Service Design: Developing AI-Bot for Finnish Export Industry (15 op)
Toteutuksen tunnus: HL00BU34-3058
Toteutuksen perustiedot
- Ilmoittautumisaika
-
25.11.2024 - 10.12.2024
Ilmoittautuminen toteutukselle on päättynyt.
- Ajoitus
-
01.01.2025 - 31.07.2025
Toteutus on käynnissä.
- Opintopistemäärä
- 15 op
- Lähiosuus
- 15 op
- TKI-osuus
- 15 op
- Toteutustapa
- Lähiopetus
- Yksikkö
- 10 Liiketalous-, tietojenkäsittely- ja palvelualat
- Toimipiste
- Laurea Hyvinkää
- Opetuskielet
- englanti
- Paikat
- 5 - 8
- Koulutus
- Liiketalouden koulutus (HLB2), Laurea Hyvinkää
- Opettajat
- Pyry Airaksinen
- Aapo Hollanti
- Vastuuopettaja
- Aapo Hollanti
- Ryhmät
-
HLB224KA2Liiketalouden koulutus, projektijohtaminen, monimuotototeutus, K24, Hyvinkää
- Opintojakso
- HL00BU34
Tavoitteet
The student is able to
- plan, implement and evaluate a Service Design project with service design methods
- develop sustainable practices in organisations
Aika ja paikka
Please refer to the Timetable Engine at https://lukkarit.laurea.fi/ for the schedule information. Laurea reserves the right to modify the timetable.
Oppimateriaali ja suositeltava kirjallisuus
The source materials needed for the subject area of the project are selected separately after the project assignment.
Toteutustapa
This Service Design project is completed in cooperation with a working life partner in a P2P learning environment. Working life partner is Laurea UAS.
The enrolled students will develop their competencies related to the study in question during this project implementation.
Daytime learning:
An independently studied part (in Canvas) supports the project implementation, but it is important to take part in project teamwork and guidance on campus according to schedule. Studying requires active participation and commitment to interactive project work. You will receive individual feedback for assignments from the teacher, and working life or peer feedback are also utilised.
This project invites students to engage in the refinement, testing, and quality assurance of a customized Azure built AI-chatbot tailored for the Finnish export industry. The focus is on verifying the bot’s performance and user experience while developing comprehensive usage guidelines for export companies. Students will also identify potential enhancements to ensure the service’s long-term effectiveness.
Project’s guidance and working sessions can be viewed in Timetable Engine / Tuudo. Communication practices are agreed on a project-specific basis.
Laurea reserves the right to make changes.
Quality of implementation has been evaluated and self-evaluation report is available Teams.
Työelämäyhteistyö ja/tai TKI
Working life partner: Laurea UAS
Toteutuksen tärkeät päivämäärät
Kick-Off (mandatory participation): January 14th, at 10.30 on Hyvinkää campus. The class room will be announced to the participants prior to the meeting. Invitation to the meeting will be sent through Microsoft Teams to student's Laurea Microsoft account only!
It is compulsory to participate in the project kick-off meeting and client brief meeting so that everyone participating in the project will receive the information on the project task.
It is also mandatory to participate to the weekly project days on campus, including, but not limited to: Kick-off day, client briefing, skills demonstration day(s), mid-term evaluation, final evaluation, peer-evaluation days, project end-meeting with client, and spring 2025 project seminar day.
Project guidance is offered on a weekly basis. The student can compare the available guidance sessions in Timetable Engine and select those projects/studies that do not overlap.
According to the degree regulations (2024); the student must be present at the first contact lesson or notify the teacher in charge of their absence to confirm their participation in the study. Registration will be rejected if the student does not report their absence at the start of the study or the reason for the absence cannot be considered justified. Another student can be taken in their place. In project studies the first contact lesson is the first meeting of the project team and guiding lecture(s).
Kansainvälisyys toteutuksella
The project is suitable for exchange students.
Toteutuksen valinnaiset suoritustavat
According to the degree regulations (2024), Students are entitled to apply for recognition of prior learning regardless of where, when and how the competence has been acquired. ... At Laurea, there are two different procedures for the recognition and accreditation of prior learning: a) accreditation of prior learning (competence acquired in higher education studies at another institution) and b) demonstration of competence (competence acquired in other ways). The recognition and accreditation of prior learning is initiated by the student themselves. The student is responsible for demonstrating and verifying their competence. The student is entitled to guidance for the recognition and accreditation of their competence, Further information in the student intranet.
You may also assess work-based learning as a way to acquire the competence needed. Read more in the student intranet.
Opiskelijan ajankäyttö ja kuormitus
Workload of the study is measured in a way that to acquire the goal competence of the study, one credit corresponds to an average of 26.7 hours of work done by the student. The actual time needed varies e.g. according to prior competence.
Sisältö ja sen jaksotus
Aims of the project:
By the project’s conclusion, students will have:
Executed detailed testing and quality assurance processes.
Produced user-centric documentation and support materials.
Suggested new development strategies to boost the bot’s value for export companies.
Contributed to establishing a robust, future-proof AI solution to enhance international competitiveness.
Arviointiasteikko
H-5
Lisätiedot
The study unit corresponds to the requirements of Bachelor's level education.
This study implementation is a P2P project meaning that the project is completed in a small group and guided by a teacher. Participating in the project requires attendance in the project guidance meetings and group meetings.
The prerequisite for participation is always that the possible competence prerequisites according to the curriculum (previous study or similar competence) are fulfilled. The student is responsible for taking into account the prerequisite conditions. [If there are any skills that are not mentioned in the study information, describe them here.]
The quality of the study unit implementation has been assessed and the self-evaluation report is available for example in Canvas or Teams.