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Big data processing and applications

Individual course

Max amounts of FITech students: 30

During this course, the student gets familiar with the concept of “Big data” and different phenomena related to it, including requirements and principles for data intensive systems and their implementation as well as benefits, risks and restrictions of available big data solutions.

Course topics include general introduction into big data, namely: big data fundamentals, data storage, batch and stream data processing, data analysis, privacy and security, big data use cases.

Upon completion of the course, the student

  • can identify real life cases where big data solutions are needed and design basic solutions to big data problems
  • is able to explain the big data phenomenon, its challenges and opportunities
  • is able to explain the requirements and common principles for data intensive systems design and implementation, and evaluate the benefits, risks and restrictions of available solutions
  • can explain the principles of big data management and processing technologies and utilise them on a basic level

Lecture slides and exercise material will be provided. Each lecture will include a reference list for recommended reading. Instructions to necessary installations will be given.

This course assesses students continuously by completion of exercises, seminar presentations and short reports on a selected topic (group work), and answering two quizzes during the course. To pass the course, it is enough to get 50 % of available points.

See the schedule for lectures and exercises here. This course doesn’t have an exam.

More info in University of Oulu’s WebOodi course page.

You can get a digital badge after completing this course.

data-analytiikka data-analyysi

Responsible teacher

University of Oulu
Ekaterina Gilman
ekaterina.gilman(at)oulu.fi

Contact person for applications

FITech
Pilvi Lempiäinen , Service designer
pilvi.lempiainen(at)fitech.io
Start the application process
Start the application process
Category:
ICT Studies
Topic:
Data analytics
Course code:
521283S
Credits:
5 ECTS
Level:
Teaching period:
9.3.–5.5.2020
Application deadline:
2.3.2020
Host university:
University of Oulu
Study is open for:
Adult learner,
Degree student
Teaching methods:
Contact
Place of contact learning:
Oulu
Language:
English
General prerequisites:
Suggested prequisite courses are "Towards data mining" and "Machine learning".
Study suitable for:
Students who have a bachelor degree in computer science (or similar) or background in data intensive systems.
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