Term:Fall

Course Code:sd00220550

Campus:Main Campus

Academic Organization:Economics

Prerequisites:Advanced Mathematics, Linear Algebra

Credit:4（64 teaching hours）

Course Components:Lectures Required

Course Note:Required for economics and finance student

Course Description:

This module aims to provide students with a solid grounding in probability theory and mathematical statistics.Probability theory is the branch of mathematics that deals with modeling uncertainty. It is important because of its direct application in areas such as economics, finance andmanagement. It also forms the fundamental basis for many other areas in the mathematical sciences including modern optimization methods and risk modeling. The aim of Statistics is to provide students with a thorough grounding in statistical methodology, an awareness of the scope, achievements and possibilities of using statistics, and confidence in the use of appropriate statistical and computational tools, techniques and methodologies for solving and analyzing a range of practical problems. The course provides a brief introduction to probability theory and the application in statistics and leads on to the study of more advanced and specialized statistics and econometrics.