MTH 103

Basic Mathematics

TU BITM / BIM · Semester 1 · BIM curriculum effective from 2021

Requirement
required
Credits
3
Past papers
2 papers

Syllabus

What this course covers and how the teaching time is divided.

Basic Mathematics Syllabus

Official TU PDF

Tribhuvan University

Faculty of Management

Office of the Dean

Bachelor of Information Technology Management (BITM / BIM) (BITM / BIM)

Course Title: Basic Mathematics

Course Code: MTH 103

Semester: Semester 1

Nature of Course: required

Full Marks: 100

Pass Marks: 50

Credit Hours: 3 Cr.

Curriculum: BIM curriculum effective from 2021

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 mat rices. 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:

Lecture hours show the approximate classroom time allocated to each unit.

Unit 1. Set Theory and Real Number System

6 hours
  • Concept, notation and specification of sets, 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 o f 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.
  • Learning Outcomes: Define and classify different types of sets and numbers. (Remember)
  • Illustrate relationships among sets using Venn diagrams and perform set operations.
  • (Understand)
  • Apply the laws of algebra of sets and properties of real numbers to solve quantitative problems . (Apply)
  • Analyze real number inequalities and represent them on the number line. (Analyze)

Unit 2. Complex Numbers

4 hours
  • Definition of a complex number, 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.
  • Learning Outcomes: Recall the definition, notation, and algebraic operations of complex numbers (Remember)
  • Illustrate complex numbers geometrically on the Argand plane and interpret their modulus and argument (Understand)
  • Apply De Moivre’s theorem to compute powers and roots of complex numbers(Apply)
  • Analyze and compare different forms (algebraic, polar) of complex numbers for problem solving (Analyze).

Unit 3. Functions, Limits and Continuity

6 hours
  • Constant and variable, Concept of functions, Types of functions, Graphic representation of algebraic, logarithmic and exponential functions, Computation of functional v alues, 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 fun ctions. Concept of continuity and discontinuity, Test of continuity and discontinuity for simple algebraic functions.
  • Learning Outcomes: Define functions, limits, and continuity, and distinguish different types of functions (Remember/Understand)
  • Represent and interpret functions graphically and identify domain and range. (Understand)
  • L imit properties to evaluate limits of algebraic and exponential functions. (Apply)
  • Test the continuity and discontinuity of simple algebraic functions. (Analyze).

Unit 4. Differentiation and Its Application

8 hours
  • Average rate of change, 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 diffe rentiation (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.
  • Learning Outcomes: Explain the concept of derivative as a rate of change and slope of tangent (Understand)Apply standard differentiation rules (power, product, quotient, chain) to algebraic and e xponential functions (Apply)
  • Analyze functions to determine increasing/decreasing intervals, stationary points, and points of inflection (Analyze)
  • Apply differentiation techniques to solve business and economic optimization problems. (Apply/Evaluate).

Unit 5. Integration and Its Application

6 hours
  • Concept of integration, 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).
  • Learning Outcomes: Explain the concept of integration as the reverse process of differentiation (Understand)
  • Apply different integration techniques (substitution, parts, standard forms) to solve mathematical problems. (Apply)
  • Evaluate definite integrals and determine the area under curves (A pply/Analyze)
  • Apply integration in business and economics to calculate consumer’s and producer’s surplus (Apply/Evaluate).

Unit 6. Differential Equations

5 hours
  • Introduction to differential equations, Order and degree of a differential equation, Solution of a differential equation, General and particular solutions. Equations of the first order and first degree: a) variables separated from b) homogeneous equations , c) line ar equations (without involving trigonometric functions).
  • Learning Outcomes: Define differential equations and classify them according to order and degree (Remember/Understand)
  • Solve first -order, first -degree differential equations using separation, homogeneous, and linear methods (Apply)
  • Analyze the relationship between general and particular solutions in applied contexts (Analyze).

Unit 7. Vectors

5 hours
  • Definition of a vector in a plane and space, 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 Learning Outcomes: Define and describe different types of vectors and their properties.
  • (Remember/Understand)
  • Apply vector algebra (addition, scalar, and vector products) to solve geometric and physical problems (Apply)
  • Analyze linear dependence and independence of vectors in a plane or space (Analyze)
  • Evaluate orthogonality and magnitude relationships among vectors (Evaluate).

Unit 8. Matrices and Determinants

6 hours
  • Introduction of matrices, 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. Solutio n of a system of linear equations up to three variables (Cramer’s rule, Inverse matrix method, Gaussian elimination method).
  • Learning Outcomes: Define types and properties of matrices and determinants (Remember/Understand)
  • Apply matrix algebra and determinant operations to solve numerical problems (Apply)
  • Evaluate inverse and adjoint matrices and use them to solve systems of linear equations (Apply/Evaluate)
  • Analyze alternative methods (Cramer’s rule, Gaussian elimination) for solving simultaneous equations (Analyze/Evaluate).

Unit 9. Least Square Method

2 hours
  • Introduction to the least square method, Line of best fit (two variables only) , Measurement of trends, Method of least square for time series analysis.
  • Learning Outcomes: Explain the concept and purpose of the least square method (Understand)
  • Apply the least square method to find the line of best fit for two variables (Apply)
  • Analyze time series data to measure trends using least square techniques (Analyze).
  • Pedagogical Strategies Lectures with real-world examples from technology-led business sector contexts
  • Case study analysis (Nepal and global) Group discussions and role-plays on management scenarios Problem-based learning for decision-making and planning exercises Guest lectures from technology-led business sector managers
  • Multimedia presentations to visualize concepts
  • Flip classroom models
  • Mode of Delivery
  • In-person classroom lectures and discussions
  • Blended learning with online resources and assignments
  • Field visits to organizations (if feasible)
  • Simulations
  • Internal Assessment Methods and Types
  • Assessment Type Weightage Details Class participation & attendance 10% Contribution to discussions, engagement in class activities Quizzes/short tests 15% Periodic quizzes to assess comprehension
  • Assignments/case study reports/project & live projects 20% Individual or group written analysis of management cases
  • Mid-term examination 25% Written test Pre-board examination 30% Comprehensive written test covering all units External Assessment Methods and Types Final/board examination in written to test remembering, understanding, application, analyzing, evaluating, and creating.
  • Mapping Course: Learning Outcomes and Program Learning
  • Course Learning Objective (CLO) Dimensions Knowledge (K) Skills (S) Competence (C)
  • Total Learning 30% 35% 35%

Suggested Readings:

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