Introduction to Big Data AnalyticsLaajuus (5 cr)

Objective

After completing this course student knows the concept of big data, basic capabilities of big data and data science methods, is familiar with the storage, retrieval, processing and analysing big data and analysis tools.

Content

• Big data and analytical concepts
• Acquiring, storing and protecting data
• Big data queries
• Big data analysis

Assessment criteria, satisfactory (1)

The student
• has achieved the objectives of the course
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.

Assessment criteria, good (3)

The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in learning and working life situations
• understands the importance of expertise in the ICT field and is able to analyse their own expertise.

Assessment criteria, excellent (5)

The student
• has achieved the objectives of the course with excellent marks
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in learning and working life situations
• is able to analyse expertise in the ICT field and their own development towards expertise.

Assessment criteria, approved/failed

The student
• has achieved the objectives of the course
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.