Course & Program Outcomes

Program Outcomes: 

Mathematics is a vast subject that plays a crucial role in many fields, such as science, engineering, finance, economics, etc. The program outcomes of mathematics can vary depending on the level and scope of the program, but generally, the following are the common learning objectives and outcomes:

• Understanding of mathematical concepts and terminology: Students should be able to understand and use mathematical concepts and terminology, such as algebra, calculus, geometry, statistics, etc.

• Ability to solve mathematical problems: Students should be able to use mathematical techniques and strategies to solve problems in various fields.

• Ability to analyze mathematical data: Students should be able to analyze and interpret mathematical data using various mathematical tools and techniques.

• Ability to apply mathematics to real-world problems: Students should be able to apply mathematical knowledge and skills to solve real-world problems in various fields.

• Understanding of mathematical modeling: Students should be able to create mathematical models to represent real-world phenomena and use them to make predictions and solve problems.

• Understanding of mathematical proofs: Students should be able to understand and construct mathematical proofs to justify mathematical statements and theorems.

• Ability to communicate mathematical ideas: Students should be able to communicate mathematical ideas and solutions effectively in written and oral forms.

• Knowledge of advanced mathematical topics: Students should have knowledge of advanced mathematical topics such as topology, abstract algebra, real analysis, etc., depending on the scope of the program.

• Ability to use mathematical software: Students should be able to use mathematical software, such as Mathematica, MATLAB, and R, to perform mathematical computations and solve problems.

Overall, the program outcomes of mathematics provide students with a strong foundation in mathematical knowledge and skills that can be applied to various fields and prepare them for further studies and careers in mathematics-related fields. 

Course Outcomes 

Differential calculus, (Core Course) (MATH 101)

On Completion of this course the students will be able to:

• Explain the relationship between the derivative of a function as a function and the notion of the derivative as the slope of the tangent line to a function at a point.

• Compare and contrast the ideas of continuity and differentiability.

• To inculcate to solve algebraic equations and inequalities involving the sequence root and modulus function.

• To able to calculate limits in inderminate forms by a repeated use of L’ Hospital rule.

• To find the roots of algebraic and transcendental equations by using Rolls theorem and Mean value theorem and also solve the Taylor's series and Maclarian series.

• To find maxima and minima, critical points and inflection points of functions of several variables and to determine the concavity and convexity, radius of curvature of curves.

• To able to evaluate integrals of rational functions by partial fractions and also Jacobian of functions.

Differential Equations, (Core Course) (MATH 102)

On successful completion of the course, Students will be able to:

• The main aim of the course is to introduce the students to the technique of solving various problems of engineering and science

• Distinguish between linear, nonlinear, partial and ordinary differential equations.

• Solve basic application problems described by second order linear differential equations with constant coefficients and also with variable coefficient.

• Find the solutions of first order first degree differential equations, wronskian and its properties.

• Find the transforms of derivatives and integrals.

• Obtain the solution by Variation of parameters method, Cauchy- Euler equation and Legendre differential equations.

• Find the solutions of simultaneous differential equations and Total differential equations.

• To find the solutions of partial differential equations, Linear partial differential equation of first order, Lagrange’s method. Classification of second order partial differential equations into elliptical, parabolic and hyperbolic.

Real Analysis, (Core Course) (MATH 201TH)

After completing the course students are expected to be able to:

• Describe the basic difference between the rational and real numbers. Give the definition of concepts related to metric spaces such as countability, compactness, convergent etc.

• Give the essence of the proof of Bolzanoweistrass theorem the contraction theorem as well as existence of convergent subsequence using Cauchy ‘s Criteria.

• Evaluate the limits of wide class of real sequences.

• Determine whether or not real series are convergent by comparisontest,p- test, root test and ratio test. We can also discuss the convergence of alternating series by using Leibnitzrule.

• To find solutions of sequences and series of functions. We can understand the concept of pointwise, and uniform convergence with the help of Mn -test and M test. Results about uniform convergence, power series and radius of convergence.

• Students will be able to demonstrate basic knowledge of key topics in classical real analysis.

• The course pervious the basic for further studies with in function analysis, topology & function Theory.

Algebra, (Core Course) (MATH 202TH)

On successful completion of the course, students will be able to:

• Students will be able to understand definition of group, abelian and non-abelian groups, the groups of integers under addition modulo n and the group U(n), Cyclic group, Normal subgroups, quotient groups.

