Kurssi ei ole enää saatavilla, se päättyi elokuussa 2023.
Lisätietoja: ota yhteyttä seppo.virtanen@utu.fi
- Teacher
Seppo Virtanen
Kategooria: Department of Computing
University of Turku Moodle
Otsingutulemid
Master's thesis seminar course, runs continuously. This instance is for Fall 2023 - Spring 2024 (end of July 2024).
- Teacher
Ville Leppänen
Kategooria: Department of Computing
Student prepare and present an analysis presentation on some previous related Master's Thesis (in the beginning of starting one's own thesis work). Students also give presentation on their own Master's Thesis when it is (close to) finished. Students participate and discuss on analysis and own thesis presentations (min 8+8). Students learn on their own field's research methods and make a research methods related exercise (written reports). Guidelines on using generative AI for course related exercises are given during the course. Seminar sessions are arranged weekly throughout the academic year, but only when there are beforehand announced presentations. Students and join the seminar any time (joining to moodle area, sendind email to resposible teacher).
This course instance runs from Fall 2024 to Spring 2025.
- Teacher
Ville Leppänen
Kategooria: Department of Computing
The goal of seminar is to support and give capabilities for one's own Master's Thesis work. After passing the seminar, the student
- is able to describe the elements of typical/own thesis,
- knows one's own field's typical research methods being able to apply some of them,
- is able to apply research methods for one's own Master's Thesis work and present that as part of one's thesis structure, and
- knows what is a typical Master's Thesis and the work and guidance processes related to it.
Common working life skills:
- oral reporting, presentation skills
- Teacher
Ville Leppänen
Kategooria: Department of Computing
Objectives
The overall goal of the course is to develop understanding on the role of a human element in information security and privacy. The participants understand and are able to analyze and minimize the information security and privacy risks arising from human activity. The students will understand the importance of their digital footprint, and how online and offline activities contribute to their digital footprint, and further impacts their security and privacy. And, understand the contributions of awareness, attitudes, perceptions and individual factors towards their security and privacy related behaviors. The students will be able to perform risk analysis in different cyber security contexts. The students learn to critically retrieve, analyze, and synthesize information, and jointly produce new information and present it in the group. The students also learn team building and management skills.
The course strengthens the following working life skills: presentation skills, creativity, multi-professionalism, problem solving skills, organizational and coordination skills, project management, information and communication technology skills, networking skills, communication skills and cooperation and negotiation skills.
The overall goal of the course is to develop understanding on the role of a human element in information security and privacy. The participants understand and are able to analyze and minimize the information security and privacy risks arising from human activity. The students will understand the importance of their digital footprint, and how online and offline activities contribute to their digital footprint, and further impacts their security and privacy. And, understand the contributions of awareness, attitudes, perceptions and individual factors towards their security and privacy related behaviors. The students will be able to perform risk analysis in different cyber security contexts. The students learn to critically retrieve, analyze, and synthesize information, and jointly produce new information and present it in the group. The students also learn team building and management skills.
The course strengthens the following working life skills: presentation skills, creativity, multi-professionalism, problem solving skills, organizational and coordination skills, project management, information and communication technology skills, networking skills, communication skills and cooperation and negotiation skills.
- Teacher
Jouni Isoaho
Kategooria: Courses from Peppi
Objectives
The overall goal of the course is to develop understanding on the role of a human element in information security and privacy. The participants understand and are able to analyze and minimize the information security and privacy risks arising from human activity. They are able to understand the effects and dimensions of artificial intelligence in human cyber security.The students will understand the importance of their digital footprint, and how online and offline activities contribute to their digital footprint, and further impacts their security and privacy. And, understand the contributions of awareness, attitudes, perceptions and individual factors towards their security and privacy related behaviors. The students will be able to perform risk analysis in different cyber security contexts. The students learn to critically retrieve, analyze, and synthesize information, and jointly produce new information and present it in the group. The students also learn team building and management skills.
The course strengthens the following working life skills: presentation skills, creativity, multi-professionalism, problem solving skills, organizational and coordination skills, project management, information and communication technology skills, networking skills, communication skills and cooperation and negotiation skills.
The overall goal of the course is to develop understanding on the role of a human element in information security and privacy. The participants understand and are able to analyze and minimize the information security and privacy risks arising from human activity. They are able to understand the effects and dimensions of artificial intelligence in human cyber security.The students will understand the importance of their digital footprint, and how online and offline activities contribute to their digital footprint, and further impacts their security and privacy. And, understand the contributions of awareness, attitudes, perceptions and individual factors towards their security and privacy related behaviors. The students will be able to perform risk analysis in different cyber security contexts. The students learn to critically retrieve, analyze, and synthesize information, and jointly produce new information and present it in the group. The students also learn team building and management skills.
The course strengthens the following working life skills: presentation skills, creativity, multi-professionalism, problem solving skills, organizational and coordination skills, project management, information and communication technology skills, networking skills, communication skills and cooperation and negotiation skills.
- Teacher
Jouni Isoaho
Kategooria: Courses from Peppi
This course introduces students to low-power wireless communication technologies, as well as IoT system architecture and security considerations. By the end of the course, students will have gained the necessary knowledge on the building blocks of IoT system architecture, comparing relevant protocols, networking technologies, and security solutions that allow them to make correct design choices and tradeoffs based on application requirements.
- Teacher
Tahir Mohammad
Kategooria: Department of Computing
Objectives
The course provides an experiental learning opportunity on complex problem solving through digital business innovation. The student will learn to work and innovate in parallel with the problem, solution prototypes and business model to create validated solution concepts for complex problems. In this course the problems that the student teams work on need to have strong connection to sustainable development challenges.
Students will get hands on experience on:
- Complex problem solving, opportunity recognition and innovation.
- Lean startup method and customer development.
- Digital business models, platform business models.
- Product/service prototyping.
- Teamwork and customer/stakeholder collaboration.
