Studying at the University

Course code

DTI6001.DT

old course code

Course title in Estonian

Õppimine kõrgkoolis

Course title in English

Studying at the University

ECTS credits

6.0

Assessment form

assessment

lecturer of 2024/2025 Autumn semester

Merike Saar (language of instruction:Estonian)

lecturer of 2024/2025 Spring semester

Not opened for teaching. Click the study programme link below to see the nominal division schedule.

Course aims

To shape readiness to study at the university and to create possibilities for collaboration and individual learning through shaping academic writing, information seeking and digital competencies. To support the capability to understand the role of digital technologies in modern society.

Brief description of the course

The themes covered during the course are:

- Digital competencies: Overview of the learning environments and social media as a medium for supporting learning, including digital portfolio. Collaboration environments and cloud services; mobile devices for supporting learning; presentation skills;

- Learning skills: Learning styles and strategies; planning of the learning process; time management, self-directness, preparing for the exams;

- Written- and oral self-expression: academic writing, types of academic texts, notes taking, presentations, formating the student works at the School of Digital Technologies, references;

- Information seeking, - sources and technologies - recognizing the need for information; process of information seeking: strategies and tactics. Databases, formulation of the information inquiry, specification, finding and selection of the information sources.

- Digital competencies: Overview of the learning environments and social media as a medium for supporting learning, including digital portfolio. Collaboration environments and cloud services; mobile devices for supporting learning; presentation skills;

- Learning skills: Learning styles and strategies; planning of the learning process; time management, self-directness, preparing for the exams;

- Written- and oral self-expression: academic writing, types of academic texts, notes taking, presentations, formating the student works at the School of Digital Technologies, references;

- Information seeking, - sources and technologies - recognizing the need for information; process of information seeking: strategies and tactics. Databases, formulation of the information inquiry, specification, finding and selection of the information sources.

Learning outcomes in the course

Upon completing the course the student:

- knows the learning environments used in learning process and is able to use technologies for supporting learning activities;

- is able to create correctly formatted academic text by using suitable information resources;

- is able to use critical thinking, reading and writing techniques and strategies, analyse the arguments’ content and present the position orally and written way;

- is able to plan the studies, analysing self and own possibilities and based on that make choices;

- knows the areas of research and development related to digital technologies and is able to discuss about the application areas of digital technologies in modern society.

- knows the learning environments used in learning process and is able to use technologies for supporting learning activities;

- is able to create correctly formatted academic text by using suitable information resources;

- is able to use critical thinking, reading and writing techniques and strategies, analyse the arguments’ content and present the position orally and written way;

- is able to plan the studies, analysing self and own possibilities and based on that make choices;

- knows the areas of research and development related to digital technologies and is able to discuss about the application areas of digital technologies in modern society.

Teacher

Merike Saar

The course is a prerequisite

Study programmes containing that course

Computer Science (IFIFB/25.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/24.DT)

Computer Science (IFIFB/24.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/23.DT)

Computer Science (IFIFB/23.DT)

Computer Science (IFIFB/22.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/22.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/21.DT)

Information Science (INITB/21.DT)

Computer Science (IFIFB/21.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/20.DT)

Information Science (INITB/20.DT)

Computer Science (IFIFB/20.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/19.DT)

Computer Science (IFIFB/19.DT)

Information Science (INITB/19.DT)

Information Science (INITB/18.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/18.DT)

Computer Science (IFIFB/18.DT)

Information Science (INITB/17.DT)

Computer Science (IFIFB/17.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/17.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/16.DT)

Information Science (INITB/16.DT)

Computer Science (IFIFB/16.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/00.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/24.DT)

Computer Science (IFIFB/24.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/23.DT)

Computer Science (IFIFB/23.DT)

Computer Science (IFIFB/22.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/22.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/21.DT)

Information Science (INITB/21.DT)

Computer Science (IFIFB/21.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/20.DT)

Information Science (INITB/20.DT)

Computer Science (IFIFB/20.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/19.DT)

Computer Science (IFIFB/19.DT)

Information Science (INITB/19.DT)

Information Science (INITB/18.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/18.DT)

Computer Science (IFIFB/18.DT)

Information Science (INITB/17.DT)

Computer Science (IFIFB/17.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/17.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/16.DT)

Information Science (INITB/16.DT)

Computer Science (IFIFB/16.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/00.DT)