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.

This course teaches students how to maximize spreadsheets as a data management tool using advanced functions and formulas. Students will learn how to efficiently manipulate, format, and automate data, and use spreadsheets to build customized reports, dashboards, amazing charts, pivot tables and macros. This course is applicable to all business disciplines. Prerequisites: basic spreadsheet knowledge.

This course teaches students how to maximize spreadsheets as a data management tool using advanced functions and formulas. Students will learn how to efficiently manipulate, format, and automate data, and use spreadsheets to build customized reports, dashboards, amazing charts, pivot tables and macros. This course is applicable to all business disciplines. Prerequisites: basic spreadsheet knowledge.

In today's global marketplace, businesses increasingly recognize the importance of adopting sustainable practices within their supply chains. This course offers a comprehensive overview of essential concepts, strategies, and best practices for developing and managing sustainable supply chains. Topics covered include the business case for sustainability, sustainable operations, circular economy principles, green logistics, sustainable sourcing, eco-labels, supply chain risk management, and green product design.

This course presents poverty as a challenge to education with management as a common element of solutions to address poverty. The course is designed to explore the development, persistence, and broad range of impacts of poverty across multiple disciplines. The contents cover poverty research and practices, management, criminal justice, psychology, sociology, marketing, economics, education, and families, among others. Students will use this multidisciplinary perspective to develop a transdisciplinary research proposal to develop solutions to mitigate and eliminate the challenges of poverty.

This course is based on an alternative paradigm of sustainability-oriented innovation. Adopting a triple bottom line approach to entrepreneurship is becoming increasingly important as investors question risks in our hotter, scarcer world. The first step is Systems Thinking, mapping the system of a sustainability challenge such as climate change, and learning opportunities for leverage.

This course covers the unique challenges and prospective solutions associated with humanitarian logistics in emergency mitigation and preparedness, disaster response, and recovery. The course overviews the similarities and the differences between commercial supply chains and humanitarian relief chains, introduces performance metrics, and provides tools for the analysis and design of supply chains for humanitarian critical needs products, as well as for the coordination and learning of humanitarian organizations.

Continuation of Accountg 521. A conceptual framework for accounting for a firm's reported liabilities. Focus on the nature of liabilities, and issues regarding their recognition, measurement, and disclosure. Liabilities covered include bonds, leases, pensions, other postretirement benefits, and current and deferred income taxes. Also, accounting for stockholders' equity, earnings per share measures, and statement of cash flows. Motivations of management in choosing among acceptable accounting alternatives in each of these areas examined, along with the economic consequences of such choices.

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 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.