- Sustainable entrepreneurship, triple bottom line thinking.
The course strengthens the following working life skills:
Communication and Cyber Security Engineering: presentation skills, creativity, multi-professionalism, problem solving skills, organizational and coordination skills, project management, networking skills, communication skills and cooperation and negotiation skills.
Robotics and Autonomous Systems: presentation skills, creativity, multi-professionalism, problem solving skills, organizational and coordination skills, project management, networking skills, communication skills and cooperation and negotiation skills.
Software Engineering: presentation skills, creativity, multi-professionalism, problem solving skills, organizational and coordination skills, information and communication technology skills, communication skills, cooperation and negotiation skills.
The course provides an experiental learning opportunity on complex problem solving through digital business innovation. The student will learn to work and innovate in parallel with the problem, solution prototypes and business model to create validated solution concepts for complex problems. In this course the problems that the student teams work on need to have strong connection to sustainable development challenges.
Students will get hands on experience on:
- Complex problem solving, opportunity recognition and innovation.
- Lean startup method and customer development.
- Digital business models, platform business models.
- Product/service prototyping.
- Teamwork and customer/stakeholder collaboration.
- Sustainable entrepreneurship, triple bottom line thinking.
The course strengthens the following working life skills:
Communication and Cyber Security Engineering: presentation skills, creativity, multi-professionalism, problem solving skills, organizational and coordination skills, project management, networking skills, communication skills and cooperation and negotiation skills.
Robotics and Autonomous Systems: presentation skills, creativity, multi-professionalism, problem solving skills, organizational and coordination skills, project management, networking skills, communication skills and cooperation and negotiation skills.
Software Engineering: presentation skills, creativity, multi-professionalism, problem solving skills, organizational and coordination skills, information and communication technology skills, communication skills, cooperation and negotiation skills.
- Teacher
Antero Järvi
Kategooria: Department of Computing
Objectives
The course offers a hands-on experiential learning opportunity centered around complex problem-solving through digital business innovation. Students will learn to navigate the intricate landscape of problem-solving by concurrently developing prototypes of solutions and corresponding business models, resulting in validated solution concepts for multifaceted challenges, particularly those aligned with sustainable development objectives.
Throughout the course, students will engage in:
- Complex problem-solving, including opportunity recognition and innovation.
- Application of the lean startup method and customer development principles.
- Exploration of digital business models, including platform business models.
- Prototyping of products/services.
- Collaboration within teams and with stakeholders.
- Emphasis on sustainable entrepreneurship and triple bottom line thinking.
The course enhances various essential workplace skills, including:
- Presentation skills
- Creativity
- Multi-professional collaboration
- Problem-solving abilities
- Organizational and coordination skills
- Project management
- Networking skills
- Communication skills
- Cooperation and negotiation skills
The course offers a hands-on experiential learning opportunity centered around complex problem-solving through digital business innovation. Students will learn to navigate the intricate landscape of problem-solving by concurrently developing prototypes of solutions and corresponding business models, resulting in validated solution concepts for multifaceted challenges, particularly those aligned with sustainable development objectives.
Throughout the course, students will engage in:
- Complex problem-solving, including opportunity recognition and innovation.
- Application of the lean startup method and customer development principles.
- Exploration of digital business models, including platform business models.
- Prototyping of products/services.
- Collaboration within teams and with stakeholders.
- Emphasis on sustainable entrepreneurship and triple bottom line thinking.
The course enhances various essential workplace skills, including:
- Presentation skills
- Creativity
- Multi-professional collaboration
- Problem-solving abilities
- Organizational and coordination skills
- Project management
- Networking skills
- Communication skills
- Cooperation and negotiation skills
- Teacher
Antero Järvi
Kategooria: Department of Computing
Objectives
After the course:
- Student can create a new software application using the skills and the knowledge from the previous courses
- Student can apply the work methods, tools and techniques taught in the previous courses to execute the project and the programming tasks in a productive and a professional manner
- Student can evaluate both the technical decisions made during the project and the work methods selected for the project execution, and is able to present present the conclusions of this evaluation in a clear and a consistent manner to the professional audience
The course strengthens the following working life skills: presentation skills, creativity, problem solving skills, organizational and coordination skills, project management, information and communication technology skills, communication skills and cooperation and negotiation skills.
After the course:
- Student can create a new software application using the skills and the knowledge from the previous courses
- Student can apply the work methods, tools and techniques taught in the previous courses to execute the project and the programming tasks in a productive and a professional manner
- Student can evaluate both the technical decisions made during the project and the work methods selected for the project execution, and is able to present present the conclusions of this evaluation in a clear and a consistent manner to the professional audience
The course strengthens the following working life skills: presentation skills, creativity, problem solving skills, organizational and coordination skills, project management, information and communication technology skills, communication skills and cooperation and negotiation skills.
- Teacher
Tuomas Mäkilä
Kategooria: Department of Computing
- Teacher
Matti Kaisti
Kategooria: Department of Computing
- Teacher
Tero Koivisto
Kategooria: Department of Computing
Tavoitteet
Tavoitteena on harjaannuttaa opiskelija tekemään itsenäisesti käytännöllisiä ja teoreettisia selvityksiä tieteenalansa tutkimusmenetelmien ja tieteellisen kirjallisuuden avulla sekä esittämään tulokset kirjallisessa muodossa. Diplomityön tavoitteena on tuottaa konstruktiivinen ratkaisuehdotus pääasiallisesti ulkoisen tahon (yrityksen / organisaation / tutkimusryhmän) tutkimukselliseen haasteeseen / ongelmaan. Edelleen tavoitteena on syventää opiskelijan tietoa diplomityössä käsiteltävästä aiheesta ja luoda pohja jatko-opintojen suorittamiseen. Diplomityöhön liittyy osallistumisen diplomityöseminaariin.
