Kieli: Englanti
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
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
Embedded system programming
Course contents The course focuses also on the utilisation of a micro controller environment (registers, timers, buses, A/D conversion etc.). Learning outcomes Upon completion of the course you will be able to Completion methods Weekly online lectures and exercises. Lecture recordings can be found on the learning platform. Please notice that during the course, programming
Automation
Course contents The course focuses on the following topics: Learning outcomes Upon completion of the course the student will be able to: These skills are important in industry as intelligent automation systems are needed in various applications. Completion methods Weekly online lectures and exercises. Schedule informed during the course. Lecture recordings can be found on
Cloud platforms
The course focuses on installing, managing and using modern cloud platforms. The students learn how to use and manage services in commercial platforms like Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform. Moreover, students learn how to setup their own cloud platform. Course content: Completion methods The course requirements are successfully pass first
Introduction to API economy
During this course, the student will learn the basics of why API economy is important part of economy, and how to inject APIs into the strategy of an organisation. The focus of this course is more in providing open APIs than in internal or private APIs, but you will get to understand all types of
Introduction to digital transformation
Max amount of FITech students: 65 adult learners This course aims to demystify digital transformation and view it from a number of different perspectives such as general, technology, society level and company level perspectives. The videos include an informal discussion with experts who have extensive experience from the area both from an academic perspective as
Managing industrial e-business and B2B
Course contents Learning outcomes After the course, the student Completion methods Weekly assignments (contact or online). Exam will be held on campus in Tampere. More information in the Tampere University study guide. You can get a digital badge after completing this course.
Digital design
Core contents of the course: This course gives knowledge of specification, design, implementation and analysis of digital systems. Students learn to know the theory of combinational and sequential systems, especially the design of state machines. Students master state-of-the art design tools, and can select the best specification and implementation description for typical design tasks. FPGA
Characterization of energy materials
Please note! Degree students enroll on this course via RIPA. This course is included in the FITech Energy II agreement. More instructions here. In the course, students learn about different characterization methods usable for energy materials. These concern the study of mechanical, electrical, optical, magnetic and thermal properties of materials. Course content Learning outcomes After