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Interactive Technology and AI (5 op)

Toteutuksen tunnus: MS00CR81-3003

Toteutuksen perustiedot


Ilmoittautumisaika
02.06.2025 - 05.09.2025
Ilmoittautuminen toteutukselle ei ole vielä alkanut.
Ajoitus
01.09.2025 - 27.10.2025
Toteutus ei ole vielä alkanut.
Opintopistemäärä
5 op
Lähiosuus
5 op
Toteutustapa
Lähiopetus
Yksikkö
Tekniikka ja liiketoiminta / Master School
Toimipiste
Kupittaan kampus
Opetuskielet
englanti
Koulutus
Master of Engineering, Interactive Technologies
Master of Business Administration, Interactive Technologies
Opettajat
Timo Haavisto
Werner Ravyse
Ryhmät
YINTES24
Master of Engineering, Interactive Technologies
YINTBS24
Master of Business Administration, Interactive Technologies
Opintojakso
MS00CR81
Toteutukselle MS00CR81-3003 ei löytynyt varauksia!

Arviointiasteikko

H-5

Sisällön jaksotus

This is an online course
- The lecturers will provide self-study content in the form of recorded lectures and external resources
- Periodic online contact with the lecturers is also scheduled using this Zoom link: https://turkuamk.zoom.us/j/65197811513
- Students are strongly recommended to keep pace with the suggested schedule below:

01.09.2025 (15:00-17:00 online contact session)
- Welcome and course introduction
- Assigning your showcase topic that is worked on throughout the course

01.09.2025 (self study)
- Foundations, AI agents, LLMs and VLMs
- Fundamentals of the AI agent design and prototyping tools

08.09.2025 (independent work: essay assignment 01 with due date 14.09.2025)

10.09.2025 (15:00 - 17:00 checkpoint mentoring online contact)

15.09.2025 (self study)
- AI Agent design methods, architecture and pipelines
- Evaluation and analytics of LLM and generative neural networks

22.09.2025 (independent work: essay assignment 02 with due date 28.9.2025)

24.09.2025 (15:00 - 17:00 checkpoint mentoring online contact)

29.09.2025 (self study)
- RAG, vectorization, vector and graph databases, LORA, data annotation, data augmentation, generative models
- Teamwork, AI Agent pipeline creation and prototyping

06.10.2025 (independent work: essay assignment 03 with due date 12.10.2025)

08.10.2025 (15:00 - 17:00 checkpoint mentoring online contact)

19.10.2025 at 23:59 - deadline for all essay and showcase submissions

22.10.2025 (15:00 - 17:00 online contact session for showcase presentations)
- All students are expected to give a peer evaluation of all the showcase presentations

26.10.2025 at 23:59 - submission deadline for showcase peer evaluations

Tavoitteet

Upon completing the Interactive Technology and AI course, students will be able to:
- Calculate and interpret AI evaluation metrics.
- Propose and integrate a relevant and feasible AI solution into an interactive technology application.
- Find and critically apply relevant academic research toward solving an engineering challenge.
- Design and implement an experiment to test AI interventions for or stemming from interactive technology applications.

Sisältö

At the start of the course, students will go through a groundwork phase where they will attend a series of lectures on the latest AI techniques and what they mean for the interactive technology industry. These lectures will also contain material on how to critically evaluate AI solutions, both quantitatively and for practical feasibility.

After the groundwork phase, students will enter an individual conceptualisation phase. During this phase, students will be presented with a real-world problem from one of the Futuristic and Interactive Technologies research group’s RDI projects. Students are expected to consult academic literature and other reputable sources to conceptualise an AI implementation for the problem they were presented.

Upon completing the conceptualisation phase, students will commence a practical phase where they will be placed into a team to either implement the output of their conceptualisation phase or scientifically test an existing AI application.

Oppimateriaalit

The learning material and recommended resources will be made available by the lecturers through the course's ItsLearning page.

The explanatory material will be in the form of recorded lectures.

Other recommended literature will be in the form of relevant web resources and academic publications - since ICT (and AI in particular) is a constantly rapidly evolving field, the lecturers will dynamically allocate external sources as they deem necessary to ensure the course material relevance.