Tavoitteena on harjaannuttaa opiskelija tekemään itsenäisesti käytännöllisiä ja teoreettisia selvityksiä tieteenalansa tutkimusmenetelmien ja tieteellisen kirjallisuuden avulla sekä esittämään tulokset kirjallisessa muodossa. Diplomityön tavoitteena on tuottaa konstruktiivinen ratkaisuehdotus pääasiallisesti ulkoisen tahon (yrityksen / organisaation / tutkimusryhmän) tutkimukselliseen haasteeseen / ongelmaan. Edelleen tavoitteena on syventää opiskelijan tietoa diplomityössä käsiteltävästä aiheesta ja luoda pohja jatko-opintojen suorittamiseen. Diplomityöhön liittyy osallistumisen diplomityöseminaariin.
- Teacher
Pasi Liljeberg
Kategooria: Faculty of Medicine
Tavoitteet
Seminaarin tavoitteena on tukea ja antaa valmiuksia diplomityön tekemiseen.
- Seminaarin suorittamisen jälkeen opiskelija osaa kertoa, mistä elementeistä diplomityö koostuu,
- tuntee alan tutkimusmenetelmiä ja osaa soveltaa niitä diplomityön tekemiseen
- Osaa hakea tietoa tietokannoista keskittyen erityisesti lääketietelliseen tekniikaan ja terveysteknologiaan.
Yleiset työelämätaidot:
- suullinen raportointi, esiintymistaidot
Seminaarin tavoitteena on tukea ja antaa valmiuksia diplomityön tekemiseen.
- Seminaarin suorittamisen jälkeen opiskelija osaa kertoa, mistä elementeistä diplomityö koostuu,
- tuntee alan tutkimusmenetelmiä ja osaa soveltaa niitä diplomityön tekemiseen
- Osaa hakea tietoa tietokannoista keskittyen erityisesti lääketietelliseen tekniikaan ja terveysteknologiaan.
Yleiset työelämätaidot:
- suullinen raportointi, esiintymistaidot
- Teacher
Pasi Liljeberg
Kategooria: Department of Computing
Tavoitteet
Opintojakson suoritettuaan opiskelija ymmärtää kyberturvallisuuden peruskäsitteet, mekanismit ja periaatteet sekä kyberturvallisuuden roolin ja merkityksen tietoyhteiskunnassa. Opiskelija ymmärtää keskeiset kyberturvallisuusriskit, mistä uhat turvallisuudelle johtuvat, sekä tiedostaa tietoturvalliset tavat toimia niin opiskelussa kuin laajemmin osana tietoyhteiskuntaa. Opiskelija oppii käytännön harjoitusten kautta käyttämään keskeisiä työkaluja ja menetelmiä erilaisten tietoverkko- ja kyberturvallisuusuhkien havainnointiin ja estämiseen.
Opintojakso vahvistaa seuraavia työelämävalmiuksia: luovuus, moniammatillisuus, ongelmanratkaisutaidot, tieto- ja viestintätekniikan taidot ja viestintätaidot.
Opintojakson suoritettuaan opiskelija ymmärtää kyberturvallisuuden peruskäsitteet, mekanismit ja periaatteet sekä kyberturvallisuuden roolin ja merkityksen tietoyhteiskunnassa. Opiskelija ymmärtää keskeiset kyberturvallisuusriskit, mistä uhat turvallisuudelle johtuvat, sekä tiedostaa tietoturvalliset tavat toimia niin opiskelussa kuin laajemmin osana tietoyhteiskuntaa. Opiskelija oppii käytännön harjoitusten kautta käyttämään keskeisiä työkaluja ja menetelmiä erilaisten tietoverkko- ja kyberturvallisuusuhkien havainnointiin ja estämiseen.
Opintojakso vahvistaa seuraavia työelämävalmiuksia: luovuus, moniammatillisuus, ongelmanratkaisutaidot, tieto- ja viestintätekniikan taidot ja viestintätaidot.
- Teacher
Antti Hakkala
Kategooria: Courses from Peppi
This implementation is intended for degree students. Open University students have their own Moodle area.
On completion of the course, students will be able to: - explain and apply web techniques and basic concepts - how to program simple applications using JavaScript - Build client-side interfaces and components using React technology - describe and apply the HTTP protocol and REST architecture - create server-side Node.js applications and use the npm package manager - handle HTTP requests and access databases on the server side - debug full stack applications
- Teacher
Jarko Papalitsas
Kategooria: Department of Computing
Tavoitteet
Kurssin suoritettuaan opiskelija osaa:
- selittää ja soveltaa web-ohjelmoinnin tekniikoita ja peruskäsitteitä
- ohjelmoida yksinkertaisia sovelluksia JavaScriptillä
- rakentaa asiakaspuolen käyttöliittymiä ja komponentteja React-teknologialla
- kuvata ja soveltaa HTTP-protokollaa ja REST-arkkitehtuuria
- luoda palvelinpuolen Node.js-sovelluksia ja käyttää npm-pakettimanageria
- käsitellä HTTP-pyyntöjä ja käyttää tietokantoja palvelinpuolella
- etsiä ja poistaa ohjelmointivirheitä full stack -sovelluksista
Opintojakso vahvistaa seuraavia työelämävalmiuksia: luovuus, moniammatillisuus, ongelmanratkaisutaidot sekä tieto- ja viestintätekniikan taidot.
Kurssin suoritettuaan opiskelija osaa:
- selittää ja soveltaa web-ohjelmoinnin tekniikoita ja peruskäsitteitä
- ohjelmoida yksinkertaisia sovelluksia JavaScriptillä
- rakentaa asiakaspuolen käyttöliittymiä ja komponentteja React-teknologialla
- kuvata ja soveltaa HTTP-protokollaa ja REST-arkkitehtuuria
- luoda palvelinpuolen Node.js-sovelluksia ja käyttää npm-pakettimanageria
- käsitellä HTTP-pyyntöjä ja käyttää tietokantoja palvelinpuolella
- etsiä ja poistaa ohjelmointivirheitä full stack -sovelluksista
Opintojakso vahvistaa seuraavia työelämävalmiuksia: luovuus, moniammatillisuus, ongelmanratkaisutaidot sekä tieto- ja viestintätekniikan taidot.
