linear (Lagrange) equation and nonlinear (standard types) equations.
UNIT V: Higher order Partial differential equations:
Solutions of Linear Partial differential equations with constant coefficients. RHS term of the type
e axby , sin( ax  by), cos(ax  by), x m y n
.
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UNIT VI: Applications of PDE:
Classification of second order partial differential equations, Method of separation of Variables- Solution
of One dimensional Wave, Heat and two-dimensional Laplace equation and related problems.
Text Books:
1. B.S.Grewal, Higher Engineering Mathematics, 43rd Edition, Khanna Publishers.
2. N.P.Bali, Engineering Mathematics, Lakshmi Publications.
Reference Books:
1. Erwin Kreyszig, Advanced Engineering Mathematics, 10th Edition, Wiley-India
2. Micheael Greenberg, Advanced Engineering Mathematics, 9th edition, Pearson edn
3. Dean G. Duffy, Advanced engineering mathematics with MATLAB, CRC Press
4. Peter O’neil, Advanced Engineering Mathematics, Cengage Learning.
5. Srimanta Pal, Subodh C.Bhunia, Engineering Mathematics, Oxford University Press.
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Probability and Statistics
(Common to Civil, CSE, IT, PE and PCE, Metallurgy branches)
Course Objectives: To acquaint students with the fundamental concepts of probability and statistics and
to develop an understanding of the role of statistics in engineering. Also to introduce numerical
techniques to solve the real world applications.
Course Outcomes: At the end of the Course, Student will be able to:
1. Examine, analyze, and compare various Probability distributions for both
discrete and continuous random variables.
2. Describe and compute confidence intervals for the mean of a population.
3. Describe and compute confidence intervals for the proportion and the variance
of a population and test the hypothesis concerning mean, proportion and
variance and perform ANOVA test.
4. Fit a curve to the numerical data.
UNIT I: Discrete Random variables and Distributions:
Introduction-Random variables- Discrete Random variable-Distribution function-Expectation-Moment
Generating function-Moments and properties.
Discrete distributions: Binomial, Poisson and Geometric distributions and their fitting to data.
UNIT II: Continuous Random variable and distributions:
Introduction-Continuous Random variable-Distribution function- Expectation-Moment Generating
function-Moments and properties.
Continuous distribution: Uniform, Exponential and Normal distributions, Normal approximation to
Binomial distribution -Weibull, Gamma distribution.
UNIT III: Sampling Theory:
Introduction - Population and samples- Sampling distribution of means (  known)-Central limit
theorem- t-distribution- Sampling distribution of means (  unknown)- Sampling distribution of
variances -  and F-distributions- Point estimation- Maximum error of estimate - Interval estimation.
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UNIT IV: Testing of Hypothesis:
Introduction –Hypothesis-Null and Alternative Hypothesis- Type I and Type II errors –Level of
significance - One tail and two-tail tests- Tests concerning one mean and proportion, two meansProportions and their differences- ANOVA for one-way and two-way classified data.
UNIT V: Curve fitting and Correlation:
Introduction - Fitting a straight line –Second degree curve-exponential curve-power curve by method of
least squares-Goodness of fit.
Correlation Coefficients (Karl Pearson and Spearman) and Linear Regression – Properties.
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UNIT VI: Statistical Quality Control Methods:
Introduction - Methods for preparing control charts – Problems using x-bar, p, R charts and attribute
charts.
Text Books:
1. Jay l. Devore, Probability and Statistics for Engineering and the Sciences.8th edition,Cengage.
2. Richards A Johnson, Irvin Miller and Johnson E Freund. Probability and Statistics for
Engineering, 9th Edition,PHI.
Reference Books:
1. Shron L.Myers, Keying Ye, Ronald E Walpole, Probability and Statistics Engineers and the
Scientists,8th Edition, Pearson 2007.
2. William Menden Hall, Robert J. Bever and Barbara Bever, Introduction to probability and
statistics, Cengage learning.2009
3. Sheldon, M. Rosss, Introduction to probability and statistics Engineers and the Scientists,
4th edition, Academic Foundation,2011
4. Johannes Ledolter and Robert V.Hogg, Applied statistics for Engineers and Physical
Scientists, 3rd Edition, Pearson,2010
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COMPLEX VARIABLES
(Common for PE and PCE branches)
Course Objectives:
The aim of this course is to introduce the special functions, their generating functions and the
algebra, geometry and calculus of functions of a complex variable. The emphasis will be on
gaining a geometric understanding of complex analytic functions as well as developing
computational skills in employing the powerful tools of complex analysis for solving theoretical
and applied problems.
Course Outcomes: Upon successful completion of the course, the students should be able to
Discuss continuity and analyticity of various complex valued functions.
Find the Taylor or Laurent series of a given function. Use residue calculations to evaluate certain real
definite integrals.
Explain properties of various types of conformal mappings.
UNIT I: Functions of a complex variable:
Introduction -Continuity – Differentiability – Analyticity – Properties – Cauchy-Riemann equations in
Cartesian and polar coordinates. Harmonic and conjugate harmonic functions – Milne – Thompson
method
Applications: Potential between parallel plates, coaxial cylinders, potential in angular regions
UNIT II: Elementary functions:
Exponential, trigonometric, hyperbolic functions and their properties – General power ZC (c is complex),
principal value.
Applications: Polar plots of sinusoidal transfer function. (Section 7.3 of reference book 5)
UNIT III: Complex integration:
Line integral – Cauchy’s integral theorem – Cauchy’s integral formula – Generalized integral formula Liouville Theorem - Morera’s Theorem
Applications: Circulation along closed curve, conservative fields.
UNIT IV: Power series:
Radius of convergence – Taylor’s series,-Maclaurin’s series -Laurent series- Singular point –Isolated
singular point – pole of order m – essential singularity.
UNIT V: Evaluation of Integrals:
Residue – Residue theorem
application: Types of real integrals:
(a) Improper real integrals