• Understand group homomorphism.

• Understand basic theory of Rings, Commutative and Non-Commutative rings, Polynomial rings, rings of matrices, subring, Ideals, Integral domain and fields in detail.

Integral Calculus, (SEC-1) (MATH 309TH)

On successful completion of the course:

• This course will provide understanding of integration by partial fraction, integration of rational and irrational functions, properties of definite integrals, reduction formulae. Areas and lengths of curves in the plane, volumes and surfaces of solids of revolution, Cartesian and parametric forms. Double and triple integrals.

Vector Calculus, SEC-2 (MATH 310TH)

On successful completion of the course, students will be able to:

• Vector calculus motivates the study of vector differentiation and integration in two and three dimensional spaces.

• It helps to understand the students about Scalar and vector product of three and product of four vectors. Reciprocal vectors. Vector differentiation, scalar point function and vector point function. Derivative along a curve, directional derivatives.

• To understand the concept of orthogonal curvilinear coordinates. Gradient, Divergence, Curl and Laplacian operator in terms of orthogonal curvilinear coordinates system.

• To understand the concept of vector integration: line integral, surface integral, volume integral. Theorem of Gauss, Green and Stokes and its applications.

• It is widely accepted as a prerequisite in various fields of science and engineering.

• It offers important tools for understanding functions (both real & complex) non-Euclidean geometry and topology.

• These tools are employed successfully in different branches of engineering and physics (such as electromagnetic fields, fluid flow and gravitational fields).

Linear Algebra, DSE-1A (MATH 303TH)

On Completion of this course the students will be able to Understand:

• Vector space, subspace sum and Direct sum of subspaces, Linear dependent, Linear independent subset of a vector space, spanning set and basis of a vector space.

• The homomorphism and isomorphism of a vector space also they can understand the concept of Linear transformation and it's matrix representation. Null space and range space of Linear transformation, rank and nullity with its applications.

• The algebra of Linear transformations minimal polynomials of Linear transformation and singular and non-singular transformations.

• The inner product space, Cauchy- Schwartz inequality. Orthogonal basis and orthonormal sets. Bessel’s inequality for finite dimensional vector space. Gram-Schmidt orthogonalization process.

Numerical Methods, DSE-1B (MATH 304TH)

On successful completion of the course, students will be able to:

• Solve an algebraic or transcendental equation using Bisection method, False position method, Fixed point iteration method, Newton’s method, Secant method, LU- decomposition method.

• Solve a linear system of equations using Gauss- Jacobi, Gauss- Siedel and SOR iterative methods.Understand the concept of interpolation by using Lagrange and Newton interpolation method.

• Find the concept of Finite difference operators , numerical differentiation by using Newton forward and backward difference method, Sterling's difference method.

• Calculate a definite integral using Trapezoidal rule, Simpson's rule, Euler method.These appropriate methods areusedtoCode in modern computer language.

Complex Analysis (MATH 305TH)

The main aim of the course is to introduce the students:

• Technique of solving various problems of engineering and science

• Limits, limits involving the point at infinity continuity, properties of complex numbers, region in a complex plane functions of complex variables and their mapping. Cauchy- Reimann equations.

• The analytic functions, examples of analytic function derivatives and integrals of analytic function.

• Understand the concept of contours integration and Cauchy integral formula.

• Liouville's theorem and the fundamental theorem of algebra. Convergence of series, Taylor series and Laurent series.

Probability & Statistics, SEC-3 (MATH 313TH)

On successful completion of the course, students will be able to:

• Understand basic theoretical and applied principles of statistics needed to enter the job force.

• They will have a better informative view on sample space, probability axioms, cumulative distribution functions, probability density function, mathematical expectations, moments, moment generating functions, Binomial, Poisson, continuous distribution. Joint cumulative distribution function & its properties, joint probability density functions, marginal and conditional distributions, expectation of function of two random variables.

Transportation & Game Theory, SEC-4 (MATH 317TH)

On successful completion of the course, students will be able to:

• The game theory provides powerful tools for analysing transport systems and making decisions in situations. The students will be able to thoroughly grasp the topics like transportation problem and its mathematical formulation, optimal solution, Hungarian method for solving assignment problem. In game theory, solving 2-person zero sum games, games with mixed strategies, graphical solution.