- Teacher
Jarko Papalitsas
Kategooria: Department of Computing
Tavoitteet
Kurssin suoritettuaan opiskelija osaa:
- selittää ja soveltaa web-ohjelmoinnin tekniikoita ja peruskäsitteitä
- ohjelmoida yksinkertaisia sovelluksia JavaScriptillä
- rakentaa asiakaspuolen käyttöliittymiä ja komponentteja React-teknologialla
- kuvata ja soveltaa HTTP-protokollaa ja REST-arkkitehtuuria
- luoda palvelinpuolen Node.js-sovelluksia ja käyttää npm-pakettimanageria
- käsitellä HTTP-pyyntöjä ja käyttää tietokantoja palvelinpuolella
- etsiä ja poistaa ohjelmointivirheitä full stack -sovelluksista
Opintojakso vahvistaa seuraavia työelämävalmiuksia: luovuus, moniammatillisuus, ongelmanratkaisutaidot sekä tieto- ja viestintätekniikan taidot.
Kurssin suoritettuaan opiskelija osaa:
- selittää ja soveltaa web-ohjelmoinnin tekniikoita ja peruskäsitteitä
- ohjelmoida yksinkertaisia sovelluksia JavaScriptillä
- rakentaa asiakaspuolen käyttöliittymiä ja komponentteja React-teknologialla
- kuvata ja soveltaa HTTP-protokollaa ja REST-arkkitehtuuria
- luoda palvelinpuolen Node.js-sovelluksia ja käyttää npm-pakettimanageria
- käsitellä HTTP-pyyntöjä ja käyttää tietokantoja palvelinpuolella
- etsiä ja poistaa ohjelmointivirheitä full stack -sovelluksista
Opintojakso vahvistaa seuraavia työelämävalmiuksia: luovuus, moniammatillisuus, ongelmanratkaisutaidot sekä tieto- ja viestintätekniikan taidot.
- Teacher
Jari Lehto
Kategooria: Tietojenkäsittelytieteet
Web programming for open university students 2024 autumn.
The Moodle area is for following course instances only:
- DTEK2072-3009 Web-ohjelmointi, avoin yliopisto-opetus (kokonaisuus)
- DTEK2072-3010 Web Programming, Open University studies (module)
- DTEK2072-3011 Web-ohjelmointi, avoin yliopisto-opetus
- DTEK2072-3012 Web Programming, Open University studies
- Teacher
Jari Lehto
Kategooria: Tietojenkäsittelytieteet
Tavoitteet
The objective of this course is to understand basics of signals, sampling, filtering, reconstruction and their effects on time and frequency domain. The course aims to provide conceptual understanding of digital communication system as a whole, purposes of its components and their interaction using MATLAB assisted calculations and visualizations. It also aims students to be able to analyze and compare the performance of various components in order to make proper system level solutions and decisions.
Opintojakso vahvistaa seuraavia työelämävalmiuksia: ongelmanratkaisutaidot ja tieto- ja viestintätekniikan taidot.
The objective of this course is to understand basics of signals, sampling, filtering, reconstruction and their effects on time and frequency domain. The course aims to provide conceptual understanding of digital communication system as a whole, purposes of its components and their interaction using MATLAB assisted calculations and visualizations. It also aims students to be able to analyze and compare the performance of various components in order to make proper system level solutions and decisions.
Opintojakso vahvistaa seuraavia työelämävalmiuksia: ongelmanratkaisutaidot ja tieto- ja viestintätekniikan taidot.
- Teacher
Petri Sainio
Kategooria: Department of Computing
Objectives
After completing the course, the student understands and masters: microprocessor architecture and operation principles of its components; factors limiting performance of a processor; the relationship between the machine code (instruction set) and hardware; basics of memory hierarchy, components and interconnection techniques of a computer system; as well as functional principles and role of an operating system as part of a computer system.
The course strengthens the following working life skills: problem solving skills and information and communication technology skills.
After completing the course, the student understands and masters: microprocessor architecture and operation principles of its components; factors limiting performance of a processor; the relationship between the machine code (instruction set) and hardware; basics of memory hierarchy, components and interconnection techniques of a computer system; as well as functional principles and role of an operating system as part of a computer system.
The course strengthens the following working life skills: problem solving skills and information and communication technology skills.
- Teacher
Srinivasa Kanduru
Kategooria: Department of Computing
Objectives
After completing the course, the student understands and masters:
workflow of how a processor executes a high level program; basics, fundamental principles, and caveats of designing a processor; instruction set architectures (ISA); memory sub-system design; analyzing and improving performance of a processor; writing efficient software by understanding the hardware; fundamentals of operating systems (OS); process and memory management; system calls, scheduling and resource allocation; synergy between architecture and OS.
The course strengthens the following working life skills: analytical and computational thinking, basic problem solving, system design through abstraction and indirection, information and communication technology skills.
After completing the course, the student understands and masters:
workflow of how a processor executes a high level program; basics, fundamental principles, and caveats of designing a processor; instruction set architectures (ISA); memory sub-system design; analyzing and improving performance of a processor; writing efficient software by understanding the hardware; fundamentals of operating systems (OS); process and memory management; system calls, scheduling and resource allocation; synergy between architecture and OS.
The course strengthens the following working life skills: analytical and computational thinking, basic problem solving, system design through abstraction and indirection, information and communication technology skills.
