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Towards data mining

Individual course

Max amount of FITech students: 200

Persons without a valid study right to a Finnish university have preference to this course.

In this course, you will learn the fundamental skills for data collection and preprocessing, enabling you to succeed in your data mining tasks.

Course contents

Amount and quality of data plays a major role in modern machine learning applications. In this course the students are familiarised with different concepts concerning data such as: data gathering, data preprocessing and normalisation, combining data from multiple sources, missing data and outliers.

Learning outcomes

After completing this course student can

  • recognise data types and perform required pre-processing steps before further analysis
  • design and implement a data collection process
  • combine data from different sources
  • normalise and transform data, and handle missing or incorrect values
  • ensure generalisability of the results.

Course material

Lecture material, including topical videos, exercise materials and quizzes in Moodle. R and Matlab (available in remote desktop).

Teaching methods

The course is conducted through self-paced online learning during the course period 1.10-15.6. All assignments has to be finished before the course ends.

Completion methods

The course is completed by passing the learning assignments. You need to notify the teacher when you are ready to receive credits from your attainments.

More information in the University of Oulu study guide.

You can get a digital badge after completing this course.

datanlouhinta datan kokoaminen poikkeavat arvot esikäsittely koneoppiminen tekoäly machine learning artificial intelligence R-kieli R language

Responsible teacher

University of Oulu
Satu Tamminen

Further information about the course and studying

University of Oulu
FITech contact person Oulu

Contact person for applications

FITech Network University
Fanny Qvickström, Student services specialist
Application starts on 5.6.2024
Application starts on 5.6.2024
Topics:
AI and machine learning,
Data analytics,
Digitalisation
Course code:
521156S
Study credits:
3 ECTS
Price:
0 €
Course level:
Teaching period:
1.10.2024–15.6.2025 (flexible start)
Application start date:
05.06.2024
Application deadline:
30.4.2025
Host university:
University of Oulu
Who can apply:
Adult learner,
Degree student
Teaching method:
Online
Teaching language:
English
General prerequisites:
Basics of statistical mathematics. Basics of artificial intelligence and machine learning are beneficial.
Course suitable for:
People involved in fields related to data mining, artificial intelligence or machine learning.
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This course is included in the following themes