This course provides an introduction to business intelligence process, including data collection, data exploration, data mining, data analysis, and model evaluation. It is designed to familiarize students with data collection, storage, analysis, and gleaming actionable information from this data. The course focuses on building the skills and competence of students by covering topics such as web data collection, open data, web analytics, data modeling, data mining development process, data preprocessing and exploration, analysis such as regression, k-nearest neighbor, decision trees, neural networks, clustering, and social network analysis.
Exam info and full course description can be found in the course catalogue.
Course Specific:
To apply for the course you must either be enrolled in a bachelor's degree, have a bachelor's degree or have passed a qualifying entry examination.
The use of a computer and basic computer knowledge is required for this course.
General:
Exchange students: nomination from your home university
Freemovers: documentation for English Language proficiency
You can read more about admission here.
Hirotoshi Takeda has pursued studies at the University of California, Irvine, the Georgia Institute of Technology, and Southern Methodist University. He holds dual doctorates in Management from Université Paris Dauphine and in Computer Information Systems from Georgia State University. He is currently an Assistant Professor of Business Analytics and Information Systems at the University of Southern Maine, USA.
