Course title
Introduction to Big Data
Lecturer
Aleksandrs Timofejevs, Konstantīns Beņkovskis
Duration
5 weeks (5x1.5h)
ECTS Credit Points
1.5
Course Prerequisites
None
Introduction
(Course objectives)
The objective of the course is to introduce students to the basic concepts
related to capturing, storing, managing and analyzing Big Data. Students
will become familiar with historical, technological, economic and
organizational aspects of this rapidly developing field of knowledge.
Content
Seminars will cover the following topics:
- The rise of Big Data,
- Value creation through use of Big Data (case studies),
- Technologies relevant to accumulation and processing of data,
- Computational techniques,
- Data visualization techniques.
Hands-on workshops will allow students to perform basic analysis and data
visualization.
Structure and Format
(Lectures, seminars,
etc.)
The course will take place in the form of 2 seminars and 3 hands-on
workshops.
Course Material
(Literature)
Students will receive a list of suggested reading and access to software tools
and data sets for practical exercises.
Learning Outcomes
On successful completion of the course students will:
- Understand the concepts encompassed by the term Big Data.
- Become familiar with key historical developments and trends in the
domain.
- Gain practical experience working with large data sets by
performing measure calculations by multiple dimensions and
producing interactive visualizations.
Requirements and
Grading
The students are expected to attend all class meetings and participate in the
class discussions. That will account for 30% of the final course grade.
