Reporting of the Thesis and Maturity Test (5 ECTS)

Learning outcomes

The student
• is able to report the results of their work, critically evaluate them and present development proposals in an appropriate written, oral and visual form.

Content

• Preparing and presenting a thesis report
• Conclusions, critical review
• Self-assessment and peer assessment
• Maturity test

Prerequisites

Implementation of the Thesis Work 5 ECTS

Teaching methods

Independent learning, small group tutorial, private tutorial, workshop

Location and time

Seminars 5-6.11.2025.
The seminars during the reporting phase of the thesis are mandatory.

Learning materials and recommended literature

Research methods literature, Sector professional literature, research articles

Alternative completion methods of implementation

N/A

Internship and working life connections

Project / Project-specific workplace cooperation

Exam dates and retake possibilities

Maturity test autumn 2025, week 47

International connections

N/A

Student workload

5 cr=135 h

Content scheduling

The results, reflection and summaries (in Finnish and English) Writing
• Evaluation of work presentation and disclosure, failure to work
• Maturity Test
• Store a job in the Theseus database
• Assessment of the thesis

Further information for students

The course pre-requisites: approved Thesis plan and implementation.

Opinnäytetyö (AMK), Kuntoutus ja tutkiminen
https://moodle.metropolia.fi/course/view.php?id=2213
Avain ont24

Opinnäytetyö, bioanalytiikka
https://moodle.metropolia.fi/course/view.php?id=3130§ion=0#tabs-tree-start
Avain ontbio

Wihi
 http://wihi.metropolia.fi

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

Arene's traffic flow model or
- Using AI in teaching, learning and learning activities - A working guide for teachers, tutors and students (pdf file)
- Arene's recommendations on the use of AI for universities of applied sciences

Assessment methods and criteria

The evaluation criteria see. annex. Assess the pass / fail.
The thesis project is expected at the end of the whole process.

Professional competence and development
• significance for the profession and the connection to professional practices
• utilization of professional knowledge
• development of professional competence
• applicability in professional life
The methods used and the results obtained
• reliablility and ethics
• validity and innovation
• the usefulness of results
• the management of the thesis process and the development work
Communication and presentation
• structure and form
• the use of standard and professional language
• the focus, clarity and consistency of the text and expressions
• critical, analytical and reflective nature of communication
• argumentation and use of reference sources

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

See the attachment "Framework for evaluation: Final project (Bachelor's)"

Assessment criteria, good (3)

See the attachment "Framework for evaluation: Final project (Bachelor's)"

Assessment criteria, excellent (5)

See the attachment "Framework for evaluation: Final project (Bachelor's)"

Assessment criteria, approved/failed

See the attachment "Framework for evaluation: Final project (Bachelor's)"