Sähkötekniikka - Electrical Engineering

Näytteenoton periaate. Diskreettiaikaiset signaalit ja järjestelmät. z-muunnos ja sen soveltaminen lineaaristen aikainvarianttien järjestelmien analyysiin. Signaalien ja järjestelmien taajuusanalyysi. Suodatinsuunnittelun perusteet. Diskreetti Fourier-muunnos (DFT).

Classification of electrical machines, the electromagnetic principles governing the operation and dimensioning of electrical machines, the windings of an electrical machines, performance calculation of electrical machines.

Faraday's induction law, Ampère's law, operation principle of a transformer and an inductor, non-linearities of electromagnetic components, magnetic materials, iron losses and copper losses.

Sähköisten piirien systemaattiset laskentamenetelmät kuten tunnistamismenetelmä ja Heavisiden menetelmä. Laplacemuunnos ja Laplacekäänteismuunnos. Sähköisten RLC-piirien muutosilmiöt (piirin jännitteen tai virran muutos). Siirtoverkkojen kuvaamiseen käytettävät menetelmät. Tekoälysovellusten käyttö: Tekoälysovelluksia voidaan käyttää LUTin yleisten linjausten mukaisesti.

Kurssilla käsitellään mittaustekniikan perusasioita kuten mittausten staattisia- ja dynaamisia ominaisuuksia, mittausepävarmuutta, mittausten digitointia, häiriösignaaleja sekä eri suureiden mittaamista.

Getting to know the structure of B.Sc. (Tech.) degree in Electrical Engineering at LUT School of Energy Systems (LES) and the protocols at LES. Getting to know the content of the study guide and making an individual personal study plan. Getting to know job opportunities in the future on their field of studies. Recognizing and development of the study style the student uses. Setting and following one's own learning aims regarding studies and work life. Practicing scientific information retrieval. Getting to know the library and its services. Getting know the basics of entrepreneurship. Orienting oneself with information security in daily life. Students will have mandatory meetings with an Academic Advisor.

Kurssi käsittelee projektisuunnittelun ja -hallinnan perusteita, sisältäen vaatimusmäärittelyn, dokumentoinnin ja viestinnän. Suunnitteluprosessissa käydään läpi konseptointi, yksityiskohtainen suunnittelu ja prototyyppien testaus. Tekninen sisältö vaihtuu vuosittain tilaajan ja opiskelijan roolituksen mukaan, mm. elektroniikkakomponenttien käytännön ominaisuudet, elektroniikkasuunnittelu, sulautetun järjestelmän toteutus ja ohjelmointi, terminen mitoitus käytännössä, EMC, tehoelektroniikan sovellukset, laitteen suojaus ja elektroniikan mekaniikkasuunnittelu. Projektit perustuvat työelämän tarpeisiin, ja opiskelijat arvioivat kustannuksia sekä tekevät komponenttivalintoja huomioiden taloudelliset näkökulmat. Opiskelijoista muodostuva projektitiimi vastaa itse toteutuksesta, projektin johtamisesta, organisoinnista ja tuloksesta. Arvioinnissa painotetaan teknistä laatua (60%) ja projektinhallintaa (40%). Opiskelijoita arvioidaan roolikohtaisesti, mutta kaikilta vaaditaan sekä teknistä että projektiosaamista.

Electronics laboratory work and challenging measurements. Design and manufacturing process of a printed circuit board. Non-ideal properties of components. Differential pairs and balanced lines. Use of AI applications The use of AI tools for almost all aspects of this course is encouraged. Use AI to help you write code, understand circuits, improve your writing, etc. Make sure your use of AI doesn't violate LUT policies. Exception to the above: laboratory notebooks must be an accurate record of what you did and observed in the laboratory. These notebooks must be done manually by you. Use of AI for laboratory notes without prior permission from the teacher is considered cheating. Remember that you are still responsible for what you turn in for each assignment, even if you used AI to do it. You are expected to understand everything that you have had AI do for you. For example, if you are unable to explain why a specific circuit was designed the way it was, it will count negatively towards your grade, even if the circuit was correct.

Diodien ja transistorien analyysi, transistorivahvistimien biasointi ja analysointi pienisignaalimallien ja piirisimulaattorin avulla. Käytännöllisten operaatiovahvistimien ominaisuudet ja niiden vaikutukset vahvistinsuunnitteluun. Takaisinkytkennän periaatteet ja sen soveltaminen vahvistimien suunnittelussa. Kohina ja särö. Lineaariset teholähteet ja tehovahvistimet. Analogiset erikoispiirit ja niiden käyttökohteita. Analogisten piirien suunnittelu ja simulointi SPICE-simulaattorilla. Tekoälyn hyödyntäminen piirisuunnittelussa ja dokumentaatiossa. Käytännön laboratoriomittaukset.

