Student Type: Adult learner

  • Enabling energy internet via machine-type communications

    The course introduces the different definitions of Energy Internet and how the technological advances in machine-type communications (MTC) are enabling its development. A review of the state-of-the-art in both communication and power grid will be provided. Course contents Learning outcomes After the course, the student will be able to Course material The course is an

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  • Wireless communication networks

    The course provides skills to assess the key trade-offs that determine the performance of wireless networks. The course introduces the basic concepts related to the wireless communication networks. This includes the fundamentals of communication networks and its layered structure, mathematical models to quantify the diverse source of uncertainties involved in the system, and proposals of

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  • System architecture of IoT

    NB! You can find this course on the application form under the study programme Åbo Akademi FITech-ICT courses 3/2021 and choosing the right course from the drop down menu. Åbo Akademi will send you more information on the course practicalities ca 2 days after the application period has ended. With the past development of embedded

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  • Grundkurs i signalbehandling

    NB! You can find this course on the application form under the study programme Åbo Akademi FITech-ICT courses 3/2021 and choosing the right course from the drop down menu. Åbo Akademi will send you more information on the course practicalities ca 2 days after the application period has ended. Kursinnehåll: Analys av signaler i tids-

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  • Wireless communication systems

    This course introduces the fundamental theories used in communication engineering. The course will cover an introduction to analog and digital modulation, noisy channel and capacity. The studies will focus on computational tools to visualize how data is transmitted. Course contents The students will be able to analyze and design simple wireless communication systems, including physical

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  • Multidimensional sensing techniques

    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: Analyse the performance of active remote sensing techniques such as those using lidar and radar. Analyse the performance of passive remote sensing techniques

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  • Analytics for industrial internet

    Course objectives: The course consist of: The course will be given as a mix between lectures at campus and distance learning. More information will be given when the course starts. More information on Åbo Akademi’s course page. NB! You will find this course under the name “FITech-ICT Fall 2020” on the application form.

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  • Internet of things

    Core content Principles of Internet of Things and its application areas IoT devices and management IoT protocols and communication IoT security and privacy Complementary/Specialist knowledge Cloud and IoT. Edge computing. IoT sensor networks Own application design Criteria for comparing technologies and application requirements. Own application implementation. Learning outcomes Teaching methods Lectures on Fridays 12-14, exercises

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  • Programvaruutveckling och -projekt

    Det övergripande kursmålet är att förstå problematiken som hänför sig till utveckling av programvara och att få en uppfattning om de metoder med vilka man kan planera och genomföra utvecklingsprojekt. Efter genomgången kurs bör studeranden kunna förklara de centrala begreppen inom följande huvudområden för projekt inom programvaruproduktion: Programvarulivscykeln Projekthantering och -ledning Verktygsstöd för programvaruprojekt Kvalitet

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  • Kravhantering av mjukvarusystem

    Kursens syfte är att ge teoretiska och praktiska kunskaper i metoder, tekniker och verktyg för att analysera krav, behov och genomförbart av mjukvarusystem. Efter godkänd kurs förväntas den studerande kunna Föreläsningarna och övningarna görs på campus men föreläsningarna streamas och finns även senare på Moodle. FITech-studerande kan alltså ta del av dem online. Föreläsningstider hittas

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