Data Analysis and Programming develops the programming and data-analysis foundation required for the IEM pre-MSc program.
| Course | Data Analysis and Programming |
|---|---|
| Course code | 202300167 |
| Study load | 3 EC |
| Level | Pre-MSc |
| Role | Lecturer and coordinator |
| Most recent confirmed listing | 2025–2026 |
Course content
The course materials cover:
- algorithm development and Python fundamentals;
- variables, operators, functions, conditionals, loops, and data structures;
- packages, files, debugging, testing, and code organization;
- data analysis and visualization;
- version control and GitHub Classroom;
- applied programming assignments.
The materials emphasize executable examples, systematic debugging, and the ability to explain and assess a computational solution.
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