- Teacher
Srinivasa Kanduru
Kategooria: Courses from Peppi
Objectives
After completing the course, the student understands and masters:
workflow of how a processor executes a high level program; basics, fundamental principles, and caveats of designing a processor; instruction set architectures (ISA); memory sub-system design; analyzing and improving performance of a processor; writing efficient software by understanding the hardware; fundamentals of operating systems (OS); process and memory management; system calls, scheduling and resource allocation; synergy between architecture and OS.
The course strengthens the following working life skills: analytical and computational thinking, basic problem solving, system design through abstraction and indirection, information and communication technology skills.
- Teacher
Srinivasa Kanduru
Kategooria: Department of Computing
Objectives
This Special Course has rotating topics giving the student an opportunity to get familiar with a specific area of health technology. After completing this course in 2024, the student will be able to:
• describe broadly the technology of high-throughput sequencing
• name some applications of genome sequencing and RNA-sequencing
• describe different levels of DNA variation in human
• describe some consequences for different kinds of variants
• find variant data using the Ensembl genome browser
• perform a small-scale analysis of variant consequences and their predicted effects using Ensembl tools and a list of variant positions in the genome
This Special Course has rotating topics giving the student an opportunity to get familiar with a specific area of health technology. After completing this course in 2024, the student will be able to:
• describe broadly the technology of high-throughput sequencing
• name some applications of genome sequencing and RNA-sequencing
• describe different levels of DNA variation in human
• describe some consequences for different kinds of variants
• find variant data using the Ensembl genome browser
• perform a small-scale analysis of variant consequences and their predicted effects using Ensembl tools and a list of variant positions in the genome
- Teacher
Martti Tolvanen
Kategooria: Department of Computing
Tavoitteet
Kurssin tavoitteena on ymmärtää komentorivin toimintaperiaate. Kurssin jälkeen opiskelija osaa suorittaa graafisesta käyttöliittymästä tuttuja toimintoja myös komentorivin avulla ja yhdistellä komentoja uudelleenkäytettäviksi komentojonoiksi, eli skripteiksi. Opiskelija tuntee komentojen rakenteen ja osaa soveltaa oppimaansa myös ennalta tuntemattomien komentojen ja ohjelmien käyttöön. Keskeisenä tavoitteena on myös oppia ottamaan etäyhteys unix-pohjaiseen palvelimeen. Opiskelija ymmärtää myös käyttöjärjestelmän käsitteen ja käyttöjärjestelmän keskeiset tehtävät.
Opintojakso vahvistaa seuraavia työelämävalmiuksia: moniammatillisuus, ongelmanratkaisutaidot ja tieto- ja viestintätekniikan taidot.
Kurssin tavoitteena on ymmärtää komentorivin toimintaperiaate. Kurssin jälkeen opiskelija osaa suorittaa graafisesta käyttöliittymästä tuttuja toimintoja myös komentorivin avulla ja yhdistellä komentoja uudelleenkäytettäviksi komentojonoiksi, eli skripteiksi. Opiskelija tuntee komentojen rakenteen ja osaa soveltaa oppimaansa myös ennalta tuntemattomien komentojen ja ohjelmien käyttöön. Keskeisenä tavoitteena on myös oppia ottamaan etäyhteys unix-pohjaiseen palvelimeen. Opiskelija ymmärtää myös käyttöjärjestelmän käsitteen ja käyttöjärjestelmän keskeiset tehtävät.
Opintojakso vahvistaa seuraavia työelämävalmiuksia: moniammatillisuus, ongelmanratkaisutaidot ja tieto- ja viestintätekniikan taidot.
- Teacher
Joona Wiik
Kategooria: Department of Computing
Tavoitteet
Kurssin tavoitteena on ymmärtää komentorivin toimintaperiaate. Kurssin jälkeen opiskelija osaa suorittaa graafisesta käyttöliittymästä tuttuja toimintoja myös komentorivin avulla ja yhdistellä komentoja uudelleenkäytettäviksi komentojonoiksi, eli skripteiksi. Opiskelija tuntee komentojen rakenteen ja osaa soveltaa oppimaansa myös ennalta tuntemattomien komentojen ja ohjelmien käyttöön. Keskeisenä tavoitteena on myös oppia ottamaan etäyhteys unix-pohjaiseen palvelimeen. Opiskelija ymmärtää myös käyttöjärjestelmän käsitteen ja käyttöjärjestelmän keskeiset tehtävät.
Opintojakso vahvistaa seuraavia työelämävalmiuksia: moniammatillisuus, ongelmanratkaisutaidot ja tieto- ja viestintätekniikan taidot.
- Teacher
Joona Wiik
Kategooria: Faculty of Technology
Tavoitteet
Opintojakson suoritettuaan opiskelija osaa:
- Kehittää monisäikeistettyjä sovelluksia Javalla sekä soveltaa taitoja muissakin kielissä
- Ymmärtämää ja reagoida samanaikaisuuden ja rinnakkaisuuden tuomiin haasteisiin
- Ymmärtää hajautettuihin järjestelmiin ja asiakas-palvelin-arkkitehtuuriin liittyvät peruskäsitteet
- Pystyy suunnittelemaan ja toteuttamaan sokettipohjaisia verkkosovelluksia Javalla sekä soveltaa taitoja muissakin kielissä
- Ymmärtää tietoturvallisen kommunikaation periaatteet
Opintojakson suoritettuaan opiskelija osaa:
- Kehittää monisäikeistettyjä sovelluksia Javalla sekä soveltaa taitoja muissakin kielissä
- Ymmärtämää ja reagoida samanaikaisuuden ja rinnakkaisuuden tuomiin haasteisiin
- Ymmärtää hajautettuihin järjestelmiin ja asiakas-palvelin-arkkitehtuuriin liittyvät peruskäsitteet
- Pystyy suunnittelemaan ja toteuttamaan sokettipohjaisia verkkosovelluksia Javalla sekä soveltaa taitoja muissakin kielissä
- Ymmärtää tietoturvallisen kommunikaation periaatteet
- Teacher
Jarko Papalitsas
Kategooria: Department of Computing
- Teacher
Antero Järvi
Kategooria: Department of Computing
Objectives
After the course the student will be able to:
- differentiate and choose between user interface techniques and modalities for different purposes
- locate the background architectures and technical solutions for user interfaces and discuss these
- compare the key challenges and solutions for programming user interfaces on different platforms and business domains
- build and develop both procedural and declarative (with tools) user interfaces
- use event handling and reactive components in a user interface
- incorporate multi-threading and high performance graphics in the context of user interfaces
- develop concurrent user interfaces with complex interaction patterns
- justify and choose user interface models and programming patterns facilitating good user experience
- identify, locate and obtain information about user interface techniques
- conduct searches of literature (research and technical documentation) and evaluate the results
The course gives an understanding of designing, implementing and evaluating the usability of user interfaces. The student is also able to use different software frameworks and libraries to implement user interfaces.
