This is an introductory course in analytics tailored for accounting professionals. Through hands-on work, students learn to ask the right business questions, extract and transform relevant data from an enterprise system, evaluate the integrity of the data, detect patterns and anomalies, apply data analytic techniques, and interpret and present results in order to make data-driven decisions.

Overview of organizational behavior, operations management, and strategy/entrepreneurship. Topics include: Behavioral background of formal organizational life, organizational design, integrating factors in collective behavior, organizational change, systems analysis, techniques of decision making and control, the organization and its environment, and the nature of management theory. Topics grouped in modules of organizational behavior, operations management, and strategy/entrepreneurship. Prerequisite: junior standing.

The focus of this course is on the financial theory and empirical evidence that are relevant to management of investment portfolios. The topics covered include the relation between risk and return, diversification, asset allocation, portfolio optimization, factor models, market efficiency, and other related topics. The course will focus on the tools, applications, and concepts that go into investments. It relies heavily on quantitative methods and provides students with the ability to build valuation models to suit various investment strategies. Students will also gain an understanding of how investment theory relates to investment and management practices in the real world.

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.

Provides an overview of different perspectives and approaches to leadership practice and related organizational behavior topics. Relying on a participative multi-learning approach, the course goes beyond traditional leadership practices to examine empowering leadership approaches for addressing contemporary organizational behavior challenges such as leading teams. The overall objective is to increase students' understanding of and ability to apply contemporary leadership and organizational behavior knowledge in work situations.

This graduate course provides comprehensive coverage of project management, focusing on the methods and competencies needed to effectively manage projects. Upon successful completion of this course, students will be able to understand different project management techniques, terminology and trends; define project success measures and methods; improve quality, cost and efficiency with the project management process; and gain basic competency using project management software.

This course provides an introduction to topics in managerial data mining, and related data retrieval and manipulation content. Models in regression, clustering, neural nets, classification, and association rule mining are applied to business data sets. In this managerially-focused course, students will learn how to use such models and interpret output. Students will also be introduced to a programming language for extraction and manipulation of data. Experiential exercises will be assigned using leading industry applications.

This course provides an overview of statistical analysis and inference. The language and methods of statistics are used throughout the MBA curriculum, both in the classroom and in assigned readings. In addition, the language and methods of statistical analysis have permeated much of academic and professional writing as well as media reporting, both inside and beyond the business community. The goal is to present a broad introduction to statistical thinking, concepts, methods, and vocabulary. The course has an emphasis on business applications.