Skip to main content

New and Emerging Technologies (5 cr)

Code: YTFWV100-3008

General information


Enrollment
12.08.2024 - 30.04.2025
Registration for the implementation has begun.
Timing
12.08.2024 - 31.05.2025
Implementation is running.
Number of ECTS credits allocated
5 cr
Local portion
0 cr
Virtual portion
5 cr
RDI portion
3 cr
Mode of delivery
Online learning
Unit
School of Technology
Teaching languages
English
Seats
0 - 90
Degree programmes
Master's Degree Programme in Information Technology, Full Stack Software Development
Teachers
Jouni Huotari
Teacher in charge
Jouni Huotari
Groups
YTP24S1
Master's Degree Programme in Robotics
YTS24S1
Master of Engineering, Degree Programme in Information Technology, Full Stack Software Development
ZJAYTS24S1
Avoin amk, ICT, YAMK-väylät, Full Stack Software Development , Monimuoto
YTI24S1
Master's Degree Programme in Artificial Intelligence and Data-analytics
ZJAYTI24S1
Avoin amk,ICT, YAMK-väylät, Artificial Intelligence and Data Analytics, Monimuoto
YTC24S1
Master of Engineering, Degree Programme in Cyber Security
YTS24S1AVO
Master of Engineering, Degree Programme in Information Technology, Full Stack Software Development
Course
YTFWV100
No reservations found for realization YTFWV100-3008!

Evaluation scale

Pass/Fail

Objective

You will learn at least one state-of-the-art technology and its applications in the chosen technology area. This includes the following learning outcomes:
1.Investigations
- ability to investigate the application of new and emerging technologies at the forefront of your specialisation area
- ability to identify, locate and obtain required data
- ability to conduct searches of literature, to consult and critically use databases and other sources of information, to carry out simulation in order to pursue detailed investigations and research of complex technical issues;
2.Lifelong Learning
- ability to engage in independent life-long learning;
- ability to undertake further study autonomously.

Content

We are living in a constantly changing world. New technologies emerge so rapidly that everybody has a challenge how to learn new things. The course contents are based on your own choice. You can pick any topic for which you choose virtual lectures (webinars) or participate courses offered by your company or other organisations (e.g. through MOOCs such as Udemy or Coursera) as long they are dealing with new and emerging technologies.

Location and time

This is a nonstop virtual course: You can start it anytime (during the semester) and return your work (a learning report and a summarising video) anytime (before the semester ends).

Materials

The learning environment provides some starting points (links). You need to listen to presentations about state-of-the-art technology and its applications. You need to pick virtual lectures (webinars) or participate in courses offered by your company or other organisations (e.g., through MOOCs such as Udemy or Coursera) so that the total amount of work (listening to presentations) is approximately 40 hours.

Teaching methods

This is a fully virtual course. This course is very well suited for students who are exploring potential (or current) topics for their thesis.

Completion alternatives

1. You report your main findings in a learning report (16-32 pages, approximately 5000 words). You can use any note-taking app or tool, but Microsoft Word is preferred because JAMK offers a template for that.
2. Summarize your findings in a 5-minute video presentation. For video recording, you can use PowerPoint, Teams, Panopto, or Zoom. Besides PowerPoint, you can use YouTube or Panopto to store and share your video.

When you are ready, 1) return the document (learning report) and 2) either a file containing the video presentation or link to it, both into the corresponding folder in our learning environment. After receiving feedback from the lecturer in charge, give feedback about the course (in Peppi).

Student workload

Total of 135 hours consisting of listening to webinars, etc. (approximately 40 hours), writing a learning diary/report (approximately 80 hours), and preparing/creating the summary presentation (approximately 15 hours).

Assessment criteria, approved/failed

Grading Scale: Pass/fail.
For passing you need to 1) deliver the learning report which contains at least 16 pages (max 32 pages, approximately 5000 words) of lessons learned and 2) a short (ca. 5 minutes) summarising video about the chosen technology. The key concepts and main findings (e.g. how to apply the chosen technology) should be presented in an understandable way by following the reporting guidelines provided by the student's own institution (e.g. adding references to previous work). If text is copied from elsewhere there should be the corresponding references; the total amount of text found elsewhere must be less that 25 %.
Fail (0): The student does now meet the minimum criteria set for the course. We are using an anti-plagiarism system (Turnitin) and if the total amount of text found elsewhere is more than 25 % (including text generated by AI), the learning report is marked as failed.

Qualifications

No prior knowledge is required.

Further information

We are using an anti-plagiarism system, so remember to refer to original sources according to recommendations and follow our reporting instructions. In addition, ethical principles must be followed. If you’ve used AI tools in your research, describe how you used the tool in your Method section or in a comparable section of your learning report.

Open Studies: 5

Go back to top of page