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 integrals- Vector integral theorems: Greens, Stokes and Gauss Divergence theorems (without proof) and related problems.
Applications: Work done, Force.
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.
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 – Newton-Raphson 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.
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.
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 trajectories- Electrical circuits- Chemical reactions.
Linear differential equations of higher order:
Non-homogeneous equations of higher order with constant coefficients with RHS term of the type eax, 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 .
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.
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.
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 means- Proportions 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.
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
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 (b)
(c) (d) Integrals by indentation
UNIT VI: Conformal Mapping:
Transformation by exp z, ln z, z2, (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
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 evolution of area in simple cases.