This course surveys the practical frictions managers encounter when solving problems and getting organizations to move forward and make progress. These frictions include ambiguity, imperfect information, politics, and flawed human beings. In working through a series of difficult cases, drawn from both academic and popular sources, students learn a set of techniques for overcoming these frictions. Students emerge with a broader appreciation for the general manager's job, and with the ability to avoid getting stuck on issues which can otherwise fluster junior executives.

This course examines negotiation fundamentals, including the two core strategies of competitive (win-lose) negotiation and integrative (win-win) negotiation. Course content focuses on negotiation preparation, strategy formulation, determination of goals and objectives, and processes for bringing about a successful settlement. The course will also explore psychological processes, power dynamics, communications at all stages of negotiation, ethical issues and the challenges of cross-cultural negotiations. The format of the course will be organized around a series of bargaining simulations and cases that are supported by readings, videos, and cases.

An overview of the concepts and language of financial and managerial accounting that covers how accounting information can be used as an effective tool for communication, monitoring, and resource allocation. Topics include the principles and methodologies underlying financial statements and the inherent limitations of that information. Additional topics include behavior, cost analysis, and tools used to motivate and coordinate business activities.

This course provides an introduction to programming with a focus on business and analytics applications. The curriculum supports the development of skills in data extraction and manipulation as well as automating data analysis tasks. Students will become adept in the use of important libraries and will be able to use trusted open-source resources to support continued development of programming skills. No prior programming experience expected.

This course provides an introduction to programming with a focus on business and analytics applications. The curriculum supports the development of skills in data extraction and manipulation as well as automating data analysis tasks. Students will become adept in the use of important libraries and will be able to use trusted open-source resources to support continued development of programming skills. No prior programming experience expected.

This course provides an introduction to programming with a focus on business and analytics applications. The curriculum supports the development of skills in data extraction and manipulation as well as automating data analysis tasks. Students will become adept in the use of important libraries and will be able to use trusted open-source resources to support continued development of programming skills. No prior programming experience expected.

This course provides an introduction to programming with a focus on business and analytics applications. The curriculum supports the development of skills in data extraction and manipulation as well as automating data analysis tasks. Students will become adept in the use of important libraries and will be able to use trusted open-source resources to support continued development of programming skills. No prior programming experience expected.

This course provides an introduction to programming with a focus on business and analytics applications. The curriculum supports the development of skills in data extraction and manipulation as well as automating data analysis tasks. Students will become adept in the use of important libraries and will be able to use trusted open-source resources to support continued development of programming skills. No prior programming experience expected.

This course provides an introduction to programming with a focus on business and analytics applications. The curriculum supports the development of skills in data extraction and manipulation as well as automating data analysis tasks. Students will become adept in the use of important libraries and will be able to use trusted open-source resources to support continued development of programming skills. No prior programming experience expected.

This course provides an introduction to Business Intelligence, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making. Business Intelligence requires foundation knowledge in data storage and retrieval, thus this course will review logical data models for both database management systems and data warehouses. Students will learn to extract and manipulate data from these systems and assess security-related issues. Data mining, visualization, and statistical analysis along with reporting options such as management dashboards and balanced scorecards will be covered.