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BITM Basic Mathematics

bitmsemester 1

Basic Mathematics

Subject Code: MTH 103

Course Title: Basic Mathematics

Course No: MTH 103

Nature of Course: Theory & Practical

Full Marks: 60

Pass Marks: 30

Credit Hours: 3

Course Description

Numbers and their properties. Introduction to complex numbers, Concepts of Functions, Limits, and Continuity. Differentiation and Its Application in business and economics. Concepts of integration and its application. Differential Equations. Concept of vectors and matrices. Method of least squares.

Course Objective

The purpose of this basic mathematics course is to increase students' mathematical knowledge and skills required to understand management, IT, and computing courses as they apply to many aspects of business and to help make them more valuable players in the business arena.

Course Contents

Course Contents Teaching Methodology Teaching Hours
Unit 1: Set Theory and Real Number System (6 Hrs.)
Concept, notation and specification of sets Lecture
Types of sets
Relation between sets
Venn diagrams
Operations on sets
Laws of algebra of sets (without proof)
Number of elements in a set and the problems relating up to three sets
Sets of numbers (Natural numbers, Integers, Rational numbers, Irrational numbers, Real numbers)
Representation of real numbers on the real line
Properties (addition multiplication, cancellation, distributive, order) of real numbers (without proof)
Inequalities and their properties
Intervals
Modulus of a real number and its properties
Unit 2: Complex Numbers (4 Hrs.)
Definition of a complex number Lecture
Integral powers of i
Algebra of complex numbers (sum, difference, multiplication, division)
Properties of complex numbers
Conjugate of a complex number and its properties
Modulus of a complex number and its properties
Representation of a complex number by a point in a plane (Argand's diagram)
Polar representation of a complex number
Square roots of a complex number
De-Moivre's theorem (statement only) and its application to find up to cube roots of a complex number
Unit 3: Functions, Limits and Continuity (6 Hrs.)
Constant and variable Lecture
Concept of functions
Types of functions
Graphic representation of algebraic, logarithmic and exponential functions
Computation of functional values
Domain and range of a function
Application of functions to business and economics
Idea of a limit
Limit of a function at a particular point and at infinity
Properties of limits (without proof) and use in evaluating limits involving algebraic functions
Concept of continuity and discontinuity
Test of continuity and discontinuity for simple algebraic functions
Unit 4: Differentiation and Its Application (8 Hrs.)
Average rate of change Lecture
Definition of derivative
Derivative as a slope of tangent to the curve
Differentiation by the first principle of algebraic, logarithmic and exponential functions
Methods of differentiation (power rule, sum rule, product rule, quotient rule chain rule)
Differentiation of implicit and parametric functions
Increasing and decreasing function
Stationary point
Point of inflection
Higher order derivatives (up to 3rd order)
Economic applications of derivatives for maximum and minimum points
Unit 5: Integration and Its Application (6 Hrs.)
Concept of integration Lecture
Techniques of integration (Standard forms, Substitution method, Integration by parts)
Integration of algebraic, logarithmic, and exponential functions
Definite integral
Methods of evaluating definite integrals
Area under a curve
Application of integration in business and economics (including consumer's surplus and producer's surplus)
Unit 6: Differential Equations (5 Hrs.)
Introduction to differential equations Lecture
Order and degree of a differential equation
Solution of a differential equation
General and particular solutions
Equations of the first order and first degree: variables separated from, homogeneous equations, linear equations (without involving trigonometric functions)
Unit 7: Vectors (5 Hrs.)
Definition of a vector in a plane and space Lecture
Directed line segment
Magnitude of a vector
Types of vectors
Multiplication of a vector by a scalar
Addition of vectors
Parallelogram law of addition of vectors
Collinear and coplanar vectors
Linearly dependent and independent vectors
Scalar product of two vectors
Orthogonal vectors
Vector product of two vectors
Numerical Exercises
Unit 8: Matrices and Determinants (6 Hrs.)
Introduction of matrices Lecture
Types of matrices
Equality of matrices
Algebra of matrices
Transpose of a matrix
Determinant of a Square matrix
Minors and cofactors of matrix
Singular and non-singular matrix
Adjoint and inverse of matrices
Solution of a system of linear equations up to three variables (Cramer's rule, Inverse matrix method, Gaussian elimination method)
Unit 9: Least Square Method (2 Hrs.)
Introduction to the least square method Lecture
Line of best fit (two variables only)
Measurement of trends
Method of least square for time series analysis

Text Books

1. Bradley, T. (2013). Essential mathematics for economics and business (4th ed.). Wiley.
2. Brechner, R. (2008). Contemporary mathematics for business and consumers. Thomson South-Western.
3. Dowling, E. T. (2009). Schaum's outline of mathematical methods for business and economics. McGraw-Hill.
4. Martin, A., & Biggs, N. (2000). Mathematics for economics and finance: Methods and modelling. Cambridge University Press.
5. Rosser, M., & Lis, P. (2016). Basic mathematics for economists (3rd ed.). Routledge.
6. Thomas, G. B., & Finney, R. L. (1996). Calculus with analytic geometry (9th ed.). Addison-Wesley.
7. Wegner, T. (2010). Applied statistics: Methods and Excel-based application. Juta Academic.
8. Yamane, T. (1973). Mathematics for economics: An elementary survey (2nd ed.). Prentice-Hall.