Program Overview

Program Overview

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Program Details

Business Intelligence from Web Data Analytics and Data Mining using R and AI

This course provides an introduction to the 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 extracting actionable information from this data.

Course Topics

• 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

Admission Requirements

• Course Specific: To apply for the course, students 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 their home university
  • Freemovers: documentation for English Language proficiency

Lecturer

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

Course Details

• Dates: Term 1: July 2 - July
• Level: Bachelor's level - 5 ECTS
• Exam Date: July 22 at 9am - 1pm (CEST)
• Exam Form: Written 4-hour online exam
• Venue: Campus Aarhus

Fees

• Exchange students: No Fee
• Freemovers, EU/EEA: 352 EUR
• Freemovers, NON-EU/EEA: 744 EUR
• Note: Books, course materials, social program, and housing are not included in the fee.

Additional Information

• The course is part of AU Summer University.
• For more detailed information about the course, including exam details and full course description, please refer to the course catalogue.
• The use of a computer and basic computer knowledge is required for this course.