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.
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.
The Artificial Intelligence in Business is designed for business major students aspiring to develop a deeper understanding of artificial intelligence and its use in business applications. The course will provide an introductory overview of different mathematical and computational data analysis tools and machine learning techniques commonly used in artificial intelligence. Focus will be on case studies and applications that demonstrate how artificial intelligence can augment current business operations.
This course focuses on the use of business tools to visualize data and create reports to aid in business decisions, advance arguments with data, and distill analyses for consumption by non-analysts. This course assumes knowledge from OIM 350 including SQL query construction and basic Tableau and Excel usage. Students will extend their knowledge of Tableau for visualization and dashboard creation, as well as alternative software solutions including Microsoft PowerBI. This course focuses on experiential, hands-on learning in a group setting.
This course provides an introduction to business intelligence and analytics, 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 models and data retrieval, thus this course will review logical data models for both relational database systems and data warehouses. Students will learn to extract and manipulate data from these systems using Structured Query Language (SQL).
This course provides an introduction to business intelligence and analytics, 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 models and data retrieval, thus this course will review logical data models for both relational database systems and data warehouses. Students will learn to extract and manipulate data from these systems using Structured Query Language (SQL).
This course provides an introduction to business intelligence and analytics, 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 models and data retrieval, thus this course will review logical data models for both relational database systems and data warehouses. Students will learn to extract and manipulate data from these systems using Structured Query Language (SQL).