Advanced Methods of Data Processing (5 cr)
Code: TT00CC57-3006
General information
- Enrollment
-
02.12.2025 - 31.12.2025
Registration for introductions has not started yet.
- Timing
-
01.01.2026 - 31.07.2026
The implementation has not yet started.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Blended learning
- Unit
- Teknologia
- Teaching languages
- Finnish
- Degree programmes
- Bachelor’s Degree in Information and Communication Technology
- Teachers
- OPE_Tieto_ja_viestintätekniikka OPE_Tieto_ja_viestintätekniikka
- Groups
-
TTM25SAITTM25SAI
- Course
- TT00CC57
Evaluation scale
0 - 5
Objective
The goal of the course is to get to know the advanced methods of data processing, using the python libraries NumPy, Pandas, and Matplotlib. The course covers the calculation of data characteristics, data distributions, data visualization and the use of regular expressions (regex). The course also introduces data clustering.
Using these methods, the course creates a data processing chain (pipeline), which is used to perform feature engineering from the data.
Assessment criteria, satisfactory (1)
The course consists of several exercises. At least 50% of the course's practice points must be accumulated for grade 1.
Assessment criteria, excellent (5)
The course consists of several exercises. At least 92% of the course's practice points must be accumulated for a grade of 5.
Qualifications
Python programming
Modern software development
Algebra