A conceptual framework for accounting for a firm's reported assets. Focus on the nature of assets and issues regarding their recognition, measurement, and disclosure. Assets covered are cash, receivables, inventory, plant and equipment, intangibles, and investments in equity securities. Motivations of management in choosing among acceptable accounting alternatives in each of these areas examined, along with the economic consequences of such choices.

This course is designed to help you develop and polish essential career and professional development pieces. The idea is that, whether you are looking for a new job, aiming for a promotion, or happily working in your current position, you need certain items in your career toolkit. Those items include resumes, cover letters, elevator pitches, LinkedIn profiles and behavioral interviewing techniques. We'll use assigned readings, instructional videos, and other guidelines to establish criteria for meeting today's standards.

This course combines three perspectives: inferential thinking, computational thinking, and real-world relevance. Financial decisions are increasingly data-driven, and require more than inferential thinking. Computational thinking and real-word considerations are also needed for finance professionals to function effectively. Students will utilize all three perspectives to make better financial decisions. The course teaches critical concepts and skills in computer programming (with Python) as well as statistical inference, in conjunction with hands-on analysis of financial datasets.

This course combines three perspectives: inferential thinking, computational thinking, and real-world relevance. Financial decisions are increasingly data-driven, and require more than inferential thinking. Computational thinking and real-word considerations are also needed for finance professionals to function effectively. Students will utilize all three perspectives to make better financial decisions. The course teaches critical concepts and skills in computer programming (with Python) as well as statistical inference, in conjunction with hands-on analysis of financial datasets.

This course explores key issues in fixed income markets. It develops tools for valuing and modeling the risk exposures of fixed income securities and their derivatives.

This course explores key issues in fixed income markets. It develops tools for valuing and modeling the risk exposures of fixed income securities and their derivatives.

The course will include an overview of alternative assets, alternative investments strategies, options theory, real-life examples, hands-on modeling, the use of financial data, and in-depth business applications projects with real clients.

This course will cover contemporary investment strategies, with an emphasis on real-world relevance. The theme of the course will vary depending on instructor interest and expertise. Major topics: fundamental analysis, market efficiency, and computer age investing.

The risk management concept and the associated insurance-related financing tools. Emphasis on the corporate risk handling function from a financial perspective. The insurance industry, pertinent trends, and the products offered.

Not available at this time