The time value of money; valuation of financial securities; allocating capital; an introduction to risk and risky decision making; the financing decision of the firm; financial statement and working capital management; more special topics include mergers and acquisitions, and international finance.

Prerequisite: ACCOUNTG 221

This course will introduce students to the language and culture of the Kurdish people and their contemporary political situation in the Middle East. This course qualifies for the Middle Eastern Studies Major or Minor.

This course offers a survey of the Political Economy of Public Health. This is an emergent research stream that seeks to understand the distal political and economic causes of population health, and represents a return to the origins of public health, captured by Rudolph Virchow's famous dictum: "Medicine is a social science, and politics is nothing more than medicine on a grand scale." It extends the social determinants of disease tradition, making it more dynamic and moving further upstream.

Introduction to the evolving discipline of landscape ecology, with emphasis on the theoretical underpinnings Focus on ecological scaling; landscape structure; agents of landscape structure; consequences of landscape structure to populations, communities, and ecosystem processes; landscape dynamics; and landscape management. Emphasis on modeling.

This course, intended for students with a background in physical, chemical, or quantitative life science, will cover physical principles that apply to biological molecules and cells: Bownian motion, low Reynolds-number environments, forces relevant to cells and molecules, chemical potentials and free energies, as well as the basics of polymer physics. These principles will be applied to enzymes as molecular machines, membranes, DNA, and RNA.

This course covers current topics in genetics and and the social, ethical and legal issues surrounding genetic technology. Topics include genome structure and evolution, genetics of disease, personal genomics, human microbiomes and epidemiology. Students will have the opportunity to submit their DNA for genome-wide SNP and gut microbiome determination. Practical skills for analyzing genetic and genomic data are taught through weekly bioinformatic sessions in the R statistical programming language.

The goal of this course is to provide Professional Masters students with industry mentorship and real-world data science training. Beyond-classroom educational opportunities are an excellent way to gain practical experience on a substantial project, to learn advanced skills, to collaborate with a professional PhD researcher, to form a connection to a data science company, and to work in a team with other graduate students. Industry partners propose semester-long data science projects.