Opinto-opas

Osaamistavoitteet

The student knows what is meant by data collected for data analysis and artificial intelligence. The student knows the techniques used to collect data and knows how to solve challenges related to data collection and processing. The student is able to collect and combine data from various sources and prepare the data in correct format for further exploitation. The student can create processing pipelines for data to enable automated preparation process.

Sisältö

- Data sources and data collection techniques
- Data combination and processing methods
- Data collection, conversions and preparation
- Pipeline creation and automation

Arviointikriteerit, tyydyttävä (1-2)

The student knows about data sources and can use at least one data collection technique. The student can implement a simple data combination and can use an appropriate data processing method for the data. The student can implement a simple data collection, data conversion and data preparation for a data project. The student can use a given pipeline example and automation methods for the given pipeline.

Arviointikriteerit, hyvä (3-4)

The student knows data sources and can use some data collection techniques. The student can implement a data combination and can use appropriate data processing methods for data. The student can implement a data collection, data conversion and data preparation for a data project. The student can create and implement a pipeline and automation for the pipeline.

Arviointikriteerit, kiitettävä (5)

The student knows different data sources and can exploit comprehensively different data collection techniques. The student can implement complex data combinations and can use different data processing methods for data. The student can implement different data collections, data conversions and data preparations for different purposes. The student can create and implement independently pipelines and automation for the pipelines.