The course strengthens the following working life skills: creativity, multi-professionalism, problem solving skills, project management, information and communication technology skills and communication skills.
After the course the student will be able to:
- differentiate and choose between user interface techniques and modalities for different purposes
- locate the background architectures and technical solutions for user interfaces and discuss these
- compare the key challenges and solutions for programming user interfaces on different platforms and business domains
- build and develop both procedural and declarative (with tools) user interfaces
- use event handling and reactive components in a user interface
- incorporate multi-threading and high performance graphics in the context of user interfaces
- develop concurrent user interfaces with complex interaction patterns
- justify and choose user interface models and programming patterns facilitating good user experience
- identify, locate and obtain information about user interface techniques
- conduct searches of literature (research and technical documentation) and evaluate the results
The course gives an understanding of designing, implementing and evaluating the usability of user interfaces. The student is also able to use different software frameworks and libraries to implement user interfaces.
The course strengthens the following working life skills: creativity, multi-professionalism, problem solving skills, project management, information and communication technology skills and communication skills.
- Teacher
Jari-Matti Mäkelä
Kategooria: Courses from Peppi
Objectives
This seminar course is meant to cover student participation in TurkuSec community meetings. After the course the participants have acquired knowledge of the latest trends and directions in the cybersecurity community in Turku.
The course enhances the following working life skills: Information and communication technology skills, Networking skills, Communication skills, Cooperation and negotiation skills
- Teacher
Antti Hakkala
Kategooria: Department of Computing
Objectives
To learn the principles and limitations of machine learning and AI approaches for biosignals and health data. To learn how to build machine learning models suitable for these data types. To learn how to derive predictions from the analysis results. To learn how to improve the analysis/prediction accuracy by fusing different data sources. To develop practical skills in biosignal analysis by doing hands-on exercises.
To learn the principles and limitations of machine learning and AI approaches for biosignals and health data. To learn how to build machine learning models suitable for these data types. To learn how to derive predictions from the analysis results. To learn how to improve the analysis/prediction accuracy by fusing different data sources. To develop practical skills in biosignal analysis by doing hands-on exercises.
- Teacher
Tuukka Panula
Kategooria: Courses from Peppi
Objectives
After completing the course, the student will have the necessary skills to work in a medical device development project. The student will understand the architecture of a medical embedded system including the most common interfacing protocols, sensing modalities and peripherals. You will learn how to interface between the physical world using sensors and microcontrollers. At the end of the course you will be able to build simple medical embedded sensor systems that include sensors, microcontrollers, embedded firmware and wireless communications capabilities. The student will also be able to take power constraint into consideration.
After completing the course, the student will have the necessary skills to work in a medical device development project. The student will understand the architecture of a medical embedded system including the most common interfacing protocols, sensing modalities and peripherals. You will learn how to interface between the physical world using sensors and microcontrollers. At the end of the course you will be able to build simple medical embedded sensor systems that include sensors, microcontrollers, embedded firmware and wireless communications capabilities. The student will also be able to take power constraint into consideration.
- Teacher
Tuukka Panula
Kategooria: Courses from Peppi
Objectives
After completing the course, the student will have the necessary skills to analyse data recorded by a typical wearable device such as a smart watch or an electrocardiogram patch. The student will learn about the specific properties of biosignals and understand what kind of methods typically work in real-life scenarios. Students will learn how to pre-process biosignals, how to detect peaks for heart and heart rate variability estimation, how to estimate the quality of biosignals and how to detect rhythm disorder. In addition, the students will learn about outlier detection and how to improve detection performance through post processing. At the end of the course, you will be able to analyse biosignal data and build working algorithms for basic, yet important, analysis tasks.
After completing the course, the student will have the necessary skills to analyse data recorded by a typical wearable device such as a smart watch or an electrocardiogram patch. The student will learn about the specific properties of biosignals and understand what kind of methods typically work in real-life scenarios. Students will learn how to pre-process biosignals, how to detect peaks for heart and heart rate variability estimation, how to estimate the quality of biosignals and how to detect rhythm disorder. In addition, the students will learn about outlier detection and how to improve detection performance through post processing. At the end of the course, you will be able to analyse biosignal data and build working algorithms for basic, yet important, analysis tasks.
- Teacher
Matti Kaisti
Kategooria: Department of Computing
Tavoitteet
Kurssin tavoitteet ovat:
- oppia tuntemaan lääkinnällisiä laitteita koskevaa sääntelykehystä ja -vaatimuksia,
- oppia tuntemaan laatujärjestelmien ja ISO13485-standardin perusteet,
- oppia tuntemaan lääkinnällisen laitteen teknisen dokumentaation vaatimukset,
- ymmärtää eri toimijoiden roolit lääkinnällisten laitteiden alalla,
- ymmärtää lääkinnällisen laitteen riskinhallintaa ISO14971-standardia hyödyntäen.