f ( x)dx
(b)

c  2
c
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f (cos ,sin  )d
(c)



eim x f ( x)dx
(d) Integrals by indentation
UNIT VI: Conformal Mapping:
Transformation by exp z, ln z, z2, z n (n positive integer), Sin z, Cos z, z+a/z, Translation, rotation,
inversion and bilinear transformation –fixed point- cross ratio – properties-invariance of circles.
Applications: Mapping theorem (without proof) with application to stability analysis of closed loop
systems, Nyquist stability criterion and its Remarks.( Section 7.5 of reference book 5)
Text Books:
1. B.S.Grewal, Higher Engineering Mathematics, 43rd Edition, Khanna Publishers.
2. R.V. Churchill, James W. Brown and R.F. Verhey, Complex Variables and
Applications, Third Edition.
Reference Books:
1. Erwin Kreyszig, Advanced Engineering Mathematics, 10th Edition, Wiley-India
2. John H Mathews, Russell W. Howell, Complex Analysis for Mathematics and
Engineering, 5th Edition, Jones and Bartlett Publishers, 2006
3. Saff, E.B and A.D Snider, Fundamentals of Complex Analysis, 3rd Edition,
Pearson,2003
4.
Dennis G. Zill and Patrick Shanahan, A First
course in Complex Analysis with Application,
Jones and Bartlett Publishers, 2011
5.
Katsuhiko Ogata, Modern Control Engineering, 5th
Edition, Pearson Publishers
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Remedial Mathematics-I
(Biology stream students)
Course Objectives:
The aim of this course is to introduce basic mathematics required for the biology stream students.
Course Outcomes: Upon successful completion of the course, the students should be able to
Apply basic arithmetic, trigonometric and geometric techniques to pharmacy problems.
UNIT I
Arithmetic Progression – Geometric Progression: Permutations and Combinations – Binomial theorem
partial fractions- Matrices – Determinants - Applications of determinants to solve simultaneous equations
(Cramer’s rule).
UNIT II
Trigonometry: Trigonometric ratios and the relation between them Sin(A+B), Cos (A+B), Tan(A+B)
formulae only. Trigonometric ratios of multiple angles-Heights and distances (simple problems there on).
UNIT III
Co-ordinate Geometry: Distances between points- Areas of triangles, Co-Ordinates of a point dividing a
given segment in a given ratio-Locus-equation to a straight line in different forms-Angle between straight
lines – Point of intersection.
UNIT IV
Differential Calculus: Continuity and limit, Differentiation, derivability and derivative, R.H. derivatives
and L.H. derivatives, differentiation, general theorems of derivation.
UNIT V
Integral calculus: Integration as on inverse process of differentiation, definite integrals, integration by
substitution, integration by parts, integration of algebraic function of E x evolution of area in simple cases.
UNIT VI
Differential equations: Formation of a Differential equation, order and degree, solution of first order
differential equations.
SUGGESTED TEXT BOOKS
1. Intermediate first year mathematics and intermediate second year mathematics, printed and published
by Telugu academy, Himayatnagar, Hyderabad.
2. Pharmaceutical Arithmetic’s by Mohd.Ali CBS publishers and distributor, New Delhi.
3. Remedial Mathematics by Shahnaz Bathul, PHI Learning Private Limited.
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Mathematical Modeling and Simulation
(Open Elective for B. Tech)
UNIT–I:
Mathematical model, types of Mathematical models and properties, procedure of modeling.
UNIT–II:
Graphical Method: Barterning model, Basic optimization, Basic probability: Monte- Carlo simulation.
UNIT – III:
Approaches to differential equation: Heun method, Local stability theory: Bernoulli Trials, Classical and
continuous models, Case studies in problems of engineering and biological sciences.
UNIT – IV:
Pseudo random numbers generations – standard methods.
General techniques for simulating continuous random variables, simulation from normal and gamma
distributions, simulation from discrete probability distributions.
UNIT V:
Simulating a non- homogeneous poisson process and queuing system.
UNIT VI:
Stochastic models-Radioactivity decay-optimal facility location-distribution of particle sizes
Text books:
1. An Introduction to Mathematical Modeling by Edward A. Bender, Dover Publications.
2. Mathematical modeling by J. N. Kapoor, Wiley eastern Limited.
3. System modeling and simulation, by Geoffrey Gardon, Printice Hall of India.
References:
1. Mathematical Models in Applied Sciences by A. C. Fowler, Cambridge University Press.
2. Simulation by S. M. Ross, India Elsevier Publication.
