Industrial internet

Today, the internet is also the Internet of things (IoT). Independent and controlled equipment connected to the internet is particularly useful in industrial applications where manufacturing, logistics and maintenance can be better managed and controlled.

Understanding the potential of the internet for industry requires a comprehensive understanding of new wireless technologies and digital solutions.

This module focuses on the design of IT solutions for the digitisation of the industry. On the courses, you will learn on new sensor technologies, software and system development, IoT and the analytics required to control and optimise industrial systems.

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 if not mentioned otherwise.

Courses included in the programme:

= Contact learning
= Online learning
= Blended learning (online & contact learning)
LUT University: Introduction to IoT-based systems (BL40A2010), 4 ECTS. 2.9.–18.10.2019.

Apply before Aug 21, 2019

The course is not available for degree students!

Max amount of FITech students: 60

Course level: Basic

Language: English

Course content:

  • Introduction to the IoT system
  • Basic concepts of probability and random variables
  • Definition of information and communication
  • Introduction to networks and their different topologies
  • The structure of awareness
  • Basics of queuing theory
  • Basics of game theory
  • Three-layer model of IoT-based systems
  • Problems with communication and information processing
  • Applications in cloud-based services and system platforms

After the course, you are able to:

  1. define information and communication
  2. differentiate the physical and symbolic realities
  3. work with the concept of structure of awareness
  4. characterise the internet of things (IoT) and cyber-physical systems
  5. model and analyse systems asconstituted by physical, information and decision-making layers

These skills are needed to built IoT systems for practical industrial applications.

Responsible teacher: Pedro Nardelli (Pedro.Juliano.Nardelli(at)lut.fi)

More information in LUT University’s WebOodi.

Åbo Akademi: Programming embedded systems (453502.0), 5 ECTS. 2.9.–25.10.2019.

Apply before Aug 21, 2019

Course level: Basic

The goal of the course is to familiarise the students with programming of embedded systems, software structures as well as tools and techniques for building embedded systems.

After completing the course the student will know

  • how to build small embedded systems, program in C on a low level, start up hardware, use error detection methods, and how to take limited resources into consideration.
  • how to build a small operating system for embedded systems
  • how to interface basic hardware components to software
  • basic program structures for embedded systems
  • a IDE of a typical microcontroller
  • booting methodologies for embedded systems
  • Linux as a embedded OS

Student can choose to study the course online or attend the lectures in Turku. The exam is organised in Turku or Vaasa.

More info on Åbo Akademi’s course page.

Schedule:

  • Weeks 36–43: Mondays at 10–12

Responsible teacher: Jerker Björkqvist (jerker.bjorkqvist(at)abo.fi)

Tampere University: Internet of things (PLA-62850), 5 ECTS. 21.10.–22.12.2019.

The course is organised in Finnish.

Opintojakson suoritettuaan opiskelija

  • osaa soveltaa osaamistaan löytääkseen yritykselle uusia IoT:n luomia liiketoimintamahdollisuuksia
  • kykenee arvioimaan, miten IoT-ratkaisut hyödyntävät yrityksen liiketoimintaa.
  • osaa analysoida, mitä tietotekniikan eri osa-alueisiin liittyviä tietoja ja taitoja IoT-projektin toteuttamisessa tarvitaan
  • osaa analysoida ja vertailla IoT-projektiin liittyviä erilaisia teknisiä toteutusvaihtoehtoja.

Suoritus pääsääntöisesti kirjatenttinä. Kurssikirjan sisältöä laajennetaan ja syvennetään verkkopohjaisella lisämateraalilla. Lisämateriaalit löytyvät kurssin Moodle-sivulta. Kurssi sisältää pakollisia harjoitustöitä. Tentti Exam-tenttinä. Kurssi mahdollista suorittaa etäopiskeluna, jota kurssin Moodle-toteutus tukee.

Vastuuopettaja: Marko Seppänen (marko.seppanen(at)tuni.fi)

Lisätietoja Tampereen yliopiston opinto-oppaassa.

Tampere University: Internet of things (TIE-52107), 5 ECTS. 7.1.–31.5.2020.

Prerequisites: Basic knowledge of programming in C/C++ and Python are recommended. Course TIE-02201 Ohjelmointi 2: Perusteet is advisable.

Course content:

  • Principles of wireless mesh sensor networks. Multi-hop routing.
  • Principles of Internet-of-Things, IoT platforms.
  • Monitoring, control, and positioning applications. Case studies and comparisons.
  • Practical implementation and use of large-scale IoTs and WSNs.

On the course, you will learn what are internet-of-things, wireless mesh sensor networks, and their applications. You will also acquire hands-on guided implementation of exercise IoT applications and own IoT application planning.

Responsible teacher: Teemu Laukkarinen (teemu.laukkarinen(at)tuni.fi)

More information in Tampere University’s study guide.

 

Åbo Akademi: Analytics for industrial internet (DT00BQ86), 5 ECTS. 2.9.–25.10.2019.

