SYSEN 5550 - Data Analytics as a Foundation of Systems Engineering Leadership

Fall. 3 credits. Student option grading.

Prerequisite: CS 1110, ORIE 3500 or SYSEN 5200.

F. Alkaabneh.

This course provides students the opportunity to learn data analytics through the lens of systems thinking. Specifically, we will study a systematic approach of leading and implementing data analytics projects from envisioning the problem, applying data science techniques, communicating the outcomes to stakeholders and to finally deploying the results. Main course topics are descriptive analytics, predictive analytics, and perspective analytics. The course includes a final project to give students experience in the kind of work that data analytics leaders might perform in industry, or at a government or nonprofit agency.

Outcome 1: Apply data analytics to provide new insights from raw data allowing decision makers to make decisions with confidence.

Outcome 2: Lead data analytics project across multiple teams in an organization.

Outcome 3: Assess different data analytics techniques to tackle a given problem.