Student Type: Adult learner
Service business development
Max amount of FITech students: 10 Persons without a valid study right to a Finnish university have preference to this course. The course covers the core areas of service business development, i.e. building industrial product-service offerings, service blueprinting, service pricing and delivery as well as engaging users into the development of new services. After the…
Service design
Max amount of FITech students: 60 adult learners In this course, students will understand how to design services based on data, information and human expertise streams. Furthermore, the student will learn principles, processes and tools to design services for customers. The course develops operational operation, critical and analytical thinking skills. The student will also understand…
Project portfolio management
Max amount of FITech students: 30 adult learners This course teaches the students project portfolio management from multiple points of view. Students learn what is a portfolio, a program and a project. For example the following topics are part of the course: Learning outcomes After completing the course, the student The course develops critical and…
Management of ICT function
Max amount of FITech students: 30 adult learners This course focuses on the connection between information and communication technology (ICT) and its utilisation for better business functionality. Course contents The business dependence on ICT is clear, and thus understanding the needs and connecting them with the available technological options is no more voluntary. Many concepts…
Enterprise architectures
Max amount of FITech students: 50 adult learners After the course, the student With this knowledge the student is able to use and apply the software tools and practices in the way that they are able to model an enterprise architecture. Teaching methods The lectures will be held over Zoom (might not be recorded). Students…
Big data processing and applications
Max amounts of FITech students: 30 Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course. During this course, the student gets familiar with the concept of “Big data” and different phenomena related to it, including requirements and principles for data intensive systems and their…
Data analysis and knowledge discovery
Course contents The course introduces methods and algorithms for extracting information and knowledge from datasets. This includes techniques for visualisation, classification, regression, outlier detection, rule induction, model complexity selection, and model validation. Learning outcomes This course enables students to learn when and how to apply state of the art data analysis and knowledge discovery tools…
Acquisition and analysis of biosignals
Course content Review of different physiological signals such as heart rate, body and skin temperature, blood pressure, oxygen saturation and respiration rate etc. which can be monitored by wearables. What kind of sensor technology is required to capture each of these physiological signals. Signal conditioning and processing for different types of biosignals; for example electrocardiography…
Measurement technology
This course focuses on measurement systems and introduces basic skills to understand the measurement of physical quantities. The course introduces the basic concepts related to the measurement system and provides the skills to define properties related to the measuring of quantities. The participant will learn the static and dynamic properties of a measurement system and…
Signaalien digitaalinen käsittely I
Maksimimäärä FITech-opiskelijoita: 20 (joista maksimissaan 5 tutkinto-opiskelijaa) Opintojakso perehdyttää opiskelijan signaalien digitaalisen käsittelyn perusteisiin. Opintojakson suoritettuaan opiskelija osaa: Kurssisisältö: Suoritustavat: 1. periodissa luentoja 14 h, harjoituksia 14 h ja kotitehtäviä 7 h. 2. periodissa luentoja 14 h, harjoituksia 14 h ja kotitehtäviä 7 h, harjoitustyö 20 h. Kaksi välikoetta Moodlessa. Itsenäisen työn osuus 14 h.…