Advanced Data Analysis

Catalog description

The aim of this course is to provide the students with experience in applying mathematical models, cutting-edge algorithms, and large-scale computing resources to the analysis of big data in real-world settings. Subjects to be covered will be drawn from areas such as time series analysis, mathematical modeling, formulation of algorithms, and natural language processing. Students will learn to use MATLAB programming language or an equivalent platform to formulate models, evaluate data, uncover significant factors, estimate parameter values, and predict outcome values required for business decisions. Each lecture will focus on a different mathematical model and problem solving technique, and each lecture will be separated into two parts. In the first part, students will be presented with the theory and framework of the model and an overview of where these models are appropriate and how to apply these models to business applications. The second part of the class will focus on a case study and an application of the model using real-world data. Written projects and homework assignments will prepare students for clear communication of their analysis in professional settings as well as reinforce the classroom examples.