This course focuses on differentiation, integration (anti-differentiation), definite integrals for functions of one variable, and partial differentiation. These mathematical models are applied to topics such as supply/demand, cost/revenue/profit, production of labor, elasticity, consumer/producer surplus, Cobb-Douglas production functions, utility functions.
This course introduces further statistical concepts and techniques, building on the basics of descriptive and inferential statistics covered in MATH 1902. Topics include hypothesis testing, comparison of two population means/proportions, simple & multiple linear regression, correlation, chi-squared tests for goodness of fit and independence, introduction to time series. Students will learn to use these advanced statistical concepts and techniques in analyzing data and presenting data correctly and clearly. They will develop an understanding of the nature of data, the conclusions that can and cannot be validly drawn from it. They will be aware of the powers and limitations of statistical techniques. Excel/DDXL are very important tools for carrying out statistical analysis throughout the course.
This course aims equip students to appreciate how marketing research helps reduce uncertainty when making marketing decisions, to learn how to plan, execute and criticize the use of marketing research and to understand the types of marketing research most often conducted at each step in the new product development process.
The European Union
This course focuses on the political and economic aspects of the European Union, as well as on current issues concerning the development of the EU: EMU, eastward enlargement, policies, institutions, and relations with countries outside the EU. The survey of the historical background of the EU is necessary to fully understand the reasons and the need for an economic, monetary and political integration within the European Union.