Student Type: Aikuisopiskelija
Artificial intelligence: Reasoning and decision-making
Max amount of FITech students: 250 This course is not for degree students. Artificial intelligence (AI) tackles complex cognitive and computational problems, such as decision-making, sensing, reasoning, problem-solving and planning, with rigorous mathematical methods and tools. The goal of this course is to give an in-depth introduction to AI methodology while approaching the topic from
Olio-ohjelmointi
Kurssin tavoitteena on oppia olio-ohjelmoinnin ajatusmaailmaa. Olio-ohjelmoinnin periaate on mallintaa reaalimaailmaa ja hyödyntää tätä ajattelua ohjelmoinnissa. Kurssi sopii kaikille, joilla on vähintäänkin perustiedot ohjelmointiin liittyen ja LUTissa se on suunnattu ensimmäisen vuoden peruskurssiksi kandidaatintutkinnon opiskelijoille. Kurssi on suunnattu aloitteleville ohjelmoijille, jotka haluavat laajentaa tietämystään ohjelmoinnin perusteiden jälkeen sekä oppia hieman graafisen käyttöliittymän tekemisestä ja haasteista.
C-ohjelmoinnin perusteet (kesätoteutus)
Tämä kurssi on LUTin C-ohjelmoinnin peruskurssi, jolla käsitellään C-kielen uudet konseptit sekä erot Python-kielen ratkaisuihin. Tämän kurssin tavoitteena on tutustua C-kielen erityispiirteisiin, saada rutiinia pienien C-ohjelmien tekemiseen ja tutustua C-kielen ratkaisuihin ohjelmien koon kasvaessa. Näin ollen kurssi valmistaa sen suorittajia ammattimaisiin ohjelmointitehtäviin. Kurssi sopii erityisesti tutkinto-opiskelijoille, jotka haluavat suorittaa yliopistotason C-ohjelmointikurssin pääosin etäopiskeluna. Kurssi sopii
Enterprise architectures
Max amount of FITech students: 50 adult learners After the course, the student With this knowledge the student is able to use and apply the software tools and practices in the way that they are able to model an enterprise architecture. Teaching methods The lectures will be held over Zoom (might not be recorded). Students
Gamification: Theory, practice and design
Course contents This course examines the theoretical understanding of gamification, the practical use of gamification as well as the design behind gamification. The course is divided into two parts: a series of lectures on four principal areas of gamification followed by a series of seminars in which students work in groups and select a topic
Basic course in C programming
Course contents Basic concepts of systems-level programming Basics of the C programming language Dynamic memory management and its application in common data structures Basic use of programming and debugging tools for C Small programming exercises in C After completing the course, the student knows the basics of C programming language and can independently write short
Introduction to web development and programming
Max amount of FITech students: 300 This course is only available for persons without a valid study right to a Finnish university or university of applied sciences. The course teaches how to build a simple online service step-by-step. The beginning of the course focuses on browsers and web pages. This knowledge is then extended to
Sustainable urban energy
Course contents Stage 1: Energy in cities (35h) Lectures: Own work: Stage 2: Building energy efficiency (65h) Lectures: Own work: Stage 3: Sustainability in cities (35h) Lectures: Own work: Learning outcomes After completing the course the student Course material Lecture slides and recommended reading provided on the course Moodle site. Teaching schedule Online course: Completion
Battery chemistries and components
Course contents Learning outcomes After completing the course, the students will Teaching methods Assessment methods Examination based on the course exercises. Workload Total workload is 135 h of which scheduled studies 30 h, project work 30 h and independent studies 75 h. Lectures More information in the University of Oulu study guide. You can get a
Software engineering management
Core content: Generic software life cycle models and their relation to software engineering management. Software engineering management models and trends. Agile software engineering. Software measurement. Estimating software costs. Software project planning. Analysis of project characters, challenges and risks. Software quality management. After completing this course, the student is able to: identify typical software project problems