Study Guide

Objectives (course unit)

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 knows how to collect data from different data sources and process data for analysis and utilization of artificial intelligence.

Content (course unit)

Data collection and storage techniques. Data sources, data combining and processing methods. Collecting and preparing data for further action. Examining different data collection and processing scenarios.

Assessment criteria, satisfactory (1-2) (course unit)

The student knows some data collection and storage techniques. The student is able to use some data combining and processing method in the preparation. The student is able to design a data collection and processing scenario.

Assessment criteria, good (3-4) (course unit)

The student knows the most commonly used data collection and storage techniques. The student can use the most common data combining and processing methods in the preparation of data. The student is able to design various data collection and processing scenarios.

Assessment criteria, excellent (5) (course unit)

The student is familiar with various data collection and storage techniques. The student is able to use various methods of data combining and processing in the preparation of data. The student will be able to design various data collection and processing scenarios.

Assessment scale

0-5