This course covers topics in managerial data mining, texting mining, and web mining, and related data retrieval and manipulation. 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 when and how to use such techniques and how to interpret output. Students will also be introduced to languages such as R and Python to extract and manipulate data.

This course covers topics in managerial data mining, texting mining, and web mining, and related data retrieval and manipulation. 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 when and how to use such techniques and how to interpret output. Students will also be introduced to languages such as R and Python to extract and manipulate data.

This course exposes students to how core business concepts are implemented in real-world organizational settings. Key business processes covered include procurement (materials management), fulfillment (sales), and production (manufacturing). The class meets in a computer lab and enables hands-on experience, with instructor guidance, to the ERP solution from SAP, the world's largest business software company. Using the system's core modules and data warehouse, students will gain insight into online transaction processing (OLTP) and online analytical processing (OLAP).

This course exposes students to how core business concepts are implemented in real-world organizational settings. Key business processes covered include procurement (materials management), fulfillment (sales), and production (manufacturing). The class meets in a computer lab and enables hands-on experience, with instructor guidance, to the ERP solution from SAP, the world's largest business software company. Using the system's core modules and data warehouse, students will gain insight into online transaction processing (OLTP) and online analytical processing (OLAP).

Provides an introduction to project management, focusing on the integration of business operations and information management, and techniques to effectively manage the implementation of such projects.

This course is designed to teach future leaders what they need to know in order to build high-performance operations with world-class processes, continuous improvement and innovation. We cover the most cutting-edge methodologies and tools, together with the most important soft skills required, to create lean and responsive operations that deliver the highest quality services and products.

Integrated supply chain constitutes a core firm competency, spanning most business functions required to deliver products and services to consumers at the right time, in the right amounts, at attractive prices, and with satisfactory quality characteristics. Advances in information technology facilitate continued improvement in supply chain infrastructure and operations efficiency.

Supply chains (SCs) provide products and services to consumers and lie at the heart of global economies. Supply chain analytics focuses on a understanding of SC data for the efficient coordination of operations and choice of policies. The course covers concepts in customer service analytics, transport strategy, SC coordination, inventory management, and location strategy. The course will mostly involve team assignments, case studies, and SC simulation games.

This course is integrative and will introduce you to business process optimization using mathematical programming models and provide you the capability to use modeling constructs for business process optimization scenarios that arise in industry. Such prescriptive analytics are used in decision-making scenarios that arise in business process planning and operations in areas such as production, logistics, supply chain management, marketing, or finance.

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