As people are increasingly sharing their daily lives on social media, organizations and celebrities are using it as a channel to directly engage with followers. A lot of data is being generated in these interactions. This course seeks to provide students with frameworks and tools to gather insights from this data. For an organization this might allow them to gain insights into their market structure and their customers' perceptions of the brand. Other areas of interest may be studying the changing perceptions about the brands in response to the exchanges amongst netzines or the organization's marketing campaigns. This course will have several hands-on exercises based on the R language (No previous experience with R is required). Students will work with some near real-time datasets of tweets, US stock market data for select ticker symbols, and some popular RSS news feeds from the instructor's research projects in this field. Students will work in groups on a project that will use these datasets. While there are no prerequires for this course, a few skills would be helpful for anyone intending to take this course and these are; a basic understanding of descriptive statistics, some experience with spreadsheets, and any experience writing spreadsheet macros, database queries or some basic computer programming.

This course provides an introduction as well as hands-on experience in data visualization. Students will learn how to leverage data visualization for exploration and analysis. Students will be introduced to design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making. We will explore storytelling through a variety of mediums, including presentations and dashboards.

This course provides an introduction as well as hands-on experience in data visualization. Students will learn how to leverage data visualization for exploration and analysis. Students will be introduced to design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making. We will explore storytelling through a variety of mediums, including presentations and dashboards.

Supply chain constitutes a core competency, spanning most business functions required for the delivery of products and services to consumers. Advances in information technology and analytics facilitate continued improvement in supply chain infrastructure and operations efficiency. This course will introduce fundamental concepts in supply chain management, IT-enabled supply chain operations, procurement management, production planning, inventory management, and logistics and transportation. The course involves the use of Excel to support decision making, the study of selected business case studies, and the use of a team-based supply chain simulation game.

Supply chain constitutes a core competency, spanning most business functions required for the delivery of products and services to consumers. Advances in information technology and analytics facilitate continued improvement in supply chain infrastructure and operations efficiency. This course will introduce fundamental concepts in supply chain management, IT-enabled supply chain operations, procurement management, production planning, inventory management, and logistics and transportation. The course involves the use of Excel to support decision making, the study of selected business case studies, and the use of a team-based supply chain simulation game.

Supply chain constitutes a core competency, spanning most business functions required for the delivery of products and services to consumers. Advances in information technology and analytics facilitate continued improvement in supply chain infrastructure and operations efficiency. This course will introduce fundamental concepts in supply chain management, IT-enabled supply chain operations, procurement management, production planning, inventory management, and logistics and transportation. The course involves the use of Excel to support decision making, the study of selected business case studies, and the use of a team-based supply chain simulation game.

The course prepares students to consider the application of AI in business. Students will learn to use standard machine learning (ML) models in Python, and understand how to apply them across a range of business functions. Students will propose and implement a ML project.

The course prepares students to consider the application of AI in business. Students will learn to use standard machine learning (ML) models in Python, and understand how to apply them across a range of business functions. Students will propose and implement a ML project.

The course prepares students to consider the application of AI in business. Students will learn to use standard machine learning (ML) models in Python, and understand how to apply them across a range of business functions. Students will propose and implement a ML project.

This course provides an executive viewpoint of marketing concepts, such as branding and segmentation, for strategic and organizational decision-making. There is an emphasis on tools available for analysis and control of marketing activities, including the use of new media. Topics also include industrial life cycles, customer experience, and pricing strategy.