Learning and Study Skills (5 ECTS)

Objective

The student
• is able to work in digital learning environments and use the most common computer software and tools
• is able to apply basic scientific writing and professional presentation skills in learning assignments
• knows how to obtain knowledge in their learning environment
• is able to plan their studies, time management and career path
• identifies the factors affecting their well-being and knows how to use Metropolia’s student well-being services
• understands sustainable development as part of health care and social services.

In addition, the student
• has basic knowledge of information security and data protection
• knows the best practices of information security in higher education
• is able to handle data and information appropriately in a higher education environment, for example in the context of writing a thesis
• identifies threats to information security and in the cyber world at a basic level of knowledge
• understands the basic principles of the operation of large language models
• is aware of the limitations of artificial intelligence (AI)
• is able to train their own AI model and critically evaluate its performance
• is familiar with different models of AI.

Content

• Metropolia’s digital learning environments and the use of cloud services, templates and basic software
• Data protection and information security
• Basics of scientific writing and professional presentation skills
• Study skills and basics of information search
• Code of conduct and regulations governing studies
• Introduction to the student’s field of study
• Planning and support for the studies and career path
• Basics of sustainable development in health care and social services
• Basics of information security
• Basics of artificial intelligence

Location and time

Remote/distance learning, contact teaching at Myllypuro campus

Materials

The learning material of the course is presented in the course by the teachers of the course.

Teaching methods

independent learning, learning assignments, remote/distance learning, contact teaching

Employer connections

Possible working life cooperation related to the learning assignment is presented during the course.

Materials provided by teachers: All assignments and materials are under Copyright Act (404/61) and a teacher has the copyright. Assignments and materials are not allowed to be distributed or used in any other way. Distributing materials are only allowed if the teacher grants the permit.

Exam schedules

N/A

International connections

N/A

Completion alternatives

N/A

Student workload

5 cr ECTS, 5 x 27 h = 135 h

Content scheduling

N/A

Further information

Participation in the course lessons and completing the learning assignment approved is a prerequisite for completing the course.

If the student has individualized educational support / study arrangements, shall this student contact the teacher of the course immediately after the end of the registration period (or latest before the start of the course.)

The use of artificial intelligence is informed during the course within the learning assignments. In case the use of artificial intelligence is allowed, it is according the instruction of the learning assignment, and following the guidelines of Metropolia University of Applied Sciences.

Materials provided by teachers: All assignments and materials are under Copyright Act (404/61) and a teacher has the copyright. Assignments and materials are not allowed to be distributed or used in any other way. Distributing materials are only allowed if the teacher grants the permit.

RPL (Recognition of prior learning): You can contact the teacher in charge of the course before starting the course about the possible recognition of prior learning,

Evaluation scale

Hyväksytty/Hylätty

Assessment criteria, satisfactory (1)

Assessment: Pass/Fail
For assessment criteria, see the attachment.
The assessment criteria for beginners are applied.

Assessment criteria, good (3)

Assessment: Pass/Fail
For assessment criteria, see the attachment.
The assessment criteria for beginners are applied.

Assessment criteria, excellent (5)

Assessment: Pass/Fail
For assessment criteria, see the attachment.
The assessment criteria for beginners are applied.

Assessment criteria, approved/failed

Assessment: Pass/Fail
For assessment criteria, see the attachment.
The assessment criteria for beginners are applied.

Assessment methods and criteria

The assessment criteria in the Physiotherapy programme´s curriculum SXS25S2, assessment criteria of the learning assignments informed in the course.

Further information

Käytetään arviointikehikon tasoa aloittelija.

Further information

Käytetään arviointikehikon tasoa aloittelija.