Digital Competence and Artificial Intelligence
Course code
HIK6442.HT
old course code
Course title in Estonian
Digipädevus ja tehisaru
Course title in English
Digital Competence and Artificial Intelligence
ECTS credits
6.0
Assessment form
Examination
lecturer of 2025/2026 Autumn semester
Andres Karjus (language of instruction:Estonian)
lecturer of 2025/2026 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
To support the development of critical knowledge and practical skills necessary for successful participation in today’s data-driven information society. The course aims to equip learners with the skills to use digital environments and tools, including artificial intelligence applications, effectively and responsibly, particularly in educational and research contexts.
Brief description of the course
This course is designed for students in the humanities to develop critical knowledge and practical skills for understanding digital technologies and their impact on contemporary society. It covers the basics of digital literacy, data literacy, and algorithmic thinking, including the practical application of quantitative and statistical methods in the humanities. Students will be introduced to the principles of programming, data analysis, and the use of AI-based applications in everyday life, as well as in educational and research activities. Ethical considerations, environmental impacts, and open-access solutions related to digital technologies will be emphasized throughout the course. Lectures, seminars, and independent work will enable students to acquire practical skills for the effective and responsible use of digital environments and tools.
Learning outcomes in the course
Upon completing the course the student:
- can critically evaluate their digital competence, identify their development needs, and enhance their skills according to personal and professional requirements;
- understands the principles of digital technologies and services, is aware of their social and ecological impacts, and can assess the environmental footprint of their own technology use. They can critically evaluate the opportunities, risks, and reliability of digital tools;
- is familiar with the main types of data and data analysis methods, can use data management environments and reference management applications, understands the basics of quantitative and statistical reasoning, and recognizes the principles of data reliability and bias;
- knows the key AI applications and tools, can use them responsibly, and assess their limitations and risks. They can apply automation and AI solutions in educational and research work and evaluate the effectiveness of the solutions used;
- understands the causes of variability in information reliability and bias, can critically assess the credibility of information and justify their evaluations. They are familiar with the basics of copyright and open licenses and can choose and use appropriate solutions for protecting information and content.
- can critically evaluate their digital competence, identify their development needs, and enhance their skills according to personal and professional requirements;
- understands the principles of digital technologies and services, is aware of their social and ecological impacts, and can assess the environmental footprint of their own technology use. They can critically evaluate the opportunities, risks, and reliability of digital tools;
- is familiar with the main types of data and data analysis methods, can use data management environments and reference management applications, understands the basics of quantitative and statistical reasoning, and recognizes the principles of data reliability and bias;
- knows the key AI applications and tools, can use them responsibly, and assess their limitations and risks. They can apply automation and AI solutions in educational and research work and evaluate the effectiveness of the solutions used;
- understands the causes of variability in information reliability and bias, can critically assess the credibility of information and justify their evaluations. They are familiar with the basics of copyright and open licenses and can choose and use appropriate solutions for protecting information and content.
Teacher
Andres Karjus
Additional information
Students are required to participate in one seminar of their choice during the semester and complete an individual assignment as part of it. This assignment will be evaluated and given feedback by the seminar instructor. The seminar is held in a computer lab and is practically oriented, aiming to teach specific skills in a chosen field. The number of participants in each seminar should not exceed 30 people. The total number of seminars offered depends on the overall number of participating students. The topics and instructors of the seminars may vary each academic year, depending on needs and available resources.
Study programmes containing that course