| ID00CS54 | Data Storage and Data Analysis (5 cr) |
| Prerequisites | Previous courses of Degree Programme in Information Technology or equivalent skills. |
| Objectives | The student can utilize typical data storage formats and databases suitable for IoT applications. The student recognizes programming languages suitable for data mining. The student understands the basic theories of statistical analysis and is able to use machine learning platforms and tools. |
| Content | Data formats, SQL and noSQL databases. Programming languages and tools suitable for data analysis. Utilization of statistical methods for collected and stored data. Basics of machine learning. |
| Recommended optional programme components | If necessary, the student advisor will recommend optional programme components for each student based on their individual study plan. |
| Accomplishment methods | Not applicable |
| Execution methods | Not applicable |
| Materials | Not applicable |
| Literature | Not applicable |
| Evaluation Criteria | 0-5 |
| Evaluation Criteria | |
| Assessment Frameworks | Assessment framework |
| Further Information | Not applicable |
| Responsible persons | Not applicable |
| Links | Assessment framework |