Sisältöhaku

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

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

This self-study material has been created for students to support them in their bachelor’s thesis seminar. The purpose is to go through key points of research integrity and ethics in human sciences as well as practicalities related to data management and data protection.

REDMA

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

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

CONTENTS: * Introduction * Imaging and image representation * Color and shading * Binary image analysis * Texture analysis * Local features * Recognition * Motion from 2D image sequences * 2D models and transformations * Perceiving 3D from 2D images * 3D transformations and reconstruction LEARNING ACTIVITIES AND TEACHING METHODS: * Online lectures * Group works * Online exercises * Homework assignments (Python & Jupyter notebooks) SCHEDULE: Spring 2022 (period 3). ASSESSMENT METHODS AND CRITE...

521466S:2

Learning outcomes: After completing the course, the student is able to: Understand the core concepts related to market and competitor analysis, Assess the characteristics company’s external business environment, Plan competitor analysis on a strategic level, Analyze competitors’ performance against company’s own business objectives. Contents: The course addresses the analysis of an organization’s external environment, focusing on its market and competitors. These are viewed both from the stra...

721023S:1

Learning outcomes Students are familiar with electrocardiogram and autonomic nervous system regulation of cardiovascular system. Students know how to measure and analyze cardiac autonomic regulation and they can interpret the results by using heart rate variability tool. Learning activities and course content Lectures via Zoom Introduction and organizing the course (90 min) Cardiovascular regulation and measurement of autonomic nervous system (90 min) Heart rate variability background, measur...

521250S:1

KA00DA51

The aim of the training is to provide targeted support for supervisors. The participants will get the possibility to share experiences and knowledge, learn about best practices and learn from each other.

920037J