Language: English

  • Distributed systems

    Max amount of FITech students: 15 Persons without a valid study right to a Finnish university have preference to this course. During the course, students learn essential motivations and solution techniques for distributed systems. Course contents On a more detailed level, we discuss about the basic distributed system techniques, including architectures, processes, communication, naming, modelling,…

    Read More

  • Cryptography in networking

    Max amount of FITech students: 15 Persons without a valid study right to a Finnish university have preference to this course. Course contents Learning outcomes The student learns the most important cryptographic concepts and relevant mechanisms that are used in realizing those concepts. Examples of these concepts are symmetric ciphers, public-key encryption, digital signatures, message…

    Read More

  • Computer vision

    Max amount of FITech students: 15 Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course. Mastering the prerequisite skills is very important in order to complete this course. The course will give the theoretical background as well as practical experience of computer vision. Course…

    Read More

  • Web software development

    This free online course will teach you what web applications are, how they function, and how to build them with JavaScript and Deno, a modern runtime from the developers of Node. The focus in the course is on designing, implementing, and testing server-side web applications. Along the way, you’ll also learn to deploy applications to…

    Read More

  • SOA and cloud computing

    Max amount of FITech students: 15 adult learners Service Oriented Architecture (SOA) is an architectural approach to organize and manage various processes where components work seamlessly with each other. From the software engineering point of view, SOA an architectural pattern in computer software design in which reusable well-defined application components provide services to other components…

    Read More

  • Industrial value creation

    The goal of the course is to provide an overview of the changing premises for value creation on industrial markets and the various means to create, deliver and capture value based on these premises. We use the business model concept to understand how industrial companies can meet changing demands, contribute to and cease new opportunities…

    Read More

  • Market analysis

    The overarching aim of the course is to broaden your understanding of what markets are, and how firms and other actors create, shape, and engage with markets, particularly in international business environments. During the course, you will learn Key concepts covered in the course include the making and shaping of product and service markets, market…

    Read More

  • Modern wireless communications and applications

    Check out this short introductory video clip of the course! Wireless communication has progressed exponentially in all dimensions during the last decade. We are now quite close to the ultimate limit of the information transfer rate which is known by Shannon capacity. Telecommunication becomes part of almost all branches of technical and nontechnical life. Besides…

    Read More

  • Applied signal processing

    Max amount of FITech students: 20 adult learners Course contents basics of signal processing, dynamic systems and related mathematics sound synthesis frequency analysis audio signal restoration pitch shift; digital filters sound effects speech recognition vibration analysis signal processing in Matlab After completing the course the student can explain common sound and signal processing methods in…

    Read More

  • Applied machine learning

    Max amount of FITech students: 25 adult learners This course provides an insight into the implementation of machine learning for applications. The course covers methods needed for data analysis from reading and cleaning the data, imputation of missing values, extracting features and application of machine learning methods to develop an optimised pipeline leading from data…

    Read More