The role of databases in the modern enterprise. Design and development of database systems. Applications in accounting, marketing, operations, and human resource systems.
Searching for customers and suppliers. Serving customers electronically. Handling electronic transactions. Business model innovations in e-commerce. Less focused on the IT side, more on the business side.
Explore software infrastructure of the firm. How does that infrastructure support the business' processes? Includes an ERP simulation game. Effective management of technology to gain competitive advantage. Involves use of SAP.
Learn to identify the key issues in a technology management problem. Understand the role of the IT organization within a corporate setting. Apply what you have learned in MIS and other core classes to contemporary information technology management projects. Develop alternative solutions for your project and understand the tradeoffs involved in each solution.
Analyze and make decisions around emerging technologies. Apply techniques for scanning the horizon for emerging technologies. Predict which technologies will be successful and why. Describe environments in which technologies emerge.
This course teaches the scientific process of transforming data into insights for making better business decisions. It covers the methodologies, algorithms, issues, and challenges related to analyzing business data. It will illustrate the processes of big data analytics by allowing students to apply business analytics algorithms and methodologies to real-world business datasets from finance, marketing, and operations.
Learn project management concepts and understand tools of project selection, planning and tracking. Understand special considerations for managing projects with outsourcing/offshoring settings. Investigate new technologies related to project management. Understand how to use Microsoft Project and other tools to manage projects.
Understand the principles and practical elements of BI and analytics by comparing different approaches and analyzing emerging trends. Build a solid BI and analytics architecture and roadmap. Relate BI and analytics to data warehousing, ERP, CRM, and e-commerce. Understand potential ethical dilemmas related to applications of BI.