Econometrics is a tool for the analysis of relationships between economic variables. In addition, the field of Economics has become increasingly quantitative, and analysis of research data has become increasingly computer-based. The purpose of the introductory course in econometrics is to introduce students to econometric theory and its application to equip them with the basic knowledge required for performing quantitative analyses of economic models. In this course, we essentially cover the basic elements of the general econometric procedure in the context of the linear regression model and deal primarily with least squares estimation methods. The course emphasizes the intuitive understanding and practical application of these basic tools of regression analysis, as distinct from their formal theoretical development. To achieve this objective, students must be able to use specific statistical concepts which have been studied previously in Introduction to Statistics In this course, practical exercises using Econometric and Statistical Software such as SPSS, STATA, and others will be conducted to equip students with knowledge and skills of using the software for data analysis. Contents to be covered include the nature of Econometrics, its rationale and methodology; correlation theory; simple linear regression models; tests of significance of estimates; desirable properties of least square estimators; multiple regression analysis; problems of regression analysis; simultaneous equation models; non-linear regression models and Time series Econometrics.