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Machine learning for mobile and pervasive systems

Individual course

Max amount of FITech students: 25

During this course, students will learn good practices for machine learning with noisy and inaccurate data.

Course contents

Feature extraction/feature subset selection, handling high dimensional data, ANN + deep learning, probabilistic graphical models, topic models as well as unsupervised learning and clustering, anomaly detection and recommender systems.

Course material

Lecture handouts/slides.

Teaching schedule

Lectures on Wednesdays & Fridays at 14–16.

Completion methods

Examination, assignments and group works.

More information in the Aalto University study guide.

You can get a digital badge after completing this course.

Responsible teacher

Aalto University
Stephan Sigg

Contact person for applications

FITech Network University
Fanny Qvickström, Student services specialist
Start here
Start here
Category:
ICT Studies
Topics:
5G technology,
AI and machine learning
Course code:
ELEC-E7260
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
12.1.–13.4.2022
Application deadline:
Application period has ended
Host university:
Aalto University
Study is open for:
Adult learner
Teaching methods:
Contact
Place of contact learning:
Espoo
Language:
English
General prerequisites:
Recommended: skilled in programming.
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