Kieli: Englanti
Core 5G and beyond
Welcome to learn about the future of 5G on the Core 5G and Beyond MOOC! On this course you will learn the fundamental concepts behind mobile networks, focusing particularly on 5G and the envisioned future 6G networks. The design, deployment, and management of a mobile network are herculean tasks involving numerous techniques and elements. We
Modern topics in telecommunications and radio engineering – Using C with MATLAB
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. Learn C programming language and how to call C from MATLAB. Course contents Learning outcomes After successfully completing this course, the student Course material Teaching schedule Exercise submissions have
Statistical signal processing II
Max amount of FITech students: 20 Persons without a valid study right to a Finnish university have preference to this course. Course contents Learning outcomes After successfully completing this course, the student Course material Lecture material etc. can be found on Moodle. Matlab software. Teaching schedule Completion methods Simulation project tasks, and minor exams during
Battery fabrication and testing
Starting August 1, 2026, degree students can register for future implementations of this course through RIPA. More instructions here. Batteries are integral to modern technology, powering devices from portable electronics like smartphones and laptops to electric vehicles and large-scale energy storage systems that support smart grids and renewable energy sources. Battery manufacturers utilise diverse fabrication technologies
Nanomaterials in energy technology
The course will focus on state-of-the-art nanostructured materials for sustainable energy production/storage applications such as solar cells, water splitting, batteries, supercapacitors, and hydrogen storage. Course contents The focus of the course is to give insight into the state-of-the-art nanostructured materials used for various energy production/storage applications (including photovoltaic cells, water splitting, batteries, supercapacitors, and hydrogen
Johdatus tekoälyyn
Maksimimäärä FITech-opiskelijoita: 100 Kurssille etusijalla ovat ne henkilöt, joilla ei ole voimassaolevaa opinto-oikeutta suomalaiseen korkeakouluun. Kurssi käsittelee ongelmanratkaisua tekoälypohjaisilla lähestymistavoilla. Kurssilla tutustutaan haku-, regressio-, luokittelu- ja ryhmittelytyyppisiin ongelmiin. Kurssilla tarkastellaan eroa ohjatun ja ohjaamattoman oppimisen välillä. Kurssi kattaa myös mittareita valittujen menetelmien suorituskyvyn mittaamiseksi. Kurssin sisältö Osaamistavoitteet Opintojakson jälkeen opiskelija kykenee auttavasti tunnistamaan ongelman ratkaisemisessa
Introduction to cyber security testing
Max amount of FITech students: 10 Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course. The course considers case studies of basic problems of cyber security and the technical basis of vulnerabilities and how to test and recognise them. Course contents Lectures and hands
Information systems modelling, design and development
Max amount of FITech students: 30 Information Systems are everywhere in our society. These systems have to be modelled, designed and developed carefully so that they answer the needs of users and organizations, and fit in the existing work practices. Course contents Learning outcomes After completing the course, the student will be able to Course
Federated learning
Max amount of FITech students: 50 Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course. This course teaches theoretical foundations and efficient algorithms for federated learning (FL) applications. FL is an umbrella term for training machine learning models in a collaborative fashion from distributed
Electrochemical energy storage and conversion technologies
The course provides the student the ability to analyse battery energy storages and water electrolysis and fuel cell plants at system level. The student will learn how to model the components and systems, and study the energy efficiency and dynamics of the systems. Learning outcomes After successfully completing this course, the student will be able