Big Data (5 cr)
Code: IT00CE06-3005
General information
Enrollment
02.07.2019
Timing
26.08.2019 - 31.12.2019
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
ICT ja tuotantotalous
Campus
Leiritie 1
Teaching languages
- English
Seats
0 - 40
Degree programmes
- Master's Degree Programme in Information Technology
Teachers
- Vesa Ollikainen
- Olli Hämäläinen
Teacher in charge
Ville Jääskeläinen
Groups
-
T1619S6Degree Programme in Information Technology ylempi
Objective
The target of the course is to provide understanding of the capabilities of big data in ICT business. The participants get hands-on experience in storage, retrieval, and analysis of big data
Content
• Big Data in ICT business: applicability, opportunities, models and processes, legal and ethical constraints.
• Acquisition and preprocessing of data, interfaces to data.
• Data management solutions (RDBMS, No-SQL, other data models), MapReduce and distribution of workload.
• Analysis of big data: data mining methods (association analysis, clustering, classification), text and web mining, analysis tools, visualization and communication of analysis outcomes.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may increase his/her knowledge in the given field and finally work in a suitable job position related to this field.
Assessment criteria, good (3)
The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply their knowledge in study and work situations.
Assessment criteria, excellent (5)
The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply their knowledge in study and work situations
Assessment criteria, approved/failed
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may increase his/her knowledge in the given field and finally work in a suitable job position related to this field.