Student Type: Degree student
Johdatus tietokonejärjestelmiin
Tällä kurssilla käsitellään tietokoneen arkkitehtuuria ja keskusyksikön (CPU) toimintaa. Kurssin aiheita ovat tietotyypit ja muistinhallinta, keskeytykset, laiterekisterit ja I/O, tietokoneen ohjelmointi ja laiteläheinen ohjelmointi sekä C-kielen perusteet. Kurssin suoritettuaan opiskelija ymmärtää tietokoneen arkkitehtuurin ja keskusyksikön toiminnan yleisellä tasolla. Lisätietoa kurssista Oulun yliopiston kurssisivulla. Tämän kurssin suorituksesta on mahdollista saada digitaalinen suoritusmerkki.
Cloud computing
Read about Marko’s experiences about the course here! NB! You can find this course on the application form under the study programme Åbo Akademi FITech-ICT courses 4/2021 and choosing the right course from the dropdown menu. Åbo Akademi will send you more information on the course practicalities ca 2 days after the application period has…
Software testing
NB! You can find this course on the application form under the study programme Åbo Akademi FITech-ICT courses 4/2021 and choosing the right course from the drop down menu. Åbo Akademi will send you more information on the course practicalities ca 2 days after the application period has ended. Testing of software applications is an…
Advanced course on databases
The course presents advanced topics in databases, like physical storage and indexing, query processing and optimisation, transaction processing, concurrency control and error recovery. After completing the course, the student will be able to: Student can choose to study the course online or attend the lectures. The exam is organised in Turku or Vaasa. More information…
Introduction to artificial intelligence
Max amount of FITech students: 30 Persons without a valid study right to a Finnish university have preference to this course. The course considers basic methods and problem solving with artificial intelligence-based approaches. The course is concentrated around concepts of search, regression, classification and clustering. The course highlights differences between supervised and unsupervised learning. The…
Digital image processing
Max amount of FITech students: 30 Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course. The course gives an introduction to digital image processing methods. The emphasis is in various image filtering techniques implemented both in spatial and frequency domains. Also, image compression and…
Programmering I
Kursinnehåll Efter genomgången kurs förstår den studerande principerna bakom program och programexekvering samt kan skriva enkla, välstrukturerade och väldokumenterade program i ett imperativt programmeringsspråk. Grunderna i strukturerad programmering tas upp med hjälp av enkla exempel, där problemlösning och modularisering betonas. Testning och felsökning behandlas också och betonas speciellt i de handledda räkneövningarna. I kursen behandlas…
Introduktion till informationsteknologi
Kursinnehåll Digitaliseringen påverkar alla samhällsområden genom att förändra strukturer, processer och arbetssätt. Den här kursen ger en inblick i informationsteknologi och dess betydelse för digitaliseringen. Under kursen får du både teoretisk och praktisk insikt i grunderna i datavetenskap och datateknik, genom teman såsom datalogiskt tänkande, algoritmer, mjuk- och hårdvara, internet, AI och data. En utökad…
Digital platform economy
Course content overlaps with course CS-E5310 ICT enabled service business and innovation (5 ECTS). Please choose only one of them. Course content Enablers of digitalisation, convergence, commoditisation, consumerisation (of IT), democratisation, disaggregation, disintermediation, power of digital aggregators and intermediators, specialisation, lowering entry barriers, servitisation, datafication, mobility, social media. Platforms, platform economy, network effects, boundary resources…
Introduction to IoT-based systems
The course introduces Internet of Things (IoT) systems as well as basics of concepts that are necessary to understand IoT systems. Course contents Learning outcomes After the course, the student will be able to These skills are needed to built IoT systems for practical industrial applications. Teaching methods Weekly video lectures that are available online.…