| KA00EH66 | Data Analytics and Mathematics (5 cr) |
| Prerequisites | Not applicable |
| Objectives | The student is familiar with the most essential data analysis programming languages. The student can use common data analysis software libraries and tools. The student can identify the needs for using data in decision making. The student has understanding on the field of data analytics and its sub-fields. The student understands the basic ideas and techniques used to analyze data to enhance productivity and business gain. The student knows fundamentals of linear algebra, calculus, and statistics, can derive solutions both analytically and using software tools, and can visualize mathematics using software libraries for graphics. The student understands the mathematics of data analysis software. |
| Content | Introduction to programming Introduction to data analysis Introduction to mathematics |
| 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 | Not applicable |
| Evaluation Criteria |
satisfactory (1-2) I know the fundamentals of programming and I can carry out basic programming tasks. I understand the nature of different data analysis methods and and I can apply various tools on my data analysis. I can apply mathematical rules to my programs and understand the nature of them. good (3-4) I can improve and develop data analysis software and integrate mathematical models to my software. I am familiar with analytical and numerical solutions on mathematical problems. excellent (5) I can develop complicated mathematical models and apply them using the software tools. I solve complicated mathematical problems using both analytical and numerical tools |
| Assessment Frameworks | Not applicable |
| Further Information | Not applicable |
| Responsible persons | Not applicable |
| Links | Not applicable |