Course Catalogue

Course Code: MAT 201
Course Name:
Differential Equation and Numerical Analysis
Prerequisite:
Credit Hours:
3.00
Detailed Syllabus:

Differential Equations:
Basic Definitions and Terminology: differential equation (de), classifications of de, formation and solution of a de and further terminology, Ordinary de (ode), des of the first order and first degree: variable separable, homogeneous equations, exact equations, linear equations, Linear Equations with constant coefficients: linear and nonlinear de, solution of linear de, 2nd order des, 2nd and higher order homogeneous des, Method of Variation of Parameter; Method of undetermined coefficients; System of Linear de: operator method matrices and system of linear first order equations, homogeneous linear systems, undetermined coefficients, variation of parameters, Solution by Series.

Numerical Analysis:
Errors in Numerical Calculations: numbers and their accuracy, errors and their computation, a general error formula, error in a series approximation, Solution of Algebraic and Transcendental Equations: bisection, iteration, false position, Newton-Raphson methods, Interpolation: finite difference, forward, backward and central differences, Newton’s formula for interpolation, Stirlings formula, Lagrange’s interpolation formula, divided differences and their properties, Numerical Differentiation and Integration, Matrices and Linear Systems of Equations, Numerical Solution of Ordinary Differential Equations.

Course Code: MAT 201
Course Name:
Math-III (Differential Equations and Numerical Analysis)
Credit Hours:
3.00
Detailed Syllabus:

Ordinary Differential Equations: Degree and order of ordinary differential equations, formation of differential equations. Solution of first order differential equations by various methods. Solution of general linear equations of second and higher orders with constant coefficients. Solution of homogeneous linear equations. Solution of differential equations of the higher order when the dependent or independent variables are absent. Solution of differential equation by the method based on the factorization of the operators. Frobenius method. Partial Differential Equations: Introduction. Linear and non-linear first order equations. Standard forms. Linear equations of higher order. Equations of the second order with variable coefficients. Wave equations. Particular solution with boundary and initial conditions.

Course Code: MAT 201
Course Name:
Differential Equation and Numerical Analysis
Credit Hours:
3.00
Detailed Syllabus:

Differential Equations:
Basic Definitions and Terminology: differential equation (de), classifications of de, formation and solution of a de and further terminology, Ordinary de (ode), des of the first order and first degree: variable separable, homogeneous equations, exact equations, linear equations, Linear Equations with constant coefficients: linear and nonlinear de, solution of linear de, 2nd order des, 2nd and higher order homogeneous des, Method of Variation of Parameter; Method of undetermined coefficients; System of Linear de: operator method matrices and system of linear first order equations, homogeneous linear systems, undetermined coefficients, variation of parameters, Solution by Series.

Numerical Analysis:
Errors in Numerical Calculations: numbers and their accuracy, errors and their computation, a general error formula, error in a series approximation, Solution of Algebraic and Transcendental Equations: bisection, iteration, false position, Newton-Raphson methods, Interpolation: finite difference, forward, backward and central differences, Newton’s formula for interpolation, Stirlings formula, Lagrange’s interpolation formula, divided differences and their properties, Numerical Differentiation and Integration, Matrices and Linear Systems of Equations, Numerical Solution of Ordinary Differential Equations.

Course Code: MAT 203
Course Name:
Mathematical Methods
Prerequisite:
Credit Hours:
3.00
Detailed Syllabus:

Laplace Transformations:
Laplace Transformation (LT), Inverse Laplace Transforms (ILT), Applications of LT to de, Complex Variable Theory: complex number system, polar form of complex numbers, operations in polar form, De Moivre’s theorem, roots of complex numbers, functions, limit, continuity, derivatives, Cauchy-Riemann equations, line integral formulas, Green’s theorem in the plane, Integrals, Cauchy’s theorem, Cauchy’s integral formulas, Taylor’s series, Singular points, Poles, Laurent’s series, residues, residues theorem, evaluation of definite integrals, Convergency and Divergency of infinite series: general properties of series, test of convergence and divergence of the series of constants, power series, uniform convergence, Cauchy criterion for uniform convergence. Power series solution of de: analytic and singular functions, ordinary and singular points of a differential equation, Solution in series of the de.

Fourier Analysis:
Beta and Gamma functions, Fourier series and Applications: Periodic functions and Trigonometric series, Definition of Fourier Series, Dirichlet conditions, Fourier sine and cosine series, Half-Range Fourier Sine and Cosine series, Perseval’s Identity, Integration and differentiation of Fourier series, Complex notation for fourier series, Some physical applications of fourier series, Fourier Integrals and Applications: Fourier integral, Fourier transforms, Fourier sine and cosine transforms, Persival’s Identities for Fourier Integrals, Convolution theorem for Fourier transforms, Applications of Fourier Integrals and transforms, Special functions: Legendere’s de and Legendere’s polynomials, Bessel’s de and Bessel functions, Hermite’s de and Hermit’s polynomials, Laguerre’s DE and Laguerre’s polynomials.

