Advanced Methods of Data Processing (5 cr)
Code: TT00CC57-3004
General information
Enrollment
30.12.2024 - 26.01.2025
Timing
01.01.2025 - 31.07.2025
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Teachers
- Pekka Huttunen
Groups
-
TTM24SAITTM24SAI
- 09.01.2025 17:00 - 19:00, Aloitusluento_Datan käsittelyn kehittyneet menetelmät TT00CC57-3004
- 16.01.2025 17:00 - 18:00, Q&A_Datan käsittelyn kehittyneet menetelmät TT00CC57-3004
- 23.01.2025 17:00 - 18:00, Q&A Datan käsittelyn kehittyneet menetelmät TT00CC57-3004
- 30.01.2025 17:00 - 18:00, Q&A Datan käsittelyn kehittyneet menetelmät TT00CC57-3004
- 13.02.2025 17:00 - 18:00, Q&A Datan käsittelyn kehittyneet menetelmät TT00CC57-3004
- 27.02.2025 17:00 - 18:00, Q&A Datan käsittelyn kehittyneet menetelmät TT00CC57-3004
- 13.03.2025 17:00 - 19:00, Q&A_Datan käsittelyn kehittyneet menetelmät TT00CC57-3004
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.
Evaluation scale
0 - 5
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.
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.
Prerequisites
Python programming
Modern software development
Algebra