Apply before Aug 21, 2019

This course is organised in Finnish.

Course level: Advanced

Student can choose to study the course online or attend the lectures in Turku. The exam is organised in Turku or Vaasa.

More information to be announced on Åbo Akademi’s course page.

Schedule:

  • Weeks 36–43: Mondays at 15–17, Thursdays at 10–12

Responsible teacher: Jerker Björkqvist (jerker.bjorkqvist(at)abo.fi)

Åbo Akademi: Multidimensional sensing techniques (DT00BQ89), 5 ECTS. 2.9.–25.10.2019.

Apply before Aug 21, 2019

Course level: Advanced

Within this course we will explore the fundamentals of sensing techniques, including digital image processing, light detection and ranging (LIDAR), in the context of emerging technologies such as autonomous navigation.

Learning outcomes:

  1. Analyse the performance of active remote sensing techniques such as those using lidar and radar.
  2. Analyse the performance of passive remote sensing techniques such as those using digital image processing.
  3. Apply engineering knowledge and techniques to the design, assembly, and evaluation of multidimensional sensing instrumentation.

Student can choose to study the course online or attend the lectures in Turku. The exam is organised in Turku or Vaasa.

More info on Åbo Akademi’s course page.

Schedule:

  • Weeks 36–43: Mondays at 13–15, Tuesdays at 13–15

Responsible teacher: Sebastien Lafond (sebastien.lafond(at)abo.fi)

LUT University: Digital control design (BL40A1202), 6 ECTS. 2.9.–13.12.2019.

Apply before Aug 21, 2019

Max amount of FITech adult learners: 15

Max amount of degree students from other universities: 5

Course level: Advanced

Prerequisites: Knowledge in control systems and basics of digital control systems. Mathematical skills. Course Digital control, an introduction.

The teaching approach on this course is practical control design and implementation for different applications. The first half of the course introduces design of advanced control methods for different application. The application topics may change yearly.

In the second half of the course every student will design, program and test a controller using an industrial controller platform and a laboratory equipments.

The following topics are included: plant modelling, different state-space and transfer functions algorithms for SISO and MIMO systems, digital controller synthesis, system simulation, controller programming and testing.

Upon completion of the course students are able to design and implement a digital control system for industrial application independently.

The necessary skills are dynamic plant modeling, system design, control synthesis, system simulation and digital controller implementation in an industrial control platform. These skills are important when designing modern automation systems or any practical application where control have an important role.

More information in LUT University’s WebOodi.

Responsible teachers: Olli Pyrhönen (olli.pyrhonen(at)lut.fi), Niko Nevaranta (niko.nevaranta(at)lut.fi)

LUT University: Wireless communication systems (BL40A2020), 4 ECTS. 28.10.–13.12.2019.

Apply before Oct 16, 2019

Max amount of FITech adult learners: 55

Max amount of degree students from other universities: 5

Course level: Advanced

Prerequisites: Introduction to IoT-based systems, basic programming skills, signals and systems.

This course introduces the fundamental theories used in communication engineering.

After the course the student is able to design wireless communication systems by taking into account the modulation techniques and limitations in the data transmition rates and the data communication protocols. The student will be able to design/analyse simple wireless communication systems, including physical layer for analog and digital transmission (e.g. bandwidth, channel modeling, modulation, demodulation, bit-error rate, channel capacity, etc.)

The knowledge in this topic is important as most of the modern communication systems are utilising wireless data transmitting techniques.

Responsible teacher: Pedro Nardelli (Pedro.Juliano.Nardelli(at)lut.fi)

More info >>

Åbo Akademi: Real-time systems (453306.0), 5 ECTS. 28.10.–22.12.2019.

Apply before Oct 16, 2019

Course level: Advanced

Prerequisites: General basic IT knowledge, basic knowledge on computer architecture, computer network, system design, operating systems. Basic knowledge on programming (e.g. courses in C/C++ or Java programming).

Content:

  • Introduction to real-time systems
  • Static scheduling
  • Dynamic scheduling
  • Non-periodic jobs
  • Real-time operating systems

After a completed course the student has acquired the skills needed to analyse the real-time and resource constraints of a real-time system design to ascertain the consistency and schedulability of the system. The student is able to suggest changes to the specification or implementation strategy to ensure that the real-time constraints are satisfied. They are also able to design systems such that satisfy real-time requirements.

More info on Åbo Akademi’s course page.

Responsible teacher: Sebastien Lafond (sebastien.lafond(at)abo.fi)

Åbo Akademi: Grundkurs i signalbehandling (454300.0), 5 ECTS. 28.10.–22.12.2019.

Sända ansökan senast 16.10.2019

Kursnivå: Avancerad

Förkunskapskrav: Kursen Ingenjörsmatematik I (271009.0) eller motsvarande.

Kursinnehåll:

Analys av signaler i tids- och frekvensplanet, komprimeringsmetoder, Fouriertransformen av analoga och digatala signaler, z-transformen och överföringsoperatorn hos digitala filter, standardfilter utgående från given specifikation. Signalbehandlingsprogramvara (Matlab och/eller Octave).

