Data Analytics and Artificial Intelligence (5 cr)

Objective

After completing the course, the student is aware of the importance of knowledge-based management and is able to apply knowledge-based management in the development of business and organizational operations. The student knows the basics of artificial intelligence and data analytics. The student understands the challenges that data analytics can bring added value or solutions to, and how data analytics can be used to improve the predictability of business and organizational operations and increase productivity. The student knows the steps of developing a company's data strategy.

Content

The course consists of two parts: Basics of Artificial Intelligence (2 cr) and Data Analytics and Business Intelligence (3 cr). The course is completed completely independently online and does not include time-bound contact teaching.

The main content areas of the course are
-Knowledge-based management
-Basics of artificial intelligence
-Basics of data analytics
-Using artificial intelligence, data analytics and Business Intelligence in business
-Data strategy elements and creation

Evaluation scale

0 - 5

Assessment criteria, approved/failed

The course applies either numerical assessment (0-5) or two-stage assessment (passed / failed). The assessment scale is announced at the beginning of the course. Completion of the course requires passing both parts, the basics of artificial intelligence (2 cr) and data analytics and BI (3 cr).

The Basics of Artificial Intelligence (2 cr) section is passed when at least 90% of the tasks have been completed and the score achieved is at least 50% of the total number of points in the section.

Completing the data analytics and BI (3 cr) section requires passing all intermediate exams and the final assignment.

Prerequisites

No Prerequisites.

Further information

The assessment scale of the course is either numerical (0-5) or two-stage (Pass / Fail). The assessment scale is announced at the beginning of the course.