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Business Intelligence from Web Data Analytics and Data Mining

The purpose of this course is to introduce the business student to the rapidly evolving area of business intelligence. The course is designed to develop knowledge in business intelligence for organizations. The course is an overview of the business intelligence process from data collection, to data analysis, to the realization of business intelligence. It focuses on concepts and methods associated with data collection including web analytics and open data, data analysis including social network methods, neural networks, and decision trees.  

Find full course description in the course catalogue.    

Exam

The grade for the course consists of two parts:

  • Coursework counting app. 40 %
  • 3-hour written exam counting app. 60 %

The written exam is online and presence in Aarhus is not nescessary. 

Admission Requirements

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.  

General:

Exchange students: nomination from your home university

Freemovers: documentation for English Langauge proficiency

You can read more about admission here

Lecturer

Hirotoshi Takeda

hirotoshi.takeda@maine.edu

Academic profile

 

Hirotoshi Takeda is Assistant Professor of Business Analytics and Information Systems at University of Southern Maine, USA.