Language: English
Software engineering with large language models
Familiarise yourself with the principles for training and fine-tuning large language models for software engineering tasks. Utilise large language models to assist in program development. Build applications that interact with large language models. Course contents Producing code with large language models, software engineering and software development life cycle, constructing programs with large language models, quality
Introduction to large language models
This is an introductory course to large language models and after completing the course the student will understand the key principles underlying the large language models and can also engineer prompts to improve output quality. No prior knowledge is needed to complete the course. Course contents Language models, large language models, prompting and prompt engineering,
Data and decision making
Max amount of FITech students: 10 adult learners The course gives an overview of data-based decision making in an organisational and network driven context, addressing key organisational functions, stakeholders, resources and transactions. An overview of the key smart city processes and support systems is given, from the viewpoint of data-driven planning, execution and improvement for
Signal processing and time-series analysis
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. Course contents The course covers both traditional signal processing and modern machine learning-based time series analysis. Learning outcomes After the course the students The course also introduces the application
Chemistry in thermal energy processes: efficiency, materials and circular economy
Starting August 1, 2026, degree students can register for future implementations of this course through RIPA. More instructions here. The courses aims to give a basic understanding of the chemistry involved in ash related problems, material selection, and circular economy aspects relevant for combustion and thermal conversion processes. Course contents Combustion and thermal conversion processes and
Control of electric drives and power converters
This course deals with control methods for electric machine drives and grid-connected converters. Some key applications are introduced. Selected control concepts are introduced using an induction motor, interior permanent-magnet motor, and synchronous reluctance motor as example machines. Using analogies to machine drives, control of grid-following and grid-forming converters are also covered. Course contents Learning outcomes
Quantum computer programming
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. Quantum computing is an emerging and promising technology. Learning how to program a quantum device is the goal of the course. Since it is a software and programming course,
Introduction to cyber-physical systems
This course is an introduction to IoT-based systems. Course contents Learning outcomes After the course you will be able to Course materials Textbook, simulations in python produced by the teachers and other suggested materials. Literature: Nardelli, Pedro HJ. Cyber-physical Systems: Theory, Methodology, and Applications. John Wiley & Sons, 2022. Available at LUT Primo. Teaching schedule
FPGA for communication systems
Max amount of FITech students: 15 adult learners After this course you will know how to use Verilog hardware description language (HDL) to develop digital systems. Course contents You will know Verilog development workflow for FPGA, including what components FPGA toolchain contains. You will know how to implement digital protocols for communication inside and outside
5G technologies and services for business and entrepreneurs
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. Come to learn basic concepts and terms used for analysis of entrepreneurship and entrepreneurial finance and identify new entrepreneurial business ideas enabled by 5G technologies. Course contents The content