Eligibility 
Expand+Requirements, Exclusions and Recommendations
Learning Requirements:
You should have achieved a minimum O3 in Leaving Certificate Mathematics or equivalent.
Module Requisites and Incompatibles
Incompatibles:
ECON10030  Intro Quantitative E...
HideRequirements, Exclusions and Recommendations
Learning Requirements:
You should have achieved a minimum O3 in Leaving Certificate Mathematics or equivalent.
Module Requisites and Incompatibles
Incompatibles:
ECON10030  Intro Quantitative Economics, MATH00010  Introduction to Mathematics, MATH10120  Linear Algebra Apps to Econ, MATH10130  Intro to Analysis (E&F), MATH10200  Matrix Algebra, MATH10210  Found. of Math. for Com.Sc. I, MATH10220  Found. of Math. for Com. Sc II, MATH10230  Mathematics for Agriculture I , MATH10240  Mathematics for Agriculture II, MATH10250  Intro Calculus for Engineers , MATH10260  Linear Algebra for Engineers, MATH10290  Linear Algebra for Science, MATH10310  Calculus for Science, MATH10340  Linear Algebra 1 (MPS), MATH10350  Calculus (MPS), MATH10390  Linear Algebra (Online), MATH10400  Calculus (Online), MATH20330  Optimisation for Economics, MST00050  Mathematics: An introduction, MST10010  Calculus I
Additional Information:
Students should have achieved a minimum O3 in Leaving Certificate Mathematics or equivalent.

Course Content 
Expand+MATH10030 Mathematics for Business
Academic Year 2021/2022
This mathematics module has been specifically designed with the mathematical needs of the business undergraduate in mind. Mathematics plays an important role in subject areas such as Ac...
HideMATH10030 Mathematics for Business
Academic Year 2021/2022
This mathematics module has been specifically designed with the mathematical needs of the business undergraduate in mind. Mathematics plays an important role in subject areas such as Accountancy, Economics, and Finance, but skills such as the ability to problem solve, interpret and analyse information pervades all of Business. This module will focus on some of the major concepts and mathematical techniques of Calculus which the business undergraduate is likely to encounter.
Learning Outcomes:
On completion of this module the student is expected to be able to:
Graph polynomial functions, and the exponential and natural logarithm functions and analyse their graphs.
Be able to use polynomials in supply/demand analysis.
Determine interest, present values and future value of shares and deposits.
Explain the concept of the derivative and differentiate products, quotients and compositions of the functions listed above.
Optimise functions of one real variable.
Find the partial derivatives of functions of several variables.
Optimise functions of two variables, with and without constraints.
Use the optimisation techniques to maximise/minimise production/costs.
Add and multiply appropriate matrices and describe the concept of identity matrix and invertible matrix and find the inverse of a 2x2 matrix where possible.
Model problems in business and apply mathematical techniques to find and interpret a solution.
Indicative Module Content:
1  Linear and Quadratic Functions with Applications to Business
Section 1.1  Functions
Section 1.2  Linear Functions
Section 1.3  Quadratic Functions
Section 1.4  Supply and Demand Analysis
Section 1.5  Revenue, Cost and Profit Analysis
2  Exponential and Natural Logarithm Functions with Applications to Business
Section 2.1  The Exponential Function
Section 2.2  Percentages and Compound Interest
Section 2.3  The Natural Logarithm Function
Section 2.4  Continuously Compounded Interest
3  Differentiation with Applications to Business
Section 3.1  Differentiation
Section 3.2  Marginal Analysis
Section 3.3  Elasticity
4  Optimisation with Applications to Business
Section 4.1  Optimisation
Section 4.2  Optimisation with Applications to Business
5  Functions of Several Variables with Applications to Business
Section 5.1  Partial Differentiation
Section 5.2  Optimisation of Functions of Two Variables
Section 5.3  Lagrange Multipliers
6  Matrices
Section 6.1  Matrix Algebra
Section 6.2  Invertible Matrices