Course Code: MAT 203
Course Name:
Math-IV (Complex Variable and Mathematical Methods)
Credit Hours:
3.00
Detailed Syllabus:

Complex Variable: De-Moiver’s theorem & its application, Functions of a complex variable, Limit, Continuity & Differentiability of a function of complex variable, Analytic functions, Cauchy-Riemann equations, Cauchy’s theorem, Singularity & poles, Residues, Simple contour integration. Vector Analysis: Vector components, Vector components in spherical and cylindrical system, Derivative of vector, Vector operators, Del, Gradient, Divergence and Curl. Their physical significance, Vector integration, Line, Surface and Volume integration, Green’s and Stoke’s theorem and their applications. Laplace Transformation: Definition of Laplace transform (LT), LT of different functions, First Shift theorem, Inverse transform, Linearity, Use of first shift theorem and Partial functions, Transform of derivative, Transform of an integral, Heaviside unit function, The 2nd shift theorem, Periodic functions, Convolutions, Solution of ordinary differential equation by Laplace transform. Fourier Analysis: Real and Complex form, Finite transform, Fourier integral, Fourier series and convergence of Fourier series, Fourier transform and uses in solving boundary value problem.

Course Code: MAT 203
Course Name:
Math-III (Mathematical Methods)
Credit Hours:
3.00
Detailed Syllabus:

Laplace Transformations:
Laplace Transformation (LT), Inverse Laplace Transforms (ILT), Applications of LT to de, Complex Variable Theory: complex number system, polar form of complex numbers, operations in polar form, De Moivre’s theorem, roots of complex numbers, functions, limit, continuity, derivatives, Cauchy-Riemann equations, line integral formulas, Green’s theorem in the plane, Integrals, Cauchy’s theorem, Cauchy’s integral formulas, Taylor’s series, Singular points, Poles, Laurent’s series, residues, residues theorem, evaluation of definite integrals, Convergency and Divergency of infinite series: general properties of series, test of convergence and divergence of the series of constants, power series, uniform convergence, Cauchy criterion for uniform convergence. Power series solution of de: analytic and singular functions, ordinary and singular points of a differential equation, Solution in series of the de.

Fourier Analysis:
Beta and Gamma functions, Fourier series and Applications: Periodic functions and Trigonometric series, Definition of Fourier Series, Dirichlet conditions, Fourier sine and cosine series, Half-Range Fourier Sine and Cosine series, Perseval’s Identity, Integration and differentiation of Fourier series, Complex notation for fourier series, Some physical applications of fourier series, Fourier Integrals and Applications: Fourier integral, Fourier transforms, Fourier sine and cosine transforms, Persival’s Identities for Fourier Integrals, Convolution theorem for Fourier transforms, Applications of Fourier Integrals and transforms, Special functions: Legendere’s de and Legendere’s polynomials, Bessel’s de and Bessel functions, Hermite’s de and Hermit’s polynomials, Laguerre’s DE and Laguerre’s polynomials.

Course Code: MAT 205
Course Name:
Math-IV (Discrete Mathematics and Numerical Analysis)
Credit Hours:
3.00
Detailed Syllabus:

Discrete Mathematics: Mathematical logic: propositional calculus, predicate calculus. Permutations, Combinations and Discrete Probability. Set theory: sets, relations, partial ordered sets, functions. Graph theory: graphs, paths, trees. Recurrence Relations and Recursive Algorithms. Algebraic structures: binary operations, semi groups, groups, permutation groups, rings and fields, lattices. Numerical Methods: Solutions of polynomials and transcendental equations, Interpolation and polynomial approximation, Least square approximation, Solutions of systems of linear equations, Gauss elimination technique, Gauss-Siedel iteration technique, Numerical differentiation and integration.

Course Code: MAT 2101
Course Name:
Differential Equation and Numerical Analysis
Credit Hours:
3.00
Detailed Syllabus:

Basic Definitions and Terminology: differential equation (de), classifications of de, formation and solution of a de and further terminology, Ordinary de (ode), des of the first order and first degree: variable separable, homogeneous equations, exact equations, linear equations, Linear Equations with constant coefficients: linear and nonlinear de, solution of linear de, 2nd order des, 2nd and higher order homogeneous des, Method of Variation of Parameter; Method of undetermined coefficients; System of Linear de: operator method matrices and system of linear first order equations, homogeneous linear systems, undetermined coefficients, variation of parameters, Solution by Series. Errors in Numerical Calculations: numbers and their accuracy, errors and their computation, a general error formula, error in a series approximation, Solution of Algebraic and Transcendental Equations: bisection, iteration, false position, Newton-Raphson methods, Interpolation: finite difference, forward, backward and central differences, Newton's formula for interpolation, Stirlings formula, Lagrange's interpolation formula, divided differences and their properties, Numerical Differentiation and Integration, Matrices and Linear Systems of Equations, Numerical Solution of Ordinary Differential Equations.

Course Code: MBA 098
Course Name:
Basic English
Credit Hours:
0.00
Detailed Syllabus:

This course is designed to improve language in their personal career development. It mainly focuses on the skills of reading, writing, listening and speaking. Instruction is designed to assist students in developing comprehension, critical thinking skills, fluency in their expression and communication of ideas. It includes a basic rhetoric and compelling readings and gives full attention to grammar, punctuation, pronunciation, mechanics and usage.

Course Code: MBA 099
Course Name:
Basic Math
Credit Hours:
0.00
Detailed Syllabus:

This course is designed to provide a review of high school and college mathematics & statistics that will help students to develop their analytical ability. The goal of the course is to help students brush up their math skills. In this course, students will be exposed to equation-solving techniques, logarithm & exponential functions, the mathematics of finance & economics, introductory statistical concepts. The knowledge and skills that a student will acquire in this class will lay foundation for advanced quantitative courses and in their future business career.

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