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Learning and Study Skills (5 cr)

Code: SX00FX45-3006

General information


Enrollment
05.05.2025 - 15.09.2025
Registration for implementation has not started yet.
Timing
18.08.2025 - 19.10.2025
The implementation has not yet started.
Number of ECTS credits allocated
5 cr
Mode of delivery
On-campus
Unit
School of Rehabilitation and Examination
Campus
Myllypurontie 1
Teaching languages
Finnish
Seats
0 - 32
Degree programmes
Optometry
Teachers
Elina Tirkkonen
Paula Lindqvist
Johanna Valtanen
Tanja Lehti
Heli Thomander
Saija Flinkkilä
Jukka Törnroos
Teacher in charge
Saija Flinkkilä
Groups
SXE25S2
Optometrian tutkinto-ohjelma monimuoto
Course
SX00FX45

Implementation has 23 reservations. Total duration of reservations is 52 h 30 min.

Time Topic Location
Tue 19.08.2025 time 13:00 - 14:30
(1 h 30 min)
ETÄ DIGISTARTTI: Oppimisen ja opiskelun valmiudet SX00FX45-3006 ja -3008
Wed 20.08.2025 time 10:00 - 15:45
(5 h 45 min)
Oppimisen ja opiskelun valmiudet SX00FX45-3006
Thu 21.08.2025 time 09:00 - 11:30
(2 h 30 min)
Oppimisen ja opiskelun valmiudet SX00FX45-3006
Thu 21.08.2025 time 12:30 - 15:45
(3 h 15 min)
Tietotekniikka: Oppimisen ja opiskelun valmiudet SX00FX45-3008, Oppimisen ja opiskelun valmiudet SX00FX45-3006
MPC3001 Oppimistila
Fri 22.08.2025 time 10:15 - 11:45
(1 h 30 min)
Oppimisen ja opiskelun valmiudet SX00FX45-3006
MPB6005 Oppimistila
Wed 27.08.2025 time 08:45 - 13:00
(4 h 15 min)
ETÄ Opiskelijan tuki Metropoliassa: Oppimisen ja opiskelun valmiudet
Wed 27.08.2025 time 14:00 - 15:30
(1 h 30 min)
ETÄ KV-info: Oppimisen ja opiskelun valmiudet
Thu 28.08.2025 time 12:30 - 14:00
(1 h 30 min)
Viestintä: Oppimisen ja opiskelun valmiudet SX00FX45-3006
MPC4001 Oppimistila
Thu 28.08.2025 time 14:15 - 15:00
(0 h 45 min)
ETÄ kirjastoinfo: Oppimisen ja opiskelun valmiudet SX00FX45-3006
Thu 04.09.2025 time 08:30 - 10:00
(1 h 30 min)
Oppimisen ja opiskelun valmiudet SX00FX45-3006
Thu 04.09.2025 time 10:15 - 11:45
(1 h 30 min)
Viestintä: Oppimisen ja opiskelun valmiudet SX00FX45-3006
MPB5010 Oppimistila
Thu 04.09.2025 time 12:30 - 14:00
(1 h 30 min)
ETÄ Tiedonhankintapaja: Oppimisen ja opiskelun valmiudet SX00FX45-3006
Wed 10.09.2025 time 08:30 - 11:45
(3 h 15 min)
Tietotekniikka: Oppimisen ja opiskelun valmiudet SX00FX45-3006, Oppimisen ja opiskelun valmiudet SX00FX45-3008
Wed 10.09.2025 time 12:30 - 14:30
(2 h 0 min)
Viestintä: Oppimisen ja opiskelun valmiudet SX00FX45-3006, Oppimisen ja opiskelun valmiudet SX00FX45-3008
Tue 16.09.2025 time 08:45 - 10:15
(1 h 30 min)
Viestintä: Oppimisen ja opiskelun valmiudet SX00FX45-3006
MPB5010 Oppimistila
Thu 18.09.2025 time 10:30 - 12:00
(1 h 30 min)
Tietotekniikka: Oppimisen ja opiskelun valmiudet SX00FX45-3006, Oppimisen ja opiskelun valmiudet SX00FX45-3008
Thu 18.09.2025 time 12:45 - 14:15
(1 h 30 min)
Oppimisen ja opiskelun valmiudet SX00FX45-3006
Thu 18.09.2025 time 14:30 - 16:00
(1 h 30 min)
Viestintä: Oppimisen ja opiskelun valmiudet SX00FX45-3006
MPB5010 Oppimistila
Thu 25.09.2025 time 08:30 - 11:45
(3 h 15 min)
Posteripaja: Oppimisen ja opiskelun valmiudet SX00FX45-3006
Tue 30.09.2025 time 12:30 - 14:00
(1 h 30 min)
Oppimisen ja opiskelun valmiudet SX00FX45-3006
Tue 30.09.2025 time 14:15 - 15:45
(1 h 30 min)
Kestävä kehitys Metropoliassa ja sosiaali- ja terveysalalla: Oppimisen ja opiskelun valmiudet SX00FX45-3006
Thu 09.10.2025 time 08:00 - 12:00
(4 h 0 min)
Seminaari: Oppimisen ja opiskelun valmiudet SX00FX45-3008, Oppimisen ja opiskelun valmiudet SX00FX45-3006
Fri 10.10.2025 time 08:00 - 12:00
(4 h 0 min)
Seminaari: Oppimisen ja opiskelun valmiudet SX00FX45-3008, Oppimisen ja opiskelun valmiudet SX00FX45-3006
Changes to reservations may be possible.

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

1. period, Autumn 2025

Materials

Moodle materials
Additional materials to be announced

Teaching methods

Interactive lecturer
Essay/paper
Distance learning
Contact teaching
Participatory methods
Project
Tutorials
Assignment-base instruction
Tutoring
Collaborative learning

Employer connections

Familiarization with own substance field.

Exam schedules

Learning assignments
Oppiportti - learning assignment

International connections

International affairs general info.

Completion alternatives

N/A

Student workload

5 ECTS = 135 students work hours

2 ECTS Degree Programme
1,5 ECTS Communications
1,5 ECTS Information technolog

Content scheduling

To be announced.

Further information

The course includes group work, which requires active participation.

The orientation of the course presents the whole content of the course and the learning tasks.

The student confirms his/her participation in the course by attending a orientation meeting or by informing the teacher responsible for the course in advance of his/her absence.

In cases of absence, the student must find out the content, schedule and learning tasks of the course itself.

Instructions on the use of artificial intelligence during the course are given separately. Students should familiarise themselves with Metropolia's AI guidelines and follow them in their study attainments.

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

Active participation in meetings, approved learning assignment and presentation, oppiportti - learning assignment.

Further information

Käytetään arviointikehikon tasoa aloittelija.

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

Further information

Käytetään arviointikehikon tasoa aloittelija.

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