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. Rubrics establish criteria for meeting expectations of each assignment and provide a framework for instructor feedback. Discussions are optional. Successful completion of the course is based on quality submission of assignments.

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.

This course is a two-part honors seminar that occurs over the course of the academic year and students must complete both to use the completion of this seminar to fulfill the honors research /thesis or project requirement. The first part of the honors seminar in fall semester is designed to introduce the methods and approaches utilized to conduct research. In the spring semester, the students who successfully completed the first part of the honors seminar will carry out the proposed research projects under the supervision of the faculty member teaching the seminar.

Not available at this time.