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Module: Data Analytics
| Study level | Masters | |
| ECTS credits | 3 | |
| Study forms | Hybrid or fully online | |
| Course aims | ADD | |
| Pre-requirements | Has some understanding about IoT (passed module “Introduction to IoT”) | |
| Learning outcomes | After completing this course, the student: - ADD - ADD - ADD - ADD |
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| Topics | IoT Data Analysis Data products development Data preparation for data analysis Regression models Clustering models Classification models Introduction to time series analysis Hints for further readings on AI |
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| Type of assessment | Prerequisite of a positive grade is a positive evaluation of course topics and presentation of practical work results with required documentation | |
| Blended learning | ADD | |
| References to literature | 1. Book 1 2. Book 2 |
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| Lab equipment | ||
| Virtual lab | ||
| MOOC course | ||
