ISM 422Advanced Business Intelligence

In this course, students will design statistical experiments and analyze the results using modern statistical methods and software packages. Students will also explore the pitfalls of interpreting statistical arguments and conclusions, especially those involving big data and large data sets. This course will internalize the core set of practical and effective modelling techniques, machine learning algorithms, and sources of data to solve real world problems. Additionally, this course is designed as both a capstone senior project course and a preparation for data modelling competitions such as those presented on Kaggle.com
Level Undergraduate
Credits 3
Lab fee None
Pre-requisites ISM 301, ISM 302, ISM 320, ISM 331, ISM 420, ISM 421, Or Academic Program Chair approval, Senior Standing

Course offerings

Please contact the registrar for details on course availability.