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Robust intelligent systems

Specialization

During this module of methods and technologies for robust intelligent systems the student will learn theoretical concepts of machine learning algorithms and methods for data classification, clustering and projection. The student also learns methods for fuzzy logic, neural networks, soft computing, evolutionary algorithms and their applicability to energy technology applications in particular.

The student gets familiar with concepts of cryptography, types of cyber security threats in distributed systems and IoT, and to identify weak points and protect typical embedded systems.

In addition, the student can choose a course with a learning outcome of

  1. being able to select sensors for control applications,
  2. learning about smart IT devices of electrical engineering or
  3. gaining deeper knowledge of the tools for cyber security management.

In the module, there are three (3) compulsory courses:

Machine learning (ICAT3120), 5 ECTS
Artificial intelligence in energy technology (ICAT2090), 5 ECTS
Security of embedded and distributed systems (ICAT3160), 7 ECTS

Student chooses one of the following courses to strengthen their competence:

Energy technology ICT (ICATC2030), 5 ECTS
Management of cyber security (TITE3370), 5 ECTS

NB! Some courses have limits on the amount of FITech students. Persons without a valid study right to a Finnish university have preference to those courses.

Further information about the studies

University of Vaasa
Maarit Välisuo , Project manager
maarit.valisuo(at)univaasa.fi

Contact person for applications

FITech
Pilvi Lempiäinen , Service designer
pilvi.lempiainen(at)fitech.io
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Category:
ICT Studies
Topic:
AI and machine learning
Credits:
5–22 ECTS
Host university:
University of Vaasa
Study is open for:
Adult learner,
Degree student
Teaching methods:
Blended,
Contact,
Online
Place of contact learning:
Vaasa
Language:
English
Study suitable for:
Developers