Robust intelligent systems

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:

Sensor and control technology (ICATC2010), 5 ECTS
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.

Courses included in the programme:

= Contact learning
= Online learning
= Blended learning (online & contact learning)
University of Vaasa: Security of embedded and distributed systems, 7 ECTS. 30.9.–4.12.2019.

Apply before Sep 23, 2019

Course code: ICAT3160

Max amount of FITech students: 15

Course level: Advanced

Language: English

Prerequisites: It is highly recommended to know embedded system architecture and embedded C programming.

On this course, the student will learn about the different concepts of cryptography and what types of cyber security threats exist in distributed systems. The course will also focus on identifying the weak points of embedded systems, how embedded systems are usually attacked (with practical examples), how to protect embedded systems, how to to apply cryptographic algorithms and the concept of ”trusted computing”.

More information on University of Vaasa’s WebOodi page.

Responsible teacher: Mohammed Elmusrati (mohammed.elmusrati(at)univaasa.fi)
Other teachers: Tobias Glocker (tobias.glocker(at)univaasa.fi)

University of Vaasa: Energy technology ICT, 5 ECTS. 28.10.–10.12.2019.

Apply before Oct 21, 2019

Course code: ICATC2030

Max amount of FITech students: 15

Course level: Intermediate

Language: English

Prerequisites: Courses Introduction to Programming and/or Physical Principles of Energy Technology or equivalent information.

This course contains learning the concept of smart grid as well as the principles and communication methods of IT devices used in electrical distribution, protection and control.

Content:

  • Smart grid, ICT systems of electrical distribution and invoicing.
  • Smart IT devices of electrical engineering, such as the protection relay and the frequency converter.
  • Communication protocols used in distributed energy production.
  • Basic principles of the standard IEC61850.
  • New services, which are made possible by smart grids.

Responsible teacher: Timo Mantere (timo.mantere(at)univaasa.fi)

University of Vaasa: Artificial intelligence in energy technology, 5 ECTS. 9.1.–17.3.2020.

Apply before Dec 16, 2019

Course code: ICAT2090

Max amount of FITech students: 15

Course level: Intermediate

Language: English or Finnish

Prerequisites: It is highly recommended to know basics of programming. Also some knowledge on object-oriented programming is recommended.

On this course, students will learn the principles of fuzzy logic, rules and control, evolutionary computation, multiparameter and global optimisation as well as basics of neural networks. The idea is to learn how to apply these theoretical methods to energy applications. Content also includes different soft computing methods and designing, implementing and testing simple soft computing applications.

More information on University of Vaasa’s WebOodi page.

Responsible teacher: Jarmo Alander (jarmo.alander(at)univaasa.fi)

University of Vaasa: Sensor and control technology, 5 ECTS. 8.1.–15.4.2020.

Apply before Dec 16, 2019

Course code: ICATC2010

Max amount of FITech students: 15

Course level: Intermediate

Language: English

Prerequisites: Courses Sulautettujen järjestelmien perusteet, Ohjelmistotestaus or equivalent information.

After completing the course, the student are able to

  • describe and analyse dynamic control systems and feedback control mathematically
  • describe the main principles and features of basic control algorithms
  • select sensors for control applications
  • learn about the importance of control technology especially in the energy industry
  • design and implement a dynamic control system.

More information on University of Vaasa’s WebOodi page.

Responsible teacher: Timo Mantere (timo.mantere(at)univaasa.fi)
Other teachers: Santiago Chavez, Jukka Matila, Janne Koljonen

University of Vaasa: Machine learning, 5 ECTS. 20.1.–12.3.2020.

Apply before Jan 13, 2020

Course code: ICAT3120

Max amount of FITech students: 15

Course level: Advanced

Language: English

Prerequisites: It is highly recommended to know fundamentals of probability theory and university level calculus.

NB! The course is organised once a year in spring. However, it is possible to arrange the course also as self-study with few hours of online meetings. For self-studying, the course could be arranged also in autumn.

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.

It is important that the student has good mathematical background as well as some programming skills (in any programming language) in order to to maximise the gained knowledge.

More information on University of Vaasa’s WebOodi page.

Responsible teacher: Mohammed Elmusrati (mohammed.elmusrati(at)univaasa.fi)

University of Vaasa: Management of cyber security, 5 ECTS. Spring 2021.

Course code: TITE3370

Course level: Advanced

Language: English

The course is organised according to lectures’ schedule. Attendance is not mandatory since lectures are also recorded.

This course targets advanced knowledge about cyber security and its domains.

After the course, the student recognises the need for cybersecurity measures and has the knowledge of the techniques and methods to bring them into place. The student understands about the information assurance fundamentals (CIA +  Parker + ISO), cryptography techniques, operating systems and application security, threats, vulnerabilities and attacks, security models, security analysis and design, risk management and risk mitigation, physical security, compliance, standards, policies and best practices, cybersecurity frameworks, and finally the main authority organisations.

On the course, there will be co-operation with Wärtsilä, ABB, VEO, Elisa Santa Monica, Verizon and others.

More information on University of Vaasa’s WebOodi page.

Responsible teacher: Tero Vartiainen (tero.vartiainen(at)univaasa.fi)
Other teachers: Bahaa Eltahawy, Duong Dang

Further information:

Project manager Maarit Välisuo (maarit.valisuo(at)univaasa.fi)

Contact person, applications:

Pilvi Lempiäinen (pilvi.lempiainen(at)fitech.io)

Type of study unit

Set of courses

Credits

5–22 ECTS

Teaching semester

2019–2020

Host university

University of Vaasa

Open for degree student

Yes

Open for non-student

Yes

Level of studies

Intermediate & advanced

Teaching methods

Contact or online learning

Place of contact learning

Vaasa

Programme suitable for

Developers

Language

English

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