Course Description
The course presents contemporary quantitative tools through business models in order to prepare students for other courses using quantitative methods. The course covers application of quantitative analysis to business and economic problems.
Course Outcome
At the end of the course, students should be able to:
- Use statistical tools in Projects feasibility
analyses
- Formulate business, management and economic
issues into mathematical problems and solve them using appropriate quantitative
techniques
- Apply quantitative techniques in projects decision
making.
- Apply mathematics to technical problems in Project
management.
- Appreciate
the value of mathematical reasoning and analysis in projects objectives and
milestones
Course Content
- Basic functions peculiar to studying
business(Linear, quadratic, some polynomials exponential and logarithmic
functions),
- Algebraic relationships,
- Systems of equations,
- Linear programming,
- Network flow models,
- Time series analysis and business
forecasting
- Probability and statistics,
- Decision analysis.
Required Reading Materials
- Barnett,
A., Zielgler, R. & Byleen, E. (2000). Applied mathematics for business,
economics, life sciences and social sciences, (7th ed.). New York:
Prentice-Hall, Inc.
Optional Reading Materials
- Dowling,
E. T. (1992). Introduction to mathematical economics, (2nded.).
Schaum’s Outline series, Ontario: McGraw-Hill Inc.
- Hughes-Hallet,
D. & Gleason, M. (1996). Applied calculus for business, social sciences and
life sciences, New York: John Wiley and Sons, Inc.
- Chiang,
A. C. (1984). Fundamental methods of mathematical economics. New York:
McGraw-Hill Book Co
- Facilitator: Theresah Fosu