Opinto-opas
Opinto-opas
Vuonna 2022 alkavat ja sitä aiemmat koulutukset
Savonian uuden opinto-oppaan (2023 ja tämän jälkeen alkavat koulutukset) löydät täältä.
| Basis of Education | Competence Standards | Structure of Studies | Development of Expertise | Methods and implementation | Course Table |
EF21SP Bachelor Degree Programme in Information Technology (Internet of Things)
Course Description
| Code | 4 EFS8040 |
| Name | Business Intelligence |
| Credits | 5 cr |
| Credits in Foreign Language | 5 cr |
| 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 |
| Requirements | Assignments. |
| Grading Scale | 0 - 5 |
| Course material | Material given in Moodle course. |
| Prerequisites | |
| Other considerations | |
| Contact | Vanhanen Mika |
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