1429/5405 Business Math Complete Course

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About Course

This course (Code: 1429 / 5405) is offered by the Department of Mathematics, Allama Iqbal Open University (AIOU), Islamabad. It is designed to develop and strengthen the fundamental mathematical concepts required for the study of Business and Social Sciences at the undergraduate level.

The course is organized into 9 units covering the following topics:

  1. Probability Theory – Basic concepts, rules, independent/dependent events, conditional probability
  2. Random Variables – Discrete & continuous variables, probability distributions and their properties
  3. Equations – First and second-degree equations, inequalities, absolute values, coordinate geometry
  4. Linear Equations – Characteristics, graphing, slope, intercepts, and different forms of straight lines
  5. Matrices – Matrix operations and their applications in business problems
  6. Determinants and Inverses – Properties and applications in business and finance
  7. Derivatives – Rate of change, differentiation concepts and rules
  8. Partial Derivatives – Properties, theorems, cost functions, and profit maximization
  9. Optimization – Minimization of cost and maximization of profit and revenue

Course Objectives:

  • Develop an understanding and appreciation of Mathematics among students
  • Present material in a motivating way to encourage higher-level study
  • Build the ability to apply mathematical concepts in real business situations

This course is suitable for students enrolled in Business, Commerce, or Social Sciences programs seeking to build a strong mathematical foundation for practical and professional use.

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Course Content

Chapter 1: Probability Theory
📝 Chapter Summary: This chapter introduces the fundamental concepts of Probability Theory as a foundation for Business Mathematics. Students will explore how probability is used to analyze uncertain situations and make informed decisions in business and social sciences. The chapter begins with the basic building blocks of probability including sample spaces, sigma-fields, and probability measures. Students will then learn to identify and classify different types of events such as independent, dependent, mutually exclusive, and collectively exhaustive events using real-world examples and Venn diagrams. Moving forward, the chapter covers relative frequency as a method of estimating probability from data, followed by the seven essential rules of probability including complement, addition, and multiplication rules. Students will also learn the difference between marginal probability and joint probability, and how to use probability tree diagrams to visualize multiple outcomes. The chapter concludes with the laws of probability, focusing on conditional probability and dependent events with practical business applications. By the end of this chapter, students will be able to:Understand and apply basic probability concepts Classify events and calculate their probabilities Use probability rules to solve real business problems Interpret probability tree diagrams and frequency tables

  • 📘 Lesson 1: Introduction to Probability Theory & Sample Space
    17:24
  • 📘 Lesson 2: Events & Types of Events
    26:48
  • 📘 Lesson 3: Rules of Probability – Solved Examples
    28:01
  • 📘 Lesson 4: Coin Toss Probability & Tree Diagrams
    18:30
  • 📘 Lesson 5: Joint Probability – Children Groups Problem
    12:41
  • 📘 Lesson 6: Conditional Probability – Survey & Real Life Problems
    20:40
  • 📘 Lesson 7: Conditional Probability
  • 📘 Lesson 8: Dependent Events & Without Replacement Problems
    29:20
  • 📘 Lesson 9: Self-Assessment Questions – Complete Solutions (Q1–Q10)
    32:53

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