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Academic and Research Communication (5 ECTS)

Code: TX00EX68-3002

General information


Enrollment
09.05.2025 - 17.08.2025
Enrollment is ongoing
Enroll to the implementation in OMA
Timing
18.08.2025 - 02.11.2025
The implementation has not yet started.
Number of ECTS credits allocated
5 ECTS
Mode of delivery
On-campus
Unit
School of ICT and Industrial Management
Campus
Karaportti 2
Teaching languages
Finnish
Degree programmes
Information and Communication Technology

Implementation has 9 reservations. Total duration of reservations is 25 h 0 min.

Time Topic Location
Thu 21.08.2025 time 09:00 - 12:00
(3 h 0 min)
Tutkimusviestintä TX00EX68-3002
Online
Thu 28.08.2025 time 09:00 - 12:00
(3 h 0 min)
Tutkimusviestintä TX00EX68-3002
KMD758 Oppimistila
Fri 29.08.2025 time 09:00 - 10:30
(1 h 30 min)
Tutkimusviestintä
Online
Thu 04.09.2025 time 09:00 - 12:00
(3 h 0 min)
Tutkimusviestintä TX00EX68-3002
Online
Thu 11.09.2025 time 09:00 - 11:30
(2 h 30 min)
Tutkimusviestintä TX00EX68-3002
Online
Thu 18.09.2025 time 09:00 - 12:00
(3 h 0 min)
Tutkimusviestintä TX00EX68-3002
Online
Thu 25.09.2025 time 09:00 - 12:00
(3 h 0 min)
Tutkimusviestintä TX00EX68-3002
Online
Tue 30.09.2025 time 09:00 - 12:00
(3 h 0 min)
Tutkimusviestintä TX00EX68-3002
Online
Thu 09.10.2025 time 09:00 - 12:00
(3 h 0 min)
Tutkimusviestintä TX00EX68-3002
Online
Changes to reservations may be possible.

Objective

The course strengthens the skills needed for conducting the final project and writing the Bachelor’s thesis. The emphasis on the course contents varies according to the student’s major. The students primarily participate in the course organszed within their own major.

Content

• Bachelor’s thesis process
• Academic writing and seminar skills
• Defining objectives, scoping and selecting methodological approach
• Information retrieval, source criticism and promoting appropriate research writing practices
• Different forms of communication when presenting research results
• Peer review, providing and receiving constructive feedback

Location and time

Mainly Zoom, on the second week on Karamalmi campus.
Check the timetable and place from OMA Lukkarit.

Materials

Material provided by the teacher
Insinöörityöohjeet 2023

Teaching methods

Lessons, independent work, group work and pair work

Employer connections

-

Exam schedules

Not applicable.

International connections

-

Completion alternatives

Not applicable. When accrediting student’s prior learning, please, contact the teacher.

Student workload

5 cr equals 135 h

Content scheduling

-

Further information

Artificial intelligence and assessed assignments

Artificial intelligence is forbidden to use in assignments that are graded, unless otherwise stated. Using artificial intelligence in assessed assignments is considered academic dishonesty. If a teacher suspects the use of artificial intelligence and the student cannot demonstrate their skills, the student is considered to have acted dishonestly. In such cases, Metropolia University of Applied Sciences’ disciplinary guidelines are applied (Guidelines for the Handling of Disciplinary Matters at Metropolia UAS).

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student
• has achieved the objectives of the course
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.

Assessment criteria, good (3)

The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in learning and working life situations
• understands the importance of expertise in the ICT field and is able to analyse their own expertise.

Assessment criteria, excellent (5)

The student
• has achieved the objectives of the course with excellent marks
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in learning and working life situations
• is able to analyse expertise in the ICT field and their own development towards expertise.

Assessment criteria, approved/failed

The student
• has achieved the objectives of the course
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.

Assessment methods and criteria

Active participation in class
Home work
Presentation
Report
(Thesis) project plan

Attendance is required. A student can be absent once.
Detailed information in Moodle workspace.

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