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Data science

Individual course

Max amount of FITech students: 100

The course serves as an introduction to the topic of data science and related topics such as machine learning. You will be introduced to data science methods and tools to find interesting information from data.

Specific topics on the course include

  • processing of digital signals such as speech and images
  • statistical estimation of parametric distributions
  • classification
  • prediction
  • clustering
  • pattern mining
  • network analysis for developing search engines for hypertext collections such as the web.

After the course, you can describe how natural data such as images, natural language, speech and time series measurements can be represented as data in digital form. You can apply elementary statistical and algorithmic methods to process the digital data to yield insights to the data generating phenomenon. You will understand what processes constitute the data science pipeline in the analysis, starting from natural data and ending with actionable results.

NB! The course is online except for an exam organised in Aalto University campus. The lectures are streamed online.

More information on Aalto University’s WebOodi page.

Further information about the studies

Aalto University
FITech ICT contact person

Contact person for applications

FITech
Pilvi Lempiäinen , Service designer
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Category:
ICT Studies
Topics:
AI and machine learning,
Data analytics
Course code:
CS-C3160
Credits:
5 ECTS
Teaching period:
28.10.–16.12.2019
Application deadline:
21.10.2019
Host university:
Aalto University
Study is open for:
Adult learner,
Degree student
Level of studies:
Advanced
Teaching methods:
Blended
Language:
English
General prerequisites:
Skills needed on the course are taught on introductory courses in mathematics, statistics and programming. Specifically, matrix algebra, derivatives of functions and statistical distributions will be needed on this course.