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3   Communication Skills, Pushplata, Sanjay Kumar, Oxford University Press
                4   Practical English Usage. Michael Swan. OUP. 1995.
                5   Remedial English Grammar. F.T. Wood. Macmillan.2007
                6   On Writing Well. William Zinsser. Harper Resource Book. 2001
                7   Study Writing. Liz Hamp-Lyons and Ben Heasly. Cambridge University Press. 2006.
                8   Exercises in Spoken English. Parts. I-III. CIEFL, Hyderabad. Oxford University Press


               Subject Code                          Subject Name                          Category   L  T  P  C
               MA19152               LINEAR ALGEBRA AND APPLIED CALCULUS                      BS      3  1  0  4
                                 Common to I sem. B.E.- Computer Science and Engineering
                                  ,Biomedical Engineering, Electronics and Communication
                                    Engineering & Electrical and Electronics Engineering
                                                         and
                                            B.Tech. – Information Technology

               Objectives:
                   To gain knowledge in using matrix algebra techniques and the concepts of basis and dimension in vector spaces.
                   To understand the techniques of calculus which are applied in the Engineering problems.

               UNIT-I     MATRICES                                                                         12
               Symmetric    and  skew  –  symmetric   matrices  ,  orthogonal matrices  –  Eigen  values and Eigen  vectors  -  Cayley  –
               Hamilton theorem (without proof) and applications   -  orthogonal transformation and quadratic forms to canonical
               forms - Nature of quadratic forms.
               UNIT-II    VECTOR SPACES                                                                    12
               Vector space – Linear dependence and independence of vectors, bases, dimensions - range and kernel of a linear map,
               rank  and nullity    –  matrix  of  Linear  transformation  -  inverse  of  a  linear  transformation    -  rank nullity  theorem  –
               composition of Linear maps – Matrix Associated with Linear Map - inner products and norms – Gram – Schmidt
               orthogonalisation.
               UNIT-III   DIFFERENTIAL  CALCULUS AND APPLICATIONS                                          12
               Curvature in Cartesian co-ordinates – Centre and radius of curvature – Circle of curvature – Evolutes and Envelopes -
               Partial derivatives: Definitions and Simple problems - Jacobian and properties – Taylor’s series for functions of two
               variables – Lagrange’s method of undetermined multipliers.
               UNIT-IV    APPLICATION  OF  INTEGRATION  AND  IMPROPER   INTEGRALS                          12
               Evaluation  of  area,  surface  area  and  volume  of  revolution  -  Centre  of  Gravity  –  Moment  of  inertia  –  Improper
               integrals: Beta and Gamma integrals and their properties .
               UNIT-V     MULTIPLE INTEGRAL                                                                12
               Double integrals – Change of order of integration – Double integrals in polar coordinates – Area enclosed by plane
               curves – Triple integrals – Volume of solids – Change of variables in double and triple integrals.
                                                                                   Total Contact Hours   :   60

               Course Outcomes:
               On completion of the course students will be able to
                   Apply the concept of Eigenvalues and eigenvectors, diagonalization of a matrix for solving problems.
                   Use concepts of basis and dimension in vector spaces in solving problems and to construct orthonormal basis
                
                   using inner products.
                   Analyze,  sketch  and  study  the  properties  of  different  curves  and to  handle  functions  of  several  variables  and
                
                   problems of maxima and minima.
                   Apply the techniques of Integration in Engineering problems.
                   Evaluate surface area and volume using multiple integrals.
               Text Books:
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