The effective management of human capital, one of any organization's key investments, is critical to success. Clear accountability for human capital management, strong systems to support its development and growth, and an HR structure that is aligned to deliver results, differentiates world-class HR functions. This course focuses on connecting business strategy with human capital strategy, and the resulting impact on the human capital department. Topics include HR to business alignment, employment branding, managing the performance and growth of human capital, effective change management, the evolving role of the HR function and the HR professional, and successfully marketing ideas to management.
This course introduces the strategic perspective to be taken in harnessing the human Resources of an organization. More particularly, the course focuses on the strategic roles which the Human Resources function and professionals play in creating value and delivering results to their respective organizations.
This course explores important supply chain metrics, primary tradeoffs in making supply chain decisions, and basic tools for effective and efficient supply chain management, production planning and inventory control, order fulfillment and supply chain coordination. We will also investigate topics such as global supply chain design, logistics, and outsourcing, several other recent supply chain innovations.
Students will explore the complexities of the hospitality business environment and the unique nature of the hotel sector in national and global contexts.
Topics include managing the physical plant of a hotel or restaurant, addressing energy, water, and waste demands, and ensuring environmentally conscious facilities management.
By the end of the course, students will be equipped to manage operational challenges effectively and sustainably.
A first course in statistical methods including such topics as collecting, grouping, and presenting data; measures of central tendency, position, and variation; theoretical distributions; probability; tests of hypotheses; estimation of parameters; and two variable linear regression and correlation. Use of statistical computer software and/or a scientific calculator (capable of performing 2-variable statistics) may be required.