Curricula

Curriculum Table
Competences
Assessment Framework
General Information

Description


KA00EH69 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 Not applicable
Responsible persons Not applicable
Links Not applicable

Implementations


Show old implementations
  • 15.09.2023 - 10.03.2024 (KA00EH69-3001 | DPM24KYTEKN, DPM24KYTIK)
  • 18.01.2024 - 29.02.2024 (KA00EH69-3002 | DPD24SYTEKN, DPD24SYTIK)
20.5.2024 08:49:30