Module description:

-The first part of this course deals with advanced microeconomics where it deals with individual decision making.
-We first consider the decision maker in an abstract setting before moving to a market environment. Here we derive the consumer’s demand function and its properties.
-We also study fundamental topics such as:
*Utility maximization,
*Expenditure minimization,
*Duality and
*Welfare changes.

•By the end of this course, the students should have the understanding on the following:
*Types of markets structures
*Demand curves and supply curves in imperfect competitions
*Optimization process in several market structures
*Balance of payments,
*Economic  growth and development models

This module allow students to evaluate information, both quantitative and qualitative, gathered to assess the plausibility, or validity, of an open question of interest. This may include the construction of graphical and numerical summaries for the given data. In course also,  the concept of big data analysis will be introduced where different algorithms used in big data analysis will be discussed.  At the end of this course, student will have knowledge on different concepts of data analysis including:  conduct hypothesis test using both parametric and  non parametric  methods, building different model and checking for their prediction accuracy, analyze data with high dimension (Big data) and data visualization methods that will enable student to to make sound decisions based on the  data available.