Sisältöhaku
Design in Urban Context, 2021
455522S:2
Machine Learning and Persuasive Systems Design
In this two day course we will examine various machine learning (and statistical learning) methods and their relationship to persuasive systems design. When designing personalized persuasive systems, often the personalization is based on user data, hence, a proper understanding of modern data science methods is key for successful personalized persuasive systems design. This course will cover supervised learning and reinforcement learning (multi-armed bandit problems), and it will explore rece...
816616J
Societal and Individual Impacts of Information Systems
After completing the course the student will be able to:* understand and discuss the impact of the ICT in the society and changes that take place,* understand how information systems transform ways of communication and interaction,* form an overview of how human and societal traits and ICT co-exist, for example, through a series of paradoxes as well as* gain basic understanding of behaviour change, behaviour analysis and digital intervention design as regards technology. See information and d...
817619S:1
Basic course in quantitative research copy 1
The major objectives of this course is - to get anxiety and fear out of statistical analysis - to acquire basic skills in quantitative study - to know how to use SPSS Contents for the course: - design a quantitative study in forms of questionnaire - prepare a codebook - prepare a data file with SPSS - do preliminary analyses with SPSS, including descriptive statistics, data manipulation, check reliability of a scale and statistical methods selection
407040A:8
Participatory Design, Design Thinking and Innovation for Socio-Technical Systems, Digital Communi...
Lecturer: Associate Professor José Abdelnour Nocera Date: 8.11.2021 15:00 to 16.11.2021 16:30 Place: Online DATE AND SCHEDULE: 8.11, 9.11, 15.11 and 16.11 every day at 15-16:30 EXTENT: 2 ECTS TEACHER: Associate Professor José Abdelnour Nocera Email: jose.abdelnour-nocera@uwl.ac.uk COORDINATOR and registration (University of Oulu): Dr. Mikko Rajanen Email: mikko.rajanen@oulu.fi MOODLE:https://moodle.oulu.fi/course/view.php?id=10526 COURSE DESCRIPTION The aim of this PhD course is to raise awar...
Design, thinking and innovation
Tietotekniikan erikoiskurssi 9 - Fundamentals of Sensing, Tracking, and Autonomy 2
Upon completion of the course the students will be able to: - Deeply understand the fundamentals common to widely used in robotics and autonomous systems. - Design and analyze planning algorithms. - Apply the material to critical problems in robotics, internet of things, and virtual and augmented reality. - Understand the links between theory and practice in sensing, filtering. and autonomous systems.
521257S:1
Tietojärjestelmien mallintaminen, suunnittelu ja kehitys
Kevään 2022 toteutus Laajuus: 5 op / 133 tuntia opiskelijan työtä Opetuskieli: suomi Ajoitus: Opintojakso järjestetään kevätlukukaudella, periodilla 4. Suositeltava suoritusajankohta opintojaksolle on kandiopintojen 1. vuosi. Osaamistavoitteet: Kurssin suoritettuaan opiskelija osaa * kuvailla mallintamisen yleiset periaatteet, * kuvailla mallintamisen merkityksen tietojärjestelmien suunnittelussa, * käyttää erilaisia mallintamismenetelmiä kuvaamaan ja suunnittelemaan tietojärjestelmiä eri näk...
812360A:2
Data Mining Project Spring 2022
Upon completion of the course, the student will be able to: - design and execute a small-scale data mining project - design a research plan and formulate research questions - select pre-processing methods appropriate for a given data setselect appropriate data mining and data analysis methods based on the data and the research questions - apply the selected methods to a real-world data set - interpret and evaluate the results of the analysis - present the results of the project and report the...
521251S:1