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Mat
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ssCourse Nr.: 0403112
Tafila Technical UniversityCollege of Business
Dept. of Economics2nd Semester2016/2017
Lecturer: Dr. Veronika Alhanaqtah
Office Hours: Monday, Wednesday9:30 – 11:00(office 347)
Course Description:
In Mathematics for Business course students will learn mathematical concepts widely applied in economic and financial analysis. The course covers topics from calculus and linear algebra that are fundamental for the study of mathematics for economics and business. The areas of focus include calculus and multivariable calculus, constrained and unconstrained optimization, mathematics of finance, linear programming.
Text Book: Mathematics for Economics and BusinessIan Jacques, 6th Ed (2009)Lecture summaries: www.alveronika.wordpress.com Page: Mathematics for Business
Software: MS Excel, R, MathXLOfficial website: www.mathxl.com
Evalua
tion
1st Exam (20 Marks): March 2
2nd Exam (20 Marks): April 13
Final Exam (50 Marks):
Assignments (10 marks):
Nr. Main Topic Sub-Topic0 Introduction What is Mathematics for Business
Course requirementsTest to check mathematical abilities
1 Linear function 1.1. Basics of algebra1.2. Graph and properties of a linear function1.3. Application of a linear function in Economics:
Supply and demand analysis
2 Non-linear functions 2.1. Quadratic function2.2. Application of a quadratic function in Economics: Revenue, cost and profit2.3. Indices and logarithms2.4. Exponential and natural logarithm functions2.5. Application of indices and logarithms in Economics
First Exam3 Differentiation 3.1. The derivative of a function
3.2. Rules of differentiation3.3. Application of differentiation in Economics: Marginal functions and Elasticity3.4. Optimization of economic functions
4 Partial differentiation 4.1. Functions of several variables. Small increment formula. Implicit differentiation. 4.2. Unconstrained optimization4.3. Constrained optimization. Lagrange multiplier4.4. Application of partial differentiation in Economics
Second Exam
5 Mathematics of Finance 5.1. Percentages5.2. Simple and compound interest5.3. Operations of compounding and discounting5.4. Methods of investment analysis
6 Linear Programming (advanced) 6.1. Application of linear programming. Mathematical model. Methods and software6.2. Graphical solution of linear programming
Final Exam
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