Language: English
Supervised machine learning
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. Mastering the prerequisite skills is very important in order to complete this course. Please list your preliminary knowledge in your application. Course contents Learning outcomes After the course, the
Measurement systems FITech 1–5 ECTS
This course introduces the LabVIEW program and how to create a data acquisition system. The software allows to create measurement systems that can automatically collect and process sensor data. Course contents Learning outcomes After completing the course, the student is able to Course material All course material including the video material and exercises are available
Electronic measurement techniques FITech 1–5 ECTS
This course introduces the elements of an electronic measurement system: From the sensor that measures a physical quantity until the data is visible for example on the screen of a smartphone or uploaded to the cloud. We will discuss how to obtain data with the help of sensors, how to process sensor data until the
Electrical measurement principles FITech 1–5 ECTS
Course contents This course introduces units of measures, standards of measures, analysis of errors, most commonly used analog and digital measuring methods, equipment and electrical safety regulations. Learning outcomes After completing the course, the student is able to Course material All course material including the video material and virtual laboratory exercises are available through Moodle.
Electric drives
This course is intended as a first course on electric machine drives. The basics of mechanics as well as selection of components (motor and converter) are covered. During the course, modelling and control concepts are introduced using a DC machine and a surface-mounted permanent-magnet synchronous machine (PMSM) as example machines. Other AC machine types are
Renewable energy engineering
Max amount of FITech students: 20 adult learners who are chosen based on a motivation letter In order to decrease the CO2 emissions from energy, transport and buildings sectors, and especially emissions coming from the fossil fuel combustion, we need to increase the share of renewable energy sources such as wind and solar power. As
ICT tools for smart indoor farming
Max amount of FITech students: 20 adult learners Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course. This introductory course on Information and Communications Technologies (ICT) for smart indoor farming covers the key fundamentals of soilless agricultural practices, wireless connectivity of sensors and actuators,
Energy efficiency in embedded systems (Special course in electronic design)
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. The course covers the energy consumption of an embedded SoC (processor, memory, analog, power management, SW, but excluding sensors and radio), both the individual components and their cross-effects. The
Introduction to the Internet of Things
Understand and learn the fundamental concepts and key enablers of the #IoT, and how to design #IoT applications. #unihelsinki The Internet of Things (IoT) is an extension of Internet connectivity into everyday objects and physical devices. Initially, IoT focused on adding connectivity to everyday objects, e.g., one of the earliest examples of IoT devices was
FITech Hydrogen project course
The FITech Hydrogen project course aims to teach both course students and participating companies to understand the business opportunities and challenges of the hydrogen economy. In the course, students suggest practical solutions for the various real-life challenges of companies working in the hydrogen economy. At the same time, students will develop their transferable skills such