Business IntelligenceLaajuus (5 cr)
Code: 4_EFS8040
Credits
5 op
Teaching language
- English
Learning objectives
Student is able to analyze and visualize data collected with some tool like Microsoft BI tools, IBM Watson analytics or Big Data Hadoop tools. Student is able to combine data from many sources. Student knows how to turn data into nice visualized reports that can be used to make business decisions. Students are able to use artificial intelligence and deep learning methods to make analysis and decisions of the industrial or digital health process.
Content
Alternative content:
Microsoft Excel Power tools, Microsoft Power BI, Basics of DAX language.
IBM Watson analytics tool
Big Data analytic with Hadoop
Decision making in business, Digital Health and industrial processes:
Artificial Intelligense decision making
Deep learning procedures
Materials
Material given in Moodle course.
Enrollment
01.08.2024 - 15.09.2024
Timing
01.08.2024 - 22.12.2024
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Seats
0 - 40
Degree programmes
- Degree Programme in Internet of Things
Teachers
- Mika Vanhanen
Student groups
-
EF21SPBachelor Degree Programme in Information Technology IOT
Teaching methods
Student is able to analyze and visualize data collected with some tool like Microsoft BI tool. Student is able to combine data from many sources. Student knows how to turn data into nice visualized reports that can be used to make business decisions.
Student workload
56 hours lessons, including 2 exams
79 hours independent work of student
Materials
Material given in Moodle course.
Manuals of used programs.
Enrollment
01.08.2023 - 15.09.2023
Timing
04.09.2023 - 20.12.2023
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Seats
0 - 40
Teachers
- Mika Vanhanen
Student groups
-
EF20SPBachelor Degree Programme in Information Technology IOT
Teaching methods
Student is able to analyze and visualize data collected with some tool like Microsoft BI tool. Student is able to combine data from many sources. Student knows how to turn data into nice visualized reports that can be used to make business decisions.
Student workload
56 hours lessons
79 hours independed work of student
Materials
Material given in Moodle course.
Manuals of used programs.
Further information
https://moodle.savonia.fi/course/view.php?id=17679