LEVEL 100 ( FIRST YEAR)

  1. EES 100: Mathematics for Economists I

Role of mathematics in economic analysis; Fundamental techniques in algebra; Set theory, relations, and geometry; Functions: linear, non-linear, multivariate, Equations and inequalities; Differential Calculus: Concepts of limits, Continuity, Derivatives of algebraic and non-algebraic functions, optimisation of univariate functions

LEVEL 200 ( SECOND YEAR)

  1. EES 200: Mathematics for Economists II (Prerequisite: EES 100)

Equilibrium analysis: partial and general markets. Total Differential. Partial Differentiation, second order partial derivatives and applications. Constrained Optimisation: Langrangian multiplier Integral Calculus: Indefinite and definite integrals, applications. Integrals of non-algebraic functions. Matrix algebra: Types, determinants, matrix operations, applications.

  1. EES 201: Statistics for Economists II

Basic concepts in statistical analysis. Tabular and graphical presentation of data. Measures of central tendency. Sample surveys and sampling methods. Probability theory; sets and events, objective and subjective approaches to probability, axioms of probability, conditional independences. Important probability distributions: the position distribution, the hypergeometric and normal distributions. Sampling distribution of the mean and of the proportion.

LEVEL300 ( THIRD YEAR)

  1. EES 300: Mathematics for Economists III (Prerequisite: EES 200)

Matrix algebra: Gauss Jordan solution to simultaneous equations, Jacobian, hessian determinants. Tests for convexity and concavity. Linear Programming, and Non-linear programming: Kuhn-tucker conditions. Differential Equations: First order linear equations, dynamic stability and steady state. Difference equations: linear first order difference equations, solutions, steady state and convergence.

  1. EES 301: Statistics for Economists II( Prerequisite: EES 201)

Sampling distributions of the mean and proportion, Central Limit Theorem. Theory of Estimation, point and interval estimation, statistical hypothesis testing; the t-distribution, chi-square and F-distributions. Regression and correlation analysis. The theory and application of Index numbers. Time series analysis, the secular trend, preriodic variations, cyclical variations, irregular variations and forecasting.

  1. EES 302: Operations Research I

Formulation of linear optimisation models.Convexanalysis.The simple algorithm.Duality and sensitivity testing. Graph theory fundamentals. Classical transportation problems and their extensions.Models from agricultural economics, regional planning and resource economics.

  1. EES 303: SAMPLE SURVEY

Census and Survey; sampling units surveys. Use of random numbers Tables. Data collection instruments and preparation of reports. Simple random sampling. Stratified random sampling. Sampling for proportions. Systematic sampling: cluster sampling, double and multiple sampling. Sampling and non-sampling errors. Radial and regression estimates

LEVEL 400 (4TH YEAR)

  1. EES 400: Fundamentals of Econometrics I

Correlation theory, simple linear regression, multiple regression, statistical tests of significance of estimates, test of overall significance of a regression, tests of structural change, test of linear restriction, violation of assumptions: normality, heteroscedasticity, autocorrelation, multicolinearity, errors in variables, misspecification.

  1. EES 401: Fundamentals of Econometrics II (Prerequisite: EES 400)

Models with Dummy variables: changes in intercept and slope; Simultaneous Equation Models, ILS, 2SLS;Systems of equations, SUR models; Discrete Response Models: Linear probability model, Logit model, Probit model, Tobit model; Introduction to panel data: pooled cross section and time series data, fixed and random effect models.

  1. EES 402: Operations Research II (Prerequisite EES 302)

Optimization in networks,shortest and critical paths, maximal and minimal cash flows. Introduction to dynamic programming. Inventory and equipment replacement. Probability programming models. Stochastic process and market chains.

  1. EES 403: Applied Statistics for Economists

Types and role of information in economic development.Common problems in statistical analysis.Methods of data collection in social sciences.Data description, analysis and presentation.Probability theory and probability distributions (some applications).Index numbers and their applications.Parametric and non- parametric tests in economic analysis.Computers and statistical analysis.

  1. EES 404: Economic Modelling and Computer Simulation

Systems Dynamics, Micro analytical Simulation Models, Multilevel modelling, Queuing Models and Discrete Event Simulation ( Queuing Theory and Workflow Management). CellularAutomata, Multi Agent Modelling, Distributed Artificial Intelligence, Markov Models and Qualitative Simulation. Game theory as a method of conceptualizing social interaction, decision theory, self-organization of economies and coordination failures.

  1. EES 405: Design and Analysis of Experiments

Comparing two treatments, Radom sampling and declaration of independence, significance tests and confidence interval comparing K- treatment means, Two way factor designs; modeling and regression analysis.