As a group, students will select a project from various company ideas which will focus on prototype design, designing electronics for mass production or specifying large electronic systems. Test planning. Project group work. Seminar presentations held by students on topics varying from year to year. This course is strongly recommended to be taken in year 2. Company Cooperation: Project work with a company as a client. Use of AI applications: AI can be used in all tasks on this course, limited only by the general LUT rules. (see : AI-based tools policies | eLUT)

Elektroniikan laboratoriotyöskentely ja prototyyppitestaus, perusmittalaitteiden käyttö, elektroniikkasuunnittelun perusteet, elektroniikan testaussuunnittelu, vianhaku, käsinjuottaminen, elektroniikkapiirien simuloinnin perusteet, projektityöskentely. Tekoälysovellusten käyttö LUTin yleisten tekoälyosvellusohjeiden mukainen tekoälysovellusten käyttö on sallittua.

The course provides the student an introduction to the significance and development potential of electrochemical energy conversion technologies and electrochemical energy storages.Focus is on the electrochemical energy conversion methods as a part of the renewable electricity driven energy and material systems.The lectures give an overview of the batteries, water electrolysis, and hydrogen storages.The course consists of lectures combined with weekly exercices.

IEC61131-3 programming languages, Different POUs (programs, functions and function blocks), Sensors, Automation hardware and software. Fieldbuses. Utilization of Simulink models in PLC systems. C/C++ languages in PLC systems. HMI, OPC, IoT in automation. Introduction to safety in automation. Use of AI applications: AI may be used for information gathering and language polishing but is prohibited for any other purpose. Copy-pasting from written material is not allowed unless explicitly permitted for a specific task. 

The students will analyze and design a selected electrical energy conversion system in the field of industrial electrical drives, renewable energy conversion or a motion control system. The topics are linked to an on-going research or industrial co-operation in the above-mentioned fields. The project work includes several partly alternative system engineering tasks, such as project planning, preliminary system design, dynamic modelling and simulation, component dimensioning, electrical dimensioning, control design, automation design, control software design and project documentation. The tasks are project dependent and will be defined in the project plan. Introduction to a system engineering approach in technical projects. Project documentation, different tasks in project work, project planning and implementation, example projects, execution of system engineering tasks, project documentation and presentation. The main result of the project work is technical project documentation including an overall description and the results of agreed system engineering tasks.

The main goal of this course is to make a student familiar with 5G communication standard from industrial perspective. Brief introduction of the main technologies and methods like millimetre waves, beam forming, and network slicing will be discussed to give a good foundation for further research. At the end of the course the student be able to understand basics of technologies used in 5G and understand the impact they bring to energy, transportation and other industries. This will allow the student to better understand how 5G can be used in their field of work and study and spark interest for further research on this topic.

This course will introduce the role of IoT in modern life as well as basics of concepts that are necessary to understand IoT systems. The definitions and explanations for the terms System, Information, and Network will be considered in the first part of this course. Later we will learn about applications of theoretical concepts in some practical cases. The course is designed for people who want to understand what role IoT systems play in Fourth Industrial Revolution known as Industry 4.0 and to help them find relevant applications for these technologies in their work and studies. The course is divided into 4 chapters, each has theoretical part and a short assignment in a quiz form at the end, as follows: 1. Introduction; 2. Systems, Information, and Networks; 3. Probability and Game Theory; 4. Applications of IoT systems.

1) Access of shared wireless medium; 2) Layers for different network functionalities and slices for different application requirements; 3) Digital modulation, communication channels, demodulation, and coding: designing principles and fundamental limits; 4) Time, frequency and space in wireless communications: orthogonality, propagation, and multiple antennas; 5) Performance analysis of communication systems using ns3 simulator; 6) Wireless communications as an enabler of cyber-physical systems. Note: The use of generative tools (the so-called artificial intelligence or simply AI) are discouraged as the proposed tasks are designed for human learning; nevertheless the so-called AI applications can still be used according to general LUT policies.

Digital representations and number systems. Logic circuit implementation, gates, sequential logic. Memory and processor architecture basics. Embedded systems with microcontrollers and I/O interfaces. Programmable logic devices.

Design tools, C-language in embedded system programming, utilization of a micro controller environment (registers, timers, buses, A/D conversion etc.). Pulse width modulation. Typical data structures, typical program structures in real-time applications. Basics of FreeRTOS real-time operational system. Use of AI applications:AI may be used for information gathering and language polishing but is prohibited for any other purpose. Copy-pasting from sources is not allowed unless explicitly permitted for a specific task. In Moodle exams, AI usage results in rejection of the exam.

Basics of sampling theory and discrete modelling, discrete transfer function, continuous time and discrete state-space model. Sampled-data systems. Frequency response of discrete system,root-locus method. Stability and performance of a discrete system. Basic digital control algorithms and their tuning. Practical aspects of implementations of digital controllers. Direct compensator design, Dead-beat controller Two-degree of freedom control. Observers and state-feedback. Use of AI applications: AI may be used for information gathering and for polishing the language but is prohibited for any other purpose. Copy-pasting written material is not allowed unless explicitly permitted for a specific task.