3. Simulation Modeling and Analysis by A. M. Law and W. D. Kelton, T. M. Edition.
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METHODS OF APPLIED MATHEMATICS
(Open Elective for B. Tech)
UNIT-I: Calculus of variations and Applications
Maxima and minima, The simplest case, illustrative examples, Natural boundary conditions, The
variational notation, the more general case, constraints.
UNIT- II: Sturm- Liouville problems:
Sturm- Liouville problems. Eigenvalues and Eigen functions.
UNIT- III: Integral equations:
Introduction, Relation between differential and Integral equations,
UNIT- IV: Green’s function:
The Green’s function, Alternative definition of the green’s function, Linear equations in Cause and
Effect- The influence function.
UNIT- V: Fredholm equations
Fredholm equations with separable kernals- Illustrative examples, Hibert- Schmidt Theory, Iterative
Methods for solving equations of the second kind, The Neumann Series, Fredholm Theory, Singular
integral Equations.
UNIT- VI: Fractional Derivatives and Integrals
Unified Expression of derivatives and integrals - Differintegrals-Other Definitions of Differentintegrals
-Properties of Differintegrals-Different integrals of some functions.
Text Books:
1. Methods of Applied Mathematics by Francis B. Hildebrand, Second Edition, PHI Ltd, New
Delhi.
2. Mathematical Methods in Science and Engineering, S. Selcuk Bayin, Wiley India (for unit VI) .
References:
1. Calculus of Variations, by Gelfand and Fomin, Prntice Hall, Inc
2. Problems and Excercises in Calculus of Variations, by Hrasnov, Mir Publications
3. Linear Integral Equations, by Ram P. Kanwal, Academic Press.
4. Principles of Mathematical Analysis, Walter Rudin, Mac- Graw Hill.
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SPECIAL FUNCTIONS AND COMPLEX VRIABLES
(Open Elective for B. Tech)
Course Objectives:
The aim of this course is to introduce the special functions, their generating functions and the
algebra, geometry and calculus of functions of a complex variable. The emphasis will be on
gaining a geometric understanding of complex analytic functions as well as developing
computational skills in employing the powerful tools of complex analysis for solving theoretical
and applied problems.
Course Outcomes: Upon successful completion of the course, the students should be able to
Compute improper integrals using beta and gamma functions. Explain the properties of the
Legendre’s polynomial.
Explain various properties of the Bessel’s function.
Discuss continuity and analyticity of various complex valued functions.
Find the Taylor or Laurent series of a given function. Use residue calculations to evaluate certain
real definite integrals.
Explain properties of various types of conformal mappings.
UNIT – I
Bessel functions – properties – Recurrence relations – Orthogonality. Legendre polynomials – Properties
– Rodrigue’s formula – Recurrence relations – Orthogonality.
UNIT-II
Functions of a complex variable – Continuity – Differentiability – Analyticity – Properties – CauchyRiemann equations in Cartesian and polar coordinates. Harmonic and conjugate harmonic functions –
Milne – Thompson method.
UNIT-III
Complex integration: Line integral – evaluation along a path and by indefinite integration – Cauchy’s
integral theorem – Cauchy’s integral formula – Generalized integral formula.
UNIT-IV
Complex power series: Radius of convergence – Expansion in Taylor’s series, Maclaurin’s series and
Laurent series. Singular point –Isolated singular point – pole of order m – essential singularity.
UNIT-V
Residue – Evaluation of residue by formula and by Laurent series - Residue theorem.
Evaluation of integrals of the type
(a) Improper real integrals
(c)



e imx f ( x)dx



f ( x)dx
(b)

c  2
c
f (cos  , sin  )d
(d) Integrals by identation.
UNIT-VI
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Conformal mapping: Transformation by e z , lnz, z2, z n (n positive integer), Sin z, cos z, z + a/z.
Translation, rotation, inversion and bilinear transformation – fixed point – cross ratio – properties –
invariance of circles and cross ratio – determination of bilinear transformation mapping 3 given points .
Text book
1. A text Book of Engineering Mathematics, Shahnaz Bathul, Prentice Hall of India.
2. A text Book of Engineering Mathematics, Vol-1 T. K. V. Iyengar, B. Krishna Gandhi and
Others, S. Chand & Company.
Reference
1. A text Book of Engineering Mathematics, B. V. Ramana, Tata Mc Graw Hill.
2. Advanced Engineering Mathematics, Irvin Kreyszig, Wiley India Pvt. Ltd.
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