Course Description – Structured framework and process for modeling and analyzing business decisions. Business decisions are frequently made difficult by the presence of uncertainty and complex interactions among key drivers of the decision. In today’s global environment the stakes of bad outcomes may be too high to justify learning by experience. Filled with in-depth insights and practical advice, this course covers the essential tools and techniques to improve your skills, such as: decision trees, influence diagrams, spreadsheet-based decision modeling, Monte Carlo simulation, demand forecasting, and methods to obtain and model decision-relevant data from subject matter experts in an unbiased manner.
The official prerequisites for this course are BUS 340 and BUS/ST 350, but we will accept a demonstrated background in Excel and databases and a statistics course equivalent to or greater than ST 350 (e.g., ST 305, 312, 370, 372). Interested students should email poole_scheduling@ncsu.edu and include their name, student ID, and the courses used to meet the prerequisites.
Important Note: This course is not intended for or appropriate for first year and sophomore students hoping to CODA into a Poole major, but rather would be a good option for junior and senior students looking to supplement their major/minor with additional data analytics coursework. Please reach out if you have questions.