FRE 505(1.5): Policy and Project Evaluation Tools - Agricultural and Resource Policy Analysis*
Provides the analytical tools Policy Analysis Matrix (PAM), Cost Benefit Analysis (CBA) and Domestic Resource Cost (DRC) to evaluate Government policies and projects. Using the analytical framework developed in previous FRE 502.
FRE 515 (3): Agribusiness Management
Brings a grounding experience into “real world” agri-business. Uses the analytic framework developed in FRE 516 and apply concepts of accounting, finance, marketing, operations, human resources, leadership, quality assurance, crisis management, ethics and sustainability, into managerial decision making.
FRE 517 (1.5): Futures Trading of Agricultural Commodities
Over a period of six weeks, students will be applying their knowledge from FRE501 in class work simulations from the perspectives of growers, merchants (domestic and international), processors (corn ethanol, canola and soybean crushers), as well as lumber, oil & gas, and electricity traders; these applications will also be beneficial from the perspective of portfolio management. Students will formulate and test their own trading and hedging strategies in case work. We will also be using the CME trading simulation platform for added practical experience.
FRE 518 (1.5): Survey Design and Data Analysis
Introduce the methods and techniques in applied survey research and data analysis with concentration on the food, agribusiness and resource sector. Content includes the use of focus groups as exploratory research, design of questionnaires, best practices of conducting surveys, sample selection and design, compiling and organizing data, and survey data analysis & presentation.
FRE 521C (2): Topics in Food and Resource Economics
This course provides a forum for students to develop an understanding of real-world applications, trends and practices of applied policy, environment, commodity markets, trade policy and agribusiness economics in the food and resource related sectors.
FRE 521D (1.5): Special Topics in Food and Resource Economics – Business Analytics for the Food & Resource sector
The primary objective of business analytics is to find useful patterns in data. This course is designed to help you find these patterns by providing frameworks, models and hands-on experience. The course will begin by providing an overview of field of analytics and then move into specific data analysis techniques and tools. A variety of data manipulation tools will be discussed including R, Tableau, PowerBI and Excel. As well, we’ll examine the role of programming languages and data query languages using both NoSQL (object) and SQL (relational) databases.
FRE 521E (1.5): Global Food and Resource Policy-making- Special Topics in Food and Resource Economics
This course provides an understanding of the role of governments, business, civil society and international institutions in global food and resource policy-making. The course is organized around the examination of real-world controversies in global food and resource governance – such as, but not limited, to global food crises, large-scale land acquisitions, and the agriculture negotiations at the World Trade Organization. Students taking this course will develop substantive knowledge of global policy-making around food and resources and be able to assess the efficacy, fairness and legitimacy of, and possible alternatives to, current global policies and governance arrangements.
FRE 522(1.5): Environmental Externalities in the Global Economy
Examine the barriers to efficient resource and environmental management that arise from their trans-national nature. Focus on Climate Change, Environmental catastrophes and conservation.
FRE 523(1.5): Resource Economics - Fisheries
Introduction to Economics of Renewable Resources with focus on marine resource. This analytical framework is then use to assess extraction, depletion, protection and management of marine resources. Emphasis in the efficiencies and failure on economic decision making (management).
FRE 526 (1.5): Environmental Economics and Policy: Theory
In this course, we will build an analytical framework from simple economic principles. We will use it to define society’s optimal pollution and preservation/exploitation of natural resources. We will then ask: can markets function effectively to protect our environment or is government policy necessary? When it comes to the environment, the market often fails. What can we do to improve it? Based on the type of resource, we will study policies to correct market failure. We will understand the realities of government intervention and how governments can do better in steering our environment.
FRE 527 (1.5): Environmental Economics and Policy: Empirical Studies
We study the economics of urban environmental problems: topics such as urban development, transportation, and energy. We will learn how researchers typically find data, and establish causality and draw inference in analyzing government policies.
FRE 529 (1.5): Estimating Econometric Models
Introduces advance econometric methods extending the analysis from FRE 528. Topics can include instrument variables (IV) estimation, experiments and quasi-experiments (difference-in-difference estimation, ANCOVA, regression discontinuity) and panel data methods (basic models and dynamic panel models). The focus of the course will be on the application of these methods in econometric modeling rather than on theoretical proofs.
FRE 585 (3): Quantitative Methods for Business and Resource Management
This course will provide the necessary foundation and experience for students to apply a variety of modeling and quantitative techniques to business and resource management problems. This class will concentrate on frequently used quantitative and decision-making models that include decision analysis, resource allocation models, optimization such as linear programming (allocation and scheduling of resources), an introduction to forecasting and predictive analytics, data mining, simulation modeling, operations analysis and inventory management. Upon completing this course, students will be capable of using a powerful set of functions and tools in Microsoft Excel for solving a broad range of quantitative problems. Student will also be introduced to a Visual Analytics tool called Tableau and will have several assignments that will utilize this tool.