Course AMI295

Business Intelligence

7.5 Credits
Second Cycle
To Syllabus

Starts week 13, 2024

The course provides an introduction to Business Intelligence, analytics and decision support. It shows how problems in business can be solved by collecting business data and converting these into data warehouse form. Data warehousing, together with data integration, extraction and transformation (ETL), will be presented. Data mining tools, such as classification, clustering and association rule, will be covered in the course. There will be study of predictive models, such as neural networks. The course will also cover text analytics such as text mining, sentiment analysis and web mining. Automated decision systems and expert systems will form part of this course. Knowledge management will also be presented.
Starts and ends:
week 13, 2024 - week 22, 2024
Study Rate:
50%
Location:
Borlänge
Time of Day:
Day
Teaching form:
Normal
Language:
English
Other:
Only for Exchange Students (Erasmus)
Entry Qualifications :
  • Bachelor’s degree in Statistics, Economics, Business Administration, Computer Science, Information Science or Informatics comprising at least 180 credits and English 6
Application Code:
HDA-V3HKG
Main field of study:
Literature List

Literature lists are published at the latest one month ahead of the course start date.

To Literature List
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Course room in Learn

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Course Coordinator
Hasan Fleyeh