Kieli: Englanti

  • Artificial intelligence

    Max amount of FITech students: 20 Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course. In this course, we aim to understand the basic mechanisms of Artificial Intelligence, so we focus on the fundamental principles. Artificial intelligence (AI) aims to understand thinking and intelligence

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  • Machine learning for computer vision

    Max amount of FITech students: 30 adult learners In today’s rapidly evolving technological landscape, the ability to interpret and analyse visual data has become a core skill for engineers across industries. This course offers a comprehensive introduction to Convolutional Neural Networks (CNNs) and modern machine learning techniques tailored for visual recognition tasks. Related technologies are

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  • Software testing

    Max amount of FITech students: 40 Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course. Course contents Learning outcomes After completing this course you Course material The course materials and exercises can be found on the course website: https://opencs.it.jyu.fi/software-testing/ Teaching schedule Schedule in the

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  • Dual-use technologies

    Is the dual-use of civilian products for defense purposes good or bad? Who can become a supplier to the defense industry? Is research funding available from the defense sector? Welcome to the studia generalia seminar series led by Research Director Tatu Koljonen, which is open for anyone interested in the topic via FITech. Read more

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  • Energy storage for sustainable buildings and districts

    Sustainable energy transition requires integration of major technological changes in renewable energy production, energy storage for resilience and demand-side energy savings. The buildings sector is responsible for about one-third of global energy use and energy-related CO2 emissions. With the rising deployment of renewables, energy storage plays a critical role for shedding and shifting building loads

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  • Wood products and processes

    Max amount of FITech students: 200 Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course. The course presents the most relevant wood-based products, their production processes, properties and typical applications. Course contents This course presents the production processes and structures of widely used engineered

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  • Forests, wood and carbon

    Max amount of FITech students: 200 Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course. The course presents the role of wood and forests in the carbon cycle. Basic properties of wood material are covered, as well as processing from forest to different applications.

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  • Applied mechanics of wood materials

    Max amount of FITech students: 200 Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course. Course contents This course covers the basic principles of wood mechanics and the use of wood and wood-based products from the perspective of mechanical behavior. A fundamental overview of

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  • Wood material science

    Max amount of FITech students: 200 Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course. The course dives into the material science of wood, covering topics such as structure and anatomy, wood formation and wood and water interactions. Students will learn how the macroscopic

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  • Software engineering with large language models

    Familiarise yourself with the principles for training and fine-tuning large language models for software engineering tasks. Utilise large language models to assist in program development. Build applications that interact with large language models. Course contents Producing code with large language models, software engineering and software development life cycle, constructing programs with large language models, quality

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