Module Identifier MA13610
Module Title MATHEMATICS FOR ECONOMICS AND FINANCE 2
Co-ordinator Dr V Mavron
Semester Semester 2
Pre-Requisite MA12610 or MA10110 or MA12010.
Mutually Exclusive May not be taken at the same time as MA13510.
Course delivery Lecture   22 x 1 hour lectures
Seminars / Tutorials   6 x 1hour example classes
Assessment
Assessment TypeAssessment Length/DetailsProportion
Semester Exam2 Hours (written examination)  60%
Semester Assessment Course Work:  20%
Semester Assessment In-Course Assessment: Open book test  20%
Supplementary Assessment2 Hours (written examination)  100%

#### Learning outcomes

On completion of this module, a student should be able to:
• find the first and second order partial derivatives of a function of 2 or 3 variables;
• optimize a function of 2 variables using either the substitution method or Lagrange multipliers;
• perform basic matrix algebra, find the inverse of 2 by 2 or 3 by 3 matrices and use inverses to solve equations;
• evaluate 2 by 2 and 3 by 3 determinants and apply Cramer''s rule to solve equations;
• reduce a matrix to echelon form, find its rank and solve associated systems of equations;
• integrate simple polynomial, rational and exponential functions;
• calculate the area under a curve;
• find the total cost function given any marginal cost function;
• find the total revenue function given any marginal revenue function;
• find the consumption and savings functions given either the marginal propensity to consume or the marginal propensity to save.

#### Brief description

This module continues the thread of MA12610 with optimisation of functions of several variables and Lagrange Multipliers. It also includes basic matrix techniques and simple differential and difference equations. Like MA12610, it will be illustrated with applications to Economics.

#### Aims

To introduce the basic Mathematical techniques required for degrees involving Economics or Accounting.

#### Content

1. FURTHER OPTIMIZATION: Constrained optimization in functions of one variable, the interpretation of Lagrange multipliers, unconstrained optimization in functions of more than one variable, constrained optimization in functions of more than one variable.
2. MATRIX ALGEBRA: Simultaneous linear equations, Gaussian reduction, laws of matrix algebra, identity and null matrices, matrix addition and subtraction, scalar multiplica-tion, matrix multiplication, matrix inversion, determinants, determinants and matrix non-singularity, higher-order determinants, matrix inversion using determinants, Cramer's Rule, matrix rank.
3. INTEGRATION: The notion of an integral. Area under a curve. Integration of simple power and exponential functions. Integration of marginal functions.