Curricula
Description
KA00EH56 | Introduction to Programming (5 cr) |
Prerequisites | Not applicable |
Objectives | The student recognizes programming languages suitable for data analytics. The student understands the basic theories of statistical analysis and is able to use machine learning platforms and tools. |
Content | Introduction to programming, Python, Pandas, machine learning and data visualization. |
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 | Approved/Failed |
Evaluation Criteria |
pass/fail The student can program applications with some high level programming language. The student can utilize statistical analysis methods and is able to use machine learning platforms and tools. |
Assessment Frameworks | Not applicable |
Further Information | Application period for open university: 1.6 - 8.7 and 31.7 - |
Responsible persons | Not applicable |
Links | Not applicable |
Implementations
No implementations.
20.5.2024 12:51:51