This course introduces students to essential concepts and tools used in microeconomic and macroeconomic analysis. Microeconomics deals with the behaviour of individual economic agents (persons, households and businesses) and shows how resources are allocated by the price mechanism through the interaction of consumer and producer decisions (demand and supply forces) under different market structures. Macroeconomics, however, deals with economics at an aggregate level focusing on such topics as the determinants of national income and economic growth, and the effects of fiscal and monetary policies on unemployment and inflation under different exchange rate regimes. 

This course introduces students to the fundamental principles of economic analysis with a focus on their application in engineering contexts. Students will learn to assess the economic viability of engineering projects, considering factors such as cost estimation, financial forecasting, and risk analysis. Prerequisite: MATH 161.

This course introduces the foundational concepts and tools of microeconomic analysis as they apply to real-world decision-making. Designed for economic analysts and policy professionals, it deepens understanding of market behavior, pricing, and strategic interaction. Key topics include elasticity, consumer choice, cost and production, labor markets, monopoly, and game theory. Through a combination of theoretical insights and applied case studies, participants will develop practical modeling skills, apply data-driven approaches, and conduct policy analysis to interpret and influence economic outcomes in both private and public sector contexts.

This course introduces students to core econometric methods and their practical application in empirical economic research. Students will learn how to build, estimate, and interpret econometric models using real-world data. Topics include multiple regression analysis, hypothesis testing, time series models, panel data methods, and volatility modelling. The emphasis is on applying techniques to real-world data using STATA, developing critical analytical skills, formulating and evaluating econometric models and translating empirical results into policy-relevant insights.

This course examines the economics of climate risk and Environmental, Social, and Governance (ESG) analytics, focusing on how climate-related risks and sustainability factors influence markets, investment decisions, and corporate value. Students will apply economic theories to assess physical and transition risks, analyze ESG metrics, and evaluate policy impacts. Key topics include carbon accounting, greenhouse gas measurement, and net-zero transition strategies. Through case studies, quantitative modelling, and emerging technologies such as AI and blockchain, participants will design strategies to manage risks, screen investment portfolios, and align incentives with global sustainability goals.