Lärandemål:

Att ge grundkunskaper som krävs för att förstå och lösa enkla signalbehandllingsproblem samt för fortsatta studier i ämnet. Att kunna analysera signaler i tids- och frekvensplanet, förstå komprimeringsmetoder, bestämma en signals Fouriertransform, beräkna z-transformen och överföringsoperatorn hos digitala filter, konstruera standardfilter utgående från specifikationerna och använda signalbehandlingsprogramvara (Matlab och/eller Octave).

Studerande kan välja att studera kursen online eller delta i föreläsningar i Åbo. Examen organiseras i Åbo eller Vasa.

Tidtabell:

  • Veckor 44–51: tisdags kl. 15–17, onsdags kl. 10–12, torsdags kl. 13–15

Mer information >>

Lärare: Tom Fredman (tom.fredman(at)abo.fi)

Åbo Akademi: System architecture of IoT (453507.0), 5 ECTS. 3.1.–14.3.2020.

Apply before Dec 16, 2019

Course level: Advanced

Prerequisites: General basic IT knowledge, basic understanding about distributed computing, linux operating system, networking, ability to run scripts using Python or any programming language.

With the past development of embedded system design, communication technology and energy management techniques, Internet of Things (IoT) emerged as a new paradigm. This new paradigm enable the development of new services exploiting the interconnection of devices surrounding us. The purpose of this course is to expose the students to the key concepts of system architecture for IoT applications.

By the end of the course the student will be able to:

  • Understand the fundamental of IoT technologies
  • List and explain non-functional constraints (performance, energy, cost, etc.) when designing an IoT system architecture
  • Understand how to manipulate, process and visual sensor data
  • Learn design techniques for energy efficient embedded systems

Student can choose to study the course online or attend the lectures in Turku. The exam is organised in Turku or Vaasa.

More info on Åbo Akademi’s course page.

Schedule:

  • Weeks 2–11: Wednesdays at 10–12
  • Weeks 3–11: Mondays at 10–12

Responsible teacher: Sebastien Lafond (sebastien.lafond(at)abo.fi)

LUT University: Wireless communication networks (BL40A2030), 4 ECTS. 7.1.–21.2.2020.

Apply before Dec 16, 2019

Max amount of FITech adult learners: 55

Max amount of degree students from other universities: 5

Course level: Advanced

Prerequisites: Probability theory and basic programming skills.

This course introduces following topics:

  1. Introduction to communication networks
  2. Review of probability theory and stochastic processes
  3. Fundamentals of queuing theory
  4. Models of wireless networks
  5. Medium access control
  6. Error control techniques
  7. Performance analysis of wireless networks

After this course, the students will be able to design/analyse wireless communication networks. This includes queuing theory, models of wireless networks (regular grids, random), medium access control, error control and performance analysis.

Responsible teacher: Pedro Nardelli (Pedro.Juliano.Nardelli(at)lut.fi)

More info >>

LUT University: Enabling energy internet via machine-type communications (BL40A2040), 4 ECTS. 2.3.–17.4.2020.

Apply before Feb 19, 2020

Max amount of FITech adult learners: 55

Max amount of degree students from other universities: 5

Course level: Advanced

Prerequisites: Courses Introduction to IoT-based systems, Wireless communication systems and Wireless communication networks are recommended.

The course gives an introduction to IoT-based systems and focuses on the following topics:

  1. Basics of machine-type communications
  2. Applications and modes of operation (mMTC, URLLC and broadband)
  3. Energy internet: Packetised management of the energy system
  4. Examples of IoT-enabled energy internet via MTC
  5. Cloud-based services and system platform for energy internet via MTC
  6. Student presentations about different standards

After the course, the student will be able to:

  1. define what is energy internet and how the technological advances in machine-type communications (MTC) are enabling its development
  2. model human and machine type traffic
  3. differentiate operation modes ofthe internet of things (IoT), namely ultra-reliable low-latency communications (URLLC) and massive machine-type communications (mMTC) in addition to the broadband communications
  4. propose possible ways to manage the energy system based on packetised energy together with the required IoT/MTC solutions.

More info >>

Responsible teacher: Pedro Nardelli (Pedro.Juliano.Nardelli(at)lut.fi)

Further information:

Åbo Akademi:

Johan Lilius (johan.lilius(at)abo.fi), Mikko Helle (mihelle(at)abo.fi)

LUT University:

Uolevi Nikula (uolevi.nikula(at)lut.fi)

Contact person, applications:

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

Type of study unit

Set of courses

Teaching semester

2019–2020

Host university

Åbo Akademi, LUT University

Open for degree student

Yes

Open for non-student

Yes

Level of studies

Advanced

Teaching methods

On Åbo Akademi's courses, student can choose to study the course online or attend the lectures in Turku. The exam is organised in Turku or Vaasa.

Place of contact learning

Exam in Turku or Vaasa

Language

English, Finnish & Swedish

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