This professional development course examines large-scale projects designed to promote the redevelopment or regeneration of deteriorated or abandoned urban areas; the extension of the urban perimeter; the strengthening of growth centers; and/or the creation or rehabilitation of central city areas, including historic centers. The course focuses on policies and a broad set of land-based tools and management instruments to finance and fairly redistribute costs and benefits, and/or promote social urban integration. The course presents methodologies to evaluate the impact of these large-scale projects and critically analyzes a wide variety of case studies.

Proper alignment of real estate valuation or assessments with its market value is central to achieving equity in the distribution of tax burdens. Understanding valuation methods allows one to maximize skills, minimize limitations, and identify the most appropriate tools and techniques for each case. This course addresses the issues related to mass appraisal of real estate with emphasis on fiscal uses. Elements needed to build a system that can support cadastral appraisals in a fair and efficient way are presented and discussed. Specific requirements: Participants must have knowledge of property valuation methods and mastery of general statistics (measures of central tendency, dispersion analysis, linear regression).

Proper alignment of real estate valuation or assessments with market value is central to achieving equity in the distribution of tax burdens. Understanding valuation methods allows one to maximize skills, minimize the limitations and identify the most appropriate tools and techniques for each case. The course, offered in Spanish, addresses issues related to mass appraisal of real estate, with emphasis on fiscal uses. Material is presented and discussed including the elements necessary to build a system that can support cadastral appraisals in a fair and efficient way.

Specific requirements: Participants must have knowledge of property valuation methods and mastery of general statistics (measures of central tendency, dispersion analysis, linear regression).