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COURSE PRO FORMA


             IMPORTANT:
             Contents of this Pro Forma shall not be changed without the Senate’s approval for items indicated with *. Changes
             to the other items can be approved at the Academy/Faculty/Institution/Centre level.

                                         Code  KXEX1145

                                         Title  Basic Engineering Algebra
                                  Pre-requisite  None

                   Student Learning Time (SLT)  80 hours

                                        Credit  2
                           Learning Outcomes  1. Use De Moivre Theorem and Euler Formula to determine the
                                                     power and roots of complex numbers.
                                                2. Explain the concepts of matrices, determinants, ranks, eigen
                                                     values and eigen vectors.
                                                3. Solve systems of line equations and diagonalize square matrices.
                                                4. Use the dot product, cross product and triple products of
                                                     vectors to determine the parametric equations and vector
                                                     equations of lines and planes.
                                     Synopsis  Complex  numbers:  Addition,  substraction,  multiplication  and  division.
                                                Complex numbers in polar form. Complex numbers in exponent form. De
                                                Moivre Theorem. Power and roots of complex number. Euler Formula.
                                                Matrices:  Diagonal,  symmetric,  skew  symmetric,  orthogonal,  Hermitian
                                                skew, Hermitian and unit matrix. Transpose. Determinant. Minor, cofactor
                                                and adjoint. Singular and non-singular matrices. Inverse of matrix. Linearly
                                                dependent  and  linearly  independent  vectors.  Rank  of  a  matrix.
                                                Homogenous and non-homogenous system of linear equations.  Existence
                                                of  solutions  and  their  properties.  Gaussian  Elimination  method.  Cramers
                                                Rule.  Eigen  values  and  eigen  vectors.  Diagonalization.  Cayley-Hamilton
                                                Theorem.
                                                Vector Algebra: Cartesian Vector in two and three dimension systems. Dot
                                                and  cross  product.  Parametric  Equations  and  Vector  Equations  of  lines.
                                                Skew Lines. Equations of planes. Distance between a point and a plane.
                                                Distance between two planes. Angle between two intersecting lines.
                                  Assessment  40% Continuous Assessments
                                                60% Final Examination
                                                                               th
                                   References  Modern Engineering Mathematics, (4  edition), Glyn James (Edison-
                                                   Wesley), 2007
                                                                                    nd
                                                Theory and Problems of Vector Analysis, (2  edition), Murray R. Spiegel
                                                   (Schaum's series) 2008
                                                                        th
                                                Engineering Mathematics, (5  edition), K. A. Stroud and D. J. Booth
                                                   (Palgrave), 2007
                                                                               rd
                                                Further Engineering Mathematics, (3  edition), K. A. Stroud (MacMillan)
                                                   1992
                                    Soft skills  Communication Skills (CS1, CS2, CS3)
                                                Critical Thinking and Problem Solving Skills (CT1, CT2, CT3)
                                                Team work Skills (TS1,TS2)
                                                Life Long Learning and Information Management (LL1, LL2)
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