Opetusmenetelmät

Self study with scheduled lecturer support.

Tenttien ajankohdat ja uusintamahdollisuudet

This course is graded by assessing the specified essays and showcase.

The showcase presentation on 22.10.2025 is considered the final examination where your showcase will be reviewed by your peers and lecturers.

Illness and other extraordinary reasons for missing the presentation date will be considered for postponement and discussed with the student.

Pedagogiset toimintatavat ja kestävä kehitys

The course follows a CDIO showcase approach with theory knowledge acquisition and practical application of the theory

Theory knowledge
- Given in the form of recorded lectures and external resources
Theory knowledge assessment
- Essays regarding the topics covered in the recorded lecture material

Practical application
- A local AI showcase solution whereby students are expected to apply the lecture topics to their showcase.
Practical assessment
- The local AI showcase.
- The essays also require students to write a reflection about how their acquired theoretical knowledge impacted their showcase work.

Toteutuksen valinnaiset suoritustavat

No alternative methods of attainment are specified.

Opiskelijan ajankäyttö ja kuormitus

The course is a 5 ECTS course and requires students to be actively engaged for 135 hours according to the following approximations:
- Viewing theory material and studying external resources (30-40 hours)
- Essay writing (40-50 hours)
- Showcase preparation and presentation (45-65 hours)

Arviointimenetelmät ja arvioinnin perusteet

All essays and the showcase are due by 19.10.2025.
NOTE... It is highly recommended that students submit their work according to the schedule laid out in the content scheduling.

ESSAYS (x3):
The course is graded by assessing each submitted essay on a scale of 0-5.
The essay grading rubrics will be presented in detail as part of the course introduction on 01.09.2025.
The average of the three essays will count 40% of the course grade.

SHOWCASE (x1)
The showcase will be graded on a scale of 0-5.
The showcase grading rubric will be presented in detail as part of the course introduction on 01.09.2025.
The showcase assessment will count 60% of the course grade.

The rounding of grades to the nearest integer will be done to the second decimal:
For example, a final grade of 3,486 will be rounded to a grade of 3.

Hylätty (0)

All 3 essays and showcase are mandatory and must be completed and submitted by 19.10.2025.
Failure to submit any of the essays or showcase will result in a grade of 0 (failing the course).

Detailed grading criteria for the essays and the showcase will be given on 01.09.2025 during the course introduction.

As a general guideline, essays and the showcase will be given a grade of 0 when the student:
- Shows no understanding or analysis, and provides no supporting evidence for any arguments or assertions they make
- There is no reflection between the essay content and the showcase

Arviointikriteerit, tyydyttävä (1-2)

Detailed grading criteria for the essays and the showcase report will be given on 01.09.2025 during the course introduction.

As a general guideline, essays and the showcase will be given a grade of 1 or 2 when the student:
- Presents limited or poor understanding and analysis, with little to no evidence supporting the assignment arguments or assertions
- There is vague or shallow reflection between the essay content and the showcase

Arviointikriteerit, hyvä (3-4)

Detailed grading criteria for the essays and the showcase report will be given on 01.09.2025 during the course introduction.

As a general guideline, essays and the showcase will be given a grade of 3 or 4 when the student:
- Displays adequate understanding, but some arguments may lack depth or evidence (Grade 3).
- Shows good understanding and analysis, with most arguments and assertions supported by evidence (Grade 4).
- There is clear reflection between the essay content and the showcase

Arviointikriteerit, kiitettävä (5)

Detailed grading criteria for the essays and the showcase report will be given on 01.09.2025 during the course introduction.

As a general guideline, essays and the showcase will be given a grade of 5 when the student:
- Demonstrates comprehensive understanding and insightful analysis of the topic, and all arguments are well-supported with evidence.
- There is thoughtful reflection between the essay content and the showcase

Lisätiedot

There are no in-person contact sessions for this course.

We will use the following Zoom link for all online contact sessions:
https://turkuamk.zoom.us/j/65197811513

All learning material will be available on the course's ItsLearning page.

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