| 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 |
satisfactory (1-2) I program simple applications with SQL and Python. I understand the basics of machine learning and neural networks but I'm not capable of solving problems myself. good (3-4) I can use SQL and/or noSQL databases with Python to solve simple to intermediate level machine learning problems. I have a basic understanding of how artificial neural networks work. excellent (5) I use SQL and noSQL databases with Python fluently. I can solve intermediate to hard machine learning problems. I can formulate my own machine learning and articial neural network applications. . |
| Assessment Frameworks | Not applicable |
| Further Information | - |
| Responsible persons | Not applicable |
| Links | Not applicable |