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Level 6 • Business Management

Mathematics for Economics and Business II

BSM 102 — Semester II

Course CodeBSM 102
TypeA
ECTS5
SemesterII

Course Description

Mathematics for Economics and Business II: Limits and Continuity. Average Rate of Change and Slope. Derivatives, Instantaneous Rate of Change, Higher Order Derivatives. Optimization, Concavity of Inflection Points. Maxima and Minima. Revenue, Cost and Profit Applications, Anti Derivatives, Rules of Integration, Differential Equations, Mathematics of Finance, Simple and Compound Interest, Present Value, Effective Interest, Future Value, Annuities.

Course Objectives

The aim of this course is to give the basic ingredients of mathematics for business and economics. Namely, functions, derivatives and differentials. Moreover, most of the models in economics appear in the form of linear models.

Key Concepts

  1. Limits, slope, tangent
  2. First-order derivative and second-order derivative of a function with one variable.
  3. Marginal functions.
  4. Stationary points, maximum, minimum.
  5. Elasticity.
  6. Partial derivative and second-order partial derivative of a function with two variables.
  7. Maximum and minimum points of a function with two variables.
  8. Integration. Definite integration.
  9. Linear problems.
  10. Differential equations.

Course Outline

WeekTopics
1Limits. Chapter 10 (Introductory Mathematical Analysis): an introduction to the basic idea of limit, rules of limits (Pages 451 - 469)
2Differentiation. Chapter 4: an introduction to the basic idea of differentiation, derivative of power functions, exponential and natural logarithm functions, rules of differentiation. (Pages 275 - 297 and 312- 321)
3Marginal Functions & Elasticity. Chapter 4 (continue): standard economic applications of differentiation economic applications in marginal functions and in elasticity, (Pages 298 - 311 and 322 - 336
4Optimization. Chapter 4 (continue): standard economic applications of differentiation in optimisation (Pages 337 - 368)
5Partial Differentiation. Chapter 5: functions of some variables, partial elasticity and marginal functions, first and second-order partial derivatives of functions of two variables, the application of partial derivatives in economics. (Pages 400 - 429)
6Unconstrained Optimisation. Chapter 5 (continue): application of first and second-order partial derivatives of functions of two variables in unconstrained optimisation. (Pages 443 - 456
7Constraint Optimisation. Chapter 5 (continue): application of first and second-order partial derivatives of functions of two variables in constrained optimisation, Lagrange multipliers (Pages 457 - 481)
8Review. Exercises.
9Midterm exam.
10Indefinite integration. Techniques of integration. Chapter 6: integration of functions of one variable, methods and techniques of integration. (Pages 493 - 508)
11Definite integration. Chapter 6 (continue): area surface under the graph of a function, producer’s and consumer’s surpluses (Pages 509 - 523)
12Graphical solution of linear programming problems. Chapter 8: basic mathematical techniques and special cases when problems have either no solution or infinitely many solutions, economic problem as a linear programming problem (Pages 599 - 629)
13Differential equations. Chapter 9: the complementary function of a difference equation, the particular solution of a difference equation, the complementary function of a differential equation, the particular solution of a differential equation (Pages 643 - 672)
14Review. Exercises.

Learning Outcomes

  1. Estimate the derivative of a function by measuring the slope of a tangent.
  2. Derive the relationship between marginal and average revenue
  3. Differentiate complicated functions using a combination of rules.
  4. Determine the price elasticity for general linear demand functions.
  5. Use the first and the second-order derivative to find maximum and minimum points of a function with one variable.
  6. Perform implicit differentiation.
  7. Use the first and the second-order derivative to find maximum and minimum points of a function with two variables.
  8. Use the method of Lagrange multipliers to solve constrained optimisation problems.
  9. Use methods of integration to calculate the consumer’s surplus, producer’s surplus.
  10. Use matrix inverses to solve systems of linear equations arising in economics.
Assessment
MethodQty% Each
Midterm Exam(s)135
Quiz25
Final Exam145
Attendance10
Textbooks

Ian Jacques, Mathematics for Economics and Business, Pearson ninth edition 2018

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