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Machine learning

Individual course

Max amount of FITech students: 15

The main concepts as well as the different types of machine learning are covered on this course. The approach of this course is to cover machine learning from algorithmic point of view. The aim of this approach is to understand the theories/algorithms behind machine learning algorithms and how to select the best one for our specific problem, to know their limits, and even how to modify it to fit our specific problem.

This course is highly useful wherever there is data to be analysed. Hence, the application area is huge either in industry, factories, power plants, social science, business, finance, etc.

Course requirements:

Quizzes, exam and simulation projects. The course doesn’t have an exam.

More information on University of Vaasa’s WebOodi course page.

Responsible teacher

University of Vaasa
Mohammed Elmusrati
mohammed.elmusrati(at)univaasa.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:
AI and machine learning
Course code:
ICAT3120
Credits:
5 ECTS
Level:
Teaching period:
20.1.–12.3.2020
Application deadline:
13.1.2020
Host university:
University of Vaasa
Study is open for:
Adult learner,
Degree student
Teaching methods:
Contact
Place of contact learning:
Vaasa
Language:
English
General prerequisites:
It is highly recommended to know fundamentals of probability theory and university level calculus. It is important that the student has some programming skills (in any programming language) in order to to maximise the gained knowledge.
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