Principles and practices of white and sparkling wine production. Major white wine styles of the world. Oak in winemaking, oak production and cooperage. Practical sessions relate to lecture topics and will include tasting sessions. The aim of this course is to introduce a collection of management science techniques that helps business managers make better decisions and to foster a logical, consistent and systematic approach to problem formulation, problem solving and decision making.
Emphasis is placed on model formulation and interpretation rather than algorithms.
Topics to be covered include mathematical programming, network modelling, Monte Carlo simulation, decision analysis under risk, and time series forecasting. The aim of this course is to study quantitative and qualitative marketing research for pro-active and reactive marketing intelligence systems as it applies to wine and agricultural marketers. Topics included are problem analysis, types of data collection systems, steps in research projects, controls of a research project, questionnaire design, statistical methodology for data reduction, sampling theory and the industry and operative organisations. Dealing with a market research organisation will be a significant aspect of the subject which is not aimed at producing researchers but clients who understand the intricacies of the process -and the limitations. Secondary sources such as trade, governmental or syndicated data will be explored and assessed.