- Teacher
Tuomas Valtonen
Kategooria: Department of Computing
Tavoitteet
Kurssin käytyään opiskelija osaa kertoa, minkälaista biolääketieteellistä dataa bioinformatiikassa käytetään "raaka-aineena" ja minkälaisin menetelmin sitä analysoidaan ja tutkitaan; tuntee nimeltä muutamia tärkeimpiä DNA- ja proteiinitiedon tietokantoja Internetissä, osaa hakea niistä tietoa ja selittää pääpiirteissään, mitä muuta kuin pelkkä DNA:n tai proteiinin sekvenssi on tallennettu näihin tietokantoihin. Opiskelija osaa myös selittää, millä tavalla AlphaFold-tekoälymenetelmä on mullistanut proteiinien kolmiulotteisten rakenteiden tutkimuksen. Käytännön taitona kurssilla opitaan vertailemaan sekvenssien samankaltaisutta, sekä samankaltaisuuteen perustuvien hakumenetelmien avulla että omalla tietokoneella tehtävillä sekvenssirinnastuksilla. Lisäksi opiskelija osaa avata verkkotyökaluilla proteiinien 3D-rakenteita ja tarkastella niitä eri suunnilta.
Kurssin käytyään opiskelija osaa kertoa, minkälaista biolääketieteellistä dataa bioinformatiikassa käytetään "raaka-aineena" ja minkälaisin menetelmin sitä analysoidaan ja tutkitaan; tuntee nimeltä muutamia tärkeimpiä DNA- ja proteiinitiedon tietokantoja Internetissä, osaa hakea niistä tietoa ja selittää pääpiirteissään, mitä muuta kuin pelkkä DNA:n tai proteiinin sekvenssi on tallennettu näihin tietokantoihin. Opiskelija osaa myös selittää, millä tavalla AlphaFold-tekoälymenetelmä on mullistanut proteiinien kolmiulotteisten rakenteiden tutkimuksen. Käytännön taitona kurssilla opitaan vertailemaan sekvenssien samankaltaisutta, sekä samankaltaisuuteen perustuvien hakumenetelmien avulla että omalla tietokoneella tehtävillä sekvenssirinnastuksilla. Lisäksi opiskelija osaa avata verkkotyökaluilla proteiinien 3D-rakenteita ja tarkastella niitä eri suunnilta.
- Teacher
Martti Tolvanen
Kategooria: Department of Computing
The first lecture of the course is 25.2. 12.15 - 14.00 at the lecture hall XV, Natura Granö-sali.
The course consists of lectures, calculation exercises, and laboratories.
Basics of different sensor types and their operating principles, operational amplifiers and A/D converters. Measurement of different medically relevant signals and parameters such as electrical biosignals (ECG, EEG), blood volume, respiration, blood pressure, sound and movement.
- Teacher
Tero Koivisto
Kategooria: Department of Computing
Objectives
The aim of the course is to encourage students to participate in hackathon events organized outside regular university courses and to independently apply the skills acquired during their studies, either individually or as part of a team. Through this course, students can complement the skill portfolio gained from degree courses and develop independent learning skills for continuous learning and professional growth beyond formal education.
After completing the course, the student:
*Understands the importance of voluntary activities and continuous learning outside educational institutions for the development of professional expertise
*Is able to document skills acquired through programming projects and other voluntary IT-related activities in a digital competence portfolio
*Is capable of applying programming and IT knowledge gained during studies to solve practical problems in time-constrained challenges
The aim of the course is to encourage students to participate in hackathon events organized outside regular university courses and to independently apply the skills acquired during their studies, either individually or as part of a team. Through this course, students can complement the skill portfolio gained from degree courses and develop independent learning skills for continuous learning and professional growth beyond formal education.
After completing the course, the student:
*Understands the importance of voluntary activities and continuous learning outside educational institutions for the development of professional expertise
*Is able to document skills acquired through programming projects and other voluntary IT-related activities in a digital competence portfolio
*Is capable of applying programming and IT knowledge gained during studies to solve practical problems in time-constrained challenges
- Teacher
Jari Lehto
Kategooria: Department of Computing
FiTech students: please be patient. You will receive the Moodle registration instructions within a few weeks of being accepted to the course and having received the UTU credentials.
This is a basic level course for FiTech students.
The course cannot be included in degree studies at the department of computing (including BSc and MSc programmes). The course cannot be included in a degree if the degree studies already include at least one of the following courses: DTEK1068 Skills for Study and Work: Information and Cyber Security, DTEK1078 AI & Cybersecurity MOOC, DTEK0061 Digitalisation and Cyber Security, DTEK2071 Cyber Security Engineering.
- Teacher
Seppo Virtanen
Kategooria: Department of Computing
Objectives
After the course the participants will have advanced knowledge of the characteristics of computer systems and applications that are critical in terms of information security. The participants will develop advanced expertise in the role of information security in computer systems and application software. Participants have advanced understanding on the vulnerabilities in networked systems and how a malicious party may try to exploit them, and how to make systems and software safe and secure by design instead of considering safety and security as added features.
The course strengthens the following working life skills: creativity, problem solving skills, project management, information and communication technology skills, networking skills, communication skills and cooperation and negotiation skills.
- Teacher
Antti Hakkala
Kategooria: Department of Computing
If you previously (in fall 2024) had access to the Moodle page and now you don't, it is because you did not return the course background survey by the deadline and therefore it was assumed that you have decided to unenroll.
Please, pay special attention to the required preceeding studies before deciding to participate: you must have an accepted Bachelor's thesis and you must have taken at least one intermediate level network technology course (for example, Tietoverkkotekniikat at UTU).
- Teacher
Seppo Virtanen
Kategooria: Department of Computing
Objectives
After completing this course a student has both detailed theoretical knowledge and practical hands-on laboratory experience in different Firewall and IPS technologies. The student can specify, design, administer and analyze network security solutions based on both commercial and open source firewall and IPS software, has a good general understanding of network security, and deeper knowledge on specific advanced network security issues.
The course strengthens the following working life skills: creativity, problem solving skills, project management, information and communication technology skills, networking skills, communication skills and cooperation and negotiation skills.
After completing this course a student has both detailed theoretical knowledge and practical hands-on laboratory experience in different Firewall and IPS technologies. The student can specify, design, administer and analyze network security solutions based on both commercial and open source firewall and IPS software, has a good general understanding of network security, and deeper knowledge on specific advanced network security issues.
The course strengthens the following working life skills: creativity, problem solving skills, project management, information and communication technology skills, networking skills, communication skills and cooperation and negotiation skills.
- Teacher
Tahir Mohammad
Kategooria: Courses from Peppi
Objectives
After the completion of the course the student has understanding of the key technologies and security issues in heterogeneous network infrastructures including the service requirements placed on the contemporary and future communication networks. The student is able to specify the key requirements placed on the heterogeneous communication networks by secure transportation of future services.
The course strengthens the following working life skills: presentation skills, creativity, information and communication technology skills, networking skills and communication skills.
After the completion of the course the student has understanding of the key technologies and security issues in heterogeneous network infrastructures including the service requirements placed on the contemporary and future communication networks. The student is able to specify the key requirements placed on the heterogeneous communication networks by secure transportation of future services.
The course strengthens the following working life skills: presentation skills, creativity, information and communication technology skills, networking skills and communication skills.
- Teacher
Petri Sainio
Kategooria: Department of Computing
Security, privacy, and data protection are increasingly important for software systems and information technology in general. None of the concepts can be separated from each other. Thus, after this course, the participants will have advanced and holistic understanding of privacy and data protection on one hand and security on the other.
After the course, the students
know the basic elements of software security and privacy
are familiar with secure software engineering practices and techniques
know a broad set of software security threats and possible countermeasures
are familiar with secure programming and related tools
have a good knowledge of software vulnerabilities, their discovery and manifestations in software
have a broad understanding of GDPR, its elements, with a specific focus on software development
know the historical, philosophical and legal background of privacy and data protection
are familiar with privacy engineering and its core concepts
The course strengthens the following working life skills: creativity, multi-professionalism, problem solving skills and information and communication technology skills.
- Teacher
Ville Leppänen
Kategooria: Department of Computing
Objectives
After the course the participants will have developed advanced understanding and/or skills in a special cyber security topic. The topic varies annually. The course may not be organized every year.
The course strengthens the following working life skills: creativity, multi-professionalism, problem solving skills, organizational and coordination skills, project management, information and communication technology skills, communication skills and cooperation and negotiation skills.
After the course the participants will have developed advanced understanding and/or skills in a special cyber security topic. The topic varies annually. The course may not be organized every year.
The course strengthens the following working life skills: creativity, multi-professionalism, problem solving skills, organizational and coordination skills, project management, information and communication technology skills, communication skills and cooperation and negotiation skills.
- Teacher
Antti Hakkala
Kategooria: Department of Computing
Objectives
After the course the participants will have developed advanced understanding and/or skills in a special cyber security topic. The topic may vary annually. The course may not be organized every year.
The course strengthens the following working life skills: creativity, multi-professionalism, problem solving skills, organizational and coordination skills, project management, information and communication technology skills, communication skills and cooperation and negotiation skills.
After the course the participants will have developed advanced understanding and/or skills in a special cyber security topic. The topic may vary annually. The course may not be organized every year.
The course strengthens the following working life skills: creativity, multi-professionalism, problem solving skills, organizational and coordination skills, project management, information and communication technology skills, communication skills and cooperation and negotiation skills.
- Teacher
Antti Hakkala
Kategooria: Courses from Peppi
Objectives
This course presents the student with a general understanding about technology entrepreneurship. After completing the course the student will be familiar with several important skills related to acting and innovating in a technology business environment. During the course, the students gain understanding of the general process and roles involved in developing and implementing business ideas. Furthermore, the students will become acquainted with the thematic areas of matching customer needs and promising new technologies, conducting market and competitor analysis, organisational structures and projects of business entities, conducting product and process development in a technology business, basics in business finance, basics in business management, and human resource development.
Ultimately, the students will have an understanding on how modern technology-based businesses operate and strive to improve their competitiveness, and bring value to their owners, employees, customers, and the operating environment at large.
- Teacher
Tuomas Ranti
Kategooria: Department of Computing
Objectives
Student understands the notions of real and complex numbers and can carry out their operations. Student understand the concept of function intuitively and knows the properties of the most usual real functions, as well as some extensions to complex numbers.
- Teacher
Laszlo Major
Kategooria: Department of Computing
Objectives
After this course, the student can
• identify learning, project management and scheduling as skills that can be developed in the same way as the skills needed in other tasks in the field of technology
• understand product and service development as a process
• utilize various studying skills needed at university
• describe the technical tasks and job descriptions of professionals in the field
• plan their own career and describe career paths in technology generally
• analyze problems and issues in engineering work and solve problems as a team member
• identify good practices and operating methods in the field of technology
• present a project plan and project results in writing and orally.
- Teacher
Jouni Isoaho
Kategooria: Department of Computing
The course introduces computing including the following topics:
- history of computing
- symbolic representation of data
- algorithms and computability
- programming and software development
- hardware
- networking
- human–computer interaction
- ethics in computing
- Teacher
Jouni Smed
Kategooria: Department of Computing
Objectives
On completion of the course, the student will be able to:
• Explain the main characteristics, constraints, and components of an embedded system.
• Describe the main software and hardware challenges in low-power embedded devices.
• Use data sheets and schematics to write, debug, and optimize code that interfaces directly with hardware components in a real-time operating system.
• Develop practical lab skills required for embedded development, such as component-level debugging and advanced micro-soldering techniques.
• Understand the principles of real-time operating systems.
• Compare different hardware interfaces and communication protocols used in embedded systems.
- Teacher
Yasir Al-Ameri
Kategooria: Department of Computing